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ORCIDCoRR, November 2020
- Guillaume Ducoffe:
Distance problems within Helly graphs and k-Helly graphs. - Juan Liao, Wei Liu, Xiaoyan Wang:
Truncated Milstein method for non-autonomous stochastic differential equations and its modification. - Florent Foucaud, Shih-Shun Kao, Ralf Klasing, Mirka Miller, Joe Ryan:
Monitoring the edges of a graph using distances. - Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter:
Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. - Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Miguel Pino:
Streaming Simultaneous Speech Translation with Augmented Memory Transformer. - Cassie Meeker, Michaela Fraser, Sangwoo Park, Ava Chen, Lynne M. Weber, Mitchell Miya, Joel Stein, Matei T. Ciocarlie:
Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects. - Matthew Schwall, Tom Daniel, Trent Victor, Francesca Favaro, Henning Hohnhold:
Waymo Public Road Safety Performance Data. - Zhengyuan Yang, Amanda Kay, Yuncheng Li, Wendi Cross, Jiebo Luo:
Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation. - Timon S. Gutleb
, José A. Carrillo, Sheehan Olver:
Computing Equilibrium Measures with Power Law Kernels. - Lucky Qiaofeng Li, Xizhi Su:
Numerical Method for a Class of Algebraic Riccati Equations. - Timothy Nguyen, Zhourong Chen, Jaehoon Lee:
Dataset Meta-Learning from Kernel Ridge-Regression. - Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru:
(Un)Masked COVID-19 Trends from Social Media. - Nick Webb, Dan Smith, Christopher Ludwick, Trent Victor, Qi Hommes, Francesca Favaro, George Ivanov, Tom Daniel:
Waymo's Safety Methodologies and Safety Readiness Determinations. - Harshit Jain, Nishant Raj, Suyash Mishra:
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification. - Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel:
A New Neural Search and Insights Platform for Navigating and Organizing AI Research. - Janez Brest, Borko Boskovic:
In Searching of Long Skew-symmetric Binary Sequences with High Merit Factors. - Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar:
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. - Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic:
Learning Stable Normalizing-Flow Control for Robotic Manipulation. - Yao Yang, Andrew Nam, Mohamad M. Nasr-Azadani, Teresa Tung:
Resource-Aware Pareto-Optimal Automated Machine Learning Platform. - Alaa Alameer Ahmad, Yijie Mao, Aydin Sezgin, Bruno Clerckx:
Rate Splitting Multiple Access in C-RAN: A Scalable and Robust Design. - Olivier Sète, Jan Zur:
The transport of images method: computing all zeros of harmonic mappings by continuation. - John P. Lalor, Hong Yu:
Dynamic Data Selection for Curriculum Learning via Ability Estimation. - Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. - Canran Wang, Netanel Raviv:
Low Latency Cross-Shard Transactions in Coded Blockchain. - Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, Mohit Iyyer:
Analyzing Gender Bias within Narrative Tropes. - Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC and CTC Training for ASR. - Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang:
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments. - Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. - Martin Grohe, Peter Lindner:
Independence in Infinite Probabilistic Databases. - Frank A. Ibarra, Daniel Turizo, César Orozco-Henao, Javier Guerrero:
Generator Controller Tuning Considering Stochastic Load Variation Using Analysis of Variance and Response Surface Method. - Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab:
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback. - Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu:
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks. - Peiyao Sheng, Bowen Xue, Sreeram Kannan, Pramod Viswanath:
ACeD: Scalable Data Availability Oracle. - Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa:
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision. - Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
Semantic similarity-based approach to enhance supervised classification learning accuracy. - Nick Karcher, Richard Gebauer, Robin Bauknecht, Rainer Illichmann, Oliver Sander:
Versatile Configuration and Control Framework for Real Time Data Acquisition Systems. - Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre M. Bayen:
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL. - Tongtong Li, Ivan Yotov:
A mixed elasticity formulation for fluid-poroelastic structure interaction. - Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo:
Improving Dialogue Breakdown Detection with Semi-Supervised Learning. - Manuel Cruz Rodriguez, Victoria Hernández-Mederos, Jorge Estrada-Sarlabous, Eduardo Moreno Hernández, Ahmed Mansur Graverán:
Numerical solution of the wave propagation problem in a plate. - Samarth Gupta, Saurabh Amin:
Integer Programming-based Error-Correcting Output Code Design for Robust Classification. - Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann:
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation. - Anindo Saha, Prem Prasad, Abdullah Thabit:
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. - Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. - Azka Muji Burohman, Bart Besselink, Jacquelien M. A. Scherpen, M. Kanat Camlibel:
From data to reduced-order models via moment matching. - Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. - Xiaowu Dai, Michael I. Jordan:
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences. - Gustavo Zanoni Felipe, Jacqueline Nelisis Zanoni, Camila C. Sehaber-Sierakowski, Gleison D. P. Bossolani, Sara R. G. Souza, Franklin César Flores, Luiz E. S. Oliveira, Rodolfo Miranda Pereira, Yandre M. G. Costa:
Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images. - Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. - Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. - Esmaeil Seraj, Xiyang Wu, Matthew C. Gombolay:
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. - Aniruddha Tamhane, Jie Ying Wu, Mathias Unberath:
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics. - Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. - Pinyan Lu, Xuandi Ren, Enze Sun, Yubo Zhang:
Generalized Sorting with Predictions. - Guang Hua, Qingyi Wang, Dengpan Ye, Haijian Zhang:
Reliability of Power System Frequency on Times-Stamping Digital Recordings. - Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong:
Evaluation of Inference Attack Models for Deep Learning on Medical Data. - Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. - Shuman Peng, Weilian Song, Martin Ester:
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification. - Renshu Gu, Gaoang Wang, Jenq-Neng Hwang:
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution. - Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang:
Self-supervised Representation Learning for Evolutionary Neural Architecture Search. - Bingxu Li, Fanyong Cheng, Xin Zhang, Can Cui, Wenjian Cai:
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data. - Gaofeng Huang, Amir H. Jafari:
Enhanced Balancing GAN: Minority-class Image Generation. - Hancheng Cao, Zhilong Chen, Mengjie Cheng, Shuling Zhao, Tao Wang, Yong Li:
You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce. - Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. - Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir:
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. - Siddhartha Gairola, Francis Tom, Nipun Kwatra, Mohit Jain:
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting. - Xu Xiang:
The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020. - Junyuan Gao, Yongpeng Wu, Yongjian Wang, Wenjun Zhang, Fan Wei:
Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems. - Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. - Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang:
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs. - Shuyin Xia, Wenhua Li, Guoyin Wang, Xinbo Gao, Changqing Zhang, Elisabeth Giem:
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection. - Vivek Kumar Singh, Prashasti Singh, Mousumi Karmakar, Jacqueline Leta, Philipp Mayr:
The Journal Coverage of Web of Science, Scopus and Dimensions: A Comparative Analysis. - Haiwen Cao, Pascal O. Vontobel:
Using List Decoding to Improve the Finite-Length Performance of Sparse Regression Codes. - Aniket Bhushan, Vishesh Vatsal, Sri Anish Vutukuri, C. Barath, Abhijit Bannerji:
GTOC X: Karmarkar's Gang's Approach and Results. - Kristina Marner, Stefan Wagner, Guenther Ruhe:
Stakeholder identification for a structured release planning approach in the automotive domain. - Ilia Sucholutsky, Matthias Schonlau:
Optimal 1-NN Prototypes for Pathological Geometries. - Jin-Yuan Wang, Xian-Tao Fu, Rong-Rong Lu, Jun-Bo Wang, Min Lin, Julian Cheng:
Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise. - Bilal Abu-Salih:
Domain-specific Knowledge Graphs: A survey. - Khaled Alanezi, Shivakant Mishra:
An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm. - Sunil Vadera, Salem Ameen:
Methods for Pruning Deep Neural Networks. - Jhonny Mertz, Ingrid Nunes:
A Qualitative Study of Application-level Caching. - Ayesha Afzal, Georg Hager, Gerhard Wellein:
An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs. - Rodrigo Alejandro Chávez Mulsa, Gerasimos Spanakis:
Evaluating Bias In Dutch Word Embeddings. - Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. - Jhonny Mertz, Ingrid Nunes:
Automation of application-level caching in a seamless way. - Márton Véges, András Lörincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. - Rikke Bjerg Jensen:
Fragmented digital connectivity and security at sea. - Nikos Vasilakis, Cristian-Alexandru Staicu, Greg Ntousakis, Konstantinos Kallas, Ben Karel, André DeHon, Michael Pradel:
Mir: Automated Quantifiable Privilege Reduction Against Dynamic Library Compromise in JavaScript. - Gradimir V. Milovanovic:
Ostrowski type inequalities and some selected quadrature formulae. - Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. - Cheng Fu, Robert Weibel:
Measuring Place Function Similarity with Trajectory Embedding. - Sebastian Cmentowski, Jens H. Krüger:
Playing With Friends - The Importance of Social Play During the COVID-19 Pandemic. - Weidong Shi, Guanghui Ren, Yunpeng Chen, Shuicheng Yan:
ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition. - Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
LandmarkGAN: Synthesizing Faces from Landmarks. - Cory M. Knapp:
Partial Functions and Recursion in Univalent Type Theory. - Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz:
Viewpoint Planning for Fruit Size and Position Estimation. - Abdulrahman Aloraini, Juntao Yu, Massimo Poesio:
Neural Coreference Resolution for Arabic. - Paul Hand, Oscar Leong, Vladislav Voroninski:
Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. - Lei Dong, Xiaohui Yuan, Meng Li, Carlo Ratti, Yu Liu:
A gridded establishment dataset as a proxy for economic activity in China. - Parikha Mehrotra, David Yang, Scott Weigand, Shreyas Sen:
In-The-Wild Interference Characterization and Modelling for Electro-Quasistatic-HBC with Miniaturized Wearables. - Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Yue Wang, Rong Xiong:
Pose Randomization for Weakly Paired Image Style Translation. - Michael Dowd, Anna Dixon, Benjamin Kinsella:
Optimizing Waste Management Collection Routes in Urban Haiti: A Collaboration between DataKind and SOIL. - Liang Liao, Stephen John Maybank:
General Data Analytics with Applications to Visual Information Analysis: A Provable Backward-Compatible Semisimple Paradigm over T-Algebra. - S. D. Pogorilyy, A. A. Kramov:
Method of the coherence evaluation of Ukrainian text. - Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu:
Convergence analysis of neural networks for solving a free boundary system. - Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana:
Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. - Amirahmad Chapnevis, Babak Sadeghiyan:
A Secure Two-Party Computation Protocol for Intersection Detection between Two Convex Hulls. - Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. - Zona Kostic, Jared Jessup, Jeffrey Baglioni, Nathan T. Weeks, Johann Philipp Dreessen, Ning Chen, Tianyu Liu:
Visual Companion for Booklovers. - Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez:
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism. - Ella Rabinovich, Hila Gonen, Suzanne Stevenson:
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage. - Neil Yeung, Jonathan Lai, Jiebo Luo:
Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic. - Yasin Almalioglu, Angel Santamaria-Navarro, Benjamin Morrell, Ali-akbar Agha-mohammadi:
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments. - Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman:
Aspectuality Across Genre: A Distributional Semantics Approach. - Ahmed Ali, Yasser Hifny:
Efficient Arabic emotion recognition using deep neural networks. - Yatong Chen, Jialu Wang, Yang Liu:
Strategic Recourse in Linear Classification. - Wenshan Wang, Yaoyu Hu, Sebastian A. Scherer:
TartanVO: A Generalizable Learning-based VO. - Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, Fillia Makedon:
A Survey on Contrastive Self-supervised Learning. - Cao Vien Phung, Admela Jukan:
Increasing Transmission Distance in THz systems with Erasure Coding and Auxiliary Channels. - Qahhar Muhammad Qadir:
Analysis of the reliability of LoRa. - Maryam Dialameh, Ali Hamzeh, Hossein Rahmani:
DL-Reg: A Deep Learning Regularization Technique using Linear Regression. - David Gundana, Hadas Kress-Gazit:
Event-Based Signal Temporal Logic Synthesis for Single and Multi-Robot Tasks. - Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik I. Christensen:
Pose Estimation of Specular and Symmetrical Objects. - Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. - Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. - Shuonan Pei, Mingzhi Zhu:
Real-Time Text Detection and Recognition. - Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. - Meiyi Ma, John A. Stankovic, Ezio Bartocci, Lu Feng:
CityPM: Predictive Monitoring with Logic-Calibrated Uncertainty for Smart Cities. - Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. - Adilson Luiz Bonifácio, Camila Sonoda Gomes:
A Model-Based Testing Tool for Asynchronous Reactive Systems. - Carlo Tiseo, Vladimir Ivan, Wolfgang Merkt, Ioannis Havoutis, Michael N. Mistry, Sethu Vijayakumar:
A Passive Navigation Planning Algorithm for Collision-free Control of Mobile Robots. - Ankit Bandyopadhyay:
Measure Theoretic Approach to Nonuniform Learnability. - Skanda Shridhar, Yuhang Ma, Tara Stentz, Zhengdi Shen, Galen Clark Haynes, Neil Traft:
Beelines: Evaluating Motion Prediction Impact on Self-Driving Safety and Comfort. - Beidi Zhao, Shuai Li, Yanbo Gao, Chuankun Li, Wanqing Li:
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition. - Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone:
APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Peng Su, K. Vijay-Shanker:
Investigation of BERT Model on Biomedical Relation Extraction Based on Revised Fine-tuning Mechanism. - Zhaoen Su, Chao Wang, Henggang Cui, Nemanja Djuric, Carlos Vallespi-Gonzalez, David Bradley:
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization. - Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone:
APPLI: Adaptive Planner Parameter Learning From Interventions. - Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell:
The MAGICAL Benchmark for Robust Imitation. - Koji Takeda, Kanji Tanaka:
Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer. - Minh Tran, Yipeng Zhang, Mohammad Soleymani:
Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction. - Alexander H. Liu, Yu-An Chung, James R. Glass:
Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies. - Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli:
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach. - Varun Nagesh Jolly Behera, Ashish Ranjan, Motahar Reza:
Graph based Clustering Algorithm for Social Community Transmission Prediction of COVID-19. - Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. - Haonan Yan, Xiaoguang Li, Hui Li, Jiamin Li, Wenhai Sun, Fenghua Li:
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack. - Shinan Liu, Paul Schmitt, Francesco Bronzino, Nick Feamster:
Characterizing Service Provider Response to the COVID-19 Pandemic in the United States. - Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu:
Future-Aware Diverse Trends Framework for Recommendation. - Hardik Meisheri, Harshad Khadilkar:
Sample Efficient Training in Multi-Agent Adversarial Games with Limited Teammate Communication. - Arda Akdemir, Tetsuo Shibuya:
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition. - Xuan Li, Jessica McWilliams, Minchen Li, Cynthia Sung, Chenfanfu Jiang:
Soft Hybrid Aerial Vehicle via Bistable Mechanism. - Xiaochen Liu:
Efficient Pipelines for Vision-Based Context Sensing. - Roger S. Passos, Douglas de O. Cardoso:
Extrema Analysis of Node Centrality in Weighted Networks. - Muhammad Ashad Kabir, Jun Han, Md. Arafat Hossain, Steve Versteeg:
Heuristic-based Mining of Service Behavioral Models from Interaction Traces. - Congpei An, Hao-Ning Wu:
Lasso hyperinterpolation over general regions. - Yanmei Jiao, Lilu Liu, Bo Fu, Xiaqing Ding, Minhang Wang, Yue Wang, Rong Xiong:
Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth. - Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner:
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. - Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu:
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints. - Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza:
A Parallel Approach for Real-Time Face Recognition from a Large Database. - Keyu Chen, Di Zhuang, J. Morris Chang:
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation. - Anqiao Li, Zhicheng Wang, Jun Wu, Qiuguo Zhu:
Bound Controller for a Quadruped Robot using Pre-Fitting Deep Reinforcement Learning. - Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. - Hyokeun Lee, Seungyong Lee, Byeongki Song, Moonsoo Kim, Seokbo Shim, Hyun Kim, Hyuk-Jae Lee:
Mitigating Write Disturbance Errors of Phase-Change Memory as In-Module Approach. - Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbully Detection with User Interaction. - Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. - Baihua Shi, Nuo Chen, Xicheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang:
Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array. - Hadeel Saadany, Emad Mohamed, Constantin Orasan:
Fake or Real? A Study of Arabic Satirical Fake News. - Jeffrey O. Shallit:
Abelian Complexity and Synchronization. - Martin Servin, Tomas Berglund, Samuel Nystedt:
A multiscale model of terrain dynamics for real-time earthmoving simulation. - Jun Ma, Zilong Cheng, Xiaoxue Zhang, Masayoshi Tomizuka, Tong Heng Lee:
Alternating Direction Method of Multipliers for Constrained Iterative LQR in Autonomous Driving. - Jose Berengueres:
What is the T-Algorithm? A case study to evaluate a new University. - Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela:
Differentially Private Bayesian Inference for Generalized Linear Models. - Miruna Pislar, Marek Rei:
Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels. - Zhen-Chen Guo, Eric King-Wah Chu, Xin Liang:
Highly accurate decoupled doubling algorithm for large-scale M-matrix algebraic Riccati equations. - Chengcan Ying, Zhen Wu, Xinyu Dai, Shujian Huang, Jiajun Chen:
Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification. - Zhen Wu, Chengcan Ying, Xinyu Dai, Shujian Huang, Jiajun Chen:
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis. - Jhonny Mertz, Ingrid Nunes:
Understanding Application-Level Caching in Web Applications: A Comprehensive Introduction and Survey of State-of-the-Art. - Kevin Roitero:
Cheap IR Evaluation: Fewer Topics, No Relevance Judgements, and Crowdsourced Assessments. - A. Narasimhan, C. C. de Visser, Christophe De Wagter, M. Rischmueller:
Fault Tolerant Control of Multirotor UAV for Piloted Outdoor Flights. - Vitou Phy, Yang Zhao, Akiko Aizawa:
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems. - Shashank Srikanth, Mithun Babu, Houman Masnavi, Arun Kumar Singh, Karl Kruusamäe, K. Madhava Krishna:
Fast Adaptation of Manipulator Trajectories to Task Perturbation By Differentiating through the Optimal Solution. - Wei Deng, Yili Xia, Zhe Li, Wenjiang Pei:
On the Distribution of SINR for MIMO Systems with Widely Linear MMSE Receivers. - Jian Wen, Xuebo Zhang, Qingchen Bi, Zhangchao Pan, Yanghe Feng, Jing Yuan, Yongchun Fang:
MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches. - Ram Machlev, Nilanjan Roy Chowdhury, Juri Belikov, Yoash Levron:
Storage placement policy for minimizing frequency deviation: A combinatorial optimization approach. - Niv Pekar, Yaniv Benny, Lior Wolf:
Generating Correct Answers for Progressive Matrices Intelligence Tests. - Alon Eden, Michal Feldman, Inbal Talgam-Cohen, Ori Zviran:
Price of Anarchy of Simple Auctions with Interdependent Values. - Peyman Afshani:
A Lower Bound for Dynamic Fractional Cascading. - Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. - David Schaller, Manuela Geiß, Marc Hellmuth, Peter F. Stadler:
Best Match Graphs with Binary Trees. - Xiangyu Zhao, Hanzhou Wu, Xinpeng Zhang:
Watermarking Graph Neural Networks by Random Graphs. - Valerie Chen, Abhinav Gupta, Kenneth Marino:
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. - Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu:
AI Marker-based Large-scale AI Literature Mining. - Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He:
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering. - Bas van Stein, Hao Wang, Thomas Bäck:
Neural Network Design: Learning from Neural Architecture Search. - Ryan Steindl, Thomas Molnar, Fletcher Talbot, Nicolas Hudson, Benjamin Tam, Simon Murrell, Navinda Kottege:
Bruce - Design and Development of a Dynamic Hexapod Robot. - Kayla Boggess, Shenghui Chen, Lu Feng:
Towards Personalized Explanation of Robotic Planning via User Feedback. - Taimur Hassan, Ayman El-Baz, Naoufel Werghi:
Autonomous Extraction of Gleason Patterns for Grading Prostate Cancer using Multi-Gigapixel Whole Slide Images. - Julien Dupeyroux, Jesse J. Hagenaars, Federico Paredes-Vallés, Guido de Croon:
Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor. - Badr AlKhamissi, Muhammad N. ElNokrashy, Mohamed Gabr:
Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization. - Kyung Ho Park, Eunji Park, Huy Kang Kim:
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort. - Gamal Sallam, Zizhan Zheng, Jie Wu, Bo Ji:
Robust Sequence Submodular Maximization. - Zining Zhu, Yang Xu, Frank Rudzicz:
Semantic coordinates analysis reveals language changes in the AI field. - Huda Khayrallah, João Sedoc:
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. - Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. - Victor Zuanazzi, Joris van Vugt, Olaf Booij, Pascal Mettes:
Adversarial Self-Supervised Scene Flow Estimation. - Guoliang Liu, Qinghui Zhang, Yichao Cao, Junwei Li, Hao Wu, Guohui Tian:
Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features. - Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera:
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation. - Tobias Rosenberger, Saddek Bensalem, Alexander Knapp, Markus Roggenbach:
Institution-based Encoding and Verification of Simple UML State Machines in CASL/SPASS. - Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri, Ifeoma Nwogu:
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments. - Frederik Baymler Mathiesen, Garey Fleeman:
A Flow-Efficient and Legal-by-Construction Real-Time Traffic Signal Control Platform. - Jonas C. Kiemel, Torsten Kröger:
Learning Robot Trajectories subject to Kinematic Joint Constraints. - Samuel Louvan, Bernardo Magnini:
Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey. - Muntaha Iqbal, Kamran Amjad, Bilal Tahir, Muhammad Amir Mehmood:
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking. - Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua, Nenghai Yu:
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks. - Shi Chen, Qin Li, Jianfeng Lu, Stephen J. Wright:
Manifold Learning and Nonlinear Homogenization. - Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring:
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. - Scott McLachlan, Lisa C. Webley:
Visualisation of Law and Legal Process: An Opportunity Missed. - Nikolaos Tselepidis, Jonas Kohler, Antonio Orvieto:
Two-Level K-FAC Preconditioning for Deep Learning. - Omid Taheri, Hassan Salarieh, Aria Alasti:
Human Leg Motion Tracking by Fusing IMUs and RGB Camera Data Using Extended Kalman Filter. - Unnikrishnan Menon, Anirudh Rajiv Menon, Atharva Hudlikar:
A Novel Chaotic System for Text Encryption Optimized with Genetic Algorithm. - Andrew Wagenmaker, Julian Katz-Samuels, Kevin G. Jamieson:
Experimental Design for Regret Minimization in Linear Bandits. - Kyo Takano:
FusiformNet: Extracting Discriminative Facial Features on Different Levels. - Basma Alharbi, Hind Alamro, Manal Alshehri, Zuhair Khayyat, Manal Kalkatawi, Inji Ibrahim Jaber, Xiangliang Zhang:
ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset. - Xiang Deng, Zhongfei Zhang:
An Embarrassingly Simple Approach to Training Ternary Weight Networks. - Jason M. Pittman, Kyle Hoffpauir, Nathan Markle:
Primer - A Tool for Testing Honeypot Measures of Effectiveness. - Yaodong Yang, Jun Wang:
An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective. - Carlos Gómez-Rodríguez, Michalina Strzyz, David Vilares:
A Unifying Theory of Transition-based and Sequence Labeling Parsing. - Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley:
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process. - Martin Kerscher, Steffen Eger:
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation. - Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin:
MixKD: Towards Efficient Distillation of Large-scale Language Models. - Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev:
Random Fourier Features based SLAM. - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Bracketing Encodings for 2-Planar Dependency Parsing. - Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox:
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. - David Fridovich-Keil, Claire J. Tomlin:
Approximate Solutions to a Class of Reachability Games. - Guilherme Alves, Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli:
Making ML models fairer through explanations: the case of LimeOut. - Shane Rozen-Levy, Daniel E. Koditschek:
Technical Report: A New Hopping Controller for Highly Dynamical Bipeds. - Mike Kasper, Fernando Nobre, Christoffer Heckman, Nima Keivan:
Unsupervised Metric Relocalization Using Transform Consistency Loss. - Ilana Segall, Alfred M. Bruckstein:
Broadcast Guidance of Agents in Deviated Linear Cyclic Pursuit. - Nasim Ferdosian, Sara Berri, Arsenia Chorti:
5G New Radio Resource Allocation Optimization for Heterogeneous Services. - Yansong Gao, Pratik Chaudhari:
An Information-Geometric Distance on the Space of Tasks. - Jon Ander Campos, Kyunghyun Cho, Arantxa Otegi, Aitor Soroa, Gorka Azkune, Eneko Agirre:
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning. - Evgeny Dantsin, Alexander Wolpert:
Similarity Between Points in Metric Measure Spaces. - Henry Adams, Brittany Carr, Elin Farnell:
Support Vector Machines and Radon's Theorem. - Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. - Guowei Cui, Wei Shuai, Xiaoping Chen:
Semantic Task Planning for Service Robots in Open World. - Joshua Mack, Ruben Purdy, Kris Rockowitz, Michael Inouye, Edward Richter, Spencer Valancius, Nirmal Kumbhare, Md Sahil Hassan, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu:
RANC: Reconfigurable Architecture for Neuromorphic Computing. - Yixuan Wang, Dale McConachie, Dmitry Berenson:
Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints. - Peter Schrammel:
How Testable is Business Software? - Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. - Dietrich Trautmann:
Aspect-Based Argument Mining. - Evan S. Gawlik, Michael J. Holst, Martin W. Licht:
Local Finite Element Approximation of Sobolev Differential Forms. - Xing Han:
Transparent Interpretation with Knockouts. - Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas, Daniel E. Koditschek:
Technical Report: Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments. - Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry:
Long-term IaaS Selection using Performance Discovery. - Eric B. Chin, N. Sukumar:
Scaled boundary cubature scheme for numerical integration over polytopes and curved solids. Part I: Two-dimensional domains. - Shu Jiang, Yu Wang, Longtao Lin, Weiman Lin, Yu Cao, Jinghao Miao, Qi Luo:
DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling. - Sina Sayyah Ensan, Swaroop Ghosh, Seyedhamidreza Motaman, Derek Weast:
Addressing Resiliency of In-Memory Floating Point Computation. - Dong-Hyun Seo, Baibhab Chatterjee, Sean Scott, Daniel J. Valentino, Dimitrios Peroulis, Shreyas Sen:
A Wearable CMOS Biosensor with 3 Designs of Energy-Resolution Scalable Time-Based Resistance to Digital Converter. - Konstantina Dritsa, Thodoris Sotiropoulos, Haris Skarpetis, Panos Louridas:
Search Engine Similarity Analysis: A Combined Content and Rankings Approach. - Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu:
Multi-View Adaptive Fusion Network for 3D Object Detection. - Nicole Radziwill, Graham Freeman:
Reframing the Test Pyramid for Digitally Transformed Organizations. - Giulia Guidi, Marquita Ellis, Aydin Buluç, Katherine A. Yelick, David E. Culler:
10 Years Later: Cloud Computing is Closing the Performance Gap. - Ugur Mengilli, Umut Caliskan, Zeynep Ozge Orhan, Volkan Patoglu:
Stability and Transparency in Series Elastic Actuation: A Two-Port Analysis. - Tadashi Okoshi, Wataru Sasaki, Hiroshi Kawane, Kota Tsubouchi:
NationalMood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data. - Muhammad A. Shah, Shikib Mehri, Tejas Srinivasan:
Reasoning Over History: Context Aware Visual Dialog. - Tommaso Buvoli:
Exponential Polynomial Time Integrators. - Tommaso Buvoli:
Constructing Polynomial Block Methods. - Byungju Kim, Junho Yim, Junmo Kim:
Highway Driving Dataset for Semantic Video Segmentation. - Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. - Fajri Koto, Afshin Rahimi, Jey Han Lau, Timothy Baldwin:
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. - Shuhao Gu, Yang Feng:
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Liputan6: A Large-scale Indonesian Dataset for Text Summarization. - Evangelia Spiliopoulou, Salvador Medina Maza, Eduard H. Hovy, Alexander G. Hauptmann:
Event-Related Bias Removal for Real-time Disaster Events. - Robert Frank, Jackson Petty:
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora. - Guangyao Shi, Ishat E. Rabban, Pratap Tokekar:
Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. - Xingyu Lei, Zhifang Yang, Junbo Zhao, Juan Yu:
Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment. - Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu:
How Domain Terminology Affects Meeting Summarization Performance. - Nichelle'Le K. Carrington, Ian Dobson, Zhaoyu Wang:
Extracting resilience metrics from distribution utility data using outage and restore process statistics. - Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu:
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography. - Yuxin Huang, Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian, Min Liu, Kazushige Ouchi:
Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss. - Sean MacAvaney, Sergey Feldman, Nazli Goharian, Doug Downey, Arman Cohan:
ABNIRML: Analyzing the Behavior of Neural IR Models. - Frank Xiao:
Time Series Forecasting with Stacked Long Short-Term Memory Networks. - Jiapeng Liu, Xiao Zhang, Dan Goldwasser, Xiao Wang:
Cross-Lingual Document Retrieval with Smooth Learning. - Rafael C. Pinto:
Fast Reinforcement Learning with Incremental Gaussian Mixture Models. - Xiao Zhang, Dan Goldwasser:
Semi-supervised Autoencoding Projective Dependency Parsing. - Sheng Lei, Alexander J. Flueck:
Multistep Frequency Response Optimized Integrators and Their Application to Accelerating a Power System Transient Simulation Scheme. - Kanishka Ganguly, Behzad Sadrfaridpour, Krishna Bhavithavya Kidambi, Cornelia Fermüller, Yiannis Aloimonos:
Grasping in the Dark: Compliant Grasping using Shadow Dexterous Hand and BioTac Tactile Sensor. - Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang:
Toward Performance-Portable PETSc for GPU-based Exascale Systems. - Sangdon Park, Shuo Li, Osbert Bastani, Insup Lee:
PAC Confidence Predictions for Deep Neural Network Classifiers. - Hongyuan Mei, Tom Wan, Jason Eisner:
Noise-Contrastive Estimation for Multivariate Point Processes. - Song Fang, Quanyan Zhu:
Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach. - Guido De Luca, Carlos Luna:
Towards a certified reference monitor of the Android 10 permission system. - Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. - Ka Chun Lam, Ho Law, Lok Ming Lui:
CNN-Driven Quasiconformal Model for Large Deformation Image Registration. - Sergey Alyaev, Reidar Brumer Bratvold, Sofija Ivanova, Andrew Holsaeter, Morten Bendiksen:
An interactive sequential-decision benchmark from geosteering. - Beixiong Zheng, Changsheng You, Rui Zhang:
Efficient Channel Estimation for Double-IRS Aided Multi-User MIMO System. - Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz:
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging. - Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta:
Abstracting Influence Paths for Explaining (Contextualization of) BERT Models. - Kai Ma, Peng Wan, Daoqiang Zhang:
Transport based Graph Kernels. - Hang Le, Juan Miguel Pino, Changhan Wang, Jiatao Gu, Didier Schwab, Laurent Besacier:
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. - Ilkin Safarli, Youjia Zhou, Bei Wang:
Interpreting Graph Drawing with Multi-Agent Reinforcement Learning. - Penghang Liu, Ahmet Erdem Sariyüce:
Characterizing and Utilizing the Interplay Between Core and Truss Decompositions. - Jukka Ruohonen:
A Critical Correspondence on Humpty Dumpty's Funding for European Journalism. - Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali:
BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. - Hoang Thanh-Tung, Truyen Tran:
Toward a Generalization Metric for Deep Generative Models. - Joanne Taery Kim, Sehoon Ha:
Observation Space Matters: Benchmark and Optimization Algorithm. - David Samuel, Milan Straka:
ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN. - Shuhang Zhang, Hongliang Zhang, Boya Di, Yunhua Tan, Marco Di Renzo, Zhu Han, H. Vincent Poor, Lingyang Song:
Intelligent Omni-Surface: Ubiquitous Wireless Transmission by Reflective-Transmissive Metasurface. - Jungwoo Lim, Dongsuk Oh, Yoonna Jang, Kisu Yang, Heuiseok Lim:
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning. - Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh, Graham Neubig:
Reducing Confusion in Active Learning for Part-Of-Speech Tagging. - Feng Cen, Xiaoyu Zhao, Wuzhuang Li, Guanghui Wang:
Deep Feature Augmentation for Occluded Image Classification. - Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. - Jae-Jin Jeon, Eesung Kim:
Multitask Learning and Joint Optimization for Transformer-RNN-Transducer Speech Recognition. - Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza:
Using a Bi-directional LSTM Model with Attention Mechanism trained on MIDI Data for Generating Unique Music. - Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. - Ruo Ando, Yoshiyasu Takefuji:
A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem. - Yi Tang, Yuan Zhao, Wenyuan Li, Kaigui Xie, Juan Yu:
Incorporating Gas Pipeline Leakage Failure Modes in Risk Evaluation of Electricity-Gas Integrated Energy Systems. - Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari:
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering. - Nghia Vuong, Hung Pham, Quang-Cuong Pham:
Learning Sequences of Manipulation Primitives for Robotic Assembly. - Chao-Wei Huang, Yun-Nung Chen:
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding. - Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou:
Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints. - Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao:
CVC: Contrastive Learning for Non-parallel Voice Conversion. - Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer:
Context-based Image Segment Labeling (CBISL). - Jianhua Yang, Yan Huang, Kai Niu, Zhanyu Ma, Liang Wang:
Actor and Action Modular Network for Text-based Video Segmentation. - Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Deep Representation Decomposition for Feature Disentanglement. - Yang Zhao, Hao Zhang:
A topological approach to exploring convolutional neural networks. - Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. - Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp:
A Flexible Class of Dependence-aware Multi-Label Loss Functions. - Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. - Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Context Dependent Semantic Parsing: A Survey. - Fei Liu, Zihan Li, Yunhai Han, Jingpei Lu, Florian Richter, Michael C. Yip:
Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy. - Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon:
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. - Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu:
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. - Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey:
What's All the FUSS About Free Universal Sound Separation Data? - Pei Wang, Sihan Zhang, Qingteng Zhao, Jun Wu, Qiuguo Zhu:
Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots. - Kaushal Bhogale:
Data-free Knowledge Distillation for Segmentation using Data-Enriching GAN. - Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos:
Aggregating Incomplete and Noisy Rankings. - Viktor Bengs, Eyke Hüllermeier:
Multi-Armed Bandits with Censored Consumption of Resources. - Shichuan Deng:
Fault-Tolerant Center Problems with Robustness and Fairness. - Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier:
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. - Yaping Chen, Yangyu Kuang, Huazhong Tang:
Second-order accurate BGK schemes for the special relativistic hydrodynamics with the Synge equation of state. - Laurent Decreusefond, Guillaume Moroz:
Optimal transport between determinantal point processes and application to fast simulation. - Zhenliang Ma, Haris N. Koutsopoulos:
Near-on-Demand Mobility. The Benefits of User Flexibility for Ride-Pooling Services. - Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek:
Reinforcement Learning with Efficient Active Feature Acquisition. - Zihao Wang, Chen Lin, Lu Sheng, Junjie Yan, Jing Shao:
PV-NAS: Practical Neural Architecture Search for Video Recognition. - Marc Mezzarobba:
Rounding Error Analysis of Linear Recurrences Using Generating Series. - George Medina, Akashdeep Singh Jida, Sravan Kumar Pulipati, Rohith Talwar, Nancy Amala, Tareq Y. Al-Naffouri, Arjuna Madanayake, Mohammed Eltayeb:
Millimeter-Wave Antenna Array Diagnosis with Partial Channel State Information. - Jorge Peña Queralta, Li Qingqing, Fabrizio Schiano, Tomi Westerlund:
VIO-UWB-Based Collaborative Localization and Dense Scene Reconstruction within Heterogeneous Multi-Robot Systems. - Andreas Orthey, Marc Toussaint:
Sparse Multilevel Roadmaps on Fiber Bundles for High-Dimensional Motion Planning. - Daniel Hershcovich, Nathan Schneider, Dotan Dvir, Jakob Prange, Miryam de Lhoneux, Omri Abend:
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics. - Pranav Mani, E. S. Gopi, Koushik Kumaran, Hrishikesh Shekhar, Sharan Chandra:
Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors. - Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet:
Predicting Brain Degeneration with a Multimodal Siamese Neural Network. - Loe M. G. Feijs:
Analyzing the Structure of Mondrian's 1920-1940 Compositions. - Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo:
Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs. - Mahesh Chandra:
On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator. - Yuchen Zhao, Hanyang Liu, Honglin Li, Payam M. Barnaghi, Hamed Haddadi:
Semi-supervised Federated Learning for Activity Recognition. - Daniele Castellana, Davide Bacciu:
Learning from Non-Binary Constituency Trees via Tensor Decomposition. - Yuma Murakawa, Takashi Hikihara:
Output Series-Parallel Connection of Passivity-Based Controlled DC-DC Converters: Theoretical Generalization of Stability. - Ivan V. Kozitsin:
Opinion Dynamics of Online Social Network Users: A Micro-Level Analysis. - Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce. - Benjamin Murray, Eric Kerfoot, Mark S. Graham, Carole H. Sudre, Erika Molteni, Liane S. Canas, Michela Antonelli, Alessia Visconti, Andrew T. Chan, Paul W. Franks, Richard Davies, Jonathan Wolf, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin:
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. - Diptarka Chakraborty, Debarati Das, Robert Krauthgamer:
Approximating the Median under the Ulam Metric. - Dóra Babicz, Soma Kontár, Márk Peto, András Fülöp, Gergely Szabó, András Horváth:
Receptive Field Size Optimization with Continuous Time Pooling. - Mohammad Rouhani, Matthieu Fradet, Caroline Baillard:
Efficient texture mapping via a non-iterative global texture alignment. - Bernd Prünster, Alexander Marsalek, Thomas Zefferer:
Total Eclipse of the Heart - Disrupting the InterPlanetary File System. - Berkay Köprü, Engin Erzin:
Multimodal Continuous Emotion Recognition using Deep Multi-Task Learning with Correlation Loss. - Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang:
Membrane Fusion-Based Transmitter Design for Molecular Communication Systems. - Leyla Sadighi, Sadaf Salehkalaibar, Stefano Rini:
On Sum Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT. - Yaoyiran Li, Edoardo Maria Ponti, Ivan Vulic, Anna Korhonen:
Emergent Communication Pretraining for Few-Shot Machine Translation. - Yuting Fu, Andrei Sergeevich Terechko, Jan Friso Groote, Arash Khabbaz Saberi:
A Formally Verified Fail-Operational Safety Concept for Automated Driving. - Yi Yuan, Gan Zheng, Kai-Kit Wong, Björn E. Ottersten, Zhi-Quan Luo:
Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation. - Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum:
Advanced Semantics for Commonsense Knowledge Extraction. - Dan Ling, Huazhong Tang:
A physical-constraints-preserving genuinely multidimensional HLL scheme for the special relativistic hydrodynamics. - In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh:
Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets. - Josefine Holm, Anders E. Kalør, Federico Chiariotti, Beatriz Soret, Søren Kejser Jensen, Torben Bach Pedersen, Petar Popovski:
Freshness on Demand: Optimizing Age of Information for the Query Process. - Robin Jess Williams, Pablo Ramírez-Espinosa, Elisabeth de Carvalho, Thomas L. Marzetta:
Multiuser MIMO with Large Intelligent Surfaces: Communication Model and Transmit Design. - Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal:
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis. - Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Estimation in Data-Driven Modeling and Control. - Feicheng Huang, Zhixin Li, Haiyang Wei, Canlong Zhang, Huifang Ma:
Boost Image Captioning with Knowledge Reasoning. - Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini:
Learning in the Wild with Incremental Skeptical Gaussian Processes. - Nico Engel, Vasileios Belagiannis, Klaus Dietmayer:
Point Transformer. - Shu-Cun Li, Huazhong Tang:
Three discontinuous Galerkin methods for one- and two-dimensional nonlinear Dirac equations with a scalar self-interaction. - Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo:
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. - Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-start Recommendation. - Jukka Ruohonen, Kalle Hjerppe:
The GDPR Enforcement Fines at Glance. - Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui:
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution. - Yan Zhang, Ivor W. Tsang, Lixin Duan:
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation. - Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. - Froilán M. Dopico, Silvia Marcaida, María C. Quintana, Paul Van Dooren:
Block Full Rank Linearizations of Rational Matrices. - Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. - Anton Smerdov, Bo Zhou, Paul Lukowicz, Andrey Somov:
Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset. - Marius Mosbach, Stefania Degaetano-Ortlieb, Marie-Pauline Krielke, Badr M. Abdullah, Dietrich Klakow:
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English. - Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Combining Event Semantics and Degree Semantics for Natural Language Inference. - Yann Disser, David Weckbecker:
Unified greedy approximability beyond submodular maximization. - Oliver Karras, Svenja Polst, Kathleen Späth:
Using Vision Videos in a Virtual Focus Group: Experiences and Recommendations. - Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Context-Object Split Latent Spaces. - Joep Hamersma, Marc J. van Kreveld, Yushi Uno, Tom C. van der Zanden:
Gourds: a sliding-block puzzle with turning. - Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. - Dominique Fohr, Irina Illina:
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List. - Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao:
the Connection between Cryptography and Differential Privacy: a Survey. - Monika Henzinger, Pan Peng:
Constant-Time Dynamic Weight Approximation for Minimum Spanning Forest. - Benjamin Biggs, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotný:
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. - Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi:
Coresets for Regressions with Panel Data. - Tobias Winkler, Johannes Lehmann, Joost-Pieter Katoen:
Out of Control: Reducing Probabilistic Models by Control-State Elimination. - Aristides Dasso, Ana Funes, Daniel Riesco, German Montejano:
Computing Power, Key Length and Cryptanalysis. An Unending Battle? - JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. - Saumya Kumaar, Ye Lyu, Francesco Nex, Michael Ying Yang:
CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation. - Isaac Johnson:
Analyzing Wikidata Transclusion on English Wikipedia. - Mitt Shah, Nandit Pujara:
A Review On Software Defects Prediction Methods. - Steven Weber:
The 2020s Political Economy of Machine Translation. - Hal Ashton:
Causal Campbell-Goodhart's law and Reinforcement Learning. - Berk Kapicioglu, Ramiz Iqbal, Tarik Koc, Louis Nicolas Andre, Katharina Sophia Volz:
Chess2vec: Learning Vector Representations for Chess. - Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai:
Stochastic Linear Bandits with Protected Subspace. - Monika Henzinger, Stefan Neumann, Harald Räcke, Stefan Schmid:
Tight Bounds for Online Graph Partitioning. - Mathilde Brousmiche, Stéphane Dupont, Jean Rouat:
AVECL-UMONS database for audio-visual event classification and localization. - (Withdrawn) Depth Ranging Performance Evaluation and Improvement for RGB-D Cameras on Field-Based High-Throughput Phenotyping Robots.
- Peter A. Wijeratne, Daniel C. Alexander:
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression. - Chen Chen, Wenshao Zhong, Xingbo Wu:
Flexible File Address Space Management. - Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea:
Biased TextRank: Unsupervised Graph-Based Content Extraction. - Seongcheol Baek, Hiroyasu Ando, Takashi Hikihara:
Decentralized Algorithms for Consensus-Based Power Packet Distribution. - M. Bigdeli, E. De Negri, M. M. Dizdarevic, Elisa Gorla, R. Minko, S. Tsakou:
Semi-regular sequences and other random systems of equations. - Nikhil Fernandes, Alexandra Gkolia, Nicolas Pizzo, James H. Davenport, Akshar Nair:
Unification of HDP and LDA Models for Optimal Topic Clustering of Subject Specific Question Banks. - Sebastian Frischbier, Mario Paic, Alexander Echler, Christian Roth:
Poster: A Real-World Distributed Infrastructure for Processing Financial Data at Scale. - Raunak Sinha, Utkarsh Desai, Srikanth Tamilselvam, Senthil Mani:
Evaluation of Siamese Networks for Semantic Code Search. - Gernot Herbst:
Transfer Function Analysis and Implementation of Active Disturbance Rejection Control. - Nan Lin, Yuxuan Li, Yujun Zhu, Ruolin Wang, Xiayu Zhang, Jianmin Ji, Keke Tang, Xiaoping Chen, Xinming Zhang:
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control. - Yong Yu:
AI Chiller: An Open IoT Cloud Based Machine Learning Framework for the Energy Saving of Building HVAC System via Big Data Analytics on the Fusion of BMS and Environmental Data. - Elisa Gorla, Daniela Müller, Christophe Petit:
Stronger bounds on the cost of computing Groebner bases for HFE systems. - Gokhan Alcan, Ville Kyrki:
Differential Dynamic Programming with Nonlinear Safety Constraints Under System Uncertainties. - Ricardo Luna Gutierrez, Matteo Leonetti:
Information-theoretic Task Selection for Meta-Reinforcement Learning. - Basel Alhaji, Andreas Rausch, Michael Prilla:
Toward Mutual Trust Modeling in Human-Robot Collaboration. - Thomas Schlögl, Ulrich Schmid, Roman Kuznets:
The Persistence of False Memory: Brain in a Vat Despite Perfect Clocks. - Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. - Luyao Xu, Ming Chen, Mingzhe Chen, Zhaohui Yang, Christina Chaccour, Walid Saad, Choong Seon Hong:
Joint Location and Power Optimization for THz-enabled UAV Communications. - Jaswin, Indrawanto:
Application of Kalker Theory of Rolling Contact for Dynamic Simulation of Mobile Robots. - Philip Amortila, Nan Jiang, Tengyang Xie:
A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting. - Håkon Hukkelås, Frank Lindseth, Rudolf Mester:
Image Inpainting with Learnable Feature Imputation. - Robin Ruede, Verena Heusser, Lukas Frank, Alina Roitberg, Monica Haurilet, Rainer Stiefelhagen:
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information. - Andrea Bonito, Diane Guignard, Ricardo H. Nochetto, Shuo Yang:
LDG approximation of large deformations of prestrained plates. - Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance based Generalization in Reinforcement Learning. - Chengshuai Shi, Cong Shen:
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications. - Alberto Castillo, Pedro García:
Predicting the future state of disturbed LTI systems: A solution based on high-order observers. - Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P. B. Sujit:
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. - Javad Zarrin, Phang Hao Wen, Lakshmi Babu Saheer, Bahram Zarrin:
Blockchain for Decentralization of Internet: Prospects, Trends, and Challenges. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Carlos Segura:
Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders. - Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng:
Exploring Question-Specific Rewards for Generating Deep Questions. - Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain. - Shiwei Zeng, Jie Shen:
Learning Halfspaces with Pairwise Comparisons: Breaking the Barriers of Query Complexity via Crowd Wisdom. - Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. - Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, Rocío Alaíz-Rodríguez:
Short Text Classification Approach to Identify Child Sexual Exploitation Material. - Prateek Manocha, Prithwijit Guha:
Facial Keypoint Sequence Generation from Audio. - Charles-Edouard Bréhier, David Cohen:
Strong rates of convergence of a splitting scheme for Schrödinger equations with nonlocal interaction cubic nonlinearity and white noise dispersion. - Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. - Fangwen Shu, Paul Lesur, Yaxu Xie, Alain Pagani, Didier Stricker:
SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment. - Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. - Sayak Mukherjee, Thanh Long Vu:
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix. - Jingxi Chen, Amrish Baskaran, Zhongshun Zhang, Pratap Tokekar:
Multi-Agent Reinforcement Learning for Persistent Monitoring. - Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin:
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. - Suphan Kirmizialtin, David Joseph Wrisley:
Automated Transcription of Non-Latin Script Periodicals: A Case Study in the Ottoman Turkish Print Archive. - Alessandra Marli M. Morais, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles:
Dynamic Community Detection into Analyzing of Wildfires Events. - Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe:
Reducing the Annotation Effort for Video Object Segmentation Datasets. - Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Daniel P. W. Ellis, John R. Hershey:
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. - Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. - Grigori Fursin:
Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs. - Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel:
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. - Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun:
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. - Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Chris Biemann:
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets. - Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. - Xinyi Li, Lin Yuan, Longin Jan Latecki, Haibin Ling:
Pushing the Envelope of Rotation Averaging for Visual SLAM. - Yousef Emam, Gennaro Notomista, Paul Glotfelter, Magnus Egerstedt:
Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions. - Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin:
Bilevel Continual Learning. - Frederik Kunstner, Raunak Kumar, Mark Schmidt:
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent. - Rabab Alkhalifa, Arkaitz Zubiaga:
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs. - Ryan Sheatsley, Nicolas Papernot, Michael J. Weisman, Gunjan Verma, Patrick D. McDaniel:
Adversarial Examples in Constrained Domains. - Mohamed Mejri, Aymen Mejri:
RandomForestMLP: An Ensemble-Based Multi-Layer Perceptron Against Curse of Dimensionality. - Mohamad H. Danesh:
Reducing Neural Network Parameter Initialization Into an SMT Problem. - David Pujol, Yikai Wu, Brandon Fain, Ashwin Machanavajjhala:
Budget Sharing for Multi-Analyst Differential Privacy. - Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves:
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. - Valentyn M. Yanchuk, Andrii G. Tkachuk, Dmitry S. Antoniuk, Tetiana A. Vakaliuk, Anna A. Humeniuk:
Mathematical simulation of package delivery optimization using a combination of carriers. - Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar:
A Learning Theoretic Perspective on Local Explainability. - Rudolf Ferenc, István Siket, Péter Hegedüs, Róbert Rajkó:
Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction. - Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang:
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. - Erhan Bayraktar, Ibrahim Ekren, Xin Zhang:
Prediction against limited adversary. - Zhaowei She, Zilong Wang, Turgay Ayer, Asmae Toumi, Jagpreet Chhatwal:
Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests. - Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test. - Yue Zhang, Yajie Zou, Jinjun Tang, Jian Liang:
A Lane-Changing Prediction Method Based on Temporal Convolution Network. - Shelby Smith, Chaitanya K. Baru:
NSF Convergence Approach to Transition Basic Research into Practice. - Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Site-to-Site Internet Traffic Control. - Jordan Jueckstock, Peter Snyder, Shaown Sarker, Alexandros Kapravelos, Benjamin Livshits:
There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage. - (Withdrawn) Modular-Relatedness for Continual Learning.
- Simon Niklaus, Long Mai, Oliver Wang:
Revisiting Adaptive Convolutions for Video Frame Interpolation. - Jingyan Zhang, Siu Wun Cheung:
Analysis of Non-local Multicontinuum Upscaling for Dual Continuum Model. - Jason S. Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz:
Exemplar Guided Active Learning. - Bin Han, Michelle Michelle, Yau Shu Wong:
Dirac Assisted Tree Method for 1D Heterogeneous Helmholtz Equations with Arbitrary Variable Wave Numbers. - Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling:
Useful Policy Invariant Shaping from Arbitrary Advice. - Yuchen Wu, Melissa Mozifian, Florian Shkurti:
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models. - Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han:
IOS: Inter-Operator Scheduler for CNN Acceleration. - Nicholas Quek Wei Kiat, Duo Wang, Mateja Jamnik:
Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices. - Luke Melas-Kyriazi:
The Mathematical Foundations of Manifold Learning. - Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan:
Automatic Detection of Machine Generated Text: A Critical Survey. - Shinhoo Kang, Tan Bui-Thanh:
A scalable exponential-DG approach for nonlinear conservation laws: with application to Burger and Euler equations. - Peter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva:
Valuing Player Actions in Counter-Strike: Global Offensive. - Brian B., William Fleshman, Kevin H., Ryan Kaliszewski, Shawn R:
Deception and the Strategy of Influence. - Bao Huynh, Haimonti Dutta, Dane Taylor:
Impact of Community Structure on Consensus Machine Learning. - Pablo V. A. Barros, Ana Tanevska, Özge Nilay Yalçin, Alessandra Sciutti:
Incorporating Rivalry in Reinforcement Learning for a Competitive Game. - Rubén Aylwin, Carlos Jerez-Hanckes:
The effect of quadrature rules on finite element solutions of Maxwell variational problems. Consistency estimates on meshes with straight and curved elements. - Denis Korolkov, Stepan Rakhimov:
Essential Scattering Applications for Everyone. Overview. - Feiran Jia, Kai Zhou, Charles A. Kamhoua, Yevgeniy Vorobeychik:
Blocking Adversarial Influence in Social Networks. - Kailai Xu, Weiqiang Zhu, Eric Darve:
Distributed Machine Learning for Computational Engineering using MPI. - Mohammad Mahdi Mahvari, Mari Kobayashi, Abdellatif Zaidi:
On the Relevance-Complexity Region of Scalable Information Bottleneck. - Yuheng Wang, Wen Jie Zhao, Jiahui Xu, Raymond Hong:
Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering. - Kenny Chen, Alexandra Pogue, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Ankur Mehta:
Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints. - Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis:
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning. - Shuo Yang, Gerry Chen, Yetong Zhang, Frank Dellaert, Howie Choset:
Equality Constrained Linear Optimal Control With Factor Graphs. - Feicheng Wang, Lucas Janson:
Exact Asymptotics for Linear Quadratic Adaptive Control. - Martin Grohe, Daniel Neuen:
Recent Advances on the Graph Isomorphism Problem. - Narasimha Raghavan Veeraragavan, Kaiwen Zhang:
A position paper on GDPR compliance in sharded blockchains: rehash of old ideas or new interesting challenges? - Nikolajs Skuratovs, Michael Davies:
Compressed Sensing with Upscaled Vector Approximate Message Passing. - Yuting Li, Christoforos N. Hadjicostis, Naiqi Wu, Zhiwu Li:
Error- and Tamper-Tolerant State Estimation for Discrete Event Systems under Cost Constraints. - Dennis Wei:
Optimal Policies for the Homogeneous Selective Labels Problem. - Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
Cortex: A Compiler for Recursive Deep Learning Models. - Litao Yu, Jian Zhang, Qiang Wu:
Dual Attention on Pyramid Feature Maps for Image Captioning. - Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition. - Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang:
Parameter Efficient Deep Neural Networks with Bilinear Projections. - Yunpeng Weng, Xu Chen, Liang Chen, Wei Liu:
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs. - Sergio Caucao, Tongtong Li, Ivan Yotov:
A multipoint stress-flux mixed finite element method for the Stokes-Biot model. - Danilo H. Perico, Paulo E. Santos, Reinaldo A. C. Bianchi:
Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning. - Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. - Haolin Zhang, Dongfang Yang, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner:
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion. - Majed El Helou, Sabine Süsstrunk:
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration. - Celeste Barnaby, Koushik Sen, Tianyi Zhang, Elena L. Glassman, Satish Chandra:
Exempla Gratis (E.G.): Code Examples for Free. - Tao Li, Quan Qiu, Chunjiang Zhao:
Hybrid Visual Servoing Tracking Control of Uncalibrated Robotic Systems for Dynamic Dwarf Culture Orchards Harvest. - (Withdrawn) Multi-level Forwarding and Scheduling Recovery Algorithm in Rapidly-changing Network for Erasure-coded Clusters.
- Siheng Chen, Maosen Li, Ya Zhang:
Sampling and Recovery of Graph Signals based on Graph Neural Networks. - Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. - Li Sun, Haoqi Zhang, Songyang Zhang, Jiebo Luo:
Content-based Analysis of the Cultural Differences between TikTok and Douyin. - Hong Liu, Jeff Z. HaoChen, Colin Wei, Tengyu Ma:
Meta-learning Transferable Representations with a Single Target Domain. - Weidong Wang, Wangda Luo:
Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems. - Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. - Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
GAGE: Geometry Preserving Attributed Graph Embeddings. - Guo-Hua Wang, Yifan Ge, Jianxin Wu:
In Defense of Feature Mimicking for Knowledge Distillation. - Hiromi Yasuda, Kyle Johnson, Vicente Arroyos, Koshiro Yamaguchi, Jordan R. Raney, Jinkyu Yang:
Leaf-like Origami with Bistability for Self-Adaptive Grasping Motions. - Jiacheng Wang, Yue Ma, Shuang Gao:
Self-semi-supervised Learning to Learn from NoisyLabeled Data. - Gaurab Banerjee, Samuel Spinner, Yasmine Mitchell:
"You eat with your eyes first": Optimizing Yelp Image Advertising. - Marco Molinaro:
Robust Algorithms for Online Convex Problems via Primal-Dual. - Minho Kim, Doyoung Jeong, Hyoungwoo Choi, Yongil Kim:
Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea. - Jun Gao, Wenzheng Chen, Tommy Xiang, Clement Fuji Tsang, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Learning Deformable Tetrahedral Meshes for 3D Reconstruction. - Xiaoyi Li:
A Scenario-Based Development Framework for Autonomous Driving. - Yuan Tang, Weiguo Gao:
Balanced Partitioning of Several Cache-Oblivious Algorithms. - Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek:
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations. - Tianyu Wang, Lin F. Yang, Zizhuo Wang:
Random Walk Bandits. - Mingdong Zhang, Li Chen, Xiaoru Yuan, Renpei Huang, Shuang Liu, Junhai Yong:
Visualization of Technical and Tactical Characteristics in Fencing. - Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee:
A Two-Stage Approach to Device-Robust Acoustic Scene Classification. - Jiacheng Wang, Yong Fan, Duo Jiang, Shiqing Li:
Meta-Learning for Natural Language Understanding under Continual Learning Framework. - Xue-Jun Wang, Maura R. Grossman, Seung Gyu Hyun:
Participation in TREC 2020 COVID Track Using Continuous Active Learning. - Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason:
Contact Mode Guided Sampling-Based Planning for Quasistatic Dexterous Manipulation in 2D. - Shutian Liu, Tao Li, Quanyan Zhu:
Communication-Efficient Distributed Machine Learning over Strategic Networks: A Two-Layer Game Approach. - Tongtao Zhang, Biswadip Dey, Pratik Kakkar, Arindam Dasgupta, Amit Chakraborty:
Frequency-compensated PINNs for Fluid-dynamic Design Problems. - Thippa Reddy Gadekallu, Manoj M. K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya:
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications. - Lin Mu, Xiu Ye, Shangyou Zhang:
A stabilizer free, pressure robust, and superconvergence weak Galerkin finite element method for the Stokes Equations on polytopal mesh. - Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Weakly- and Semi-supervised Evidence Extraction. - Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li:
Training Wake Word Detection with Synthesized Speech Data on Confusion Words. - Beibei Lin, Shunli Zhang, Xin Yu, Zedong Chu, Haikun Zhang:
Learning Effective Representations from Global and Local Features for Cross-View Gait Recognition. - Zhibin Li, Litao Yu, Jian Zhang:
Distribution-aware Margin Calibration for Medical Image Segmentation. - Liya Wang, Panta Lucic, Keith Campbell, Craig Wanke:
Autoencoding Features for Aviation Machine Learning Problems. - Manoj M. K, Gautam Srivastava, Siva Rama Krishnan Somayaji, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Sweta Bhattacharya:
An Incentive Based Approach for COVID-19 using Blockchain Technology. - Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan C. Krishnan:
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks. - Siva Rama Krishnan Somayaji, Mamoun Alazab, Manoj M. K, Antonio Bucchiarone, Chiranji Lal Chowdhary, Thippa Reddy Gadekallu:
A Framework for Prediction and Storage of Battery Life in IoT Devices using DNN and Blockchain. - Jing Wang, Anna Choromanska:
SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions. - Guangyao Shi, Ishat E. Rabban, Lifeng Zhou, Pratap Tokekar:
Communication-Aware Multi-robot Coordination with Submodular Maximization. - Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel Two-Dimensional Ridge Regression for Subspace Clustering. - Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. - Tianjian Chen, Tianyi Zhang, Matei T. Ciocarlie:
Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application. - Nitish K. Panigrahy, Thirupathaiah Vasantam, Prithwish Basu, Don Towsley:
Proximity Based Load Balancing Policies on Graphs: A Simulation Study. - Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula:
Multi-armed Bandits with Cost Subsidy. - Samer Nofal, Amani Abu Jabal, Abdullah Alfarrarjeh, Ismail Omar Hababeh:
Formal Validation of Recursive Backtracking Algorithms: The Case of Listing Stable Extensions in the Directed Graphs of Argumentation Frameworks. - Tianshuang Gao, Shashwata Mandal, Sourabh Bhattacharya:
Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection. - Zhen-Chen Guo, Eric King-Wah Chu, Xin Liang, Wen-Wei Lin:
Decoupled Structure-Preserving Doubling Algorithm with Truncation for Large-Scale Algebraic Riccati Equations. - Mingdong Zhang, Li Chen, Quan Li, Xiaoru Yuan, Junhai Yong:
Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading. - Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan:
Wheat Crop Yield Prediction Using Deep LSTM Model. - Harsh Patel:
BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger. - Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. - Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang:
VEGA: Towards an End-to-End Configurable AutoML Pipeline. - Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu:
MalFox: Camouflaged Adversarial Malware Example Generation Based on C-GANs Against Black-Box Detectors. - Peiming Li, Lifeng Xie, Jianping Yao, Jie Xu, Shuguang Cui, Ping Zhang:
Asymmetric Interference Cancellation for 5G Non-Public Network with Uplink-Downlink Spectrum Sharing. - Lili Wang, Ying Lu, Chenghan Huang, Soroush Vosoughi:
Embedding Node Structural Role Identity into Hyperbolic Space. - Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu:
CharBERT: Character-aware Pre-trained Language Model. - Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami:
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning. - Shen Chen:
ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020. - Denis Tomè, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernán Badino, Fernando De la Torre:
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera. - Bas Kieft, S. Hassan HosseinNia, Niranjan Saikumar:
Time regularization as a solution to mitigate quantization induced performance degradation. - Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Higher-Order Moment-Based Anomaly Detection. - Wolfgang Bauer, Natalia Kryvinska, Jürgen Dorn:
Model of Trust Management for Digital Industry Services. Towards E-Commerce 4.0. - Yonghong Hao, Qiumei Huang, Cheng Wang:
A third order BDF energy stable linear scheme for the no-slope-selection thin film model. - Khemraj Shukla, Jesse Chan, Maarten V. de Hoop:
A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. - Atreyee Kundu:
A note on the existence of stabilizing switching signals for switched linear systems. - Wenyuan Ma, Wei Wang, Tao Jiang:
Joint Energy Harvest and Information Transfer for Energy Beamforming in Backscatter Multiuser Networks. - Netalee Efrat, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, Bat El Shlomo:
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation. - Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
TransQuest: Translation Quality Estimation with Cross-lingual Transformers. - Durgesh Singh, Arpan Chattopadhyay, Sasthi C. Ghosh:
Local Relay Selection in Presence of Dynamic Obstacles in Millimeter Wave D2D Communication. - Samurdhi Karunaratne, Enes Krijestorac, Danijela Cabric:
Penetrating RF Fingerprinting-based Authentication with a Generative Adversarial Attack. - Tao Bai, Jinqi Luo, Jun Zhao:
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks. - Murat Uzunca, Süleyman Yildiz, Bülent Karasözen:
Structure-preserving reduced order modelling of thermal shallow water equation. - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. - Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. - Marie-Therese Khoury, Andreas Orthey, Marc Toussaint:
Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts. - Kazuaki Tanaka:
Numerical verification method for positive solutions of elliptic problems. - Tomer Ezra, Michal Feldman, Nick Gravin, Zhihao Gavin Tang:
Secretary Matching with General Arrivals. - Andong Li, Chengshi Zheng, Renhua Peng, Xiaodong Li:
Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain. - Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian:
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing. - Marek Chalupa, David Klaska, Jan Strejcek, Lukás Tomovic:
Fast Computation of Strong Control Dependencies. - Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. - Tianyu Wang, Lin F. Yang:
Episodic Linear Quadratic Regulators with Low-rank Transitions. - João Silvério, Sylvain Calinon:
A Laser-based Dual-arm System for Precise Control of Collaborative Robots. - Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto, Goran Glavas:
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings. - Mohamadreza Ahmadi, Xiaobin Xiong, Aaron D. Ames:
Risk-Sensitive Path Planning via CVaR Barrier Functions: Application to Bipedal Locomotion. - Hao Liao, Qi-Xin Liu, Kai Shu, Xing Xie:
Incorporating User-Comment Graph for Fake News Detection. - Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. - Marius Beul, Sven Behnke:
Trajectory Generation with Fast Lidar-based 3D Collision Avoidance for Agile MAVs. - Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan:
Estimating decision tree learnability with polylogarithmic sample complexity. - Lily Ng, Anne Lauscher, Joel R. Tetreault, Courtney Napoles:
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment. - Petra Heck, Gerard Schouten:
Turning Software Engineers into AI Engineers. - Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas:
Transforming Gaussian Processes With Normalizing Flows. - Laura Oberländer, Kevin Reich, Roman Klinger:
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions? - Xiang Wang, Yuanjie Wang, Wenjuan Yin, Fang-Wei Fu:
Nonexistence of perfect permutation codes under the Kendall τ-metric. - N. Annamalai, C. Durairajan:
Codes from the Incidence Matrices of a zero-divisor Graphs. - René Schuster, Christian Unger, Didier Stricker:
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. - Tommaso Buvoli, Michael L. Minion:
IMEX Parareal Integrators. - Ivan Yanchin, Oleg Petrov:
An approach to measure route quality and refine the route during the voyage using characteristic coefficients. - Sabah Al-Fedaghi:
Towards Conceptual Modeling Semantics: Eventizing Tarski's Truth Schema. - Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann:
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. - Chen Wen Kang, Chua Meng Hong, Tomás Maul:
Towards a Universal Gating Network for Mixtures of Experts. - Corbèn Poot, Andreas van Cranenburgh:
A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News. - Yonghao Long, Jie Ying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou:
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. - Xiaodong Wei, Benjamin Marussig, Pablo Antolin, Annalisa Buffa:
Immersed Boundary-Conformal Isogeometric Method for Linear Elliptic Problems. - Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. - Andreas van Cranenburgh, Corina Koolen:
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments. - Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen:
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. - Rishi Ranjan Singh:
Centrality Measures: A Tool to Identify Key Actors in Social Networks. - Chems-Eddine Himeur, Thibault Lejemble, Thomas Pellegrini, Mathias Paulin, Loic Barthe, Nicolas Mellado:
PCEDNet : A Neural Network for Fast and Efficient Edge Detection in 3D Point Clouds. - Vandana Rajan, Alessio Brutti, Andrea Cavallaro:
Robust Latent Representations via Cross-Modal Translation and Alignment. - António Sá Pinto, Inês Domingues, Matthew E. P. Davies:
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation. - Yanhao Yang, Pan Shi, Yuyi Wang, Kun He:
Quadratic Optimization based Clique Expansion for Overlapping Community Detection. - Omar Zahra, David Navarro-Alarcon, Silvia Tolu:
Vision-Based Control for Robots by a Fully Spiking Neural System Relying on Cerebellar Predictive Learning. - Juan Quintero, Zinaida Benenson:
Understanding Usability and User Acceptance of Usage-Based Insurance from Users' View. - Ivona Zakarija, Frano Skopljanac-Macina, Bruno Blaskovic:
Automated simulation and verification of process models discovered by process mining. - Giorgio Camerani:
The Long, the Short and the Random. - Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa:
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. - Riccardo Aragona, Roberto Civino:
On the primitivity of Lai-Massey schemes. - Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens:
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines. - Christian Berger, Hans P. Reiser, João Sousa, Alysson Bessani:
AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine Consensus. - Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu:
Joint Entity and Relation Extraction with Set Prediction Networks. - Shifei Chen, Ali Basirat:
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation. - Vitaly Petrov, Thomas Kürner, Iwao Hosako:
IEEE 802.15.3d: First Standardization Efforts for Sub-Terahertz Band Communications towards 6G. - João M. Ceron, Christian Scholten, Aiko Pras, Elmer Lastdrager, Jair Santanna:
Characterising attacks targeting low-cost routers: a MikroTik case study (Extended). - Zdenek Kasner, Ondrej Dusek:
Data-to-Text Generation with Iterative Text Editing. - Anton Schäfer, Nils Blach, Oliver Rausch, Maximilian Warm, Nils Krüger:
Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction. - Seán Mullery, Paul F. Whelan:
A spatial hue similarity measure for assessment of colourisation. - Annette Rios, Mathias Müller, Rico Sennrich:
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation. - Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu:
Amortized Variational Deep Q Network. - Julien Balian, Raffaele Tavarone, Mathieu Poumeyrol, Alice Coucke:
Small footprint Text-Independent Speaker Verification for Embedded Systems. - Guang Lin, Jianhai Zhang, Yuxi Liu:
Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI. - Haoqian Zhang, Cristina Basescu, Bryan Ford:
Economic Principles of PoPCoin, a Democratic Time-based Cryptocurrency. - Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini:
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency. - Sage Hahn, Dekang Yuan, Wesley K. Thompson, Max M. Owens, Nicholas A. Allgaier, Hugh Garavan:
Brain Predictability toolbox: a Python library for neuroimaging based machine learning. - Giuseppe Antonio Pierro, Roberto Tonelli, Michele Marchesi:
Smart-Corpus: an Organized Repository of Ethereum Smart Contracts Source Code and Metrics. - Vincent Valton, Toby Wise, Oliver J. Robinson:
Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health. - Markus Anders, Pascal Schweitzer:
Search Problems in Trees with Symmetries: near optimal traversal strategies for individualization-refinement algorithms. - Georgina Montserrat Reséndiz-Benhumea, Ekaterina Sangati, Tom Froese:
Levels of Coupling in Dyadic Interaction: An Analysis of Neural and Behavioral Complexity. - Fredrik Johansson:
Calcium: computing in exact real and complex fields. - Gulcin Baykal, Furkan Ozcelik, Gözde B. Ünal:
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks. - Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. - Gerta Rücker:
Comment on 'Open is not forever: a study of vanished open access journals'. - Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters:
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. - Dániel Nagy, Lambert Plavecz, Ferenc Hegedüs:
Solving large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs: performance comparisons of MPGOS, ODEINT and DifferentialEquations.jl. - Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi:
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix. - Ana Fernández-Guillamón, Emilio Gómez-Lázaro, Ángel Molina-García:
Extensive frequency response and inertia analysis under high renewable energy source integration scenarios: application to the European interconnected power system. - Anubhav Shrimal, Tanmoy Chakraborty:
Attention Beam: An Image Captioning Approach. - Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. - Frederick Morlock, Dingsu Wang:
MAD-VAE: Manifold Awareness Defense Variational Autoencoder. - Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller:
Representation Matters: Improving Perception and Exploration for Robotics. - Maurice Frank, Maximilian Ilse:
Problems using deep generative models for probabilistic audio source separation. - Chen Wu, Xian Yang, Sencun Zhu, Prasenjit Mitra:
Mitigating Backdoor Attacks in Federated Learning. - Ishay Haviv:
The Complexity of Finding Fair Independent Sets in Cycles. - Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu:
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time. - Sandra Obermeier, Max Berrendorf, Peer Kröger:
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation. - Scott E. Friedman, Robert P. Goldman, Richard G. Freedman, Ugur Kuter, Christopher W. Geib, Jeffrey M. Rye:
Provenance-Based Assessment of Plans in Context. - Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. - Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Shay Sapir:
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices. - Bugra Çaskurlu, Fatih Erdem Kizilkaya, Berkehan Ozen:
Hedonic Expertise Games. - David Krieg, Mario Ullrich:
Function values are enough for L2-approximation: Part II. - Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya:
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee. - Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. - Elena Congeduti, Alexander Mey, Frans A. Oliehoek:
Loss Bounds for Approximate Influence-Based Abstraction. - Bugra Çaskurlu, Özgün Ekici, Fatih Erdem Kizilkaya:
On Singleton Congestion Games with Resilience Against Collusion. - Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos:
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback. - Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao:
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks. - Jonas Dorsch, Henning Wachsmuth:
Semi-Supervised Cleansing of Web Argument Corpora. - Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon:
Ensuring Dataset Quality for Machine Learning Certification. - Ashish Kumar, N. S. Raghava:
A novel group based cryptosystem based on electromagnetic rotor machine. - Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu:
Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. - Yanran Ding, Chuanzheng Li, Hae-Won Park:
Kinodynamic Motion Planning for Multi-Legged Robot Jumping via Mixed-Integer Convex Program. - Wenceslao Shaw-Cortez, Christos K. Verginis, Dimos V. Dimarogonas:
Safe, Passive Control for Mechanical Systems with Application to Physical Human-Robot Interactions. - Kenneth Stewart, Yanqi Gu:
One-Shot Federated Learning with Neuromorphic Processors. - Charilaos Tzovas, Maria Predari, Henning Meyerhenke:
Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters - an Experimental Study. - Wangkun Xu, Fei Teng:
A Deep Learning based Detection Method for Combined Integrity-Availability Cyber Attacks in Power System. - Dong-Ho Lee, Young-Ho Kim, Jarrod Collins, Ankur Kapoor, Dong-Soo Kwon, Tommaso Mansi:
Non-linear Hysteresis Compensation of a Tendon-sheath-driven Robotic Manipulator using Motor Current. - Pedro Morgado, Yi Li, Nuno Vasconcelos:
Learning Representations from Audio-Visual Spatial Alignment. - Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. - Yusheng Xiang, Dianzhao Li, Tianqing Su, Quan Zhou, Christine Brach, Samuel S. Mao, Marcus Geimer:
Where am I? SLAM for Mobile Machines on A Smart Working Site. - Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru:
Goal recognition via model-based and model-free techniques. - Mojtaba Bagherzadeh, Nafiseh Kahani, Lionel C. Briand:
Reinforcement Learning for Test Case Prioritization. - Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz:
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. - Qianqian Zhang, Walid Saad, Mehdi Bennis:
Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV. - Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik R. Altman:
Tabular Transformers for Modeling Multivariate Time Series. - Eden Belouadah, Adrian Popescu, Ioannis Kanellos:
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks. - Heinke Hihn, Daniel A. Braun:
Specialization in Hierarchical Learning Systems. - Denis Emelin, Ivan Titov, Rico Sennrich:
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks. - Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
Improving the Performance of the GMRES Method using Mixed-Precision Techniques. - Yichao Liu, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fast Adaptive Fault Accommodation in Floating Offshore Wind Turbines via Model-Based Fault Diagnosis and Subspace Predictive Repetitive Control. - Hannah Chen, Yangfeng Ji, David Evans:
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. - Gian Paolo Leonardi, Matteo Spallanzani:
Analytical aspects of non-differentiable neural networks. - Gavin McCracken, Colin Daniels, Rosie Zhao, Anna M. Brandenberger, Prakash Panangaden, Doina Precup:
A Study of Policy Gradient on a Class of Exactly Solvable Models. - Andreas Weise, Rivka Levitan:
Decoupling entrainment from consistency using deep neural networks. - Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan:
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. - Enrique Sanchez, Adrian Bulat, Anestis Zaganidis, Georgios Tzimiropoulos:
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning. - Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI. - Xiang Li:
FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS. - Ruyi Zhou, Wenhao Feng, Huaiguang Yang, Haibo Gao, Nan Li, Zongquan Deng, Liang Ding:
Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues. - Hassan Elhabbak, Benoît Descamps, Elisabeth Fischer, Sakis Athanasiadis:
Contextualisation of eCommerce Users. - Nikos Pitsillos, Ameya Pore, Bjørn Sand Jensen, Gerardo Aragon-Camarasa:
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations. - Kiran Sharma, Parul Khurana:
Growth and dynamics of Econophysics: A bibliometric and network analysis. - Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic:
Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning. - Kshitij Nikhal, Benjamin S. Riggan:
Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification. - Rafael Berral-Soler, Francisco José Madrid-Cuevas, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez:
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild. - Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu:
Policy Transfer via Kinematic Domain Randomization and Adaptation. - Emmanuel Sin, Murat Arcak, Douglas Philbrick, Peter J. Seiler:
Iterative Best Response for Multi-Body Asset-Guarding Games. - (Withdrawn) A Multi-aspect Analysis of Gender Bias on Online Student Evaluations.
- Claire Hanen, Zdenek Hanzálek:
Periodic Scheduling and Packing Problems. - Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov:
Learning Barrier Functions with Memory for Robust Safe Navigation. - Mahdi Namazifar, Gökhan Tür, Dilek Hakkani-Tür:
Warped Language Models for Noise Robust Language Understanding. - Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs:
Learning Visual Representations for Transfer Learning by Suppressing Texture. - Ezgi Özyilkan, Mikolaj Jankowski:
Deep Joint Transmission-Recognition for Multi-View Cameras. - Marcos Monteiro, Alceu S. Britto Jr., Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin:
Classifier Pool Generation based on a Two-level Diversity Approach. - Tanvi Dadu, Kartikey Pant:
Towards Code-switched Classification Exploiting Constituent Language Resources. - Rianna M. Jitosho, Nathaniel Agharese, Allison M. Okamura, Zac Manchester:
A Dynamics Simulator for Soft Growing Robots. - Aaron Kandel, Mohamed Wahba, Hosam K. Fathy:
Fisher Identifiability Analysis of Longitudinal Vehicle Dynamics: Theory and Experiments. - Nelly Villamizar, Angelos Mantzaflaris, Bert Jüttler:
Completeness characterization of Type-I box splines. - Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das:
Optimizing Molecules using Efficient Queries from Property Evaluations. - Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus, Deniz Gündüz:
Gradient Coding with Dynamic Clustering for Straggler Mitigation. - Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault:
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model. - Shichong Peng, Ke Li:
Generating Unobserved Alternatives. - Ayush Jain, Andrew Szot, Joseph J. Lim:
Generalization to New Actions in Reinforcement Learning. - John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani:
The Complexity of Gradient Descent: CLS = PPAD ∩ PLS. - Haihan Lin, Ryan A. Metcalf, Jack Wilburn, Alexander Lex:
Sanguine: Visual Analysis for Patient Blood Management. - Chihiro Noguchi, Tatsuro Kawamoto:
Palette diagram: A Python package for visualization of collective categorical data. - Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang:
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms. - Alexander Wong, Andrew Hryniowski, Xiao Yu Wang:
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning. - Jinhyun So, Basak Guler, Amir Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. - Jan Overgoor, Bogdan State, Lada A. Adamic:
The dynamics of U.S. college network formation on Facebook. - Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song:
Learning 3D Dynamic Scene Representations for Robot Manipulation. - Jihyun Jeong, Guy Hoffman:
Face-work for Human-Agent Joint Decision-Making. - Neharika Jali, Nikhil Karamchandani, Sharayu Moharir:
Greedy k-Center from Noisy Distance Samples. - Yara Ali Alnaggar, Mohamed Afifi, Karim Amer, Mohamed ElHelw:
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds. - Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su:
Rearrangement: A Challenge for Embodied AI. - Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn:
Mixing Consistent Deep Clustering. - Arash Einolghozati, Anchit Gupta, Keith Diedrick, Sonal Gupta:
Sound Natural: Content Rephrasing in Dialog Systems. - Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado:
Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. - Christian Lenz, Max Schwarz, Andre Rochow, Jan Razlaw, Arul Selvam Periyasamy, Michael Schreiber, Sven Behnke:
Autonomous Wall Building with a UGV-UAV Team at MBZIRC 2020. - Tony C. Wu, Daniel Flam-Shepherd, Alán Aspuru-Guzik:
Bayesian Variational Optimization for Combinatorial Spaces. - Hoang Tran, Guannan Zhang:
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient. - Yossi Azar, Runtian Ren, Danny Vainstein:
The Min-Cost Matching with Concave Delays Problem. - Maya Aghaei, Matteo Bustreo, Yiming Wang, Gian Luca Bailo, Pietro Morerio, Alessio Del Bue:
Single Image Human Proxemics Estimation for Visual Social Distancing. - João M. Ceron, Justyna J. Chromik, Jair Santanna, Aiko Pras:
Online Discoverability and Vulnerabilities of ICS/SCADA Devices in the Netherlands. - Mingxuan He, T. N. Vijaykumar, Mithuna Thottethodi:
Booster: An Accelerator for Gradient Boosting Decision Trees. - Ron Levie, Haim Avron, Gitta Kutyniok:
Quasi Monte Carlo Time-Frequency Analysis. - Héctor Cancela, Gustavo Guerberoff, Franco Robledo, Pablo Romero:
Analysis and Reliability of Separable Systems. - Qixiang Fang, Joep Burger, Ralph Meijers, Kees van Berkel:
The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response. - Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King:
(Un)fairness in Post-operative Complication Prediction Models. - Shmuel Y. Hayoun, Elchanan Zwecher, Eran Iceland, Ahavatya Revivo, Sean R. Levy, Ariel Barel:
Integrating Deep-Learning-Based Image Completion and Motion Planning to Expedite Indoor Mapping. - Sushma Venkatesh, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Face Morphing Attack Generation & Detection: A Comprehensive Survey. - Shahin Kamali, Helen Xu:
Beyond Worst-case Analysis of Multicore Caching Strategies. - Yi Chen, Lei Zhang, Tanner Merry, Sunny Amatya, Wenlong Zhang, Yi Ren:
When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions. - Xutai Ma, Juan Miguel Pino, Philipp Koehn:
SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation. - Ke Tran, Ming Tan:
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations. - Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks. - Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar:
Online Observer-Based Inverse Reinforcement Learning. - Zhichao Liu, Konstantinos Karydis:
Toward Impact-resilient Quadrotor Design, Collision Characterization and Recovery Control to Sustain Flight after Collisions. - Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao:
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. - Manuela Sanguinetti, Lauren Cassidy, Cristina Bosco, Özlem Çetinoglu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes:
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations. - Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah:
University of Washington at TREC 2020 Fairness Ranking Track. - Amir Zeldes, Lance Martin, Sichang Tu:
Exhaustive Entity Recognition for Coptic: Challenges and Solutions. - Taraka Rama, Lisa Beinborn, Steffen Eger:
Probing Multilingual BERT for Genetic and Typological Signals. - Xubo Lyu, Site Li, Seth Siriya, Ye Pu, Mo Chen:
MBB: Model-Based Baseline for Efficient Reinforcement Learning. - Zongchen Chen, Kuikui Liu, Eric Vigoda:
Optimal Mixing of Glauber Dynamics: Entropy Factorization via High-Dimensional Expansion. - Marcus Hörger, Hanna Kurniawati:
An On-Line POMDP Solver for Continuous Observation Spaces. - Corinna Hertweck, Christoph Heitz, Michele Loi:
On the Moral Justification of Statistical Parity. - Somil Bansal, Claire J. Tomlin:
DeepReach: A Deep Learning Approach to High-Dimensional Reachability. - Michael Lui, Yavuz Yetim, Özgür Özkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead:
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference. - Alexios Voulimeneas, Dokyung Song, Per Larsen, Michael Franz, Stijn Volckaert:
dMVX: Secure and Efficient Multi-Variant Execution in a Distributed Setting. - Sander Tonkens, Joseph Lorenzetti, Marco Pavone:
Soft Robot Optimal Control Via Reduced Order Finite Element Models. - Hongfei Wang, Michiki Kurosawa, Satoru Katsumata, Mamoru Komachi:
Chinese Grammatical Correction Using BERT-based Pre-trained Model. - Ting Jiang, Yizheng Chen, Yang Zhang, Minhao Zhang, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou:
A Survey on Contact Tracing: the Latest Advancements and Challenges. - Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework. - Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu:
Deoscillated Graph Collaborative Filtering. - Yong-Liang Zhao, Meng Li, Alexander Ostermann, Xian-Ming Gu:
An efficient second-order energy stable BDF scheme for the space fractional Cahn-Hilliard equation. - Ying Shi, Haolin Chen, Zhiyuan Tang, Lantian Li, Dong Wang, Jiqing Han:
Can We Trust Deep Speech Prior? - Zonghe Chua, Anthony M. Jarc, Allison M. Okamura:
Toward Force Estimation in Robot-Assisted Surgery using Deep Learning with Vision and Robot State. - Xun Yuan, Ke Hu, Song Chen:
Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates. - Li Tian, Liyan Ma, Zhijie Wen, Shaorong Xie, Yupeng Xu:
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading. - Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui:
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. - Rahul Chakwate, Madhan R. A:
Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction. - Sashi Novitasari, Andros Tjandra, Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura:
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time. - Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition. - Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis. - Yihui Fu, Jian Wu, Yanxin Hu, Mengtao Xing, Lei Xie:
DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation, Enhancement and Separation. - Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Planning to Chronicle. - FahimeSadat Mirhosseini, Aliakbar Tadaion, Seyed Mohammad Razavizadeh:
Spectral Efficiency of Dense Multicell Massive MIMO Networks in Spatially Correlated Channels. - João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Control with adaptive Q-learning. - Chris Culnane, Benjamin I. P. Rubinstein, David Watts:
Not fit for Purpose: A critical analysis of the 'Five Safes'. - Stéphane d'Ascoli, Alice Coucke, Francesco Caltagirone, Alexandre Caulier, Marc Lelarge:
Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems. - He Zhang, Jianming Zhang, Federico Perazzi, Zhe Lin, Vishal M. Patel:
Deep Image Compositing. - Chuan Wang, Kwan-Liu Ma:
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning. - Wei Yuan, Kai-Xin Gao:
EAdam Optimizer: How ε Impact Adam. - Kwadwo Opong-Mensah:
Simulation of Human and Artificial Emotion (SHArE). - Jia Yan, Suzhi Bi, Lingjie Duan, Ying-Jun Angela Zhang:
Pricing-Driven Service Caching and Task Offloading in Mobile Edge Computing. - Hengli Wang, Rui Fan, Ming Liu:
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation. - Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein:
Reverse engineering learned optimizers reveals known and novel mechanisms. - Chenpeng Du, Hao Li, Yizhou Lu, Lan Wang, Yanmin Qian:
Data Augmentation for End-to-end Code-switching Speech Recognition. - Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Learned Decimation for Neural Belief Propagation Decoders. - Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini:
An Improved Attention for Visual Question Answering. - Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. - Sébastien Andreina, Giorgia Azzurra Marson, Helen Möllering, Ghassan Karame:
BaFFLe: Backdoor detection via Feedback-based Federated Learning. - Naoki Kato, Hiroto Honda, Yusuke Uchida:
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video. - Riku Kawamura, Tatsuya Aoki, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura:
Neural text normalization leveraging similarities of strings and sounds. - Hervé Hocquard, Dimitri Lajou, Borut Luzar:
Between proper and strong edge-colorings of subcubic graphs. - Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman:
Diversity Aware Relevance Learning for Argument Search. - Nafiseh Ghoroghchian, David M. Groppe, Roman Genov, Taufik A. Valiante, Stark C. Draper:
Node-Centric Graph Learning from Data for Brain State Identification. - Ana Batinovic, Tamara Petrovic, Antun Ivanovic, Frano Petric, Stjepan Bogdan:
A Multi-Resolution Frontier-Based Planner for Autonomous 3D Exploration. - Filip Palka, Wojciech Ksiazek, Pawel Plawiak, Michal Romaszewski, Kamil Ksiazek:
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios. - Zacharias Georgiou, Chryssis Georgiou, George Pallis, Elad Michael Schiller, Demetris Trihinas:
A Self-stabilizing Control Plane for the Edge and Fog Ecosystems. - Shantam Shorewala, Armaan Ashfaque, Sidharth R, Ujjwal Verma:
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning. - Prosenjit Bose, Pilar Cano, Rodrigo I. Silveira:
Affine invariant triangulations. - Yihui Fu, Zhuoyuan Yao, Weipeng He, Jian Wu, Xiong Wang, Zhanheng Yang, Shimin Zhang, Lei Xie, Dongyan Huang, Hui Bu, Petr Motlícek, Jean-Marc Odobez:
IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines. - Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu:
Latent Causal Invariant Model. - Haruka Aoki, Koki Tsubota, Hikaru Ikuta, Kiyoharu Aizawa:
Few-Shot Font Generation with Deep Metric Learning. - Dongha Choi, Hyunju Lee:
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training. - Yuki Inoue, Hiroto Nagayoshi:
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors. - Biel Tura Vecino, Martí Cobos, Philippe Salembier:
Low cost enhanced security face recognition with stereo cameras. - Kieran Greer:
New Ideas for Brain Modelling 7. - Jiaqi Chen, Shlomi Dolev, Shay Kutten:
Reactive Proof Labeling Schemes for Distributed Decision. - Felix Järemo Lawin, Per-Erik Forssén:
Registration Loss Learning for Deep Probabilistic Point Set Registration. - Marc Ohm, Lukas Kempf, Felix Boes, Michael Meier:
If You've Seen One, You've Seen Them All: Leveraging AST Clustering Using MCL to Mimic Expertise to Detect Software Supply Chain Attacks. - Ming-Min Zhao, An Liu, Yubo Wan, Rui Zhang:
Two-timescale Beamforming Optimization for Intelligent Reflecting Surface Aided Multiuser Communication with QoS Constraints. - Benjamin Hadwiger, Christian Riess:
The Forchheim Image Database for Camera Identification in the Wild. - Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng:
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. - Carlos Miranda, Yacine Kessaci:
Hybrid Supervised Reinforced Model for Dialogue Systems. - Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. - Nuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi:
Video Generative Adversarial Networks: A Review. - Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. - Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. - Christian Bartz, Hendrik Rätz, Christoph Meinel:
Handwriting Classification for the Analysis of Art-Historical Documents. - Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu:
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation. - Ali Araabi, Christof Monz:
Optimizing Transformer for Low-Resource Neural Machine Translation. - Richa Singh, Mayank Vatsa, Nalini K. Ratha:
Trustworthy AI. - Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement. - Subasish Das:
Ridesharing Services and Car-Seats: Technological Perceptions and Usage Patterns. - Daniel Estrada:
Ideal theory in AI ethics. - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Physics-Informed Echo State Networks. - McKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang:
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness. - Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Beat Peter Müller-Stich, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel:
Surgical Data Science - from Concepts to Clinical Translation. - Panagiotis Paraskevas Filntisis, Athanasia Zlatintsi, Niki Efthymiou, Emmanouil Kalisperakis, Thomas Karantinos, Marina Lazaridi, Nikolaos Smyrnis, Petros Maragos:
Identifying differences in physical activity and autonomic function patterns between psychotic patients and controls over a long period of continuous monitoring using wearable sensors. - Enzo Rucci, Lisandro Delia, Joaquín Pujol, Paula Erbino, Armando De Giusti, Juan José Gagliardino:
Diabetes Link: Platform for Self-Control and Monitoring People with Diabetes. - Hua Zheng, Ilya O. Ryzhov, Wei Xie, Judy Zhong:
Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records. - Thibault Lechien, Jorik Jooken, Patrick De Causmaecker:
Evolving test instances of the Hamiltonian completion problem. - Rui-Song Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan:
Pixel-wise Dense Detector for Image Inpainting. - Mehdi Tatari, Majed Hamadi:
Exponential of tridiagonal Toeplitz matrices: applications and generalization. - Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy:
Opportunities and Challenges in Code Search Tools. - Yuqi Gong, Xuehui Yu, Yao Ding, Xiaoke Peng, Jian Zhao, Zhenjun Han:
Effective Fusion Factor in FPN for Tiny Object Detection. - Robert Milijas, Lovro Markovic, Antun Ivanovic, Frano Petric, Stjepan Bogdan:
A Comprehensive LiDAR-based SLAM Comparison for Control of Unmanned Aerial Vehicles. - Kaicong Sun, Sven Simon:
FDRN: A Fast Deformable Registration Network for Medical Images. - Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behavioural-based Anomaly Detection Systems - A Brief Survey of Concepts and Approaches. - Stefan Ruehrup, Stephan Krenn:
Towards Privacy in Geographic Message Dissemination for Connected Vehicles. - Suthee Ruangwises, Toshiya Itoh:
Physical Zero-Knowledge Proof for Connected Spanning Subgraph Problem and Bridges Puzzle. - Kun Zhou, Berrak Sisman, Haizhou Li:
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech. - (Withdrawn) PCP Theorems, SETH and More: Towards Proving Sub-linear Time Inapproximability.
- Kushal Jain, Adwait P. Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash:
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages. - Till Fluschnik:
A Multistage View on 2-Satisfiability. - Huaizheng Zhang, Yizheng Huang, Yonggang Wen, Jianxiong Yin, Kyle Guan:
No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System. - Shlomo E. Chazan, Lior Wolf, Eliya Nachmani, Yossi Adi:
Single channel voice separation for unknown number of speakers under reverberant and noisy settings. - Khouloud Hwerbi:
An ontology-based chatbot for crises management: use case coronavirus. - Charles-Edouard Bréhier, Shmuel Rakotonirina-Ricquebourg:
On Asymptotic Preserving schemes for a class of Stochastic Differential Equations in averaging and diffusion approximation regimes. - Moad Abudia, Michael Harlan, Ryan Self, Rushikesh Kamalapurkar:
Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. - Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia:
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning). - Weidong Mei, Rui Zhang:
Cooperative Multi-Beam Routing for Multi-IRS Aided Massive MIMO. - Qi Kuang, Xin Jin, Qinping Zhao, Bin Zhou:
Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment. - Md. Aktaruzzaman Pramanik, Md. Mahbubur Rahman, A. S. M. Iftekhar Anam, Amin Ahsan Ali, M. Ashraful Amin, A K M Mahbubur Rahman:
Modeling Traffic Congestion in Developing Countries using Google Maps Data. - Zakaria Belhachmi, Thomas Jacumin:
Choosing The Best Interpolation Data in Images with Noise. - Savyasachi Gupta, Rudraksh Kapil, Goutham Kanahasabai, Shreyas Srinivas Joshi, Aniruddha Srinivas Joshi:
SD-Measure: A Social Distancing Detector. - Hyowoon Seo, Jihong Park, Seungeun Oh, Mehdi Bennis, Seong-Lyun Kim:
Federated Knowledge Distillation. - Nilanjan Goswami, Amer Qouneh, Chao Li, Tao Li:
An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels. - Aniruddha Srinivas Joshi, Shreyas Srinivas Joshi, Goutham Kanahasabai, Rudraksh Kapil, Savyasachi Gupta:
Deep Learning Framework to Detect Face Masks from Video Footage. - Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu:
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. - Giorgio Ausiello, Paolo Giulio Franciosa, Isabella Lari, Andrea Ribichini:
Max-flow vitality in undirected unweighted planar graphs. - Minghuan Tan, Jing Jiang:
A BERT-based Dual Embedding Model for Chinese Idiom Prediction. - Mathieu Even, Hadrien Hendrikx, Laurent Massoulié:
Asynchrony and Acceleration in Gossip Algorithms. - Kakeru Mitsuno, Takio Kurita:
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks. - Kakeru Mitsuno, Yuichiro Nomura, Takio Kurita:
Channel Planting for Deep Neural Networks using Knowledge Distillation. - Tiago de Freitas Pereira, Sébastien Marcel:
Fairness in Biometrics: a figure of merit to assess biometric verification systems. - Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying:
Stochastic Hard Thresholding Algorithms for AUC Maximization. - Kevin Zhang, Mohit Sharma, Jacky Liang, Oliver Kroemer:
A Modular Robotic Arm Control Stack for Research: Franka-Interface and FrankaPy. - Youssef Mroueh, Truyen Nguyen:
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. - Xiaosong Jia, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data. - Zhaoming Xie, Xingye Da, Michiel van de Panne, Buck Babich, Animesh Garg:
Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion. - Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer:
Debiasing classifiers: is reality at variance with expectation? - Bryan Ford:
Identity and Personhood in Digital Democracy: Evaluating Inclusion, Equality, Security, and Privacy in Pseudonym Parties and Other Proofs of Personhood. - Chih-Duo Hong, Anthony W. Lin, Rupak Majumdar, Philipp Rümmer:
Probabilistic Bisimulation for Parameterized Systems (Technical Report). - AnneMarie Borg, Floris Bex:
Necessary and Sufficient Explanations in Abstract Argumentation. - Maysum Panju, Ali Ghodsi:
A Neuro-Symbolic Method for Solving Differential and Functional Equations. - Tristan Thrush, Ethan Wilcox, Roger Levy:
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization. - David Kouril, Ondrej Strnad, Peter Mindek, Sarkis Halladjian, Tobias Isenberg, M. Eduard Gröller, Ivan Viola:
Molecumentary: Scalable Narrated Documentaries Using Molecular Visualization. - Jiawei Shao, Haowei Zhang, Yuyi Mao, Jun Zhang:
Branchy-GNN: a Device-Edge Co-Inference Framework for Efficient Point Cloud Processing. - Arvind Srinivasan, Aprameya Bharadwaj, Aveek Saha, Natarajan Subramanyam:
Graph Based Temporal Aggregation for Video Retrieval. - Andrzej Lingas:
Consequences of APSP, triangle detection, and 3SUM hardness for separation between determinism and non-determinism. - Patrizio Angelini, Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati, Maurizio Patrignani:
2-Level Quasi-Planarity or How Caterpillars Climb (SPQR-)Trees. - Ramesh Ragala, Bharadwaja Kumar:
Rank Based Pseudoinverse Computation in Extreme Learning Machine for Large Datasets. - Remy Derollez, Simon Le Cleac'h, Zachary Manchester:
Robust Entry Vehicle Guidance with Sampling-Based Invariant Funnels. - Mohammad Izadikhah:
Modeling bank performance: A novel fuzzy two-stage DEA approach. - Pelin Çiloglu, Hamdullah Yücel:
Stochastic Discontinuous Galerkin Methods with Low-Rank Solvers for Convection Diffusion Equations. - Siad Daboul, Stephan Held, Jens Vygen:
Approximating the discrete time-cost tradeoff problem with bounded depth. - Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, Dacheng Tao, Xuelong Li, Huiyu Zhou:
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model. - Butler W. Lampson:
Hints and Principles for Computer System Design. - Jialiang Zhao, Daniel Troniak, Oliver Kroemer:
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps. - Josh Alman, Timothy Chu, Aaron Schild, Zhao Song:
Algorithms and Hardness for Linear Algebra on Geometric Graphs. - João Eduardo Montandon, Cristiano Politowski, Luciana Lourdes Silva, Marco Túlio Valente, Fábio Petrillo, Yann-Gaël Guéhéneuc:
What Skills do IT Companies look for in New Developers? A Study with Stack Overflow Jobs. - Young-Woo Sim, Joao Ramos:
The dynamic effect of mechanical losses of actuators on the equations of motion of legged robots. - Sunyu Wang, Kevin Murphy, Dillan Kenney, Joao Ramos:
A Comparison Between Joint Space and Task Space Mappings for Dynamic Teleoperation of an Anthropomorphic Robotic Arm in Reaction Tests. - Julia Kreutzer, Stefan Riezler, Carolin Lawrence:
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. - Wang Zhou, Levente J. Klein:
Monitoring the Impact of Wildfires on Tree Species with Deep Learning. - Diganta Bhattacharjee, Kamesh Subbarao:
Extremum Seeking Control with Attenuated Steady-State Oscillations. - Chulin Wang, Eloisa Bentivegna, Wang Zhou, Levente J. Klein, Bruce Elmegreen:
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models. - Ali Jadbabaie, Anuran Makur, Devavrat Shah:
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. - Mike Roberts, Nathan Paczan:
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. - Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection. - Stefan A. Funken, Anja Schmidt:
Local Coarsening Algorithms on Adaptively Refined Meshes in 2D and Their Efficient Implementation in MATLAB. - Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu:
Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate. - Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar:
MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. - Stepan Komkov, Maksim Dzabraev, Aleksandr Petiushko:
Mutual Modality Learning for Video Action Classification. - Kshitij Kulkarni, Sven Neth:
Social Choice with Changing Preferences: Representation Theorems and Long-Run Policies. - Alejandro Moreo, Fabrizio Sebastiani:
Re-Assessing the "Classify and Count" Quantification Method. - Yuanxin Zhong, Minghan Zhu, Huei Peng:
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss. - Manuel Osvaldo Jesus Olguin Muñoz, Roberta L. Klatzky, Junjue Wang, Padmanabhan Pillai, Mahadev Satyanarayanan, James Gross:
Impact of delayed response on Wearable Cognitive Assistance. - Saeed Kargar, Heiner Litz, Faisal Nawab:
Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage. - Robert J. Moss, Ritchie Lee, Nicholas Visser, Joachim Hochwarth, James G. Lopez, Mykel J. Kochenderfer:
Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems. - Song Fang, Quanyan Zhu:
Independent Gaussian Distributions Minimize the Kullback-Leibler (KL) Divergence from Independent Gaussian Distributions. - Yichao Liu, Joeri Frederik, Riccardo M. G. Ferrari, Ping Wu, Sunwei Li, Jan-Willem van Wingerden:
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control. - Anand Kamat, Doina Precup:
Diversity-Enriched Option-Critic. - Benjamin A. Spiegel, Vincent Cheong, James E. Kaplan, Anthony Sanchez:
MK-SQuIT: Synthesizing Questions using Iterative Template-filling. - Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh, László A. Jeni, Maneesh Singh:
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces. - Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang, Qiang Wu:
Multi-layer Feature Aggregation for Deep Scene Parsing Models. - Suman Ojha, Jonathan Vitale, Mary-Anne Williams:
EEGS: A Transparent Model of Emotions. - Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena:
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning. - Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister:
Learning and Evaluating Representations for Deep One-class Classification. - Kunjal Panchal:
Improved Algorithm for Seamlessly Creating Infinite Loops from a Video Clip, while Preserving Variety in Textures. - Rediet Abebe, T.-H. Hubert Chan, Jon M. Kleinberg, Zhibin Liang, David C. Parkes, Mauro Sozio, Charalampos E. Tsourakakis:
Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search. - Golam Kayas, Jamie Payton, Md. Mahmud Hossain, S. M. Riazul Islam:
VSDM: A Virtual Service Device Management Scheme for UPnP-Based IoT Networks. - Golam Kayas, Md. Mahmud Hossain, Jamie Payton, S. M. Riazul Islam:
An Overview of UPnP-based IoT Security: Threats, Vulnerabilities, and Prospective Solutions. - Ehsan Sadrfaridpour, Korey Palmer, Ilya Safro:
AML-SVM: Adaptive Multilevel Learning with Support Vector Machines. - Chunting Zhou, Jiatao Gu, Mona T. Diab, Paco Guzman, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. - Yueming Yin, Zhen Yang, Haifeng Hu, Xiaofu Wu:
Universal Multi-Source Domain Adaptation. - Naoya Otani, Yosuke Otsubo, Tetsuya Koike, Masashi Sugiyama:
Binary classification with ambiguous training data. - Kenneth Duru, Frederick Fung, Christopher Williams:
Upwind Summation By Parts Finite Difference Methods for Large Scale Elastic Wave Simulations In Complex Geometries. - Valentin Buchhold, Peter Sanders, Dorothea Wagner:
Fast, Exact and Scalable Dynamic Ridesharing. - Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang:
Merchant Category Identification Using Credit Card Transactions. - Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa:
Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding. - V. N. S. Rama Krishna Pinnimty, Matt Zhao, Palakorn Achananuparp, Ee-Peng Lim:
Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN. - Muhammad Rizwan Asghar, Steven D. Galbraith, Andrea Lanzi, Giovanni Russello, Lukas Zobernig:
Towards a Theory of Special-purpose Program Obfuscation. - Huy Ha, Jingxi Xu, Shuran Song:
Learning a Decentralized Multi-arm Motion Planner. - Dinh Hoa Nguyen:
Cooperative Learning for P2P Energy Trading via Inverse Optimization and Interval Analysis. - Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie:
Improving Event Duration Prediction via Time-aware Pre-training. - Tanmay Gangwani, Jian Peng, Yuan Zhou:
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. - Claire Mathieu, Rajmohan Rajaraman, Neal E. Young, Arman Yousefi:
Competitive Data-Structure Dynamization. - Qiong Wu, Hongmei Ge, Pingyi Fan, Jiangzhou Wang, Qiang Fan, Zhengquan Li:
Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance. - Gen Xu, Huda Ibeid, Xin Jiang, Vjekoslav Svilan, Zhaojuan Bian:
Simulation-Based Performance Prediction of HPC Applications: A Case Study of HPL. - Wenying Wen, Rongxin Tu, Yushu Zhang, Yuming Fang, Yong Yang:
A multi-level approach with visual information for encrypted H.265/HEVC videos. - R. Peschke, K. Nishimura, G. Varner:
ARGG-HDL: A High Level Python Based Object-Oriented HDL Framework. - Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He:
Lets Play Music: Audio-driven Performance Video Generation. - Jinglun Feng, Liang Yang, Ejup Hoxha, Stanislav Sotnikov, Diar Sanakov, Jizhong Xiao:
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet. - Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu:
Disentangling Latent Space for Unsupervised Semantic Face Editing. - Zhiyang Wang, Mark Eisen, Alejandro Ribeiro:
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks. - Krishan M. Nagpal:
Estimation of Linear Dynamical Systems with Constraints in Noisy Conditions. - Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kin K. Leung:
On the Analysis of Spatially Constrained Power of Two Choice Policies. - Andrew J. Christlieb, William Sands, Hyoseon Yang:
Superconvergent Non-Polynomial Approximations. - Haidong Zhu, Arka Sadhu, Zhaoheng Zheng, Ram Nevatia:
Utilizing Every Image Object for Semi-supervised Phrase Grounding. - Akash Sharma, Wei Dong, Michael Kaess:
Compositional Scalable Object SLAM. - Robert B. Ramirez, Tomohiko Yano, Masaki Shimaoka, Kenichi Magata:
Knowledge-Base Practicality for Cybersecurity Research Ethics Evaluation. - Zhepei Wang, Hongkai Ye, Chao Xu, Fei Gao:
Generating Large-Scale Trajectories Efficiently using Double Descriptions of Polynomials. - Siwei Wang, Longbo Huang, John C. S. Lui:
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. - Tony Gracious, Ambedkar Dukkipati:
Adversarial Context Aware Network Embeddings for Textual Networks. - SeulGi Hong, Heonjin Ha, Junmo Kim, Min-Kook Choi:
Deep Active Learning with Augmentation-based Consistency Estimation. - Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan:
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. - Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu:
HILONet: Hierarchical Imitation Learning from Non-Aligned Observations. - Bingyu Gao, Haoyu Wang, Pengcheng Xia, Siwei Wu, Yajin Zhou, Xiapu Luo, Gareth Tyson:
Tracking Counterfeit Cryptocurrency End-to-end. - Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He:
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection. - Camilo Pestana, Wei Liu, David G. Glance, Ajmal Mian:
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty. - Eunjung Han, Chul Lee, Andreas Stolcke:
BW-EDA-EEND: Streaming End-to-End Neural Speaker Diarization for a Variable Number of Speakers. - Emily Sheng, David C. Uthus:
Investigating Societal Biases in a Poetry Composition System. - Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh:
Context-Aware Answer Extraction in Question Answering. - Jan A. Botha, Zifei Shan, Daniel Gillick:
Entity Linking in 100 Languages. - Zhilin Lu, Jintao Wang, Jian Song:
Binary Neural Network Aided CSI Feedback in Massive MIMO System. - Aftab Alam, Shah Khalid, Muhammad Numan Khan, Tariq Habib Afridi, Irfan Ullah, Young-Koo Lee:
Video Big Data Analytics in the Cloud: Research Issues and Challenges. - Aurick Zhou, Sergey Levine:
Amortized Conditional Normalized Maximum Likelihood. - Hao Li, Xiaopeng Zhang, Ruoyu Sun, Hongkai Xiong, Qi Tian:
Center-wise Local Image Mixture For Contrastive Representation Learning. - Verónica Quintuna Rodriguez, Romuald Corbel, Fabrice Guillemin, Alexandre Ferrieux:
Cloud-RAN Factory: Instantiating virtualized mobile networks with ONAP. - Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir:
A Black-Box Attack Model for Visually-Aware Recommender Systems. - Qianglong Chen, Feng Ji, Haiqing Chen, Yin Zhang:
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources. - Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier:
Sampled Nonlocal Gradients for Stronger Adversarial Attacks. - Zhenxing Zhang, Lambert Schomaker:
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation. - Sabera Talukder, Guruprasad Raghavan, Yisong Yue:
Architecture Agnostic Neural Networks. - S. Amirhossein Mousavi, Donya Azizi Babani, Francesco Flammini:
Obstacles in Fully Automatic Program Repair: A survey. - Kévin Riou, Jingwen Zhu, Suiyi Ling, Mathis Piquet, Vincent Truffault, Patrick Le Callet:
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà:
An Orbital Construction of Optimum Distance Flag Codes. - Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
An analysis of the transfer learning of convolutional neural networks for artistic images. - Lukas Hindemith, Anna-Lisa Vollmer, Jan Philip Göpfert, Christiane B. Wiebel-Herboth, Britta Wrede:
Why robots should be technical: Correcting mental models through technical architecture concepts. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez:
Coherent Flag Codes. - Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger:
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. - Jan Østergaard, Uri Erez, Ram Zamir:
Incremental Refinements and Multiple Descriptions with Feedback. - Busra Tegin, Eduin E. Hernandez, Stefano Rini, Tolga M. Duman:
Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication. - Uri Erez, Jan Østergaard, Ram Zamir:
An Orthogonality Principle for Select-Maximum Estimation of Exponential Variables. - Hung Tran, Vuong Le, Truyen Tran:
Goal-driven Long-Term Trajectory Prediction. - Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
Instance Based Approximations to Profile Maximum Likelihood. - Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi:
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction. - Abhishek Gupta:
The Gray Rhino of Pandemic Preparedness: Proactive digital, data, and organizational infrastructure to help humanity build resilience in the face of pandemics. - Yue Shi, Bo Jiang, Zhengping Che, Jian Tang:
Fast Object Detection with Latticed Multi-Scale Feature Fusion. - Nils Rottmann, Nico Studt, Floris Ernst, Elmar Rueckert:
ROS-Mobile: An Android application for the Robot Operating System. - Dingyi Zhang, Yingming Li, Zhongfei Zhang:
Deep Metric Learning with Spherical Embedding. - Abhishek Gupta, Alexandrine Royer, Victoria Heath, Connor Wright, Camylle Lanteigne, Allison Cohen, Marianna Bergamaschi Ganapini, Muriam Fancy, Erick Galinkin, Ryan Khurana, Mo Akif, Renjie Butalid, Falaah Arif Khan, Masa Sweidan, Audrey Balogh:
The State of AI Ethics Report (October 2020). - Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga:
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis. - Marco De Stefano, Stefano Grivet-Talocia, Torben Wendt, Cheng Yang, Christian Schuster:
A Multi-Stage Adaptive Sampling Scheme for Passivity Characterization of Large-Scale Macromodels. - Nikola Rozic, Paolo Banelli, Dinko Begusic, Josko Radic:
GMM-based Symbol Error Rate Prediction for Multicarrier Systems with Impulsive Noise Suppression. - Marcell Missura, Maren Bennewitz, Sven Behnke:
Capture Steps: Robust Walking for Humanoid Robots. - Thomas F. Tiotto, Anouk S. Goossens, Jelmer P. Borst, Tamalika Banerjee, Niels A. Taatgen:
Learning to Approximate Functions Using Nb-doped SrTiO3 Memristors. - Zhihua Tian, Rui Zhang, Xiaoyang Hou, Jian Liu, Kui Ren:
FederBoost: Private Federated Learning for GBDT. - Christoph F. Strnadl:
End-to-end-Architekturen zur Datenmonetarisierung im IIoT. Konzepte und Implementierungen. - Ting Chen, Lala Li:
Intriguing Properties of Contrastive Losses. - Jorge Ramírez, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah:
Challenges and strategies for running controlled crowdsourcing experiments. - Charul Rajput, Maheshanand Bhaintwal, Ramakrishna Bandi:
On cyclic LRC codes that are also LCD codes. - Jordi Bonada, Merlijn Blaauw:
Semi-supervised Learning for Singing Synthesis Timbre. - Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras, Stratis Skoulakis:
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent. - Julian Viereck, Ludovic Righetti:
Learning a Centroidal Motion Planner for Legged Locomotion. - Johannes De Smedt, Jochen De Weerdt, Junichiro Mori, Masanao Ochi:
Predictive Process Model Monitoring using Recurrent Neural Networks. - Aloka Fernando, Surangika Ranathunga, Gihan Dias:
Data Augmentation and Terminology Integration for Domain-Specific Sinhala-English-Tamil Statistical Machine Translation. - Shun Liu, Zhifei Li, Weifang Zhang, Yan Liang:
Distributed Weighted Least Squares Estimator Based on ADMM. - Eduard Gorbunov, Filip Hanzely, Peter Richtárik:
Local SGD: Unified Theory and New Efficient Methods. - Felipe Kenji Nakano, Konstantinos Pliakos, Celine Vens:
Deep tree-ensembles for multi-output prediction. - Stella Biderman, Walter J. Scheirer:
Pitfalls in Machine Learning Research: Reexamining the Development Cycle. - Angira Sharma, Edward Elson Kosasih, Jie Zhang, Alexandra Brintrup, Anisoara Calinescu:
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions. - Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh:
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges. - Upanshu Sharma, Wei Zhang:
Non-reversible sampling schemes on submanifolds. - Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu:
Dynamically Throttleable Neural Networks (TNN). - Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper:
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles. - Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
Chasing Carbon: The Elusive Environmental Footprint of Computing. - Ziqi Zhang, Chuanxu Zhao:
A generalized model for data science. - Fabian Knorr, Peter Thoman, Thomas Fahringer:
Datasets for Benchmarking Floating-Point Compressors. - Houwang Tu, Yongxian Wang, Qiang Lan, Wei Liu, Wenbin Xiao, Shuqing Ma:
Applying a Chebyshev collocation method based on domain decomposition for calculating underwater sound propagation in a horizontally stratified environment. - Arnold Reusken:
Analysis of finite element methods for surface vector-Laplace eigenproblems. - Valentina Candiani, Matteo Santacesaria:
Neural networks for classification of strokes in electrical impedance tomography on a 3D head model. - Ilker Bozcan, Erdal Kayacan:
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance. - Adrian Santos, Sira Vegas, Markku Oivo, Natalia Juristo:
Comparing the Results of Replications in Software Engineering. - Meike Nauta, Annemarie Jutte, Jesper C. Provoost, Christin Seifert:
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition. - Oleg V. German:
Postulate-based proof of the P != NP hypothesis. - Sharu Theresa Jose, Osvaldo Simeone, Giuseppe Durisi:
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization. - Bruno M. Rocha, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva:
Influence of Event Duration on Automatic Wheeze Classification. - Sitong Mao, Xiao Shen, Fu-Lai Chung:
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation. - Sitong Mao, Keli Zhang, Fu-Lai Chung:
Mixed Set Domain Adaptation. - Mehdi Khoshboresh-Masouleh, Mohammad R. Saradjian:
Robust building footprint extraction from big multi-sensor data using deep competition network. - Yu-Sen Cheng, Chun-Liang Shih, Tien-Hong Lo, Wen-Ting Tseng, Berlin Chen:
Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020. - Junjie Pang, Jianbo Li, Zhenzhen Xie, Yan Huang, Zhipeng Cai:
Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution. - Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. - Diego Kozlowski, Jennifer Dusdal, Jun Pang, Andreas Zilian:
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation. - William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. - Jorge Ramírez, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Ekaterina A. Taran, Veronika A. Malanina:
On the impact of predicate complexity in crowdsourced classification tasks. - Anuj Dawar, Abhisekh Sankaran:
MSO Undecidability for some Hereditary Classes of Unbounded Clique-Width. - Abideen Tetlay, Helen Treharne, Tom Ascroft, Sotiris Moschoyiannis:
Lessons Learnt from a 2FA roll out within a higher education organisation. - Gourav Wadhwa, Abhinav Dhall, Subrahmanyam Murala, Usman Tariq:
Hyperrealistic Image Inpainting with Hypergraphs. - José Pinto, Rubén Aylwin, Carlos Jerez-Hanckes:
Fast Solver for Quasi-Periodic 2D-Helmholtz Scattering in Layered Media. - Luca Pasqualini, Maurizio Parton:
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. - Zhaoshuo Li, Xingtong Liu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath:
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. - Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
EM Based Bounding of Unidentifiable Queries in Structural Causal Models. - Weidong Wang, Wangda Luo:
Machine Learning Framwork for Performance Anomaly in OpenMP Multi-Threaded Systems. - Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. - Daniel Borrajo, Manuela Veloso:
Domain-independent generation and classification of behavior traces. - Girish Joshi, Jasvir Virdi, Girish Chowdhary:
Asynchronous Deep Model Reference Adaptive Control. - Ranya Aloufi, Hamed Haddadi, David Boyle:
Paralinguistic Privacy Protection at the Edge. - Abdallah Namoun, Ahmad B. Alkhodre:
Towards Usability Guidelines for the Design of Effective Arabic Websites: Design Practices and Lessons Focusing on Font and Image usage. - Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga, Maria Liakata:
QMUL-SDS @ DIACR-ITA Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian. - Jingyi He, Konstantinos C. Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. - Zheng Yuan, Zhengyun Zhao, Sheng Yu:
CODER: Knowledge infused cross-lingual medical term embedding for term normalization. - Guy Amir, Haoze Wu, Clark W. Barrett, Guy Katz:
An SMT-Based Approach for Verifying Binarized Neural Networks. - Sebastian Buschjäger, Lukas Pfahler, Katharina Morik:
Generalized Negative Correlation Learning for Deep Ensembling. - Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh, Gerhard Widmer:
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. - David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. - Imdad Ullah:
Joint optimisation of privacy and cost of in-app mobile user profiling and targeted ads. - Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe:
Measuring Data Collection Quality for Community Healthcare. - András Faragó:
Optimization of Virtual Networks. - Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy:
On the Information Complexity of Proper Learners for VC Classes in the Realizable Case. - Suthee Ruangwises:
Using Five Cards to Encode Each Integer in Z/6Z. - Changmao Li, Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D. Choi:
Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models. - Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia, Carole-Jean Wu:
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery. - Samer Nofal:
A Smart Backtracking Algorithm for Computing Set Partitions with Parts of Certain Sizes. - Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan:
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. - Samuel P. Groth, Pierre Gélat, Seyyed R. Haqshenas, Nader Saffari, Elwin van't Wout, Timo Betcke, Garth N. Wells:
Accelerating numerical methods for nonlinear acoustics using nested meshes. - Calvin Luo, Hossein Mobahi, Samy Bengio:
Data Augmentation via Structured Adversarial Perturbations. - Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai:
Towards Dark Jargon Interpretation in Underground Forums. - Jan Gogoll, Niina Zuber, Severin Kacianka, Timo Greger, Alexander Pretschner, Julian Nida-Rümelin:
Ethics in the Software Development Process: From Codes of Conduct to Ethical Deliberation. - Patrick Huber, Giuseppe Carenini:
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. - Jiaxin Pei, David Jurgens:
Quantifying Intimacy in Language. - Patrick Huber, Giuseppe Carenini:
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. - Mahdi Namazifar, Alexandros Papangelis, Gökhan Tür, Dilek Hakkani-Tür:
Language Model is All You Need: Natural Language Understanding as Question Answering. - Patrick E. Farrell, Pablo Alexei Gazca-Orozco, Endre Süli:
Finite element appoximation and augmented Lagrangian preconditioning for anisothermal implicitly-constituted non-Newtonian flow. - Patrick Gray, Razvan C. Bunescu:
From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music. - Jean Bégaint, Fabien Racapé, Simon Feltman, Akshay Pushparaja:
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research. - Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton:
Teaching with Commentaries. - Ethan M. Rudd, Ahmed Abdallah:
Training Transformers for Information Security Tasks: A Case Study on Malicious URL Prediction. - Jingjing Cao, Fukang Guo, Xin Lai, Qiang Zhou, Jinshan Dai:
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition. - Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor:
Identifying and interpreting tuning dimensions in deep networks. - Gissel Velarde:
Artificial Intelligence and its impact on the Fourth Industrial Revolution: A Review. - Michal J. Gajda, Vitor Vitali Barrozzi, Gabriel Araujo:
Multicloud API binding generation from documentation. - Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer:
Alignment Restricted Streaming Recurrent Neural Network Transducer. - Bernhard Kähne, Markus Clemens, Sebastian Schöps:
Magnetic Field Simulations Using Explicit Time Integration With Higher Order Schemes. - Michal J. Gajda:
Towards a more perfect union type. - Nitin J. Sanket, Chahat Deep Singh, Varun Asthana, Cornelia Fermüller, Yiannis Aloimonos:
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation. - Chu Xu, Timothy Cleary, Guoxing Li, Donghai Wang, Hosam K. Fathy:
Parameter Identification and Sensitivity Analysis for Zero-dimensional Multi-physics Lithium-Sulfur Battery Models. - Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov:
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering. - Ludwig Leonard, Kevin Hoehlein, Rüdiger Westermann:
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects. - Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram:
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. - Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala:
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. - Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal:
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. - Kaiyu Shen, Razvan C. Bunescu, Sarah E. Wyatt:
Mining Functionally Related Genes with Semi-Supervised Learning. - Kristijan Bartol, David Bojanic, Tomislav Petkovic, Tomislav Pribanic, Yago Diez Donoso:
Towards Keypoint Guided Self-Supervised Depth Estimation. - El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed, Tariq Alhindi, Hasan Cavusoglu:
Machine Generation and Detection of Arabic Manipulated and Fake News. - Emil Jerábek:
Iterated multiplication in VTC0. - Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung:
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. - Aaron Kandel, Chu Xu, David Cardona, Carey Whitehair:
Fuel and Time Optimal USV Trajectory Planning under Flexible Refueling Constraints. - Yongsheng Bai, Halil Sezen, Alper Yilmaz:
End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales. - Tomislav Pribanic, Tomislav Petkovic, David Bojanic, Kristijan Bartol:
Smart Time-Multiplexing of Quads Solves the Multicamera Interference Problem. - (Withdrawn) Can Human Sex Be Learned Using Only 2D Body Keypoint Estimations?
- Jiawei Mo, Md Jahidul Islam, Junaed Sattar:
Learning Rolling Shutter Correction from Real Data without Camera Motion Assumption. - Arash Vaezi, Bodhayan Roy, Mohammad Ghodsi:
Visibility Extension via Reflection. - Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth:
Convergent Algorithms for (Relaxed) Minimax Fairness. - Chunxi Liu, Frank Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig:
Improving RNN Transducer Based ASR with Auxiliary Tasks. - Ben Abramowitz, Ehud Shapiro, Nimrod Talmon:
How to Amend a Constitution? Model, Axioms, and Supermajority Rules. - Daniel Alves de Sousa, Elaine Ribeiro de Faria, Rodrigo Sanches Miani:
Evaluating the Performance of Twitter-based Exploit Detectors. - Henggang Cui, Fang-Chieh Chou, Jake Charland, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models. - Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent J. Hecht:
Behavioral Use Licensing for Responsible AI. - Francesca Noardo, Teng Wu, Ken Arroyo Ohori, Thomas Krijnen, Jantien E. Stoter:
Investigating the automation of building permit checks through 3D GeoBIM information. - Alberto Calderone:
PubSqueezer: A Text-Mining Web Tool to Transform Unstructured Documents into Structured Data. - Payam Nikdel, Richard Vaughan, Mo Chen:
LBGP: Learning Based Goal Planning for Autonomous Following in Front. - Heiko Dietrich, James B. Wilson:
Group isomorphism is nearly-linear time for most orders. - Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. - Carolyn Matl, Yashraj S. Narang, Dieter Fox, Ruzena Bajcsy, Fabio Ramos:
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics. - Hao Zhang, Jae Ro, Richard Sproat:
Semi-supervised URL Segmentation with Recurrent Neural NetworksPre-trained on Knowledge Graph Entities. - Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric:
Ellipse Loss for Scene-Compliant Motion Prediction. - Jacky Liang, Oliver Kroemer:
Contact Localization for Robot Arms in Motion without Torque Sensing. - Vitor Bezzan, Cleber Damião Rocco:
Predicting special care during the COVID-19 pandemic: A machine learning approach. - Zixuan Huang, Beixiong Zheng, Rui Zhang:
Transforming Fading Channel From Fast to Slow: IRS-Assisted High-Mobility Communication. - Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai:
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. - Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez:
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. - Matthias J. Ehrhardt, Lindon Roberts:
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. - Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long:
Confusable Learning for Large-class Few-Shot Classification. - Hock Hung Chieng, Noorhaniza Wahid, Pauline Ong:
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning. - Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Wasserstein-based fairness interpretability framework for machine learning models. - Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. - Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. - Jia Guo, Chenyang Yang:
Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network. - Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine:
Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation. - Venkata Prashant Modekurthy:
Real-Time Control over Wireless Networks. - Linhang Cai, Zhulin An, Yongjun Xu:
GHFP: Gradually Hard Filter Pruning. - Hao Li, Huai Yu, Wen Yang, Lei Yu, Sebastian A. Scherer:
ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras. - Thibaud Tonnellier, Warren J. Gross:
On Systematic Polarization-Adjusted Convolutional (PAC) Codes. - Chaoqi Wang, Shengyang Sun, Roger B. Grosse:
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? - Ali Abedi, Shehroz S. Khan:
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks. - Tikam Alma, Manik Lal Das:
Web Application Attack Detection using Deep Learning. - Xinran Fang, Te Wei, Wei Feng, Hongxin Wei, Yunfei Chen, Ning Ge, Cheng-Xiang Wang:
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks. - Yilun Du, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Online Data Association. - Chong Liu, Yuqing Zhu, Kamalika Chaudhuri, Yu-Xiang Wang:
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning. - Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. - Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen:
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. - Chandra Chekuri, Kent Quanrud, Manuel R. Torres:
Fast Approximation Algorithms for Bounded Degree and Crossing Spanning Tree Problems. - Devam Dave, Het Naik, Smiti Singhal, Pankesh Patel:
Explainable AI meets Healthcare: A Study on Heart Disease Dataset. - Seonmyeong Bak, Oscar R. Hernandez, Mark Gates, Piotr Luszczek, Vivek Sarkar:
Task-Graph Scheduling Extensions for Efficient Synchronization and Communication. - Lai Wei, Yingyang Chen, Dongsheng Zheng, Bingli Jiao:
Secure Performance Analysis and Optimization for FD-NOMA Vehicular Communications. - Grigorii Guz, Patrick Huber, Giuseppe Carenini:
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining. - Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. - Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu:
Resource-Constrained Federated Learning with Heterogeneous Labels and Models. - Dongseok Shim, H. Jin Kim:
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss. - Leye Wang, Han Yu, Xiao Han:
Federated Crowdsensing: Framework and Challenges. - Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang:
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. - Lei Qian, Xuefen Chi, Linlin Zhao, Mohanad Obeed, Anas Chaaban:
User-Centric Secure Cell Formation for Visible Light Networks with Statistical Delay Guarantees. - Tiancheng Qin, S. Rasoul Etesami:
Optimal Online Algorithms for File-Bundle Caching and Generalization to Distributed Caching. - Jun Ma, Zilong Cheng, Xiaoxue Zhang, Abdullah Al Mamun, Clarence W. de Silva, Tong Heng Lee:
Data-Driven Predictive Control for Multi-Agent Decision Making With Chance Constraints. - Ayush Sinha, Sourin Chakrabarti, O. P. Vyas:
Distributed Grid restoration based on graph theory. - Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone:
Task-relevant Representation Learning for Networked Robotic Perception. - Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Jakub Chledowski, Filip Gralinski:
From Dataset Recycling to Multi-Property Extraction and Beyond. - Xinyue Pei, Hua Yu, Yingyang Chen, Miaowen Wen, Gaojie Chen:
Hybrid Multicast/Unicast Design in NOMA-based Vehicular Caching System with Supplementary Material. - Sourin Chakrabarti:
Efficient image retrieval using multi neural hash codes and bloom filters. - Boris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic:
Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network. - Yangchun Yan, Chao Li, Rongzuo Guo, Kang Yang, Yongjun Xu:
Channel Pruning via Multi-Criteria based on Weight Dependency. - Nandini Agrawal, R. Prashanthi, Osman Biçer, Alptekin Küpçü:
BlockSim-Net: A Network Based Blockchain Simulator. - Vamsi Talla, Joshua R. Smith, Shyamnath Gollakota:
Advances and Open Problems in Backscatter Networking. - Bagesh Kumar, Ayush Sinha, Sourin Chakrabarti, Aashutosh Khandelwal, Harsh Jain, O. P. Vyas:
Sequential Minimal Optimization for One-Class Slab Support Vector Machine. - Shiqi Tian, Zhuo Zheng, Ailong Ma, Yanfei Zhong:
Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery. - Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang:
ASFGNN: Automated Separated-Federated Graph Neural Network. - Sander Thuijsman, Michel A. Reniers:
Conversion of LSAT behavioral specifications to automata. - Matteo Iovino, Jonathan Styrud, Pietro Falco, Christian Smith:
Learning Behavior Trees with Genetic Programming in Unpredictable Environments. - Tiancheng Qin, S. Rasoul Etesami, César A. Uribe:
Communication-efficient Decentralized Local SGD over Undirected Networks. - Jens Kaiser, Dominik Schlechtweg, Sabine Schulte im Walde:
OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection. - Jan Pichl, Petr Marek, Jakub Konrád, Martin Matulík, Jan Sedivý:
Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models. - Jan Pichl, Petr Marek, Jakub Konrád, Petr Lorenc, Van Duy Ta, Jan Sedivý:
Alquist 3.0: Alexa Prize Bot Using Conversational Knowledge Graph. - Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar:
Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform. - Tulus, Syahril, Ahmad Kamal Ariffin:
Numerical Algorithm Development for Optimizing the Engine Stroke of Linear Generators. - Dennis Ulmer, Lotta Meijerink, Giovanni Ciná:
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data. - Jonas Tebbe, Lukas Krauch, Yapeng Gao, Andreas Zell:
Sample-efficient Reinforcement Learning in Robotic Table Tennis. - Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, Timo Aila:
Modular Primitives for High-Performance Differentiable Rendering. - Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel:
"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences. - Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Corpora Compared: The Case of the Swedish Gigaword & Wikipedia Corpora. - Haryo Akbarianto Wibowo, Tatag Aziz Prawiro, Muhammad Ihsan, Alham Fikri Aji, Radityo Eko Prasojo, Rahmad Mahendra:
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation. - Yova Kementchedjhieva, Di Lu, Joel R. Tetreault:
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation. - Delei Kong, Zheng Fang, Haojia Li, Kuanxu Hou, Sonya Coleman, Dermot Kerr:
Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition. - Surender Baswana, Abhyuday Pandey:
Fault-Tolerant All-Pairs Mincuts. - Yufan Jiang, Shuangzhi Wu, Jing Gong, Yahui Cheng, Peng Meng, Weiliang Lin, Zhibo Chen, Mu Li:
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning. - Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. - Jesús García Fernández, Ismail Alaoui Abdellaoui, Siamak Mehrkanoon:
Deep coastal sea elements forecasting using U-Net based models. - Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin:
Towards Efficient Scene Understanding via Squeeze Reasoning. - Per Ljung, Axel Målqvist, Anna Persson:
A generalized finite element method for the strongly damped wave equation with rapidly varying data. - Emmanuel Pignat, Hakan Girgin, Sylvain Calinon:
Generative adversarial training of product of policies for robust and adaptive movement primitives. - Chandrika Bhardwaj, Sanjiva Prasad:
Secure Information Flow Connections. - Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy:
Kernel Dependence Network. - Shen Gao, Xiuying Chen, Li Liu, Dongyan Zhao, Rui Yan:
Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog. - Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. - Lucas Gren:
Understanding Work Practices of Autonomous Agile Teams: A Social-psychological Review. - Ernest Benedito, Oliver Bond, Thomas Babb, Juan R. Pacha, Sandeep Kumar, Joan Solà-Morales:
Safe trajectory of a piece moved by a robot. - Florian Barth, Stefan Funke, Tobias Skovgaard Jepsen, Claudius Proissl:
Scalable Unsupervised Multi-Criteria Trajectory Segmentation and Driving Preference Mining. - Wissam Bejjani, Wisdom C. Agboh, Mehmet Remzi Dogar, Matteo Leonetti:
Occlusion-Aware Search for Object Retrieval in Clutter. - Damiano Mazza, Michele Pagani:
Automatic Differentiation in PCF. - Liwei An, Guang-Hong Yang:
Fast state estimation under sensor attacks: a senor categorization approach. - Johannes Markert, Gregor Gassner, Stefanie Walch:
A Sub-Element Adaptive Shock Capturing Approach for Discontinuous Galerkin Methods. - Yukito Onodera, Hiroki Takano, Daisuke Hisano, Yu Nakayama:
Drone Positioning for Visible Light Communication with Drone-Mounted LED and Camera. - Thomas Falconer, Letif Mones:
Deep learning architectures for inference of AC-OPF solutions. - Yaroslav Zharov, Alexey Ershov, Tilo Baumbach:
Self Supervised Learning for Object Localisation in 3D Tomographic Images. - Sukanya Bhattacharjee, R. Inkulu:
Vertex Fault-Tolerant Geometric Spanners for Weighted Points. - Tomás Báca, Petr Stibinger, Daniela Doubravova, Daniel Turecek, Jaroslav Solc, Jan Rusnak, Martin Saska, Jan Jakubek:
Gamma Radiation Source Localization for Micro Aerial Vehicles with a Miniature Single-Detector Compton Event Camera. - Lars Fritsche, Jens Kosiol, Adrian Möller, Andy Schürr, Gabriele Taentzer:
A Precedence-Driven Approach for Concurrent Model Synchronization Scenarios using Triple Graph Grammars. - Hao Nie, Qin Zhang:
A New Inference algorithm of Dynamic Uncertain Causality Graph based on Conditional Sampling Method for Complex Cases. - Xiaobin Liu, Shiliang Zhang:
Domain Adaptive Person Re-Identification via Coupling Optimization. - Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. - Qiaohua Liu, Zhigang Jia, Sitao Ling:
Randomized Quaternion Singular Value Decomposition for Low-Rank Approximation. - Samaneh Saadat, Gita Sukthankar:
Explaining Differences in Classes of Discrete Sequences. - Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng:
FDNAS: Improving Data Privacy and Model Diversity in AutoML. - Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant R. Kalagnanam:
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees. - Mehrasa Ahmadipour, Michèle A. Wigger, Mari Kobayashi:
Joint Sensing and Communication over Memoryless Broadcast Channels. - Seyedeh Fa'ezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-Hurley, Marius Portmann:
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation. - Pingcheng Jian, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun:
Adversarial Skill Learning for Robust Manipulation. - Chuang Niu, Ge Wang:
Noise2Sim - Similarity-based Self-Learning for Image Denoising. - Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. - Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi, Carmela Troncoso:
The Bayes Security Measure. - Mathias Jesse, Dietmar Jannach:
Digital Nudging with Recommender Systems: Survey and Future Directions. - Guang Hua, Han Liao, Haijian Zhang, Dengpan Ye, Jiayi Ma:
Robust ENF Estimation Based on Harmonic Enhancement and Maximum Weight Clique. - Samaneh Saadat, Olivia B. Newton, Gita Sukthankar, Stephen M. Fiore:
Analyzing the Productivity of GitHub Teams based on Formation Phase Activity. - Sara Latifi, Noemi Mauro, Dietmar Jannach:
Session-aware Recommendation: A Surprising Quest for the State-of-the-art. - Evangelos Mitsakis, Areti Kotsi, Vasileios Psonis:
C-ITS bundling for integrated traffic management. - Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter, Didier Stricker:
Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function. - Marc Roth, Johannes Schmitt, Philip Wellnitz:
Detecting and Counting Small Subgraphs, and Evaluating a Parameterized Tutte Polynomial: Lower Bounds via Toroidal Grids and Cayley Graph Expanders. - Telikepalli Kavitha:
Maximum Matchings and Popularity. - Revanth Gangi Reddy, Md. Arafat Sultan, Efsun Sarioglu Kayi, Rong Zhang, Vittorio Castelli, Avirup Sil:
Answer Span Correction in Machine Reading Comprehension. - Shubham Sangle, Sandeep Muvva, Sridhar Chimalakonda, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao:
DRAST - A Deep Learning and AST Based Approach for Bug Localization. - Rong-Cheng Tu, Xian-Ling Mao, Rongxin Tu, Wei Wei, Heyan Huang:
Deep Cross-modal Proxy Hashing. - Xuan Bi, Gediminas Adomavicius, William Li, Annie Qu:
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness. - Karthekeyan Chandrasekaran, Weihang Wang:
Fixed Parameter Approximation Scheme for Min-max k-cut. - Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez:
Complex Query Answering with Neural Link Predictors. - Wei Cui, Tong Dou, Shilu Yan:
Threats and Opportunities: Blockchain Meets Quantum Computation. - Reynald Affeldt, David Nowak:
Extending Equational Monadic Reasoning with Monad Transformers. - Andre Cleaver, Darren Tang, Victoria Chen, Jivko Sinapov:
HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality. - Yao Jiang, Siva Nadarajah:
Numerical Dissipation Based Error Estimators and Grid Adaptation for Large Eddy Simulation. - Gongbo Tang, Rico Sennrich, Joakim Nivre:
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. - Yulin Zhang, Hazhar Rahmani, Dylan A. Shell, Jason M. O'Kane:
Accelerating combinatorial filter reduction through constraints. - Daniel Park, Hannah Powers, Benji Prashker, Leland Liu, Bülent Yener:
Towards Obfuscated Malware Detection for Low Powered IoT Devices. - Thibaut Metivet, Arnaud Sengers, Mourad Ismaïl, Emmanuel Maitre:
Diffusion-redistanciation schemes for 2D and 3D constrained Willmore flow: application to the equilibrium shapes of vesicles. - Christian Böhm, Claudia Plant:
Massively Parallel Graph Drawing and Representation Learning. - Gustav Sourek, Filip Zelezný, Ondrej Kuzelka:
Learning with Molecules beyond Graph Neural Networks. - Simón Martinez-Rozas, David Alejo, Fernando Caballero, Luis Merino:
Optimization-based Trajectory Planning for Tethered Marsupial Robots. - Saif M. Mohammad:
Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons. - Yujia Jin, Aaron Sidford, Kevin Tian:
Semi-Streaming Bipartite Matching in Fewer Passes and Less Space. - Arash Sadeghzadeh, Roland Tóth:
Linear Parameter-Varying Embedding of Nonlinear Models with Reduced Conservativeness. - Quan Duong, Mika Hämäläinen, Simon Hengchen:
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish. - Christopher Grimm, André Barreto, Satinder Singh, David Silver:
The Value Equivalence Principle for Model-Based Reinforcement Learning. - Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot:
Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation? - Yusuke Izawa, Hidehiko Masuhara:
Amalgamating Different JIT Compilations in a Meta-tracing JIT Compiler Framework. - Yi Yang, Brendan Shillingford, Yannis M. Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas:
Large-scale multilingual audio visual dubbing. - Simon Osindero:
Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography. - Michal J. Gajda, Dmitry Krylov:
Fast XML/HTML for Haskell: XML TypeLift. - Michal J. Gajda:
Less Arbitrary waiting time. - Michal J. Gajda, Hai Nguyen Quang, Do Ngoc Khanh, Vuong Hai Thanh:
Infer XPath. - Wei An, Muriel Médard, Ken R. Duffy:
Keep the bursts and ditch the interleavers. - Ron J. Weiss, R. J. Skerry-Ryan, Eric Battenberg, Soroosh Mariooryad, Diederik P. Kingma:
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis. - Diane Hosfelt, Jessica Outlaw, Tyesha Snow, Sara Carbonneau:
Look Before You Leap: Trusted User Interfaces for the Immersive Web. - Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon:
Single-Node Attack for Fooling Graph Neural Networks. - Philipp Andermatt, Radu Timofte:
A Weakly Supervised Convolutional Network for Change Segmentation and Classification. - Mengke Liu, Sivakumar Rathinam, Swaroop Darbha:
Lateral Control of a Convoy of Autonomous and Connected Vehicles with Limited Preview Information. - Mohit Bhardwaj, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Hostility Detection Dataset in Hindi. - Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard M. Murray:
Reactive motion planning with probabilistic safety guarantees. - Iulia-Cristina Stanica, Florica Moldoveanu, Giovanni-Paul Portelli, Maria-Iuliana Dascalu, Alin Moldoveanu, Mariana Georgiana Ristea:
Flexible Virtual Reality System for Neurorehabilitation and Quality of Life Improvement. - Yoji Yamato:
Study of Automatic GPU Offloading Method from Various Language Applications. - Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi, Michael T. Wolf, Marco Pavone:
Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. - Sameer Kumar, Norm Jouppi:
Highly Available Data Parallel ML training on Mesh Networks. - Charlie Dickens:
Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives. - Qian Luo, Maks Sorokin, Sehoon Ha:
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning. - Amal Feriani, Ekram Hossain:
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial. - Niranjan Hasabnis, Justin Gottschlich:
ControlFlag: A Self-supervised Idiosyncratic Pattern Detection System for Software Control Structures. - Herbert Edelsbrunner, Georg Osang:
A Simple Algorithm for Higher-order Delaunay Mosaics and Alpha Shapes. - Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu:
Learning Human Search Behavior from Egocentric Visual Inputs. - Fedor V. Fomin, Petr A. Golovach, Danil Sagunov, Kirill Simonov:
Algorithmic Extensions of Dirac's Theorem. - Allen Liu, Ankur Moitra:
Settling the Robust Learnability of Mixtures of Gaussians. - Ian Covert, Scott M. Lundberg, Su-In Lee:
Feature Removal Is a Unifying Principle for Model Explanation Methods. - Stephan Antholzer, Markus Haltmeier:
Discretization of learned NETT regularization for solving inverse problems. - Mert Nakip, Onur Çopur, Cüneyt Güzelis:
Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak. - Philipp Ladwig, Alexander Pech, Ralf Dörner, Christian Geiger:
Unmasking Communication Partners: A Low-Cost AI Solution for Digitally Removing Head-Mounted Displays in VR-Based Telepresence. - Yong Chen, Zhi-Gang Jia, Yaxin Peng, Yan Peng:
Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection. - Qingyang Tan, Zherong Pan, Dinesh Manocha:
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints. - Yaochen Xie, Yu Ding, Shuiwang Ji:
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution. - Shahrokh Paravarzar, Belqes Mohammad:
Motion Prediction on Self-driving Cars: A Review. - Victor Parque, Tomoyuki Miyashita:
An Efficient Scheme for the Generation of Ordered Trees in Constant Amortized Time. - Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Differential Advising in Multi-Agent Reinforcement Learning. - Sameer Kumar, James Bradbury, Cliff Young, Yu Emma Wang, Anselm Levskaya, Blake A. Hechtman, Dehao Chen, HyoukJoong Lee, Mehmet Deveci, Naveen Kumar, Pankaj Kanwar, Shibo Wang, Skye Wanderman-Milne, Steve Lacy, Tao Wang, Tayo Oguntebi, Yazhou Zu, Yuanzhong Xu, Andy Swing:
Exploring the limits of Concurrency in ML Training on Google TPUs. - Yaseer Ashraf, Ahmed Abdallah, Abdelhaleem Osman, Victor Parque, Samy Assal:
Towards Spiral Brick Column Building Robots. - Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu:
Timely Information from Prediction Markets. - Akshat Gupta, Xinjian Li, Sai Krishna Rallabandi, Alan W. Black:
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages. - Ricardo Gama, Hugo L. Fernandes:
A Reinforcement Learning Approach to the Orienteering Problem with Time Windows. - Brett Thomas Lopez, Jean-Jacques E. Slotine:
Sliding on Manifolds: Geometric Attitude Control with Quaternions. - Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning. - Benjamin J. Chasnov, Daniel J. Calderone, Behçet Açikmese, Samuel A. Burden, Lillian J. Ratliff:
Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces. - Samuel Brandenburg, Pedro Machado, Nikesh Lama, T. M. McGinnity:
Strawberry Detection Using a Heterogeneous Multi-Processor Platform. - Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
No-regret Learning in Price Competitions under Consumer Reference Effects. - Jessica Dai, Sina Fazelpour, Zachary C. Lipton:
Fair Machine Learning Under Partial Compliance. - Yingyang Chen, Miaowen Wen, Ertugrul Basar, Yik-Chung Wu, Li Wang, Weiping Liu:
Exploiting Reconfigurable Intelligent Surfaces in Edge Caching: Joint Hybrid Beamforming and Content Placement Optimization. - Jingnan Shi, Heng Yang, Luca Carlone:
ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants. - Yue Niu, Robert Harper:
Cost-Aware Type Theory. - Jiahui Lin, Tong Zhou, Delong Zhu, Jianbang Liu, Max Q.-H. Meng:
Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments. - Yunhao Yang:
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder. - Gang Liu, Kenli Li, Zheng Xiao, Rujia Wang:
EHAP-ORAM: Efficient Hardware-Assisted Persistent ORAM System for Non-volatile Memory. - Selma Rizvic, Dusanka Boskovic, Vensada Okanovic, Sanda Sljivo, Merima Zukic:
Interactive digital storytelling: bringing cultural heritage in a classroom. - Aleksandar Miladinovic, Milos Ajcevic, Pierpaolo Busan, Joanna Jarmolowska, Giulia Silveri, Manuela Deodato, Susanna Mezzarobba, Piero Paolo Battaglini, Agostino Accardo:
Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients. - Aditya Mehta, Harsh Sinha, Murari Mandal, Pratik Narang:
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing. - Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama:
Limits on Testing Structural Changes in Ising Models. - Haici Yang, Hongda Mao, Ruirui Li, Chelsea J.-T. Ju, Oguz Elibol:
Non-local convolutional neural networks (nlcnn) for speaker recognition. - Giovanni Santella, Francesco Vatalaro:
An approach to define Very High Capacity Networks with improved quality at an affordable cost. - Jiaheng Wei, Yang Liu:
When Optimizing f-divergence is Robust with Label Noise. - Steven Roberts, Andrey A. Popov, Arash Sarshar, Adrian Sandu:
A fast time-stepping strategy for ODE systems equipped with a surrogate model. - Yang Gao, Jiachen Lian, Bhiksha Raj, Rita Singh:
Detection and Evaluation of human and machine generated speech in spoofing attacks on automatic speaker verification systems. - Fasheng Zhou, Changsheng You, Rui Zhang:
Delay-Optimal Scheduling for IRS-Aided Mobile Edge Computing. - Kyuwon Han, Seung Min Yu, Seong-Lyun Kim, Seung-Woo Ko:
Exploiting User Mobility for WiFi RTT Positioning: A Geometric Approach. - Ján Drgona, Karol Kis, Aaron Tuor, Draguna L. Vrabie, Martin Klauco:
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. - Andrei A. Bulatov, Akbar Rafiey:
On the Complexity of CSP-based Ideal Membership Problems. - Guoqing Bao, Manuel B. Graeber, Xiuying Wang:
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy. - Yujia Zhang, Qianzhong Li, Xiaoguang Zhao, Min Tan:
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation. - Kyle Burke, Matthew Ferland, Shang-Hua Teng:
Quantum Combinatorial Games: Structures and Computational Complexity. - Harshil Jain, Rohit Patil, Indra Deep Mastan, Shanmuganathan Raman:
Blind Motion Deblurring through SinGAN Architecture. - Indra Deep Mastan, Shanmuganathan Raman:
DeepCFL: Deep Contextual Features Learning from a Single Image. - Richa Sharma, Parth Vipul Shah, Ashwini M. Joshi:
Naturalization of Text by the Insertion of Pauses and Filler Words. - Liangzi Rong, Chunping Li:
Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation. - Abhijit Mishra, Md. Faisal Mahbub Chowdhury, Sagar Manohar, Dan Gutfreund, Karthik Sankaranarayanan:
Template Controllable keywords-to-text Generation. - Dimitar P. Guelev:
Reasoning about Temporary Coalitions and LTL-definable Ordered Objectives in Infinite Concurrent Multiplayer Games. - Liangzi Rong, Chunping Li:
A Strong Baseline for Crowd Counting and Unsupervised People Localization. - Xiaobo Zhou, Shihao Yan, Qingqing Wu, Feng Shu, Derrick Wing Kwan Ng:
Intelligent Reflecting Surface (IRS)-Aided Covert Wireless Communication with Delay Constraint. - Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva:
Enhash: A Fast Streaming Algorithm For Concept Drift Detection. - Dennis Wijnberg, Nhien-An Le-Khac:
Identifying interception possibilities for WhatsApp communication. - Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park:
Human-Like Active Learning: Machines Simulating the Human Learning Process. - Sandra Lagén, Lorenza Giupponi, Andreas Hansson, Xavier Gelabert:
Modulation Compression in Next Generation RAN: Air Interface and Fronthaul trade-offs. - Jun Wen, Changjian Shui, Kun Kuang, Junsong Yuan, Zenan Huang, Zhefeng Gong, Nenggan Zheng:
Interventional Domain Adaptation. - Arnaud Casteigts, Michael Raskin, Malte Renken, Viktor Zamaraev:
Sharp Thresholds in Random Simple Temporal Graphs. - Li Tian, Hanhui Li, Muhammad Faaiz Khan Bin Abdul Halil, Nadia Magnenat-Thalmann, Daniel Thalmann, Jianmin Zheng:
Fast 3D Modeling of Anthropomorphic Robotic Hands Based on A Multi-layer Deformable Design. - Jingyi Lu, Daniel E. Quevedo, Vijay Gupta, Subhrakanti Dey:
Stealthy hacking and secrecy of controlled state estimation systems with random dropouts. - Lamya Alkhariji, Nada Alhirabi, Mansour Naser Alraja, Mahmoud Barhamgi, Omer F. Rana, Charith Perera:
Synthesising Privacy by Design Knowledge Towards Explainable Internet of Things Application Designing in Healthcare. - Angelos Mavrogiannis, Rohan Chandra, Dinesh Manocha:
B-GAP: Behavior-Guided Action Prediction for Autonomous Navigation. - Pengchao Han, Jihong Park, Shiqiang Wang, Yejun Liu:
Robustness and Diversity Seeking Data-Free Knowledge Distillation. - Elizamary Nascimento, Anh Nguyen-Duc, Ingrid Sundbø, Tayana Conte:
Software engineering for artificial intelligence and machine learning software: A systematic literature review. - Jason Angel, Carlos A. Rodriguez-Diaz, Alexander F. Gelbukh, Sergio Jiménez:
NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora. - Jinming Liu, Ke Li, Baolin Song, Li Zhao:
A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM. - Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh:
NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings. - Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Qun Liu, Maosong Sun:
Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads. - Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Text-to-Image Generation Grounded by Fine-Grained User Attention. - Sofia Eriksson, Siyang Wang:
Summation-by-parts approximations of the second derivative: Pseudoinverses of singular operators and revisiting the sixth order accurate narrow-stencil operator. - Sándor Kisfaludi-Bak, Jesper Nederlof, Karol Wegrzycki:
A Gap-ETH-Tight Approximation Scheme for Euclidean TSP. - Paul Hriljac:
Constructing Cryptographic Multilinear Maps Using Affine Automorphisms. - Mengfan Liu, Rui Wang:
Deep Reinforcement Learning Based Dynamic Power and Beamforming Design for Time-Varying Wireless Downlink Interference Channel. - Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations. - Rohan P. Singh, Mehdi Benallegue, Yusuke Yoshiyasu, Fumio Kanehiro:
Rapid Pose Label Generation through Sparse Representation of Unknown Objects. - Lirong Xia:
How Likely Are Large Elections Tied? - Muhammad Hassan, Yan Wang, Di Wang, Daixi Li, Yanchun Liang, You Zhou, Dong Xu:
Deep Learning Analysis and Age Prediction from Shoeprints. - Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta:
Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity. - Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu:
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. - Yingqian Wang, Xinyi Ying, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Symmetric Parallax Attention for Stereo Image Super-Resolution. - Wenxuan Wang, Zhaopeng Tu:
Rethinking the Value of Transformer Components. - Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee:
Sim-to-Real Transfer for Vision-and-Language Navigation. - Yiyuan Lee, Panpan Cai, David Hsu:
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic. - Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Fawaz Alsolami, Waleed Alasmary, Xuemin Shen:
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning. - Ce Jin, Nikhil Vyas, Ryan Williams:
Fast Low-Space Algorithms for Subset Sum. - Weiping Yu, Taojiannan Yang, Chen Chen:
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection. - Raman Goyal, Manoranjan Majji, Robert E. Skelton:
Robust Shape Control of Gyroscopic Tensegrity Robotic Arm. - Negar Heidari, Alexandros Iosifidis:
On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition. - Thibaud de Souza:
Implementing Behavior Trees using Three-Valued Logic. - Ning Li, Bethany Keller, Mark Butler, Daniel Cer:
SeqGenSQL - A Robust Sequence Generation Model for Structured Query Language. - Mashnoon Islam, Touhid Ahmed, Abu Tammam Bin Nuruddin, Mashuda Islam, Shahnewaz Siddique:
Autonomous Intruder Detection Using a ROS-Based Multi-Robot System Equipped with 2D-LiDAR Sensors. - Ashutosh Pandey, Chunxi Liu, Yun Wang, Yatharth Saraf:
Dual Application of Speech Enhancement for Automatic Speech Recognition. - Jean Pablo Vieira de Mello, Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Alberto Ferreira de Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos:
Deep traffic light detection by overlaying synthetic context on arbitrary natural images. - Brosnan Yuen, Minh Tu Hoang, Xiaodai Dong, Tao Lu:
Universal Activation Function For Machine Learning. - Miguel Altamirano Cabrera, Igor Usachev, Juan Heredia, Jonathan Tirado, Aleksey Fedoseev, Dzmitry Tsetserukou:
MaskBot: Real-time Robotic Projection Mapping with Head Motion Tracking. - Ilya Zakharkin, Arman Tsaturyan, Miguel Altamirano Cabrera, Jonathan Tirado, Dzmitry Tsetserukou:
ZoomTouch: Multi-User Remote Robot Control in Zoom by DNN-based Gesture Recognition. - Hoang Long Nguyen, Zhenhe Pan, Hashim Abu-gellban, Fang Jin, Yuanlin Zhang:
Google Trends Analysis of COVID-19. - Anahid Basiri:
Open Area Path Finding to Improve Wheelchair Navigation. - Karsten M. Borgwardt, M. Elisabetta Ghisu, Felipe Llinares-López, Leslie O'Bray, Bastian Rieck:
Graph Kernels: State-of-the-Art and Future Challenges. - Christopher Clark, Mark Yatskar, Luke Zettlemoyer:
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. - Sarah Bechtle, Bilal Hammoud, Akshara Rai, Franziska Meier, Ludovic Righetti:
Leveraging Forward Model Prediction Error for Learning Control. - Aurelien Junior Noupelah, Antoine Tambue:
Strong convergence of some Euler-type schemes for the finite element discretization of time-fractional SPDE driven by standard and fractional Brownian motion. - Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari:
Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering. - Cade Gordon, Natalie Parde:
Latent Neural Differential Equations for Video Generation. - Rad Niazadeh, Renato Paes Leme, Jon Schneider:
Combinatorial Bernoulli Factories: Matchings, Flows and Other Polytopes. - Neema Kotonya, Francesca Toni:
Explainable Automated Fact-Checking: A Survey. - Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White:
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. - Zijie Huang, Yizhou Sun, Wei Wang:
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. - Mohammed I. Abouheaf, Wail Gueaieb, Davide Spinello:
Online Multi-Objective Model-Independent Adaptive Tracking Mechanism for Dynamical Systems. - Sarah Bechtle, Neha Das, Franziska Meier:
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation. - Jawad Naveed Yasin, Mohammad Hashem Haghbayan, Muhammad Mehboob Yasin, Juha Plosila:
Swarm Formation Morphing for Congestion Aware Collision Avoidance. - Gavin Brown, Shlomi Hod, Iden Kalemaj:
Performative Prediction in a Stateful World. - Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin:
Denoising Relation Extraction from Document-level Distant Supervision. - Emil Noordeh, Roman Levin, Ruochen Jiang, Harris Shadmany:
Echo Chambers in Collaborative Filtering Based Recommendation Systems. - Mengran Liu, Weiwei Fang, Xiaodong Ma, Wenyuan Xu, Naixue Xiong, Yi Ding:
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing. - Mina Dalirrooyfard, Nicole Wein:
Tight Conditional Lower Bounds for Approximating Diameter in Directed Graphs. - Junha Roh, Christoforos I. Mavrogiannis, Rishabh Madan, Dieter Fox, Siddhartha S. Srinivasa:
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections. - Sébastien Bubeck, Thomas Budzinski, Mark Sellke:
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions. - Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen:
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. - Alex Mathai, Shreya Khare, Srikanth Tamilselvam, Senthil Mani:
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks. - Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Learning Neural Event Functions for Ordinary Differential Equations. - Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. - Xiang Zhang, Yang Liu, Caglar Oskay:
Multiscale Reduced-Order Modeling of a Titanium Skin Panel Subjected to Thermo-Mechanical Loading. - Filipp Skomorokhov, Grigory V. Ovchinnikov:
Reinforcement Learning for Assignment problem. - Parthesh Soni, Falak Shah, Nisarg Vyas:
Faster object tracking pipeline for real time tracking. - Yuwei Liang, Weijie Li, Yue Wang, Rong Xiong:
Dynamic Movement Primitive based Motion Retargeting for Dual-Arm Sign Language Motions. - Weiming Feng, Kun He, Yitong Yin:
Sampling Constraint Satisfaction Solutions in the Local Lemma Regime. - Ruo Li, Wei Zhong:
A modified adaptive improved mapped WENO method. - Cem Kalkanli, Ayfer Özgür:
Asymptotic Convergence of Thompson Sampling. - Kyle Min, Jason J. Corso:
Integrating Human Gaze into Attention for Egocentric Activity Recognition. - Dimple A. Shajahan, Mukund Varma T., Ramanathan Muthuganapathy:
PointTransformer for Shape Classification and Retrieval of 3D and ALS Roof PointClouds. - Yuxiang Cui, Haodong Zhang, Yue Wang, Rong Xiong:
Learning World Transition Model for Socially Aware Robot Navigation. - André Arnold, Patrick Cégielski, Serge Grigorieff, Irène Guessarian:
The algebra of binary trees is affine complete. - Abhijeet Upadhya, Juhi Gupta, Vivek Kumar Dwivedi, Mohamed-Slim Alouini:
Impact of RF I/Q Imbalance on Interference-Limited Mixed RF/FSO TWR Systems with Non-Zero Boresight Error. - Alexandros Stergiou, Ronald Poppe:
Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos. - Mohamad Katanbaf, Anthony Weinand, Vamsi Talla:
Simplifying Backscatter Deployment: Full-Duplex LoRa Backscatter. - Yang Ai, Haoyu Li, Xin Wang, Junichi Yamagishi, Zhen-Hua Ling:
Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation. - Vinoj Jayasundara, Debaditya Roy, Basura Fernando:
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition. - Qing Jiao, Yushan Li, Jianping He, Ling Shi:
Topology Inference for Multi-agent Cooperation under Unmeasurable Latent Input. - Satwik Bhattamishra, Kabir Ahuja, Navin Goyal:
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages. - Zhichao Han, Ruibin Zhang, Neng Pan, Chao Xu, Fei Gao:
Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments. - Mladan Jovanovic, Marcos Báez, Fabio Casati:
Chatbots as conversational healthcare services. - John Mwangi Wandeto, Birgitta Dresp-Langley:
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. - Minghe Zhu, Tsung-Hui Chang, Mingyi Hong:
Learning to Beamform in Heterogeneous Massive MIMO Networks. - Chang Liu, Yunjie Tian, Jianbin Jiao, Qixiang Ye:
Adaptive Linear Span Network for Object Skeleton Detection. - Kai Chen, Twan van Laarhoven, Elena Marchiori:
Skewed Laplace Spectral Mixture kernels for long-term forecasting in Gaussian process. - Jialin Ji, Zhepei Wang, Yingjian Wang, Chao Xu, Fei Gao:
Mapless-Planner: A Robust and Fast Planning Framework for Aggressive Autonomous Flight without Map Fusion. - Vasileios Gkolemis, Michael Gutmann:
Extending the statistical software package Engine for Likelihood-Free Inference. - Antoine Mottet, Michael Pinsker:
Smooth approximations and CSPs over finitely bounded homogeneous structures. - Lizi Wang, Hongkai Ye, Qianhao Wang, Yuman Gao, Chao Xu, Fei Gao:
Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments. - Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. - Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. - Xu Du, Alexander Engelmann, Timm Faulwasser, Boris Houska:
Online power system parameter estimation and optimal operation. - Christophe De Wagter, Bart Remes, Ewoud J. J. Smeur, Freek van Tienen, Rick Ruijsink, Kevin van Hecke, Erik van der Horst:
The NederDrone: A hybrid lift, hybrid energy hydrogen UAV. - Craig Thomson, Ehud Reiter:
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems. - Ziming Ding, Tiankai Yang, Kunyi Zhang, Chao Xu, Fei Gao:
VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation. - Abbas Hammoud, Yun William Yu:
Privacy-accuracy trade-offs in noisy digital exposure notifications. - Ishika Singh, Ahsan Barkati, Tushar Goswamy, Ashutosh Modi:
Adapting a Language Model for Controlled Affective Text Generation. - Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers. - Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler:
Long Range Arena: A Benchmark for Efficient Transformers. - Anand Natrajan, Mallige Anand:
Scout Algorithm For Fast Substring Matching. - Scott Friedman, Jeffrey M. Rye, David LaVergne, Dan J. Thomsen, Matthew Allen, Kyle Tunis:
Provenance-Based Interpretation of Multi-Agent Information Analysis. - Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang:
Online Sparse Reinforcement Learning. - Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang:
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. - Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Velickovic, Théophane Weber:
On the role of planning in model-based deep reinforcement learning. - Vsevolod A. Afanasev, René van Bevern, Oxana Yu. Tsidulko:
The Hierarchical Chinese Postman Problem: the slightest disorder makes it hard, yet disconnectedness is manageable. - Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang:
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification. - Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. - Sarat Chandra Varanasi, Neeraj Mittal, Gopal Gupta:
Generating Concurrent Programs From Sequential Data Structure Knowledge. - Lorenzo Balzotti, Paolo Giulio Franciosa:
Computing Lengths of Shortest Non-Crossing Paths in Planar Graphs. - Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi:
FairLens: Auditing Black-box Clinical Decision Support Systems. - Nader Bouacida, Jiahui Hou, Hui Zang, Xin Liu:
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning. - Shreyas Rajesh Labhsetwar, Raj Sunil Salvi, Piyush Arvind Kolte, Veerasai Subramaniam Venkatesh, Alistair Michael Baretto:
Predictive Analysis of Diabetic Retinopathy with Transfer Learning. - Giuseppe Patanè:
Fourier-based and Rational Graph Filters for Spectral Processing. - Shreyas Rajesh Labhsetwar, Soumya Haridas, Riyali Panmand, Rutuja Deshpande, Piyush Arvind Kolte, Sandhya Pati:
Performance Analysis of Optimizers for Plant Disease Classification with Convolutional Neural Networks. - Shreyas Rajesh Labhsetwar, Alistair Michael Baretto, Raj Sunil Salvi, Piyush Arvind Kolte, Veerasai Subramaniam Venkatesh:
Analysis of Dimensional Influence of Convolutional Neural Networks for Histopathological Cancer Classification. - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
MLAS: Metric Learning on Attributed Sequences. - Peri Akiva, Benjamin Planche, Aditi Roy, Kristin J. Dana, Peter Oudemans, Michael Mars:
AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk. - Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems. - Abdul Moiz, Manar H. Alalfi:
An Approach for the Identification of Information Leakage in Automotive Infotainment systems. - Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. - Pritam Choudhury, Harley Eades III, Richard A. Eisenberg, Stephanie C. Weirich:
A graded dependent type system with a usage-aware semantics (extended version). - Mark Braverman, Dor Minzer:
Optimal tiling of the Euclidean space using symmetric bodies. - Bob Pepin:
The Harmonic Edit Distance. - Qiang Li:
An HVS-Oriented Saliency Map Prediction Modeling. - Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough:
Exploring market power using deep reinforcement learning for intelligent bidding strategies. - Henrique Santos, Alice Mulvehill, John S. Erickson, Jamie P. McCusker, Minor Gordon, Owen Xie, Samuel Stouffer, Gerard Capraro, Alex Pidwerbetsky, John Burgess, Allan Berlinsky, Kurt A. Turck, Jonathan D. Ashdown, Deborah L. McGuinness:
A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation. - Yun Chang, Yulun Tian, Jonathan P. How, Luca Carlone:
Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. - Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu:
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation. - Jiaming Zha, Mark W. Mueller:
Exploiting collisions for sampling-based multicopter motion planning. - Koen Oostermeijer, Qing Wang, Jun Du:
Frequency Gating: Improved Convolutional Neural Networks for Speech Enhancement in the Time-Frequency Domain. - Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization. - Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu:
Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics. - Priyank Srivastava, Chin-Yao Chang, Jorge Cortés:
Enabling DER Participation in Frequency Regulation Markets. - Jie Wang, Rui Gao, Hongyuan Zha:
Reliable Off-policy Evaluation for Reinforcement Learning. - Puneet Kumar:
Evolution of Artificial Intelligent Plane. - Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. - Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian:
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. - Gennadi I. Malaschonok:
LDU factorization. - Lars Lindemann, Haimin Hu, Alexander Robey, Hanwen Zhang, Dimos V. Dimarogonas, Stephen Tu, Nikolai Matni:
Learning Hybrid Control Barrier Functions from Data. - Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic:
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. - Tareq Tayeh, Sulaiman A. Aburakhia, Ryan Myers, Abdallah Shami:
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks. - Gil Avraham, Yan Zuo, Tom Drummond:
Localising In Complex Scenes Using Balanced Adversarial Adaptation. - Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu:
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications. - Allen Kim, Charuta Pethe, Steven Skiena:
What time is it? Temporal Analysis of Novels. - Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, David P. Woodruff:
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. - Jake Lee, Junfeng Yang, Zhangyang Wang:
What Does CNN Shift Invariance Look Like? A Visualization Study. - Yongming Zheng, An-Bao Xu:
Tensor Completion via Tensor QR Decomposition and L2, 1-Norm Minimization. - Zehao Zhao, Xiongfeng Ma, Hongyi Zhou:
Performance Optimization on Practical Quantum Random Number Generators: Modification on Min-entropy Evaluation and Acceleration on Post Processing. - Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng:
Automatic Summarization of Open-Domain Podcast Episodes. - Akash Anand, Yassine Boubendir, Fatih Ecevit, Souaad Lazergui:
Spectral Galerkin boundary element methods for high-frequency sound-hard scattering problems. - Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, Petar Milin:
CxGBERT: BERT meets Construction Grammar. - Alex Carderas, Ye Yuan, Itamar Livnat, Ryan Yanagihara, Rosita Saul, Gabrielle Montes De Oca, Kai Zheng, Andrew W. Browne:
Automated data extraction of bar chart raster images. - Dongchen Liu, Junzheng Wang, Shoukun Wang, Dawei Shi, Huaihang Zheng, Yuan Huang:
Virtual Model Control for Wheel-legged Robotic Systems with Prescribed Transient Performance. - Makoto Araya, Masaaki Harada:
On the classification of quaternary optimal Hermitian LCD codes. - Glen Chou, Necmiye Ozay, Dmitry Berenson:
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. - Arnab Bhattacharyya, Sutanu Gayen, Eric Price, N. V. Vinodchandran:
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu. - Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. - Charuta Pethe, Allen Kim, Steven Skiena:
Chapter Captor: Text Segmentation in Novels. - Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan:
Distant Supervision for E-commerce Query Segmentation via Attention Network. - Qianzhi Zhang, Yifei Guo, Zhaoyu Wang, Fankun Bu:
Distributed Optimal Conservation Voltage Reduction in Integrated Primary-Secondary Distribution Systems. - Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Synthetic Over-sampling with the Minority and Majority classes for imbalance problems. - Huaiyang Huang, Haoyang Ye, Jianhao Jiao, Yuxiang Sun, Ming Liu:
Geometric Structure Aided Visual Inertial Localization. - Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables. - Mostafa Hussien, Kim Khoa Nguyen, Mohamed Cheriet:
PRVNet: Variational Autoencoders for Massive MIMO CSI Feedback. - Chengkang Shen, Peiyan Wang, Wei Tang:
Two-Stream Appearance Transfer Network for Person Image Generation. - Sooyong Jang, Insup Lee, James Weimer:
Improving Classifier Confidence using Lossy Label-Invariant Transformations. - Xin Zhou, Jiangchao Zhu, Hongyu Zhou, Chao Xu, Fei Gao:
EGO-Swarm: A Fully Autonomous and Decentralized Quadrotor Swarm System in Cluttered Environments. - Takumi Aoki, Shunsuke Kitada, Hitoshi Iyatomi:
Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation. - Naveed Tahir, Garrett E. Katz:
Numerical Exploration of Training Loss Level-Sets in Deep Neural Networks. - Wen Yan, Yicheng Liu:
Micron-level Optimal Obstacle-avoidance Trajectory Planning for a Free-floating Space Robot with Predefined-time Convergence. - Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-Chul Moon:
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. - (Withdrawn) Efficient End-to-End Speech Recognition Using Performers in Conformers.
- Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz:
Detecting Outliers with Foreign Patch Interpolation. - Yurun Tian, Anirudh Sridhar, Osman Yagan, H. Vincent Poor:
Analysis of the Impact of Mask-wearing in Viral Spread: Implications for COVID-19. - Rui Geng, Yixuan Ma, Wanhong Huang:
An improved helmet detection method for YOLOv3 on an unbalanced dataset. - Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme:
NeuralSim: Augmenting Differentiable Simulators with Neural Networks. - Fengli Xu, Quanming Yao, Pan Hui, Yong Li:
Graph Neural Network with Automorphic Equivalence Filters. - Anay Mehrotra, L. Elisa Celis:
Mitigating Bias in Set Selection with Noisy Protected Attributes. - Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal:
Hardness of Approximation of Euclidean k-Median. - Sushmita Bhattacharya, Siva Kailas, Sahil Badyal, Stephanie Gil, Dimitri P. Bertsekas:
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems. - Luca Formaggia, Alessio Fumagalli, Anna Scotti:
A multi-layer reactive transport model for fractured porous media. - Afshin Alipour, Mohammad J. Mahjoob, Zahra Fakhari, Ara Nazarian:
A New 4-DOF Robot for Rehabilitation of Knee and Ankle-Foot Complex: Simulation and Experiment. - Kamalesh Palanisamy, Vivek Khimani, Moin Hussain Moti, Dimitris Chatzopoulos:
SplitEasy: A Practical Approach for Training ML models on Mobile Devices in a split second. - Ruijin Liu, Zejian Yuan, Tie Liu, Zhiliang Xiong:
End-to-end Lane Shape Prediction with Transformers. - Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yanbo Fan, Fumin Shen, Heng Tao Shen:
Dual ResGCN for Balanced Scene GraphGeneration. - Jinhong Jung, Lee Sael:
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach. - A. N. Trahtman:
Polynomial time algorithm for left [right] local testability. - Yik Ben Wong, Yawen Chen, Kam Fai Elvis Tsang, Winnie Suk Wai Leung, Ling Shi:
Upper Extremity Load Reduction for Lower LimbExoskeleton Trajectory Generation Using AnkleTorque Minimization. - Fatemeh Rastgar, Houman Masnavi, Jatan Shrestha, Karl Kruusamäe, Alvo Aabloo, Arun Kumar Singh:
GPU Accelerated Convex Approximations for Fast Multi-Agent Trajectory Optimization. - Shogo Fujita, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura:
Pointing to Subwords for Generating Function Names in Source Code. - Ben Burtenshaw:
AI Stories: An Interactive Narrative System for Children. - Zicong Jiang, Liquan Zhao, Shuaiyang Li, Yanfei Jia:
Real-time object detection method based on improved YOLOv4-tiny. - Lun Quan, Zhiwei Zhang, Chao Xu, Fei Gao:
EVA-Planner: Environmental Adaptive Quadrotor Planning. - Cunhang Fan, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Bin Liu, Zhengqi Wen:
Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition. - Yu Wang, Shu Jiang, Weiman Lin, Yu Cao, Longtao Lin, Jiangtao Hu, Jinghao Miao, Qi Luo:
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment. - Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura:
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. - Aaron Potechin, Goutham Rajendran:
Machinery for Proving Sum-of-Squares Lower Bounds on Certification Problems. - Xiao Gong, Xi Chen, Wei Chen:
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance. - Bastien Vanderplaetse, Stéphane Dupont:
Improved Soccer Action Spotting using both Audio and Video Streams. - Lijian Lin, Haosheng Chen, Yanjie Liang, Yan Yan, Hanzi Wang:
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning. - Dingquan Li, Tingting Jiang, Ming Jiang:
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training. - Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay:
CapWAP: Captioning with a Purpose. - Zhebin Zhang, Sai Wu, Dawei Jiang, Gang Chen:
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention. - Claudio Michaelis, Matthias Bethge, Alexander S. Ecker:
Closing the Generalization Gap in One-Shot Object Detection. - Martin Genzel, Jan MacDonald, Maximilian März:
Solving Inverse Problems With Deep Neural Networks - Robustness Included? - Behrouz Azimian, Reetam Sen Biswas, Anamitra Pal, Lang Tong:
Time Synchronized State Estimation for Incompletely Observed Distribution Systems Using Deep Learning Considering Realistic Measurement Noise. - Ilan Doron-Arad, Hadas Shachnai:
An APTAS for Bin Packing with Clique-graph Conflicts. - Angelica Sofia Valeriani:
Runtime Performances Benchmark for Knowledge Graph Embedding Methods. - Yunkui Pang, Zhiqing Pan, Ruiyang Sun, Shuchong Wang:
Sketch-Inspector: a Deep Mixture Model for High-Quality Sketch Generation of Cats. - M. Tuluhan Akbulut, Utku Bozdogan, Ahmet Ercan Tekden, Emre Ugur:
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization. - Md Atiqul Islam, George C. Alexandropoulos, Besma Smida:
Simultaneous Data Communication and Channel Estimation in Multi-User Full Duplex MIMO Systems. - Shichuan Deng, Qianfan Zhang:
Ordered k-Median with Fault-Tolerance and Robustness. - Ryandhimas E. Zezario, Szu-Wei Fu, Chiou-Shann Fuh, Yu Tsao, Hsin-Min Wang:
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model. - Sarah Bordage, Jade Nardi:
Interactive Oracle Proofs of Proximity to Algebraic Geometry Codes. - Soumava Paul, Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das:
Knowledge Distillation for Singing Voice Detection. - Sandrine Péché, Vianney Perchet:
Robustness of Community Detection to Random Geometric Perturbations. - Kotra Venkata Sai Ritwik, Shareef Babu Kalluri, Deepu Vijayasenan:
COVID-19 Patient Detection from Telephone Quality Speech Data. - Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang:
Learning the Best Pooling Strategy for Visual Semantic Embedding. - Yannick Bukschat, Marcus Vetter:
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach. - Rik van Noord, Antonio Toral, Johan Bos:
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT. - Peter Peresíni, Vladimír Boza, Brona Brejová, Tomás Vinar:
Nanopore Base Calling on the Edge. - Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. - Hsu-Chun Hsiao, Chun-Ying Huang, Bing-Kai Hong, Shin-Ming Cheng, Hsin-Yuan Hu, Chia-Chien Wu, Jian-Sin Lee, Shih-Hong Wang, Wei Jeng:
An Empirical Evaluation of Bluetooth-based Decentralized Contact Tracing in Crowds. - Artur Czumaj, Shaofeng H.-C. Jiang, Robert Krauthgamer, Pavel Veselý:
Streaming Algorithms for Geometric Steiner Forest. - Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht:
Risk Assessment for Machine Learning Models. - Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux:
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling. - Gert-Jan Both, Remy Kusters:
Sparsely constrained neural networks for model discovery of PDEs. - Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. - Wen Wang, Hui Tian, Wanli Ni, Meihui Hua:
Intelligent Reflecting Surface Aided Secure UAV Communications. - Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini:
Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. - Neil K. Chada, Ajay Jasra, Fangyuan Yu:
Multilevel Ensemble Kalman-Bucy Filters. - Tamara Alshammari, Sumudu Samarakoon, Anis Elgabli, Mehdi Bennis:
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization. - Hieu Trong Phung, Anh Tuan Vu, Tung Dinh Nguyen, Lam Thanh Do, Giang Nam Ngo, Trung Thanh Tran, Ngoc C. Lê:
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem. - Siavash Bayat, Ata Khalili, Shayan Zargari, Mohammad Robat Mili, Zhu Han:
Multi-objective Resource Allocation for D2D and Enabled MC-NOMA Networks by Tchebycheff Method. - Sérgio Medeiros, Carlos Olarte:
A Semantic Framework for PEGs. - Daniel Tabas, Baosen Zhang:
Consensus-Based Set-Theoretic Control in Power Systems. - Muhammad Firmansyah Kasim:
Derivatives of partial eigendecomposition of a real symmetric matrix for degenerate cases. - Farhad Nooralahzadeh:
Low-Resource Adaptation of Neural NLP Models. - Christian Lezcano, Marta Arias:
Characterizing Transactional Databases for Frequent Itemset Mining. - Sandro M. Reia, José F. Fontanari:
A SIR epidemic model for citation dynamics. - Hoang-An Le, Thomas Mensink, Partha Das, Sezer Karaoglu, Theo Gevers:
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. - Ziyang Luo:
Catch the "Tails" of BERT. - Hao Wang, Bing Ruan:
MatRec: Matrix Factorization for Highly Skewed Dataset. - Soumajyoti Sarkar:
Bandits in Matching Markets: Ideas and Proposals for Peer Lending. - Sergio Blanes, Mari Paz Calvo, Fernando Casas, Jesús María Sanz-Serna:
Symmetrically processed splitting integrators for enhanced Hamiltonian Monte Carlo sampling. - Jiajing Ling, Kushagra Chandak, Akshat Kumar:
Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems. - Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama:
A Survey of Label-noise Representation Learning: Past, Present and Future. - Taqwa Saeed, Vassos Soteriou, Christos Liaskos, Andreas Pitsillides, Marios Lestas:
Toward Fault-Tolerant Deadlock-Free Routing in HyperSurface-Embedded Controller Networks. - Hanjiang Hu, Baoquan Yang, Weiang Shi, Zhijian Qiao, Hesheng Wang:
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments. - Chidimma Opara, Yingke Chen, Bo Wei:
Look Before You Leap: Detecting Phishing Web Pages by Exploiting Raw URL And HTML Characteristics. - Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le:
Towards Domain-Agnostic Contrastive Learning. - Jiefeng Xu, Evren Gul, Alvin Lim:
Maximizing Store Revenues using Tabu Search for Floor Space Optimization. - Matthew Praeger, Yunhui Xie, James A. Grant-Jacob, Robert W. Eason, Ben Mills:
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments. - Sofia Maria Nikolakaki, Mingxiang Cai, Evimaria Terzi:
Finding teams that balance expert load and task coverage. - Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai:
Interpretable collaborative data analysis on distributed data. - Soumya Tripathy, Juho Kannala, Esa Rahtu:
FACEGAN: Facial Attribute Controllable rEenactment GAN. - Luka Ribar, Rodolphe Sepulchre:
Neuromorphic Control. - Hyojin Park, Ganesh Venkatesh, Nojun Kwak:
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. - Tanvirul Alam, Akib Khan, Firoj Alam:
Bangla Text Classification using Transformers. - Emmanouil Fountoulakis, Nikolaos Pappas, Anthony Ephremides:
Dynamic Power Control for Time-Critical Networking with Heterogeneous Traffic. - Amanda Metzner, Daniel Zwillinger:
Kuhn Poker with Cheating and Its Detection. - Çagla Aksoy, Alper Ahmetoglu, Tunga Güngör:
Hierarchical Multitask Learning Approach for BERT. - Eranga De Saa, Lochandaka Ranathunga:
Comparison between ARIMA and Deep Learning Models for Temperature Forecasting. - Zeyu Guo, Ray Li, Chong Shangguan, Itzhak Tamo, Mary Wootters:
Improved List-Decodability of Reed-Solomon Codes via Tree Packings. - Bin Wang, Runqiu Hu, Shutao Zhang, Zhizheng Zhang:
A Syntactic Approach to Studying Strongly Equivalent Logic Programs. - Nicholas Adrian, Quang-Cuong Pham:
MoboTSP: Solving the Task Sequencing Problem for Mobile Manipulators. - Maria G. Baldeon Calisto, Susana K. Lai-Yuen:
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework. - Emma Rocheteau, Doyoon Kim:
Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs. - Liya Wang, Amy Mykityshyn, Craig Johnson, Benjamin D. Marple:
Deep Learning for Flight Demand and Delays Forecasting. - Hernán Czemerinski, Martín Guillermo Scasso, Fernando Schapachnik:
What's the worth of having a single CS teacher program aimed at teachers with heterogeneous profiles? - Suyoung Lee, Myungsub Choi, Kyoung Mu Lee:
DynaVSR: Dynamic Adaptive Blind Video Super-Resolution. - Olivier Bousquet, Steve Hanneke, Shay Moran, Ramon van Handel, Amir Yehudayoff:
A Theory of Universal Learning. - Matej Hoffmann, Shengzhi Wang, Vojtech Outrata, Elisabet Alzueta, Pablo Lanillos:
Robot in the mirror: toward an embodied computational model of mirror self-recognition. - Jiachen Lian, Aiswarya Vinod Kumar, Hira Dhamyal, Bhiksha Raj, Rita Singh:
Mask Proxy Loss for Text-Independent Speaker Recognition. - Siyu Long, Ran Wang, Kun Tao, Jiali Zeng, Xin-Yu Dai:
Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension. - Yitao Chen, Deepanshu Vasal:
Multi-Agent Decentralized Belief Propagation on Graphs. - Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers:
VisBERT: Hidden-State Visualizations for Transformers. - Kazuaki Tanaka, Taisei Asai:
A posteriori verification of the positivity of solutions to elliptic problems. - Mohsen Ghaffari, Fabian Kuhn:
Deterministic Distributed Vertex Coloring: Simpler, Faster, and without Network Decomposition. - Dongyub Lee, Byeongil Ko, Myeongcheol Shin, Taesun Whang, Daniel Lee, Eun Hwa Kim, EungGyun Kim, Jaechoon Jo:
Auxiliary Sequence Labeling Tasks for Disfluency Detection. - Andre Cleaver, Muhammad Faizan, Hassan Amel, Elaine Short, Jivko Sinapov:
SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction. - Weiqi Ji, Weilun Qiu, Zhiyu Shi, Shaowu Pan, Sili Deng:
Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics. - Natalia Vanetik, Marina Litvak, Sergey Shevchuk, Lior Reznik:
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks. - Hui Cao, Jie Wang, Yuqi Liu, Siyu Zhang, Shen Cai:
Fast Hybrid Cascade for Voxel-based 3D Object Classification. - Frank Stein, Alun D. Preece:
AAAI FSS-20: Artificial Intelligence in Government and Public Sector Proceedings. - Katrin Casel, Tobias Friedrich, Davis Issac, Aikaterini Niklanovits, Ziena Zeif:
Balanced Crown Decomposition for Connectivity Constraints. - Jacek Komorowski:
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition. - Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel:
Learning to Localize in New Environments from Synthetic Training Data. - Gareth Ari Aye, Seohyun Kim, Hongyu Li:
Learning Autocompletion from Real-World Datasets. - Guoguo Chen, Xingyu Na, Yongqing Wang, Zhiyong Yan, Junbo Zhang, Sifan Ma, Yujun Wang:
Data Augmentation For Children's Speech Recognition - The "Ethiopian" System For The SLT 2021 Children Speech Recognition Challenge. - Chiara Marchiori, Douglas Dykeman, Ivan Girardi, Adam Ivankay, Kevin Thandiackal, Mario Zusag, Andrea Giovannini, Daniel Karpati, Henri Saenz:
Artificial Intelligence Decision Support for Medical Triage. - Sarah Meiklejohn, Pavel Kalinnikov, Cindy S. Lin, Martin Hutchinson, Gary Belvin, Mariana Raykova, Al Cutter:
Think Global, Act Local: Gossip and Client Audits in Verifiable Data Structures. - Ece Takmaz, Mario Giulianelli, Sandro Pezzelle, Arabella Sinclair, Raquel Fernández:
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. - Han Wang:
Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism. - Praneeth Kacham, David P. Woodruff:
Reduced-Rank Regression with Operator Norm Error. - Fei Wen, Mian Qin, Paul V. Gratz, A. L. Narasimha Reddy:
FPGA-based Hyrbid Memory Emulation System. - Germán Ruiz Marcos:
Musical analysis of Stravinski's "The Rite of Spring" based on computational methods. - Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. - Hampei Sasahara, Takayuki Ishizaki, Jun-ichi Imura, Henrik Sandberg, Karl Henrik Johansson:
Distributed Design of Glocal Controllers via Hierarchical Model Decomposition. - Pascal Baumann, Rupak Majumdar, Ramanathan S. Thinniyam, Georg Zetzsche:
Context-Bounded Verification of Liveness Properties for Multithreaded Shared-Memory Programs. - Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel:
Neural Spatio-Temporal Point Processes. - Steve Hanneke, Aryeh Kontorovich:
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound. - Ankan Dutta, Arnab Rakshit:
Geometry Perspective Of Estimating Learning Capability Of Neural Networks. - Banafsheh Rafiee:
Testbeds for Reinforcement Learning. - Ece Takmaz, Sandro Pezzelle, Lisa Beinborn, Raquel Fernández:
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. - Johannes Klaus Fichte, Markus Hecher, André Schidler:
Solving the Steiner Tree Problem with few Terminals. - Martin D. Buhmann, Feng Dai, Yeli Niu:
Discretization on high-dimensional domains. - Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Learning Generalizable Physiological Representations from Large-scale Wearable Data. - Julius Berner, Markus Dablander, Philipp Grohs:
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning. - Yu Chen, Jie Chen, Ganesh Krishnamurthi, Huijing Yang, Huahui Wang, Wenjie Zhao:
Deep reinforcement learning for RAN optimization and control. - Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel:
FUN! Fast, Universal, Non-Semantic Speech Embeddings. - Alain Couvreur, Thomas Debris-Alazard, Philippe Gaborit:
On the hardness of code equivalence problems in rank metric. - Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen, Jiri Matas:
Fast Fourier Intrinsic Network. - Lise-Marie Imbert-Gérard, Andrea Moiola, Paul Stocker:
A space-time quasi-Trefftz DG method for the wave equation with piecewise-smooth coefficients. - Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan:
Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations. - Jasan Zughaibi, Matthias Hofer, Raffaello D'Andrea:
A Fast and Reliable Pick-and-Place Application with a Spherical Soft Robotic Arm. - Erik Stammes, Tom F. H. Runia, Michael Hofmann, Mohsen Ghafoorian:
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation. - Mohit Sharma, Jacky Liang, Jialiang Zhao, Alex LaGrassa, Oliver Kroemer:
Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation. - Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik, Chase P. Dowling, Shaunak D. Bopardikar:
Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning. - Svetlana Stoyanchev, Simon Keizer, Rama Doddipatla:
Action State Update Approach to Dialogue Management. - Justin T. Chiu, Alexander M. Rush:
Scaling Hidden Markov Language Models. - Yixue Zhao, Siwei Yin, Adriana Sejfia, Marcelo Schmitt Laser, Haoyu Wang, Nenad Medvidovic:
Assessing the Feasibility of Web-Request Prediction Models on Mobile Platforms. - Thomas Dupriez, Steven Costiou, Stéphane Ducasse:
First Infrastructure and Experimentation in Echo-debugging. - Max Hopkins, Tali Kaufman, Shachar Lovett:
High Dimensional Expanders: Random Walks, Pseudorandomness, and Unique Games. - Bilal Hammoud, Majid Khadiv, Ludovic Righetti:
Impedance Optimization for Uncertain Contact Interactions Through Risk Sensitive Optimal Control. - Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Thompson sampling for linear quadratic mean-field teams. - Baichuan Huang, Shuai D. Han, Abdeslam Boularias, Jingjin Yu:
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal. - Fernando M. Espinoza-Cuadros, Juan M. Perero-Codosero, Javier Antón-Martín, Luis A. Hernández Gómez:
Speaker De-identification System using Autoencodersand Adversarial Training. - Zhiqian Qiao, Jeff Schneider, John M. Dolan:
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning. - Ziming Liu, Max Tegmark:
AI Poincaré: Machine Learning Conservation Laws from Trajectories. - Josiah Coad, Zhiqian Qiao, John M. Dolan:
Safe Trajectory Planning Using Reinforcement Learning for Self Driving. - Uli Fahrenberg, Christian Johansen, Georg Struth, Krzysztof Ziemianksi:
Domain Semirings United. - Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. - Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth:
Ontology-driven Event Type Classification in Images. - Zhongxia Zhang, Meng Wu:
Real-time Locational Marginal Price Forecasting Using Generative Adversarial Network. - Guy Goren, Yoram Moses, Alexander Spiegelman:
Probabilistic Indistinguishability and the Quality of Validity in Byzantine Agreement. - Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi:
Improving Neural Network Training in Low Dimensional Random Bases. - Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec:
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. - Pedro Mendes, Maria Casimiro, Paolo Romano, David Garlan:
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling. - János Végh:
von Neumann's missing "Second Draft": what it should contain. - Dishant Parikh, Shambhavi Aggarwal:
Similarity-Based Clustering for Enhancing Image Classification Architectures. - Paulo H. Oliveira, Daniel S. Kaster, Caetano Traina Jr., Ihab F. Ilyas:
Batchwise Probabilistic Incremental Data Cleaning. - Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu:
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling. - Helei Duan, Jeremy Dao, Kevin Green, Taylor Apgar, Alan Fern, Jonathan W. Hurst:
Learning Task Space Actions for Bipedal Locomotion. - Congzheng Song, Alexander M. Rush, Vitaly Shmatikov:
Adversarial Semantic Collisions. - Henry P. Romero, Mahesh K. Varanasi:
Rate Splitting, Superposition Coding and Binning for Groupcasting over the Broadcast Channel: A General Framework. - Konstantinos A. Mountris, Esther Pueyo:
A dual adaptive explicit time integration algorithm for efficiently solving the cardiac monodomain equation. - Alireza Roshan Ghias, Clint Solomon Mathialagan, Pragaash Ponnusamy, Lambert Mathias, Chenlei Guo:
Personalized Query Rewriting in Conversational AI Agents. - Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Longitudinal modeling of MS patient trajectories improves predictions of disability progression. - Nadir Maaroufi, Mehdi Najib, Mohamed Bakhouya:
Predicting the Future is like Completing a Painting! - Kaleb Ben Naveed, Zhiqian Qiao, John M. Dolan:
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning. - Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Learning to Infer Semantic Parameters for 3D Shape Editing. - Mohamed Salman, Mahesh K. Varanasi:
Diamond Message Set Groupcasting: From an Inner Bound for the DM Broadcast Channel to the Capacity Region of the Combination Network. - Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi:
MUSE: Illustrating Textual Attributes by Portrait Generation. - Philip D. Waggoner:
Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness. - Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff:
Deep Reinforcement Learning for Navigation in AAA Video Games. - Stefan Richthofer, Laurenz Wiskott:
Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis. - Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. - Wenzhong Yan, Ankur Mehta:
Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy for Electromechanical Systems. - Balagopal Komarath, Anurag Pandey, Chengot Sankaramenon Rahul:
Graph Homomorphism Polynomials: Algorithms and Complexity. - Mohamed Karim Belaid:
After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph Generation. - Adam Conkey, Tucker Hermans:
Planning under Uncertainty to Goal Distributions. - Amanda Rios, Laurent Itti:
Lifelong Learning Without a Task Oracle. - Hasan Tanvir, Claudia Kittask, Kairit Sirts:
EstBERT: A Pretrained Language-Specific BERT for Estonian. - Eirik Valseth, Clint Dawson:
An Adaptive Stable Space-Time FE Method for the Shallow Water Equations. - Xianrui Meng, Joan Feigenbaum:
Privacy-Preserving XGBoost Inference. - Pengyu Cheng, Weituo Hao, Lawrence Carin:
Estimating Total Correlation with Mutual Information Bounds. - Zahra Rezaei Khavas, Reza Ahmadzadeh, Paul Robinette:
Modeling Trust in Human-Robot Interaction: A Survey. - Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan:
Attentive Social Recommendation: Towards User And Item Diversities. - Ehsan Sadeghi, Hamid Behroozi, Stefano Rini:
Fairness-Oriented User Association in HetNets Using Bargaining Game Theory. - Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes:
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. - Ricky T. Q. Chen, Dami Choi, Lukas Balles, David Duvenaud, Philipp Hennig:
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering. - Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. - Zih-Yun Chiu, Florian Richter, Emily K. Funk, Ryan K. Orosco, Michael C. Yip:
Bimanual Regrasping for Suture Needles using Reinforcement Learning for Rapid Motion Planning. - Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin:
Encoding Defensive Driving as a Dynamic Nash Game. - Rohan Chandra, Aniket Bera, Dinesh Manocha:
StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories. - Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell:
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. - Alex Tamkin, Dan Jurafsky, Noah D. Goodman:
Language Through a Prism: A Spectral Approach for Multiscale Language Representations. - Ramina Ghods, William J. Durkin, Jeff Schneider:
Multi-Agent Active Search using Realistic Depth-Aware Noise Model. - J. A. Gregor Lagodzinski, Andreas Göbel, Katrin Casel, Tobias Friedrich:
On Counting (Quantum-)Graph Homomorphisms in Finite Fields. - Joaquim Ortiz de Haro, Valentin N. Hartmann, Ozgur S. Oguz, Marc Toussaint:
Learning Efficient Constraint Graph Sampling for Robotic Sequential Manipulation. - Rodger Benham, Alistair Moffat, J. Shane Culpepper:
RMITB at TREC COVID 2020. - Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony:
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment. - Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Shun Iwase, Kris M. Kitani:
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation. - Zahid Abul-Basher, Nikolay Yakovets, Parke Godfrey, Stanley Clark, Mark H. Chignell:
Answer Graph: Factorization Matters in Large Graphs. - Erica Cooper, Xin Wang, Yi Zhao, Yusuke Yasuda, Junichi Yamagishi:
Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis. - Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Ken Goldberg:
Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables. - Ramin Nabati, Hairong Qi:
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection. - Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng:
Multi-document Summarization via Deep Learning Techniques: A Survey. - Shenyi Pan, Shuxian Fan, Samuel W. K. Wong, James V. Zidek, Helge Rhodin:
Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images. - Katsuhito Sudoh, Takatomo Kano, Sashi Novitasari, Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura:
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS. - Jinxin Zhao, Pinxin Long, Liyang Wang, Lingfeng Qian, Feixiang Lu, Xibin Song, Dinesh Manocha, Liangjun Zhang:
AES: Autonomous Excavator System for Real-World and Hazardous Environments. - Filip Maric, Matthew Giamou, Ivan Petrovic, Jonathan Kelly:
Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion. - Srikanth Malla, Chiho Choi, Behzad Dariush:
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast. - Thuy T. Le, Loc H. Nguyen, Thi-Phong Nguyen, William Grayson Powell:
The quasi-reversibility method to numerically solve an inverse source problem for hyperbolic equations. - Akrati Saxena, Harsh Saxena, Ralucca Gera:
Competitive Influence Propagation and Fake News Mitigation in the Presence of Strong User Bias. - Arpita Vats:
Understanding the hand-gestures using Convolutional Neural Networks and Generative Adversial Networks. - Jiaqi Yang, Zhiqiang Huang, Siwen Quan, Qian Zhang, Yanning Zhang, Zhiguo Cao:
On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration. - Yichao Cao, Qingfei Tang, Xiaobo Lu, Fan Li, Jinde Cao:
STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection. - Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang:
Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. - Abduljaleel Al-Rubaye, Gita Sukthankar:
Scoring Popularity in GitHub. - Ayesha Enayet, Gita Sukthankar:
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments. - Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu:
Neural Network Compression Via Sparse Optimization. - Shuting Gu, Ling Lin, Xiang Zhou:
Projection Method for Saddle Points of Energy Functional in H-1 Metric. - Yifan Hou, Matthew T. Mason:
An Efficient Closed-Form Method for Optimal Hybrid Force-Velocity Control. - Zvonimir Pavlinovic, Yusen Su, Thomas Wies:
Data Flow Refinement Type Inference. - Danshi Wang, Zhiguo Zhang, Min Zhang, Meixia Fu, Jin Li, Shanyong Cai, Chunyu Zhang, Xue Chen:
Role of Digital Twin in Optical Communication: Fault Management, Hardware Configuration, and Transmission Simulation. - Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna:
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning. - Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar:
A low latency ASR-free end to end spoken language understanding system. - Qijian Zhang, Runmin Cong, Junhui Hou, Chongyi Li, Yao Zhao:
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection. - Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu:
Dynamic Relay Selection and Power Allocation for Minimizing Outage Probability: A Hierarchical Reinforcement Learning Approach. - Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-dimensional Distributed Service Networks with Applications. - Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver, Annie Melton, Paige Cody, Thomas Huffstutler, Alexander Terwilliger, Martha Tappen, Reed Coil, Gilbert Tostevin:
The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics. - William C. Anderton, Trisha Chakraborty, Maxwell Young:
Windowed Backoff Algorithms for WiFi: Theory and Performance under Batched Arrivals. - Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Feasible Region-based Identification Using Duality (Extended Version). - Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers. - Mingyang Zhang, Linlin Ou:
Stage-wise Channel Pruning for Model Compression. - Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
Spring-Rod System Identification via Differentiable Physics Engine. - Olivier Bernard, Liudi Lu, Jacques Sainte-Marie, Julien Salomon:
Shape optimization of a microalgal raceway to enhance productivity. - N. Annamalai, C. Durairajan:
Linear Codes from Incidence Matrices of Unit Graphs. - Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma:
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. - Chun-Chi Liu, Minghui Xu, Hechuan Guo, Xiuzhen Cheng, Yinhao Xiao, Dongxiao Yu, Bei Gong, Arkady Yerukhimovich, Shengling Wang, Weifeng Lv:
Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things. - Hans-Peter Beise, Steve Dias Da Cruz:
Expressiveness of Neural Networks Having Width Equal or Below the Input Dimension. - Lina Zhao, Eric T. Chung, Eun-Jae Park:
Locking free staggered DG method for the Biot system of poroelasticity on general polygonal meshes. - Ruoyu Sun, Tiantian Fang, Alexander G. Schwing:
Towards a Better Global Loss Landscape of GANs. - Radek Janostik, Jan Konecny, Petr Krajca:
LinCbO: fast algorithm for computation of the Duquenne-Guigues basis. - Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control. - Samir Kumar Mishra, KwangChul Kim:
Selectively Precoded Polar Codes. - Cheng Tan, Chenhao Xie, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li:
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. - Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun:
A Scenario-oriented Approach for Energy-Reserve Joint Procurement and Pricing. - Junaid Ahmed Ansari, Brojeshwar Bhowmick:
Simple means Faster: Real-Time Human Motion Forecasting in Monocular First Person Videos on CPU. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Multi-modal Fusion for Single-Stage Continuous Gesture Recognition. - Yian Zhang, Alex Warstadt, Haau-Sing Li, Samuel R. Bowman:
When Do You Need Billions of Words of Pretraining Data? - Javad Ghareh Chamani, Dimitrios Papadopoulos:
Mitigating Leakage in Federated Learning with Trusted Hardware. - Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh:
Model-based Reinforcement Learning from Signal Temporal Logic Specifications. - Zhaoxia Yin, Hongnian Guo, Yang Du:
Multi-domain Reversible Data Hiding in JPEG. - Stefanus Agus Haryono, Ferdian Thung, David Lo, Julia Lawall, Lingxiao Jiang:
Characterization and Automatic Update of Deprecated Machine-Learning API Usages. - Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He:
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. - Han Cai, Cuiling Fan, Ying Miao, Moshe Schwartz, Xiaohu Tang:
Optimal Locally Repairable Codes: An Improved Bound and Constructions. - Suresh Kirthi Kumaraswamy, Miaojing Shi, Ewa Kijak:
Detecting Human-Object Interaction with Mixed Supervision. - Yifan Xie, Rongfeng Li:
Deconstruct and Reconstruct Dizi Music of the Northern School and the Southern School. - Michail-Antisthenis I. Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz:
Evolving Nano Particle Cancer Treatments with Multiple Particle Types. - Jianhui Chang, Zhenghui Zhao, Chuanmin Jia, Shiqi Wang, Lingbo Yang, Jian Zhang, Siwei Ma:
Conceptual Compression via Deep Structure and Texture Synthesis. - Jaehoon Choi, Dongki Jung, Yonghan Lee, Deokhwa Kim, Dinesh Manocha, Donghwan Lee:
SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments. - Nick Brown:
Exploring the acceleration of Nekbone on reconfigurable architectures. - Maurice Jamieson, Nick Brown:
Benchmarking micro-core architectures for detecting disasters at the edge. - Xianglong Tan, Weijie Lyu, Andre Rosendo:
CircuitBot: Learning to Survive with Robotic Circuit Drawing. - Ying Liang, Jun Zou:
Weak Galerkin Method for Electrical Impedance Tomography. - Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou:
AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Allan Grønlund, Lior Kamma, Kasper Green Larsen:
Margins are Insufficient for Explaining Gradient Boosting. - Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Minho Hwang, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Untangling Dense Knots by Learning Task-Relevant Keypoints. - J. Saketha Nath:
Unbalanced Optimal Transport using Integral Probability Metric Regularization. - Lennart Brocki, Neo Christopher Chung:
Removing Brightness Bias in Rectified Gradients. - Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein:
Joint Super-Resolution and Rectification for Solar Cell Inspection. - Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. - Quynh Ngoc Thi Do, Judith Gaspers, Tobias Röding, Melanie Bradford:
To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding? - Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu:
Neural Latent Dependency Model for Sequence Labeling. - Ángel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez:
Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation. - Lovro Vrcek, Petar Velickovic, Mile Sikic:
A step towards neural genome assembly. - Masaki Yoshii, Ikuko Shimizu:
Point Cloud Registration Based on Consistency Evaluation of Rigid Transformation in Parameter Space. - Wael Jaafar, Shimaa Naser, Sami Muhaidat, Paschalis C. Sofotasios, Halim Yanikomeroglu:
On the Downlink Performance of RSMA-based UAV Communications. - Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller:
AndroEvolve: Automated Android API Update with Data Flow Analysis and Variable Denormalization. - Åsmund Eek, Kristin Ytterstad Pettersen, Else-Line Malene Ruud, Thomas R. Krogstad:
Formation Path Following Control of Underactuated USVs - With Proofs. - Xiatian Zhang, Xunshi He, Nan Wang, Rong Chen:
Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network. - Eleni Mandrali:
A translation of weighted LTL formulas to weighted Büchi automata over ω-valuation monoids. - Paul Escapil-Inchauspé, Carlos Jerez-Hanckes:
Bi-Parametric Operator Preconditioning. - Ishank Juneja, Santosh Fatale, Sharayu Moharir:
Correlated Age-of-Information Bandits. - Ife Adebara, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed:
Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers. - Bennet Cobley, David Boyle:
OnionBot: A System for Collaborative Computational Cooking. - Luan Teylo, Luciana Arantes, Pierre Sens, Lúcia Maria de A. Drummond:
Scheduling Bag-of-Tasks in Clouds using Spot and Burstable Virtual Machines. - Mattia Lecci, Matteo Drago, Andrea Zanella, Michele Zorzi:
Exploiting Scheduled Access Features of mmWave WLANs for Periodic Traffic Sources. - Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart, Luyao Yang, Kyle Buckingham:
Building an Automated and Self-Aware Anomaly Detection System. - Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu:
Human-centric Spatio-Temporal Video Grounding With Visual Transformers. - Zhibin Wang, Jiahang Qiu, Yong Zhou, Yuanming Shi, Liqun Fu, Wei Chen, Khaled B. Letaief:
Federated Learning via Intelligent Reflecting Surface. - Tengyu Xu, Yingbin Liang:
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms. - Bo Li, Sam Leroux, Pieter Simoens:
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video. - Yelyzaveta Meleshko, Oleksandr Drieiev, Anas Mahmoud Al-Oraiqat:
The improved model of user similarity coefficients computation For recommendation systems. - Riku Togashi, Mayu Otani, Shin'ichi Satoh:
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. - Herman Yau, Chris Russell, Simon Hadfield:
What Did You Think Would Happen? Explaining Agent Behaviour Through Intended Outcomes. - Aaron B. Wagner, Johannes Ballé:
Neural Networks Optimally Compress the Sawbridge. - Bertie Ancona, Keren Censor-Hillel, Mina Dalirrooyfard, Yuval Efron, Virginia Vassilevska Williams:
Distributed Distance Approximation. - Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Efficient Algorithms for Stochastic Repeated Second-price Auctions. - Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks. - Christopher Caulcrick, Weiguang Huo, Enrico Franco, Samer Mohammed, Will Hoult, Ravi Vaidyanathan:
Model Predictive Control for Human-Centred Lower Limb Robotic Assistance. - Steinar Laenen, He Sun:
Higher-Order Spectral Clustering of Directed Graphs. - Jonatas B. C. Chagas, Markus Wagner:
A weighted-sum method for solving the bi-objective traveling thief problem. - Troy Lee, Tongyang Li, Miklos Santha, Shengyu Zhang:
On the cut dimension of a graph. - Lei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu, Jiansheng Li, Lorenzo Bruzzone:
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images. - Oleg Balabanov, Laura Grigori:
Randomized Gram-Schmidt process with application to GMRES. - Simon Oh, Antonis F. Lentzakis, Ravi Seshadri, Moshe E. Ben-Akiva:
Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective. - Manh Tuan Do, Noseong Park, Kijung Shin:
Two-stage Training of Graph Neural Networks for Graph Classification. - Anietie Andy, Sharath Guntuku:
Does Social Support Expressed in Post Titles Elicit Comments in Online Substance Use Recovery Forums? - Xavier Franch, Daniel Méndez, Andreas Vogelsang, Rogardt Heldal, Eric Knauss, Marc Oriol, Guilherme H. Travassos, Jeffrey C. Carver, Thomas Zimmermann:
How do Practitioners Perceive the Relevance of Requirements Engineering Research? - Shubham Vatsal, Nikhil Arora, Gopi Ramena, Sukumar Moharana, Dhruval Jain, Naresh Purre, Rachit S. Munjal:
On-Device Language Identification of Text in Images using Diacritic Characters. - Alp Sahin, Xiangrui Zeng:
Feedback-Based Dynamic Feature Selection for Constrained Continuous Data Acquisition. - Mostafa Khalaji:
TRSM-RS: A Movie Recommender System Based on Users' Gender and New Weighted Similarity Measure. - Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu:
Self-supervised Graph Representation Learning via Bootstrapping. - Juan Felipe Hernandez Albarracin, Rafael S. Oliveira, Marina Hirota, Jefersson A. dos Santos, Ricardo da Silva Torres:
A Soft Computing Approach for Selecting and Combining Spectral Bands. - Srivamshi Pittala, William Koehler, Jonathan Deans, Daniel Salinas, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu:
Relation-weighted Link Prediction for Disease Gene Identification. - Domonkos Varga:
Multi-pooled Inception features for no-reference image quality assessment. - Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu:
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration. - José Pinto, Carlos Jerez-Hanckes:
Fast Galerkin Method for Solving Helmholtz Boundary Integral Equations on Screens. - Muhammad Mohsin Kabir, Abu Quwsar Ohi, Muhammad Firoz Mridha:
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network. - Elisa Gugliotta, Marco Dinarelli, Olivier Kraif:
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation. - S. Rahimi Kari:
Principles of Stochastic Computing: Fundamental Concepts and Applications. - Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Bridging the Performance Gap between FGSM and PGD Adversarial Training. - Pablo Samuel Castro:
GANterpretations. - Jesmin Jahan Tithi, Fabrizio Petrini, Hongbo Rong, Andrei Valentin, Carl Ebeling:
Mapping Stencils on Coarse-grained Reconfigurable Spatial Architecture. - Sandeep D'Souza, Victor Bahl, Lixiang Ao, Landon P. Cox:
Amadeus: Scalable, Privacy-Preserving Live Video Analytics. - Arthur Clavière, Eric Asselin, Christophe Garion, Claire Pagetti:
Safety Verification of Neural Network Controlled Systems. - Daniel Rodriguez-Criado, Pilar Bachiller, Luis J. Manso:
Generation of Human-aware Navigation Maps using Graph Neural Networks. - Franziska Eberle, Ruben Hoeksma, Nicole Megow, Lukas Nölke, Kevin Schewior, Bertrand Simon:
Speed-Robust Scheduling. - Jupinder Parmar, William Koehler, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu:
Biomedical Information Extraction for Disease Gene Prioritization. - Seong Min Kye, Joon Son Chung, Hoirin Kim:
Supervised attention for speaker recognition. - Jean-Romain Luttringer, Thomas Alfroy, Pascal Mérindol, Quentin Bramas, François Clad, Cristel Pelsser:
Computing Delay-Constrained Least-Cost Paths for Segment Routing is Easier Than You Think. - Xinbo Geng, Lang Tong, Anirban Bhattacharya, Bani K. Mallick, Le Xie:
Probabilistic Hosting Capacity Analysis via Bayesian Optimization. - Jayaraj Poroor:
MotePy: A domain specific language for low-overhead machine learning and data processing. - Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs. - Gabriele Sarti:
UmBERTo-MTSA @ AcCompl-It: Improving Complexity and Acceptability Prediction with Multi-task Learning on Self-Supervised Annotations. - Beatriz Soret, Israel Leyva-Mayorga, Stefano Cioni, Petar Popovski:
5G satellite networks for IoT: offloading and backhauling. - Rémi Ronfard, Rémi Colin de Verdière:
OpenKinoAI: An Open Source Framework for Intelligent Cinematography and Editing of Live Performances. - Zekarias T. Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh, Alberto Montresor:
Dynamic Embeddings for Interaction Prediction. - Birgitta Dresp-Langley, John Mwangi Wandeto:
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data. - Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. - Ruitao Feng, Jing Qiang Lim, Sen Chen, Shang-Wei Lin, Yang Liu:
SeqMobile: A Sequence Based Efficient Android Malware Detection System Using RNN on Mobile Devices. - Michal J. Gajda:
Curious properties of latency distributions. - Antun Skuric, Vincent Padois, David Daney:
On-line force capability evaluation based on efficient polytope vertex search. - Théo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger:
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition. - Pantelis Pappas, Manolis Chiou, Georgios-Theofanis Epsimos, Grigoris Nikolaou, Rustam Stolkin:
VFH+ based shared control for remotely operated mobile robots. - Keith Harrigian, Carlos Aguirre, Mark Dredze:
On the State of Social Media Data for Mental Health Research. - Oren Becker, Alexander Lubotzky, Jonathan Mosheiff:
Stability and testability: equations in permutations. - Jannis Blauth, Vera Traub, Jens Vygen:
Improving the Approximation Ratio for Capacitated Vehicle Routing. - Wietse M. Boon, Miroslav Kuchta, Kent-André Mardal, Ricardo Ruiz-Baier:
Robust preconditioners for perturbed saddle-point problems and conservative discretizations of Biot's equations utilizing total pressure. - Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj:
Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks. - Nobuko Yoshida, Simon Castellan, Léo Stefanesco:
Game Semantics: Easy as Pi. - David Owen, José Camacho-Collados, Luis Espinosa Anke:
Towards Preemptive Detection of Depression and Anxiety in Twitter. - Yongwei Wang, Mingquan Feng, Rabab Ward, Z. Jane Wang, Lanjun Wang:
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification. - Shweta Yadav, Vishal Pallagani, Amit P. Sheth:
Medical Knowledge-enriched Textual Entailment Framework. - Mohammadreza Baharani, Steven Furgurson, Babak Parkhideh, Hamed Tabkhi:
ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge. - Chaoyun Zhang:
Deep Neural Mobile Networking. - Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. - Jiazhen Zhou, Dawei Sun, Inseok Hwang, Dengfeng Sun:
Control Protocol Design and Analysis for Unmanned Aircraft System Traffic Management. - Di Deng, Zhefan Xu, Wenbo Zhao, Kenji Shimada:
Coordinated Aerial-Ground Robot Exploration via Monte-Carlo View Quality Rendering. - Aymeric Vié:
Qualities, challenges and future of genetic algorithms: a literature review. - Yu Qi, Zhaolan Zheng:
A review of neural network algorithms and their applications in supercritical extraction. - Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. - Sidhdharth Sikka, Harshvardhan Sikka:
A Genetic Algorithm Based Approach for Satellite Autonomy. - Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal:
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara. - Tirth Shah, Lukas Olson, Aditya Sharma, Nirmal Patel:
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer? - Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine:
Continual Learning of Control Primitives: Skill Discovery via Reset-Games. - Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K. Patro:
Two-Sided Fairness in Non-Personalised Recommendations. - Di Deng, Zhefan Xu, Wenbo Zhao, Kenji Shimada:
Frontier-based Automatic-differentiable Information Gain Measure for Robotic Exploration of Unknown 3D Environments. - Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun:
Learning to Communicate and Correct Pose Errors. - Arnur Nigmetov, Aditi S. Krishnapriyan, Nicole Sanderson, Dmitriy Morozov:
Topological Regularization via Persistence-Sensitive Optimization. - Varsha V, Aditya Murthy, Radhakant Padhi:
A Stochastic Optimal Control Model with Internal Feedback and Velocity Tracking for Saccades. - Phong Le, Willem H. Zuidema:
DoLFIn: Distributions over Latent Features for Interpretability. - Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach:
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. - Chang Liu, Wenzhong Yan, Ankur Mehta:
Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications. - Eda Bayram, Alberto García-Durán, Robert West:
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation. - Stefanos Antaris, Dimitrios Rafailidis, Mohammad Aliannejadi:
On Estimating the Training Cost of Conversational Recommendation Systems. - Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramèr:
An Attack on InstaHide: Is Private Learning Possible with Instance Encoding? - Rui Chen, Jinxin Zhao, Liangjun Zhang:
Grounding Implicit Goal Description for Robot Indoor Navigation Via Recursive Belief Update. - Deepak Sirone Jegan, Liang Wang, Siddhant Bhagat, Thomas Ristenpart, Michael M. Swift:
Guarding Serverless Applications with SecLambda. - Di Deng, Runlin Duan, Jiahong Liu, Kuangjie Sheng, Kenji Shimada:
Robotic Exploration of Unknown 2D Environment Using a Frontier-based Automatic-Differentiable Information Gain Measure. - Xubo Yue, Maher Nouiehed, Raed Al Kontar:
SALR: Sharpness-aware Learning Rates for Improved Generalization. - Dalong Shi, Xiang Fang, Florian Holzapfel:
Polynomial Chaos-Based Flight Control Optimization with Guaranteed Probabilistic Performance. - Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates:
Adaptive Community Search in Dynamic Networks. - Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns:
Discrete solution pools and noise-contrastive estimation for predict-and-optimize. - Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, François Brémond:
Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos. - Fernando Gama, Somayeh Sojoudi:
Graph Neural Networks for Distributed Linear-Quadratic Control. - Dalong Shi, Florian Holzapfel:
Rare-Event Chance-Constrained Flight Control Optimization Using Surrogate-Based Subset Simulation. - Hanjun Dai, Rishabh Singh, Bo Dai, Charles Sutton, Dale Schuurmans:
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. - Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum:
Learning ODE Models with Qualitative Structure Using Gaussian Processes. - Sally Dong, Yin Tat Lee, Guanghao Ye:
A Nearly-Linear Time Algorithm for Linear Programs with Small Treewidth: A Multiscale Representation of Robust Central Path. - Samar Haider, Luca Luceri, Ashok Deb, Adam Badawy, Nanyun Peng, Emilio Ferrara:
Detecting Social Media Manipulation in Low-Resource Languages. - Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar:
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. - Lukas Platinsky, Michal Szabados, Filip Hlasek, Ross Hemsley, Luca Del Pero, Andrej Pancik, Bryan Baum, Hugo Grimmett, Peter Ondruska:
Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps. - Romana Boiger, A. Leitao, Benar Fux Svaiter:
Range-relaxed criteria for choosing the Lagrange multipliers in nonstationary iterated Tikhonov method. - Bowen Baker:
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences. - Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú, Ayse Basar, Antonio González Torres:
Wayback Machine: Capturing the evolutionary behaviour of the bug dependency graph in open-source software systems. - Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns:
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment. - Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier:
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. - Erik Burman, Peter Hansbo, Mats G. Larson:
Explicit Time Stepping for the Wave Equation using CutFEM with Discrete Extension. - Dana Fisman, Hadar Frenkel, Sandra Zilles:
On the Complexity of Symbolic Finite-State Automata. - Toshi Ikeya, Masaki Aida:
Closed-Form Solutions of the Fundamental Equation That Describes User Dynamics in Online Social Networks. - Masaki Aida, Ayako Hashizume, Chisa Takano, Masayuki Murata:
Polarization Model of Online Social Networks Based on the Concept of Spontaneous Symmetry Breaking. - Samuel Chevalier, Luca Schenato, Luca Daniel:
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction. - Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu:
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training. - Shruti Rijhwani, Antonios Anastasopoulos, Graham Neubig:
OCR Post Correction for Endangered Language Texts. - Tomoya Kinoshita, Masaki Aida:
A New Model of Flaming Phenomena in Online Social Networks that Considers Resonance Driven by External Stimuli. - Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo:
Privacy Preservation in Federated Learning: Insights from the GDPR Perspective. - Calton Pu, Abhijit Suprem, Rodrigo Alves Lima:
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media. - Jonathan Leake, Colin S. McSwiggen, Nisheeth K. Vishnoi:
A Polynomial-Time Algorithm and Applications for Matrix Sampling from Harish-Chandra-Itzykson-Zuber Densities. - Julian Nubert, Shehryar Khattak, Marco Hutter:
Self-supervised Learning of LiDAR Odometry for Robotic Applications. - Juan E. Machado, Michele Cucuzzella, Jacquelien M. A. Scherpen:
Modeling and Passivity Properties of District Heating Systems. - Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton:
Using GANs to Synthesise Minimum Training Data for Deepfake Generation. - Steve Kommrusch, Marcos Horro, Louis-Noël Pouchet, Gabriel Rodríguez, Juan Touriño:
Coherence Traffic in Manycore Processors with Opaque Distributed Directories. - Maegan Tucker, Noel Csomay-Shanklin, Wen-Loong Ma, Aaron D. Ames:
Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots. - Dmitriy Y. Anistratov:
Nonlinear Iterative Projection Methods with Multigrid in Photon Frequency for Thermal Radiative Transfer. - Julius Adebayo, Michael Muelly, Ilaria Liccardi, Been Kim:
Debugging Tests for Model Explanations. - Nikolaos Stylianou, Ioannis P. Vlahavas:
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks. - Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp:
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering. - Arthur Bucker, Rogerio Bonatti, Sebastian A. Scherer:
Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography. - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers. - Sheng Lei, Alexander J. Flueck:
Transient Simulation of Grid-Feeding Converter System for Stability Studies Using Frequency Response Optimized Integrators. - Yasas Senarath, Saideep Nannapaneni, Hemant Purohit, Abhishek Dubey:
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion. - Hiroshi Watanabe, Kenji Saito, Satoshi Miyazaki, Toshiharu Okada, Hiroyuki Fukuyama, Tsuneo Kato, Katsuo Taniguchi:
Proof of Authenticity of Logistics Information with Passive RFID Tags and Blockchain. - Angela Fan, Claire Gardent:
Multilingual AMR-to-Text Generation. - Sneha Aenugu:
Perturbation-based exploration methods in deep reinforcement learning. - Angela Fan, Aleksandra Piktus, Fabio Petroni, Guillaume Wenzek, Marzieh Saeidi, Andreas Vlachos, Antoine Bordes, Sebastian Riedel:
Generating Fact Checking Briefs. - Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
From Unsupervised Machine Translation To Adversarial Text Generation. - Tobias Hartung, Karl Jansen, Frances Y. Kuo, Hernan Leövey, Dirk Nuyens, Ian H. Sloan:
Lattice meets lattice: Application of lattice cubature to models in lattice gauge theory. - Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard:
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming. - Juntao Tan, Changkyu Song, Abdeslam Boularias:
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs. - Gasper Begus:
Artificial sound change: Language change and deep convolutional neural networks in iterative learning. - Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Teaching deep learning causal effects improves predictive performance. - Vedat Levi Alev, Fernando Granha Jeronimo, Dylan Quintana, Shashank Srivastava, Madhur Tulsiani:
List Decoding of Direct Sum Codes. - Ronny Ramlau, Kirk M. Soodhalter, Victoria Hutterer:
Subspace Recycling-based Regularization Methods. - Seyed Amin Fadaee, Maryam Amir Haeri:
Multi-Label Classification Using Link Prediction. - Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng:
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery. - Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György J. Simon:
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus. - Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, Kim M. Hazelwood:
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale. - Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmalek, Florian Golemo, Aaron C. Courville:
Unsupervised Learning of Dense Visual Representations. - Fernando Granha Jeronimo, Dylan Quintana, Shashank Srivastava, Madhur Tulsiani:
Unique Decoding of Explicit ε-balanced Codes Near the Gilbert-Varshamov Bound. - Luís Fernando Schultz Xavier da Silveira, Michiel Smid:
An Instance-Based Algorithm for Deciding the Bias of a Coin. - Antoine Nzeyimana:
Morphological Disambiguation from Stemming Data. - Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult:
Automatic Open-World Reliability Assessment. - Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao:
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. - Yingtao Luo, Xuefeng Zhu:
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures. - Alejandro Escontrela, George Yu, Peng Xu, Atil Iscen, Jie Tan:
Zero-Shot Terrain Generalization for Visual Locomotion Policies. - Ying-Tao Luo, Peng-Qi Li, Dong-Ting Li, Yu-Gui Peng, Zhi-Guo Geng, Shu-Huan Xie, Yong Li, Andrea Alù, Jie Zhu, Xue Feng Zhu:
Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures. - Dilusha Weeraddana, Nguyen Lu Dang Khoa, Lachlan O'Neil, Weihong Wang, Chen Cai:
Energy consumption forecasting using a stacked nonparametric Bayesian approach. - Shang Jiang, Haoran Qin, Bingli Zhang, Jieyu Zheng:
Optimized Loss Functions for Object detection: A Case Study on Nighttime Vehicle Detection. - Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu:
On-The-Fly Control of Unknown Systems: From Side Information to Performance Guarantees through Reachability. - Junwei Zhang, Zhenghao Zhang, Shuai Han, Shuai Lü:
Proximal Policy Optimization via Enhanced Exploration Efficiency. - Volodymyr Shyianov, Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode. - Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr:
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. - Bailey Vandehei, Daniel Alencar da Costa, Davide Falessi:
Leveraging the Defects Life Cycle to Label Affected Versions and Defective Classes. - Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward:
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop. - Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen:
Differentially Private Synthetic Data: Applied Evaluations and Enhancements. - Shiguang Liu, Dinesh Manocha:
Sound Synthesis, Propagation, and Rendering: A Survey. - Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts:
Learning Agile Locomotion Skills with a Mentor. - Yiren Liu, Kuan-Ying Lee:
E-commerce Query-based Generation based on User Review. - Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar:
Identifying Properties of Real-World Optimisation Problems through a Questionnaire. - Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Jeffrey F. Naughton, Stratis Viglas:
Comprehensive and Efficient Workload Compression. - Abhishek Madan, Alec Jacobson, David I. W. Levin:
Diffusion Structures for Architectural Stripe Pattern Generation. - Jagadeesh M. S., Alphonse P. J. A.:
NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets. - Alice Xue:
End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks. - Hao Xue, Flora D. Salim:
TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction. - Pasin Manurangsi, Aviad Rubinstein, Tselil Schramm:
The Strongish Planted Clique Hypothesis and Its Consequences. - Dingkang Wang, Yusu Wang:
Ordinally Consensus Subset over Multiple Metrics. - Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Intentonomy: a Dataset and Study towards Human Intent Understanding. - Tarik Kelestemur, Colin Keil, John P. Whitney, Robert Platt, Taskin Padir:
Learning Bayes Filter Models for Tactile Localization. - Colin Daly:
An application of an Embedded Model Estimator to a synthetic non-stationary reservoir model with multiple secondary variables. - Benjamin J. Chasnov, Daniel J. Calderone, Behçet Açikmese, Samuel A. Burden, Lillian J. Ratliff:
Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces. - Abhishek Sinha, Rajarshi Bhattacharjee:
Optimizing the Age-of-Information for Mobile Users in Adversarial and Stochastic Environments. - Karan P. Jain, Minos Park, Mark W. Mueller:
Docking two multirotors in midair using relative vision measurements. - Hamed Khorasgani, Haiyan Wang, Chetan Gupta:
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. - Avraham N. Trahtman:
Some new Features and Algorithms for the Study of DFA. - Francesco Bonaldi, Konstantin Brenner, Jérôme Droniou, Roland Masson, Antoine Pasteau, Laurent Trenty:
Gradient discretization of two-phase poro-mechanical models with discontinuous pressures at matrix fracture interfaces. - Penny Chong, Yuval Elovici, Alexander Binder:
Deja vu from the SVM Era: Example-based Explanations with Outlier Detection. - Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Compression Boosts Differentially Private Federated Learning. - Jonathan Boigne, Biman Liyanage, Ted Östrem:
Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning. - Xiaowen Cao, Guangxu Zhu, Jie Xu, Shuguang Cui:
Optimized Power Control for Over-the-Air Federated Edge Learning. - Alexey N. Averkin, Sergey Yarushev:
Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems. - Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen, Leichao Song:
Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning. - Prithvi Suresh, Abhijith Ragav:
WaDeNet: Wavelet Decomposition based CNN for Speech Processing. - Harry Giles, Lawrence Chan:
Accounting for Human Learning when Inferring Human Preferences. - Marija Markovic, Amirhossein Sajadi, Anthony Florita, Robert Cruickshank III, Bri-Mathias S. Hodge:
Voltage Estimation in Low-Voltage Distribution Grids with Distributed Energy Resources. - Will Crichton:
Documentation Generation as Information Visualization. - Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye:
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach. - Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. - Sivanathan Kandhasamy, Vinayagam Babu Kuppusamy, Tanmay Vilas Samak, Chinmay Vilas Samak:
Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning. - Giulio Rossetti, Letizia Milli, Salvatore Citraro, Virginia Morini:
UTLDR: an agent-based framework for modeling infectious diseases and public interventions. - Ian Rogers:
Efficient global register allocation. - Christina Boucher, Travis Gagie, Tomohiro I, Dominik Köppl, Ben Langmead, Giovanni Manzini, Gonzalo Navarro, Alejandro Pacheco, Massimiliano Rossi:
PHONI: Streamed Matching Statistics with Multi-Genome References. - Jin Zhang, Xiaowei Liu:
Convergence of a finite element method on a Bakhvalov-type mesh for a singularly perturbed convection-diffusion equation in 2D. - Anas M. Salhab:
Performance Analysis of RIS-Assisted Source Mixed RF/FSO Relay Networks. - Jiangcheng Qin, Baisong Liu:
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning. - Yeong-Jia Roger Chu, Ting-Han Wei, Jin-Bo Huang, Yuan-Hao Chen, I-Chen Wu:
Sim-To-Real Transfer for Miniature Autonomous Car Racing. - Anas M. Salhab:
Interference Impact on Decode-and-Forward Relay Networks with RIS-Assisted Source and Relays. - Zhiyi Pan, Peng Jiang, Changhe Tu:
Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace. - Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu:
Robust Reinforcement Learning for General Video Game Playing. - Qianru Zhou, Alasdair J. G. Gray, Dimitrios Pezaros, Stephen McLaughlin:
SARA - A Semantic Access Point Resource Allocation Service for Heterogenous Wireless Networks. - Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu:
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. - Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Segmentation via Background Inpainting. - Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo:
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. - Jin Zhang, Yanhui Lv:
Finite element method on a Bakhvalov-type mesh for a singularly perturbed problem with two parameters. - Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, Shivin Devgon, Ken Goldberg:
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects. - Tingting Chen, Xiande Zhang:
Sparse and Balanced MDS Codes over Small Fields. - Yu Lin, Lishuai Li, Pan Ren, Yanjun Wang, W. Y. Szeto:
From Aircraft Tracking Data to Network Delay Model: A Data-Driven Approach Considering En-Route Congestion. - Hongfeng Li:
Semi-supervised Sparse Representation with Graph Regularization for Image Classification. - Giuseppe Pirrò:
Toward Edge-Centric Network Embeddings. - Mauricio Perez, Jun Liu, Alex C. Kot:
Skeleton-based Relational Reasoning for Group Activity Analysis. - Martin Herrmann, Aldi Piroli, Jan Strohbeck, Johannes Müller, Michael Buchholz:
LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association. - Han Yu Li, Michael Danielczuk, Ashwin Balakrishna, Vishal Satish, Ken Goldberg:
Accelerating Grasp Exploration by Leveraging Learned Priors. - Yuanqiang Zhou, Dewei Li, Furong Gao:
Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions. - Stefanos Antaris, Dimitrios Rafailidis:
Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation. - Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. - Rebecca König, Bertram Drost:
A Hybrid Approach for 6DoF Pose Estimation. - Zhuo Zheng, Yanfei Zhong, Ailong Ma, Liangpei Zhang:
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification. - Stefanos Antaris, Dimitrios Rafailidis:
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions. - Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera:
Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts. - Lars Rohwedder, Andreas Wiese:
A (2+ε)-approximation algorithm for preemptive weighted flow time on a single machine. - Francesc Serratosa:
Security in biometric systems. - Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. - Sutanu Bera, Prabir Kumar Biswas:
Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising. - Elisa Bassignana, Malvina Nissim, Viviana Patti:
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian. - Renata G. Raidou, M. Eduard Gröller, Hsiang-Yun Wu:
Slice and Dice: A Physicalization Workflow for Anatomical Edutainment. - Sven Baars, Jan Viebahn, Thomas E. Mulder, Christian Kuehn, Fred W. Wubs, Henk A. Dijkstra:
Continuation of Probability Density Functions using a Generalized Lyapunov Approach. - Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani:
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. - Lehel Banjai, Jens Markus Melenk, Christoph Schwab:
Exponential Convergence of hp FEM for Spectral Fractional Diffusion in Polygons. - Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao:
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization. - Robin Delabays, Melvyn Tyloo:
Heavy-tailed distribution of the number of publications within scientific journals. - Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. - Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events. - Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso, Farah Benamara:
Multilingual Irony Detection with Dependency Syntax and Neural Models. - Zehong Lin, Suzhi Bi, Ying-Jun Angela Zhang:
Optimizing AI Service Placement and Resource Allocation in Mobile Edge Intelligence Systems. - Aleksander Mendoza-Drosik:
Nondeterministic functional transducer inference algorithm. - Alex C. Keizer, Henning Basold, Jorge A. Pérez:
Session Coalgebras: A Coalgebraic View on Session Types and Communication Protocols. - Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter:
Reinforcement Learning with Time-dependent Goals for Robotic Musicians. - Stefan Dernbach, Don Towsley:
Filtered Manifold Alignment. - Teguh Santoso Lembono, Emmanuel Pignat, Julius Jankowski, Sylvain Calinon:
Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning. - Tobias Scheck, Roman Seidel, Gangolf Hirtz:
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning. - Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. - Tobias Scheck, Ana Pérez Grassi, Gangolf Hirtz:
A CNN-based Feature Space for Semi-supervised Incremental Learning in Assisted Living Applications. - Steffen Czolbe, Oswin Krause, Aasa Feragen:
DeepSim: Semantic similarity metrics for learned image registration. - Mirjana Brdar, Goran Radojev, Hans-Görg Roos, Ljiljana Teofanov:
Superconvergence analysis of FEM and SDFEM on graded meshes for a problem with characteristic layers. - Sven Baars, Mark van der Klok, Jonas Thies, Fred W. Wubs:
A staggered-grid multilevel incomplete LU for steady incompressible flows. - Araceli Morales, Gemma Piella, Federico M. Sukno:
Survey on 3D face reconstruction from uncalibrated images. - Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. - Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou:
Learning User Representations with Hypercuboids for Recommender Systems. - Yitao Cai, Xiaojun Wan:
IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation. - Hao Wen, Xiongjie Chen, Georgios Papagiannis, Conghui Hu, Yunpeng Li:
End-To-End Semi-supervised Learning for Differentiable Particle Filters. - Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler:
Finding Relevant Flood Images on Twitter using Content-based Filters. - Koosha Zarei, Damilola Ibosiola, Reza Farahbakhsh, Zafar Gilani, Kiran Garimella, Noël Crespi, Gareth Tyson:
Characterising and Detecting Sponsored Influencer Posts on Instagram. - James David Hackman:
Forget-me-block: Exploring digital preservation strategies using Distributed Ledger Technology in the context of personal information management. - Jannat Tumpa, Riddhiman Adib, Dipranjan Das, Nathalie Abenoza, Andrew Zolot, Velinka Medic, Judy Kim, Al Castro, Mirtha Sosa Pacheco, Jay Romant, Sheikh Iqbal Ahamed:
mTOCS: Mobile Teleophthalmology in Community Settings to improve Eye-health in Diabetic Population. - Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu:
Simulating Autonomous Driving in Massive Mixed Urban Traffic. - Volker Turau:
Synchronous Concurrent Broadcasts for Intermittent Channels with Bounded Capacities. - Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon:
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic. - Maria Bekcheva:
Constraints on Nonlinear Finite Dimensional Flat Systems. - Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff:
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. - Elaine Schaertl Short, Dale Short, Yifeng Fu, Maja J. Mataric:
SPRITE: Stewart Platform Robot for Interactive Tabletop Engagement. - Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Learned Equivariant Rendering without Transformation Supervision. - S. D. Pogorilyy, A. A. Kramov:
Assessment of text coherence based on the cohesion estimation. - Rachel Gehlhar, Aaron D. Ames:
Model-Dependent Prosthesis Control with Interaction Force Estimation. - (Withdrawn) Software Framework for Testing of Automated Driving Systems in a Dynamic Traffic Environment.
- Debanjan Datta:
Small Survey Event Detection. - Maiia V. Marienko, Yuliya Nosenko, Mariya Shyshkina:
Personalization of learning using adaptive technologies and augmented reality. - Padraig Corcoran, Bailin Deng:
Regularization of Persistent Homology Gradient Computation. - Mashnoon Islam, Redwanul Karim, Kalyan Roy, Saif Mahmood, Sadat Hossain, Rashedur M. Rahman:
Crime Prediction Using Multiple-ANFIS Architecture and Spatiotemporal Data. - Maryam Edalati:
The Potential of Machine Learning and NLP for Handling Students' Feedback (A Short Survey). - Jason M. Pittman, Ashlyn Hanks:
Detecting Synthetic Phenomenology in a Contained Artificial General Intelligence. - Alessandro Sebastianelli, Francesco Mauro, Gianluca Di Cosmo, Fabrizio Passarini, Marco Carminati, Silvia Liberata Ullo:
AIRSENSE-TO-ACT: A Concept Paper for COVID-19 Countermeasures based on Artificial Intelligence algorithms and multi-sources Data Processing. - Fabian Scheller, Robert Burkhardt, Robert Schwarzeit, Russell McKenna, Thomas Bruckner:
Competition between simultaneous demand-side flexibility options: The case of community electricity storage systems. - Lorenzo Pareschi, Thomas Rey:
On the stability of equilibrium preserving spectral methods for the homogeneous Boltzmann equation. - Stefan Lionar, Daniil Emtsev, Dusan Svilarkovic, Songyou Peng:
Dynamic Plane Convolutional Occupancy Networks. - Zhanqiu Zhang, Jianyu Cai, Jie Wang:
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. - Arda Inceoglu, Eren Erdal Aksoy, Abdullah Cihan Ak, Sanem Sariel:
FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection. - Tobias Scheck, Adarsh Mallandur, Christian Wiede, Gangolf Hirtz:
Where to drive: free space detection with one fisheye camera. - Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer:
Semi-Structured Deep Piecewise Exponential Models. - Pascal Baumann, Rupak Majumdar, Ramanathan S. Thinniyam, Georg Zetzsche:
The complexity of bounded context switching with dynamic thread creation. - Martin Lindström, Hampei Sasahara, Xingkang He, Henrik Sandberg, Karl Henrik Johansson:
Power Injection Attacks in Smart Distribution Grids with Photovoltaics. - Nicolas Tempelmeier, Elena Demidova:
Linking OpenStreetMap with Knowledge Graphs - Link Discovery for Schema-Agnostic Volunteered Geographic Information. - Bowen Li, Jun Zou:
On a general matrix valued unbalanced optimal transport and its fully discretization: dynamic formulation and convergence framework. - Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
A Survey and Implementation of Performance Metrics for Self-Organized Maps. - Perry Deng, Mohammad Saidur Rahman, Matthew Wright:
Detecting Adversarial Patches with Class Conditional Reconstruction Networks. - Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand:
Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning. - Birgitta Dresp-Langley:
Wearable Sensors for Individual Grip Force Profiling. - Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. - Yaxing Wang, Lu Yu, Joost van de Weijer:
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. - Tengyu Xu, Yingbin Liang, Guanghui Lan:
A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis. - A. Leitao, Benar Fux Svaiter:
On projective Landweber-Kaczmarz methods for solving systems of nonlinear ill-posed equations. - Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers:
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults. - Gajraj Kuldeep, Qi Zhang:
Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT. - Zeyu Guo, Noga Ron-Zewi:
Efficient List-Decoding with Constant Alphabet and List Sizes. - Xinjian Huang, Weiwei Liu, Bo Du:
Matrix Completion with Noise via Leveraged Sampling. - Gajraj Kuldeep, Qi Zhang:
Compressive Sensing based Multi-class Privacy-preserving Cloud Computing. - A. Leitao, Fábio Margotti, Benar Fux Svaiter:
Range-relaxed criteria for choosing the Lagrange multipliers in the Levenberg-Marquardt method. - Vinayaka R. Kamath, Vishal S, Varun M:
Transferred Fusion Learning using Skipped Networks. - Yuanyuan Tang, Farzad Farnoud:
Error-correcting Codes for Short Tandem Duplication and Substitution Errors. - Daksha Yadav, Naman Kohli, Mayank Vatsa, Richa Singh, Afzel Noore:
Age Gap Reducer-GAN for Recognizing Age-Separated Faces. - Zhichuang Sun, Ruimin Sun, Long Lu, Somesh Jha:
ShadowNet: A Secure and Efficient System for On-device Model Inference. - Chung Hoon Hong, Yuan Liang, Sagnik Sinha Roy, Arushi Jain, Vihang Agarwal, Ryan Draves, Zhizhuo Zhou, William Chen, Yujian Liu, Martha Miracky, Lily Ge, Nikola Banovic, David Jurgens:
Audrey: A Personalized Open-Domain Conversational Bot. - Lucy Havens, Melissa Terras, Benjamin Bach, Beatrice Alex:
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research. - Shuvrangshu Jana, M. Seetharama Bhat:
Improvement of plant performance using Closed loop Reference Model Simple Adaptive Control for Micro Air Vehicle. - Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim, Mung Chiang, Chunyi Peng, Saurabh Bagchi:
I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing. - Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard, Amit Chakraborty:
Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL. - Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. - Niloufar Ahmadypour, Amin Gohari:
Transmission of a Bit over a Discrete Poisson Channel with Memory. - Jordi Porta Zamorano, Luis Espinosa Anke:
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing. - Giacomo Aletti, Irene Crimaldi, Fabio Saracco:
A model for the Twitter sentiment curve. - Di Wang, Marco Gaboardi, Adam D. Smith, Jinhui Xu:
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy. - Lewis Nkenyereye, S. M. Riazul Islam, Md. Mahmud Hossain, Mohammad Abdullah-Al-Wadud, Atif Alamri:
Blockchain-Enabled EHR Framework for Internet of Medical Things. - Sri Jamiya S, Esther Rani P.:
LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm. - Ryan Doenges, Mina Tahmasbi Arashloo, Santiago Bautista, Alexander Chang, Newton Ni, Samwise Parkinson, Rudy Peterson, Alaia Solko-Breslin, Amanda Xu, Nate Foster:
Petr4: Formal Foundations for P4 Data Planes. - Eugenio Moro, Ilario Filippini:
Joint Management of Compute and Radio Resources in Mobile Edge Computing: a Market Equilibrium Approach. - Dibakar Saha, Partha Sarathi Mandal:
A Distributed Algorithm for Overlapped Community Detection in Large-Scale Networks. - Lior Gishboliner, Yevgeny Levanzov, Asaf Shapira, Raphael Yuster:
Counting Homomorphic Cycles in Degenerate Graphs. - Orpaz Goldstein, Mohammad Kachuee, Dereck J. Shiell, Majid Sarrafzadeh:
Real-Time Decentralized knowledge Transfer at the Edge. - Paolo Massa, Federico Benvenuto:
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data. - Sudeep Dasari, Abhinav Gupta:
Transformers for One-Shot Visual Imitation. - Daniel Park, Bülent Yener:
A survey on practical adversarial examples for malware classifiers. - Rui Zhao:
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms. - Samuel Läubli, Patrick Simianer, Joern Wuebker, Geza Kovacs, Rico Sennrich, Spence Green:
The Impact of Text Presentation on Translator Performance. - Lin Cheng, Zijiang Yang:
GRCNN: Graph Recognition Convolutional Neural Network for Synthesizing Programs from Flow Charts. - Kamil Adamczewski, Mijung Park:
Dirichlet Pruning for Neural Network Compression. - Ján Drgona, Aaron Randall Tuor, Vikas Chandan, Draguna L. Vrabie:
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. - Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Linear Dilation-Erosion Perceptron for Binary Classification. - Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein:
Towards NNGP-guided Neural Architecture Search. - Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer:
Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution. - Javier M. Buldú, David Garrido, Daniel R. Antequera, Javier Busquets, E. Estrada, Ricardo Resta Serra, Roberto López del Campo:
Football tracking networks: Beyond event-based connectivity. - Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin:
GANMEX: One-vs-One Attributions using GAN-based Model Explainability. - Shimiao Li, Amritanshu Pandey, Larry T. Pileggi:
A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach. - Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono:
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version). - Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet:
Rediscovering alignment relations with Graph Convolutional Networks. - André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad:
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology. - Nadine Behrmann, Juergen Gall, Mehdi Noroozi:
Unsupervised Video Representation Learning by Bidirectional Feature Prediction. - Forrest Laine, Claire J. Tomlin:
Testing for Typicality with Respect to an Ensemble of Learned Distributions. - Muhammad Maaz:
Saturating stable matchings. - Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
Multi-Hypothesis Interactions in Game-Theoretic Motion Planning. - Rebecca Miles, Martin Matak, Mohanraj Devendran Shanthi, Darrin Young, Tucker Hermans:
Comparing Piezoresistive Substrates for Tactile Sensing in Dexterous Hands. - Jeanne Clelland, Haley Colgate, Daryl R. DeFord, Beth Malmskog, Flavia Sancier-Barbosa:
Colorado in Context: Congressional Redistricting and Competing Fairness Criteria in Colorado. - Xiaobin Xiong, Jenna Reher, Aaron D. Ames:
Global Position Control on Underactuated Bipedal Robots: Step-to-step Dynamics Approximation for Step Planning. - Karel Benes, Lukás Burget:
Text Augmentation for Language Models in High Error Recognition Scenario. - Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Exploring the Value of Personalized Word Embeddings. - Erik Drysdale, Devin Singh, Anna Goldenberg:
Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds. - Luis Sequeira, Julián Fernández-Navajas, Jose Saldana, Luis Casadesus:
Empirically Characterizing the Buffer Behaviour of Real Devices. - Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat, Andrea Lodi:
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers. - Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies:
Quantifying and Learning Disentangled Representations with Limited Supervision. - Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman:
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions. - Matthias Walter:
Face Dimensions of General-Purpose Cutting Planes for Mixed-Integer Linear Programs. - Yalchin Efendiev, Sai-Mang Pun, Petr N. Vabishchevich:
Temporal Splitting algorithms for non-stationary multiscale problems. - Anna Malinovskaya, Philipp Otto, Torben Peters:
Statistical learning for change point and anomaly detection in graphs. - Gareth W. Young, Siobhán Mannion, Sara Wentworth:
Evoking Places from Spaces. The application of multimodal narrative techniques in the creation of "U Modified". - Li Duan, Gerardo Aragon-Camarasa:
Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications. - Dominic Orchard, Mistral Contrastin, Matthew Danish, Andrew Rice:
Guiding user annotations for units-of-measure verification. - Jiajia Guo, Chao-Kai Wen, Shi Jin:
Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-cell Massive MIMO Systems. - Aya Abdelsalam Ismail, Mahmudul Hasan, Faisal Ishtiaq:
Improving Multimodal Accuracy Through Modality Pre-training and Attention. - Viska Wei, Nikita Ivkin, Vladimir Braverman, Alexander S. Szalay:
Sketch and Scale: Geo-distributed tSNE and UMAP. - Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi:
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography. - D. Ellis Hershkowitz, Gregory Kehne, R. Ravi:
An Optimal Rounding for Half-Integral Weighted Minimum Strongly Connected Spanning Subgraph. - Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Tree Embeddings for Hop-Constrained Network Design. - Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He Huang:
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. - Ananth Jonnavittula, Dylan P. Losey:
I Know What You Meant: Learning Human Objectives by (Under)estimating Their Choice Set. - Loris Nanni, Eugenio De Luca, Marco Ludovico Facin:
Deep learning and hand-crafted features for virus image classification. - Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas:
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework. - Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian:
Author's Sentiment Prediction. - Xiang Kong, Zhisong Zhang, Eduard H. Hovy:
Incorporating a Local Translation Mechanism into Non-autoregressive Translation. - Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song:
Deep Sketch-Based Modeling: Tips and Tricks. - Nam Hoai Chu, Dinh Thai Hoang, Diep N. Nguyen, Nguyen Van Huynh, Eryk Dutkiewicz:
Fast or Slow: An Autonomous Speed Control Approach for UAV-assisted IoT Data Collection Networks. - Young Kun-Ko, Min Jae Song:
Hardness of Approximate Nearest Neighbor Search under L-infinity. - Josef Danial, Debayan Das, Anupam Golder, Santosh Ghosh, Arijit Raychowdhury, Shreyas Sen:
EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures. - Yekaterina Epshteyn, Thuong Nguyen:
Adaptive Central-Upwind Scheme on Triangular Grids for the Saint-Venant System. - Farid Khan:
I-POST: Intelligent Point of Sale and Transaction System. - Alexis Ross, Himabindu Lakkaraju, Osbert Bastani:
Ensuring Actionable Recourse via Adversarial Training. - Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm:
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework. - Klaus Jansen, Alexandra Lassota, Marten Maack, Tytus Pikies:
Total Completion Time Minimization for Scheduling with Incompatibility Cliques. - Aparna Balagopalan, Jekaterina Novikova:
Augmenting BERT Carefully with Underrepresented Linguistic Features. - Bao-Gang Hu, Han-Bing Qu:
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective. - Amani Abusafia, Athman Bouguettaya:
Reliability Model for Incentive-Driven IoT Energy Services. - Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg:
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. - Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun:
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. - Russell Impagliazzo, Sam McGuire:
Comparing computational entropies below majority (or: When is the dense model theorem false?). - Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju:
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. - Himabindu Lakkaraju, Nino Arsov, Osbert Bastani:
Robust and Stable Black Box Explanations. - Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. - Will Crichton:
The Usability of Ownership. - Vít Jelínek, Tereza Klimosová, Tomás Masarík, Jana Novotná, Aneta Pokorná:
Note on 3-Coloring of (2P4, C5)-Free Graphs. - Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu:
Theoretical Knowledge Graph Reasoning via Ending Anchored Rules. - Juhyeon Kim:
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network. - Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang:
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. - Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K. Williams:
Distributed Adaptive and Resilient Control of Multi-Robot Systems with Limited Field of View Interactions using Q-Learning. - Eric C. Peterson, Peter J. Karalekas:
aether: Distributed system emulation in Common Lisp. - Watcharakorn Pinthurat, Branislav Hredzak:
Dynamic Power Balancing Algorithm for Single-Phase Energy Storage Systems in LV Distribution Network with Unbalanced PV Systems Distribution. - Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long:
Bi-tuning of Pre-trained Representations. - Michal Lisicki, Arash Afkanpour, Graham W. Taylor:
Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization. - Dongseok Shim, H. Jin Kim:
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning. - Runhua Xu, James Joshi:
Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions. - Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji:
Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning. - (Withdrawn) Fast and Accurate Proper Orthogonal Decomposition using Efficient Sampling and Iterative Techniques for Singular Value Decomposition.
- Mandy Xie, Alejandro Escontrela, Frank Dellaert:
A Factor-Graph Approach for Optimization Problems with Dynamics Constraints. - Cheng-I Lai, Jin Cao, Sravan Bodapati, Shang-Wen Li:
Towards Semi-Supervised Semantics Understanding from Speech. - Éric Le Ferrand, Steven Bird, Laurent Besacier:
Enabling Interactive Transcription in an Indigenous Community. - Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal:
Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. - Peng Zhang:
Approximating the Weighted Minimum Label s-t Cut Problem. - Haoxiang Wang, Jiasheng Zhang, Chenbei Lu, Chenye Wu:
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective. - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes:
Domain Generalization in Biosignal Classification. - Shahab Asoodeh, Flávio P. Calmon:
Bottleneck Problems: Information and Estimation-Theoretic View. - Wei Liao, Xiaohui Wei, Jizhou Lai:
Recursive Regret Matching: A General Method for Solving Time-invariant Nonlinear Zero-sum Differential Games. - Sulaiman A. Aburakhia, Tareq Tayeh, Ryan Myers, Abdallah Shami:
A Transfer Learning Framework for Anomaly Detection Using Model of Normality. - Lewis Nkenyereye, S. M. Riazul Islam, Md. Mahmud Hossain, Mohammad Abdullah-Al-Wadud, Atif Alamri:
Fog based Secure Framework for Personal Health Records Systems. - Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan:
Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks. - Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan:
Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. - Bhanuka Silva, Navinda Kottege:
Accessible Torque Bandwidth of a Series Elastic Actuator Considering the Thermodynamic Limitations. - Stuart Synakowski, Qianli Feng, Aleix M. Martínez:
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent. - Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama:
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. - Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks. - Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. - Sanket Shah, Satarupa Guha, Simran Khanuja, Sunayana Sitaram:
Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages. - Bethany Lu, Benjamin Tam, Navinda Kottege:
Autonomous Obstacle Legipulation with a Hexapod Robot. - Jiangtao Kong, Yu Cheng, Benjia Zhou, Kai Li, Junliang Xing:
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. - Wenting Tang, Xingxing Wei, Bo Li:
Automated Model Compression by Jointly Applied Pruning and Quantization. - Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos:
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. - Mohsen Sombolestan, Yiyu Chen, Quan Nguyen:
Adaptive Force-based Control for Legged Robots. - Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin:
Goal-driven Command Recommendations for Analysts. - Léo Bois, Emmanuel Franck, Laurent Navoret, Vincent Vigon:
A neural network closure for the Euler-Poisson system based on kinetic simulations. - Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall:
PoseTrackReID: Dataset Description. - Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel:
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. - Chengshuai Li, Shuai Han, Jianping Xing:
VCE: Variational Convertor-Encoder for One-Shot Generalization. - Moshe Babaioff, Yoav Kolumbus, Eyal Winter:
Optimal Collaterals in Multi-Enterprise Investment Networks. - Wentao Xu, Kazutoshi Sasahara:
Characterizing the roles of bots during the COVID-19 infodemic on Twitter. - Niv Buchbinder, Yaron Fairstein, Konstantina Mellou, Ishai Menache, Joseph Naor:
Online Virtual Machine Allocation with Predictions. - Md Jahidul Islam, Ruobing Wang, Karin de Langis, Junaed Sattar:
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots. - A. N. Trahtman:
Precise estimation on the order of local testability of deterministic finite automaton. - Teik Guan Tan, Pawel Szalachowski, Jianying Zhou:
Securing Password Authentication for Web-based Applications. - Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne:
Learning to Segment Dynamic Objects using SLAM Outliers. - Max Maass, Alina Stöver, Henning Pridöhl, Sebastian Bretthauer, Dominik Herrmann, Matthias Hollick, Indra Spiecker:
Effective Notification Campaigns on the Web: A Matter of Trust, Framing, and Support. - A. N. Trahtman:
Reducing the time complexity of testing for local threshold testability. - Chien-Chung Huang, Justin Ward:
FPT-Algorithms for the l-Matchoid Problem with Linear and Submodular Objectives. - Jakub Tetek, Marek Sklenka, Tomas Gavenciak:
Performance of Bounded-Rational Agents With the Ability to Self-Modify. - Bo Yu, Jie Tang, Shaoshan Liu:
On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. - Dipankar Sarkar, Ankur Narang, Sumit Rai:
Fed-Focal Loss for imbalanced data classification in Federated Learning. - Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard, Elmar Rueckert:
Parameter Optimization for Loop Closure Detection in Closed Environments. - Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti:
Image Anomaly Detection by Aggregating Deep Pyramidal Representations. - Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou:
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. - Marcin Pietron, Dominik Zurek:
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity. - Andrea Castellani, Sebastian Schmitt, Stefano Squartini:
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. - Bahadorreza Ofoghi, Vicky Mak, John Yearwood:
A Knowledge Representation Approach to Automated Mathematical Modelling. - Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. - A. Leitao, Benar Fux Svaiter:
On a family of gradient type projection methods for nonlinear ill-posed problems. - Mahdi Jafari Siavoshani, Amirhossein Khajepour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri:
Machine Learning Interpretability Meets TLS Fingerprinting. - Youmna Farag, Josef Valvoda, Helen Yannakoudakis, Ted Briscoe:
Analyzing Neural Discourse Coherence Models. - Vldimir Denysiuk:
Trigonometric splines and some of their properties. - Michael Gundall, Christopher Huber, Peter Rost, Rüdiger Halfmann, Hans D. Schotten:
Integration of 5G with TSN as Prerequisite for a Highly Flexible Future Industrial Automation: Time Synchronization based on IEEE 802.1AS. - Veysel Kocaman, David Talby:
Biomedical Named Entity Recognition at Scale. - Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning causal representations for robust domain adaptation. - Veysel Kocaman, Ofer M. Shir, Thomas Bäck:
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study. - Jianhua Li, Jiong Jin, Lingjuan Lyu, Dong Yuan, Yingying Yang, Longxiang Gao, Chao Shen:
A Fast and Scalable Authentication Scheme in IoT for Smart Living. - Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana:
SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts. - Marcelo Arenas, Pablo Barceló, Mikaël Monet:
The Complexity of Counting Problems over Incomplete Databases. - Shengcai Liu, Ke Tang, Xin Yao:
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows. - Visak Kumar, David Hoeller, Balakumar Sundaralingam, Jonathan Tremblay, Stan Birchfield:
Joint Space Control via Deep Reinforcement Learning. - Lorenzo Steccanella, Simone Totaro, Damien Allonsius, Anders Jonsson:
Hierarchical reinforcement learning for efficient exploration and transfer. - Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation. - Zhenghao Zhang, Jianbin Huang, Qinglin Tan:
Multi-View Dynamic Heterogeneous Information Network Embedding. - Qiuyan Shang, Yong Deng, Kang Hao Cheong:
Identifying influential nodes in complex networks: Effective distance gravity model. - Yara Huleihel, Eilam Ben-Dror, Haim H. Permuter:
Low PAPR waveform design for OFDM SYSTEM based on Convolutional Auto-Encoder. - Henry Clausen, Robert Flood, David Aspinall:
Traffic Generation using Containerization for Machine Learning. - Daniel Brennan, Vuk Marojevic:
UHD-DPDK Performance Analysis for Advanced Software Radio Communications. - Mounssif Krouka, Anis Elgabli, Mohammed Saad ElBamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal:
Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming. - Chris Bamford, Shengyi Huang, Simon M. Lucas:
Griddly: A platform for AI research in games. - Wonseok Jang, Hansaem Jeong, Kyungtae Kang, Nikil D. Dutt, Jong-Chan Kim:
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving. - Manuel Amersdorfer, Thomas Meurer:
Iterative Surface Mapping Using Local Geometry Approximation with Sparse Measurements During Robotic Tooling Tasks. - Peichen Xie, Xuanle Ren, Guangyu Sun:
Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning. - Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen:
Online Influence Maximization under Linear Threshold Model. - Gurunath Reddy Madhumani, Yi Yu, Florian Harscoët, Simon Canales, Suhua Tang:
Automatic Neural Lyrics and Melody Composition. - Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha:
Scalable Querying of Nested Data. - Dian Indriani, Arbi Haza Nasution, Winda Monika, Salhazan Nasution:
Towards A Sentiment Analyzer for Low-Resource Languages. - Hongyinping Feng, Bao-Zhu Guo:
Extended Dynamics Observer for Linear Systems with Disturbance. - (Withdrawn) An ensemble of Density based Geometric One-Class Classifier and Genetic Algorithm.
- Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad:
FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks. - Hamed Hemati, Damian Borth:
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. - Lixuan Yang, Cedric Beliard, Dario Rossi:
Heterogeneous Data-Aware Federated Learning. - Ruofeng Wen:
Turn-level Dialog Evaluation with Dialog-level Weak Signals for Bot-Human Hybrid Customer Service Systems. - Rasmus Laurvig Haugaard, Jeppe Langaa, Christoffer Sloth, Anders Glent Buch:
Fast robust peg-in-hole insertion with continuous visual servoing. - Gilles Barthe, Rohit Chadha, Paul Krogmeier, A. Prasad Sistla, Mahesh Viswanathan:
Deciding Accuracy of Differential Privacy Schemes. - Margarita Alejandra Rebolledo Coy, Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
Sensor Placement for Contamination Detection in Water Distribution Systems. - Jiamin Jiang, Pavel Tomin, Yifan Zhou:
Inexact Methods for Sequential Fully Implicit (SFI) Reservoir Simulation. - Yue Guan, Leiting Dong, Satya N. Atluri:
A New Meshless Fragile Points Method (FPM) With Minimum Unknowns at Each Point, For Flexoelectric Analysis Under Two Theories with Crack Propagation. Part I: Theory and Implementation. - Yue Guan, Leiting Dong, Satya N. Atluri:
A New Meshless Fragile Points Method (FPM) With Minimum Unknowns at Each Point, For Flexoelectric Analysis Under Two Theories with Crack Propagation. Part II: Validation and discussion. - Frédéric Lafont, Jean-François Balmat, Cédric Join, Michel Fliess:
First steps toward a simple but efficient model-free control synthesis for variable-speed wind turbines. - Francesca Fantoni, Alberto Salvadori:
A novel hydraulic fractures growth formulation. - Tarik Dzanic, Will Trojak, Freddie D. Witherden:
A Riemann Difference Scheme for Shock Capturing in Discontinuous Finite Element Methods. - Mario Scrocca, Marco Comerio, Alessio Carenini, Irene Celino:
Turning Transport Data to Comply with EU Standards while Enabling a Multimodal Transport Knowledge Graph. - Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun:
StrObe: Streaming Object Detection from LiDAR Packets. - S. Rahimi Kari:
Realization of Stochastic Neural Networks and Its Potential Applications. - Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb:
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. - Xingchen Wan, Jie Yang, Slavi Marinov, Jan-Peter Calliess, Stefan Zohren, Xiaowen Dong:
Sentiment Diffusion in Financial News Networks and Associated Market Movements. - Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta:
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. - Michel de Mathelin, Florent Nageotte, Philippe Zanne, Birgitta Dresp-Langley:
Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements. - Manish Bhattarai, Manel Martínez-Ramón:
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments. - Birgitta Dresp-Langley, Florent Nageotte, Philippe Zanne, Michel de Mathelin:
Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system. - Mahendra Piraveenan, Shailendra Sawleshwarkar, Michael Walsh, Iryna Zablotska, Samit Bhattacharyya, Habib Hassan Farooqui, Tarun Bhatnagar, Anup Karan, Manoj Murhekar, Sanjay Zodpey, K. S. Mallikarjuna Rao, Philippa Pattison, Albert Y. Zomaya, Matjaz Perc:
Optimal governance and implementation of vaccination programs to contain the COVID-19 pandemic. - Birgitta Dresp-Langley, Marie Monfouga:
Combining visual contrast information with sound can produce faster decisions. - Youngseo Son, Sean A. P. Clouston, Roman Kotov, Johannes C. Eichstaedt, Evelyn J. Bromet, Benjamin J. Luft, H. Andrew Schwartz:
World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews. - Jiasi Weng, Jian Weng, Chengjun Cai, Hongwei Huang, Cong Wang:
Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS. - Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. - Nilo Pedrazzini:
Exploiting Cross-Dialectal Gold Syntax for Low-Resource Historical Languages: Towards a Generic Parser for Pre-Modern Slavic. - Tae Woo Hong, Connor Myant, David E. Boyle:
Thermoformed Circuit Boards: Fabrication of highly conductive freeform 3D printed circuit boards with heat bending. - Constantinos Patsakis, Anargyros Chrysanthou:
Analysing the fall 2020 Emotet campaign. - Michael Kapralov, Gilbert Maystre, Jakab Tardos:
Communication Efficient Coresets for Maximum Matching. - Xianghao Yu, Dongfang Xu, Derrick Wing Kwan Ng, Robert Schober:
IRS-Assisted Green Communication Systems: Provable Convergence and Robust Optimization. - Robert Adragna, Elliot Creager, David Madras, Richard S. Zemel:
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification. - R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. - Florian Jacob, Carolin Beer, Norbert Henze, Hannes Hartenstein:
Analysis of the Matrix Event Graph Replicated Data Type. - Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das:
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. - Björn Barz, Joachim Denzler:
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era. - Kerem Ozfatura, Emre Ozfatura, Deniz Gündüz:
Distributed Sparse SGD with Majority Voting. - Roshan Reddy Yedla, Shiv Ram Dubey:
On the Performance of Convolutional Neural Networks under High and Low Frequency Information. - Huy Ha, Shubham Agrawal, Shuran Song:
Fit2Form: 3D Generative Model for Robot Gripper Form Design. - Laurent Jacques, Thomas Feuillen:
Keep the phase! Signal recovery in phase-only compressive sensing. - Jens Brandenburger, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, Sébastien Dupont, Annick Majchrowski, Asier Arteaga:
Quality4.0 - Transparent product quality supervision in the age of Industry 4.0. - Kexin Huang, Sankeerth Garapati, Alexander S. Rich:
An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text. - Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob N. Foerster:
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. - Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Reinforcement Learning with Videos: Combining Offline Observations with Interaction. - Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure. - José Correa, Andrés Cristi, Boris Epstein, José A. Soto:
Sample-driven optimal stopping: From the secretary problem to the i.i.d. prophet inequality. - Danielle Saunders, Weston Feely, Bill Byrne:
Inference-only sub-character decomposition improves translation of unseen logographic characters. - Samiha Samrose, Reza Rawassizadeh, Ehsan Hoque:
Immediate or Reflective?: Effects of Real-timeFeedback on Group Discussions over Videochat. - Michael Kapralov, Robert Krauthgamer, Jakab Tardos, Yuichi Yoshida:
Towards Tight Bounds for Spectral Sparsification of Hypergraphs. - Sarah C. Brüningk, Felix Hensel, Catherine R. Jutzeler, Bastian Rieck:
Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design. - Hussam Al Daas, Grey Ballard, Peter Benner:
Parallel Algorithms for Tensor Train Arithmetic. - Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland:
Shared Prior Learning of Energy-Based Models for Image Reconstruction. - Jonas Gonzalez-Billandon, Lukas Grasse, Matthew S. Tata, Alessandra Sciutti, Francesco Rea:
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot. - Julia Chuzhoy, Sepideh Mahabadi, Zihan Tan:
Towards Better Approximation of Graph Crossing Number. - Claudio Chamon, Eduardo R. Mucciolo, Andrei E. Ruckenstein:
Reaching the speed limit of classical block ciphers via quantum-like operator spreading. - Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui:
Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory. - Sean R. B. Bearden, Yan Ru Pei, Massimiliano Di Ventra:
Efficient Solution of Boolean Satisfiability Problems with Digital MemComputing. - Demin Nalic, Hexuan Li, Arno Eichberger, Christoph Wellershaus, Aleksa Pandurevic, Branko Rogic:
Stress Testing Method for Scenario Based Testing of Automated Driving Systems. - Olesya Mryglod, Ihor Mryglod:
Collective authorship in Ukrainian science: marginal effect or new phenomenon? - Nozhan Hosseini, David W. Matolak:
Noncoherent Multiuser Chirp Spread Spectrum: Performance with Doppler and Asynchronism. - Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer:
Sparse PCA: Algorithms, Adversarial Perturbations and Certificates. - Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh:
Learning Latent Representations to Influence Multi-Agent Interaction. - Luis Sequeira, Julián Fernández-Navajas, Luis Casadesus, Jose Saldana, Idelkys Quintana Ramírez, José Ruíz-Mas:
The Influence of the Buffer Size in Packet Loss for Competing Multimedia and Bursty Traffic. - Song Feng, Hui Wan, R. Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis A. Lastras:
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset. - Bojun Huang:
Steady State Analysis of Episodic Reinforcement Learning. - Mohammad Shafaet Islam, Qiqi Wang:
A data driven heuristic for rapid convergence of general Scheduled Relaxation Jacobi (SRJ) schemes. - Sangeeta Satish Rao, Nikunj Phutela, V. R. Badri Prasad:
Empirical Performance Analysis of Conventional Deep Learning Models for Recognition of Objects in 2-D Images. - Xiangci Li, Hairong Liu, Liang Huang:
Context-aware Stand-alone Neural Spelling Correction. - Ivan Di Liberti, Fosco Loregiàn, Chad Nester, Pawel Sobocinski:
Functorial Semantics for Partial Theories. - M. S. Joshaghani, K. B. Nakshatrala:
A modeling framework for coupling plasticity with species diffusion. - Xingfu Wu, Valerie Taylor:
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. - Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. - Shuhao Xia, Jingyang Zhu, Yuhan Yang, Yong Zhou, Yuanming Shi, Wei Chen:
Fast Convergence Algorithm for Analog Federated Learning. - Rodrigo Trentini, Daniel Rafael dos Santos, Yuri Roberto Ferreira:
A comprehensive mathematical model of a low-friction servopneumatic actuator. - Yakov Babichenko, Aviad Rubinstein:
Communication complexity of Nash equilibrium in potential games. - Jonas Andrulis, Ole Meyer, Grégory Schott, Samuel Weinbach, Volker Gruhn:
Domain-Level Explainability - A Challenge for Creating Trust in Superhuman AI Strategies. - Azarakhsh Keipour, Mohammadreza Mousaei, Andrew T. Ashley, Sebastian A. Scherer:
Attitude and Thrust Strategies for Fully-Actuated Multirotors: The Fast-Track to Real-World Applications. - Maysum Panju, Kourosh Parand, Ali Ghodsi:
Symbolically Solving Partial Differential Equations using Deep Learning. - Ross Greer, Nachiket Deo, Mohan M. Trivedi:
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss. - Pouya Agheli, Mohammad Javad Emadi, Hamzeh Beyranvand:
Performance Analysis of Cell-free and User-Centric MIMO Networks with Optical Fronthaul and Backhaul Links. - Joseph Schuchart, Christoph Niethammer, José Gracia:
Fibers are not (P)Threads: The Case for Loose Coupling of Asynchronous Programming Models and MPI Through Continuations. - Yanjun Zhang, Hanyu Li:
Greedy Motzkin-Kaczmarz methods for solving linear systems. - Yanjun Zhang, Hanyu Li:
Block sampling Kaczmarz-Motzkin methods for consistent linear systems. - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Adversarial Robustness Against Image Color Transformation within Parametric Filter Space. - Franck Galpin, Fabien Racapé, Sunil Jaiswal, Philippe Bordes, Fabrice Le Léannec, Edouard François:
CNN-based driving of block partitioning for intra slices encoding. - Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. - Cheng Chen, Junjie Yang, Yi Zhou:
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study. - Troy Luhman, Eric Luhman:
Diffusion models for Handwriting Generation. - Samuel Chevalier, Kathleen Cavanagh, Konstantin S. Turitsyn, Luca Daniel, Petr Vorobev:
Stability Certification Standards for DC Microgrid Networks with Arbitrary Load Configurations. - David Krueger, Jan Leike, Owain Evans, John Salvatier:
Active Reinforcement Learning: Observing Rewards at a Cost. - Sathiya Kumaran Mani, Yi Cao, Paul Barford, Darryl Veitch:
iHorology: Lowering the Barrier to Microsecond-level Internet Time. - Varun Shankar, Grady B. Wright, Aaron L. Fogelson:
An Efficient High-Order Meshless Method for Advection-Diffusion Equations on Time-Varying Irregular Domains. - Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Dependency-based Anomaly Detection: Framework, Methods and Benchmark. - Dongchen Liu, Junzheng Wang, Shoukun Wang:
Coordinated Motion Control and Event-based Obstacle-crossing for Four Wheel-leg Independent Motor-driven Robotic System via MPC. - Jie Shi, Brandon Foggo, Nanpeng Yu:
Power System Event Identification based on Deep Neural Network with Information Loading. - Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. - Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud:
Local Anomaly Detection in Videos using Object-Centric Adversarial Learning. - Fan Yu, Zhuoyuan Yao, Xiong Wang, Keyu An, Lei Xie, Zhijian Ou, Bo Liu, Xiulin Li, Guanqiong Miao:
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines. - Olakunle Ibitoye, Ashraf Matrawy, M. Omair Shafiq:
A GAN-based Approach for Mitigating Inference Attacks in Smart Home Environment. - Paul Dütting, Silvio Lattanzi, Renato Paes Leme, Sergei Vassilvitskii:
Secretaries with Advice. - Zhiyong He, Zanbo Wang, Wei Wei, Shanshan Feng, Xianling Mao, Sheng Jiang:
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models. - Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. - Vivswan Shitole, Fuxin Li, Minsuk Kahng, Prasad Tadepalli, Alan Fern:
Structured Attention Graphs for Understanding Deep Image Classifications. - Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh, Amr Kayid:
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change. - Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Unsupervised Explanation Generation for Machine Reading Comprehension. - Qian Hu, Huzefa Rangwala:
Metric-Free Individual Fairness with Cooperative Contextual Bandits. - Liu Leqi, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery:
Rebounding Bandits for Modeling Satiation Effects. - Hamidreza Arian, Mehrdad Moghimi, Ehsan Tabatabaei, Shiva Zamani:
Encoded Value-at-Risk: A Predictive Machine for Financial Risk Management. - Aniketh Manjunath, Quan Nguyen:
Safe and Robust Motion Planning for Dynamic Robotics via Control Barrier Functions. - Boxi Xia, Jiaming Fu, Hongbo Zhu, Zhicheng Song, Yibo Jiang, Hod Lipson:
A Legged Soft Robot Platform for Dynamic Locomotion. - Jun Nishikawa, Ryoji Ikegaya:
Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks. - Jiajun Fan, He Ba, Xian Guo, Jianye Hao:
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning. - Morteza Rohanian, Julian Hough:
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning. - Jessica R. Crawshaw, Jennifer A. Flegg, James M. Osborne:
A simple history dependent remeshing technique to increase finite element model stability in elastic surface deformations. - Xu Jiang, Nan Guan, Maolin Yang, Yue Tang, Wang Yi:
Schedulability Bounds for Parallel Real-Time Tasks under Global Rate-Monotonic Scheduling. - Nishant Mohanty, Suresh Sundaram:
Scaffolding Reflection in Reinforcement Learning Framework for Confinement Escape Problem. - Balsam Alkouz, Athman Bouguettaya:
Formation-based Selection of Drone Swarm Services. - Nitish K. Panigrahy, Prithwish Basu, Don Towsley:
Matching through Embedding in Dense Graphs. - Dong-keun Oh:
Toward the Fully Physics-Informed Echo State Network - an ODE Approximator Based on Recurrent Artificial Neurons. - Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Neiat, Basem Suleiman:
Elastic Composition of Crowdsourced IoT Energy Services. - Masahiko Ueda:
Memory-two zero-determinant strategies in repeated games. - Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen:
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. - Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu:
Learning Scalable Self-Driving Policies for Generic Traffic Scenarios. - Sung Eun Kim, Hongkyu Yoon, Jonghyun Lee:
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks. - Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held:
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. - Onwuegbuzie Innocent Uzougbo, Samuel-Soma M. Ajibade, Fele Taiwo:
An overview of wireless sensor network security attacks: Mode of operation, severity and mitigation techniques. - (Withdrawn) A differential evolution-based optimization tool for interplanetary transfer trajectory design.
- KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen:
A Reweighted Meta Learning Framework for Robust Few Shot Learning. - Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi, Yoko Sasaki:
Adaptive Future Frame Prediction with Ensemble Network. - Federica Baccini, Lucio Barabesi, Alberto Baccini, Mahdi Khelfaoui, Yves Gingras:
Similarity network fusion for scholarly journals. - Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe:
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. - Fulian Yin, Xueying Shao, Meiqi Ji, Jianhong Wu:
Quantify Influence of Delay in Opinion Transmission of Opinion Leaders on COVID-19 Information Propagation in the Chinese Sina-microblog. - Jiajun Zhang, Pengyuan Ren, Jianmin Li:
Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints. - Shulei Ji, Jing Luo, Xinyu Yang:
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions. - Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. - Fabio Bonassi, Marcello Farina, Riccardo Scattolini:
On the stability properties of Gated Recurrent Units neural networks. - Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang:
Heterogeneous Graph Collaborative Filtering. - Rasmus Berg Palm, Elias Najarro, Sebastian Risi:
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning. - Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic:
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. - Davod Khojasteh Salkuyeh:
A new iterative method for solving a class of two-by-two block complex linear systems. - Jaap Jumelet:
diagNNose: A Library for Neural Activation Analysis. - Michela Iezzi:
Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview. - Raghav Brahmadesam Venkataramaiyer, Abhishek Joshi, Saisha Narang, Vinay P. Namboodiri:
SHAD3S: A model to Sketch, Shade and Shadow. - Md. Saif Hassan Onim, Aiman Rafeed Ehtesham, Amreen Anbar, A. K. M. Nazrul Islam, A. K. M. Mahbubur Rahman:
LULC classification by semantic segmentation of satellite images using FastFCN. - Erick Elejalde, Damianos Galanopoulos, Claudia Niederée, Vasileios Mezaris:
Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content. - Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos:
An Exploratory Analysis on Users' Contributions in Federated Learning. - Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. - David Wisth, Marco Camurri, Sandipan Das, Maurice F. Fallon:
Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry. - Riccardo Fazio:
Free Boundary Formulations for two Extended Blasius Problems. - Sidney Jonathan Golstein, François Rottenberg, François Horlin, Philippe De Doncker, Julien Sarrazin:
Physical Layer Security in a SISO Communication using Frequency-Domain Time-Reversal OFDM Precoding and Artificial Noise Injection. - Zhenzhen Sun, Yuanlong Yu:
A Homotopy Coordinate Descent Optimization Method for l0-Norm Regularized Least Square Problem. - Liqiang Wang, Xiaoyu Shen, Gerard de Melo, Gerhard Weikum:
Cross-Domain Learning for Classifying Propaganda in Online Contents. - Francesco Durazzi, Martin Müller, Marcel Salathé, Daniel Remondini:
International expert communities on Twitter become more isolated during the COVID-19 pandemic. - Thomas Pellegrini, Romain Zimmer, Timothée Masquelier:
Low-activity supervised convolutional spiking neural networks applied to speech commands recognition. - Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari:
Transductive Zero-Shot Learning using Cross-Modal CycleGAN. - Martin Johnsen, Oliver Brandt, Sergio Garrido, Francisco C. Pereira:
Population synthesis for urban resident modeling using deep generative models. - J. Tu, C. Chen, X. Huang, J. He, X. Guan:
Discriminative Feature Representation with Spatio-temporal Cues for Vehicle Re-identification. - Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi:
DANAE: a denoising autoencoder for underwater attitude estimation. - Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. - Huan Ren, Zheng-Jian Bai:
Single-pass randomized QLP decomposition for low-rank approximation. - Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? - Riccardo Bertolucci, Alessio Capitanelli, Marco Maratea, Fulvio Mastrogiovanni, Mauro Vallati:
Collaborative Robotic Manipulation: A Use Case of Articulated Objects in Three-dimensions with Gravity. - Weijia Xu, Marine Carpuat:
EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints. - Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan:
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. - Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan:
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee. - Hendrik Fichtenberger, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson:
Consistent k-Clustering for General Metrics. - Ali Bereyhi, Saba Asaad, Bernhard Gäde, Ralf R. Müller, H. Vincent Poor:
Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications. - Ahmet M. Elbir:
Hybrid Federated and Centralized Learning. - Nils Dengler, Tobias Zaenker, Francesco Verdoja, Maren Bennewitz:
Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations. - Patrick Henaff, Vincent Scesa, Fethi Ben Ouezdou, Olivier Bruneau:
Real time implementation of CTRNN and BPTT algorithm to learn on-line biped robot balance: Experiments on the standing posture. - Damien Chablat, Wanda Zhao, Anatol Pashkevich, Alexandr Klimchik:
Mechanics of compliant serial manipulator composed of dual-triangle segments. - Paul Dufossé, Cyrille Enderli:
Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms. - Amanda Fernández-Fontelo, Pascal J. Kieslich, Felix Henninger, Frauke Kreuter, Sonja Greven:
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features. - Yoav Shalev, Lior Wolf:
Image Animation with Perturbed Masks. - Richard Schoonhoven, Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg:
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains. - Md Tanzil Shahriar, Huyue Li:
A Study of Image Pre-processing for Faster Object Recognition. - Mustafa Abdallah, Daniel Woods, Parinaz Naghizadeh, Issa Khalil, Timothy N. Cason, Shreyas Sundaram, Saurabh Bagchi:
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems. - Ishfaq Hussain, Janibul Bashir:
Measuring time delay in path MTU discovery in transmitting a packet in IPv4 and IPv6 network. - Tao Feng, Sascha Kurz, Shuangqing Liu:
Bounds for the multilevel construction. - Étienne Bamas, Paritosh Garg, Lars Rohwedder:
The Submodular Santa Claus Problem in the Restricted Assignment Case. - Carlos Selmo, Julian F. Martinez, Mariano G. Beiró, J. Ignacio Alvarez-Hamelin:
Learning language variations in news corpora through differential embeddings. - Fabian Birkmann, Stefan Milius, Henning Urbat:
On Language Varieties Without Boolean Operations. - Quanling Deng, Alexandre Ern:
SoftFEM: revisiting the spectral finite element approximation of elliptic operators. - Ernst-Erich Doberkat:
Congruences for Stochastic Automata. - Anant Raj, Pierre Gaillard, Christophe Saad:
Non-stationary Online Regression. - Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard:
SALAD: Self-Assessment Learning for Action Detection. - Edouard Fouché, Florian Kalinke, Klemens Böhm:
Efficient Subspace Search in Data Streams. - Daniel Seichter, Mona Köhler, Benjamin Lewandowski, Tim Wengefeld, Horst-Michael Gross:
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis. - Benoît Richard, Xavier Le Pivert, Yves-Marie Bourien:
BESS Optimal Sizing Methodology -Degree of Impact of Several Influencing Factors. - Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems. - Ahmad Beltagy, Wael Abdelrahman, Omar ElSherief:
Arabic Dialect Identification Using BERT-Based Domain Adaptation. - Faisal Alamri, Sinan Kalkan, Nicolas Pugeault:
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection. - Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam:
Multi-layered tensor networks for image classification. - Shammya Saha, Nikhil Ravi, Kari Hreinsson, Jaejong Baek, Anna Scaglione, Nathan G. Johnson:
A Secure Distributed Ledger for Transactive Energy: The Electron Volt Exchange (EVE) Blockchain. - Phuong D. H. Nguyen, Manfred Eppe, Stefan Wermter:
Robotic self-representation improves manipulation skills and transfer learning. - Stefan Schweter, Alan Akbik:
FLERT: Document-Level Features for Named Entity Recognition. - Markus Grassl:
Algebraic Quantum Codes: Linking Quantum Mechanics and Discrete Mathematics. - Moses Charikar, Michael Kapralov, Navid Nouri, Paris Siminelakis:
Kernel Density Estimation through Density Constrained Near Neighbor Search. - Florian Frühauf, Otmar Scherzer, A. Leitao:
Analysis of regularization methods for the solution of ill-posed problems involving discontinuous operators. - Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik:
Parametric Graph Templates: Properties and Algorithms. - Geoffrey Clark, Joseph Campbell, Heni Ben Amor:
Learning Predictive Models for Ergonomic Control of Prosthetic Devices. - Mohammad Bakhtiari, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Amirhossein Bayat, David B. Blumenthal, Markus List, Jan Baumbach:
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments. - Jan Hausberg, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi:
Relative Drone-Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations. - Elisa Bassignana, Malvina Nissim, Viviana Patti:
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality. - Pasquale Antonante, David I. Spivak, Luca Carlone:
Monitoring and Diagnosability of Perception Systems. - Sayak Mukherjee, Thanh Long Vu:
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator. - Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit Cheung:
Deconstructing word embedding algorithms. - Riad Akrour, Asma Atamna, Jan Peters:
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning. - Paula Harder, William K. Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanovic, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris:
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. - Theresa Stadler, Bristena Oprisanu, Carmela Troncoso:
Synthetic Data - A Privacy Mirage. - Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode, Howie Choset, John M. Galeotti:
A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning. - Ali AlQallaf, Gerardo Aragon-Camarasa:
Enabling the Sense of Self in a Dual-Arm Robot. - Charles Beattie, Thomas Köppe, Edgar A. Duéñez-Guzmán, Joel Z. Leibo:
DeepMind Lab2D. - Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada:
Continual Learning with Deep Artificial Neurons. - Sudharshan Suresh, Maria Bauzá, Kuan-Ting Yu, Joshua G. Mangelson, Alberto Rodriguez, Michael Kaess:
Tactile SLAM: Real-time inference of shape and pose from planar pushing. - Cecilia Ostertag, Marie Beurton-Aimar:
Using Graph Neural Networks to Reconstruct Ancient Documents. - Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang:
Learning to Drop: Robust Graph Neural Network via Topological Denoising. - Santiago López-Tapia, Nicolás Pérez de la Blanca:
Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution. - Jing Geng, Vigen Arakelian, Damien Chablat:
Shaking Force Balancing of the Orthoglide. - Guillaume Bellegarda, Quan Nguyen:
Robust Quadruped Jumping via Deep Reinforcement Learning. - Stefan Göller, Mathieu Hilaire:
Reachability in two-parametric timed automata with one parameter is EXPSPACE-complete. - Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Reducing Inference Latency with Concurrent Architectures for Image Recognition. - Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, Xiaobo Sharon Hu:
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. - David S. Hayden, Sue Zheng, John W. Fisher III:
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking. - Vince Kurtz, Hai Lin:
Trajectory Optimization for High-Dimensional Nonlinear Systems under STL Specifications. - Baris Irhan:
A universal predictor-corrector type incremental algorithm for the construction of weighted straight skeletons based on the notion of deforming polygon. - Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne, Paula Buttery:
The Teacher-Student Chatroom Corpus. - Raghad Alghonaim, Edward Johns:
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer. - Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar:
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents. - Daniel Porto, Gabriela Martins de Jesus, Fabiano Cutigi Ferrari, Sandra C. P. F. Fabbri:
Initiatives and Challenges of Using Gamification in Software Engineering: A Systematic Mapping. - Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar:
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications. - Nicola Bastianello:
tvopt: A Python Framework for Time-Varying Optimization. - Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer:
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition. - Jiaying Gong, Hoda Eldardiry:
Zero-shot Learning for Relation Extraction. - James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi:
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. - Adam J. Johs, Denise E. Agosto, Rosina O. Weber:
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science. - Alp Sahin, Adam J. Spiers, Berk Çalli:
Region-Based Planning for 3D Within-Hand-Manipulation via Variable Friction Robot Fingers and Extrinsic Contacts. - Harald Strömfelt, Luke Dickens, Artur S. d'Avila Garcez, Alessandra Russo:
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision. - Gabriele Fici, Nicola Prezza, Rossano Venturini:
Substring Query Complexity of String Reconstruction. - Andrea Bisoffi, Dimos V. Dimarogonas:
Satisfaction of linear temporal logic specifications through recurrence tools for hybrid systems. - Nan Wu, Pengcheng Li:
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models. - Kelton Minor, Andreas Bjerre-Nielsen, Sigga Svala Jonasdottir, Sune Lehmann, Nick Obradovich:
Ambient heat and human sleep. - Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli:
Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. - Omid Askarisichani, Elizabeth Y. Huang, Kekoa S. Sato, Noah E. Friedkin, Francesco Bullo, Ambuj K. Singh:
Expertise and confidence explain how social influence evolves along intellective tasks. - Sean Reiter, Mark Embree, Serkan Gugercin:
The balanced truncation bound is tight for SISO systems when the truncated system is state-space symmetric. - Kalyan Vasudev Alwala, Mustafa Mukadam:
Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning. - Jardel Vieira, Eduardo Abreu, João Batista Florindo:
Texture image classification based on a pseudo-parabolic diffusion model. - Maria-Florina Balcan:
Data-driven Algorithm Design. - Huiwen Wu, Cen Chen, Li Wang:
A Theoretical Perspective on Differentially Private Federated Multi-task Learning. - Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects. - Andong Lu, Cun Qian, Chenglong Li, Jin Tang, Liang Wang:
Duality-Gated Mutual Condition Network for RGBT Tracking. - Andong Lu, Chenglong Li, Yuqing Yan, Jin Tang, Bin Luo:
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss. - Akrati Saxena, Sudarshan Iyengar:
Centrality Measures in Complex Networks: A Survey. - George Barnum, Sabera Talukder, Yisong Yue:
On the Benefits of Early Fusion in Multimodal Representation Learning. - Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Towards Human-Level Learning of Complex Physical Puzzles. - Andrew Pryhuber, Rainer Sinn, Rekha R. Thomas:
Existence of Two View Chiral Reconstructions. - Ziyang Zhang, Yingtao Luo:
Deep Spatial Learning with Molecular Vibration. - Juan Pablo Carbajal, Daniel Alejandro Martin, Dante Renato Chialvo:
Memristor networks learn by mistakes. - Zhiwei Cao, Hongfei Zhu, Yuping Zhao, Dou Li:
Nonuniform Quantized Decoder for Polar Codes with Minimum Distortion Quantizer. - Jason R. Baron, Mahmoud F. Sayed, Douglas W. Oard:
Providing More Efficient Access To Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege. - Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. - Chai Wah Wu:
Synchronization in dynamical systems coupled via multiple directed networks. - Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection. - Yuwei Li, Wanli Ni, Hui Tian, Meihui Hua, Shaoshuai Fan:
Energy-Efficient Resource Allocation in UAV-Enabled Detection and Communication Systems. - Jukka Ruohonen:
Do Cyber Capabilities and Cyber Power Incentivize International Cooperation? - Wenxuan Zhou, Sujay Bajracharya, David Held:
PLAS: Latent Action Space for Offline Reinforcement Learning. - Xingyu Lin, Yufei Wang, Jake Olkin, David Held:
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation. - Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty. - Risul Islam, Md Omar Faruk Rokon, Ahmad Darki, Michalis Faloutsos:
HackerScope: The Dynamics of a Massive Hacker Online Ecosystem. - Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. - Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos:
TenFor: A Tensor-Based Tool to Extract Interesting Events from Security Forums. - Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng:
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery. - Dipankar Sarkar, Sumit Rai, Ankur Narang:
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning. - Yu-Shih Chen, Melissa Goh, Norm Matloff:
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks. - Linchao Zhu, Yi Yang:
ActBERT: Learning Global-Local Video-Text Representations. - Jaimie Swartz, Brittany Wais, Elizabeth Ratnam, Alexandra von Meier:
Visual Tool for Assessing Stability of DER Configurations on Three-Phase Radial Networks. - Gernot Riegler, Vladlen Koltun:
Stable View Synthesis. - Shihao Xu, Haocong Rao, Xiping Hu, Bin Hu:
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition. - Canhui Chen, Xu Chen, Jiangshan Yu, Weigang Wu, Di Wu:
Impact of Temporary Fork on the Evolution of Mining Pools in Blockchain Networks: An Evolutionary Game Analysis. - Tong Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Xin Wang, Xiaolin Hou:
Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems. - Severin Laicher, Gioia Baldissin, Enrique Castañeda, Dominik Schlechtweg, Sabine Schulte im Walde:
CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection. - T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling:
Self Normalizing Flows. - Allen Roush, Arvind Balaji:
DebateSum: A large-scale argument mining and summarization dataset. - Fanqing Lin, Tony R. Martinez:
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection. - Md. Atik Shahriar, Faisal Haque Bappy, A. K. M. Fakhrul Hossain, Dayamoy Datta Saikat, Md. Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Md. Zakirul Alam Bhuiyan:
Modelling Attacks in Blockchain Systems using Petri Nets. - Franco Manessi, Alessandro Rozza:
Graph-Based Neural Network Models with Multiple Self-Supervised Auxiliary Tasks. - Daniele Canavese, Leonardo Regano, Cataldo Basile, Bart Coppens, Bjorn De Sutter:
Software Protection as a Risk Analysis Process. - Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gündüz:
FedRec: Federated Learning of Universal Receivers over Fading Channels. - Michel P. Schellekens:
Entropy conservation for comparison-based algorithms. - Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai:
Towards Zero-Shot Learning with Fewer Seen Class Examples. - Lahiru Senevirathne, Piyumal Demotte, Binod Karunanayake, Udyogi Munasinghe, Surangika Ranathunga:
Sentiment Analysis for Sinhala Language using Deep Learning Techniques. - Vighnesh Vatsal, Guy Hoffman:
Analytical Inverse Kinematics for a 5-DoF Robotic Arm with a Prismatic Joint. - Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé:
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games. - Manouchehr Zaker:
A new vertex coloring heuristic and corresponding chromatic number. - Mark Frost, Sophia Xiaoxia Duan:
Rethinking the Role of Technology in Virtual Teams in Light of COVID-19. - Pietro Tedeschi, Spiridon Bakiras, Roberto Di Pietro:
SpreadMeNot: A Provably Secure and Privacy-Preserving Contact Tracing Protocol. - Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
Meaningful Answer Generation of E-Commerce Question-Answering. - Fabian Beigang:
Shortcomings of Counterfactual Fairness and a Proposed Modification. - Kaushil Mangaroliya, Het Patel:
Classification of Reverse-Engineered Class Diagram and Forward-Engineered Class Diagram using Machine Learning. - Yutao Han, Jacopo Banfi, Mark E. Campbell:
Planning Paths Through Unknown Space by Imagining What Lies Therein. - Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott:
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA. - Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski:
A Geometric Perspective on Self-Supervised Policy Adaptation. - Xiaodong Zheng, Yan Xu, Zhengmao Li, Haoyong Chen:
Co-optimisation and Settlement of Power-Gas Coupled System in Day-ahead Market under Multiple Uncertainties. - Arsenia Chorti:
Brief Report on QoSec, Context Aware Security and the Role of Physical Layer Security in 6G Wireless. - Traiko Dinev, Wolfgang Merkt, Vladimir Ivan, Ioannis Havoutis, Sethu Vijayakumar:
Sparsity-Inducing Optimal Control via Differential Dynamic Programming. - Nihal Acharya Adde, Thilo Moshagen:
Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19. - Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Speech Prediction in Silent Videos using Variational Autoencoders. - Carlos Lassance, Vincent Gripon, Antonio Ortega:
Representing Deep Neural Networks Latent Space Geometries with Graphs. - Fan-Keng Sun, Cheng-I Lai:
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration. - Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis:
Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays. - Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande:
Towards transformation-resilient provenance detection of digital media. - Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge J. Ritter:
Solving Physics Puzzles by Reasoning about Paths. - Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty:
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. - Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos:
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data. - Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. - Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste:
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. - Mark Hermes, Taylor McLaughlin, Mitul Luhar, Quan Nguyen:
Locomotion and Control of a Friction-Driven Tripedal Robot. - Risul Islam, Andrey Y. Lokhov, Nathan Lemons, Michalis Faloutsos:
Mobility Map Inference from Thermal Modeling of a Building. - Jixuan Zhi, Lap-Fai Yu, Jyh-Ming Lien:
Designing Human-Robot Coexistence Space. - Peng Sun, Gabriel T. S. Draughon, Jerome P. Lynch:
An Autonomous Approach to Measure Social Distances and Hygienic Practices during COVID-19 Pandemic in Public Open Spaces. - George Obaido, Abejide Ade-Ibijola, Hima Vadapalli:
Synthesis of SQL Queries from South African Local Language Narrations. - Hugo A. Akitaya, Matias Korman, Oliver Korten, Diane L. Souvaine, Csaba D. Tóth:
Reconfiguration of Connected Graph Partitions via Recombination. - Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev:
Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks. - Valts Blukis, Ross A. Knepper, Yoav Artzi:
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following. - Thomas Erlebach, Michael Hoffmann, Murilo S. de Lima, Nicole Megow, Jens Schlöter:
Untrusted Predictions Improve Trustable Query Policies. - Youya Xia, Yifan Tang, Yuhan Hu, Guy Hoffman:
Privacy-Preserving Pose Estimation for Human-Robot Interaction. - Shahriar Iravanian:
Discovery of the Hidden State in Ionic Models Using a Domain-Specific Recurrent Neural Network. - Marco Del Tredici, Raquel Fernández:
Words are the Window to the Soul: Language-based User Representations for Fake News Detection. - Shurui Li, Mario Miscuglio, Volker J. Sorger, Puneet Gupta:
Channel Tiling for Improved Performance and Accuracy of Optical Neural Network Accelerators. - (Withdrawn) Time and Space Optimal Exact Majority Population Protocols.
- Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Andreas Boes, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Damien G. Hicks, Roberto Morandotti, Arnan Mitchell, David J. Moss:
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks. - Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul S. Babyn:
Automatic classification of multiple catheters in neonatal radiographs with deep learning. - Ali Akbar Septiandri, Aditiawarman, Roy Tjiong, Erlina Burhan, Anuraj Shankar:
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening. - Guanyi Chen, Kees van Deemter:
Lessons from Computational Modelling of Reference Production in Mandarin and English. - Ivan De Oliveira Nunes, Sashidhar Jakkamsetti, Gene Tsudik:
Tiny-CFA: A Minimalistic Approach for Control-Flow Attestation Using Verified Proofs of Execution. - Bai Liu, Qiaomin Xie, Eytan H. Modiano:
RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems. - Idris Abdulmumin, Bashir Shehu Galadanci, Ismaila Idris Sinan:
Iterative Self-Learning for Enhanced Back-Translation in Low Resource Neural Machine Translation. - Keren Censor-Hillel, Yi-Jun Chang, François Le Gall, Dean Leitersdorf:
Tight Distributed Listing of Cliques. - Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford:
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. - Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings:
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. - Qiao Chen, Xiangmin Jiao:
Robust and Efficient Multilevel-ILU Preconditioned Newton-GMRES for Incompressible Navier-Stokes. - Sepehr Assadi, Hrishikesh Khandeparkar, Raghuvansh R. Saxena, S. Matthew Weinberg:
Separating the Communication Complexity of Truthful and Non-Truthful Combinatorial Auctions. - Md Taufeeq Uddin, Shaun J. Canavan, Ghada Zamzmi:
Accounting for Affect in Pain Level Recognition. - Leopoldo E. Bertossi:
Declarative Approaches to Counterfactual Explanations for Classification. - Zhanhong Yan, Kaiming Yang, Zheng Wang, Bo Yang, Tsutomu Kaizuka, Kimihiko Nakano:
Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System. - Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger:
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks. - Anbu Huang:
Dynamic backdoor attacks against federated learning. - Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze:
Audio-Visual Event Recognition through the lens of Adversary. - Yao Xiao, Yijun Zhao:
Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers. - Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng:
Target Guided Emotion Aware Chat Machine. - Carlos Jerez-Hanckes, Ignacio Labarca:
Time-Domain Multiple Traces Boundary Integral Formulation for Acoustic Wave Scattering in 2D. - Dan Shiebler:
Functorial Manifold Learning and Overlapping Clustering. 1-13 - Yen-Ju Lu, Chia-Yu Chang, Yu Tsao, Jeih-weih Hung:
Speech enhancement guided by contextual articulatory information. - Xianzhen Guo, Bin Li, Daosen Zhai, Ruonan Zhang:
Performance Analysis and Optimization of a UAV-Enabled Two-Way Relaying Network under FSMH, NC, and PNC Schemes. - Joel A. Paulson, Ali Mesbah:
Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees. - Xianzhen Guo, Bin Li, Jiayi Cong, Ruonan Zhang:
Throughput maximization in a UAV-enabled Two-way Relaying System with Multi-pair Users. - Qinzi Zhang, Lewis Tseng:
Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network. - Devesh Walawalkar, Zhiqiang Shen, Marios Savvides:
Online Ensemble Model Compression using Knowledge Distillation. - Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec:
Coresets for Robust Training of Neural Networks against Noisy Labels. - Kurtis Evan David, Qiang Liu, Ruth Fong:
Debiasing Convolutional Neural Networks via Meta Orthogonalization. - Shuo Zhang, Yang Liu, Lei Xie:
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures. - Jacob Ouyang, Isaac R. Galatzer-Levy, Vidya Koesmahargyo, Li Zhang:
Direct Classification of Emotional Intensity. - Mingjie Wei, Hengxu Zhang, Fang Shi, Weijiang Chen, Vladimir V. Terzija:
Nonlinearity Characteristic of High Impedance Fault at Resonant Distribution Networks: Theoretical Basis to Identify the Faulty Feeder. - Joseph Marino:
Predictive Coding, Variational Autoencoders, and Biological Connections. - Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang:
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation. - Stefano Rini, Hirotsugu Hiramatsu:
An efficient label-free analyte detection algorithm for time-resolved spectroscopy. - David P. Woodruff, Samson Zhou:
Tight Bounds for Adversarially Robust Streams and Sliding Windows via Difference Estimators. - Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson:
Learning of Structurally Unambiguous Probabilistic Grammars. - Cun-Qiang Miao, Wen-Ting Wu:
On Relaxed Filtered Krylov Subspace Method for Non-Symmetric Eigenvalue Problems. - Yuxin Wen, Shuai Li, Kui Jia:
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. - Liang Yang, Yin Yang, Daniel Benevides da Costa, Imene Trigui:
Performance Analysis of an Interference-Limited RIS-Aided Network. - Mehak Aggarwal, Nishanth Thumbavanam Arun, Sharut Gupta, Ashwin Vaswani, Bryan Chen, Matthew D. Li, Ken Chang, Jay B. Patel, Katherine Höbel, Mishka Gidwani, Jayashree Kalpathy-Cramer, Praveer Singh:
Towards Trainable Saliency Maps in Medical Imaging. - Michael John Jacobson Jr., Prabhat Kushwaha:
Removable Weak Keys for Discrete Logarithm Based Cryptography. - Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. - Patrick C. F. Eggers, Stanislav Stefanov Zhekov:
FDD Massive MIMO - Antenna Duplex Pattern an-Reciprocity : A Missing Brick. - Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair Adversarial Instance Re-weighting. - Tara Safavi, Danai Koutra:
Generating Negative Commonsense Knowledge. - Muhammad Firoz Mridha, Abu Quwsar Ohi, M. Ameer Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir:
BanglaWriting: A multi-purpose offline Bangla handwriting dataset. - Ruth Lawrence, Nissim Ranade, Dennis P. Sullivan:
Quantitative towers in finite difference calculus approximating the continuum. - Md. Mushfiqur Rahman, Sabah Binte Noor, Fazlul Hasan Siddiqui:
Automated Large-scale Class Scheduling in MiniZinc. - Md. Mushfiqur Rahman, Nahian Muhtasim Zahin, Kazi Raiyan Mahmud, Md. Azmaeen Bin Ansar:
Automated Intersection Management with MiniZinc. - Niek Mulleners, Johan Jeuring, Bastiaan Heeren:
Model-Driven Synthesis for Programming Tutors. - David Svitov, Sergey Alyamkin:
AmphibianDetector: adaptive computation for moving objects detection. - David Radu, Mathias Berger, Antoine Dubois, Raphael Fonteneau, Hrvoje Pandzic, Yury Dvorkin, Quentin Louveaux, Damien Ernst:
Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study. - Harry Cai, Daniel Rueckert, Jonathan Passerat-Palmbach:
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments. - Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, Yanwei Fu:
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions. - Zidong Guo, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang:
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency. - Eeshan Kulkarni, Suresh Sundaram:
Full Attitude Intelligent Controller Design of a Heliquad under Complete Failure of an Actuator. - Kazuhisa Fujita:
Estimation of the number of clusters on d-dimensional sphere. - Michaël Aupetit:
Aquanims - Area-Preserving Animated Transitions based on a Hydraulic Metaphor. - Fabio Pardo:
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking. - Ina Kodrasi, Michaela Pernon, Marina Laganaro, Hervé Bourlard:
Automatic and perceptual discrimination between dysarthria, apraxia of speech, and neurotypical speech. - Ruchit Agrawal, Simon Dixon:
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment. - Alexey Kurochkin:
Discovering long term dependencies in noisy time series data using deep learning. - Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang:
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. - Goutham Ramakrishnan, Aditya Nori, Hannah Murfet, Pashmina Cameron:
Towards Compliant Data Management Systems for Healthcare ML. - Dalu Feng, Shuang Yang, Shiguang Shan, Xilin Chen:
Learn an Effective Lip Reading Model without Pains. - Guanzhong Wang, Huanhai Xin, Di Wu, Zhiyi Li, Linbin Huang, Ping Ju:
Generalized Short Circuit Ratio for Grid Strength Assessment in Inhomogeneous Multi-infeed LCC-HVDC Systems. - Michael J. Coblenz, Ariel Davis, Megan Hofmann, Vivian Huang, Siyue Jin, Max Krieger, Kyle Liang, Brian Wei, Mengchen Sam Yong, Jonathan Aldrich:
User-Centered Programming Language Design: A Course-Based Case Study. - Paul Schwerdtner, Matthias Voigt:
Structure Preserving Model Order Reduction by Parameter Optimization. - Axel Janson, Sebin Gracy, Philip E. Paré, Henrik Sandberg, Karl Henrik Johansson:
Networked Multi-Virus Spread with a Shared Resource: Analysis and Mitigation Strategies. - Caroline Jay, Robert Haines, Daniel S. Katz:
Software must be recognised as an important output of scholarly research. - Dhruv Vashisht, Harshit Rampal, Haiguang Liao, Yang Lu, Devika Shanbhag, Elias Fallon, Levent Burak Kara:
Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing. - Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis:
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion. - Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Philippe G. LeFloch, Carlos Parés, Ernesto Pimentel-García:
Well-balanced algorithms for relativistic fluids on a Schwarzschild background. - Ajay Kumar Tanwani:
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. - Matteo Macchini, Jan Frogg, Fabrizio Schiano, Dario Floreano:
Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics. - Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann A. Copestake:
Morphologically Aware Word-Level Translation. - Shayan Zargari, Mehrdad Kolivand, S. Alireza Nezamalhosseini, Bahman Abolhassani, Lawrence R. Chen, Mohammad Hossein Kahaei:
Resource Allocation of Dual-Hop VLC/RF Systems with Light Energy Harvesting. - Shayan Moini, Shanquan Tian, Jakub Szefer, Daniel E. Holcomb, Russell Tessier:
Remote Power Side-Channel Attacks on CNN Accelerators in FPGAs. - Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
The Challenge of Diacritics in Yoruba Embeddings. - Reza Maalek, Derek D. Lichti:
New Confocal Hyperbola-based Ellipse Fitting with Applications to Estimating Parameters of Mechanical Pipes from Point Clouds. - Swapnil Daga, Gokul B. Nair, Anirudha Ramesh, Rahul Sajnani, Junaid Ahmed Ansari, K. Madhava Krishna:
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View. - Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. - Daniel Katzan, Adam Morrison:
Recoverable, Abortable, and Adaptive Mutual Exclusion with Sublogarithmic RMR Complexity. - Alp Aydinoglu, Mahyar Fazlyab, Manfred Morari, Michael Posa:
Stability Analysis of Complementarity Systems with Neural Network Controllers. - Roderick Bloem, Hana Chockler, Masoud Ebrahimi, Dana Fisman, Heinz Riener:
Safety Synthesis Sans Specification. - Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. - Xin Xing, Hua Huang, Edmond Chow:
Efficient construction of an HSS preconditioner for symmetric positive definite H2 matrices. - Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong:
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. - Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. - Amanpreet Singh, Niranjan Balasubramanian:
Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents. - Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos:
Stein Variational Model Predictive Control. - Nikolaos Dimitriadis, Petros Maragos:
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra. - Simon Coghlan, Tim Miller, Jeannie Paterson:
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies. - Eungkyun Kim, Morgan Warner, Indranil Bhattacharya:
Adaptive Step Size Incremental Conductance Based Maximum Power Point Tracking (MPPT). - Abdallah Lakhdari, Amani Abusafia, Athman Bouguettaya:
Crowdsharing Wireless Energy Services. - Georg Stefan Schmid, Olivier Blanvillain, Jad Hamza, Viktor Kuncak:
Coming to Terms with Your Choices: An Existential Take on Dependent Types. - Vidhi Jain, Rohit Jena, Huao Li, Tejus Gupta, Dana Hughes, Michael Lewis, Katia P. Sycara:
Predicting Human Strategies in Simulated Search and Rescue Task. - Chandra Kundu, Lukun Zheng:
Deep multi-modal networks for book genre classification based on its cover. - Hyounghun Kim, Abhay Zala, Graham Burri, Hao Tan, Mohit Bansal:
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments. - Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta:
hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras. - Wook Lee, Frans A. Oliehoek:
Analog Circuit Design with Dyna-Style Reinforcement Learning. - Arka Mitra, Harshvardhan Srivastava, Yugam Tiwari:
IIT_kgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports. - Simon Oh, Dániel Kondor, Ravi Seshadri, Meng Zhou, Diem-Trinh Le, Moshe E. Ben-Akiva:
Spatiotemporal Characteristics of Ride-sourcing Operation in Urban Area. - Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz:
Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. - Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau:
A Large-Scale Database for Graph Representation Learning. - Deepak Maurya, Balaraman Ravindran:
Hypergraph Partitioning using Tensor Eigenvalue Decomposition. - Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
DART: aDaptive Accept RejecT for non-linear top-K subset identification. - Yi Luo, Siyi Chen, X.-G. Ma:
Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios. - Javier Navarro, Christian Wagner, Uwe Aickelin, Lynsey Green, Robert Ashford:
Measuring agreement on linguistic expressions in medical treatment scenarios. - Fulian Yin:
Influence of User Emotion on Information Propagation with Public Sentiment in the Chinese Sina-microblog. - MaungMaung AprilPyone, Hitoshi Kiya:
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks. - Dhanoop Karunakaran, Stewart Worrall, Eduardo M. Nebot:
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning. - Joshua Baker, Clio Andris, Daniel DellaPosta:
Spatial Social Network (SSN) Hot Spot Detection: Scan Methods for Non-Planar Networks. - Peng Gao, Rui Guo, Hongsheng Lu, Hao Zhang:
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization. - Gahye Lee, Seungkyu Lee:
Mode Penalty Generative Adversarial Network with adapted Auto-encoder. - Buyang Li, Shu Ma:
A high-order exponential integrator for nonlinear parabolic equations with nonsmooth initial data. - A. Torres-Hernandez, F. Brambila-Paz, C. A. Torres-Martínez:
Numerical solution using radial basis functions for multidimensional fractional partial differential equations of type Black-Scholes. - Jing Yang, James P. Wilson, Shalabh Gupta:
DARE: AI-based Diver Action Recognition System using Multi-Channel CNNs for AUV Supervision. - Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. - Riccardo Fazio:
Free Boundary Formulation for Boundary Value Problems on Semi-Infinite Intervals: An up to Date Review. - Riccardo Fazio:
Numerical Transformation Methods for a Moving-Wall Boundary Layer Flow of a Rarefied Gas Free Stream over a Moving Flat Plate. - Riccardo Fazio:
Existence and Uniqueness of BVPs Defined on Semi-Infinite Intervals: Insight from the Iterative Transformation Method. - Youngkyu Kim, Youngsoo Choi, David P. Widemann, Tarek I. Zohdi:
Efficient nonlinear manifold reduced order model. - Fanyou Wu, Yang Liu, Zhiyuan Liu, Xiaobo Qu, Rado Gazo, Eva Haviarova:
TLab: Traffic Map Movie Forecasting Based on HR-NET. - Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi:
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. - Zhaoqun Li:
Gram Regularization for Multi-view 3D Shape Retrieval. - Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: recommendation with informative sampling strategy. - Aman Chadha, Gurneet Arora, Navpreet Kaloty:
iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering. - Akshay Mete, Rahul Singh, P. R. Kumar:
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. - Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. - Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su:
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. - Heng-Chien Liou, Hsuan-Wei Lee:
Social Contagion and Associative Diffusion in Multilayer Network. - Shivaank Agarwal, Ravindra Gudi, Paresh Saxena:
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code. - Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu:
Fast Uncertainty Quantification for Deep Object Pose Estimation. - Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub:
Online Monitoring of Object Detection Performance Post-Deployment. - Pengpeng Shao, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che, Tong Liu:
Tucker decomposition-based Temporal Knowledge Graph Completion. - Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich:
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. - Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer:
Deep Shallow Fusion for RNN-T Personalization. - Shaohua Wang, Yaping Dai:
Zero Cost Improvements for General Object Detection Network. - Yuan Chang, Chao Yan, Xingyu Liu, Xiangke Wang, Han Zhou, Xiaojia Xiang, Dengqing Tang:
Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones. - Hussien Al-Hmood, Hamed S. Al-Raweshidy:
Unified Composite Distribution and Its Applications to Double Shadowed α-κ-μ Fading Channels. - Lamiaa Basyoni, Aiman Erbad, Amr Mohamed, Ahmed Refaey, Mohsen Guizani:
Proportionally Fair approach for Tor's Circuits Scheduling. - Navod Neranjan Thilakarathne, Dilani Wickramaarachchi:
Improved hierarchical role based access control model for cloud computing. - Chao Chen, Tianyu Liang, George Biros:
RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems. - Yufeng Wang, Dan Li, Xiang Li, Min Yang:
PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data. - Hongyun Xie, Linyi Huang, Wenfei Wu:
Indoor Positioning System based on Visible Light Communication for Mobile Robot in Nuclear Power Plant. - Zekun Li, Yufan Liu, Bing Li, Weiming Hu:
DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection. - Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou:
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network. - Ji Woong Kim, Peiyao Zhang, Peter Gehlbach, Iulian Iordachita, Marin Kobilarov:
Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control. - Wenyan Zhang, Ling Xu, Meng Yan, Ziliang Wang, Chunlei Fu:
A Probability Distribution and Location-aware ResNet Approach for QoS Prediction. - Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng:
User-based Network Embedding for Collective Opinion Spammer Detection. - Zhen Yang, Chi Zhang, Huiming Guo, Zhaoxiang Zhang:
Manual-Label Free 3D Detection via An Open-Source Simulator. - Ji Woong Kim, Changyan He, Muller Urias, Peter Gehlbach, Gregory D. Hager, Iulian Iordachita, Marin Kobilarov:
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration. - Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu:
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition. - Ming-Ren Chen, Ping Huang, Yu Lin, Shi-Min Cai:
SSNE: Effective Node Representation for Link Prediction in Sparse Networks. - Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini, Stefano Tubaro:
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection. - Xiaoyu Wang, Lei Yu, Houhua He, Xiaorui Gong:
MAAC: Novel Alert Correlation Method To Detect Multi-step Attack. - Miao Cheng, Xinge You:
Adaptive Matching of Kernel Means. - Guannan Hu, Wu Zhang, Hu Ding, Wenhao Zhu:
Gradient Episodic Memory with a Soft Constraint for Continual Learning. - Michael Gundall, Daniel Reti, Hans D. Schotten:
Application of Virtualization Technologies in Novel Industrial Automation: Catalyst or Show-Stopper? - Guoqiang Wu, Jun Zhu:
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? - Michael Gundall, Calvin Glas, Hans D. Schotten:
Introduction of an Architecture for Flexible Future Process Control Systems as Enabler for Industry 4.0. - Aftab Alam, Irfan Ullah, Young-Koo Lee:
Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues. - Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren:
An End-to-end Method for Producing Scanning-robust Stylized QR Codes. - Antoine Pietri, Guillaume Rousseau, Stefano Zacchiroli:
Forking Without Clicking: on How to Identify Software Repository Forks. - Boyu Ning, Zhi Chen, Zhongbao Tian, Shaoqian Li:
Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration. - Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli:
The Software Heritage Graph Dataset: Large-scale Analysis of Public Software Development History. - Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber:
Learning Associative Inference Using Fast Weight Memory. - Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig:
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization. - Gwénaël Richomme:
On sets of indefinitely desubstitutable words. - Na-Young Ahn, Dong Hoon Lee:
Secure Vehicle Communications Using Proof-of-Nonce Blockchain. - Pietro Abate, Roberto Di Cosmo, Georgios Gousios, Stefano Zacchiroli:
Dependency Solving Is Still Hard, but We Are Getting Better at It. - Daniel Lindenschmitt, Michael Karrenbauer, Hans D. Schotten:
Analyzing Current Interference Situations of Connected Devices Using Context-Information and the Centralized Broker-Approach. - David Lee, Artur Palha:
Exact spatial and temporal balance of energy exchanges within a horiztonally explicit/vertically implicit non-hydrostatic atmosphere. - Alexey V. Vishnyakov, Alexey R. Nurmukhametov:
Survey of Methods for Automated Code-Reuse Exploit Generation. - Leonid Barenboim, Harel Levin:
Secured Distributed Algorithms without Hardness Assumptions. - Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey:
Cluster-Specific Predictions with Multi-Task Gaussian Processes. - Kairit Sirts, Kairit Peekman:
Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts. - José Correa, Andrés Cristi, Laurent Feuilloley, Tim Oosterwijk, Alexandros Tsigonias-Dimitriadis:
The Secretary Problem with Independent Sampling. - Nadia Burkart, Marco F. Huber:
A Survey on the Explainability of Supervised Machine Learning. - Haoyang Wu:
The revelation principle fails when the format of each agent's strategy is an action. - Alexis-Michel Mugabushaka:
Linking Publications to Funding at Project Level: A curated dataset of publications reported by FP7 projects. - Sayak Ray Chowdhury, Rafael Oliveira:
No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach. - Wojciech Jamroga, David Mestel, Peter B. Rønne, Peter Y. A. Ryan, Marjan Skrobot:
A Survey of Requirements for COVID-19 Mitigation Strategies. Part I: Newspaper Clips. - Fabian Kneer, Erik Kamsties, Klaus Schmid:
Environment Modeling for Adaptive Systems: A Systematic Literature Review. - Nicolás Rivera, Thomas Sauerwald, John Sylvester:
Multiple Random Walks on Graphs: Mixing Few to Cover Many. - Min Yang:
TDACS: an ABAC and Trust-based Dynamic Access Control Scheme in Hadoop. - Jasna Petrovic, Mladjan Jovanovic:
Conversational agents for learning foreign languages - a survey. - Alexis-Michel Mugabushaka, Jasmin Sadat, Jorge Costa Dantas Faria:
In Search of Outstanding Research Advances: Prototyping the creation of an open dataset of "editorial highlights". - Antoine Pietri, Guillaume Rousseau, Stefano Zacchiroli:
Determining the Intrinsic Structure of Public Software Development History. - Sanqing Qu, Guang Chen, Dan Xu, Jinhu Dong, Fan Lu, Alois C. Knoll:
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection. - Jingjing Gong, Hang Yan, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Text Information Aggregation with Centrality Attention. - Tom Gustafsson:
A simple technique for unstructured mesh generation via adaptive finite elements. - Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou:
Towards a General Framework for ML-based Self-tuning Databases. - Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Antonio del Rio-Chanona:
Constrained Model-Free Reinforcement Learning for Process Optimization. - Patrick Saalfeld, Anna Schmeier, Wolfgang D'Hanis, Hermann-Josef Rothkötter, Bernhard Preim:
Student and Teacher Meet in a Shared Virtual Reality: A one-on-one Tutoring System for Anatomy Education. - Yikun Mei, Zhen Gao, Yongpeng Wu, Wei Chen, Derrick Wing Kwan Ng, Marco Di Renzo:
Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive Access. - Masashi Tsubaki, Teruyasu Mizoguchi:
On the equivalence of molecular graph convolution and molecular wave function with poor basis set. - Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan:
Do Offline Metrics Predict Online Performance in Recommender Systems? - Kwanghee Choi, Siyeong Lee:
Regularized Mutual Information Neural Estimation. - Muhammad N. ElNokrashy, Amr Hendy, Mohamed Abdelghaffar, Mohamed Afify, Ahmed Y. Tawfik, Hany Hassan Awadalla:
Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions. - Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings:
Differential Privacy Meets Maximum-weight Matching. - David A. Haggerty, Michael J. Banks, Patrick C. Curtis, Igor Mezic, Elliot W. Hawkes:
Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator. - Victor Zuanazzi:
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation. - Cédric Beaulac, Jeffrey S. Rosenthal:
Analysis of a high-resolution hand-written digits data set with writer characteristics. - José Enrique Solomon, François Charette:
A Follow-the-Leader Strategy using Hierarchical Deep Neural Networks with Grouped Convolutions. - Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. - Richard Savery, Gil Weinberg:
Shimon the Robot Film Composer and DeepScore: An LSTM for Generation of Film Scores based on Visual Analysis. - Levi Kassel, Michael Werman:
Using a Supervised Method without supervision for foreground segmentation. - Dinh Hieu Tran, Sumit Gautam, Symeon Chatzinotas, Björn E. Ottersten:
Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology. - Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren:
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. - Markus Schröder, Michael Schulze, Christian Jilek, Andreas Dengel:
Bridging the Technology Gap Between Industry and Semantic Web: Generating Databases and Server Code From RDF. - Rahul Yedida, Saad Mohammad Abrar, Cleber C. Melo-Filho, Eugene N. Muratov, Rada Chirkova, Alexander Tropsha:
Text Mining to Identify and Extract Novel Disease Treatments From Unstructured Datasets. - Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville:
Explicitly Modeling Syntax in Language Model improves Generalization. - Daniel Spokoyny, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Contextualized Number Prediction. - William Hui:
Performance of Transfer Learning Model vs. Traditional Neural Network in Low System Resource Environment. - Marcel van de Vel:
Combining the Mersenne Twister and the Xorgens Designs. - Martin Holecek:
Learning from similarity and information extraction from structured documents. - Jonathan Will, Jonathan Bader, Lauritz Thamsen:
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. - Denis Merigoux, Raphaël Monat, Jonathan Protzenko:
A Modern Compiler for the French Tax Code. - Abdelrahman Abdalla, Michele Focchi, Romeo Orsolino, Claudio Semini:
An Efficient Paradigm for Feasibility Guarantees in Legged Locomotion. - Ricardo M. Czekster:
Tools for modelling and simulating the Smart Grid. - Petr Stibinger, George Broughton, Filip Majer, Zdenek Rozsypálek, Anthony Wang, Kshitij Jindal, Alex Zhou, Dinesh Thakur, Giuseppe Loianno, Tomás Krajník, Martin Saska:
Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment. - Gaetana Ruggiero, Albert Gatt, Malvina Nissim:
Datasets and Models for Authorship Attribution on Italian Personal Writings. - Mohammad Jafarian, Alireza Soroudi, Andrew Keane:
Resilient Identification of Distribution Network Topology. - Michael Pradel, Satish Chandra:
Neural Software Analysis. - Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson:
Corrupted Contextual Bandits with Action Order Constraints. - Markus Schröder, Christian Jilek, Michael Schulze, Andreas Dengel:
The Person Index Challenge: Extraction of Persons from Messy, Short Texts. - António Branco, João Rodrigues, Malgorzata Salawa, Ruben Branco, Chakaveh Saedi:
Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness. - Diego Díaz-Domínguez, Gonzalo Navarro:
A grammar compressor for collections of reads with applications to the construction of the BWT. - Gonzague Henri, Tanguy Levent, Avishai Halev, Réda Alami, Philippe Cordier:
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research. - Divya Kothandaraman, Athira M. Nambiar, Anurag Mittal:
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation. - Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage:
Towards Map-Based Validation of Semantic Segmentation Masks. - Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos, Sek Chai:
Subtensor Quantization for Mobilenets. - Veda Sunkara, Matthew Purri, Bertrand Le Saux, Jennifer Adams:
Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation. - Naveen Prakash:
A Novel Numerical Method for Modeling Anisotropy in Discretized Bond-Based Peridynamics. - Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang, Abdallah Benzine:
Hierarchical Complementary Learning for Weakly Supervised Object Localization. - Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah:
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. - Anjith George, Sébastien Marcel:
On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing. - Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. - Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson:
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. - Boyao Li, Tao Lu, Jiayi Li, Ning Lu, Yinghao Cai, Shuo Wang:
ACDER: Augmented Curiosity-Driven Experience Replay. - Giuseppe Pirrò:
Fact Checking via Path Embedding and Aggregation. - Venelin Kovatchev, Phillip Smith, Mark G. Lee, Imogen Grumley Traynor, Irene Luque Aguilera, Rory T. Devine:
"What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence. - Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao:
Scaled-YOLOv4: Scaling Cross Stage Partial Network. - Nicola Landro, Ignazio Gallo, Riccardo La Grassa:
Mixing ADAM and SGD: a Combined Optimization Method. - Johann Laconte, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Laurent Malaterre, Christophe Debain, Romuald Aufrère:
Lambda-Field: A Continuous Counterpart Of The Bayesian Occupancy Grid For Risk Assessment And Safe Navigation. - Joel Q. L. Chang, Qiuyu Zhu, Vincent Y. F. Tan:
Risk-Constrained Thompson Sampling for CVaR Bandits. - Léo Rannou, Clémence Magnien, Matthieu Latapy:
Strongly Connected Components in Stream Graphs: Computation and Experimentations. - Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari:
Scalable Reinforcement Learning Policies for Multi-Agent Control. - Seon Taek Oh, Ji-Hwan You, Young-Keun Kim:
FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving. - Jaber Valinejad, Lamine Mili, C. Natalie van der Wal:
Research Needed in Computational Social Science for Power System Reliability, Resilience, and Restoration. - Bishal Santra, Potnuru Anusha, Pawan Goyal:
Hierarchical Transformer for Task Oriented Dialog Systems. - Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo, Matthew Lentz, Aastha Mehta, Bernhard Schölkopf:
PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation. - Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini:
Indirection Stream Semantic Register Architecture for Efficient Sparse-Dense Linear Algebra. - Ha-Thanh Nguyen, Hai-Yen Thi Vuong, Phuong Minh Nguyen, Tran Binh Dang, Quan Minh Bui, Vu Trong Sinh, Chau Minh Nguyen, Vu D. Tran, Ken Satoh, Minh Le Nguyen:
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020. - Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer:
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. - Alexandra Luccioni, Emily Baylor, Nicolas Duchene:
Analyzing Sustainability Reports Using Natural Language Processing. - Naama Tepper, Naama Zwerdling, David Naori, Inbal Ronen:
Answer Identification in Collaborative Organizational Group Chat. - Nastassya Horlava, Alisa Mironenko, Sebastian Niehaus, Sebastian Wagner, Ingo Roeder, Nico Scherf:
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data. - Jan Martin Keil:
Why Not to Use Binary Floating Point Datatypes in RDF. - Jaroslaw Byrka, Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Michal Wlodarczyk:
To Close Is Easier Than To Open: Dual Parameterization To k-Median. - Nariman Ammar, Arash Shaban-Nejad:
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. - Alejandro Moreo, Fabrizio Sebastiani:
Tweet Sentiment Quantification: An Experimental Re-Evaluation. - Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. - Sharut Gupta, Praveer Singh, Ken Chang, Mehak Aggarwal, Nishanth Thumbavanam Arun, Liangqiong Qu, Katharina Hoebel, Jay B. Patel, Mishka Gidwani, Ashwin Vaswani, Daniel L. Rubin, Jayashree Kalpathy-Cramer:
The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. - Calvin Beideman, Karthekeyan Chandrasekaran, Sagnik Mukhopadhyay, Danupon Nanongkai:
Faster connectivity in low-rank hypergraphs via expander decomposition. - Giuseppe Cotardo, Alberto Ravagnani:
Parameters of Combinatorial Neural Codes. - Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro:
Combining GANs and AutoEncoders for Efficient Anomaly Detection. - Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. - Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun:
Recovering and Simulating Pedestrians in the Wild. - (Withdrawn) Mathematical Approach in Automata and Automata Association.
- Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi:
Stylized Neural Painting. - Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters:
Learning from Task Descriptions. - Shinichi Kikuchi, Chisa Takano, Masaki Aida:
Technology to Counter Online Flaming Based on the Frequency-Dependent Damping Coefficient in the Oscillation Model. - Riccardo Dondi, Florian Sikora:
The Longest Run Subsequence Problem: Further Complexity Results. - Yao-Chun Chan, Mingchen Li, Samet Oymak:
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake? - Yong Deng, Min Dong:
Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform File Popularity. - Alexandra Gkolia, Nikhil Fernandes, Nicolas Pizzo, James H. Davenport, Akshar Nair:
The Influence of Domain-Based Preprocessing on Subject-Specific Clustering. - Paige Rodeghero, Thomas Zimmermann, Brian Houck, Denae Ford:
Please Turn Your Cameras On: Remote Onboarding of Software Developers during a Pandemic. - Mohammad Gharbieh, Hesham ElSawy, Mustafa Emara, Hong-Chuan Yang, Mohamed-Slim Alouini:
Grant-Free Opportunistic Uplink Transmission in Wireless-powered IoT: A Spatio-temporal Model. - Naoki Hirakura, Masaki Aida, Konosuke Kawashima:
A Model of Polarization on Social Media Caused by Empathy and Repulsion. - Arwen Bradley, Jason Klivington, Joseph Triscari, Rudolph van der Merwe:
Cinematic-L1 Video Stabilization with a Log-Homography Model. - Hui Zhang, Quanming Yao:
Decoupling Representation and Classifier for Noisy Label Learning. - Matt Jacobs, Wonjun Lee, Flavien Léger:
The back-and-forth method for Wasserstein gradient flows. - Simon Le Cleac'h, Mac Schwager, Zachary Manchester:
LUCIDGames: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning. - Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan:
On the performance of downlink NOMA in underlay spectrum sharing. - Matthew J. Colbrook, Anders C. Hansen:
On the infinite-dimensional QR algorithm. - Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez:
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. - Johann Lange:
Obstacle avoidance-driven controller for safety-critical aerial robots. - Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. - Bahram Farhadinia, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
Higher order hesitant fuzzy Choquet integral operator and its application to multiple criteria decision making. - Jan Egger, Antonio Pepe, Christina Gsaxner, Jianning Li:
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact. - Sahithi Ankireddy:
Assistive Diagnostic Tool for Brain Tumor Detection using Computer Vision. - Johann Brehmer, Sebastian Macaluso, Duccio Pappadopulo, Kyle Cranmer:
Hierarchical clustering in particle physics through reinforcement learning. - Noy Cohen-Shapira, Lior Rokach:
Automatic selection of clustering algorithms using supervised graph embedding. - Soroosh Tayebi Arasteh, Adam Kalisz:
Conversion Between Bezier and Catmull-Rom Splines. - Anmar I. Arif, Bai Cui, Zhaoyu Wang:
Switching Device-Cognizant Sequential Distribution System Restoration. - Edmilson da Silva Morais, Hong-Kwang Jeff Kuo, Samuel Thomas, Zoltán Tüske, Brian Kingsbury:
End-to-end spoken language understanding using transformer networks and self-supervised pre-trained features. - Richard Lin, Björn Hartmann:
Opportunities and Challenges for Circuit Board Level Hardware Description Languages. - Chien-Wei Lin, Vincent Auvray, Daniel Elkind, Arijit Biswas, Maryam Fazel-Zarandi, Nehal Belgamwar, Shubhra Chandra, Matt Zhao, Angeliki Metallinou, Tagyoung Chung, Charlie Shucheng Zhu, Suranjit Adhikari, Dilek Hakkani-Tür:
Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems. - Tim Hellemans, Benny Van Houdt:
Improved Load Balancing in Large Scale Systems using Attained Service Time Reporting. - Isaac C. Sheff, Xinwen Wang, Robbert van Renesse, Andrew C. Myers:
Heterogeneous Paxos: Technical Report. - Michael T. Lash, W. Nick Street:
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification. - M. Ali Vosoughi, Axel Wismüller:
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks. - Olga Scrivner:
A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French. - Camilo Castellanos, Carlos A. Varela, Darío Correal:
ACCORDANT: A Domain Specific Model and DevOpsApproach for Big Data Analytics Architectures. - Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. - Lea Dujic Rodic, Tomislav Zupanovic, Toni Perkovic, Petar Solic, Joel J. P. C. Rodrigues:
Machine Learning and Soil Humidity Sensing: Signal Strength Approach. - Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James M. Rehg, Stefan Lee, Peter Anderson:
Where Are You? Localization from Embodied Dialog. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19. - Aditya Devarakonda, James Demmel:
Avoiding Communication in Logistic Regression. - Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan:
A Two-Phase Approach for Abstractive Podcast Summarization. - Peng-Jen Chen, Ann Lee, Changhan Wang, Naman Goyal, Angela Fan, Mary Williamson, Jiatao Gu:
Facebook AI's WMT20 News Translation Task Submission. - Harrison Wilde, Jack Jewson, Sebastian J. Vollmer, Chris C. Holmes:
Foundations of Bayesian Learning from Synthetic Data. - Varun Mishra, Florian Künzler, Jan-Niklas Kramer, Elgar Fleisch, Tobias Kowatsch, David Kotz:
Detecting Receptivity for mHealth Interventions in the Natural Environment. - Vimal Radhakrishnan, Omid Taghizadeh, Rudolf Mathar:
Asymptotic Rate Analysis for Impairments-Aware Multi-Carrier FD Massive MIMO Relay Networks utilizing MRT/MRC Strategy. - Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Deep Subspace Clustering Networks. - Cristina Gena, Claudio Mattutino, Davide Cellie, Enrico Mosca:
Educational robotics for children and their teachers. - Omid Hajihassani, Omid Ardakanian, Hamzeh Khazaei:
Privacy-preserving Data Analysis through Representation Learning and Transformation. - Ehsan Emad Marvasti, Arash Raftari, Yaser P. Fallah, Rui Guo, Hongsheng Lu:
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors. - Jiacheng Yuan, Nicolai Häni, Volkan Isler:
Multi-Step Recurrent Q-Learning for Robotic Velcro Peeling. - Carla Pérez-Almendros, Luis Espinosa Anke, Steven Schockaert:
Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities. - Rachel Dorn, Alicia L. Nobles, Masoud Rouhizadeh, Mark Dredze:
Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data. - Pedro H. Barros, Fabiane Queiroz, Flavio V. D. de Figueiredo, Jefersson A. dos Santos, Heitor S. Ramos:
A New Similarity Space Tailored for Supervised Deep Metric Learning. - Nicolas Aragon, Marco Baldi, Jean-Christophe Deneuville, Karan Khathuria, Edoardo Persichetti, Paolo Santini:
Cryptanalysis of a code-based full-time signature. - Anas Chaaban, Zouheir Rezki, Mohamed-Slim Alouini:
On the Capacity of Intensity-Modulation Direct-Detection Gaussian Optical Wireless Communication Channels: A Tutorial. - Yang Jiao, Guangming Shi, Trac D. Tran:
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation. - Yang Jiao, Yi Niu, Trac D. Tran, Guangming Shi:
2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning. - Michael Wessel, Edgar Kalns, Girish Acharya, Andreas Kathol:
Widening the Dialogue Workflow Modeling Bottleneck in Ontology-Based Personal Assistants. - Manish Motwani, Yuriy Brun:
Automatically Repairing Programs Using Both Tests and Bug Reports. - Li Chen, David Yang, Purvi Goel, Ilknur Kabul:
Robust Deep Learning with Active Noise Cancellation for Spatial Computing. - Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning. - Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, Nikil D. Dutt:
AXES: Approximation Manager for Emerging Memory Architectures. - Henrique Aguiar, Mauro D. Santos, Peter J. Watkinson, Tingting Zhu:
Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease. - Achyutha Bharath Rao, Hui Li, Krishna Krishnan, Enkhsaikhan Boldsaikhan, Hongsheng He:
Knowledge-Augmented Dexterous Grasping with Incomplete Sensing. - Nasim Nematzadeh, David M. W. Powers, Trent W. Lewis:
Vis-CRF, A Classical Receptive Field Model for VISION. - Hiroto Yasumi, Fukuhito Ooshita, Michiko Inoue, Sébastien Tixeuil:
Uniform Bipartition in the Population Protocol Model with Arbitrary Communication Graphs. - Mingjie Sun, Jianguo Li, Changshui Zhang:
Extreme Value Preserving Networks. - Mariarosa Mazza, Jennifer Pestana:
The asymptotic spectrum of flipped multilevel Toeplitz matrices and of certain preconditionings. - Saurabh Joshi, Gautam Muduganti:
GPURepair: Automated Repair of GPU Kernels. - Yonghui Bo, Yushun Wang, Wenjun Cai:
Arbitrary high-order linearly implicit energy-preserving algorithms for Hamiltonian PDEs. - Yun Chen, Xingqin Lin, Talha Khan, Mehrnaz Afshang, Mohammad Mozaffari:
5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach. - Minoo Hosseinzadeh, Andrew Wachal, Hana Khamfroush, Daniel E. Lucani:
Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems. - Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji:
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. - Puneet Kumar, Balasubramanian Raman:
Domain Adaptation based Technique for Image Emotion Recognition using Pre-trained Facial Expression Recognition Models. - Nail A. Gumerov, Ramani Duraiswami:
Laplace Green's Functions for Infinite Ground Planes with Local Roughness. - Jinho Choi:
Data-aided Sensing for Distributed Detection. - Tong Wang, Maytal Saar-Tsechansky:
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness. - Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Lu Qin, Yuting Zhang:
Efficient and Effective Community Search on Large-scale Bipartite Graphs. - DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi:
Reinforcement Learning of Graph Neural Networks for Service Function Chaining. - Gahye Lee, Seungkyu Lee:
Sub-clusters of Normal Data for Anomaly Detection. - Kaiping Chen, Anfan Chen, Jingwen Zhang, Jingbo Meng, Cuihua Shen:
Conspiracy and debunking narratives about COVID-19 origination on Chinese social media: How it started and who is to blame. - Xiaoyuan Ni, Sizhe Song, Yu-Wing Tai, Chi-Keung Tang:
Semi-Supervised Few-Shot Atomic Action Recognition. - Lasitha Weerakoon, Zepeng Ye, Rahul Subramonian Bama, Elisabeth Smela, Miao Yu, Nikhil Chopra:
Adaptive Tracking Control of Soft Robots using Integrated Sensing Skin and Recurrent Neural Networks. - Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon R. Arridge, Bangti Jin:
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. - Xiaoling Long, Qingwen Xu, Yijun Yuan, Zhenpeng He, Sören Schwertfeger:
Improved Visual-Inertial Localization for Low-cost Rescue Robots. - Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Transducer Adaptive Ultrasound Volume Reconstruction. - Kaiwen Shen, Chuhan Wang, Minglei Guo, Xiaofeng Zheng, Chaoyi Lu, Baojun Liu, Yuxuan Zhao, Shuang Hao, Haixin Duan, Qingfeng Pan, Min Yang:
Weak Links in Authentication Chains: A Large-scale Analysis of Email Sender Spoofing Attacks. - Yifei Simon Shao, Chen Chao, Shreyas Kousik, Ram Vasudevan:
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control. - Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. - Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang:
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks. - Zhenghao Zhang, Jianbin Huang, Qinglin Tan:
Association Rules Enhanced Knowledge Graph Attention Network. - Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff:
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. - Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. - Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla:
Shared Cross-Modal Trajectory Prediction for Autonomous Driving. - Shayne Waldron:
A variational characterisation of projective spherical designs over the quaternions. - Yueyue Dai, Ke Zhang, Sabita Maharjan, Yan Zhang:
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond. - William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution. - Yash Khanna:
Exact recovery of Planted Cliques in Semi-random graphs. - Guillaume Ducoffe:
Optimal diameter computation within bounded clique-width graphs. - Yueyue Dai, Du Xu, Ke Zhang, Sabita Maharjan, Yan Zhang:
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks. - Jianyi Yang, Shaolei Ren:
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning. - Vignesh Balaji, Brandon Lucia:
Optimizing Graph Processing and Preprocessing with Hardware Assisted Propagation Blocking. - János Végh:
Revising the classic computing paradigm and its technological implementations. - Priyanka Dutta, Willy Susilo, Dung Hoang Duong, Partha Sarathi Roy:
Collusion-Resistant Identity-based Proxy Re-Encryption: Lattice-based Constructions in Standard Model. - Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal:
Learning Dense Rewards for Contact-Rich Manipulation Tasks. - Seong-Ho Lee, Seung Hwan Bae:
SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation. - Andrei Nicolae:
Deep Learning Framework From Scratch Using Numpy. - Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer:
Meta Automatic Curriculum Learning. - Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng:
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation. - Antonio Falcó, Wolfgang Hackbusch, Anthony Nouy:
Geometry of tree-based tensor formats in tensor Banach spaces. - Heyang Xue, Shan Yang, Yi Lei, Lei Xie, Xiulin Li:
Learn2Sing: Target Speaker Singing Voice Synthesis by learning from a Singing Teacher. - Xiong Wang, Zhuoyuan Yao, Xian Shi, Lei Xie:
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter. - (Withdrawn) Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels.
- Amr Alanwar, Anne Koch, Frank Allgöwer, Karl Henrik Johansson:
Data-Driven Reachability Analysis Using Matrix Zonotopes. - Yutong Zhang, Boya Di, Hongliang Zhang, Jinlong Lin, Yonghui Li, Lingyang Song:
Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications. - Honglin Yuan, Manzil Zaheer, Sashank J. Reddi:
Federated Composite Optimization. - Yi Lei, Shan Yang, Lei Xie:
Fine-grained Emotion Strength Transfer, Control and Prediction for Emotional Speech Synthesis. - Haimiao Mo, Shuai Ding, Shanlin Yang, Xi Zheng, Athanasios V. Vasilakos:
DLRRMS: Deep Learning based Respiratory Rate Monitoring System using Mobile Robots and Edges. - Ali Shahin Shamsabadi, Francisco Sepúlveda Teixeira, Alberto Abad, Bhiksha Raj, Andrea Cavallaro, Isabel Trancoso:
FoolHD: Fooling speaker identification by Highly imperceptible adversarial Disturbances. - Joseph Lubars, Harsh Gupta, Adnan Raja, R. Srikant, Liyun Li, Xinzhou Wu:
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. - Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Close Category Generalization. - Stefano Zacchiroli:
Gender Differences in Public Code Contributions: a 50-year Perspective. - Simon Phipps, Stefano Zacchiroli:
Continuous Open Source License Compliance. - Utku Görkem Ketenci, Tolga Kurt, Selim Önal, Cenk Erbil, Sinan Aktürkoglu, Hande Serban Ilhan:
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering. - Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman:
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19. - Maren Scheel, Simon Peter, Remco I. Leine, Malte Krack:
A Phase Resonance Approach for Modal Testing of Structures with Nonlinear Dissipation. - Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt:
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. - Natalia Czyzewska, Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga:
On mathematical aspects of evolution of dislocation density in metallic materials. - Kunhong Yu, Yuze Zhang:
Digging Deeper into CRNN Model in Chinese Text Images Recognition. - Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram:
Generalized Continual Zero-Shot Learning. - Pouya Agheli, Mohammad Javad Emadi, Hamzeh Beyranvand:
Designing Cost- and Energy-Efficient Cell-Free Massive MIMO Network with Fiber and FSO Fronthaul Links. - Sean McGregor:
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. - Marco Trombini, Paolo Borro, Sebastiano Ziola, Silvana G. Dellepiane:
A Digital Image Processing Approach for Hepatic Diseases Staging based on the Glisson's Capsule. - Jiahe Cui, Jianwei Niu, Zhenchao Ouyang, Yunxiang He, Dian Liu:
ACSC: Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems. - Frederik Hagelskjær, Anders Glent Buch:
Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization. - Marvin Chancán, Michael Milford:
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition. - Maren Scheel, Gleb Kleyman, Ali Tatar, Matthew R. W. Brake, Simon Peter, Jean-Philippe Noël, Matthew S. Allen, Malte Krack:
Experimental assessment of polynomial nonlinear state-space and nonlinear-mode models for near-resonant vibrations. - Haoxiang Shi, Cen Wang:
Self-supervised Document Clustering Based on BERT with Data Augment. - Naoki Sugimoto, Yoshihito Ebine, Kiyoharu Aizawa:
Building Movie Map - A Tool for Exploring Areas in a City - and its Evaluation. - Maren Scheel, Tobias Weigele, Malte Krack:
Challenging an experimental nonlinear modal analysis method with a new strongly friction-damped structure. - Zhaoyi Wan, Yimin Chen, Sutao Deng, Cong Yao, Jiebo Luo:
Slender Object Detection: Diagnoses and Improvements. - Silin Guo, Jay Liu, Zhongzhou Du, Wenzhong Liu:
Improving magnetic nanothermometry accuracy through mixing-frequency excitation. - Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari:
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views. - Christiane Kuhn, Friederike Kitzing, Thorsten Strufe:
SoK on Performance Bounds in Anonymous Communication. - Faheem Zafar, Abid Khan, Saif Ur Rehman Malik, Adeel Anjum, Mansoor Ahmed:
MobChain: Three-Way Collusion Resistance in Witness-Oriented Location Proof Systems Using Distributed Consensus. - Wei Zhu:
MVP-BERT: Redesigning Vocabularies for Chinese BERT and Multi-Vocab Pretraining. - Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh:
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization. - Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen:
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game. - Minyoung Kim, Vladimir Pavlovic:
Recursive Inference for Variational Autoencoders. - Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego:
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet. - Hongqiang Du, Xiaohai Tian, Lei Xie, Haizhou Li:
Optimizing voice conversion network with cycle consistency loss of speaker identity. - Thomas Seiller, Jakob Grue Simonsen:
Agafonov's Theorem for finite and infinite alphabets and probability distributions different from equidistribution. - Vineeth S. Varma, Irinel-Constantin Morarescu, Samson Lasaulce, Samuel Martin:
Marketing resource allocation in duopolies over social networks. - Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models. - Olivier Rukundo:
Normalized Weighting Schemes for Image Interpolation Algorithms. - Osman Berke Güney, Muhtasham Oblokulov, Huseyin Ozkan:
A Deep Neural Network for SSVEP-based Brain Computer Interfaces. - Weiming Che, Fulvio Forni:
A tunable mixed feedback oscillator. - Michel De Lara:
Optimal Joint Allocation of Efforts in Inclusive Fitness by Related Individuals. - Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré:
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers. - Shreyas Sheshadri, Harsh Maheshwari, Avijit Saha, Samik Datta, Shashank Jain, Disha Makhija, Anuj Nagpal, Sneha Shukla, Suyash S:
Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace. - Jianlong Yuan, Zelu Deng, Shu Wang, Zhenbo Lui:
Multi Receptive Field Network for Semantic Segmentation. - Burak Hasircioglu, Deniz Gündüz:
Private Wireless Federated Learning with Anonymous Over-the-Air Computation. - Mao Shan, Karan Narula, Ricky Wong, Stewart Worrall, Malik Khan, Paul Alexander, Eduardo M. Nebot:
Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations. - Petr N. Vabishchevich:
Splitting Schemes for Some Second-Order Evolution Equations. - Loet Leydesdorff, Caroline S. Wagner, Lin Zhang:
Are University Rankings Statistically Significant? A Comparison among Chinese Universities and with the USA. - Yiding Lin, Xiang Wang, Lei-Hong Zhang:
Solving Symmetric and Positive Definite Second-Order Cone Linear Complementarity Problem by A Rational Krylov Subspace Method. - Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. - Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar:
Learning outside the Black-Box: The pursuit of interpretable models. - Tuomo Lahtinen, Lauri Sintonen, Hannu Turtiainen, Andrei Costin:
Feasibility Study on CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety. Jyvaskyla - Case-study of the First City to Benefit from CCTV-aware Technology. (Preprint). - Heinz W. Engl, A. Leitão:
A Mann iterative regularization method for elliptic Cauchy problems. - Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Yiming Xie, Richard Mortier, Hamed Haddadi:
The Case for Retraining of ML Models for IoT Device Identification at the Edge. - Vivek F. Farias, Andrew A. Li, Deeksha Sinha:
Optimizing Offer Sets in Sub-Linear Time. - Dengke Wang, Marco Giordani, Mohamed-Slim Alouini, Michele Zorzi:
The Potential of Multi-Layered Hierarchical Non-Terrestrial Networks for 6G. - Zhichao Wang, Wenshuo Ge, Xiong Wang, Shan Yang, Wendong Gan, Haitao Chen, Hai Li, Lei Xie, Xiulin Li:
Accent and Speaker Disentanglement in Many-to-many Voice Conversion. - Jing Zhang, Dacheng Tao:
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things. - P. Aditya Sreekar, Ujjwal Tiwari, Anoop M. Namboodiri:
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation. - Nanzhe Wang, Haibin Chang, Dongxiao Zhang:
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. - Longhui Wei, Lingxi Xie, Jianzhong He, Jianlong Chang, Xiaopeng Zhang, Wengang Zhou, Houqiang Li, Qi Tian:
Can Semantic Labels Assist Self-Supervised Visual Representation Learning? - Qing Wang, Wei Rao, Pengcheng Guo, Lei Xie:
Adversarial Training for Multi-domain Speaker Recognition. - Zijun Sun, Chun Fan, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li:
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining. - Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video. - Philipp Kügler, António Leitão:
Mean value iterations for nonlinear elliptic Cauchy problems. - Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad:
Exploring Self-Attention for Visual Odometry. - Kijung Kim:
On k-rainbow domination in middle graphs. - Hannes Leeb:
A Tale of Two Referees. - Irinel-Constantin Morarescu, Vineeth S. Varma, Lucian Busoniu, Samson Lasaulce:
Space-time budget allocation policy design for viral marketing. - Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang:
A Review of Generalized Zero-Shot Learning Methods. - Jing Yang, Fang-Wei Fu:
New (k, l, m)-verifiable multi-secret sharing schemes based on XTR public key system. - Zerong Xi, Gita Sukthankar:
Leveraging the Variance of Return Sequences for Exploration Policy. - P. Aditya Sreekar, Ujjwal Tiwari, Anoop M. Namboodiri:
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS. - Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Juergen Gall:
3D CNNs with Adaptive Temporal Feature Resolutions. - Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer:
Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. - Birgitta Dresp-Langley, Ole Kristian Ekseth, Jan Fesl, Seiichi Gohshi, Marc Kurz, Hans-Werner Sehring:
Occams Razor for Big Data? On Detecting Quality in Large Unstructured Datasets. - Aditya S. Rajasekaran, Omar Maraqa, Hamza Umit Sokun, Halim Yanikomeroglu, Saad Al-Ahmadi:
User Clustering in mmWave-NOMA Systems with User Decoding Capability Constraints for B5G Networks. - Dilusha Weeraddana, Sudaraka Mallawaarachchi, Tharindu Warnakula, Zhidong Li, Yang Wang:
Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis. - Jessica Pan, Joseph A. Libera, Noah H. Paulson, Marius Stan:
Flame Stability Analysis of Flame Spray Pyrolysis by Artificial Intelligence. - Xi Zhang, Xiaolin Wu:
On Numerosity of Deep Neural Networks. - Zhigang Jia, Qiyu Jin, Michael K. Ng, Xile Zhao:
Non-Local Robust Quaternion Matrix Completion for Large-Scale Color Images and Videos Inpainting. - Wito Engelke, Talha Bin Masood, Jakob Beran, Rodrigo Caballero, Ingrid Hotz:
Topology-Based Feature Design and Tracking for Multi-Center Cyclones. - Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. - Tao Li, Shan Yang, Liumeng Xue, Lei Xie:
Controllable Emotion Transfer For End-to-End Speech Synthesis. - Venkatraman Narayanan, Bala Murali Manoghar, Rama Prashanth RV, Aniket Bera:
SeekNet: Improved Human Instance Segmentation via Reinforcement Learning Based Optimized Robot Relocation. - Precious Ugo Abara, Sandra Hirche:
Fisher Information of a Family of Generalized Normal Distributions. - Yuheng Wang:
Loss Comparison of Electric Vehicle Fuel Cell Integration Methods. - Pooja Guhan, Manas Agarwal, Naman Awasthi, Gloria Reeves, Dinesh Manocha, Aniket Bera:
ABC-Net: Semi-Supervised Multimodal GAN-based Engagement Detection using an Affective, Behavioral and Cognitive Model. - Nina M. Varney, Vijayan K. Asari, Quinn Graehling:
Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers. - Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox:
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. - Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. - Gabi Shalev, Gal-Lev Shalev, Joseph Keshet:
Redesigning the classification layer by randomizing the class representation vectors. - Aria Khoshsirat:
Uncertainty Modelling in Deep Neural Networks for Image Data. - Videsh Suman, Aniket Bera:
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks. - Julian D. Schiller, Sven Knüfer, Matthias A. Müller:
Robust Stability of Suboptimal Moving Horizon Estimation using an Observer-Based Candidate Solution. - Yu Yan, Nan Jiang, Hongzhi Wang, Yutong Wang, Chang Liu, Yuzhuo Wang:
Multi-SQL: An extensible multi-model data query language. - Nicolai Dorka, Johannes Meyer, Wolfram Burgard:
Modality-Buffet for Real-Time Object Detection. - Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun:
Fault-Aware Robust Control via Adversarial Reinforcement Learning. - Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy:
Control Strategies for Autonomous Vehicles. - Antoine Zurek, Ansgar Jüngel:
A convergent structure-preserving finite-volume scheme for the Shigesada-Kawasaki-Teramoto population system. - Jagriti Agrawal, Amruta Yelamanchili, Steve A. Chien:
Using Explainable Scheduling for the Mars 2020 Rover Mission. - Johannes Pöppelbaum, Andreas Schwung:
Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention. - Rongxing Hu, Yiyan Li, Si Zhang, Ashwin Shirsat, Valliappan Muthukaruppan, Wenyuan Tang, Mesut E. Baran, David Lubkeman, Ning Lu:
A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System. - Salhazan Nasution, Mohd Hanafi Mohd Yasin, Noraidah Sahari:
One Stop Career Centre for People with Disabilities. - Daniel L. Felps, Amelia D. Schwickerath, Joyce D. Williams, Trung N. Vuong, Alan Briggs, Matthew Hunt, Evan Sakmar, David D. Saranchak, Tyler Shumaker:
Bootstrap Aggregation for Point-based Generalized Membership Inference Attacks. - Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Global Road Damage Detection: State-of-the-art Solutions. - Raúl Pardo, Willard Rafnsson, Christian W. Probst, Andrzej Wasowski:
Privug: Quantifying Leakage using Probabilistic Programming for Privacy Risk Analysis. - Mohammed Sharafath Abdul Hameed, Md Muzahid Khan, Andreas Schwung:
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell. - Ignat Georgiev, Christoforos Chatzikomis, Timo Völkl, Joshua Smith, Michael N. Mistry:
Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing. - Shan Lin, Fangbo Qin, Haonan Peng, Randall A. Bly, Kris S. Moe, Blake Hannaford:
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video. - Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. - Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya:
Stochastic Client Selection for Federated Learning with Volatile Clients. - Minglei Lu, Yu Guo, Fei Wang, Zheng Dang:
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task. - Hongru Wang, Min Li, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System. - David Piorkowski, Daniel González, John T. Richards, Stephanie Houde:
Towards evaluating and eliciting high-quality documentation for intelligent systems. - Evans Doe Ocansey, Carsten Schneider:
Representation of hypergeometric products of higher nesting depths in difference rings. - Cory E. Merkel:
Exploring Energy-Accuracy Tradeoffs in AI Hardware. - Erick Carvajal Barboza, Sara Jacob, Mahesh Ketkar, Michael Kishinevsky, Paul Gratz, Jiang Hu:
Automatic Microprocessor Performance Bug Detection. - Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Towards Meta-Algorithm Selection. - Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier:
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization. - Jennifer Cole:
The COVID19 infodemic. The role and place of academics in science communication. - Jonathan Ventura:
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. - Rafael Hanashiro, Jacob D. Abernethy:
Linear Separation via Optimism. - Guilherme Martignago Zilli, Wei-Ping Zhu:
Tensor-Decomposition-based Hybrid Beamforming Design for mmWave OFDM Massive MIMO Communications. - Maria Giuseppina Chiara Nestola, Marco Favino:
A novel equi-dimensional finite element method for flow and transport in fractured porous media satisfying discrete maximum principle and conservation properties. - Sayandeep Sanyal, Antonio Anastasio Bruto da Costa, Pallab Dasgupta:
Recurrence in Dense-time AMS Assertions. - Arun Jambulapati, Aaron Sidford:
Ultrasparse Ultrasparsifiers and Faster Laplacian System Solvers. - Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Àgata Lapedriza:
Facial Expressions as a Vulnerability in Face Recognition. - Fan Shi, Timon Homberger, Joonho Lee, Takahiro Miki, Moju Zhao, Farbod Farshidian, Kei Okada, Masayuki Inaba, Marco Hutter:
Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs. - Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung:
Answering Regular Path Queries Over SQ Ontologies. - Nikhil Churamani, Sinan Kalkan, Hatice Gunes:
Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks. - Ramana Kumar, Jonathan Uesato, Richard Ngo, Tom Everitt, Victoria Krakovna, Shane Legg:
REALab: An Embedded Perspective on Tampering. - Zachary Dulberg, Jonathan D. Cohen:
Learning Canonical Transformations. - Andreas Veit, Kimberly Wilber:
Improving Calibration in Deep Metric Learning With Cross-Example Softmax. - Udaranga Wickramasinghe, Graham Knott, Pascal Fua:
Deep Active Surface Models. - Jonathan Uesato, Ramana Kumar, Victoria Krakovna, Tom Everitt, Richard Ngo, Shane Legg:
Avoiding Tampering Incentives in Deep RL via Decoupled Approval. - Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou:
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. - Charles Colley, Huda Nassar, David F. Gleich:
Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure. - Jiaxuan You, Rex Ying, Jure Leskovec:
Design Space for Graph Neural Networks. - Md. Saiful Islam Bhuiyan, Abdur Razzak, Md. Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Mohammad Ashraful Hoque, Sasu Tarkoma:
BONIK: A Blockchain Empowered Chatbot for Financial Transactions. - Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. - Terry Cojean, Yu-Hsiang Mike Tsai, Hartwig Anzt:
Ginkgo - A Math Library designed for Platform Portability. - Andrei Diaconu:
Learning functional programs with function invention and reuse. - Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. - Varun Ranganathan, Alex Lewandowski:
ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks. - Anoop Krishnan, Ali Almadan, Ajita Rattani:
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset. - Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi:
Multimodal Prototypical Networks for Few-shot Learning. - Satoshi Tsutsui, Yanwei Fu, David J. Crandall:
Whose hand is this? Person Identification from Egocentric Hand Gestures. - Ryan Brate, Paul Groth, Marieke van Erp:
Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. - Kaihui Liang, Austin Chau, Yu Li, Xueyuan Lu, Dian Yu, Mingyang Zhou, Ishan Jain, Sam Davidson, Josh Arnold, Minh Nguyen, Zhou Yu:
Gunrock 2.0: A User Adaptive Social Conversational System. - Thai Le, Noseong Park, Dongwon Lee:
SIENA: Stochastic Multi-Expert Neural Patcher. - Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine:
C-Learning: Learning to Achieve Goals via Recursive Classification. - Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi:
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. - Agnieszka Niemczynowicz, Gabriela Bialoskórska, Joanna Niezurawska-Zajac, Radoslaw A. Kycia:
TreeGen - a Monte Carlo generator for data frames. - Arda Mavi:
A New Dataset and Proposed Convolutional Neural Network Architecture for Classification of American Sign Language Digits. - Jeongmin Chae, Song-Nam Hong:
Distributed Online Learning with Multiple Kernels. - Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating Compression Defects in Deep Learning. - Nima Shoghi Ghaleshahi, Ramyad Hadidi, Jaewon Lee, Jun Chen, Arthur Siqueira, Rahul Rajan, Shaan Dhawan, Pooya Shoghi Ghalehshahi, Hyesoon Kim:
Secure Location-Aware Authentication and Communication for Intelligent Transportation Systems. - Amanda E. Diegel, Natasha Sharma:
A C0 Interior Penalty Method for the Phase Field Crystal Equation. - Bin Li, Yin Li, Kevin W. Eliceiri:
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning. - Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin:
Near-Optimal Multi-Robot Motion Planning with Finite Sampling. - Arwen Teng, Ting-Wei Li, Yu-chi Liao, Hsi-Wen Chen, Yvonne-Anne Pignolet, De-Nian Yang, Lydia Y. Chen:
On Influencing the Influential: Disparity Seeding. - Andrew Runge, Eduard H. Hovy:
Exploring Neural Entity Representations for Semantic Information. - Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson:
Argumentative Topology: Finding Loop(holes) in Logic. - Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang:
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem. - Ruixiang Tang, Mengnan Du, Xia Hu:
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. - Wei Yang, Chris Paxton, Arsalan Mousavian, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Reactive Human-to-Robot Handovers of Arbitrary Objects. - Shoko Imaizumi, Hitoshi Kiya:
A Block-Permutation-Based Encryption Scheme with Independent Processing of RGB Components. - Qiwei Yuan, Weizhe Hua, Yi Zhou, Cunxi Yu:
Contrastive Weight Regularization for Large Minibatch SGD. - Shoko Imaizumi, Yusuke Izawa, Ryoichi Hirasawa, Hitoshi Kiya:
A Reversible Data Hiding Method in Compressible Encrypted Images. - Bhairav Mehta, Ankur Handa, Dieter Fox, Fabio Ramos:
A User's Guide to Calibrating Robotics Simulators. - Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts:
Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration. - Yanumula V. Karteek, Indrani Kar, Somanath Majhi:
Consensus of Multi-Agent Systems Using Back-Tracking and History Following Algorithms. - Jayant Gupta, Yiqun Xie, Shashi Shekhar:
Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results. - Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning. - Dusanka Boskovic, Nihad Borovina, Merima Zukic:
Stimulating Entrepreneurship in Teaching Human Computer Interaction. - Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed:
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data. - Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son:
On the Relationship Between KR Approaches for Explainable Planning. - Mort Naraghi-Pour, Mohammed Rashid, César Vargas Rosales:
Semi-blind Channel Estimation and Data Detection for Multi-cell Massive MIMO Systems on Time-Varying Channels. - Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. - Gongming Luo, Vishnu Reddy, Marcelo Almeida, Yingying Zhu, Ke Du, Cyrus Omar:
RustViz: Interactively Visualizing Ownership and Borrowing. - Sandipan Das, Prakash B. Gohain, Alireza M. Javid, Yonina C. Eldar, Saikat Chatterjee:
Statistical model-based evaluation of neural networks. - Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression. - Liang Yang, Fanxu Meng, Mazen O. Hasna, Ertugrul Basar:
A Novel RIS-Assisted Modulation Scheme. - Ziniu Wu, Rong Zhu, Andreas Pfadler, Yuxing Han, Jiangneng Li, Zhengping Qian, Kai Zeng, Jingren Zhou:
FSPN: A New Class of Probabilistic Graphical Model. - Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. - He Dai, Xuchong Zhang, Yongli Zhao, Hongbin Sun:
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching. - Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
Design and Stability Analysis of a Shared Mobility Market. - Tong Guo:
Predictions For Pre-training Language Models. - Akshay Sharma, Piyush Rajesh Medikeri, Yu Zhang:
Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning. - Seyedmohammad Salehi, Abdullah Alnajim, Xiaoqing Zhu, Malcolm Smith, Chien-Chung Shen, Leonard J. Cimini Jr.:
Traffic Characteristics of Virtual Reality over Edge-enabled Wi-Fi Networks. - Ankush Das, Di Wang, Jan Hoffmann:
Probabilistic Resource-Aware Session Types. - Demi Guo, Yoon Kim, Alexander M. Rush:
Sequence-Level Mixed Sample Data Augmentation. - Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo:
Your "Labrador" is My "Dog": Fine-Grained, or Not. - Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. - Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha:
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus. - Xiaotao Lu, Rodrigo C. de Lamare:
Study of Opportunistic Relaying and Jamming Based on Secrecy-Rate Maximization for Buffer-Aided Relay Systems. - Yao Zhang, Dengji Zhao:
Incentives to Form Larger Coalitions when Players Have the Power to Choose. - Liang Yang, Xiaoqin Yan, Sai Li, Daniel Benevides da Costa, Mohamed-Slim Alouini:
Performance Analysis of Dual-Hop Mixed PLC/RF Communication Systems. - Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Forecasting of Time Series with Image-to-Image Regression. - Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao:
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. - Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. - Sai Li, Liang Yang, Daniel Benevides da Costa, Marco Di Renzo, Mohamed-Slim Alouini:
On the Performance of RIS-Assisted Dual-Hop Mixed RF-UWOC Systems. - Sai Li, Liang Yang, Daniel Benevides da Costa:
Performance Analysis of UAV-based Mixed RF-UWOC Transmission Systems. - Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang:
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification. - M. Ali Vosoughi:
Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations. - Felix von Drigalski, Devwrat Joshi, Takayuki Murooka, Kazutoshi Tanaka, Masashi Hamaya, Yoshihisa Ijiri:
An analytical diabolo model for robotic learning and control. - Mousumi Karmakar, Sumit Kumar Banshal, Vivek Kumar Singh:
A large-scale comparison of social media coverage and mentions captured by the two altmetric aggregators- Altmetric.com and PlumX. - Masudul Hassan Quraishi, Erfan Bank Tavakoli, Fengbo Ren:
A Survey of System Architectures and Techniques for FPGA Virtualization. - Kang An, Xianbiao Hu, Xiaohong Chen:
Traffic Network Partitioning for Hierarchical Macroscopic Fundamental Diagram Applications Based on Fusion of GPS Probe and Loop Detector Data. - Nikhil Bansal, Christian Coester, Ravi Kumar, Manish Purohit, Erik Vee:
Scale-Free Allocation, Amortized Convexity, and Myopic Weighted Paging. - Yizhou Zhao, Liang Qiu, Wensi Ai, Feng Shi, Song-Chun Zhu:
Vertical-Horizontal Structured Attention for Generating Music with Chords. - Sumit Kumar Banshal, Aparna Basu, Vivek Kumar Singh, Solanki Gupta, Pranab K. Muhuri:
Do 'altmetric mentions' follow Power Laws? Evidence from social media mention data in Altmetric.com. - Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun:
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis. - Yuxiang Kong, Jian Wu, Quandong Wang, Peng Gao, Weiji Zhuang, Yujun Wang, Lei Xie:
Multi-Channel Automatic Speech Recognition Using Deep Complex Unet. - Yizhou Zhao, Song-Chun Zhu:
Weighted Entropy Modification for Soft Actor-Critic. - Tianxiang Ma, Bo Peng, Wei Wang, Jing Dong:
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation. - Sana Talmoudi, Tetsuya Kanada, Yasuhisa Hirata:
Tracking and Visualizing Signs of Degradation for an Early Failure Prediction of a Rolling Bearing. - Michael J. Lyons, Daniel Kluender:
Three Patterns to Support Empathy in Computer-Mediated Human Interaction. - Shinichi Tajima, Katsusuke Nabeshima:
An effective method for computing Grothendieck point residue mappings. - Kunal Mittal, Ran Raz:
Block Rigidity: Strong Multiplayer Parallel Repetition implies Super-Linear Lower Bounds for Turing Machines. - Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen:
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers. - Aihua Zheng, Xia Sun, Chenglong Li, Jin Tang:
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification. - Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza:
Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. - Alphonsus Adu-Bredu, Zhen Zeng, Neha Pusalkar, Odest Chadwicke Jenkins:
Robot Task Planning for Low Entropy Belief States. - Ali AlBeladi, Girish Krishnan, Mohamed-Ali Belabbas, Seth Hutchinson:
Vision-Based Shape Reconstruction of Soft Continuum Arms Using a Geometric Strain Parametrization. - Levente Csikor, Vipul Ujawane, Dinil Mon Divakaran:
On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch. - Austen Z. Fan, Jin-Yi Cai:
Dichotomy Result on 3-Regular Bipartite Non-negative Functions. - Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty:
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. - Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama:
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation. - Guoxiang Zhang, YangQuan Chen:
More Informed Random Sample Consensus. - Yu Zhang, Yangming Wu, Xigui Wang, Xiaocheng Zhou:
Barycode-based GJK Algorithm. - Mahdi H. Miraz, Maaruf Ali:
Integration of Blockchain and IoT: An Enhanced Security Perspective. - Riccardo Fazio:
A Non-Iterative Transformation Method for Boundary-Layer with Power-Law Viscosity for Newtonian Fluids. - Arezoo Rajabi, Rakesh B. Bobba:
Adversarial Profiles: Detecting Out-Distribution & Adversarial Samples in Pre-trained CNNs. - Alberto Aleta, Marta Tuninetti, Daniela Paolotti, Yamir Moreno, Michele Starnini:
Link prediction in multiplex networks via triadic closure. - Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Zengqi Xun, Chengyue Sun, Yiyun Fei, Yu Zheng, Ying Li, Yi Liu, Peng Liu, Lin Ma, Le Weng, Xiaohang Hu, Xin Ma, Qian Qian, Rongfei Jia, Binqiang Zhao, Hao Zhang:
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. - Moshe Eliasof, Jonathan Ephrath, Lars Ruthotto, Eran Treister:
Multigrid-in-Channels Neural Network Architectures. - Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy:
Visual Drift Detection for Event Sequence Data of Business Processes. - Marije Siemann, Matthias Walter:
A Polyhedral Study for the Cubic Formulation of the Unconstrained Traveling Tournament Problem. - Kirill V. Golubnichiy, Tianyang Wang, Andrey V. Nikitin:
An Evaluation of novel method of Ill-Posed Problem for the Black-Scholes Equation solution. - Markus Friedrich, Stefan Langer, Fabian Frey:
Combining Gesture and Voice Control for Mid-Air Manipulation of CAD Models in VR Environments. - Shogo Fujita, Tomohide Shibata, Manabu Okumura:
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs. - Christoph B. Rist, David Emmerichs, Markus Enzweiler, Dariu M. Gavrila:
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data. - Quinn Jarvis-Holland, Crystal Cortez, Nathan Gamill, Francisco Botello:
Expanding Access to Music Technology - Rapid Prototyping Accessible Instrument Solutions For Musicians With Intellectual Disabilities. - Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems. - Rana Tallal Javed, Mirza Elaaf Shuja, Muhammad Usama, Junaid Qadir, Waleed Iqbal, Gareth Tyson, Ignacio Castro, Kiran Garimella:
A First Look at COVID-19 Messages on WhatsApp in Pakistan. - Mehran Maghoumi, Eugene M. Taranta II, Joseph J. LaViola Jr.:
DeepNAG: Deep Non-Adversarial Gesture Generation. - Yang Fang, Geun-Sik Jo, Chang-Hee Lee:
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking. - Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li:
Dense Contrastive Learning for Self-Supervised Visual Pre-Training. - Peisen Zhao, Jiajie Wang, Lingxi Xie, Ya Zhang, Yanfeng Wang, Qi Tian:
Privileged Knowledge Distillation for Online Action Detection. - Mayank Kejriwal, Ke Shen:
Do Fine-tuned Commonsense Language Models Really Generalize? - Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto:
Positive-Congruent Training: Towards Regression-Free Model Updates. - Elisabetta Corti, Joaquin Antonio Cornejo Jimenez, Kham M. Niang, John Robertson, Kirsten E. Moselund, Bernd Gotsmann, Adrian M. Ionescu, Siegfried F. Karg:
Coupled VO2 oscillators circuit as analog first layer filter in convolutional neural networks. - Roland Maier, Barbara Verfürth:
Multiscale Scattering in Nonlinear Kerr-Type Media. - Yanwei Pang, Jiale Cao, Yazhao Li, Jin Xie, Hanqing Sun, Jinfeng Gong:
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection. - Ziliang Lyu, Xiangru Xu, Yiguang Hong:
Small-Gain Theorem for Safety Verification of Interconnected Systems. - Carsten Lutz, Johannes Marti, Leif Sabellek:
Query Expressibility and Verification in Ontology-Based Data Access. - Greta Adamo, Chiara Ghidini, Chiara Di Francescomarino:
What is a Process Model Composed of? A Systematic Literature Review of Meta-Models in BPM. - Felix Kyburg, Sergio Rojas, Victor M. Calo:
Incompressible flow modeling using an adaptive stabilized finite element method based on residual minimization. - Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis:
Game Plan: What AI can do for Football, and What Football can do for AI. - Lucian Busoniu, Vineeth S. Varma, Jérôme Lohéac, Alexandru Codrean, Octavian Stefan, Irinel-Constantin Morarescu, Samson Lasaulce:
Learning control for transmission and navigation with a mobile robot under unknown communication rates. - Martin Pichlmair, Mads Johansen:
Designing Game Feel. A Survey. - Daniel Bonilla Licea, Moisés E. Bonilla, Mounir Ghogho, Samson Lasaulce, Vineeth S. Varma:
Communication-Aware Energy Efficient Trajectory Planning with Limited Channel Knowledge. - Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin:
Whale: A Unified Distributed Training Framework. - Chenyang Lyu, Jennifer Foster, Yvette Graham:
Improving Document-Level Sentiment Analysis with User and Product Context. - Manon Macary, Marie Tahon, Yannick Estève, Anthony Rousseau:
On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition. - Yanwu Ge, Mingliang Song:
Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting. - Nishant Bhattacharya, Suresh Sundaram:
CGAP2: Context and gap aware predictive pose framework for early detection of gestures. - Stefano Bennati, Aleksandra Kovacevic:
Privacy metrics for trajectory data based on k-anonymity, l-diversity and t-closeness. - Hakan Gencturk, Elcin Erdogan, Mustafa Karaca, Ugur Yayan:
Prognostic and Health Management (PHM) tool for Robot Operating System (ROS). - Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang:
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. - Uzi Pereg, Christian Deppe, Holger Boche:
Quantum Broadcast Channels with Cooperating Decoders: An Information-Theoretic Perspective on Quantum Repeaters. - Preeti Jagdish Sajjan, Frank G. Glavin:
A Multi-class Approach - Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning. - Christian Janiesch, Marcus Fischer, Axel Winkelmann, Valentin Nentwich:
Specifying Autonomy in the Internet of Things: The Autonomy Model and Notation. - Enrico Sutera, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge:
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband. - Leo Dostal, Alexej Bespalko, Daniel-André Duecker:
Experimental Study on Reinforcement Learning-based Control of an Acrobot. - François Hernandez, Vincent Nguyen:
The Ubiqus English-Inuktitut System for WMT20. - Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa, Sergio Uribe:
Inspecting state of the art performance and NLP metrics in image-based medical report generation. - Charalampos S. Stamatellis, Pavlos Papadopoulos, Nikolaos Pitropakis, Sokratis K. Katsikas, William J. Buchanan:
A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric. - Hui Chen, Peng Chen, Jun Zhou, Luan H. K. Duong, Weichen Liu:
ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission. - Lew Gordeev, Edward Hermann Haeusler:
Proof Compression and NP Versus PSPACE II: Addendum. - Luis Haug, Ivan Ovinnikov, Eugene Bykovets:
Inverse Reinforcement Learning via Matching of Optimality Profiles. - Alexey V. Vishnyakov, Andrey Fedotov, Daniil O. Kuts, Alexander A. Novikov, Darya Parygina, Eli Kobrin, Vlada Logunova, Pavel Belecky, Shamil F. Kurmangaleev:
Sydr: Cutting Edge Dynamic Symbolic Execution. - Mireia Farrús, Joan Codina-Filbà:
Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease. - Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich:
Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks. - Maryam Faraji-Biregani, Reza Fotohi:
Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles. - Alptekin Orbay:
Master Thesis: Neural Sign Language Translation by Learning Tokenization. - Haiqin Weng, Juntao Zhang, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong:
Privacy Leakage of Real-World Vertical Federated Learning. - Tom Ward, Andrew Bolt, Nik Hemmings, Simon Carter, Manuel Sanchez, Ricardo Barreira, Seb Noury, Keith Anderson, Jay Lemmon, Jonathan Coe, Piotr Trochim, Tom Handley, Adrian Bolton:
Using Unity to Help Solve Intelligence. - Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Björn W. Schuller:
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification. - Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang:
Explicitly Learning Topology for Differentiable Neural Architecture Search. - Kun Wei, Pengcheng Guo, Hang Lv, Zhen Tu, Lei Xie:
Context-aware RNNLM Rescoring for Conversational Speech Recognition. - Andrea Barth, Robin Merkle:
Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations. - Pablo Barceló, Gerald Berger, Carsten Lutz, Andreas Pieris:
First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries. - Minghang Zheng, Peng Gao, Xiaogang Wang, Hongsheng Li, Hao Dong:
End-to-End Object Detection with Adaptive Clustering Transformer. - Jiajing Wu, Jieli Liu, Yijing Zhao, Zibin Zheng:
Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview. - Ngo Bao Chau, Quan-Hoang Vuong, Viet-Phuong La, Lê Tuân Hoa, Le Minh Ha, Trinh Thi Thuy Giang, Hiep-Hung Pham, Nguyen Thanh Thanh Huyen, Nguyen Thanh Dung, Nguyen Thi Linh, Tran Trung, Nguyen Minh Hoang, Manh-Toan Ho:
The 80-year development of Vietnam mathematical research: Preliminary insights from the SciMath database on mathematicians, their works and their networks. - Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim:
Online Exemplar Fine-Tuning for Image-to-Image Translation. - Franco Dassi, Alessio Fumagalli, Davide Losapio, Stefano Scialò, Anna Scotti, Giuseppe Vacca:
The mixed virtual element method for grids with curved interfaces. - Sim Kuan Goh, Narendra Pratap Singh, Zhi Jun Lim, Sameer Alam:
Learning Interpretable Flight's 4D Landing Parameters Using Tunnel Gaussian Process. - Robert Altmann, Roland Herzog:
Continuous Galerkin Schemes for Semi-Explicit Differential-Algebraic Equations. - Alireza Mohammadidoost, Matin Hashemi:
High-Throughput and Memory-Efficient Parallel Viterbi Decoder for Convolutional Codes on GPU. - Nick Angelou, Ayoub Benaissa, Bogdan Cebere, William Clark, Adam James Hall, Michael A. Hoeh, Daniel Liu, Pavlos Papadopoulos, Robin Roehm, Robert Sandmann, Phillipp Schoppmann, Tom Titcombe:
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning. - Chaofan Tu, Ruibin Bai, Zheng Lu, Uwe Aickelin, Peiming Ge, Jianshuang Zhao:
Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models. - Bernd Krieg-Brückner, Till Mossakowski, Mihai Codescu:
Generic Ontology Design Patterns: Roles and Change over Time. - Nicolas Kourtellis, Kleomenis Katevas, Diego Perino:
FLaaS: Federated Learning as a Service. - Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson:
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. - Owais Sarwar, Benjamin Sauk, Nikolaos V. Sahinidis:
A Discussion on Practical Considerations with Sparse Regression Methodologies. - Hossein Aboutalebi, Mohammad Javad Shafiee, Alexander Wong:
Self-Gradient Networks. - Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet:
Learning in repeated auctions. - Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang:
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes. - Markus Anders, Pascal Schweitzer:
Engineering a Fast Probabilistic Isomorphism Test. - Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Marco Moresi, Carel van Niekerk, Milica Gasic:
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization. - Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic:
Out-of-Task Training for Dialog State Tracking Models. - Alireza Nadafian, Mohammad Ganjtabesh:
Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks. - Philippe Destuynder, Erwan Liberge:
About penalty-duality methods in fluid-structure interactions. - Dan Feldman:
Introduction to Core-sets: an Updated Survey. - Brad Saund, Dmitry Berenson:
Diverse Plausible Shape Completions from Ambiguous Depth Images. - Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets:
Adversarial Turing Patterns from Cellular Automata. - Tom Bannink, Arash Bakhtiari, Adam Hillier, Lukas Geiger, Tim de Bruin, Leon Overweel, Jelmer Neeven, Koen Helwegen:
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks. - Shuchi Chawla, Kira Goldner, Anna R. Karlin, J. Benjamin Miller:
Non-Adaptive Matroid Prophet Inequalities. - Devleena Das, Siddhartha Banerjee, Sonia Chernova:
Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery. - Dhara Shah, Yubao Wu, Sushil K. Prasad, Danial Aghajarian:
Connected-Dense-Connected Subgraphs in Triple Networks. - Deokgun Park:
Language Acquisition Environment for Human-Level Artificial Intelligence. - Alexander Jakubowski, Milica Gasic, Marcus Zibrowius:
Topology of Word Embeddings: Singularities Reflect Polysemy. - Bohdan Kivva, Aaron Potechin:
Exact nuclear norm, completion and decomposition for random overcomplete tensors via degree-4 SOS. - Yasiru Ranasinghe, Sanjaya Herath, Kavinga Weerasooriya, Mevan Ekanayake, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha R. Herath:
Convolutional Autoencoder for Blind Hyperspectral Image Unmixing. - Javier Fernández, Luke Bornn, Daniel Cervone:
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions. - Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler, Daniel D. Lee:
Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors. - Albert Benveniste, Kim G. Larsen, Jean-Baptiste Raclet:
Mixed Nondeterministic-Probabilistic Interfaces. - Gurcan Comert, Mashrur Chowdhury, David M. Nicol:
Assessment of System-Level Cyber Attack Vulnerability for Connected and Autonomous Vehicles Using Bayesian Networks. - Venkatraman Narayanan, Bala Murali Manoghar, Rama Prashanth RV, Aniket Bera:
EWareNet: Emotion Aware Human Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation. - Yuval Emek, Shay Kutten, Yangguang Shi:
Online Paging with a Vanishing Regret. - Hadley Black, Iden Kalemaj, Sofya Raskhodnikova:
Isoperimetric Inequalities for Real-Valued Functions with Applications to Monotonicity Testing. - Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske:
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. - Daniel Palomino, José Ochoa Luna:
Palomino-Ochoa at SemEval-2020 Task 9: Robust System based on Transformer for Code-Mixed Sentiment Classification. - Shahriar Sharifi Borojerdi, Mehdi Karimi, Ehsan Amiri:
Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms. - Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. - Thomas Mesnard, Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Arthur Guez, Marcus Hutter, Lars Buesing, Rémi Munos:
Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron C. Courville, Doina Precup, Guillaume Lajoie:
Gradient Starvation: A Learning Proclivity in Neural Networks. - (Withdrawn) FROST: Faster and more Robust One-shot Semi-supervised Training.
- Brian Dolhansky, Cristian Canton-Ferrer:
Adversarial collision attacks on image hashing functions. - Alexander K. Taylor, Ross Kleiman, Scott J. Hebbring, Peggy L. Peissig, David Page:
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. - Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang:
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection. - Amariah Becker, Justin Solomon:
Redistricting Algorithms. - Petar Vukmirovic, Alexander Bentkamp, Visa Nummelin:
Efficient Full Higher-Order Unification. - A. J. Rodríguez-Hernández, Carlos Sevcik:
Hidden chaos factors inducing random walks which reduce hospital operative efficiency. - Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko:
Extracting and Learning Fine-Grained Labels from Chest Radiographs. - M. A. Awal, Iqbal Husain:
Transient Stability Assessment for Current Constrained and Unconstrained Fault Ride-Through in Virtual Oscillator Controlled Converters. - Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun:
TRAT: Tracking by Attention Using Spatio-Temporal Features. - Aiswarya Akumalla, Seth Haney, Maksim Bazhenov:
Contextual Fusion For Adversarial Robustness. - Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta:
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. - Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang:
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. - Christian Schröder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson:
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? - Nicolas P. Rougier, Georgios Detorakis:
Randomized Self Organizing Map. - Asadullah Hill Galib, Nadia Nahar, B. M. Mainul Hossain:
The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques. - Tomás Mussi Reyero, Mariano G. Beiró, J. Ignacio Alvarez-Hamelin, Laura Hernández, Dimitris Kotzinos:
Evolution of the political opinion landscape during electoral periods. - Satish Kumar, A. S. M. Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B. S. Manjunath:
StressNet: Detecting Stress in Thermal Videos. - Alexander H. Foss, Richard B. Lehoucq, W. Zachary Stuart, J. Derek Tucker, Jonathan W. Berry:
A Deterministic Hitting-Time Moment Approach to Seed-set Expansion over a Graph. - Bo Xiong, Yimin Huang, Steffen Staab, Zhenguo Li:
MOFA: Modular Factorial Design for Hyperparameter Optimization. - Mark Alan Matties:
Vector Embeddings with Subvector Permutation Invariance using a Triplet Enhanced Autoencoder. - Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari, Yogesh A. Girdhar, David Meger, Gregory Dudek:
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor. - Yue Feng, Yang Wang, Hang Li:
A Sequence-to-Sequence Approach to Dialogue State Tracking. - Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Domenico Marino, Francesco Orciuoli:
A Cognitive Approach based on the Actionable Knowledge Graph for supporting Maintenance Operations. - Victor Paduani, Lidong Song, Bei Xu, Ning Lu:
Maximum Power Reference Tracking Algorithm for Power Curtailment of Photovoltaic Systems. - Jungseok Hong, Sadman Sakib Enan, Christopher Morse, Junaed Sattar:
Visual Diver Face Recognition for Underwater Human-Robot Interaction. - Jiajin Zhang, Hanqing Chao, Pingkun Yan:
Robustified Domain Adaptation. - Zhen Dai, Joseph Euzebe Tate:
Line Outage Identification Based on AC Power Flow and Synchronized Measurements. - Javier de la Rosa, Salvador Ros, Elena González-Blanco:
Predicting metrical patterns in Spanish poetry with language models. - Joshua Hanson, Maxim Raginsky, Eduardo D. Sontag:
Learning Recurrent Neural Net Models of Nonlinear Systems. - Sadra Naddaf-Sh, Mohammad Mahdi Naddaf Shargh, Amir R. Kashani, Hassan Zargarzadeh:
An Efficient and Scalable Deep Learning Approach for Road Damage Detection. - Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero:
Non-Linear Multiple Field Interactions Neural Document Ranking. - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Patient-independent Epileptic Seizure Prediction using Deep Learning Models. - Clemens Eppner, Arsalan Mousavian, Dieter Fox:
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation. - Norman Di Palo, Edward Johns:
SAFARI: Safe and Active Robot Imitation Learning with Imagination. - Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider:
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification. - Kei Sakaguchi, Ryuichi Fukatsu, Tao Yu, Eisuke Fukuda, Kim Mahler, Robert W. Heath Jr., Takeo Fujii, Kazuaki Takahashi, Alexey Khoryaev, Satoshi Nagata, Takayuki Shimizu:
Towards mmWave V2X in 5G and Beyond to Support Automated Driving. - Haitao Wang, Yiming Zhao:
Algorithms for Diameters of Unicycle Graphs and Diameter-Optimally Augmenting Trees. - Tong Ke, Tien Do, Khiem Vuong, Kourosh Sartipi, Stergios I. Roumeliotis:
Deep Multi-view Depth Estimation with Predicted Uncertainty. - Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes:
Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks. - Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park:
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. - Emily Marx, Francis Y. Yan, Keith Winstein:
Implementing BOLA-BASIC on Puffer: Lessons for the use of SSIM in ABR logic. - Qiang Ge, Shengbo Eben Li, Qi Sun, Sifa Zheng:
Numerically Stable Dynamic Bicycle Model for Discrete-time Control. - Ali Atghaei, Soroush Ziaeinejad, Mohammad Rahmati:
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning. - Shammya Shananda Saha, Daniel Arnold, Anna Scaglione, Eran Schweitzer, Ciaran M. Roberts, Sean Peisert, Nathan G. Johnson:
Lyapunov Stability of Smart Inverters Using Linearized DistFlow Approximation. - Pierre Boisrond:
To Terminate or Not to Terminate Secure Sockets Layer (SSL) Traffic at the Load Balancer. - John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz:
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. - Qiyue Li, Tengfei Cao, Wei Sun, Weitao Li:
Throughput Optimal Uplink Scheduling in Heterogeneous PLC and LTE Communication for Delay Aware Smart Grid Applications. - Yujie Zhong, Linhai Xie, Sen Wang, Lucia Specia, Yishu Miao:
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision. - José Verschae, Matías Villagra, Léonard von Niederhäusern:
On the geometry of symmetry breaking inequalities. - Sankha Baran Dutta, Hoda Naghibijouybari, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker:
Leaky Buddies: Cross-Component Covert Channels on Integrated CPU-GPU Systems. - Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. - Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. - Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha:
Finding the Homology of Decision Boundaries with Active Learning. - Silun Zhang, Thomas Ohlson Timoudas, Munther A. Dahleh:
Consensus with Preserved Privacy against Neighbor Collusion. - Ibrahim Al-Nahhal, Octavia A. Dobre, Ertugrul Basar:
Reconfigurable Intelligent Surface-Assisted Uplink Sparse Code Multiple Access. - Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. - Di Chai, Leye Wang, Kai Chen, Qiang Yang:
FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning. - Yusuke Niiro, Marcelo Kallmann:
Assembling a Pipeline for 3D Face Interpolation. - Xiaoyu Chen, Rohan Badlani:
Relation Extraction with Contextualized Relation Embedding (CRE). - Riccardo Fazio:
An Iterative Transformation Method for a Similarity Boundary Layer Model. - Riccardo Fazio:
A Non-Iterative Transformation Method Applied to Boundary-Layer Flows of Non-Newtonian Fluids Past a Flat Plate. - Ziad Al-Halah, Kristen Grauman:
Modeling Fashion Influence from Photos. - Thanh Long Vu, Sayak Mukherjee, Tim Yin, Renke Huang, Jie Tan, Qiuhua Huang:
Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. - Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan:
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. - Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia:
Multi-Modal Subjective Context Modelling and Recognition. - Johann Baumeister, Barbara Kaltenbacher, Antonio Leitão:
On Levenberg-Marquardt-Kaczmarz iterative methods for solving systems of nonlinear ill-posed equations. - Pierre-Étienne Meunier, Damien Regnault:
On the directed tile assembly systems at temperature 1. - Benjamin Berg, Rein Vesilo, Mor Harchol-Balter:
heSRPT: Parallel Scheduling to Minimize Mean Slowdown. - Ming Qian, Min Xia, Chunyi Sun, Zhiwei Wang, Liguo Weng:
Defocus Blur Detection via Salient Region Detection Prior. - Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer:
Scalable Graph Neural Networks for Heterogeneous Graphs. - Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker:
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews. - S. Matthew Weinberg, Zixin Zhou:
Optimal Multi-Dimensional Mechanisms are not Local. - Rui Zhang, Kai Yin, Li Li:
Towards Emotion-Aware User Simulator for Task-Oriented Dialogue. - Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim:
Learning Deep Video Stabilization without Optical Flow. - Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan:
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators? - Zongyu Guo, Zhizheng Zhang, Runsen Feng, Simeng Sun, Zhibo Chen:
Latent-Separated Global Prediction for Learned Image Compression. - Rebecca Eifler, Jörg Hoffmann:
Iterative Planning with Plan-Space Explanations: A Tool and User Study. - Yufan Zhao, Wei Wu, Can Xu:
Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues? - Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III:
Approximate Weighted CR Coded Matrix Multiplication. - Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes:
Wasserstein Learning of Determinantal Point Processes. - Ian K. Duncan, Shi Tingsheng, Simon T. Perrault, Michael T. Gastner:
Task-Based Effectiveness of Interactive Contiguous Area Cartograms. - Pieter Kleer, Guido Schäfer:
Topological Price of Anarchy Bounds for Clustering Games on Networks. - Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner:
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. - Felipe Vaz, Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira:
Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations. - Li You, Jiayuan Xiong, Derrick Wing Kwan Ng, Chau Yuen, Wenjin Wang, Xiqi Gao:
Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission. - Virginie Ehrlacher, Maria Fuente Ruiz, Damiano Lombardi:
CP-TT: using TT-SVD to greedily construct a Canonical Polyadic tensor approximation. - Taekyoo Kim, Hyungbo Shim:
Distributed Controller for Linear Multi-Channel Systems and its Distirbuted Implementation. - Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li:
Face Forgery Detection by 3D Decomposition. - Ruifeng Yuan, Zili Wang, Wenjie Li:
Fact-level Extractive Summarization with Hierarchical Graph Mask on BERT. - Rodrigo de Medrano, Víctor de Buen Remiro, José Luis Aznarte:
SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid. - Matteo Lionello, Hendrik Purwins:
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing - A Preliminary Study. - Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva:
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. - Farah Karim, Maria-Esther Vidal, Sören Auer:
Compact Representations for Efficient Storage of Semantic Sensor Data. - Cristina Gena, Fabiana Vernero, Claudio Mattutino, Giorgia Persichella, Lomanto Luca:
Experimenting Touchless Gestural Interaction for a University Public Web-based Display. - Jonathan N. Lee, Aldo Pacchiano, Vidya Muthukumar, Weihao Kong, Emma Brunskill:
Online Model Selection for Reinforcement Learning with Function Approximation. - Athanasios Lagopoulos, Grigorios Tsoumakas:
From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews. - Rachid Zennou, Ranadeep Biswas, Ahmed Bouajjani, Constantin Enea, Mohammed Erradi:
Checking Causal Consistency of Distributed Databases. - Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly:
An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation. - Corrado Pezzato, Carlos Hernández Corbato, Martijn Wisse:
Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics. - Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen:
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. - Pawel Gawrychowski, Wojciech Janczewski:
Fully Dynamic Approximation of LIS in Polylogarithmic Time. - Tim Prangemeier, Christoph Reich, Heinz Koeppl:
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. - Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma:
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery. - Sattaya Singkul, Thakorn Chatchaisathaporn, Boontawee Suntisrivaraporn, Kuntpong Woraratpanya:
Deep Residual Local Feature Learning for Speech Emotion Recognition. - Xuewei Bian, Chaoqun Wang, Weize Quan, Juntao Ye, Xiaopeng Zhang, Dong-Ming Yan:
Scene text removal via cascaded text stroke detection and erasing. - Daeun Song, Pierre Fernbach, Thomas Flayols, Andrea Del Prete, Nicolas Mansard, Steve Tonneau, Young J. Kim:
Solving Footstep Planning as a Feasibility Problem using L1-norm Minimization. - Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu:
A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries. - Yang Liu, Anthony C. Constantinou, Zhigao Guo:
Improving Bayesian Network Structure Learning in the Presence of Measurement Error. - Yuanqiang Cai, Chang Liu, Weiqiang Wang, Qixiang Ye:
Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering. - Søren Rasmussen, Karsten Østergaard Noe, Oliver Gyldenberg Hjermitslev, Henrik Pedersen:
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings. - Robert White, Jens Krinke:
ReAssert: Deep Learning for Assert Generation. - Shangxi Wu, Jitao Sang, Xian Zhao, Lizhang Chen:
An Experimental Study of Semantic Continuity for Deep Learning Models. - Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz:
The Robot Household Marathon Experiment. - Hao Chen, Chunhua Shen, Zhi Tian:
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions. - Ran Tamir, Neri Merhav:
Error Exponents in the Bee Identification Problem. - Linxi Huan, Xianwei Zheng, Nan Xue, Wei He, Jianya Gong, Gui-Song Xia:
Unmixing Convolutional Features for Crisp Edge Detection. - Rebecca Ward, Ruchi Choudhary, Alastair Gregory, Mark Girolami:
Continuous calibration of a digital twin: comparison of particle filter and Bayesian calibration approaches. - Bing Liu, Chuhe Mei:
Lifelong Knowledge Learning in Rule-based Dialogue Systems. - Elena Bruches, Alexey Pauls, Tatiana Batura, Vladimir Isachenko:
Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian. - Amir Mozammel:
Hardware Implementation of Fano Decoder for PAC Codes. - Zhixiong Yue, Baijiong Lin, Xiaonan Huang, Yu Zhang:
Effective, Efficient and Robust Neural Architecture Search. - Jerry Swan, Steven Adriænsen, Alexander E. I. Brownlee, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, Juan Julián Merelo Guervós, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David Robert White:
Towards Metaheuristics "In the Large". - Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang:
Multi-Task Adversarial Attack. - Petr Lorenc, Petr Marek, Jan Pichl, Jakub Konrád, Jan Sedivý:
Do We Need Online NLU Tools? - Javier Fumanal-Idocin, Zdenko Takác, Javier Fernández, José Antonio Sanz, Harkaitz Goyena, Chin-Teng Lin, Yu-Kai Wang, Humberto Bustince:
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface. - Jian Shi, Edgar Riba, Dmytro Mishkin, Francesc Moreno, Anguelos Nicolaou:
Differentiable Data Augmentation with Kornia. - Erich Grädel, Richard Wilke:
Logics with Multiteam Semantics. - Meghyn Bienvenu, Peter Hansen, Carsten Lutz, Frank Wolter:
First Order-Rewritability and Containment of Conjunctive Queries in Horn Description Logics. - Matthew Norris:
Using Ordinal Data to Assess Distance Learning. - Rishabh Verma, R. Rajesh, M. S. Easwaran:
Modular Multi Target Tracking Using LSTM Networks. - Sachithra Lokuge, Maduka Subasinghage:
Knowledge Management Competence and ISD Vendor Innovativeness in Turbulent Markets. - Chen Lu, Subhabrata Sen:
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity. - S. Sairam, Seshadhri Srinivasan, Giancarlo Marafioti, B. Subathra, Geir Mathisen, Korkut Bekiroglu:
Explainable Incipient Fault Detection Systems for Photovoltaic Panels. - Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng:
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks. - Ben Saunders, Necati Cihan Camgöz, Richard Bowden:
Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video. - Matthijs Ebbens, Hugo Parlier, Gert Vegter:
Minimal Delaunay triangulations of hyperbolic surfaces. - Pablo Moreno-Muñoz, Lorena Romero-Medrano, Ángela Moreno, Jesús Herrera-López, Enrique Baca-García, Antonio Artés-Rodríguez:
Passive detection of behavioral shifts for suicide attempt prevention. - Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani:
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning. - Manuel Blum, Lenore Blum:
A Theoretical Computer Science Perspective on Consciousness. - Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski:
A framework for digital trace data collection through data donation. - Yusuke Sekikawa, Teppei Suzuki:
Irregularly Tabulated MLP for Fast Point Feature Embedding. - Hamed Majidifard, Behnam Jahangiri, Punyaslok Rath, Amir Hossein Alavi, William G. Buttlar:
A Deep Learning Approach to Predict Hamburg Rutting Curve. - Sirui Xie, Feng Gao, Song-Chun Zhu:
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation. - Muhammed Maruf Öztürk:
On tuning deep learning models: a data mining perspective. - Jean Christoph Jung, Carsten Lutz, Mauricio Martel, Thomas Schneider:
Conservative Extensions in Horn Description Logics with Inverse Roles. - Victor Kolev, Bogdan Georgiev, Svetlin Penkov:
Neural Abstract Reasoner. - Stefano Balietti:
The human quest for discovering mathematical beauty in the arts. - Ramon Vilarino, Renato Vicente:
An Experiment on Leveraging SHAP Values to Investigate Racial Bias. - Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Learning Languages with Decidable Hypotheses. - Hanshuang Tong, Yun Zhou, Zhen Wang:
Exercise Hierarchical Feature Enhanced Knowledge Tracing. - Aldo Figallo Orellano, Juan Sebastian Slagter:
An algebraic study of the first order version of some implicational fragments of the three-valued Lukasiewicz logic. - Tom Gilat, Ben Gilat:
Fast Dirichlet Optimal Parameterization of Disks and Sphere Sectors. - Xing Shen, Jirui Yang, Chunbo Wei, Bing Deng, Jianqiang Huang, Xiansheng Hua, Xiaoliang Cheng, Kewei Liang:
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation. - Zhuoran Liu, Niels Samwel, Leo Weissbart, Zhengyu Zhao, Dirk Lauret, Lejla Batina, Martha A. Larson:
Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel. - Jinyin Chen, Yunyi Xie, Jian Zhang, Xincheng Shu, Qi Xuan:
Time-Series Snapshot Network as A New Model for Role Recommendation in OSS. - Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment. - Utkarsh Nath, Shikha Asrani, Rahul Katarya:
Similarity-based Distance for Categorical Clustering using Space Structure. - Xiaoping Jiang, Ruibin Bai, Dario Landa-Silva, Uwe Aickelin:
Fuzzy C-means-based scenario bundling for stochastic service network design. - Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li:
Using simulation to incorporate dynamic criteria into multiple criteria decision-making. - Shideh Shams Amiri, Rosina O. Weber, Prateek Goel, Owen Brooks, Archer Gandley, Brian Kitchell, Aaron Zehm:
Data Representing Ground-Truth Explanations to Evaluate XAI Methods. - Markus Haltmeier, A. Leitao, Otmar Scherzer:
Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis. - Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch:
TBSSvis: Visual Analytics for Temporal Blind Source Separation. - Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu:
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. - Tao Huang, Yihan Zhang, Jiajing Wu, Junyuan Fang, Zibin Zheng:
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks. - Yunlong Lu, Xiaohong Huang, Ke Zhang, Sabita Maharjan, Yan Zhang:
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks. - Brian Liu, Madeleine Udell:
Impact of Accuracy on Model Interpretations. - Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto:
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. - Kevin Haninger, Raul Vicente-Garcia, Jörg Krüger:
Towards Learning Controllable Representations of Physical Systems. - Asan Agibetov:
Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives? - Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Gholamreza Haffari, Behrooz Hassani-Mahmooei:
Multi-objective semi-supervised clustering to identify health service patterns for injured patients. - Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Imputation techniques on missing values in breast cancer treatment and fertility data. - Markus Haltmeier, Richard Kowar, A. Leitao, Otmar Scherzer:
Regularization of systems of nonlinear ill-posed equations: II. Applications. - Sanjana Agrawal, R. Inkulu:
Visibility Polygons and Visibility Graphs among Dynamic Polygonal Obstacles in the Plane. - Andrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence:
Challenges in Deploying Machine Learning: a Survey of Case Studies. - Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text to Teach Image Retrieval. - Dario Guidotti, Luca Pulina, Armando Tacchella:
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks. - Xinyue Huo, Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Hao Li, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian:
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations. - Congjie Wei, Jiaxin Zhang, Kenneth M. Liechti, Chenglin Wu:
Data Driven Modeling of Interfacial Traction Separation Relations using Thermodynamic Consistent Neural Network (TCNN). - Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Dimitrios Selimis, Fotis I. Lazarakis, Angeliki Alexiou, Symeon Chatzinotas:
Reconfigurable Intelligent Surface Optimal Placement in Millimeter-Wave Networks. - Le Anh Dao, Luca Ferrarini, D. La Carrubba:
Improving Solar and PV Power Prediction with Ensemble Methods. - Jie Chen:
A Bounded Multi-Vacation Queue Model for Multi-stage Sleep Control 5G Base station. - Juan Carlos Martínez Mori, Samitha Samaranayake:
On the Request-Trip-Vehicle Assignment Problem. - Hui Chen, Deepanway Ghosal, Navonil Majumder, Amir Hussain, Soujanya Poria:
Persuasive Dialogue Understanding: the Baselines and Negative Results. - Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer:
Adversarial Threats to DeepFake Detection: A Practical Perspective. - Elham Gholami, Seyed Reza Kamel Tabbakh, Maryam Kheirabadi:
Proposing method to Increase the detection accuracy of stomach cancer based on colour and lint features of tongue using CNN and SVM. - Yukun Yang:
Temporal Surrogate Back-propagation for Spiking Neural Networks. - Wanshi Hong, Cong Zhang, Cy P. Chan, Bin Wang:
Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework. - Huihui Wang, Ruyang Mo:
Neural network algorithm and its application in reactive distillation. - Yali Guo, Han Zhang, Liang Wang, Huawei Fan, Xingang Wang:
Transfer learning of chaotic systems. - Steffen Kaup, André Ludwig, Bogdan Franczyk:
Design and Evaluation of Routing Artifacts as a Part of the Physical Internet Framework. - Ilias Diakonikolas, Daniel M. Kane, Daniel Kongsgaard, Jerry Li, Kevin Tian:
List-Decodable Mean Estimation in Nearly-PCA Time. - Jihao Andreas Lin, Jakob Brünker, Daniel Fährmann:
Learning to Predict the 3D Layout of a Scene. - Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Geography-Aware Self-Supervised Learning. - Juan Ospina, Xiaorui Liu, Charalambos Konstantinou, Yury Dvorkin:
On the Feasibility of Load-Changing Attacks in Power Systems during the COVID-19 Pandemic. - Raj Kumar Maity, Cameron Musco:
Estimation of Shortest Path Covariance Matrices. - Adam Coscia, Duen Horng Chau, Alex Endert:
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics. - Reza Namazi, Arsham Zolanvari, Mahdi Sani, Seyed Amir Ali Ghafourian Ghahramani:
GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers. - José M. Moreu, Anuradha M. Annaswamy:
A Stable High-order Tuner for General Convex Functions. - Jiaqi Yang:
Fully Gap-Dependent Bounds for Multinomial Logit Bandit. - Usman Anwar, Shehryar Malik, Alireza Aghasi, Ali Ahmed:
Inverse Constrained Reinforcement Learning. - Eugene Callahan, Robert Murphy, Anas Elghafari:
Illustrating the Suitability of Greedy and Dynamic Algorithms Using The Economics Concept of "Opportunity Cost". - Holden Lee:
Improved rates for identification of partially observed linear dynamical systems. - Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. - Nicola Prezza:
Subpath Queries on Compressed Graphs: a Survey. - Panagiotis Petsagkourakis, Federico Galvanin:
Safe model-based design of experiments using Gaussian processes. - Jia Wang, Brent Lagesse:
KeyGuard: Using Selective Encryption to Mitigate Keylogging in Third-Party IME. - Salwa Faour, Fabian Kuhn:
Approximate Bipartite Vertex Cover in the CONGEST Model. - Mahmoud Asem:
DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning. - Adedayo Odesile, Brent Lagesse:
TrustSense: An energy efficient trust scheme for clustered wireless sensor networks. - Yuxiao Chen, Mario A. Santillo, Mrdjan Jankovic, Aaron D. Ames:
Online decentralized decision making with inequality constraints: an ADMM approach. - Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine:
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. - Egor I. Ershov, Alexey Savchik, Illya Semenkov, Nikola Banic, Alexander Belokopytov, Daria Senshina, Karlo Koscevic, Marko Subasic, Sven Loncaric:
The Cube++ Illumination Estimation Dataset. - Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin:
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation. - Yuxiao Chen, Ugo Rosolia, Aaron D. Ames:
Decentralized Task and Path Planning for Multi-Robot Systems. - Haoye Lu, Yongyi Mao, Amiya Nayak:
On the Dynamics of Training Attention Models. - Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh:
Creative Sketch Generation. - Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. - Wasilij Barsukow:
The Active Flux scheme for nonlinear problems. - Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu:
Dual Contradistinctive Generative Autoencoder. - Yuxiao Chen, Andrew Singletary, Aaron D. Ames:
Lidar-based exploration and discretization for mobile robot planning. - David J. Gardner, Daniel R. Reynolds, Carol S. Woodward, Cody J. Balos:
Enabling New Flexibility in the SUNDIALS Suite of Nonlinear and Differential/Algebraic Equation Solvers. - Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. - Elif Ak, Taner Ozdas, Serkan Sevim, Berk Canberk:
WAE: Workload Automation Engine for CDN-specialized Container Orchestration. - Meng Ye, Xiao Lin, Giedrius Burachas, Ajay Divakaran, Yi Yao:
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning. - Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. - Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Ning Lu, Mesut E. Baran, David Lubkeman, Wenyuan Tang:
Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid. - Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Logically Consistent Loss for Visual Question Answering. - Guanze Peng, Tao Li, Shutian Liu, Juntao Chen, Quanyan Zhu:
Locally-Aware Constrained Games on Networks. - Odd Erik Gundersen:
The Fundamental Principles of Reproducibility. - Gustavo Silva, Paul Rodríguez:
Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems. - Md. Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, Firoj Alam:
Sentiment Classification in Bangla Textual Content: A Comparative Study. - Lucas A. Tavares, Petrus E. O. G. B. Abreu, Luis Antonio Aguirre:
Identification of NARX Models for Compesation Design. - Mohammadjavad Abbaspour, Mohammad Ali Masnadi-Shirazi:
Online Multi-Object Tracking with delta-GLMB Filter based on Occlusion and Identity Switch Handling. - Florian Stelzer, André Röhm, Raul Vicente, Ingo Fischer, Serhiy Yanchuk:
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops. - Rogerio Bonatti, Arthur Bucker, Sebastian A. Scherer, Mustafa Mukadam, Jessica K. Hodgins:
Batteries, camera, action! Learning a semantic control space for expressive robot cinematography. - Sudheesh Singanamalla, Suphanat Chunhapanya, Marek Vavrusa, Tanya Verma, Peter Wu, Marwan Fayed, Kurtis Heimerl, Nick Sullivan, Christopher A. Wood:
Oblivious DNS over HTTPS (ODoH): A Practical Privacy Enhancement to DNS. - Santiago R. Balseiro, Haihao Lu, Vahab S. Mirrokni:
The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems. - Jef Wambacq, Jacinto Ulloa, Geert Lombaert, Stijn François:
Interior-point methods for the phase-field approach to brittle and ductile fracture. - Howard W. Levinson, Vadim A. Markel:
Binary Discrete Fourier Transform and its Inversion. - Sally Sisi Qu, Mattia Soldan, Mengmeng Xu, Jesper Tegnér, Bernard Ghanem:
VLG-Net: Video-Language Graph Matching Network for Video Grounding. - Dongruo Zhou, Jiahao Chen, Quanquan Gu:
Provable Multi-Objective Reinforcement Learning with Generative Models. - Weilin Zhang, Yu-Xiong Wang, David A. Forsyth:
Cooperating RPN's Improve Few-Shot Object Detection. - Johanna Einsiedler, Yun Cheng, Franz Papst, Olga Saukh:
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. - Yair Kittenplon, Yonina C. Eldar, Dan Raviv:
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. - Yongqiang Huang, Juan Wilches, Yu Sun:
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization. - Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng:
Exploring Global Information for Session-based Recommendation. - Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin:
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds. - Yuichi Nagata, Shinji Imahori:
Escherization with Generalized Distance Functions Focusing on Local Structural Similarity. - Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang:
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. - Alejandro Palomino, Masood Parvania, Regan Zane:
Impact of COVID-19 on Mobility and Electric Vehicle Charging Load. - Zhouyong Liu, Shun Luo, Wubin Li, Jingben Lu, Yufan Wu, Chunguo Li, Luxi Yang:
ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis. - Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali:
A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations. - Yekai Wang:
MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices. - Reza Ghoddoosian, Saif Iftekar Sayed, Vassilis Athitsos:
Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos. - Koki Kobayashi, Masaki Ogura, Taisuke Kobayashi, Kenji Sugimoto:
Deep unfolding-based output feedback control design for linear systems with input saturation. - Xiaodan Shao, Xiaoming Chen, Derrick Wing Kwan Ng, Caijun Zhong, Zhaoyang Zhang:
Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms. - Parker C. Lusk, Kaveh Fathian, Jonathan P. How:
CLIPPER: A Graph-Theoretic Framework for Robust Data Association. - Jason Gaitonde, Éva Tardos:
Virtues of Patience in Strategic Queuing Systems. - Eric Nichols, Leo Gao, Randy Gomez:
Collaborative Storytelling with Large-scale Neural Language Models. - Thomas Ehrhard, Farzad Jafarrahmani:
Categorical models of Linear Logic with fixed points of formulas. - Daoru Han, Xiaoming He, David Lund, Xu Zhang:
PIFE-PIC: Parallel Immersed-Finite-Element Particle-In-Cell For 3-D Kinetic Simulations of Plasma-Material Interactions. - Joel Jang, Yoonjeon Kim, Kyoungho Choi, Sungho Suh:
Sequential Targeting: an incremental learning approach for data imbalance in text classification. - Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets. - Xingchao Liu, Xing Han, Na Zhang, Qiang Liu:
Certified Monotonic Neural Networks. - Himanshu Pant, Jayadeva, Sumit Soman:
Complexity Controlled Generative Adversarial Networks. - Naoya Hatano, Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano:
A global universality of two-layer neural networks with ReLU activations. - Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue:
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. - Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon:
Efficient Conditional Pre-training for Transfer Learning. - Takeru Suda, Masayuki Tanaka, Yusuke Monno, Masatoshi Okutomi:
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array. - Yuan-Kuei Wu, Kuan-Po Huang, Yu Tsao, Hung-yi Lee:
One Shot Learning for Speech Separation. - Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer:
GAN based ball screw drive picture database enlargement for failure classification. - Fangrui Liu, Zheng Liu:
Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing. - Milad Tatar Mamaghani, Yi Hong:
Joint Trajectory and Power Allocation Design for Secure Artificial Noise aided UAV Communications. - Tuo Li, Bradley Hopkins, Sri Parameswaran:
SIMF: Single-Instruction Multiple-Flush Mechanism for Processor Temporal Isolation. - Zhenhua Wang, Jiajun Meng, Jin Zhou, Dongyan Guo, Guosheng Lin, Jianhua Zhang, Qinfeng (Javen) Shi, Shengyong Chen:
LAGNet: Logic-Aware Graph Network for Human Interaction Understanding. - Dhruval Jain, Arun D. Prabhu, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Sukumar Moharana, Naresh Purre:
On-Device Text Image Super Resolution. - Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu:
Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat. - Mahmoud Khalifa, Fahad Algarni, Mohammad Ayoub Khan, Azmat Ullah, Khalid Aloufic:
A lightweight cryptography (LWC) framework to secure memory heap in Internet of Things. - Kiwon Um, Xiangyu Hu, Nils Thuerey:
Perceptual Evaluation of Liquid Simulation Methods. - Wenlong Gao, Ying Chen, Yong Peng:
Cascade Attentive Dropout for Weakly Supervised Object Detection. - Miguel G. Folgado, Verónica Sanz:
Exploring the political pulse of a country using data science tools. - Rex Perez Bringula, Kristian Paul M. Lugtu, Mark Anthony D. Uy, Ariel Aviles:
How do you feel: Emotions exhibited while Playing Computer Games and their Relationship with Gaming Behaviors. - Matias Martinez, Jean-Rémy Falleri, Martin Monperrus:
Hyperparameter Optimization for AST Differencing. - Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry Davis, C.-C. Jay Kuo:
SLADE: A Self-Training Framework For Distance Metric Learning. - Maxime Pietrantoni, Boris Chidlovskii, Tomi Silander:
Learning Synthetic to Real Transfer for Localization and Navigational Tasks. - Neri Merhav:
On Error Exponents of Encoder-Assisted Communication Systems. - Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang, Jun Won Choi:
Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection. - Rupak Sarkar, Ashiqur R. KhudaBukhsh:
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set. - Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach. - Bryar Ahmad Hassan:
CSCF: a chaotic sine cosine firefly Algorithm for practical application problems. - Marie-Lena Eckert, Kiwon Um, Nils Thuerey:
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning. - Harshil Shah, Julien Fauqueur:
Learning Informative Representations of Biomedical Relations with Latent Variable Models. - Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf:
Learning Object-Centric Video Models by Contrasting Sets. - Jing Guo, Shuping Wang, Chen Luo, Qiyu Jin, Michael Kwok-Po Ng:
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches. - Zhuojia Gu, Hancheng Lu, Peilin Hong, Yongdong Zhang:
Reliability Enhancement for VR Delivery in Mobile-Edge Empowered Dual-Connectivity μWave-mmWave HetNets. - Tom Philip Huck, Christoph Ledermann, Torsten Kröger:
Simulation-based Testing for Early Safety-Validation of Robot Systems. - Matilde Gargiani, Andrea Zanelli, Quoc Tran-Dinh, Moritz Diehl, Frank Hutter:
Convergence Analysis of Homotopy-SGD for non-convex optimization. - Ben M. Hambly, Renyuan Xu, Huining Yang:
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon. - Margaux Nattaf, Arnaud Malapert:
Filtering Rules for Flow Time Minimization in a Parallel Machine Scheduling Problem. - Jincheng Dai, Jinnan Piao, Kai Niu:
Progressive Rate-Filling: A Framework for Agile Construction of Multilevel Polar-Coded Modulation. - Peng Peng, Jiugen Wang:
Segmentation overlapping wear particles with few labelled data and imbalance sample. - Mu Zhao:
Continuous Blackjack: Equilibrium, Deviation and Adaptive Strategy. - Xiuqiang He, Changjun He, Hua Geng, Feng Liu:
Synchronization Instability of Inverter-Based Generation During Asymmetrical Grid Faults. - Vitus Benson, Alexander S. Ecker:
Assessing out-of-domain generalization for robust building damage detection. - Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu:
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering. - Yaniv Fogel, Tal Shapira, Meir Feder:
Efficient Data-Dependent Learnability. - Samuel Hurault, Coloma Ballester, Gloria Haro:
Self-Supervised Small Soccer Player Detection and Tracking. - Shivam Pal, Vipul Arora, Pawan Goyal:
Finding Prerequisite Relations between Concepts using Textbook. - Philipp Allgeuer:
Analytic Bipedal Walking with Fused Angles and Corrective Actions in the Tilt Phase Space. - Heajung Min, Kyung Min Han, Young J. Kim:
Accelerating Probabilistic Volumetric Mapping using Ray-Tracing Graphics Hardware. - Jonas Fritzsch, Tobias Schmid, Stefan Wagner:
Experiences from Large-Scale Model Checking: Verification of a Vehicle Control System. - Kui Du, Xiaohui Sun:
Pseudoinverse-free randomized block iterative methods for consistent and inconsistent linear systems. - Pedro Reviriego, Pablo Adell, Daniel Ting:
HyperLogLog (HLL) Security: Inflating Cardinality Estimates. - Dong-Kyum Kim, Hawoong Jeong:
Deep Reinforcement Learning for Feedback Control in a Collective Flashing Ratchet. - Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis. - Benjamin Graham, David Novotný:
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. - Kathleen Siminyu, Laura Martinus, Vukosi Marivate:
1st AfricaNLP Workshop Proceedings, AfricaNLP@ICLR 2020, Virtual Conference, Formerly Addis Ababa Ethiopia, 26th April 2020. - David Hanson, Frankie Storm, Wenwei Huang, Vytas Krisciunas, Tiger Darrow, Audrey Brown, Mengna Lei, Matthew P. Aylett, Adam Pickrell, Sophia the Robot:
SophiaPop: Experiments in Human-AI Collaboration on Popular Music. - Mohamadreza Faridghasemnia, Daniele Nardi, Alessandro Saffiotti:
Towards Abstract Relational Learning in Human Robot Interaction. - Neus Llop Torrent, Giorgio Visani, Enrico Bagli:
PSD2 Explainable AI Model for Credit Scoring. - Fanchao Qi, Yangyi Chen, Mukai Li, Zhiyuan Liu, Maosong Sun:
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. - Péter Bereczky, Dániel Horpácsi, Simon J. Thompson:
A Comparison of Big-step Semantics Definition Styles. - Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide:
Neural Scene Graphs for Dynamic Scenes. - Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. - Tatsuhiko Hatanaka, Felix Hommelsheim, Takehiro Ito, Yusuke Kobayashi, Moritz Mühlenthaler, Akira Suzuki:
Fixed-Parameter Algorithms for Graph Constraint Logic. - Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Harshit Srivastava, Ahmed Hallawa, Rainer Leupers:
Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach. - Xiang Fang, Yuchong Hu:
Double Self-weighted Multi-view Clustering via Adaptive View Fusion. - Moritz Baum, Julian Dibbelt, Dorothea Wagner, Tobias Zündorf:
Modeling and Engineering Constrained Shortest Path Algorithms for Battery Electric Vehicles. - Mahdi Barzegar Khalilsarai, Benedikt Groß, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire:
WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing. - Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, André Freitas:
Cost-effective Variational Active Entity Resolution. - Quoc Thai Nguyen, Thoai Linh Nguyen, Ngoc Hoang Luong, Quoc Hung Ngo:
Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews. - Alex Bogatu, Alvaro A. A. Fernandes, Norman W. Paton, Nikolaos Konstantinou:
Dataset Discovery in Data Lakes. - Jani Marjanen, Elaine Zosa, Simon Hengchen, Lidia Pivovarova, Mikko Tolonen:
Topic modelling discourse dynamics in historical newspapers. - George Pantazis, George Dimas, Dimitris K. Iakovidis:
SalSum: Saliency-based Video Summarization using Generative Adversarial Networks. - Veronika Cheplygina, Adria Perez-Rovira, Wieying Kuo, Harm A. W. M. Tiddens, Marleen de Bruijne:
Crowdsourcing Airway Annotations in Chest Computed Tomography Images. - Arnaud Fanthomme, Rémi Monasson:
Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks. - Hagit Attiya, Armando Castañeda, Sergio Rajsbaum:
Locally Solvable Tasks and the Limitations of Valency Arguments. - Mohsen Ghaffari, Bernhard Haeupler, Goran Zuzic:
Hop-Constrained Oblivious Routing. - Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. - Zachary Ravichandran, J. Daniel Griffith, Benjamin Smith, Costas Frost:
Bridging Scene Understanding and Task Execution with Flexible Simulation Environments. - Noemi Mauro, Liliana Ardissono, Giovanna Petrone:
User and Item-aware Estimation of Review Helpfulness. - Xinyi Xu, Lingjuan Lyu:
Towards Building a Robust and Fair Federated Learning System. - Kehe Wu, Zuge Chen, Xiaoliang Zhang, Wei Li:
Improvement of Classification in One-Stage Detector. - Sam Davis, Giuseppe Coccia, Sam Gooch, Julian Mack:
Empirical Evaluation of Deep Learning Model Compression Techniques on the WaveNet Vocoder. - Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani:
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. - Yorai Shaoul, Katherine Liu, Kyel Ok, Nicholas Roy:
Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association. - Sharadha Srinivasan, Madan Musuvathi:
GenderRobustness: Robustness of Gender Detection in Facial Recognition Systems with variation in Image Properties. - Israa Khaled, Charlotte Langlais, Ammar El Falou, Bachar Elhassan, Michel Jézéquel:
Low-Complexity Angle-Domain MIMO NOMA System with partial channel state information for MmWave Communications. - Luca Varotto, Angelo Cenedese, Andrea Cavallaro:
Probabilistic Radio-Visual Active Sensing for Search and Tracking. - Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye:
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. - Ana Carpio, Elena Cebrián:
Positivity preserving high order schemes for angiogenesis models. - Alfonso Di Pace, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Aldo Meglio, Francesco Orciuoli:
Implementing the Cognition Level for Industry 4.0 by integrating Augmented Reality and Manufacturing Execution Systems. - Pál András Papp, Roger Wattenhofer:
Sequential Defaulting in Financial Networks. - Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox:
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins. - Corey Williams, Adam Schroeder:
Utilizing ROS 1 and the Turtlebot3 in a Multi-Robot System. - Thai Le, Noseong Park, Dongwon Lee:
Detecting Universal Trigger's Adversarial Attack with Honeypot. - Hussein Sibai, Sayan Mitra:
State Estimation of Open Dynamical Systems with Slow Inputs: Entropy, Bit Rates, and relation with Switched Systems. - Artem Kaznatcheev, Prakash Panangaden:
Weighted automata are compact and actively learnable. - Leonid Mill, David Wolff, Nele Gerrits, Patrick Philipp, Lasse Kling, Florian Vollnhals, Andrew Ignatenko, Christian Jaremenko, Yixing Huang, Olivier De Castro, Jean-Nicolas Audinot, Inge Nelissen, Tom Wirtz, Andreas Maier, Silke H. Christiansen:
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. - Yue Hao, Weilin Guan, Edwin Alexander Peraza Hernandez, Jyh-Ming Lien:
Planning Folding Motion with Simulation in the Loop Using Laser Forming Origami and Thermal Behaviors as an Example. - David A. Forsyth, Jason J. Rock:
Intrinsic Image Decomposition using Paradigms. - Rahav Gowtham Venkateswaran, Ursula Kowalsky, Dieter Dinkler:
A modified bond model for describing isotropic linear elastic material behaviour with the particle method. - Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan:
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. - Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand:
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. - Weina Wang, Qiaomin Xie, Mor Harchol-Balter:
Zero Queueing for Multi-Server Jobs. - Paritosh Verma:
Space Lower Bounds for Graph Stream Problems. - Olivier Carton:
Ambiguity through the lens of measure theory. - Ankith Mohan, Aiichiro Nakano, Emilio Ferrara:
Graph Signal Recovery Using Restricted Boltzmann Machines. - Mark W. Stephenson, Ram Rangan:
AZP: Automatic Specialization for Zero Values in Gaming Applications. - Anubhav Guha, Anuradha Annaswamy:
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty. - Konstantinos Kousias, Apostolos Pappas, Ozgu Alay, Antonios Argyriou, Michael Riegler:
Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility. - Xinlei Chen, Kaiming He:
Exploring Simple Siamese Representation Learning. - Azhar Shaikh, Nishant Sinha:
Learn to Bind and Grow Neural Structures. - Milinda Fernando, Hari Sundar:
Scalable Local Timestepping on Octree Grids. - Filipe Marinho de Brito, Gélson da Cruz Júnior, Enzo Morosini Frazzon, João Pedro Tavares Vieira Basto, Symone G. S. Alcalá:
Design Approach for Additive Manufacturing in Spare Part Supply Chains. - Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Value of Data in Learning-Based Control for Training Subset Selection. - Yasser Abdelaziz Dahou Djilali, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. - Thembelihle Dlamini, Sifiso Vilakati:
LSTM-based Traffic Load Balancing and Resource Allocation for an Edge System. - Junhyeok Ahn, Luis Sentis:
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System. - Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
Large Scale Neural Architecture Search with Polyharmonic Splines. - Tom Grimes, Eric Church, William Pitts, Lynn Wood, Eva Brayfindley, Luke Erikson, Mark Greaves:
Adversarial Training for EM Classification Networks. - Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu:
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. - Meven Lennon-Bertrand, Kenji Maillard, Nicolas Tabareau, Éric Tanter:
Gradualizing the Calculus of Inductive Constructions. - Dimitris Boskos, Dimos V. Dimarogonas:
Finite Horizon Discrete Models for Multi-Agent Control Systems with Coupled Dynamics. - Zhentian Qian, Kartik Patath, Jie Fu, Jing Xiao:
Semantic SLAM with Autonomous Object-Level Data Association. - Manyun Huang, Junbo Zhao, Zhinong Wei, Marco Pau, Guoqiang Sun:
Distributed Robust State Estimation for Hybrid AC/DC Distribution Systems using Multi-Source Data. - Hashim A. Hashim, Abdelrahman E. E. Eltoukhy:
Landmark and IMU Data Fusion: Systematic Convergence Geometric Nonlinear Observer for SLAM and Velocity Bias. - Erwin Hernández, Felipe Lepe, Jesus Vellojin:
A mixed parameter formulation with applications to linear viscoelasticity. - Michael Gr. Voskoglou:
Assessment and Linear Programming under Fuzzy Conditions. - Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit S. Dhillon:
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization. - Yoji Yamato:
Study of Resource Amount Configuration for Automatic Application Offloading. - Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? - Youngkyu Kim, Karen May Wang, Youngsoo Choi:
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code. - Rewon Child:
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images. - Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram:
Self-Supervised learning with cross-modal transformers for emotion recognition. - Abe Leite, Saúl A. Blanco:
Effects of Human vs. Automatic Feedback on Students' Understanding of AI Concepts and Programming Style. - Renu Sharma, Arun Ross:
Viability of Optical Coherence Tomography for Iris Presentation Attack Detection. - Mathilde Fekom, Argyris Kalogeratos:
Efficient stream-based Max-Min diversification with minimal failure rate. - Chris M. Roadknight, Prapa Rattadilok, Uwe Aickelin:
Teaching Key Machine Learning Principles Using Anti-learning Datasets. - Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew J. Plumptre, Milind Tambe:
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery. - Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli:
Learning How to Solve Bubble Ball. - James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
A General Framework for Distributed Inference with Uncertain Models. - Junwei Liang:
Joint Analysis and Prediction of Human Actions and Paths in Video. - Di Feng, Ali Harakeh, Steven L. Waslander, Klaus Dietmayer:
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving. - Johannes Schneider, Rene Abraham, Christian Meske:
AI Governance for Businesses. - Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin:
An Effective Anti-Aliasing Approach for Residual Networks. - David Haley, David Doty:
Computing Properties of Thermodynamic Binding Networks: An Integer Programming Approach. - Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, Shih-Fu Chang:
Open-Vocabulary Object Detection Using Captions. - Godwin Enemali, Rui Zhang, Hugh McCann, Chang Liu:
Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography. - Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQV3: Dyadic Neural Network Quantization. - Xiaochu Wang, Wenyuan Tang:
Analysis and Evaluation of Baseline Manipulation in Demand Response Programs. - Vrindavan Harrison, Juraj Juraska, Wen Cui, Lena Reed, Kevin K. Bowden, JiaQi Wu, Brian Schwarzmann, Abteen Ebrahimi, Rishi Rajasekaran, Nikhil Varghese, Max Wechsler-Azen, Steve Whittaker, Jeffrey Flanigan, Marilyn A. Walker:
Athena: Constructing Dialogues Dynamically with Discourse Constraints. - Haozhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen:
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations. - Ross Glandon, Mahesh Narayanamurthi, Adrian Sandu:
Linearly Implicit Multistep Methods for Time Integration. - Gowri Somanath, Daniel Kurz:
HDR Environment Map Estimation for Real-Time Augmented Reality. - Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala:
Iterative Text-based Editing of Talking-heads Using Neural Retargeting. - Boxiao Chen, Selvaprabu Nadarajah, Parshan Pakiman, Stefanus Jasin:
Self-adapting Robustness in Demand Learning. - Michal Derezinski, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney:
Sparse sketches with small inversion bias. - Mahdi Elhousni, Xinming Huang, Ziming Zhang:
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance. - Shihong Fang, Anna Choromanska:
Backdoor Attacks on the DNN Interpretation System. - James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong:
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images. - Weixin Liang, James Zou:
Neural Group Testing to Accelerate Deep Learning. - Sarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasaman Khazaeni:
Explainable Composition of Aggregated Assistants. - Kareem M. Attiah, Foad Sohrabi, Wei Yu:
Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems. - Xiaoyi Qin, Yaogen Yang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li:
Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification. - Lintao Ye, Aritra Mitra, Shreyas Sundaram:
Near-Optimal Data Source Selection for Bayesian Learning. - Hussein Sibai, Yangge Li, Sayan Mitra:
SymAR: Symmetry Abstractions and Refinement for Accelerating Scenarios with Neural Network Controllers Verification. - Elahe Aghapour, Nora Ayanian:
Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments. - Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park:
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting. - Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti:
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs. - Chuanzheng Wang, Yinan Li, Yiming Meng, Stephen L. Smith, Jun Liu:
Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control. - Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox:
Object Rearrangement Using Learned Implicit Collision Functions. - Ravindra Yadav, Ashish Sardana, Vinay P. Namboodiri, Rajesh M. Hegde:
Stochastic Talking Face Generation Using Latent Distribution Matching. - Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames:
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. - Weixin Liang, Feiyang Niu, Aishwarya N. Reganti, Govind Thattai, Gökhan Tür:
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering. - Zilong Cheng, Jun Ma, Xiaoxue Zhang, Frank L. Lewis, Tong Heng Lee:
Neural Network iLQR: A New Reinforcement Learning Architecture. - Shweta Dahale, Balasubramaniam Natarajan:
Multi Time-scale Imputation aided State Estimation in Distribution System. - Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu:
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient. - Max Jwo Lem Lee, Li-Ta Hsu, Hoi-Fung Ng, Shang Lee:
Semantic-Based VPS for Smartphone Localization in Challenging Urban Environments. - Hiroyasu Ando, T. Okamoto, Hanten Chang, T. Noguchi, Shinji Nakaoka:
Computation harvesting in road traffic dynamics. - Dongkwan Kim, Eunsoo Kim, Sang Kil Cha, Sooel Son, Yongdae Kim:
Revisiting Binary Code Similarity Analysis using Interpretable Feature Engineering and Lessons Learned. - Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler:
Emergent Road Rules In Multi-Agent Driving Environments. - Libuse Hannah Veprek, Patricia Seymour, Pietro Michelucci:
Human computation requires and enables a new approach to ethical review. - Gioele Zardini, Dejan Milojevic, Andrea Censi, Emilio Frazzoli:
A Formal Approach to the Co-Design of Embodied Intelligence. - Gioele Zardini, Andrea Censi, Emilio Frazzoli:
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis. - Faizaan Sakib, Tilo Burghardt:
Visual Recognition of Great Ape Behaviours in the Wild. - Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. - Mingshan Jia, Bogdan Gabrys, Katarzyna Musial:
Measuring Quadrangle Formation in Complex Networks. - Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas:
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks. - Olivier Bernard, Liudi Lu, Julien Salomon:
Mixing strategies combined with shape design to enhance productivity of a raceway pond. - Lei Li, Suping Wu:
DmifNet: 3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion. - Shi Jin, Lei Li, Yiqun Sun:
On the Random Batch Method for second order interacting particle systems. - Aniruddha Singhal, Ayush Kumar, Shivam Thukral, Deepak Raina, Swagat Kumar:
Chitrakar: Robotic System for Drawing Jordan Curve of Facial Portrait. - Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella:
An Empirical Study on Failed Error Propagation in Java Programs with Real Faults. - Philipp Klaus Krause:
lospre in linear time. - Nandish Chattopadhyay, Lionell Yip En Zhi, Bryan Tan Bing Xing, Anupam Chattopadhyay:
Spatially Correlated Patterns in Adversarial Images. - Nicolás García Trillos, Ryan Murray:
Adversarial Classification: Necessary conditions and geometric flows. - Leonid Antsfeld, Boris Chidlovskii, Emilio Sansano-Sansano:
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking. - Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang:
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. - Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu, Tianpei Zou:
MoNet: Motion-based Point Cloud Prediction Network. - Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen:
Efficient Neural Network Implementation with Quadratic Neuron. - Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava:
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning. - Ondrej Dusek, Zdenek Kasner:
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference. - Amirhosein Alian, Mohammad Zareinejad, Heidar Ali Talebi:
Control and implementation of fluid-driven soft gripper with dynamic uncertainty of object. - Pitchayagan Temniranrat, Kantip Kiratiratanapruk, Apichon Kitvimonrat, Wasin Sinthupinyo, Sujin Patarapuwadol:
A System for Automatic Rice Disease Detectionfrom Rice Paddy Images Serviced via a Chatbot. - Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla:
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. - Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed:
On the Convergence of Reinforcement Learning. - Mengmeng Xu, Juan-Manuel Pérez-Rúa, Victor Escorcia, Brais Martínez, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang:
Boundary-sensitive Pre-training for Temporal Localization in Videos. - AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Continuous Ant-Based Neural Topology Search. - Victor Makarenkov, Yael Segalovitz:
Sensing Ambiguity in Henry James' "The Turn of the Screw". - Adolfo Almeida, Johan Pieter de Villiers, Allan De Freitas, Mergandran Velayudan:
Exploring the multimodal information from video content using deep learning features of appearance, audio and action for video recommendation. - Paola Ferrari, Isabella Furci, Stefano Serra-Capizzano:
Multilevel symmetrized Toeplitz structures and spectral distribution results for the related matrix-sequences. - Miklos Borsi:
Imperfect Oracles: The Effect of Strategic Information on Stock Markets. - Raman Goyal, Manoranjan Majji, Robert E. Skelton:
Integrating Structure, Information Architecture and Control Design for Tensegrity Systems. - Nicola Giaquinto, Marco Scarpetta, Maurizio Spadavecchia, Gregorio Andria:
Deep Learning-Based Computer Vision for Real Time Intravenous Drip Infusion Monitoring. - Nima Safari, George Price, C. Y. Chung:
Comprehensive Assessment of COVID-19 Impact on Saskatchewan Power System Operations. - Alisha Zachariah:
Efficiently Estimating a Sparse Delay-Doppler Channel. - Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen:
Robust Watermarking Using Inverse Gradient Attention. - Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci:
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks. - Mahdi Biparva, John K. Tsotsos:
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks. - Lukás Vacek, Václav Kucera:
Discontinuous Galerkin method for macroscopic traffic flow models on networks. - Matej Klima, Vaclav Rechtberger, Miroslav Bures, Xavier J. A. Bellekens, Hanan Hindy, Bestoun S. Ahmed:
Quality and Reliability Metrics for IoT Systems: A Consolidated View. - Miroslav Bures, Vaclav Rechtberger:
Dynamic Data Consistency Tests Using a CRUD Matrix as an Underlying Model. - Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow:
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations. - Michael Mitzenmacher, Saeed Seddighin:
Erdös-Szekeres Partitioning Problem. - Tomasz Kociumaka, Saeed Seddighin:
Improved Dynamic Algorithms for Longest Increasing Subsequence. - Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling:
Transparent Object Tracking Benchmark. - Kevin R. Chen, Daniel Svoboda, Kenric P. Nelson:
Use of Student's t-Distribution for the Latent Layer in a Coupled Variational Autoencoder. - Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. - Marco Fasondini, Sheehan Olver, Yuan Xu:
Orthogonal polynomials on planar cubic curves. - Gourav Wadhwa, Amandeep Kharb, Satyam Mishra, Mohit Kumar, Shreyansh Srivastav:
A Comprehensive Survey on Real-Time Voltage Stability Assessment for Power Systems. - Gholamreza Ramezan, Cyril Leung, Chunyan Miao:
Optimal Transaction Queue Waiting in Blockchain Mining. - Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer:
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. - Tianrong Chen, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games. - Umut Can Çabuk, Vahid Khalilpour Akram, Orhan Dagdeviren:
Analysis of Movement-Based Connectivity Restoration Problem in Wireless Ad-Hoc and Sensor Networks. - Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth:
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment. - Jaeyoung Song, Marios Kountouris:
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need? - Michael Riera, Erfan Bank Tavakoli, Masudul Hassan Quraishi, Fengbo Ren:
HALO 1.0: A Hardware-agnostic Accelerator Orchestration Framework for Enabling Hardware-agnostic Programming with True Performance Portability for Heterogeneous HPC. - (Withdrawn) Reinforcement learning with distance-based incentive/penalty (DIP) updates for highly constrained industrial control systems.
- Claudia Pérez-D'Arpino, Rebecca P. Khurshid, Julie A. Shah:
Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators. - Allen Hao, Stefano Rini, Vamsi K. Amalladinne, Asit Kumar Pradhan, Jean-François Chamberland:
An Exploration of the Heterogeneous Unsourced MAC. - Kirill A. Korinsky:
Electt: running auditable and verifiable elections in untrusted environments. - Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang:
Evolving Search Space for Neural Architecture Search. - Prashanth Vijayaraghavan, Deb Roy:
Video SemNet: Memory-Augmented Video Semantic Network. - Giovanni Faria, Michel Fernandes Peres, Osmar Moreira da Silva Neto, Jefferson Rodrigo Schuertz, Edson Leonardo dos Santos, Carlos Alexandre Gouvea da Silva:
A Workbench for Testing and Simulation Faults in Three-phase Electric Motors with Intelligent Electronic Device and Microcontrolled System. - Meenakshi Syamkumar, Yugali Gullapalli, Wei Tang, Paul Barford, Joel Sommers:
BigBen: Telemetry Processing for Internet-wide Event Monitoring. - Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. - Zhenyu Shou, Xuan Di:
Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm. - (Withdrawn) Hierachical Delta-Attention Method for Multimodal Fusion.
- Avishan Bagherinezhad, Michael Young, Bei Wang, Masood Parvania:
Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems. - Kazem Jahanbakhsh:
Applying Multi-armed Bandit Algorithms to Computational Advertising. - Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
A Bayesian Account of Measures of Interpretability in Human-AI Interaction. - (Withdrawn) A new algorithm for computing μ-bases of the univariate polynomial vector.
- Aayush Jung Rana, Yogesh S. Rawat:
We don't Need Thousand Proposals: Single Shot Actor-Action Detection in Videos. - Feiran Zhao, Keyou You:
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator. - Bahar Asgari, Ramyad Hadidi, Joshua Dierberger, Charlotte Steinichen, Hyesoon Kim:
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads. - Yiyuan Pan, Xuecheng Xu, Weijie Li, Yue Wang, Rong Xiong:
CORAL: Colored structural representation for bi-modal place recognition. - Alexandru Ionut, James C. Hateley:
Fresnel Integral Computation Techniques. - Songhua Li, Minming Li, Lingjie Duan, Victor C. S. Lee:
Online Maximum k-Interval Coverage Problem. - Michail Gkagkos, Charalambos D. Charalambous:
Structural Properties of Optimal Test Channels for Distributed Source Coding with Decoder Side Information for Multivariate Gaussian Sources with Square-Error Fidelity. - Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang:
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach. - Zhi Sun, Sarankumar Balakrishnan, Lu Su, Arupjyoti Bhuyan, Pu Wang, Chunming Qiao:
Who is in Control? Practical Physical Layer Attack and Defense for mmWave based Sensing in Autonomous Vehicles. - Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. - Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu:
Towards Class-Specific Unit. - Kwang Ho Kim, Sihem Mesnager, Jong Hyok Choe, Dok Nam Lee:
Preimages of p-Linearized Polynomials over Fp. - Eklavya Sharma:
Harmonic algorithms for packing d-dimensional cuboids into bins. - Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher, Iskander Gaba, Ahmed Helal, Mohammed Elrazzaz:
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings. - Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang:
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning. - Shuyang Gu, Jianmin Bao, Dong Chen:
Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition. - Nicolas Anquetil, Anne Etien, Mahugnon H. Houekpetodji, Benoît Verhaeghe, Stéphane Ducasse, Clotilde Toullec, Fatiha Djareddir, Jérôme Sudich, Mustapha Derras:
Modular Moose: A new generation software reverse engineering environment. - Pratik Ratadiya, Khushi Asawa, Omkar Nikhal:
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction. - Anders Aamand, Mikkel Abrahamsen, Thomas D. Ahle, Peter M. R. Rasmussen:
Tiling with Squares and Packing Dominos in Polynomial Time. - Hoang NT, Takanori Maehara, Tsuyoshi Murata:
Stacked Graph Filter. - Ahmad T. Anaqreh, Boglárka G.-Tóth, Tamás Vinkó:
Algorithmic upper bounds for graph geodetic number. - Antoine Guillaume, Christel Vrain, Wael Elloumi:
Time series classification for predictive maintenance on event logs. - Jiang Zhang, Ivan Beschastnikh, Sergey Mechtaev, Abhik Roychoudhury:
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests. - Jiawei Zhu, Chao Tao, Hanhan Deng, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li:
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. - Xinzheng Zhang, Hang Su, Ce Zhang, Xiaowei Gu, Xiaoheng Tan, Peter M. Atkinson:
Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning. - Mohammad R. Bayanlou, Mehdi Khoshboresh-Masouleh:
SAMA-VTOL: A new unmanned aircraft system for remotely sensed data collection. - Shanika Karunasekera, Kwan Hui Lim, Aaron Harwood:
Mining Influentials and their Bot Activities on Twitter Campaigns. - Mohammad Reza Samsami, Hossein Alimadad:
Distributed Deep Reinforcement Learning: An Overview. - Shenglan Liu, Yang Yu:
Angular Embedding: A New Angular Robust Principal Component Analysis. - Brett D. Roads, Bradley C. Love:
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings. - Adem Kaya:
Application of the residual-free bubbles to the Helmholtz equation with large wave numbers. - Antonela Tommasel, Daniela Godoy, Juan Manuel Rodriguez:
Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic. - Rex Perez Bringula, Ma. Carmela Racelis, Rey C. Rodrigueza:
Who's Who in the Information Technology Research in the Philippines A Social Network Analysis. - Rex Perez Bringula:
Development of Rubrics for Capstone Project Courses: Perspectives from Teachers and Students. - Jinjin Gu, Chao Dong:
Interpreting Super-Resolution Networks with Local Attribution Maps. - Rafael Aleixo:
Random noise attenuation on finite-difference wave propagation using fuzzy transform. - Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. - Pierre Bouvier, Hubert Garavel:
The VLSAT-1 Benchmark Suite. - Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Saïd Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze:
Efficient embedding network for 3D brain tumor segmentation. - Zhao-Zhou Li, Lu Li, Zhengyi Shao:
Robust Gaussian Process Regression Based on Iterative Trimming. - Shivi Gupta, Shashi Kant Gupta:
Investigating Emotion-Color Association in Deep Neural Networks. - Oleg Lobachev, Takuya Funatomi, Alexander Pfaffenroth, Reinhold Förster, Lars Knudsen, Christoph Wrede, Michael Guthe, David Haberthür, Ruslan Hlushchuk, Thomas Salaets, Jaan Toelen, Simone Gaffling, Christian Mühlfeld, Roman Grothausmann:
Registration of serial sections: An evaluation method based on distortions of the ground truths. - Marcello Serqueira, Pedro Henrique González, Eduardo Bezerra:
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks. - Eli Sennesh:
Learning a Deep Generative Model like a Program: the Free Category Prior. - Chunmei Wang:
A Modified Primal-Dual Weak Galerkin Finite Element Method for Second Order Elliptic Equations in Non-Divergence Form. - Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis:
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares. - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
RNNP: A Robust Few-Shot Learning Approach. - Andreea-Maria Oncescu, João F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie:
QuerYD: A video dataset with high-quality textual and audio narrations. - Simon Gabay, Thibault Clérice, Jean-Baptiste Camps, Jean-Baptiste Tanguy, Matthias Gille Levenson:
Standardizing linguistic data: method and tools for annotating (pre-orthographic) French. - Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta:
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints. - Junli Cao, Junyan Wu, Jing W. Zhang, Jay J. Ye, Limin Yu:
Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma. - Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao:
Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution. - Renos Karamanis, He-in Cheong, Simon Hu, Marc Stettler, Panagiotis Angeloudis:
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing. - Jesse Chan, Yimin Lin, Tim Warburton:
Entropy stable modal discontinuous Galerkin schemes and wall boundary conditions for the compressible Navier-Stokes equations. - Yadollah Yaghoobzadeh, Alexandre Rochette, Timothy J. Hazen:
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection. - Matej Grcic, Petra Bevandic, Sinisa Segvic:
Dense open-set recognition with synthetic outliers generated by Real NVP. - Gevorg Yeghikyan:
How will AI and automation transform society and cities? - Songze Li, David Tse:
TaiJi: Longest Chain Availability with BFT Fast Confirmation. - Deepti Gupta, Paras Bhatt, Smriti Bhatt:
A Game Theoretic Analysis for Cooperative Smart Farming. - Huan Nguyen, Mina Kamel, Kostas Alexis, Roland Siegwart:
Model Predictive Control for Micro Aerial Vehicles: A Survey. - Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. - Shadrack Awah Buo:
An application of cyberpsychology in business email compromise. - Haemanth Santhi Ponnusamy, Detmar Meurers:
Employing distributional semantics to organize task-focused vocabulary learning. - Wayes Tushar, Chau Yuen, Tapan Kumar Saha, Thomas Morstyn, Archie Chapman, M. Jan E. Alam, Sarmad Hanif, H. Vincent Poor:
Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges. - Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li:
Uncorrelated Semi-paired Subspace Learning. - Mustafa Tosun, Umut Can Çabuk, Vahid Khalilpour Akram, Orhan Dagdeviren:
On Connectivity-Aware Distributed Mobility Models for Area Coverage in Drone Networks. - Cyrus Cousins, Shahrzad Haddadan, Eli Upfal:
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE. - Yuanxin Zhong:
Differentiable Computational Geometry for 2D and 3D machine learning. - Amir Mohammad Esmaieeli Sikaroudi, Md Habibor Rahman:
Predictive process mining by network of classifiers and clusterers: the PEDF model. - Jie Gao, Weihua Zhuang, Mushu Li, Xuemin Shen, Xu Li:
MAC for Machine Type Communications in Industrial IoT - Part I: Protocol Design and Analysis. - Jie Gao, Mushu Li, Weihua Zhuang, Xuemin Shen, Xu Li:
MAC for Machine Type Communications in Industrial IoT - Part II: Scheduling and Numerical Results. - Taeyoung An, A. Yavuz Oruç:
Searching and Sorting with O(n2) processors in O(1) time. - Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien:
On the Convergence of Continuous Constrained Optimization for Structure Learning. - Zeyd Boukhers, Danniene Wete, Steffen Staab:
LaHAR: Latent Human Activity Recognition using LDA. - Zeke Xie, Issei Sato, Masashi Sugiyama:
Stable Weight Decay Regularization. - Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Martin Robertson:
Imbalance Robust Softmax for Deep Embeeding Learning. - Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag:
When and Why Test-Time Augmentation Works. - Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
LINDT: Tackling Negative Federated Learning with Local Adaptation. - Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia:
Learnable Boundary Guided Adversarial Training. - Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon:
The Selectivity and Competition of the Mind's Eye in Visual Perception. - Yu Sun, Jian Zhang:
Distance-based Data Cleaning: A Survey (Technical Report). - Tie Zhang:
A difference method for solving the nonlinear q-factional differential equations on time scale. - Sitan Chen, Zhao Song, Danyang Zhuo:
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization. - Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. - Ziliang Zhong, Muhang Zheng, Huafeng Mai, Jianan Zhao, Xinyi Liu:
Cancer image classification based on DenseNet model. - Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. - Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo M. Nebot:
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. - Kunming Li, Mao Shan, Karan Narula, Stewart Worrall, Eduardo M. Nebot:
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles. - Mohammad Golbabaee, Clarice Poon:
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting. - Xiang Fang, Yuchong Hu, Pan Zhou, Dapeng Oliver Wu:
V3H: Incomplete Multi-view Clustering via View Variation and View Heredity. - Tie Zhang, Shangyou Zhang:
The Weak Galerkin Finite Element Method for the Symmetric Hyperbolic Systems. - Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. - Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross:
Complex-valued Iris Recognition Network. - Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer:
Balance Regularized Neural Network Models for Causal Effect Estimation. - Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. - Wei Yu, Wenxin Chen, Steve Easterbrook, Animesh Garg:
Action Concept Grounding Network for Semantically-Consistent Video Generation. - Marcel Keller, Ke Sun:
Effectiveness of MPC-friendly Softmax Replacement. - Reza Babanezhad, Simon Lacoste-Julien:
Geometry-Aware Universal Mirror-Prox. - Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen:
Graph Attention Tracking. - Markus Mehnert, William S. Oates, Paul Steinmann:
A Geometrically Exact Continuum Framework for Light-Matter Interaction in Photo-Active Polymers I. Variational Setting. - Qing Zhu, Qishen Shang, Han Hu, Haojia Yu, Ruofei Zhong:
Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment. - Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick:
Risk-Sensitive Motion Planning using Entropic Value-at-Risk. - Xianjin Chao, Yanrui Bin, Wenqing Chu, Xuan Cao, Yanhao Ge, Chengjie Wang, Jilin Li, Feiyue Huang, Howard Leung:
Adversarial Refinement Network for Human Motion Prediction. - Nazar Emirov, Cheng Cheng, Qiyu Sun, Zhihua Qu:
Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks. - Ankit Murarka, Balaji Radhakrishnan, Sushma Ravichandran:
Detection and Classification of mental illnesses on social media using RoBERTa. - Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare:
Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks. - Gyeongsik Moon, Kyoung Mu Lee:
NeuralAnnot: Neural Annotator for in-the-wild Expressive 3D Human Pose and Mesh Training Sets. - Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. - Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi:
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. - Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Learning Hidden Markov Models from Aggregate Observations. - Bin Li, Bo Lu, Yiang Lu, Qi Dou, Yun-Hui Liu:
Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception. - Jinlu Liu, Liang Song, Yongqiang Qin:
BiOpt: Bi-Level Optimization for Few-Shot Segmentation. - Takuto Kanamori, Hiromu Miyazaki, Kenji Kise:
RVCoreP-32IC: A high-performance RISC-V soft processor with an efficient fetch unit supporting the compressed instructions. - Shridhar Velhal, Suresh Sundaram:
Restricted Airspace Protection using Multi-UAV Spatio-TemporalMulti-Task Allocation. - Udayan Ganguly, Sandip Lashkare, Swaroop Ganguly:
India's Rise in Nanoelectronics Research. - Ziang Long, Penghang Yin, Jack Xin:
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. - Lars Lien Ankile, Morgan Feet Heggland, Kjartan Krange:
Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control. - Rajesh Dachiraju:
Approximation of a Multivariate Function of Bounded Variation from its Scattered Data. - Zheng Dang, Fei Wang, Mathieu Salzmann:
3D Registration for Self-Occluded Objects in Context. - Zehua Zhang, David Crandall:
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. - Ramchandra Joshi, Raviraj Joshi:
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text. - Roberto J. Cier, Sergio Rojas, Victor M. Calo:
An automatic-adaptivity stabilized finite element method via residual minimization for heterogeneous, anisotropic advection-diffusion-reaction problems. - Miao Yang, Akitanoshou Wong, Hongbin Zhu, Haifeng Wang, Hua Qian:
Federated learning with class imbalance reduction. - Eklavya Sharma:
An Approximation Algorithm for Covering Linear Programs and its Application to Bin-Packing. - Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho:
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing. - Junyi An, Fengshan Liu, Jian Zhao, Furao Shen:
IC Neuron: An Efficient Unit to Construct Neural Networks. - Dianbo Liu, He Zhu:
FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network. - Ekraam Sabir, Ayush Jaiswal, Wael AbdAlmageed, Prem Natarajan:
MEG: Multi-Evidence GNN for Multimodal Semantic Forensics. - Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. - Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi:
Evolutionary Planning in Latent Space. - Joël Chaskalovic, Franck Assous:
Numerical validation of probabilistic laws to evaluate finite element error estimates. - Joël Chaskalovic, Franck Assous:
Generalized Beta Prime Distribution Applied to Finite Element Error Approximation. - Emilio Tanowe Maddalena, Paul Scharnhorst, Yuning Jiang, Colin N. Jones:
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees. - Ioannis D. Apostolopoulos, Mpesiana Tzani:
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19. - Yuzhi Zhao, Lai Man Po, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong:
Legacy Photo Editing with Learned Noise Prior. - Jessica Deuschel, Bettina Finzel, Ines Rieger:
Uncovering the Bias in Facial Expressions. - Gerald Baier, Antonin Deschemps, Michael Schmitt, Naoto Yokoya:
Building a Parallel Universe Image Synthesis from Land Cover Maps and Auxiliary Raster Data. - Jochen Meyer, Thomas Fröhlich, Kai von Holdt:
Corona-Warn-App: Erste Ergebnisse einer Onlineumfrage zur (Nicht-)Nutzung und Gebrauch. - Sina Molavipour, Germán Bassi, Mladen Cicic, Mikael Skoglund, Karl Henrik Johansson:
Causality Graph of Vehicular Traffic Flow. - Jiahua Xu, Damien Ackerer, Alevtina Dubovitskaya:
A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs. - Nikolaj Takata Mücke, Sander M. Bohté, Cornelis W. Oosterlee:
Reduced Order Modeling for Parameterized Time-Dependent PDEs using Spatially and Memory Aware Deep Learning. - Adarsh Srinivasan, N. S. Narayanaswamy:
The Connected Domination Number of Grids. - Milad Sefidgaran, Mansoor I. Yousefi:
Lower Bound on the Capacity of the Continuous-Space SSFM Model of Optical Fiber. - Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth:
Characterization of Industrial Smoke Plumes from Remote Sensing Data. - Chenguang Fang, Chen Wang:
Time Series Data Imputation: A Survey on Deep Learning Approaches. - Lizhou Wu, Siddharth Rao, Mottaqiallah Taouil, Erik Jan Marinissen, Gouri Sankar Kar, Said Hamdioui:
Impact of Magnetic Coupling and Density on STT-MRAM Performance. - Robin Strässer, Julian Berberich, Frank Allgöwer:
Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics. - Yuewen Zhu, Chunran Zheng, Chongjian Yuan, Xu Huang, Xiaoping Hong:
CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System. - Alastair Finlinson, Sotiris Moschoyiannis:
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks. - Jia Wang, Ping Wang, Biao Li, Yinghui Gao, Siyi Zhao:
A Learning-based Optimization Algorithm: Image Registration Optimizer Network. - Yilun Lin, Chaochao Chen, Cen Chen, Li Wang:
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. - Jie Wang, Jiahu Qin, Menglin Li, Yang Shi:
Optimal Power Control for DoS Attack over Fading Channel: A Game-Theoretic Approach. - Mette Muxoll Schou, Anders Sundnes Løvlie:
The Diary of Niels: Affective engagement through tangible interaction with museum artifacts. - Jacobo Ayensa-Jiménez, Mohamed Hamdy Doweidar, José Antonio Sanz-Herrera, Manuel Doblaré:
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems. - Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing Yin Yu, Yasar Abbas Ur Rehman:
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network. - Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu:
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. - Sergey B. Medvedev, Igor S. Chekhovskoy, Irina Vaseva, Mikhail P. Fedoruk:
Fast sixth-order algorithm based on the generalized Cayley transform for the Zakharov-Shabat system in optical applications. - Kelvin K. F. Li, Stephen A. Jarvis, Fayyaz A. Minhas:
Elementary Effects Analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of Social Distancing and Mask Usage. - Maksims Ivanovs, Roberts Kadikis, Martins Lulla, Aleksejs Rutkovskis, Atis Elsts:
Automated Quality Assessment of Hand Washing Using Deep Learning. - Guangxin He, Shenghuan Yang, Miaomiao Lei, Xing Wu, Yixin Sun, Yimeng Dang:
Influence of Murder Incident of Ride-hailing Drivers on Ride-hailing User's Consuming Willingness in Nanchang. - Karin Ryding, Jocelyn Spence, Anders Sundnes Løvlie, Steve Benford:
Interpersonalizing Intimate Museum Experiences. - Prakamya Mishra:
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning. - Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning without Forgetting for Continual Semantic Segmentation. - Nicole Aretz-Nellesen, Peng Chen, Martin A. Grepl, Karen Veroy:
A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems. - Hang Yuan, Claudia Vanea, Federica Lucivero, Nina Hallowell:
Training Ethically Responsible AI Researchers: a Case Study. - Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Domenico Marino, Francesco Orciuoli, Alberto Volpe:
Semantic CPPS in Industry 4.0. - Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz:
Imagination-enabled Robot Perception. - Anders Sundnes Løvlie, Lina Eklund, Annika Waern, Karin Ryding, Paulina Rajkowska:
Designing for Interpersonal Museum Experiences. - Feng Qi:
Language guided machine action. - Nima Safari, George Price, Chi Yung Chung:
Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting. - Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release. - Vassilios K. Kalpakides:
A finite element scheme for an initial value problem. - Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj:
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer. - Paolo Pagliuca, Stefano Nolfi:
The Dynamic of Body and Brain Co-Evolution. - Quoc Hung Ngo, M. Tahar Kechadi, Nhien-An Le-Khac:
OAK: Ontology-Based Knowledge Map Model for Digital Agriculture. - Lubomír Bulej, Tomás Bures, Adam Filandr, Petr Hnetynka, Iveta Hnetynková, Jan Pacovsky, Gabor Sandor, Ilias Gerostathopoulos:
Managing Latency in Edge-Cloud Environment. - Chunping Qiu, Lukas Liebel, Lloyd H. Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu:
Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification. - Gauthier Guinet, Valerio Perrone, Cédric Archambeau:
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization. - Octavio Arriaga, Matias Valdenegro-Toro:
Unsupervised Difficulty Estimation with Action Scores. - Yu-Pin Hsu:
Efficient Broadcast for Timely Updates in Mobile Networks. - Andrea Bisoffi, Dimos V. Dimarogonas:
A hybrid barrier certificate approach to satisfy linear temporal logic specifications. - Prakamya Mishra:
Sarcasm detection from user-generated noisy short text. - Jonathan Raiman:
Generative Adversarial Simulator. - Humam Alwassel, Silvio Giancola, Bernard Ghanem:
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks. - Vik Shirvaikar, Choudur Lakshminarayan:
Social Determinants of Recidivism: A Machine Learning Solution. - Mingyong Zhou:
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy. - Luke Nicholas Darlow, Stanislaw Jastrzebski, Amos J. Storkey:
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks. - Masoud Nosrati, Ying Cai:
Verifying the Correctness of Analytic Query Results. - Anshuman Singh, Wang Peng, Hung D. Nguyen:
A Two-Layer Framework with Battery Temperature Optimal Control and Network Optimal Power Flow. - Cheng Sun, Min Sun, Hwann-Tzong Chen:
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features. - Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. - Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann:
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. - Timothy Chu, Gary L. Miller, Shyam Narayanan, Mark Sellke:
Functions that Preserve Manhattan Distances. - Zheng Wang, Xin Yuan, Toshihiko Yamasaki, Yutian Lin, Xin Xu, Wenjun Zeng:
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric. - HyeongChan Jo, Juhyun Kim, Tzu-Chen Huang, Yu-Li Ni:
condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale. - Mihailo Stojnic:
Algorithmic random duality theory - large scale CLuP. - Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims:
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. - Yang Zhou, Shiliang Sun:
Manifold Partition Discriminant Analysis. - Neeraj Vashistha, Arkaitz Zubiaga:
An Online Multilingual Hate speech Recognition System. - Viktor Krapivensky:
Speeding up decimal multiplication. - Rosalyn P. Reyes, Evelyn C. Samson, Julius G. Garcia:
An Interactive Foreign Language Trainer Using Assessment and Feedback Modalities. - Lin Mu:
A Pressure-Robust Weak Galerkin Finite Element Method for Navier-Stokes Equations. - Mihailo Stojnic:
Rephased CLuP. - Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun:
Elastic Interaction of Particles for Robotic Tactile Simulation. - Gyeongsik Moon, Kyoung Mu Lee:
Pose2Pose: 3D Positional Pose-Guided 3D Rotational Pose Prediction for Expressive 3D Human Pose and Mesh Estimation. - Irina Nikishina, Alexander Panchenko, Varvara Logacheva, Natalia V. Loukachevitch:
Studying Taxonomy Enrichment on Diachronic WordNet Versions. - Kunal Banerjee, Vishak Prasad C., Rishi Raj Gupta, Karthik Vyas, Anushree H., Biswajit Mishra:
Exploring Alternatives to Softmax Function. - Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo:
Exploring Contrastive Learning in Human Activity Recognition for Healthcare. - Xuhong Wang, Ding Lyu, Mengjian Li, Yang Xia, Qi Yang, Xinwen Wang, Xinguang Wang, Ping Cui, Yupu Yang, Bowen Sun, Zhenyu Guo:
APAN: Asynchronous Propagate Attention Network for Real-time Temporal Graph Embedding. - Mihailo Stojnic:
Sparse linear regression - CLuP achieves the ideal \emph{exact} ML. - Boudewijn F. van Dongen, Johannes De Smedt, Claudio Di Ciccio, Jan Mendling:
Conformance Checking of Mixed-paradigm Process Models. - Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice:
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze. - Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
ML4H Abstract Track 2020. - Martin Kolarík, Radim Burget, Carlos Manuel Travieso-González, Jan Kocica:
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. - Martin Kolarík, Radim Burget, Kamil Ríha:
Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks. - Jiafan He, Dongruo Zhou, Quanquan Gu:
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation. - Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua:
A Closed-Form Solution to Local Non-Rigid Structure-from-Motion. - Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula:
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. - J. Paul Brooks, D. J. Edwards, Craig E. Larson, Nicolas Van Cleemput:
Conjecturing-Based Computational Discovery of Patterns in Data. - Megan Johnson, Jae-Hun Jung:
The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology. - Angel Villar-Corrales, Veniamin I. Morgenshtern:
Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement. - Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Evgeny Kharitonov, Alexei Baevski, Ewan Dunbar, Emmanuel Dupoux:
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling. - Lee Braine, Keith Haviland, Owen Smith-Jaynes, Andy Vautier, Christopher D. Clack:
Simulating an Object-Oriented Financial System in a Functional Language. - Richard Weinhold, Robert Mieth:
Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets. - Mauro Salazar, Dario Paccagnan, Andrea Agazzi, W. P. M. H. Heemels:
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies. - Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier:
Envy-Free Allocations Respecting Social Networks. - Sagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel:
Abiotic Stress Prediction from RGB-T Images of Banana Plantlets. - Vítor Fortes Rey, Kamalveer Kaur Garewal, Paul Lukowicz:
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos. - Anthony D. Rhodes, Manan Goel:
High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections. - Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. - Joseph A. Vincent, Mac Schwager:
Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components. - Rutwik Palaskar, Renu Vyas, Vilas Khedekar, Sangeeta Palaskar, Pranjal Sahu:
Transfer Learning for Oral Cancer Detection using Microscopic Images. - Maria Kalantzi, Agoritsa Polyzou, George Karypis:
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. - Marta Vanin, Tom Van Acker, Reinhilde D'hulst, Dirk Van Hertem:
A framework for constrained static state estimation in unbalanced distribution networks. - Eklavya Sharma:
Analysis of the Harmonic Function Used in Bin-Packing. - Dustin G. Mixon, Hans Parshall, Jianzong Pi:
Neural collapse with unconstrained features. - Joachim de Curtò, R. Duvall:
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4. - Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman:
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation. - Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar:
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. - Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. - Sebastian Friedemann, Bruno Raffin:
An elastic framework for ensemble-based large-scale data assimilation. - Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew B. Duncan, Geoffrey T. Parks:
Blade Envelopes Part I: Concept and Methodology. - Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson:
Nudge Attacks on Point-Cloud DNNs. - Florian Tramèr, Dan Boneh:
Differentially Private Learning Needs Better Features (or Much More Data). - Steven Chaplick, Petr A. Golovach, Tim A. Hartmann, Dusan Knop:
Recognizing Proper Tree-Graphs. - Ovidiu Daescu, Ka Yaw Teo:
Characterization and Computation of Feasible Trajectories for an Articulated Probe with a Variable-Length End Segment. - Natesh Reddy, Pranaydeep Singh, Muktabh Mayank Srivastava:
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models. - Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu, Suya You, C.-C. Jay Kuo:
Low-Resolution Face Recognition In Resource-Constrained Environments. - Liang-Chieh Chen, Huiyu Wang, Siyuan Qiao:
Scaling Wide Residual Networks for Panoptic Segmentation. - Matej Petkovic, Dragi Kocev, Blaz Skrlj, Saso Dzeroski:
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning. - Zhaoyue Chen, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models overNormalized Data. - Ovidiu Daescu, Ka Yaw Teo:
Computing Feasible Trajectories for an Articulated Probe in Three Dimensions. - Zijian An, Kenneth Joseph:
An analysis of replies to Trump's tweets. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels. - Rika Antonova, Anastasiia Varava, Peiyang Shi, J. Frederico Carvalho, Danica Kragic:
Sequential Topological Representations for Predictive Models of Deformable Objects. - Lakmal Meegahapola, Salvador Ruiz-Correa, Daniel Gatica-Perez:
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing. - Anant V. Nori, Rahul Bera, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney:
Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute. - Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski, Vishal Satish, Michael Danielczuk, Kate Sanders, Andrew Lee, Anelia Angelova, Vincent Vanhoucke, Ken Goldberg:
Mechanical Search on Shelves using Lateral Access X-RAY. - Xiumin Shang, Ahmed Sabbir Arif, Marcelo Kallmann:
Evaluating Feedback Strategies for Virtual Human Trainers. - Alexandra Puchko, Robert Link, Brian Hutchinson, Ben Kravitz, Abigail Snyder:
DeepClimGAN: A High-Resolution Climate Data Generator. - Hossein Jowhari:
An Estimator for Matching Size in Low Arboricity Graphs with Two Applications. - Chavit Denninnart:
Cost- and QoS-Efficient Serverless Cloud Computing. - Jernej Vivod:
Using Machine Learning and Natural Language Processing Techniques to Analyze and Support Moderation of Student Book Discussions. - Fuchang Gao, Boyu Zhang:
A Use of Even Activation Functions in Neural Networks. - Chao-Han Huck Yang, Linda Liu, Ankur Gandhe, Yile Gu, Anirudh Raju, Denis Filimonov, Ivan Bulyko:
Multi-task Language Modeling for Improving Speech Recognition of Rare Words. - Pingakshya Goswami, Dinesh Bhatia:
Automated Floorplanning for Partially Reconfigurable Designs on Heterogenrous FPGAs. - Maximilian Filtenborg, Efstratios Gavves, Deepak Gupta:
Siamese Tracking with Lingual Object Constraints. - Deepali Jain, Atil Iscen, Ken Caluwaerts:
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion. - Seong Hun Lee, Javier Civera:
Rotation-Only Bundle Adjustment. - Jinho Choi:
Data-aided Sensing for Gaussian Process Regression in IoT Systems. - Carlos Mauricio Villegas Burgos, Tianqi Yang, Nick Vamivakas, Yuhao Zhu:
End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics. - Tong Ke, Kejian Wu, Stergios I. Roumeliotis:
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM. - Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. - Felix Richards, Adeline Paiement, Xianghua Xie, Pierre-Alain Duc:
Learnable Gabor modulated complex-valued networks for orientation robustness. - Varnith Chordia, Vijay Kumar B. G:
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention. - Charilaos Mylonas, Eleni N. Chatzi:
Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets. - Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu:
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing. - Anshuman Misra, Ajay D. Kshemkalyani:
The Bloom Clock for Causality Testing. - Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen, Xianbin Wang:
Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots. - David A. Kopriva, Gregor J. Gassner, Jan Nordström:
Stability of Discontinuous Galerkin Spectral Element Schemes for Wave Propagation when the Coefficient Matrices have Jumps. - Thomas Groß:
Validity and Reliability of the Scale Internet Users' Information Privacy Concern (IUIPC) [Extended Version]. - Jean-François Tremblay, Travis Manderson, Aurélio Noca, Gregory Dudek, David Meger:
Multimodal dynamics modeling for off-road autonomous vehicles. - Krishna Chitti, Joao Vieira, Behrooz Makki:
Deep-Learning based Multiuser Detection for NOMA. - Valerio Biscione, Jeffrey S. Bowers:
Learning Translation Invariance in CNNs. - Seungyun Jeong, Keemin Sohn:
Multi-regime analysis for computer vision-based traffic surveillance using a change-point detection algorithm. - Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut:
Multimodal Pretraining for Dense Video Captioning. - Florent Pled, Christophe Desceliers, Tianyu Zhang:
A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network. - Emanuel H. Rubensson, Elias Rudberg, Anastasia Kruchinina, Anton G. Artemov:
The Chunks and Tasks Matrix Library 2.0. - Truc Lam Bui, Krishnendu Chatterjee, Tushar Gautam, Andreas Pavlogiannis, Viktor Toman:
The Reads-From Equivalence for the TSO and PSO Memory Models. - G. S. Romo-Cárdenas, María Cosío León, Gener José Avilés Rodríguez, N. Isiodoro-Carballo, E. Zuñiga-Violante, J. D. Sánchez-López, Juan I. Nieto-Hipólito:
Development and evaluation of the use of a virtual health filter survey in a private primary education system in Baja California Mexico during the SARS-CoV-2 contingency (COVID-19). - Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi:
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. - Chao Peng, Ajitha Rajan:
CAT: Change-focused Android GUI Testing. - Leo Alcock, Sualeh Asif, Jeffrey Bosboom, Josh Brunner, Charlotte Chen, Erik D. Demaine, Rogers Epstein, Adam Hesterberg, Lior Hirschfeld, William Hu, Jayson Lynch, Sarah Scheffler, Lillian Zhang:
Arithmetic Expression Construction. - Bryce Sandlund, Lingyi Zhang:
Selectable Heaps and Optimal Lazy Search Trees. - Felipe Godoy:
Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture. - Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. - Chengyue Gong, Dilin Wang, Qiang Liu:
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence. - Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih:
Robust image stitching with multiple registrations. - Carlos H. C. Pena, Mateus G. Machado, Mariana S. Barros, José D. P. Silva, Lucas D. Maciel, Tsang Ing Ren, Edna Natividade da Silva Barros, Pedro H. M. Braga, Hansenclever F. Bassani:
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer. - David Biertimpel, Sindi Shkodrani, Anil S. Baslamisli, Nóra Baka:
Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation. - Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih:
Object-centered image stitching. - Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. - Edward Kim, Connor Onweller, Andrew O'Brien, Kathleen F. McCoy:
The Interpretable Dictionary in Sparse Coding. - Yushi Hu, Shane Settle, Karen Livescu:
Acoustic span embeddings for multilingual query-by-example search. - Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers:
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera. - Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin:
When Machine Learning Meets Privacy: A Survey and Outlook. - Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng:
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. - Yunzhe Tao, Sahika Genc, Tao Sun, Sunil Mallya:
REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning. - Guosheng Fu:
Uniform auxiliary space preconditioning for HDG methods for elliptic operators with a parameter dependent low order term. - Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan:
RTFN: A Robust Temporal Feature Network for Time Series Classification. - Basile Van Hoorick, Carl Vondrick:
Dissecting Image Crops. - Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo:
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare. - Ke Sun, Brent Schlotfeldt, George J. Pappas, Vijay Kumar:
Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements. - Omobayode Fagbohungbe, Lijun Qian:
Benchmarking Inference Performance of Deep Learning Models on Analog Devices. - Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah, Joel A. Paulson:
A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization. - Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang:
Unsupervised Discovery of Disentangled Manifolds in GANs. - Naoya Takahashi, Yuki Mitsufuji:
Densely connected multidilated convolutional networks for dense prediction tasks. - Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial:
AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation. - Soham Gadgil, Yunfeng Xin, Chengzhe Xu:
Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning. - Woohwan Jung, Kyuseok Shim:
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation. - Sihyeon Jo, Donghwi Jung, Keonwoo Kim, Eun Gyo Joung, Giulia Nespoli, Seungryong Yoo, Minseob So, Seung-Woo Seo, Seong-Woo Kim:
A Robotic Dating Coaching System Leveraging Online Communities Posts. - Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed:
Augmented Lagrangian Adversarial Attacks. - Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling:
GMOT-40: A Benchmark for Generic Multiple Object Tracking. - Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic Label Propagation for Graph Semi-supervised Learning. - Tie Zhang, Shangyou Zhang:
The Weak Galerkin Finite Element Method for the Transport-Reaction Equation. - Chuhua Xian, Kun Qian, Zitian Zhang, Charlie C. L. Wang:
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution. - Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné:
Persistent Mixture Model Networks for Few-Shot Image Classification. - Shiyuan Qiang, Yan Li, Minghui Yang, Keqin Feng:
The 4-Adic Complexity of A Class of Quaternary Cyclotomic Sequences with Period 2p. - Nway Nway Ei, Madyan Alsenwi, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks. - Baihe Huang, Zhao Song, Runzhou Tao, Ruizhe Zhang, Danyang Zhuo:
InstaHide's Sample Complexity When Mixing Two Private Images. - Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. - Hantao Cui, Fangxing Li, Xin Fang:
Effective Parallelism for Equation and Jacobian Evaluation in Power Flow Calculation. - Tao Li, Quan Qiu, Chunjiang Zhao:
A fully distributed event-triggered communication strategy for second-order multi-agent systems consensus. - Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel:
Cross-Camera Convolutional Color Constancy. - Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li:
Learning Principle of Least Action with Reinforcement Learning. - Ziyuan Gu, Meead Saberi:
Simulation-based Optimization of Toll Pricing in Large-Scale Urban Networks using the Network Fundamental Diagram: A Cross-Comparison of Methods. - Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu:
Temporal Action Detection with Multi-level Supervision. - Zhenghang Xu, Zhijian He, Xiaoqun Wang:
Efficient risk estimation via nested multilevel quasi-Monte Carlo simulation. - Jeong-gi Kwak, David K. Han, Hanseok Ko:
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature. - Xiangyu Niu, Yifan Sun, Jinyuan Sun:
Latent Group Structured Multi-task Learning. - Ruchi Guo, Yanping Lin, Jun Zou:
Solving Two Dimensional H(curl)-elliptic Interface Systems with Optimal Convergence On Unfitted Meshes. - Huan Hu, Jianzhong Li:
Efficient Approximate Nearest Neighbor Search for Multiple Weighted lp≤2 Distance Functions. - Alexander Spitzer, Nathan Michael:
Rotational Error Metrics for Quadrotor Control. - Noriaki Hirose, Shun Taguchi, Keisuke Kawano, Satoshi Koide:
Variational Monocular Depth Estimation for Reliability Prediction. - Ahmadreza Ahmadi, Tønnes F. Nygaard, Navinda Kottege, David Howard, Nicolas Hudson:
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification. - Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, Z. Morley Mao:
On the Adversarial Robustness of 3D Point Cloud Classification. - Li-Wei Shih, Cheng-Wei Chen:
A Model-Free Loop-Shaping Method based on Iterative Learning Control. - Jiajun He, Young Jin Chun:
A Statistical Characterization of Localization Performance in Millimeter-Wave Cellular Networks. - Tadashi Wadayama, Satoshi Takabe:
Acceleration of Cooperative Least Mean Square via Chebyshev Periodical Successive Over-Relaxation. - Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. - Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng:
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road. - Junyou He, Guibao Mei, Feng Xing, Xiaorui Yang, Yongjun Bao, Weipeng Yan:
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network. - Zhiqi Wang, Yue Chen, Wolfgang Glänzel:
Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics. - Adrian Santos, Sira Vegas, Oscar Dieste, Fernando Uyaguari Uyaguari, Ayse Tosun, Davide Fucci, Burak Turhan, Giuseppe Scanniello, Simone Romano, Itir Karac, Marco Kuhrmann, Vladimir Mandic, Robert Ramac, Dietmar Pfahl, Christian Engblom, Jarno Kyykka, Kerli Rungi, Carolina Palomeque, Jaroslav Spisak, Markku Oivo, Natalia Juristo:
A Family of Experiments on Test-Driven Development. - Yaru Li, Yulai Zhang:
Hyper parameter estimation method with particle swarm optimization. - Noé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler:
Benchmarking Image Retrieval for Visual Localization. - Nikitha Rao, Chetan Bansal, Joe Guan:
Code Search Intent Classification Using Weak Supervision. - Peng Zhou, Rui Peng, Maggie Xu, Victor Wu, David Navarro-Alarcon:
Path Planning with Automatic Seam Extraction over Point Cloud Models for Robotic Arc Welding. - Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao:
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations. - Kailai Xu, Eric Darve:
ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. - Yingpeng Deng, Lina J. Karam:
Towards Imperceptible Universal Attacks on Texture Recognition. - Chih-Hong Cheng:
Provably-Robust Runtime Monitoring of Neuron Activation Patterns. - Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W. H. Lau:
Is a Green Screen Really Necessary for Real-Time Portrait Matting? - Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu:
LiDAR-based Panoptic Segmentation via Dynamic Shifting Network. - Manish Agrawal, Abhilash Nandy:
A Novel Multimodal Music Genre Classifier using Hierarchical Attention and Convolutional Neural Network. - Daniel Beßler, Robert Porzel, Mihai Pomarlan, Abhijit Vyas, Sebastian Höffner, Michael Beetz, Rainer Malaka, John A. Bateman:
Foundations of the Socio-physical Model of Activities (SOMA) for Autonomous Robotic Agents. - Yang You, Wenhai Liu, Yong-Lu Li, Weiming Wang, Cewu Lu:
UKPGAN: Unsupervised KeyPoint GANeration. - Alexis Poulhès, Paul Mirial:
Modeling skier behavior for planning and management. Dynaski, an agent-based in congested ski-areas. - Hao Xu, Dongxiao Zhang, Nanzhe Wang:
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. - Xiang Yu, Fuping Chu, Junqi Wu, Bo Huang:
WeiPS: a symmetric fusion model framework for large-scale online learning. - Mingrui Liu, Wei Zhang, Francesco Orabona, Tianbao Yang:
Adam+: A Stochastic Method with Adaptive Variance Reduction. - Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-graph Generation for Global SfM. - Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon:
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. - Silas C. Lobo, Stefan Neumeier, Evelio M. García Fernández, Christian Facchi:
InTAS - The Ingolstadt Traffic Scenario for SUMO. - Yang You, Zelin Ye, Yujing Lou, Chengkun Li, Yong-Lu Li, Lizhuang Ma, Weiming Wang, Cewu Lu:
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes. - Rasha Friji, Hassen Drira, Faten Chaieb, Sebastian Kurtek, Hamza Kchok:
KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition. - Cheng Wang, Carolin Lawrence, Mathias Niepert:
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. - Shashi Kant Gupta:
A More Biologically Plausible Local Learning Rule for ANNs. - Herbert Jaeger:
Exploring the landscapes of "computing": digital, neuromorphic, unconventional - and beyond. - Maximilian Spliethöver, Henning Wachsmuth:
Argument from Old Man's View: Assessing Social Bias in Argumentation. - Junzhe Zhu, Raymond A. Yeh, Mark Hasegawa-Johnson:
Multi-Decoder DPRNN: High Accuracy Source Counting and Separation. - (Withdrawn) RIN: Textured Human Model Recovery and Imitation with a Single Image.
- Thomas Verelst, Tinne Tuytelaars:
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation. - Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny:
Adversarial Generation of Continuous Images. - Hanaa Alshareef, Sandro Stucki, Gerardo Schneider:
Transforming Data Flow Diagrams for Privacy Compliance (Long Version). - Zitong Yu, Xiaobai Li, Jingang Shi, Zhaoqiang Xia, Guoying Zhao:
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing. - Gabriele Restuccia, Hannes Tschofenig, Emmanuel Baccelli:
Low-Power IoT Communication Security: On the Performance of DTLS and TLS 1.3. - Andrew M. Mironov:
New method of verifying cryptographic protocols based on the process model. - Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp:
Efficient Sampling for Predictor-Based Neural Architecture Search. - Yuhan Wang, Zijian Lei, Liang Lan:
Effective and Sparse Count-Sketch via k-means clustering. - Koen Zandberg, Emmanuel Baccelli:
Minimal Virtual Machines on IoT Microcontrollers: The Case of Berkeley Packet Filters with rBPF. - Hongwei Liu, Jingge Liu:
Non-Invertible-Element Constacyclic Codes over Finite PIRs. - Projjal Gupta:
A decentralized approach towards secure firmware updates and testing over commercial IoT Devices. - Fan Wang:
Infrared small target detection based on isotropic constraint under complex background. - Michael A. Lepori, R. Thomas McCoy:
Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. - Carlos Arango Duque, Adrien Bartoli:
An Optimal Triangle Projector with Prescribed Area and Orientation, Application to Position-Based Dynamics. - Alejandro Sobrino, Eduardo C. Garrido-Merchán, Cristina Puente:
Fuzzy Stochastic Timed Petri Nets for Causal properties representation. - Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. - Hongyuan Wang, Xiang Liu, Wen Kang, Zhiqiang Yan, Bingwen Wang, Qianhao Ning:
Multi-Features Guidance Network for partial-to-partial point cloud registration. - Shiyuan Qiang, Xiaoyan Jing, Minghui Yang:
The 2-Adic Complexity of Two Classes of Binary Sequences with Interleaved Structure. - Suk Joon Hong, Brandon Bennett:
Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning. - Jing Chen, Chenhui Wang, Kejun Wang, Meichen Liu:
Computational efficient deep neural network with difference attention maps for facial action unit detection. - Michael A. Lepori:
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis. - Hayk Asatryan, Hanno Gottschalk, Marieke Lippert, Matthias Rottmann:
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning. - Alex Glushkovsky:
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders. - Xirong Li, Fangming Zhou, Chaoxi Xu, Jiaqi Ji, Gang Yang:
SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries. - Venkat Sri Sai Ram, Ashish Panwar, Arkaprava Basu:
Leveraging Architectural Support of Three Page Sizes with Trident. - Muhammad Atif Ur Rehman, Rehmat Ullah, Byung-Seo Kim, Boubakr Nour, Spyridon Mastorakis:
CCIC-WSN: An Architecture for Single Channel Cluster-based Information-Centric Wireless Sensor Networks. - Diego Kozlowski, Gabriela Lozano, Carla M. Felcher, Fernando Gonzalez, Edgar Altszyler:
Gender bias in magazines oriented to men and women: a computational approach. - Shuyang Sun, Liang Chen, Gregory G. Slabaugh, Philip H. S. Torr:
Learning to Sample the Most Useful Training Patches from Images. - Thomas Führer, Norbert Heuer:
A robust DPG method for large domains. - Michael Niemeyer, Andreas Geiger:
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields. - Francesco Ballarin, Gianluigi Rozza, Maria Strazzullo:
Reduced order methods for parametric flow control problems and applications. - Qing Gao, Mingtao Pei, Hongyu Shen:
Do You Live a Healthy Life? Analyzing Lifestyle by Visual Life Logging. - Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao:
Recurrent Multi-view Alignment Network for Unsupervised Surface Registration. - Minjian Xin, Guangming Wang, Zhe Liu, Hesheng Wang:
Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers. - Jinlong Fan, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
Wide-angle Image Rectification: A Survey. - Shuhua Gao, Cheng Xiang, Yu Ming, Tan Kuan Tak, Tong Heng Lee:
Rethinking solar photovoltaic parameter estimation: global optimality analysis and a simple efficient differential evolution method. - Nina Lukashina, Alisa Alenicheva, Elizaveta Vlasova, Artem Kondiukov, Aigul Khakimova, Emil Magerramov, Nikita Churikov, Aleksei Shpilman:
Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation. - Sara Johansson Fernstad, Jimmy Johansson:
To Explore What Isn't There - Glyph-based Visualization for Analysis of Missing Values. - Soorena Salari, Nasser Sadati:
A Generalizable Model for Fault Detection in Offshore Wind Turbines Based on DeepLearning. - Yuhang Jiang, Lukun Zheng:
Deep learning for video game genre classification. - Shutang You:
Locate the Source of Resonance-Involved Forced Oscillation in Power Systems Based on Mode Shape Analysis. - Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. - Panagiotis Lionakis, Giorgos Kritikakis, Ioannis G. Tollis:
Algorithms and Experiments Comparing Two Hierarchical Drawing Frameworks. - Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi:
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information. - Ferdinand Grimm, John Wood, Mehdi Baghdadi:
A DC-Autotransformer based Multilevel Inverter for Automotive Applications. - Parnia Bahar, Christopher Brix, Hermann Ney:
Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid. - Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney:
Tight Integrated End-to-End Training for Cascaded Speech Translation. - Sandip Banerjee, Rafail Ostrovsky, Yuval Rabani:
Min-Sum Clustering (with Outliers). - Vladislav Mikhailov, Tatiana Shavrina:
Domain-Transferable Method for Named Entity Recognition Task. - Sijie Zhu, Taojiannan Yang, Chen Chen:
VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval. - David Beauchemin, Nicolas Garneau, Eve Gaumond, Pierre-Luc Déziel, Richard Khoury, Luc Lamontagne:
Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations. - Yekun Chai, Haidong Zhang, Shuo Jin:
Neural Text Classification by Jointly Learning to Cluster and Align. - Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang:
xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs. - Ferdinand Grimm, Zhenbin Zhang, Mehdi Baghdadi:
A Sphere Decoding Algorithm for Multistep Sequential Model Predictive Control. - Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong:
Towards the sampling Lovász Local Lemma. - Christian Meyer, Monika Weymuth:
A Priori Error Analysis for an Optimal Control Problem Governed by a Variational Inequality of the Second Kind. - Aneesh Pappu, Brooks Paige:
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning. - Pratik K. Mishra, Chandan Gautam, Aruna Tiwari:
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification. - Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch:
Energy-Based Models for Continual Learning. - Haoteng Yin, Yanbang Wang, Pan Li:
Revisit graph neural networks and distance encoding in a practical view. - Liangdong Lu, Wenping Ma, Ruihu Li, Hao Cao:
Two families of Entanglement-assisted Quantum MDS Codes from cyclic Codes. - Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks:
Generative Adversarial Stacked Autoencoders. - Vitor Bosshard, Sven Seuken:
The Cost of Simple Bidding in Combinatorial Auctions. - Huan Qing, Jingli Wang:
Estimating network memberships by mixed regularized spectral clustering. - Brijesh Chander Pandey, Saif Khan Mohammed, Patchava Raviteja, Yi Hong, Emanuele Viterbo:
Low Complexity Precoding and Detection in Multi-user Massive MIMO OTFS Downlink. - Lucas A. Tavares, Petrus E. O. G. B. Abreu, Luis Antonio Aguirre:
Nonlinearity Compensation Based on Identified NARX Polynomials Models. - Joanna Henzel, Joanna Tobiasz, Michal Kozielski, Malgorzata Bach, Pawel Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora:
Classification supporting COVID-19 diagnostics based on patient survey data. - Nitin Pundir, Mark M. Tehranipoor, Fahim Rahman:
RanStop: A Hardware-assisted Runtime Crypto-Ransomware Detection Technique. - Michael Bugert, Nils Reimers, Iryna Gurevych:
Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems. - Joanne Truong, Denis Yarats, Tianyu Li, Franziska Meier, Sonia Chernova, Dhruv Batra, Akshara Rai:
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings. - Ali Babolhavaeji, Mohammad Fanaei:
Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation. - Jiehua Chen, Sanjukta Roy, Manuel Sorge:
Fractional Matchings under Preferences: Stability and Optimality. - Imene Trigui, Wessam Ajib, Wei-Ping Zhu, Marco Di Renzo:
Performance Evaluation and Diversity Analysis of RIS-Assisted Communications Over Generalized Fading Channels in the Presence of Phase Noise. - Sachin Grover, David E. Smith, Subbarao Kambhampati:
Model Elicitation through Direct Questioning. - Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni:
Is First Person Vision Challenging for Object Tracking? The TREK-100 Benchmark Dataset. - Yingxue Fu, Elaine Uí Dhonnchadha:
A Pattern-mining Driven Study on Differences of Newspapers in Expressing Temporal Information. - Hirak Doshi, N. Uday Kiran:
Constraint Based Refinement of Optical Flow. - Mahdad Eghbalian, Mehdi Pouragha, Richard Wan:
Multiscale Modeling of Elasto-Plasticity in Heterogeneous Geomaterials Based on Continuum Micromechanics. - Hubert Lin, Mitchell van Zuijlen, Maarten W. A. Wijntjes, Sylvia C. Pont, Kavita Bala:
Insights From A Large-Scale Database of Material Depictions In Paintings. - Srinivasan Sridharan:
Machine Learning (ML) In a 5G Standalone (SA) Self Organizing Network (SON). - Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos:
MicroNet: Towards Image Recognition with Extremely Low FLOPs. - Nate Rosenblatt:
Localism as Secrecy: Efficiency-Secrecy Tradeoffs in the Recruitment of ISIS Foreign Fighters. - Noel Loo, Siddharth Swaroop, Richard E. Turner:
Generalized Variational Continual Learning. - Dana Naous, Manus Bonner, Mathias Humbert, Christine Legner:
Towards Mass Adoption of Contact Tracing Apps - Learning from Users' Preferences to Improve App Design. - Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue:
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach. - Carlo Michaelis:
PeleNet: A Reservoir Computing Framework for Loihi. - Larry Heck, Simon Heck:
Zero-Shot Visual Slot Filling as Question Answering. - Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. - Batuhan Bardak, Mehmet Tan:
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning. - Kenny Young:
Hindsight Network Credit Assignment. - Ming Dong:
Generate Asset Condition Data for Power System Reliability Studies. - Tristan Ballard, Gopal Erinjippurath:
FireSRnet: Geoscience-Driven Super-Resolution of Future Fire Risk from Climate Change. - Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin:
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. - Eyal Perry:
Lethean Attack: An Online Data Poisoning Technique. - Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta, Corina Barbalata:
A reinforcement learning control approach for underwater manipulation under position and torque constraints. - Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg:
C-Learning: Horizon-Aware Cumulative Accessibility Estimation. - Wenyun Ju, Horacio Silva-Saravia, Neeraj Nayak, Wenxuan Yao, Yichen Zhang, Qingxin Shi, Fan Ye:
Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity. - Daniel Felisberto Traciná Filho, Cláudia Marcela Justel:
Fiedler vector analysis for particular cases of connected graphs. - Will Price, Dima Damen:
Play Fair: Frame Attributions in Video Models. - Chunmei Wang:
Low Regularity Primal-Dual Weak Galerkin Finite Element Methods for Ill-Posed Elliptic Cauchy Problems. - Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani:
A Non-linear Function-on-Function Model for Regression with Time Series Data. - Claudia Shi, Victor Veitch, David M. Blei:
Invariant Representation Learning for Treatment Effect Estimation. - Walid Hafiane, Joël Legrand, Yannick Toussaint, Adrien Coulet:
Experiments on transfer learning architectures for biomedical relation extraction. - Sijie Zhu, Taojiannan Yang, Matías Mendieta, Chen Chen:
A3D: Adaptive 3D Networks for Video Action Recognition. - Wenqiang Yi, Wenjuan Yu, Yuanwei Liu, Chuan Heng Foh, Zhiguo Ding, Arumugam Nallanathan:
Multiple Transmit Power Levels based NOMA for Massive Machine-type Communications. - Régis Houssou, Stephan Robert-Nicoud:
Anomaly Detection Model for Imbalanced Datasets. - Anjian Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Mo Chen:
Prediction-Based Reachability for Collision Avoidance in Autonomous Driving. - Sahand Hajifar, Hongyue Sun:
Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data. - Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez:
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks. - Joanne Truong, Sonia Chernova, Dhruv Batra:
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents. - Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. - Yang Li:
Interpretable Models in ANNs. - Luiz A. Zanlorensi, Rayson Laroca, Diego Rafael Lucio, Lucas R. Santos, Alceu S. Britto Jr., David Menotti:
UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios. - Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla:
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition. - Yoji Yamato:
Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment. - Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja:
Enhancing deep neural networks with morphological information. - Jabari Hastings, Amy Kanne, Ray Li, Mary Wootters:
Wedge-Lifted Codes. - Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi:
Continuous Surface Embeddings. - Spyros Angelopoulos, Shahin Kamali:
Contract Scheduling With Predictions. - Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Morphable Models from a Single Scan. - Kyle Tilbury, Jesse Hoey:
The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning. - Jing Yang, Chun Ouyang, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Yang Yu:
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs. - Ziyi Gong, Paul Munro:
Modeling the Evolution of Retina Neural Network. - Evan S. Gawlik:
Iterations for the Unitary Sign Decomposition and the Unitary Eigendecomposition. - Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. - Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Causal Representation Transfer. - Ronghuai Qi, Amir Khajepour, William W. Melek:
Redundancy Resolution and Disturbance Rejection via Torque Optimization in Hybrid Cable-Driven Robots. - Michael Muratov, Abdulwasay Mehar, Wan Song Lee, Michael Szpakowicz, Ose Edmond Umolu, Joshua Mazariegos Bobadilla, Ali Kuwajerwala:
Experiments in Autonomous Driving Through Imitation Learning. - Wei Wang, Chao Zhang, Xiaopei Wu:
SAR-Net: A End-to-End Deep Speech Accent Recognition Network. - Sunipa Dev:
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability. - Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests Towards Completion. - Minh N. H. Nguyen, Nguyen Hoang Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks. - Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. - Chenghao Feng, Wenqian Shen, Xinyu Gao, Jianping An, Lajos Hanzo:
Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems. - Ana C. M. Brito, Filipi Nascimento Silva, Diego R. Amancio:
Associations between author-level metrics in subsequent time periods. - Beatriz A. Asfora, Jacopo Banfi, Mark Campbell:
Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search. - Luca D'Alessio, Mehrtash Babadi:
CellSegmenter: unsupervised representation learning and instance segmentation of modular images. - Heng Fan, Haibin Ling:
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking. - Woohyeon Shim, Minsu Cho:
CircleGAN: Generative Adversarial Learning across Spherical Circles. - Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi:
DeRF: Decomposed Radiance Fields. - Lunjun Zhang, Ge Yang, Bradly C. Stadie:
World Model as a Graph: Learning Latent Landmarks for Planning. - Qinyan Huang, Weiwen Zhou, Minjie Wan, Xin Chen, Qian Chen, Guohua Gu:
Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity. - Rongchang Xie, Chunyu Wang, Wenjun Zeng, Yizhou Wang:
Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation. - Bin Sheng:
Solving the r-pseudoforest Deletion Problem in Time Independent of r. - Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu:
Privacy-preserving Collaborative Learning with Automatic Transformation Search. - Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. - Ye Yuan, Xueying Ding, Ziv Bar-Joseph:
Causal inference using deep neural networks. - Kentaro Iio, Xiaoyu Guo, Xiaoqiang "Jack" Kong, Kelly Rees, Xiubin Bruce Wang:
COVID-19 and Social Distancing: Disparities in Mobility Adaptation by Income. - Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. - Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh:
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph. - Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Match Them Up: Visually Explainable Few-shot Image Classification. - Naofumi Akimoto, Akio Hayakawa, Andrew Shin, Takuya Narihira:
Reference-Based Video Colorization with Spatiotemporal Correspondence. - Mitsuhiko Horie, Hiroyuki Kasai:
Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering. - Achintya Kumar Sarkar, Zheng-Hua Tan:
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding. - Tengteng Wen, Zhuofeng Mo, Jingshan Li, Qi Liu, Liming Wu, Dehan Luo:
A Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction. - Yingying Li, Na Li:
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. - Takumi Fukunaga, Hiroyuki Kasai:
Wasserstein k-means with sparse simplex projection. - Muna Al-Hawawreh, Elena Sitnikova:
Developing a Security Testbed for Industrial Internet of Things. - Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu:
Implicit bias of deep linear networks in the large learning rate phase. - Rüstem Özakar, Rafet Efe Gazanfer, Y. Sinan Hanay:
Measuring Happiness Around the World Through Artificial Intelligence. - Xizhe Xue, Ying Li, Qiang Shen:
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map. - Xuming An, Rongfei Fan, Han Hu, Ning Zhang:
Energy-Efficient Task Offloading and Resource Allocation in Mobile Edge Computing with Sequential Task Dependency. - Ti-Chung Lee, Ying Tan, Iven Mareels:
Signal Sets on Time Scales with Application to Hybrid Systems. - Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng:
Delving Deep into Label Smoothing. - Shan Lin, Chang-Tsun Li, Alex C. Kot:
Multi-Domain Adversarial Feature Generalization for Person Re-Identification. - Po-Lin Lai, Chih-Yun Chen, Liang-Wei Lo, Chien Chin Chen:
ColdGAN: Resolving Cold Start User Recommendation by using Generative Adversarial Networks. - Dawei Sun, Susmit Jha, Chuchu Fan:
Learning Certified Control using Contraction Metric. - Rémi Abgrall:
A combination of Residual Distribution and the Active Flux formulations or a new class of schemes that can combine several writings of the same hyperbolic problem: application to the 1D Euler equations. - Fredrik Johansson:
On a fast and nearly division-free algorithm for the characteristic polynomial. - Jaskirat Singh, Liang Zheng:
Enhanced Scene Specificity with Sparse Dynamic Value Estimation. - Yunfei Teng, Anna Choromanska, Murray Campbell:
Continual learning with direction-constrained optimization. - Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. - Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu:
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating. - Jaskirat Singh, Liang Zheng:
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings. - Muhammad Huzaifah, Lonce Wyse:
MTCRNN: A multi-scale RNN for directed audio texture synthesis. - Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud, ZhaoYang Dong:
Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques. - Valentina Anita Carriero, Marilena Daquino, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Francesca Tomasi:
The Landscape of Ontology Reuse Approaches. - Michael Hanke, Roswitha März:
Towards a reliable implementation of least-squares collocation for higher-index differential-algebraic equations. - Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. - John Chen, Samarth Sinha, Anastasios Kyrillidis:
ImCLR: Implicit Contrastive Learning for Image Classification. - Jack Humphreys, Zhe Chen, Dacheng Tao:
Recent Progress in Appearance-based Action Recognition. - Soliman Aljarboa, Shah Jahan Miah:
An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country. - Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning:
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning. - Daniel Torres-Salinas, Wenceslao Arroyo-Machado, Mike Thelwall:
Exploring WorldCat Identities as an altmetric information source: A library catalog analysis experiment in the field of Scientometrics. - Kareem Darwish, Nizar Habash, Mourad Abbas, Hend S. Al-Khalifa, Hussein T. Al-Natsheh, Samhaa R. El-Beltagy, Houda Bouamor, Karim Bouzoubaa, Violetta Cavalli-Sforza, Wassim El-Hajj, Mustafa Jarrar, Hamdy Mubarak:
A Panoramic Survey of Natural Language Processing in the Arab World. - Stav Ben-Nun, Tsvi Kopelowitz, Matan Kraus, Ely Porat:
An O(log3/2n) Parallel Time Population Protocol for Majority with O(log n) States. - Massimo Cairo, Shahbaz Khan, Romeo Rizzi, Sebastian S. Schmidt, Alexandru I. Tomescu, Elia C. Zirondelli:
Genome assembly, a universal theoretical framework: unifying and generalizing the safe and complete algorithms. - Prateek Katiyar, Anna Khoreva:
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis. - Jirí Fejlek, Stefan Ratschan:
Computation of Stabilizing and Relatively Optimal Feedback Control Laws Based on Demonstrations. - Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen:
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. - Sixing Yu, Arya Mazaheri, Ali Jannesari:
Auto Graph Encoder-Decoder for Model Compression and Network Acceleration. - Luis Fernando Abanto-Leon, Andreas Bäuml, Gek Hong Sim, Matthias Hollick, Arash Asadi:
Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints. - Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. - Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling:
Neural Representations for Modeling Variation in English Speech. - Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. - Jay Santokhi, Pankaj Daga, Joned Sarwar, Anna Jordan, Emil Hewage:
Temporal Autoencoder with U-Net Style Skip-Connections for Frame Prediction. - Jie Ma, Jun Liu, Junjun Li, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang:
XTQA: Span-Level Explanations of the Textbook Question Answering. - Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg:
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. - Om Ji Omer, Prashant Laddha, Gurpreet S. Kalsi, Anirud Thyagharajan, Kamlesh R. Pillai, Abhimanyu Kulkarni, Anbang Yao, Yurong Chen, Sreenivas Subramoney:
AccSS3D: Accelerator for Spatially Sparse 3D DNNs. - Mattia Segù, Alessio Tonioni, Federico Tombari:
Batch Normalization Embeddings for Deep Domain Generalization. - Morgan Frearson, Kien Nguyen:
Adversarial Attack on Facial Recognition using Visible Light. - Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. - Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma:
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. - Reyhaneh Rigia, Mehrdad Jalali, Mohammad Hossein Moattar:
A new method for community detection in social networks based on message distribution. - Aziz Ikemakhen, Mohamed Bellaihou:
Approximation of the geodesic curvature and applications for spherical geometric subdivision schemes. - Qi Liu, Hui Yuan, Raouf Hamzaoui, Honglei Su, Junhui Hou, Huan Yang:
Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression. - Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska:
DeepKoCo: Efficient latent planning with an invariant Koopman representation. - Yong Xiao, Yingyu Li, Guangming Shi, H. Vincent Poor:
Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks. - Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu:
Towards Playing Full MOBA Games with Deep Reinforcement Learning. - Xinyu Gao, Yuanwei Liu, Xidong Mu:
SLARM: Simultaneous Localization and Radio Mapping for Communication-aware Connected Robot. - Xinyu Gao, Yuanwei Liu, Xidong Mu:
Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA Indoor Networks. - Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam:
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys. - Amir Atapour Abarghouei, Andrew Stephen McGough, David Stanley Wall:
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. - Weizhi Du, Harvey Tian:
Coalition Control Model: A Dynamic Resource Distribution Method Based on Model Predicative Control. - Nima Safari, Seyed Mahdi Mazhari, C. Y. Chung, Seok-Bum Ko:
A Secure Deep Probabilistic Dynamic Thermal Line Rating Prediction. - Jayant Gupchup, Ashkan Aazami, Yaran Fan, Senja Filipi, Tom Finley, Scott Inglis, Marcus Asteborg, Luke Caroll, Rajan Chari, Markus Cozowicz, Vishak Gopal, Vinod Prakash, Sasikanth Bendapudi, Jack Gerrits, Eric Lau, Huazhou Liu, Marco Rossi, Dima Slobodianyk, Dmitri Birjukov, Matty Cooper, Nilesh Javar, Dmitriy Perednya, Sriram Srinivasan, John Langford, Ross Cutler, Johannes Gehrke:
Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication. - Jin Zhang, Yanhui Lv:
Finite element method for singularly perturbed problems with two parameters on a Bakhvalov-type mesh in 2D. - Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica:
Distributed Reinforcement Learning is a Dataflow Problem. - Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack. - Anzhu Yu, Wenyue Guo, Bing Liu, Xin Chen, Xin Wang, Xuefeng Cao, Bingchuan Jiang:
Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction. - Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet-Talocia, Luca Daniel:
Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics. - Alexander Y. Klimenko, Dimitri A. Klimenko:
On limitations of learning algorithms in competitive environments. - Vladimir Yussupov, Ghareeb Falazi, Uwe Breitenbücher, Frank Leymann:
On the Serverless Nature of Blockchains and Smart Contracts. - Victor Saase, Holger Wenz, Thomas Ganslandt, Christoph Groden, Máté E. Maros:
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods. - Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon:
Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. - Golnaz Badkobeh, Maxime Crochemore:
Left Lyndon tree construction. - Yue Qian, Junhui Hou, Sam Kwong, Ying He:
Deep Magnification-Arbitrary Upsampling over 3D Point Clouds. - Thilo Hagendorff:
AI virtues - The missing link in putting AI ethics into practice. - Xiaoyu Zhu, Hefeng Dong, Pierluigi Salvo Rossi, Martin Landrø:
Feature Selection based on Principal Component Analysis for Underwater Source Localization by Deep Learning. - Woongsup Lee, Robert Schober:
Deep Learning-based Resource Allocation For Device-to-Device Communication. - Emily Saltz, Claire Leibowicz, Claire Wardle:
Encounters with Visual Misinformation and Labels Across Platforms: An Interview and Diary Study to Inform Ecosystem Approaches to Misinformation Interventions. - Samuel Rivera, Olga Mendoza-Schrock, Ashley Diehl:
Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches. - John Paul P. Miranda, Jaymark A. Yambao, Jhon Asley M. Marcelo, Christopher Robert N. Gonzales, Vee-jay T. Mungcal:
Towards the Development of 3D Engine Assembly Simulation Learning Module for Senior High School. - Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen:
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. - Lars Lindemann, Dipankar Maity, John S. Baras, Dimos V. Dimarogonas:
Event-triggered Feedback Control for Signal Temporal Logic Tasks. - Lars Lindemann, Dimos V. Dimarogonas:
Decentralized Control Barrier Functions for Coupled Multi-Agent Systems under Signal Temporal Logic Tasks. - Peter Robinson, Raghavendra Ramesh:
General Purpose Atomic Crosschain Transactions. - Gautam Goel, Babak Hassibi:
Regret-optimal measurement-feedback control. - Kavan Adeshara, Vinayak Elangovan:
Face recognition using PCA integrated with Delaunay triangulation. - Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Region Proposal Learning for Object Detection for Robotics. - Luigi C. Berselli, Michael Ruzicka:
Optimal error estimate for a space-time discretization for incompressible generalized Newtonian fluids: The Dirichlet problem. - Zongze Wu, Dani Lischinski, Eli Shechtman:
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation. - A. Leitao, Peter A. Markowich, Jorge P. Zubelli:
Inverse problems for semiconductors: models and methods. - Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale:
Fast Object Segmentation Learning with Kernel-based Methods for Robotics. - Thibault Maho, Teddy Furon, Erwan Le Merrer:
SurFree: a fast surrogate-free black-box attack. - Wei Ren, Dimos V. Dimarogonas:
Logarithmic Quantization based Symbolic Abstractions for Nonlinear Control Systems. - Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic:
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning. - Wei Ren, Dimos V. Dimarogonas:
Dynamic Quantization based Symbolic Abstractions for Nonlinear Control Systems. - Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences: Application to audio signal recovery. - Kangway V. Chuang, Michael J. Keiser:
Attention-Based Learning on Molecular Ensembles. - Wei Ren, Dimos V. Dimarogonas:
Symbolic Abstractions for Nonlinear Control Systems via Feedback Refinement Relation. - Rafal Kucharski, Oded Cats:
MaaSSim - agent-based two-sided mobility platform simulator. - Clément Dorffer, Thomas Paviet-Salomon, Gilles Le Chenadec, Angélique Drémeau:
Learning sparse structures for physics-inspired compressed sensing. - Wonwoong Cho, Inyeop Lee, David I. Inouye:
Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline. - Lourenço Beirão da Veiga, Lorenzo Mascotto:
Interpolation and stability properties of low order face and edge virtual element spaces. - Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel:
Image Inpainting with Contextual Reconstruction Loss. - Sabah Al-Fedaghi, Manar AlSaraf:
High-Level Description of Robot Architecture. - Nick Iliev, Amit Ranjan Trivedi:
Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks. - Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset, David M. Rothschild, Markus Mobius, Duncan J. Watts:
Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube. - Lukasz Debowski:
Bounds for Algorithmic Mutual Information and a Unifilar Order Estimator. - Qianwei Cheng, A K M Mahbubur Rahman, Anis Sarker, Abu Bakar Siddik Nayem, Ovi Paul, Amin Ahsan Ali, M. Ashraful Amin, Ryosuke Shibasaki, Moinul Islam Zaber:
Deep-learning coupled with novel classification method to classify the urban environment of the developing world. - Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos:
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation. - Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations. - Omkar Kumbhar, Elena Sizikova, Najib J. Majaj, Denis G. Pelli:
Anytime Prediction as a Model of Human Reaction Time. - Phuong D. H. Nguyen, Yasmin Kim Georgie, Ezgi Kayhan, Manfred Eppe, Verena Vanessa Hafner, Stefan Wermter:
Sensorimotor representation learning for an "active self" in robots: A model survey. - Jana Koehler, Josef Bürgler, Urs Fontana, Etienne Fux, Florian A. Herzog, Marc Pouly, Sophia Saller, Anastasia Salyaeva, Peter Scheiblechner, Kai Waelti:
Cable Tree Wiring - Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints. - Francesca Foffano, Teresa Scantamburlo, Atia Cortés, Chiara Bissolo:
European Strategy on AI: Are we truly fostering social good? - Yue Li, Marc Habermann, Bernhard Thomaszewski, Stelian Coros, Thabo Beeler, Christian Theobalt:
Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture. - Yi Zhou, Zhenhao Chen:
Multimodal Learning for Hateful Memes Detection. - Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson:
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS. - Adam Shimi, Aurélie Hurault, Philippe Quéinnec:
Characterization and Derivation of Heard-Of Predicates for Asynchronous Message-Passing Models. - Dorsa Fathollahi, Nariman Farsad, Seyyed Ali Hashemi, Marco Mondelli:
Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes. - Lu Chen, Lipeng Chen, Xiangchi Chen, Yi Ren, Longfei Zhao, Yue Wang, Rong Xiong:
Improving Redundancy Availability: Dynamic Subtasks Modulation for Robots with Redundancy Insufficiency. - Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. - Diogo Silveira Mendonça, Marcos Kalinowski:
An Empirical Investigation on the Challenges of Creating Custom Static Analysis Rules for Defect Localization. - Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
Recalibration of Neural Networks for Point Cloud Analysis. - Nicolae Suciu, Davide Illiano, Alexander Prechtel, Florin A. Radu:
Global random walk solvers for fully coupled flow and transport in saturated/unsaturated porous media (extended version). - Myunggi Lee, Wonwoong Cho, Moonheum Kim, David I. Inouye, Nojun Kwak:
StyleUV: Diverse and High-fidelity UV Map Generative Model. - Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang:
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning. - Daniel Saad Nogueira Nunes, Felipe A. Louza, Simon Gog, Mauricio Ayala-Rincón, Gonzalo Navarro:
Grammar Compression By Induced Suffix Sorting. - Ivan Evtimov, Russ Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton-Ferrer:
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption. - Oleg Stelia, Leonid Potapenko, Igor Stelia:
Local piecewise polynomial curve of variable order and its appliance for calculating of nodal derivatives. - Mohsen Jafarzadeh, Akshay Raj Dhamija, Steve Cruz, Chunchun Li, Touqeer Ahmad, Terrance E. Boult:
Open-World Learning Without Labels. - Rahul Sajnani, AadilMehdi J. Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna:
DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. - Yoshitomo Matsubara:
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation. - Peter Holderrieth, Michael J. Hutchinson, Yee Whye Teh:
Equivariant Conditional Neural Processes. - Fahd Ahmed Khan, Zafar Abbas Malik, Ali A. Nasir, Mudassir Masood:
Relay Selection & Power Allocation for Maximizing Sum-Throughput of a Buffered Relay Network. - David Tran, Alex Valtchanov, Keshav Ganapathy, Raymond Feng, Eric Slud, Micah Goldblum, Tom Goldstein:
Analyzing the Machine Learning Conference Review Process. - Agatha C. H. de Mattos, Gavin McArdle, Michela Bertolotto:
Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities. - Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Unsupervised Object Keypoint Learning using Local Spatial Predictability. - Itamar Winter, Daphna Weinshall:
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample. - Nimit Sharad Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. - Yao-Chia Chan, Syed Ali Jafar:
Secure GDoF of the Z-channel with Finite Precision CSIT: How Robust are Structured Codes? - Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla:
Deformable Neural Radiance Fields. - Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim:
Space-time Neural Irradiance Fields for Free-Viewpoint Video. - Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu:
Unsupervised Object Detection with LiDAR Clues. - Peng Jiang, Philip R. Osteen, Maggie B. Wigness, Srikanth Saripalli:
RELLIS-3D Dataset: Data, Benchmarks and Analysis. - Bernardo Cortez:
Reinforcement Learning for Robust Missile Autopilot Design. - Ahmed Kedir Mohammed, Ivar Farup, Marius Pedersen, Sule Yildirim, Øistein Hovde:
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. - Zhenlong Li, Xiao Huang, Xinyue Ye, Xiaoming Li:
ODT Flow Explorer: Extract, Query, and Visualize Human Mobility. - Lars Lien Ankile, Morgan Feet Heggland, Kjartan Krange:
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications. - Lan Wei, John S. Heidemann:
Whac-A-Mole: Six Years of DNS Spoofing. - Hemant Yadav, Janvijay Singh, Atul Anshuman Singh, Rachit Mittal, Rajiv Ratn Shah:
De-STT: De-entaglement of unwanted Nuisances and Biases in Speech to Text System using Adversarial Forgetting. - Amir K. Khandani:
Capacity Region of Two-users Weak Gaussian Interference Channel. - Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Grafit: Learning fine-grained image representations with coarse labels. - Cody J. Balos, David J. Gardner, Carol S. Woodward, Daniel R. Reynolds:
Enabling GPU Accelerated Computing in the SUNDIALS Time Integration Library. - Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda:
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. - Katrin Renz, Nicolaj C. Stache, Samuel Albanie, Gül Varol:
Sign language segmentation with temporal convolutional networks. - Shahana Ibrahim, Xiao Fu:
Mixed Membership Graph Clustering via Systematic Edge Query. - Tong Huang, Bin Wang, Jorge Ramos-Ruiz, Prasad Enjeti, P. R. Kumar, Le Xie:
Detection of Cyber Attacks in Renewable-rich Microgrids Using Dynamic Watermarking. - Somnath Karmakar, Jayasree Sengupta, Sipra Das Bit:
LEADER: Low Overhead Rank Attack Detection for Securing RPL based IoT. - João Pedro Moreira Ferreira, Thiago M. Coutinho, Thiago L. Gomes, José F. Neto, Rafael Azevedo, Renato Martins, Erickson R. Nascimento:
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio. - Reena Elangovan, Shubham Jain, Anand Raghunathan:
Ax-BxP: Approximate Blocked Computation for Precision-Reconfigurable Deep Neural Network Acceleration. - Lucas Cordova, Jeffrey C. Carver, Gursimran Walia, Noah Gershmel:
A Comparison of Inquiry-Based Conceptual Feedback vs. Traditional Detailed Feedback Mechanisms in Software Testing Education: An Empirical Investigation. - Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler:
PREDATOR: Registration of 3D Point Clouds with Low Overlap. - Mervyn O'Luing, Steven D. Prestwich, S. Armagan Tarim:
A Simulated Annealing Algorithm for Joint Stratification and Sample Allocation Designs. - Tianyu Han, Sven Nebelung, Federico Pedersoli, Markus Zimmermann, Maximilian Schulze-Hagen, Michael Ho, Christoph Haarburger, Fabian Kiessling, Christiane Kuhl, Volkmar Schulz, Daniel Truhn:
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. - Davis Wertheimer, Omid Poursaeed, Bharath Hariharan:
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation. - Grace Abuhamad, Claudel Rheault:
Like a Researcher Stating Broader Impact For the Very First Time. - Jingfeng Wu, Vladimir Braverman, Lin F. Yang:
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning. - Antonio Casares, Thomas Colcombet, Nathanaël Fijalkow:
Optimal transformations of Muller conditions. - Cheng-Hao Liu, Maksym Korablyov, Stanislaw Jastrzebski, Pawel Wlodarczyk-Pruszynski, Yoshua Bengio, Marwin H. S. Segler:
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design. - Homer Walke, R. Kenny Jones, Daniel Ritchie:
Learning to Infer Shape Programs Using Latent Execution Self Training. - Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille:
Can Temporal Information Help with Contrastive Self-Supervised Learning? - Irene M. Gamba, Qin Li, Anjali Nair:
Reconstructing the thermal phonon transmission coefficient at solid interfaces in the phonon transport equation. - Haohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing:
Squared 𝓁2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations. - Sameera Ramasinghe, Moshiur R. Farazi, Salman H. Khan, Nick Barnes, Stephen Gould:
How to train your conditional GAN: An approach using geometrically structured latent manifolds. - Mehmet Sükrü Kuran, H. Birkan Yilmaz, Ilker Demirkol, Nariman Farsad, Andrea Goldsmith:
A Survey on Modulation Techniques in Molecular Communication via Diffusion. - Nao Tokui:
Can GAN originate new electronic dance music genres? - Generating novel rhythm patterns using GAN with Genre Ambiguity Loss. - Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan:
Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning. - N. C. Shrikanth, Suvodeep Majumder, Tim Menzies:
Early Life Cycle Software Defect Prediction. Why? How? - Rafael Lima:
Hawkes Processes Modeling, Inference and Control: An Overview. - Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian:
Omni-GAN: On the Secrets of cGANs and Beyond. - Haoxin Wang, BaekGyu Kim, Jiang (Linda) Xie, Zhu Han:
Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications. - Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. - Shilpika, Takanori Fujiwara, Naohisa Sakamoto, Jorji Nonaka, Kwan-Liu Ma:
A Visual Analytics Approach to Monitor Time-Series Data with Incremental and Progressive Functional Data Analysis. - Bolin Pan, Simon R. Arridge, Felix Lucka, Ben T. Cox, Nam Huynh, Paul C. Beard, Edward Z. Zhang, Marta M. Betcke:
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame. - Parviz Khaledian, Armin Aligholian, Hamed Mohsenian Rad:
Event-Based Analysis of Solar Power Distribution Feeder Using Micro-PMU Measurements. - Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang:
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. - Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. - Alicia Y. Tsai, Selim Günay, Minjune Hwang, Pengyuan Zhai, Chenglong Li, Laurent El Ghaoui, Khalid M. Mosalam:
Text Analytics for Resilience-Enabled Extreme EventsReconnaissance. - Hui Wei:
The Evolution of Concept-Acquisition based on Developmental Psychology. - Kiran Sharma:
Patterns of retractions from 1981-2020 : Does a fraud lead to another fraud? - Sanghwa Lee, Jaeyoung Lee, Ichiro Hasuo:
Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning. - Sibo Qiao, Shanchen Pang, Gang Luo, Silin Pan, Xun Wang, Min Wang, Xue Zhai, Taotao Chen:
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography. - Shashi Raj Pandey, Kitae Kim, Madyan Alsenwi, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Latency-sensitive Service Delivery with UAV-Assisted 5G Networks. - Majid Moghadam, Ali Alizadeh, Engin Tekin, Gabriel Hugh Elkaim:
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space. - Majid Moghadam, Gabriel Hugh Elkaim:
An Autonomous Driving Framework for Long-term Decision-making and Short-term Trajectory Planning on Frenet Space. - Zhaopeng Qiu, Xian Wu, Wei Fan:
Automatic Distractor Generation for Multiple Choice Questions in Standard Tests. - Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Regret Bounds for Adaptive Nonlinear Control. - Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone:
Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. - Mat Kelly, Jane Greenberg, Christopher B. Rauch, Sam Grabus, Joan P. Boone, John A. Kunze, Peter Melville Logan:
A Computational Approach to Historical Ontologies. - Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh, Xue Li:
Learning Causal Bayesian Networks from Text. - Li Wei, Chongwen Huang, George C. Alexandropoulos, Zhaohui Yang, Chau Yuen, Zhaoyang Zhang:
Joint Channel Estimation and Signal Recovery in RIS-Assisted Multi-User MISO Communications. - Seung-Hwan Baek, Felix Heide:
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo. - Xiaoxiao Long, Lingjie Liu, Wei Li, Christian Theobalt, Wenping Wang:
Multi-view Depth Estimation using Epipolar Spatio-Temporal Network. - Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi:
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. - Georgi Marinov:
Real-time error correction and performance aid for MIDI instruments. - Yichun Shi, Divyansh Aggarwal, Anil K. Jain:
Lifting 2D StyleGAN for 3D-Aware Face Generation. - Haoran Xu, Fredrik Kjolstad:
Copy-and-Patch Binary Code Generation. - Ahmad Saeed, Ebrahim Shahzad, Laeeq Aslam, Ijaz Mansoor Qureshi, Adnan Umar Khan, Muhammad Iqbal:
A New Paradigm for Water Level Regulation using Three Pond Model with Fuzzy Inference System for Run of River Hydropower Plant. - (Withdrawn) Generative Learning of Heterogeneous Tail Dependence.
- Jianan Lin:
Nearly Complete Characterization of 2-Agent Deterministic Strategyproof Mechanisms for Single Facility Location in Lp Space. - Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. - Weixin Huang, Huawei Liang, Linglong Lin, Zhiling Wang, Shaobo Wang, Biao Yu, Runxin Niu:
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field. - Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, Sam Kwong:
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images. - Kal Backman, Dana Kulic, Hoam Chung:
Learning to Assist Drone Landings. - Peng Kang, Kui Cai, Xuan He, Jinhong Yuan:
Generalized Mutual Information-Maximizing Quantized Decoding of LDPC Codes. - Liang Lu, Naoyuki Kanda, Jinyu Li, Yifan Gong:
Streaming end-to-end multi-talker speech recognition. - Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik:
Better Knowledge Retention through Metric Learning. - Serin Yang, Eung-Yeop Kim, Jong Chul Ye:
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaIN. - Yongming Huang, Shengheng Liu, Cheng Zhang, Xiaohu You, Hequan Wu:
True-data Testbed for 5G/B5G Intelligent Network. - Josephine Seah:
Nose to Glass: Looking In to Get Beyond. - Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. - Oliver Moseler, Felix Lemmer, Sebastian Baltes, Stephan Diehl:
On the diversity and frequency of code related to mathematical formulas in real-world Java projects. - Gabriel Istrate, Cosmin Bonchis:
Being Central on the Cheap: Stability in Heterogeneous Multiagent Centrality Games. - Michael P. McIntyre, George van Schoor, Kenneth Richard Uren, Cornelius P. Kloppers:
Modelling the pulsatile flow rate and pressure response of a roller-type peristaltic pump. - Adriano Lucieri, Muhammad Naseer Bajwa, Andreas Dengel, Sheraz Ahmed:
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems. - Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman:
Anticipatory Ethics and the Role of Uncertainty. - Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts:
Universal Semantics for the Stochastic Lambda-Calculus. - Zhen Huang, Jianyuan Yin, Lei Zhang:
Constrained high-index saddle dynamics for the solution landscape with equality constraints. - Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang:
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. - Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide:
Regularization with Latent Space Virtual Adversarial Training. - Yanjia Zhu, Hongxiang Cai, Shuhan Zhang, Chenhao Wang, Yichao Xiong:
TinaFace: Strong but Simple Baseline for Face Detection. - L. L. Rokebrand, J. J. Burchell, Laurentz E. Olivier, Ian K. Craig:
Competing Advanced Process Control via an Industrial Automation Cloud Platform. - Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. - Ramon Ruiz-Dolz, Stella Heras, José Alemany, Ana García-Fornes:
Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation. - Marcus Fischer, Adrian Hofmann, Florian Imgrund, Christian Janiesch, Axel Winkelmann:
On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study. - Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin:
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. - Morteza Azad, Silvia Cruciani, Michael J. Mathew, Graham E. Deacon, Guillaume de Chambrier:
Polyhedral Friction Cone Estimator for Object Manipulation. - Silviu Oprea, Sourav Dutta, Haytham Assem:
Unsupervised Word Translation Pairing using Refinement based Point Set Registration. - Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert:
t-EVA: Time-Efficient t-SNE Video Annotation. - Hans van Ditmarsch, Malvin Gattinger, Rahim Ramezanian:
Everyone Knows that Everyone Knows: Gossip Protocols for Super Experts. - Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, Verena Rieser:
SLURP: A Spoken Language Understanding Resource Package. - Peihu Duan, Qishao Wang, Zhisheng Duan, Guanrong Chen:
A Distributed Optimization Scheme for State Estimation of Nonlinear Networks with Norm-bounded Uncertainties. - Jesse Richter-Klug, Udo Frese:
Handling Object Symmetries in CNN-based Pose Estimation. - Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks. - Calin-Ioan Gheorghiu:
Accurate Spectral Collocation Solutions to some Bratu's Type Boundary Value Problems. - Gabriele Costa, Andrea Valenza:
Why Charles Can Pen-test: an Evolutionary Approach to Vulnerability Testing. - Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. - Jihyeon Roh, Sang-Hoon Oh, Soo-Young Lee:
Unigram-Normalized Perplexity as a Language Model Performance Measure with Different Vocabulary Sizes. - Günes Kurt, Halim Yanikomeroglu:
Communication, Computing, Caching, and Sensing for Next Generation Aerial Delivery Networks. - Qing Zhu, Shengzhi Huang, Han Hu, Haifeng Li, Min Chen, Ruofei Zhong:
Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images. - Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros:
Input Convex Neural Networks for Building MPC. - Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht:
MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons. - Benedek Fabian, Thomas Edlich, Héléna Gaspar, Marwin H. S. Segler, Joshua Meyers, Marco Fiscato, Mohamed Ahmed:
Molecular representation learning with language models and domain-relevant auxiliary tasks. - Haotian Zhu, Denise Mak, Jesse Gioannini, Fei Xia:
NLPStatTest: A Toolkit for Comparing NLP System Performance. - Wang Yi, Morteza Mohaqeqi, Susanne Graf:
MIMOS: A Deterministic Model for the Design and Update of Real-Time Systems. - Alvi Md. Ishmam:
Towards Interpretable Multilingual Detection of Hate Speech against Immigrants and Women in Twitter at SemEval-2019 Task 5. - Min-Bin Lin, Kainat Khowaja, Cathy Yi-Hsuan Chen, Wolfgang Karl Härdle:
Blockchain mechanism and distributional characteristics of cryptos. - Myungchul Kim, Sanghyun Woo, Dahun Kim, In So Kweon:
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. - Abdullah Hamdi, Silvio Giancola, Bing Li, Ali K. Thabet, Bernard Ghanem:
MVTN: Multi-View Transformation Network for 3D Shape Recognition. - Dawood Al Chanti, Vanessa Gonzalez Duque, Marion Crouzier, Antoine Nordez, Lilian Lacourpaille, Diana Mateus:
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscles Segmentation and Propagation in 3-D Freehand Ultrasound. - Prajakta Nimbhorkar, Geevarghese Philip, Vishwa Prakash HV:
Disjoint Stable Matchings in Linear Time. - Rutvik Vijjali, Prathyush Potluri, Siddharth Kumar, Sundeep Teki:
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking. - Changyong Shu, Yifan Liu, Jianfei Gao, Lin Xu, Chunhua Shen:
Channel-wise Distillation for Semantic Segmentation. - Sandesh Ramesh, Anirudh Hebbar, Varun Yadav, Thulasiram Gunta, A. Balachandra:
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks. - Tingtian Li, Zixun Sun, Xiao Chen:
Group-Skeleton-Based Human Action Recognition in Complex Events. - Thomas Byrne, Sándor P. Fekete, Jörg Kalcsics, Linda Kleist:
Competitive Location Problems: Balanced Facility Location and the One-Round Manhattan Voronoi Game. - Jacky Akoka, Isabelle Comyn-Wattiau, Stéphane Lamassé, Cédric du Mouza:
Contribution of Conceptual Modeling to Enhancing Historians' Intuition -Application to Prosopography. - Maxence Grand, Humbert Fiorino, Damien Pellier:
AMLSI: A Novel Accurate Action Model Learning Algorithm. - Anil Koyuncu, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
FlexiRepair: Transparent Program Repair with Generic Patches. - Alexandre Arnold, Gérard Dupont, Félix Furger, Catherine Kobus, François Lancelot:
A question-answering system for aircraft pilots' documentation. - Jakub Wiktor Both, Nicolás A. Barnafi, Florin A. Radu, Paolo Zunino, Alfio Quarteroni:
Iterative splitting schemes for a soft material poromechanics model. - Damien Pellier, Humbert Fiorino:
Totally and Partially Ordered Hierarchical Planners in PDDL4J Library. - Segev Wasserkrug, Eitan Israeli:
A Game Theoretic Model for Strategic Coopetition in Business Networks. - Carsten Hahn, Sebastian Feld, Hannes Schroter:
Predictive Collision Management for Time and Risk Dependent Path Planning. - Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies:
A Metric for Linear Symmetry-Based Disentanglement. - Weijia Wu, Enze Xie, Ruimao Zhang, Wenhai Wang, Guan Pang, Zhen Li, Hong Zhou, Ping Luo:
SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training. - Kaite Xiang, Kailun Yang, Kaiwei Wang:
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion. - Diogo C. Luvizon, Gustavo Sutter P. Carvalho, Andreza A. dos Santos, Jhonatas S. Conceição, Jose L. Flores-Campana, Luis G. L. Decker, Marcos Roberto e Souza, Hélio Pedrini, Antonio Joia, Otávio A. B. Penatti:
Adaptive Multiplane Image Generation from a Single Internet Picture. - Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry, Asriel Han, Jaclyn Xiao, Sabrina Shen, Amil Khanzada:
Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough. - Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua:
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition. - Lukas Kogler, Joachim Schöberl:
An algebraic multigrid method based on an auxiliary topology with edge matrices. - Dennis Klinkhammer:
Analysing Social Media Network Data with R: Semi-Automated Screening of Users, Comments and Communication Patterns. - Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution. - Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. - Yuanwei Liu, Xidong Mu, Xiao Liu, Marco Di Renzo, Zhiguo Ding, Robert Schober:
Reconfigurable Intelligent Surface (RIS) Aided Multi-User Networks: Interplay Between NOMA and RIS. - Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang:
4D Human Body Capture from Egocentric Video via 3D Scene Grounding. - Jan Baumeister, Bernd Finkbeiner, Matthis Kruse, Maximilian Schwenger:
Automatic Optimizations for Stream-based Monitoring Languages. - Markus Petz, Gerlind Plonka, Nadiia Derevianko:
Exact Reconstruction of Sparse Non-Harmonic Signals from Fourier Coefficients. - Catarina Lopes Dias, Andreea Ioana Sburlea, Katharina Breitegger, Daniela Wyss, Harald Drescher, Renate Wildburger, Gernot R. Müller-Putz:
Online asynchronous detection of error-related potentials in participants with spinal cord injury by adapting a pre-trained generic classifier. - Santiago Cortes, Yullys M. Quintero:
Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic. - Aditya Kalyanpur, Tom Breloff, David A. Ferrucci, Adam Lally, John Jantos:
Braid: Weaving Symbolic and Statistical Knowledge into Coherent Logical Explanations. - Xiangxiang Chu, Xiaohang Zhan, Xiaolin Wei:
Beyond Single Instance Multi-view Unsupervised Representation Learning. - Samadhi Wickrama Arachchilage, Ebroul Izquierdo:
ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition. - Samadhi Wickrama Arachchilage, Ebroul Izquierdo:
SSDL: Self-Supervised Domain Learning for Improved Face Recognition. - Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning. - Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam Jamshidi Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck:
SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. - Luojie Huang, Gregory N. McKay, Nicholas J. Durr:
Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos with Bidirectional Temporal Deep Learning Tracking Algorithm. - Masaki Aida, Ayako Hashizume:
Modeling of Online Echo-Chamber Effect Based on the Concept of Spontaneous Symmetry Breaking. - Eunji Park, Kyoung Ho Park, Huy Kang Kim:
Understand Watchdogs: Discover How Game Bot Get Discovered. - Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes:
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect. - Linus Ericsson, Henry Gouk, Timothy M. Hospedales:
How Well Do Self-Supervised Models Transfer? - Dapeng Feng, Kathryn Lawson, Chaopeng Shen:
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling. - Hong-lin Liao, Tao Tang, Tao Zhou:
Positive definiteness of real quadratic forms resulting from the variable-step approximation of convolution operators. - Ruijie Jiang, Julia Gouvea, David Hammer, Shuchin Aeron:
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space. - Mattia Segù, Margarita Grinvald, Roland Siegwart, Federico Tombari:
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer. - Nicklas Hansen, Xiaolong Wang:
Generalization in Reinforcement Learning by Soft Data Augmentation. - Abhishek Moitra, Priyadarshini Panda:
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks. - Jiatong Shi, Chunlei Zhang, Chao Weng, Shinji Watanabe, Meng Yu, Dong Yu:
Improving RNN Transducer With Target Speaker Extraction and Neural Uncertainty Estimation. - Sahil Verma, Subhajit Roy:
Debug-Localize-Repair: A Symbiotic Construction for Heap Manipulations. - Mattia Segù, Federico Pirovano, Gianmario Fumagalli, Amedeo Fabris:
Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps. - Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko:
Learning from Lexical Perturbations for Consistent Visual Question Answering. - Margarita Boyarskaya, Alexandra Olteanu, Kate Crawford:
Overcoming Failures of Imagination in AI Infused System Development and Deployment. - Wamiq Para, Paul Guerrero, Tom Kelly, Leonidas J. Guibas, Peter Wonka:
Generative Layout Modeling using Constraint Graphs. - Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona:
Outcome Indistinguishability. - Soyong Shin, Eni Halilaj:
Multi-view Human Pose and Shape Estimation Using Learnable Volumetric Aggregation. - hsan Ullah, Andre Rios, Vaibhav Gala, Susan McKeever:
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation. - Aleix Roca Nonell, Balazs Gerofi, Leonardo Bautista-Gomez, Dominique Martinet, Vicenç Beltran Querol, Yutaka Ishikawa:
On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale. - Hansi Zeng, Qingyao Ai:
A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems. - Sameer Khurana, Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training. - Mayumi Kubota, Julius G. Garcia:
Creating and Maintaining Filipino and Japanese Students Social Capital with Facebook. - Jack Edmonds, Fatemeh Tehranipoor:
Attacks on Lightweight Hardware-Based Security Primitives. - Wilmer Ricciotti, James Cheney:
Strongly-Normalizing Higher-Order Relational Queries. - Sahil Verma, Zhendong Su:
ShapeFlow: Dynamic Shape Interpreter for TensorFlow. - Benedikte Wallace, Charles P. Martin, Jim Tørresen, Kristian Nymoen:
Towards Movement Generation with Audio Features. - Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu:
TKUS: Mining Top-K High-Utility Sequential Patterns. - Chunkai Zhang, Zilin Du, Yuting Yang, Wensheng Gan, Philip S. Yu:
On-shelf Utility Mining of Sequence Data. - Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole:
Score-Based Generative Modeling through Stochastic Differential Equations. - Jane X. Wang:
Meta-learning in natural and artificial intelligence. - Medha Subramanian, Jan Viebahn, Simon H. Tindemans, Benjamin Donnot, Antoine Marot:
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach. - Tianhong Dai, Hengyan Liu, Anil Anthony Bharath:
Episodic Self-Imitation Learning with Hindsight. - Nham Le, Tuan Manh Lai, Trung Bui, Doo Soon Kim:
AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises. - Tobias Pulls:
Towards Effective and Efficient Padding Machines for Tor. - Priyank Pathak:
Fine-Grained Re-Identification. - Adiel Statman, Liat Rozenberg, Dan Feldman:
Faster Projective Clustering Approximation of Big Data. - Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton:
Decoding and Diversity in Machine Translation. - Yujia Yang, Ye Wang, Chris Manzie, Ye Pu:
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates. - Yago Martin, Zhenlong Li, Yue Ge:
Towards real-time population estimates: introducing Twitter daily estimates of residents and non-residents at the county level. - Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. - Zhiyang He, Jason Li:
Tight Bound on Vertex Cut Sparsifiers in Directed Acyclic Graphs. - Federico Ghelli Visi, Atau Tanaka:
Interactive Machine Learning of Musical Gesture. - Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen:
Fast IR Drop Estimation with Machine Learning. - Ján Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna L. Vrabie:
Spectral Analysis and Stability of Deep Neural Dynamics. - Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza:
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. - Zhiyao Xie, Haoxing Ren, Brucek Khailany, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen:
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network. - Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. - Elliott Skomski, Ján Drgona, Aaron Tuor:
Physics-Informed Neural State Space Models via Learning and Evolution. - Yuwen Li, Ludmil T. Zikatanov:
Fast auxiliary space preconditioners on surfaces. - Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu:
Trajectory planning for multiple autonomous underwater vehicles with safety guarantees. - Juno Hwang, Wonseok Hwang, Junghyo Jo:
Tractable loss function and color image generation of multinary restricted Boltzmann machine. - Harry Oviedo, Hugo Lara:
Spectral Residual Method for Nonlinear Equations on Riemannian Manifolds. - Sina Amini Niaki, Ehsan Haghighat, Xinglong Li, Trevor Campbell, Reza Vaziri:
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture. - Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulic:
Human-in-the-loop Cueing Strategy for Gait Rehabilitation. - Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani:
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning. - Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen:
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation. - Meng Shen, Hao Yu, Liehuang Zhu, Ke Xu, Qi Li, Xiaojiang Du:
Robust Attacks on Deep Learning Face Recognition in the Physical World. - Chun-Hsing Lin, Siang-Ruei Wu, Hung-yi Lee, Yun-Nung Chen:
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation. - Lichao Wang, Lanxin Lei, Hongli Song, Weibao Wang:
The NEOLIX Open Dataset for AutonomousDriving. - Zhuo Huang, Ying Tai, Chengjie Wang, Jian Yang, Chen Gong:
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning. - Nishant Subramani, Alexandre Matton, Malcolm Greaves, Adrian Lam:
A Survey of Deep Learning Approaches for OCR and Document Understanding. - Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang:
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. - Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan C. Bovik:
Patch-VQ: 'Patching Up' the Video Quality Problem. - Haoyi Fan, Fengbin Zhang, Yue Gao:
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning. - Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh:
Domain Adaptative Causality Encoder. - Surbhi Goel, Adam R. Klivans, Pasin Manurangsi, Daniel Reichman:
Tight Hardness Results for Training Depth-2 ReLU Networks. - Abhijeet Sahu, Patrick Wlazlo, Zeyu Mao, Hao Huang, Ana E. Goulart, Katherine R. Davis, Saman A. Zonouz:
Design and Evaluation of A Cyber-Physical Resilient Power System Testbed. - Yi Gu, Yuting Gao, Ruoxin Chen, Feiyang Cai, Jie Li, Chentao Wu:
Association: Remind Your GAN not to Forget. - R. K. Ghosh, Vinay R, Arnab Bhattacharyya:
Eco-Routing Using Open Street Maps. - Mingfu Xue, Shichang Sun, Zhiyu Wu, Can He, Jian Wang, Weiqiang Liu:
SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images. - Hongyang Zhang, Xiaojing Huang, J. Andrew Zhang:
Low-Complexity Frequency Domain Equalization over Fast Fading Channels. - Chiara Ledesma, Oshean Lee Garonita, Lorenzo Jaime Flores, Isabelle Tingzon, Danielle Dalisay:
Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information. - Mingfu Xue, Can He, Jian Wang, Weiqiang Liu:
DNN Intellectual Property Protection: Taxonomy, Methods, Attack Resistance, and Evaluations. - Yuanhao Shen, Jungang Han:
Joint Extraction of Entity and Relation with Information Redundancy Elimination. - Tetsuya Fujie, Yuya Higashikawa, Naoki Katoh, Junichi Teruyama, Yuki Tokuni:
Minmax Regret 1-Sink Location Problems on Dynamic Flow Path Networks with Parametric Weights. - Yekyung Kim:
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient. - Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu:
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion. - Xiongtao Cui, Jungang Han:
Chinese Medical Question Answer Matching Based on Interactive Sentence Representation Learning. - Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. - Belinda Stapelberg, Katherine M. Malan:
A survey of benchmarking frameworks for reinforcement learning. - Alireza Mohammadidoost, Matin Hashemi:
High-Throughput Parallel Viterbi Decoder on GPU Tensor Cores. - Chuan-Shen Hu, Yu-Min Chung:
A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images. - Margot J. Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor, Noah Snavely, Helen Nissenbaum:
An Ethical Highlighter for People-Centric Dataset Creation. - Jeffrey Fong, Siwei Chen, Kaiqi Chen:
Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping. - Debasis Mazumdar:
Representation of 2D frame less visual space as a neural manifold and its information geometric interpretation. - Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda:
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles. - Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. - Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Pruning and Quantizing Neural Belief Propagation Decoders. - Ibtissem Chouba, Lionel Amodeo, Farouk Yalaoui, Taha Arbaoui, David Laplanche:
A Mixed Integer Linear Program For Human And Material Resources Optimization In Emergency Department. - Shiwen He, Zhenyu An, Jianyue Zhu, Jian Zhang, Yongming Huang, Yaoxue Zhang:
Beamforming Design for Multiuser uRLLC with Finite Blocklength Transmission. - Yang Xu, Haibin Kan, Guangyue Han:
A Galois Connection Approach to Wei-Type Duality Theorems. - Elise Beck, Julie Dugdale, Carole Adam, Christelle Gaïdatzis, Julius Bañgate:
A methodology for co-constructing an interdisciplinary model: from model to survey, from survey to model. - Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang:
A Construction of Maximally Recoverable Codes with Order-Optimal Field Size. - Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin:
PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers. - Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. - Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu:
Eigenvalue-corrected Natural Gradient Based on a New Approximation. - Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang:
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. - Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang:
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning. - Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra:
Manipulating Medical Image Translation with Manifold Disentanglement. - Zhenxun Yuan, Xiao Song, Lei Bai, Wengang Zhou, Zhe Wang, Wanli Ouyang:
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving. - Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. - Koki Yagi, Susumu Nishimura:
Logical Obstruction to Set Agreement Tasks for Superset-Closed Adversaries. - Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin:
CoRe: An Efficient Coarse-refined Training Framework for BERT. - Apostolos Avranas, Marios Kountouris, Philippe Ciblat:
Deep Reinforcement Learning for Wireless Scheduling with Multiclass Services. - Cheng Yang, Shengnan Wang, Chao Yang, Yuechuan Li, Ru He, Jingqiao Zhang:
Progressively Stacking 2.0: A Multi-stage Layerwise Training Method for BERT Training Speedup. - Miao Qin, Yongchuan Tang:
Combination of interval-valued belief structures based on belief entropy. - Nadeem Kafi, Zubair Ahmed Shaikh, Muhammad Shahid Shaikh:
Human Computations in Citizen Crowds: A Knowledge Management Solution Framework. - Martin Ottersten, Hua-Dong Yao, Lars Davidson:
Numerical and experimental study of tonal noise sources at the outlet of an isolated centrifugal fan. - Simone Mellace, Vani Kanjirangat, Alessandro Antonucci:
Relation Clustering in Narrative Knowledge Graphs. - Takuma Doi, Fumio Okura, Toshiki Nagahara, Yasuyuki Matsushita, Yasushi Yagi:
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction. - Yu Deng, Jiaolong Yang, Xin Tong:
Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence. - Lirong Deng, Xuan Zhang, Tianshu Yang, Hongbin Sun, Shmuel S. Oren:
Community Energy Storage Management for Welfare Optimization Using a Markov Decision Process. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization. - Marlon Marcon, Olga Regina Pereira Bellon, Luciano Silva:
Towards real-time object recognition and pose estimation in point clouds. - Christian Fredrik Sætre, Anton S. Shiriaev, Leonid B. Freidovich, Sergei V. Gusev, Leonid M. Fridman:
Robust Orbital Stabilization: A Floquet Theory-based approach. - Yang Zhao, Wei Jia, Ronggang Wang, Xiaoping Liu, Xuesong Gao, Weiqiang Chen, Wen Gao:
Deinterlacing Network for Early Interlaced Videos. - Anderson Queiroz, Eduardo Oliveira, Maria Barbosa, Kelvin L. Dias:
A Survey on Blockchain and Edge Computing applied to the Internet of Vehicles. - Songtao Liu, Zeming Li, Jian Sun:
Self-EMD: Self-Supervised Object Detection without ImageNet. - Arjun Mani, Will Hinthorn, Nobline Yoo, Olga Russakovsky:
Point and Ask: Incorporating Pointing into Visual Question Answering. - Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Z. Wang, Cheng-Hao Kuo:
MEBOW: Monocular Estimation of Body Orientation In the Wild. - Andrei Haidu, Michael Beetz:
Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration. - Mingfu Xue, Chengxiang Yuan, Can He, Jian Wang, Weiqiang Liu:
Robust and Natural Physical Adversarial Examples for Object Detectors. - Mingfu Xue, Chengxiang Yuan, Can He, Zhiyu Wu, Yushu Zhang, Zhe Liu, Weiqiang Liu:
Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks. - Mickael Tardy, Diana Mateus:
Lightweight U-Net for High-Resolution Breast Imaging. - Thomas Bendokat, Ralf Zimmermann, Pierre-Antoine Absil:
A Grassmann Manifold Handbook: Basic Geometry and Computational Aspects. - Maximilian Probst Gutenberg:
Near-Optimal Algorithms for Reachability, Strongly-Connected Components and Shortest Paths in Partially Dynamic Digraphs. - Mingfu Xue, Can He, Zhiyu Wu, Jian Wang, Zhe Liu, Weiqiang Liu:
3D Invisible Cloak. - Mustafa Karaca, Ugur Yayan:
ROS Based Visual Programming Tool for Mobile Robot Education and Applications. - Aishwarya Jadhav:
Detection of Malaria Vector Breeding Habitats using Topographic Models. - Haojing Shen, Sihong Chen, Ran Wang:
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks. - Alexis de Colnet, Stefan Mengel:
Lower Bounds for Approximate Knowledge Compilation. - Niladri Shekhar Dutt, Sunil Patel:
A study of traits that affect learnability in GANs. - Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang:
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game. - Aditya Jyoti Paul:
Recent Advances in Selective Image Encryption and its Indispensability due to COVID-19. - Aditya Jyoti Paul, Puranjay Mohan, Stuti Sehgal:
Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint. - Pegah Rokhforoz, Olga Fink:
Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition. - Arash Hooshmand:
Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles. - Fatemeh Teimury, Bruno Roy, Juan Sebastián Casallas, David MacDonald, Mark Coates:
GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping. - Rick Erkens, Maurice Laveaux:
Adaptive Non-linear Pattern Matching Automata. - Václav Kucera, Mária Lukácová-Medvid'ová, Sebastian Noelle, Jochen Schütz:
Asymptotic properties of a class of linearly implicit schemes for weakly compressible Euler equations. - Lyujie Chen, Xiaming Yuan, Yao Xiao, Yiding Zhang, Jihong Zhu:
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion. - Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut:
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. - Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov:
Image Generators with Conditionally-Independent Pixel Synthesis. - Hao Chen, Benoit Lagadec, François Brémond:
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification. - Tasos Spiliotopoulos, Ian Oakley:
An Integrated Approach Towards the Construction of an HCI Methodological Framework. - Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Robust Learning Model Predictive Control for Periodically Correlated Building Control. - Rachit Dubey, Erin Grant, Michael Luo, Karthik Narasimhan, Thomas L. Griffiths:
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. - Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang:
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds. - Tasos Spiliotopoulos, Ian Oakley:
Urban Twitter Networks and Communities: A Case Study of Microblogging in Athens. - Anton Cherepkov, Andrey Voynov, Artem Babenko:
Navigating the GAN Parameter Space for Semantic Image Editing. - Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong:
CASTELO: Clustered Atom Subtypes aidEd Lead Optimization - a combined machine learning and molecular modeling method. - Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics. - Vicente J. P. Amorim, Ricardo A. O. Oliveira, Maurício José da Silva:
Recent Trends in Wearable Computing Research: A Systematic Review. - Tasos Spiliotopoulos, Ian Oakley:
Post or Tweet: Lessons from a Study of Facebook and Twitter Usage. - HoseinAli Jafari Abeshoori, Seyed Saeed Azadfar:
Speed-Up Ramp-Counter ADC Using Locality Principle : A systematic analysis. - Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. - Victor Fragoso, Sudipta N. Sinha:
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints. - Aleix Roca Nonell, Vicenç Beltran Querol, Sergi Mateo Bellido:
Introducing the Task-Aware Storage I/O (TASIO) Library. - Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh:
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. - Nabarun Mondal, Mrunal Lohia:
Supervised Text Classification using Text Search. - Massimo Bartoletti, Letterio Galletta, Maurizio Murgia:
A theory of transaction parallelism in blockchains. - Elena Burceanu:
SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking. - James E. Smith:
A Temporal Neural Network Architecture for Online Learning. - Vieri Giuliano Santucci, Davide Montella, Bruno Castro da Silva, Gianluca Baldassarre:
Autonomous learning of multiple, context-dependent tasks. - Reza Maalek, Derek D. Lichti:
Robust Detection of Non-overlapping Ellipses from Points with Applications to Circular Target Extraction in Images and Cylinder Detection in Point Clouds. - Soheil Khatibi, Meisam Teimouri, Mahdi Rezaei:
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning. - Michal Lukasz Mika, Thomas Joseph Robert Hughes, Dominik Schillinger, Peter Wriggers, René Rinke Hiemstra:
A matrix-free isogeometric Galerkin method for Karhunen-Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature. - Dor Verbin, Todd E. Zickler:
Field of Junctions. - Felix Fiedler, Sergio Lucia:
A new perspective on data-enabled predictive control. - Emilio Cartoni, Davide Montella, Jochen Triesch, Gianluca Baldassarre:
An open-ended learning architecture to face the REAL 2020 simulated robot competition. - Clémentine Cottineau, Juste Raimbault, Pierre-Olivier Chasset, Hadrien Commenges, Arnaud Banos, Denise Pumain:
CybergeoNetworks, an interactive application for the geographical and semantic analysis of scientific publications. - Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed:
Offline Learning from Demonstrations and Unlabeled Experience. - Ivan Heibi, Silvio Peroni, Luca Pareschi, Paolo Ferri:
MITAO: a tool for enabling scholars in the Humanities to use Topic Modelling in their studies. - Michael Muratov, Sachkiran Kaur, Michael Szpakowicz:
Convolutional Neural Networks Towards Arduino Navigation of Indoor Environments. - Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso:
Efficient Scene Compression for Visual-based Localization. - Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti:
Skill Transfer via Partially Amortized Hierarchical Planning. - Robert J. Webber, David Aristoff, Gideon Simpson:
A splitting method to reduce MCMC variance. - Will Ma, Pan Xu:
Group-level Fairness Maximization in Online Bipartite Matching. - Mahmut Yurt, Muzaffer Özbey, Salman Ul Hassan Dar, Berk Tinaz, Kader Karli Oguz, Tolga Çukur:
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery. - Honglin Li, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill:
Machine learning for risk analysis of Urinary Tract Infection in people with dementia. - Jennifer J. Sun, Ann Kennedy, Eric Zhan, Yisong Yue, Pietro Perona:
Task Programming: Learning Data Efficient Behavior Representations. - Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet:
Unsupervised part representation by Flow Capsules. - Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez Opazo, Stephen Gould:
A Recurrent Vision-and-Language BERT for Navigation. - Shun Inagaki, Robert B. Ramirez, Masaki Shimaoka, Kenichi Magata:
Investigation on Research Ethics and Building a Benchmark. - Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. - Albert Pumarola, Enric Corona, Gerard Pons-Moll, Francesc Moreno-Noguer:
D-NeRF: Neural Radiance Fields for Dynamic Scenes. - Adarsha Balaji, Anup Das:
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. - Ozan Ciga, Anne L. Martel, Tony Xu:
Self supervised contrastive learning for digital histopathology. - Thomas Ma, Vijay Menon, Kate Larson:
Improving Welfare in One-sided Matching using Simple Threshold Queries. - Denis Newman-Griffis, Eric Fosler-Lussier:
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health. - Ivo Sluganovic, Enis Ulqinaku, Aritra Dhar, Daniele Lain, Srdjan Capkun, Ivan Martinovic:
IntegriScreen: Visually Supervising Remote User Interactions on Compromised Clients. - Bin Hu, Tua Agustinus Tamba:
Co-design of Optimal Transmission Power and Controller for Networked Control Systems Under State-dependent Markovian Channels. - Johannes Schneider, Michalis Vlachos:
Reflective-Net: Learning from Explanations. - Katelyn Morrison:
Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems. - Giuseppe Antonio Di Luna, Davide Italiano, Luca Massarelli, Sebastian Österlund, Cristiano Giuffrida, Leonardo Querzoni:
Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries. - Alexander Schein, Kevin T. Carlberg, Matthew J. Zahr:
Preserving general physical properties in model reduction of dynamical systems via constrained-optimization projection. - Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn, Wenhan Lu, David Berthelot, Izzeddin Gur, Pranav Khaitan, Ke-Wei Huang, Kyriacos Koupparis, Bernhard Kowatsch:
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques. - Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch, Frank Allgöwer:
Offset-free setpoint tracking using neural network controllers. - Andrea Tosatto, Georgios S. Misyris, Adrià Junyent-Ferré, Fei Teng, Spyros Chatzivasileiadis:
Towards Optimal Coordination between Regional Groups: HVDC Supplementary Power Control. - Udai G. Nagpal, David A. Knowles:
Active Learning in CNNs via Expected Improvement Maximization. - Alan Lindsay, Bart G. W. Craenen, Sara Dalzel-Job, Robin L. Hill, Ronald P. A. Petrick:
Investigating Human Response, Behaviour, and Preference in Joint-Task Interaction. - Peipei Lu, Andreas Rupp, Guido Kanschat:
HMG - Homogeneous multigrid for HDG. - Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian L. Price, Zhonghao Wang, Humphrey Shi:
Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach. - Bemali Wickramanayake, Dakshi Tharanga Kapugama Geeganage, Chun Ouyang, Yue Xu:
A Survey of Online Card Payment Fraud Detection using Data Mining-based Methods. - Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi:
General Multi-label Image Classification with Transformers. - Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit S. Dhillon:
Voting based ensemble improves robustness of defensive models. - Sebastiano Barbieri, Suneela Mehta, Billy Wu, Chrianna Bharat, Katrina Poppe, Louisa Jorm, Rod Jackson:
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach. - Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula:
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. - Dimitrios Chamzas, Constantinos Chamzas, Konstantinos Moustakas:
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope. - Jussi Karlgren, Renee Li, Eva M. Meyersson Milgrom:
Text Mining for Processing Interview Data in Computational Social Science. - Samuel Stevens, Yu Su:
Understanding How BERT Learns to Identify Edits. - Deng Su, Dehong Chong:
A RGB-D SLAM Algorithm for Indoor Dynamic Scene. - Eng Leong Tan:
Fundamental Schemes for Efficient Unconditionally Stable Implicit Finite-Difference Time-Domain Methods. - Tiago Lopes Soares:
A Deductive Verification Framework For Higher Order Programs. - Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Generalized Adversarial Examples: Attacks and Defenses. - Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao:
Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding. - Amrith Setlur, Oscar Li, Virginia Smith:
Is Support Set Diversity Necessary for Meta-Learning? - Jing Li, Dongning Guo, Ling Ren:
Close Latency-Security Trade-off for the Nakamoto Consensus. - Junru Wu, Xiang Yu, Buyu Liu, Zhangyang Wang, Manmohan Chandraker:
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing. - Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang:
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. - Yanhong A. Liu, Matthew Castellana:
Discrete Math with Programming: A Principled Approach. - Xiaolei Fang, Renjie Jin, Jinquan Luo, Wen Ma:
New Galois Hulls of GRS Codes and Application to MDS EAQECCs. - Xuehai Huang, Yuling Shi, Wenqing Wang:
A Morley-Wang-Xu element method for a fourth order elliptic singular perturbation problem. - Pantea Kiaei, Cees-Bart Breunesse, Mohsen Ahmadi, Patrick Schaumont, Jasper Van Woudenberg:
Rewrite to Reinforce: Rewriting the Binary to Apply Countermeasures against Fault Injection. - Xiaozhong Xu, Shan Liu:
Overview of Screen Content Coding in Recently Developed Video Coding Standards. - Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu, Rodney Rountree, Fabio De Leo:
Movement Tracks for the Automatic Detection of Fish Behavior in Videos. - Animesh Yadav, Chen Quan, Pramod K. Varshney, H. Vincent Poor:
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes. - Benjamin Laufer:
Feedback Effects in Repeat-Use Criminal Risk Assessments. - Sambaran Bandyopadhyay, Vishal Peter:
Self-Expressive Graph Neural Network for Unsupervised Community Detection. - Ke Shen, Mayank Kejriwal:
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. - Ching-Chia Kao, Jhe-Bang Ko, Chun-Shien Lu:
Deterministic Certification to Adversarial Attacks via Bernstein Polynomial Approximation. - Paul Wimmer, Jens Mehnert, Alexandru Condurache:
FreezeNet: Full Performance by Reduced Storage Costs. - Tao Xiong, Wenjun Sun, Yi Shi, Peng Song:
High order asymptotic preserving discontinuous Galerkin methods for gray radiative transfer equations. - Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. - Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer:
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. - Ali Gholami, Hossein S. Aghamiry, Stéphane Operto:
Extended full waveform inversion in the time domain by the augmented Lagrangian method. - Alexander A. Zlotnik, Olga Kireeva:
On compact 4th order finite-difference schemes for the wave equation. - Chongzhi Wang, Lulu Pan, Haibin Shao, Dewei Li, Yugeng Xi:
Characterizing Bipartite Consensus with Balancing Set on Signed Matrix-weighted Networks. - Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. - Umberto Martínez-Peñas:
A general family of MSRD codes and PMDS codes with smaller field sizes from extended Moore matrices. - Johannes Klicpera, Shankari Giri, Johannes T. Margraf, Stephan Günnemann:
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules. - Thomas Sutter:
Simple Spyware: Androids Invisible Foreground Services and How to (Ab)use Them. - Zhe Chu, Mengkai Hu, Xiangyu Chen:
Robotic grasp detection using a novel two-stage approach. - Edward Lockhart, Neil Burch, Nolan Bard, Sebastian Borgeaud, Tom Eccles, Lucas Smaira, Ray Smith:
Human-Agent Cooperation in Bridge Bidding. - Zakaria Mhammedi, Hisham Husain:
Risk-Monotonicity via Distributional Robustness. - Mohit Lamba, Atul Balaji, Kaushik Mitra:
Towards Fast and Light-Weight Restoration of Dark Images. - Huu Phuoc Le, Mohab Safey El Din:
Solving parametric systems of polynomial equations over the reals through Hermite matrices. - Abdul Wahab, Muhammad Anas Tahir, Naveed Iqbal, Faisal Shafait, Syed Muhammad Raza Kazmi:
Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small Datasets. - Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka:
AdaBins: Depth Estimation using Adaptive Bins. - Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed Elgharib, Daniel Cremers, Christian Theobalt:
i3DMM: Deep Implicit 3D Morphable Model of Human Heads. - Spyros Angelopoulos, Malachi Voss:
Online Search with Maximum Clearance. - Richard Archibald, Feng Bao, Yanzhao Cao, He Zhang:
Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle. - Isa Inuwa-Dutse:
Towards Combating Pandemic-related Misinformation in Social Media. - Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung, Richard M. Murray:
Rules of the Road: Towards Safety and Liveness Guarantees for Autonomous Vehicles. - Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille:
Batch Normalization with Enhanced Linear Transformation. - Rui Morais, Paul Andrew Crocker, Simão Melo de Sousa:
Delegated RingCT: faster anonymous transactions. - Steve Isaac, Delaram Kahrobaei:
A Closer Look at the Tropical Cryptography. - Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. - Massimo Bartoletti, Stefano Lande, Maurizio Murgia, Roberto Zunino:
Verification of recursive Bitcoin contracts. - Pouya Aminaie, Poorya Aminaie:
Profinet vs Profibus. - Jiaxin Zhang, Congjie Wei, Chenglin Wu:
Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics. - Sirui Bi, Jiaxin Zhang, Guannan Zhang:
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials. - Alberto Poncelas, Jan Buts, James Hadley, Andy Way:
Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality. - Palash Dey, Arnab Maiti, Amatya Sharma:
On Parameterized Complexity of Liquid Democracy. - Wen-Hua Chen:
Model Predictive Control with and without Terminal Weight: Stability and Algorithms. - Truong Thu Huong, Phuong Bac Ta, Dao Minh Long, Bui Doan Thang, Nguyen T. Binh, Tran Duc Luong, Kim Phuc Tran:
LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing. - Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault:
Recursive Association Rule Mining. - Sandesh Ramesh, Manoj Kumar M. V, H. A. Sanjay:
E-Pro: Euler Angle and Probabilistic Model for Face Detection and Recognition. - Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei:
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. - Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan:
Class-agnostic Object Detection. - Zhenjia Xu, Beichun Qi, Shubham Agrawal, Shuran Song:
AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy. - Philippe Barbe, Antonio Cicone, Wing Suet Li, Haomin Zhou:
Time-frequency representation of nonstationary signals: the FIFogram. - Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. - Yuxuan Yu, Xiaodong Wei, Angran Li, Jialei Ginny Liu, Jeffrey He, Yongjie Jessica Zhang:
HexGen and Hex2Spline: Polycube-based Hexahedral Mesh Generation and Spline Modeling for Isogeometric Analysis Applications in LS-DYNA. - Anadi Chaman, Ivan Dokmanic:
Truly shift-invariant convolutional neural networks. - Debayan Deb, Xiaoming Liu, Anil K. Jain:
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images. - Dor Farbiash, Rami Puzis:
Cyberbiosecurity: DNA Injection Attack in Synthetic Biology. - Youjun Deng, Hongyu Liu, Xianchao Wang, Dong Wei, Liyan Zhu:
Simultaneous recovery of surface heat flux and thickness of a solid structure by ultrasonic measurements. - Vishal Ramadoss, Keerthi Sagar, Mohamed Sadiq Ikbal, Jesus Hiram Lugo Calles, Matteo Zoppi:
HEDRA: A Bio-Inspired Modular Tensegrity Soft Robot With Polyhedral Parallel Modules. - Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze:
Srift: Swift and Thrift Cloud-Based Distributed Training. - Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush:
Latent Template Induction with Gumbel-CRFs. - Elana Kozak, Scott Hottovy:
Monte Carlo Tree Search for a single target search game on a 2-D lattice. - Benjamin Jones, Sheik Ahmed Ullah, Siwen Wang, Shan Zhao:
Adaptive pseudo-time methods for the Poisson-Boltzmann equation with Eulerian solvent excluded surface. - Kamyar Azizzadenesheli:
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift. - Juntao Chen, Yunhan Huang, Rui Zhang, Quanyan Zhu:
Optimal Quarantining Strategy for Interdependent Epidemics Spreading over Complex Networks. - Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Wesley Suttle, Vijay Gupta, J. Liu:
Reinforcement Learning based Distributed Control of Dissipative Networked Systems. - Hongseok Namkoong, Samuel Daulton, Eytan Bakshy:
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning. - Qiwen Cui, Lin F. Yang:
Minimax Sample Complexity for Turn-based Stochastic Game. - Chongzhen Zhang, Yang Tang, Chaoqiang Zhao, Qiyu Sun, Zhencheng Ye, Jürgen Kurths:
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency. - Zhiruo Wang, Renfen Hu:
Intrinsic Knowledge Evaluation on Chinese Language Models. - Sudhir Kumar Suman, Hrithwik Shalu, Lakshya A. Agrawal, Archit Agrawal, Juned Kadiwala:
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media. - Changxi Zhu, Ho-fung Leung, Shuyue Hu, Yi Cai:
A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint. - Sergey Bereg, Mohammadreza Haghpanah:
Constructing Order Type Graphs using an Axiomatic Approach. - Sami Ouali:
Resolving code smells in software product line using refactoring and reverse engineering. - Girisha S, Ujjwal Verma, M. M. Manohara Pai, Radhika M. Pai:
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information. - (Withdrawn) Deeper or Wider Networks of Point Clouds with Self-attention?
- Yutong Dai, Hao Lu, Chunhua Shen:
Learning Affinity-Aware Upsampling for Deep Image Matting. - Lei Wang, Yuchun Huang, Pengjie Tao, Yaolin Hou, Yuxuan Liu:
Learning geometry-image representation for 3D point cloud generation. - Amit Levi, Ramesh Krishnan S. Pallavoor, Sofya Raskhodnikova, Nithin Varma:
Erasure-Resilient Sublinear-Time Graph Algorithms. - Meiqi Guo, Rebecca Hwa, Yu-Ru Lin, Wen-Ting Chung:
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models. - Wenbo Zhu, Mou Wang, Xiao-Lei Zhang, Susanto Rahardja:
A comparison of handcrafted, parameterized, and learnable features for speech separation. - Alphin J. Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan:
A method for large diffeomorphic registration via broken geodesics. - Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng:
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images. - Yo Mitani, Naoki Kobayashi, Takeshi Tsukada:
A Probabilistic Higher-order Fixpoint Logic. - Ryoya Katafuchi, Terumasa Tokunaga:
Image-based plant disease diagonasis with unsupervised anomaly detection based on reconstructability of colors. - Adrian Prochaska, Julien Pillas, Bernard Bäker:
Active Output Selection Strategies for Multiple Learning Regression Models. - Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. - Soliman Aljarboa, Shah Jahan Miah:
Assessing the Acceptance of Clinical Decision Support Tools using an Integrated Technology Acceptance Model. - Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi, Srikanta Bedathur:
FROCC: Fast Random projection-based One-Class Classification. - Jiahang Xie, Yu Weng, Hung D. Nguyen:
A Framework for Health-informed RUL-constrained Optimal Power Flow with Li-ion Batteries. - Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi:
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes. - Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh, Roland Molontay:
Dank or Not? - Analyzing and Predicting the Popularity of Memes on Reddit. - Yanping Chen, Lefei Wu, Liyuan Deng, Yongbin Qing, Ruizhang Huang, Qinghua Zheng, Ping Chen:
A Boundary Regressing Model for Nested Named Entity Recognition. - Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou:
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. - Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Bo Xu:
Audio-visual Speech Separation with Adversarially Disentangled Visual Representation. - Gang Hu, Kejun Wang, Liangliang Liu:
An Features Extraction and Recognition Method for Underwater Acoustic Target Based on ATCNN. - Chase Ford, Stefan Milius, Lutz Schröder:
Behavioural Preorders via Graded Monads. - Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. - Lukas Aumayr, Esra Ceylan, Matteo Maffei, Pedro Moreno-Sanchez, Iosif Salem, Stefan Schmid:
Demand-Aware Payment Channel Networks. - Tien-Cuong Bui, Van-Duc Le, Hai-Thien To, Sang-Kyun Cha:
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. - Dave Cliff, Michael Rollins:
Methods Matter: A Trading Agent with No Intelligence Routinely Outperforms AI-Based Traders. - Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li:
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks. - Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu:
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding. - Jinlin Lai, Lixin Zou, Jiaxing Song:
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies. - Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo:
A Targeted Universal Attack on Graph Convolutional Network. - Sarah, S. Sidhartha Narayan, Irfaan Arif, Hrithwik Shalu, Juned Kadiwala:
A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques. - Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain, Susan Amin, Samira Ebrahimi Kahou:
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks. - Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken:
Constraining Volume Change in Learned Image Registration for Lung CTs. - Xuewen Qian, Marco Di Renzo:
Mutual Coupling and Unit Cell Aware Optimization for Reconfigurable Intelligent Surfaces. - Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir:
Offline Reinforcement Learning Hands-On. - Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius:
Self-supervised Visual Reinforcement Learning with Object-centric Representations. - Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu:
Sequential Fair Allocation of Limited Resources under Stochastic Demands. - Btool Hamoui, Abdulaziz Alashaikh, Eisa Alanazi:
Google Searches and COVID-19 Cases in Saudi Arabia: A Correlation Study. - Rob Weston, Oiwi Parker Jones, Ingmar Posner:
There and Back Again: Learning to Simulate Radar Data for Real-World Applications. - Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam:
Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. - Shin Hwei Tan, Chunfeng Hu, Ziqiang Li, Xiaowen Zhang, Ying Zhou:
GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course. - Vida Fathi, Jalal Arabneydi, Amir G. Aghdam:
Reinforcement Learning in Linear Quadratic Deep Structured Teams: Global Convergence of Policy Gradient Methods. - Lennart Schäpermeier, Christian Grimme, Pascal Kerschke:
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes. - Phong Nguyen, Animesh Karnewar, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
RGBD-Net: Predicting color and depth images for novel views synthesis. - Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
A Socially-Efficient Emerging Mobility Market. - Stefan Hoffmann:
State Complexity of the Set of Synchronizing Words for Circular Automata and Automata over Binary Alphabets. - A. Leitao:
Applications of the Backus-Gilbert method to linear and some non linear equations. - Adi Ditkowski, Anne Le Blanc, Chi-Wang Shu:
Error Inhibiting Methods for Finite Elements. - Juan Isern, Francisco Barranco, Daniel Deniz, Juho Lesonen, Jari Hannuksela, Richard R. Carrillo:
Reconfigurable Cyber-Physical System for Critical Infrastructure Protection in Smart Cities via Smart Video-Surveillance. - Abu Md Niamul Taufique, Andreas E. Savakis:
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification. - Weijun Luo:
Improving Neural Network with Uniform Sparse Connectivity. - Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier:
Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. - George Cazenavette, Calvin Murdock, Simon Lucey:
Architectural Adversarial Robustness: The Case for Deep Pursuit. - A. Leitao:
An iterative method for solving elliptic Cauchy problems. - Tanvir Ahamed, Bo Zou, Nahid Parvez Farazi, Theja Tulabandhula:
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration. - George Christodoulou, Elias Koutsoupias, Annamária Kovács:
On the Nisan-Ronen conjecture. - Sam Greydanus:
Scaling *down* Deep Learning. - Johann Baumeister, Antonio Leitão:
On iterative methods for solving ill-posed problems modeled by PDE's. - Gauri Deshpande, Björn W. Schuller:
Audio, Speech, Language, & Signal Processing for COVID-19: A Comprehensive Overview. - Sagnik Das, Hassan Ahmed Sial, Ke Ma, Ramon Baldrich, María Vanrell, Dimitris Samaras:
Intrinsic Decomposition of Document Images In-the-Wild. - Mohamed Sayed, Gabriel J. Brostow:
Improved Handling of Motion Blur in Online Object Detection. - Noah Brüstle, Tal Elbaz, Hamed Hatami, Onur Kocer, Bingchan Ma:
Approximation algorithms for hitting subgraphs. - Frédéric Champagnat, Cédric Herzet:
Translation-invariant interpolation of parametric dictionaries. - Yichen Zhang, Feng Qiu, Tianqi Hong, Zhaoyu Wang, Fangxing Li:
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems. - Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li:
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation. - Joshua Sobel, Noah Bertram, Chen Ding, Fatemeh Nargesian, Daniel Gildea:
AWLCO: All-Window Length Co-Occurrence. - Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen:
Conditional Link Prediction of Category-Implicit Keypoint Detection. - Neeraj Kumar, Daniel Lokshtanov, Saket Saurabh, Subhash Suri:
A Constant Factor Approximation for Navigating Through Connected Obstacles in the Plane. - Rafael Belchior, Sérgio Guerreiro, André Vasconcelos, Miguel Correia:
A Survey on Business Process View Integration. - Cody H. Fleming, Carl R. Elks, Georgios Bakirtzis, Stephen C. Adams, Bryan T. Carter, Peter A. Beling, Barry M. Horowitz:
Cyber-Physical Security Through Resiliency: A Systems-centric Approach. - Gabriel S. Gusmão, Adhika P. Retnanto, Shashwati C. da Cunha, Andrew J. Medford:
Kinetics-Informed Neural Networks. - Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza:
An artificial consciousness model and its relations with philosophy of mind. - Mario Alvarez-Picallo, C.-H. Luke Ong:
The Difference Lambda-Calculus: A Language for Difference Categories. - Hubert Lin, Mitchell van Zuijlen, Sylvia C. Pont, Maarten W. A. Wijntjes, Kavita Bala:
What Can Style Transfer and Paintings Do For Model Robustness? - Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. - Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen:
Multi-scale Adaptive Task Attention Network for Few-Shot Learning. - Bas Ketsman, Dan Suciu, Yufei Tao:
A Near-Optimal Parallel Algorithm for Joining Binary Relations. - Benoit Steiner, Chris Cummins, Horace He, Hugh Leather:
Value Function Based Performance Optimization of Deep Learning Workloads. - Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. - Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Marc T. Law:
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning. - Saliha Muradoglu, Nicholas Evans, Ekaterina Vylomova:
Modelling Verbal Morphology in Nen. - Nello Blaser, Erlend Raa Vågset:
Homology Localization Through the Looking-Glass of Parameterized Complexity Theory. - Elita A. Lobo, Mohammad Ghavamzadeh, Marek Petrik:
Soft-Robust Algorithms for Handling Model Misspecification. - Yikai Wang, Weijian Li:
Blind signal decomposition of various word embeddings based on join and individual variance explained. - Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes:
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. - Abhiroop Bhattacharjee, Priyadarshini Panda:
SwitchX- Gmin-Gmax Switching for Energy-Efficient and Robust Implementation of Binary Neural Networks on Memristive Xbars. - Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia:
End-to-End Video Instance Segmentation with Transformers. - Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and Inference for Integer-Based Semantic Segmentation Network. - Cheng Wang, Jilu Wang, Zeyu Xia, Liwei Xu:
A decoupled scheme with second-order temporal accuracy for magnetohydrodynamic equations. - Hangsong Yan, Alexei Ashikhmin, Hong Yang:
Optimally Supporting IoT with Cell-Free Massive MIMO. - Richard Garner:
The costructure-cosemantics adjunction for comodels for computational effects. - Greg Yang, J. Edward Hu:
Feature Learning in Infinite-Width Neural Networks. - Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Inter-layer Transition in Neural Architecture Search. - Liang Yu, Zhen Gao, Shuqi Qin, Meng Zhang, Chao Shen, Xiaohong Guan, Dong Yue:
Deep Reinforcement Learning for Smart Grid Protection Against Coordinated Multistage Transmission Line Attacks. - Konstantin Makarychev, Miklós Z. Rácz, Cyrus Rashtchian, Sergey Yekhanin:
Batch Optimization for DNA Synthesis. - Sarah Radway, Anthony Luo, Carmine Elvezio, Jenny Cha, Sophia Kolak, Elijah Zulu, Sad Adib:
Beyond LunAR: An augmented reality UI for deep-space exploration missions. - Shuhao Cui, Xuan Jin, Shuhui Wang, Yuan He, Qingming Huang:
Heuristic Domain Adaptation. - Carmen Chan-Zheng, Pablo Borja, Nima Monshizadeh, Jacquelien M. A. Scherpen:
Exponential Stability and Tuning for a Class of Mechanical Systems. - Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. - Jeong-Hoe Ku, Jihun Oh, Young-Yoon Lee, Gaurav Pooniwala, SangJeong Lee:
A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models. - Yuan Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang:
Learnable Motion Coherence for Correspondence Pruning. - Zerong Zheng, Tao Yu, Qionghai Dai, Yebin Liu:
Deep Implicit Templates for 3D Shape Representation. - Yang Cai, Grigoris Velegkas:
How to Sell Information Optimally: an Algorithmic Study. - Farhad Farokhi:
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning. - Sudarshan Mukherjee, Ribhu Chopra:
Performance Analysis of Cell Free Massive MIMO systems in LoS/ NLoS Channels. - Yufei Xu, Jing Zhang, Stephen J. Maybank, Dacheng Tao:
DUT: Learning Video Stabilization by Simply Watching Unstable Videos. - Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho:
A Survey on Centrality Metrics and Their Implications in Network Resilience. - Stone Yun, Alexander Wong:
Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks. - Zhijian Qiao, Zhe Liu, Chuanzhe Suo, Huanshu Wei, Zhuowen Shen, Hesheng Wang:
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences. - Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Thao Nguyen:
Robust and Private Learning of Halfspaces. - Sung Hyuck Hong, Sucheol Kim, Junil Choi, Wan Choi:
Polar-Cap Codebook Design for MISO Rician Fading Channels with Limited Feedback. - Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. - Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition. - Stone Yun, Alexander Wong:
FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints. - Binjie Li:
Discretization of a distributed control problem with a stochastic parabolic equation driven by multiplicative noise. - Tianze Gao, Huihui Pan, Huijun Gao:
Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation. - Ziyang Wu, Christina Baek, Chong You, Yi Ma:
Incremental Learning via Rate Reduction. - Tianze Gao, Huihui Pan, Zidong Wang, Huijun Gao:
A CRF-based Framework for Tracklet Inactivation in Online Multi-Object Tracking. - Yanming Yang, Xin Xia, David Lo, John C. Grundy:
A Survey on Deep Learning for Software Engineering. - Chen Zhao, Ali K. Thabet, Bernard Ghanem:
Video Self-Stitching Graph Network for Temporal Action Localization. - Jianyu Jiang, Claudio Soriente, Ghassan Karame:
Monitoring Performance Metrics is not Enough to Detect Side-Channel Attacks on Intel SGX. - Sandesh Ramesh, Manoj Kumar M. V, K. Aditya Shastry:
REaL: Real-time Face Detection and Recognition Using Euclidean Space and Likelihood Estimation. - Jae-Yeong Lee:
Zero-Shot Calibration of Fisheye Cameras. - Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. - Kanghong Shi, Ian R. Petersen, Igor G. Vladimirov:
Robust Output Feedback Consensus for Networked Heterogeneous Nonlinear Negative-Imaginary Systems with Free Body Motion. - Jinlong Fan, Jing Zhang, Dacheng Tao:
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses. - Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo:
SoMin.ai: Personality-Driven Content Generation Platform. - André Greiner-Petter:
Automatic Mathematical Information Retrieval to Perform Translations up to Computer Algebra Systems. - Jinyi Wang, Yican Sun, Hongfei Fu, Amir Kafshdar Goharshady, Krishnendu Chatterjee:
Quantitative Analysis of Assertion Violations in Probabilistic Programs. - Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari, Mayank Singh:
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information. - Zhaoqi Su, Tao Yu, Yangang Wang, Yipeng Li, Yebin Liu:
DeepCloth: Neural Garment Representation for Shape and Style Editing. - Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-based Regression for Future Prediction. - Markus Hegland, Frank de Hoog:
Low rank approximation of positive semi-definite symmetric matrices using Gaussian elimination and volume sampling. - Yuemei Zhou, Gaochang Wu, Ying Fu, Kun Li, Yebin Liu:
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images. - Nina Mazyavkina, Samir Mohamed, Ilya Trofimov, Evgeniy Burnaev:
Optimizing the Neural Architecture of Reinforcement Learning Agents. - Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie:
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. - Xiaochen Zhao, Zerong Zheng, Chaonan Ji, Zhenyi Liu, Yirui Luo, Tao Yu, Jin-Li Suo, Qionghai Dai, Yebin Liu:
Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping. - Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan:
Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA. - Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. - Janamejaya Channegowda, Najath Abdul Azeez, Sheldon S. Williamson:
Carrier-Based Modulation Schemes Based on Symmetric Switching Patterns for Three-Phase Three-Switch Rectifier. - Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu:
SplitNet: Divide and Co-training. - Seira Hidano, Yusuke Kawamoto, Takao Murakami:
TransMIA: Membership Inference Attacks Using Transfer Shadow Training. - Han-Jia Ye, Lu Han, De-Chuan Zhan:
Revisiting Unsupervised Meta-Learning: Amplifying or Compensating for the Characteristics of Few-Shot Tasks. - Isma Hadji, Richard P. Wildes:
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support. - Longyao Liu, Bo Ma, Yulin Zhang, Xin Yi, Haozhi Li:
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection. - Yiming Wang, Alessio Del Bue:
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration. - Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. - Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, Cewu Lu:
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation. - Ashita Victor, Abhay Shankar Jha, Janamejaya Channegowda, Sumukh Surya, Kali Vara Prasad Naraharisetti:
Thermal Analysis of PEM Fuel Cell and Lithium Ion Battery Pack in Confined Space. - Ondrej Prazák, Pavel Pribán, Stephen Taylor:
UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation. - Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn:
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. - Simone Angarano, Vittorio Mazzia, Francesco Salvetti, Giovanni Fantin, Marcello Chiaberge:
Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge. - A. Leitao:
Mean value methods for solving the heat equation backwards in time. - Guido Montúfar, Nina Otter, Yuguang Wang:
Can neural networks learn persistent homology features? - Het Shah, Avishree Khare, Neelay Shah, Khizir Siddiqui:
KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and Quantization. - Yutong Jiang, Gang Wu, Long Jiang:
A Kaczmarz Method with Simple Random Sampling for Solving Large Linear Systems. - Risheng Huang, Li Shen, Xuan Wang, Cheng Lin, Hao-Zhi Huang:
Adaptive Compact Attention For Few-shot Video-to-video Translation. - Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
On Initial Pools for Deep Active Learning. - Pranay Seshadri, Andrew B. Duncan, George Thorne, Geoffrey T. Parks, Mark Girolami:
Bayesian Assessments of Aeroengine Performance. - Mostafa Haghi Kashani, Ahmad Ahmadzadeh, Ebrahim Mahdipour:
Load balancing mechanisms in fog computing: A systematic review. - Chuang Yang, Zhitong Xiong, Mulin Chen, Qi Wang, Xuelong Li:
BOTD: Bold Outline Text Detector. - Júlio Araújo, Alexandre A. Cezar, Carlos V. G. C. Lima, Vinícius Fernandes dos Santos, Ana Silva:
On the proper orientation number of chordal graphs. - Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano:
Probabilistic Load Forecasting Based on Adaptive Online Learning. - Moses Charikar, Shivam Garg, Deborah M. Gordon, Kirankumar Shiragur:
A Model for Ant Trail Formation and its Convergence Properties. - Dvir Ginzburg, Dan Raviv:
Dual Geometric Graph Network (DG2N) - Zero-Shot Refinement for Dense Shape Correspondence. - Daniel Neuen:
Isomorphism Testing for Graphs Excluding Small Topological Subgraphs. - Maryam Songhorabadi, Morteza Rahimi, Amir Mahdi Moghaddam Farid, Mostafa Haghi Kashani:
Fog Computing Approaches in Smart Cities: A State-of-the-Art Review. - Shun Watanabe:
Minimax Converse for Identification via Channels. - Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner:
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. - Weicong Chen, Chao-Kai Wen, Xiao Li, Shi Jin:
Adaptive Bit Partitioning for Reconfigurable Intelligent Surface Assisted FDD Systems with Limited Feedback. - Matús Sulír:
Toward a Benchmark Repository for Software Maintenance Tool Evaluations with Humans. - Alok Singh, Thoudam Doren Singh, Sivaji Bandyopadhyay:
A Comprehensive Review on Recent Methods and Challenges of Video Description. - Vasiliy Stanislavovich Usatyuk:
Topologically Driven Methods for Construction Of Multi-Edge Type (Multigraph with nodes puncturing) Quasi-Cyclic Low-density Parity-check Codes for Wireless Channel, WDM Long-Haul and Archival Holographic Memory. - Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Ebrahim Mahdipour:
Twitter Spam Detection: A Systematic Review. - Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna:
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. - Fei Liu, Zhengdao Yuan, Qinghua Guo, Zhongyong Wang:
Message Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts. - Tony Lindeberg:
Scale-covariant and scale-invariant Gaussian derivative networks. - Oleg Voynov, Aleksandr Safin, Savva Ignatyev, Evgeny Burnaev:
How Good MVSNets Are at Depth Fusion. - Kevin Weinberger, Alaa Alameer Ahmad, Aydin Sezgin:
On Synergistic Benefits of Rate Splitting in IRS-assisted Cloud Radio Access Networks. - Peter Bellmann, Heinke Hihn, Daniel A. Braun, Friedhelm Schwenker:
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts. - Santu Sardar, Amit Kumar Mishra, Mohammed Zafar Ali Khan:
Crowd Size using CommSense Instrument for COVID-19 Echo Period. - Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen:
NOMA in UAV-aided cellular offloading: A machine learning approach. - Zhendong Li, Wen Chen, Qingqing Wu:
Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks. - Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot:
Data-Free Model Extraction. - Yan Yang, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation. - Michal Pándy, Daniel Lenton, Ronald Clark:
Learning To Find Shortest Collision-Free Paths From Images. - Igor Konnov, Marijana Lazic, Ilina Stoilkovska, Josef Widder:
Survey on Parameterized Verification with Threshold Automata and the Byzantine Model Checker. - Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald:
NeuralFusion: Online Depth Fusion in Latent Space. - Adam Barker, Martin Swany:
Energy Aware Routing with Computational Offloading for Wireless Sensor Networks. - Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. - Guilherme de C. M. Gomes, Vinícius Fernandes dos Santos:
On structural parameterizations of the selective coloring problem. - Vipin Singh Sehrawat, Foo Yee Yeo, Yvo Desmedt:
Extremal Set Theory and LWE Based Access Structure Hiding Verifiable Secret Sharing with Malicious Majority and Free Verification. - Miguel Alvarez, Chu Xu, Manuel A. Rodriguez, Abdullah Al-Mamun, Mohamed Wahba, Sean Brennan, Hosam K. Fathy:
Reducing Road Vehicle Fuel Consumption by Exploiting Connectivity and Automation: A Literature Survey. - Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI To Edge: From Deep Learning's Perspective. - Gal Lifshitz, Dan Raviv:
Unsupervised Optical Flow Using Cost Function Unrolling. - Ignacio Amores-Sesar, Christian Cachin, Jovana Micic:
Security Analysis of Ripple Consensus. - Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Ahmet Çamtepe:
Advancements of federated learning towards privacy preservation: from federated learning to split learning. - Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain:
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves. - Nicolas Brodu, James P. Crutchfield:
Discovering Causal Structure with Reproducing-Kernel Hilbert Space ε-Machines. - Wenyu Zhao, Teli Ma, Xuan Gong, Baochang Zhang, David S. Doermann:
A Review of Recent Advances of Binary Neural Networks for Edge Computing. - Yixian Wu:
App Limits Bar: A Progress of App Limits for Overcoming Smartphone Overuse. - Johan S. Obando-Ceron, Pablo Samuel Castro:
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research. - Elisabetta Vallarino, Michele Piana, Alberto Sorrentino, Sara Sommariva:
The role of spectral complexity in connectivity estimation. - Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. - Wei-Chang Yeh:
Novel Bounded Binary-Addition Tree Algorithm for Binary-State Network Reliability Problems. - Taqwa Saeed, Sergi Abadal, Christos Liaskos, Andreas Pitsillides, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Marios Lestas, Eduard Alarcón:
Workload Characterization of Programmable Metasurfaces. - Wei-Chang Yeh:
A new BAT for Acyclic Multistate Information Network Reliability Evaluation. - Baldomero Coll-Perales, Gokulnath Thandavarayan, Miguel Sepulcre, Javier Gozálvez:
Context-based Broadcast Acknowledgement for Enhanced Reliability of Cooperative V2X Messages. - Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. - Emilio Calvanese Strinati, Sergio Barbarossa:
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications. - Kirill Krinkin, Igor Dronnikov:
Media Content Delivery Protocols Performance and Reliability Evaluation in Cellular Mobile Networks. - Mahmoud Khaled, Kuize Zhang, Majid Zamani:
Output-Feedback Symbolic Control. - Márcia R. Cappelle, Guilherme de C. M. Gomes, Vinícius Fernandes dos Santos:
Parameterized algorithms for locating-dominating sets. - Olga Martynova, Alexander Okhotin:
State complexity of halting, returning and reversible graph-walking automata. - Puranjay Mohan, Aditya Jyoti Paul, Abhay Chirania:
A Tiny CNN Architecture for Medical Face Mask Detection for Resource-Constrained Endpoints. - Derek Lim, René Vidal, Benjamin D. Haeffele:
Doubly Stochastic Subspace Clustering. - Martin Grohe, Peter Lindner:
Standard Probabilistic Databases. - Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. - Luis Felipe M. O. Henriques, Eduardo Morgan, Sérgio Colcher, Ruy Luiz Milidiú:
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring. - Yanyang Li, Yingfeng Luo, Ye Lin, Quan Du, Huizhen Wang, Shujian Huang, Tong Xiao, Jingbo Zhu:
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction. - Ian Covert, Scott M. Lundberg, Su-In Lee:
Explaining by Removing: A Unified Framework for Model Explanation. - Bojun Ouyang, Dan Raviv:
Occlusion Guided Scene Flow Estimation on 3D Point Clouds. - Youngki Kwon, Hee Soo Heo, Jaesung Huh, Bong-Jin Lee, Joon Son Chung:
Look who's not talking. - Niko A. Grupen, Daniel D. Lee, Bart Selman:
Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems. - Subhitcha Ramkumar, Hazem A. Abdelghany, Simon H. Tindemans:
Coordination of Heterogeneous Deferrable Loads using the F-MBC Mechanism. - Annika Lindh, Robert J. Ross, John D. Kelleher:
Language-Driven Region Pointer Advancement for Controllable Image Captioning. - Hemant Gehlot, Shreyas Sundaram, Satish V. Ukkusuri:
Algorithms for Influence Maximization in Socio-Physical Networks. - Xinyang Liu, Pingfeng Wang, Esra Büyüktahtakin Toy, Zhi Zhou:
Battery Asset Management with Cycle Life Prognosis. - Júlio C. S. Jacques Júnior, Àgata Lapedriza, Cristina Palmero, Xavier Baró, Sergio Escalera:
Person Perception Biases Exposed: Revisiting the First Impressions Dataset. - Manoj Bhat, Jonathan Francis, Jean Oh:
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving. - Carlos Leandro Gomes Batista, Tânia Basso, Fátima Mattiello-Francisco, Regina Moraes:
Impacts of the Space Technology Evolution in the V\&V of Embedded Software-Intensive Systems. - Muhammad Umer, Robi Polikar:
Comparative Analysis of Extreme Verification Latency Learning Algorithms. - Calin-Ioan Gheorghiu:
Accurate Spectral Collocation Computation of High Order Eigenvalues for Singular Schrödinger Equations. - Hanwen Miao, Shengan Zhang, Carol A. C. Flannagan:
Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets. - Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. - William Marshall, Nolan Miranda, Albert Zuo:
Windowed Prophet Inequalities. - Yunhui Zheng, Sahil Suneja, Yufan Zhuang, Alessandro Morari, Jim Laredo:
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization. - Yi Wang, Zhen-Peng Bian, Yunhao Zhou, Lap-Pui Chau:
Rethinking and Designing a High-performing Automatic License Plate Recognition Approach. - Julian N. Betge, Barbera Droste, Jacco Heres, Simon H. Tindemans:
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method. - Stephan Scholz, Lothar Berger:
Modeling of a multiple source heating plate. - Lu Liu, Sicong Zhou, Huawei Huang, Zibin Zheng:
From Technology to Society: An Overview of Blockchain-based DAO. - Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala I. Al-Fuqaha:
Floods Detection in Twitter Text and Images. - Firoj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala I. Al-Fuqaha:
Flood Detection via Twitter Streams using Textual and Visual Features. - Yongquan Yang, Yiming Yang, Jie Chen, Jiayi Zheng, Zhongxi Zheng:
Handling Noisy Labels via One-Step Abductive Multi-Target Learning. - Mohammad Reza Jafari Harandi, Hamid D. Taghirad:
On the Matching Equations of Kinetic Energy Shaping in IDA-PBC. - Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang:
Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm. - Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. - Kerui Li, Siew-Chong Tan, Ron Shu-Yuen Hui:
On Effect of Right-Half-Plane Zero Present in Buck Converters with Input Current Source in Wireless Power Receiver Systems. - Hrithwik Shalu, Harikrishnan P, Hari Sankar CN, Akash Das, Saptarshi Majumder, Arnhav Datar, Subin Mathew MS, Anugyan Das, Juned Kadiwala:
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model. - Jessica Moysen, Furqan Ahmed, Mario García-Lozano, Jarno Niemelä:
Big Data-driven Automated Anomaly Detection and Performance Forecasting in Mobile Networks. - Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu:
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Xiangbo Li, Mahmoud Darwich, Magdy A. Bayoumi, Mohsen Amini Salehi:
Cloud-Based Video Streaming Services: A Survey. - Antonio Toral, Antoni Oliver, Pau Ribas Ballestín:
Machine Translation of Novels in the Age of Transformer. - William Earley:
The א Calculus. - Jiawei Zhu, Xin Han, Hanhan Deng, Chao Tao, Ling Zhao, Lin Tao, Haifeng Li:
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. - Edgar Fajardo Hernandez, Frank Würthwein, Brian Bockelman, Miron Livny, Greg Thain, James Alexander Clark, Peter Couvares, Josh Willis:
Adapting LIGO workflows to run in the Open Science Grid. - Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi:
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images. - Christoph Böddeker, Wangyou Zhang, Tomohiro Nakatani, Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Naoyuki Kamo, Yanmin Qian, Shinji Watanabe, Reinhold Haeb-Umbach:
Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation. - Brady Neal, Chin-Wei Huang, Sunand Raghupathi:
RealCause: Realistic Causal Inference Benchmarking. - Eleni Bila, John Derrick, Simon Doherty, Brijesh Dongol, Gerhard Schellhorn, Heike Wehrheim:
Modularising Verification Of Durable Opacity. - Wanxin Jin, Todd D. Murphey, Shaoshuai Mou:
Learning from Incremental Directional Corrections. - Jesús García Díaz:
A 3-2/b(G)-approximation algorithm for the graph burning problem. - Moonyoung Lee, Youngsun Kwon, Sebin Lee, Jonghun Choe, Junyong Park, Hyobin Jeong, Yujin Heo, Min-Su Kim, Sungho Jo, Sung-Eui Yoon, Jun-Ho Oh:
Dynamic Humanoid Locomotion over Uneven Terrain With Streamlined Perception-Control Pipeline. - Daniel Gratzer, G. A. Kavvos, Andreas Nuyts, Lars Birkedal:
Multimodal Dependent Type Theory. - Siddharth Dalmia, Yuzong Liu, Srikanth Ronanki, Katrin Kirchhoff:
Transformer-Transducers for Code-Switched Speech Recognition. - Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia:
The LDBC Graphalytics Benchmark. - Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for local supervision in cortical microcircuits. - Rafi Trad, Myra Spiliopoulou:
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces. - Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. - Francesco Regazzoni, Matteo Salvador, Pasquale Claudio Africa, Marco Fedele, Luca Dedè, Alfio Quarteroni:
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation. - Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. - Francesco Regazzoni, Matteo Salvador, Pasquale Claudio Africa, Marco Fedele, Luca Dedè, Alfio Quarteroni:
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation. - Jakub M. Tomczak:
General Invertible Transformations for Flow-based Generative Modeling. - Carsten Carstensen, Ngoc Tien Tran:
Unstabilized Hybrid High-Order method for a class of degenerate convex minimization problems. - Olivier Nicole, Matthieu Lemerre, Sébastien Bardin, Xavier Rival:
No Crash, No Exploit: Automated Verification of Embedded Kernels. - Marlene Berke, Mario Belledonne, Julian Jara-Ettinger:
Learning a metacognition for object perception. - Rémy Brossard, Oriel Frigo, David Dehaene:
Graph convolutions that can finally model local structure. - Kartikey Kant, Debasish Pattanayak, Partha Sarathi Mandal:
Fort Formation by an Automaton. - Christian Diller, Thomas A. Funkhouser, Angela Dai:
Forecasting Characteristic 3D Poses of Human Actions. - Albert Matveev, Alexey Artemov, Ruslan Rakhimov, Gleb Bobrovskikh, Daniele Panozzo, Denis Zorin, Evgeny Burnaev:
DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. - Hsin-Po Wang, Iwan M. Duursma:
Parity-Checked Strassen Algorithm. - Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. - Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani:
Diverse Sampling for Normalizing Flow Based Trajectory Forecasting. - Yue Wu:
A randomised trapezoidal quadrature. - Anirudh Goyal, Yoshua Bengio:
Inductive Biases for Deep Learning of Higher-Level Cognition. - Etienne Richan, Jean Rouat:
A proposal and evaluation of new timbre visualisation methods for audio sample browsers. - Glebys T. Gonzalez, Upinder Kaur, Masudur Rahma, Vishnunandan Venkatesh, Natalia Sanchez, Gregory D. Hager, Yexiang Xue, Richard M. Voyles, Juan P. Wachs:
From the DESK (Dexterous Surgical Skill) to the Battlefield - A Robotics Exploratory Study. - Yang P. Liu:
Vertex Sparsification for Edge Connectivity in Polynomial Time. - Xuefeng Du, Pengtao Xie:
Learning by Passing Tests, with Application to Neural Architecture Search. - Parmida Davarmanesh, Kuanhao Jiang, Tingting Ou, Artem Vysogorets, Stanislav Ivashkevich, Max Kiehn, Shantanu H. Joshi, Nicholas Malaya:
Automating Artifact Detection in Video Games. - Joachim de Curtò, R. Duvall:
Vulcan Centaur: towards end-to-end real-time perception in lunar rovers. - Thomas O'Leary-Roseberry, Umberto Villa, Peng Chen, Omar Ghattas:
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs. - Melih Bastopcu, Sennur Ulukus:
Timely Group Updating. - Tingwu Wang, Yunrong Guo, Maria Shugrina, Sanja Fidler:
UniCon: Universal Neural Controller For Physics-based Character Motion. - Willem van Jaarsveld:
Model-based controlled learning of MDP policies with an application to lost-sales inventory control. - Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, Desmond Elliott:
Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs. - Ting-Chun Wang, Arun Mallya, Ming-Yu Liu:
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. - Aleksander Holynski, Brian Curless, Steven M. Seitz, Richard Szeliski:
Animating Pictures with Eulerian Motion Fields. - Zoe L. de Beurs, Andrew Vanderburg, Christopher J. Shallue, Xavier Dumusque, Andrew Collier Cameron, Lars A. Buchhave, Rosario Cosentino, Adriano Ghedina, Raphaëlle D. Haywood, Nicholas Langellier, David W. Latham, Mercedes López-Morales, Michel Mayor, Giusi Micela, Timothy W. Milbourne, Annelies Mortier, Emilio Molinari, Francesco Pepe, David F. Phillips, Matteo Pinamonti, Giampaolo Piotto, Ken Rice, Dimitar Sasselov, Alessandro Sozzetti, Stéphane Udry, Christopher A. Watson:
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks. - Amira Abbas, David Sutter, Christa Zoufal, Aurélien Lucchi, Alessio Figalli, Stefan Woerner:
The power of quantum neural networks. - Yunong Shi, Pranav Gokhale, Prakash Murali, Jonathan M. Baker, Casey Duckering, Yongshan Ding, Natalie C. Brown, Christopher Chamberland, Ali Javadi-Abhari, Andrew W. Cross, David I. Schuster, Kenneth R. Brown, Margaret Martonosi, Frederic T. Chong:
Resource-Efficient Quantum Computing by Breaking Abstractions. - Mouloud Belbahri, Olivier Gandouet, Ghaith Kazma:
Adapting Neural Networks for Uplift Models. - Edoardo Belli, Simone Vantini:
Measure Inducing Classification and Regression Trees for Functional Data. - Francesco Calivá, Kaiyang Cheng, Rutwik Shah, Valentina Pedoia:
Adversarial Robust Training in MRI Reconstruction. - Hosein Barzekar, Zeyun Yu:
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification. - Sarah Oh, Elijah F. W. Bowen, Antonio Rodriguez, Damian Sowinski, Eva Childers, Annemarie Brown, Laura E. Ray, Richard Granger:
Towards a perceptual distance metric for auditory stimuli. - Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Yong Xu, Shi-Xiong Zhang, Dong Yu:
Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization. - Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright, Paul R. Prucnal:
Photonics for artificial intelligence and neuromorphic computing. - Mayukh Nath, Alfred Krister Ulvog, Scott Weigand, Shreyas Sen:
Understanding The Role of Magnetic and Magneto-Quasistatic Fields in Human Body Communication. - Yen Hung Chen:
Approximability results for the p-centdian and the converse centdian problems. - Yen Hung Chen:
Approximating the clustered selected-internal Steiner tree problem. - Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19. - Tengfei Liang, Yi Jin, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang:
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising. - Shamiul Alam, Md. Shafayat Hossain, Ahmedullah Aziz:
A Non-Volatile Cryogenic Random-Access Memory Based on the Quantum Anomalous Hall Effect. - Ryusuke Sagawa, Yusuke Higuchi, Hiroshi Kawasaki, Ryo Furukawa, Takahiro Ito:
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern. - Duan-Shin Lee, Miao Zhu:
Epidemic Spreading in a Social Network with Facial Masks wearing Individuals. - Jingzhen Hu, Qingzhong Liang, Narayanan Rengaswamy, A. Robert Calderbank:
Mitigating Coherent Noise by Balancing Weight-2 Z-Stabilizers. - Ben Amiet, Andrea Collevecchio, Kais Hamza:
When "Better" is better than "Best". - Shanpu Shen, Junghoon Kim, Chaoyun Song, Bruno Clerckx:
Wireless Power Transfer with Distributed Antennas: System Design, Prototype, and Experiments. - Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman:
Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI. - Kenta Iida, Hitoshi Kiya:
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images. - Edoardo Belli:
Smoothly Adaptively Centered Ridge Estimator. - Yen-Hao Chen, Da-Yi Wu, Tsung-Han Wu, Hung-yi Lee:
AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization. - Michael Kohler, Adam Krzyzak:
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. - Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone:
Deep learning in the ultrasound evaluation of neonatal respiratory status. - Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári:
On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization. - Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan:
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization. - Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. - Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang:
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. - Masahito Hayashi, Ning Cai:
Universal classical-quantum superposition coding and universal classical-quantum multiple access channel coding. - Tim G. J. Rudner, Dino Sejdinovic, Yarin Gal:
Inter-domain Deep Gaussian Processes. - Shiyun Xu:
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks. - Xikai Yang, Yong Long, Saiprasad Ravishankar:
Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction. - Ashish R. Hota, Tanya Sneh, Kavish Gupta:
Impacts of Game-Theoretic Activation on Epidemic Spread over Dynamical Networks. - Fengying Che, Ruichuan Shi, Zhi Li, Jian Wu, Shuqin Li, Weixing Chen, Hao Zhang, Xiaoyu Cui:
Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images. - Xiaoxue Zhang, Jun Ma, Zilong Cheng, Sunan Huang, Clarence W. de Silva, Tong Heng Lee:
Accelerated Hierarchical ADMM for Nonconvex Optimization in Multi-Agent Decision Making. - Diptangshu Sen, Varun Ramamohan, Prasanna Ramamoorthy:
Optimal minimal-contact customer routing through grocery stores. - Xiangxie Zhang, Ben Beinke, Berlian Al Kindhi, Marco A. Wiering:
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification. - Eric Carlos Hamdan, Filippo Maria Fazi:
Focusing Phenomena in Linear Discrete Inverse Problems in Acoustics. - Lihua Chen, Ghanshyam Pilania, Rohit Batra, Tran Doan Huan, Chiho Kim, Christopher Künneth, Rampi Ramprasad:
Polymer Informatics: Current Status and Critical Next Steps. - Jeff Weeks:
Virtual reality simulations of curved spaces. - Tim G. J. Rudner, Oscar Key, Yarin Gal, Tom Rainforth:
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes. - Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng:
Learning Euler's Elastica Model for Medical Image Segmentation. - Amritanshu Pandey, Aayushya Agarwal, Larry T. Pileggi:
Incremental Model Building Homotopy Approach for Solving Exact AC-Constrained Optimal Power Flow. - Sergey I. Veselov, Dmitriy V. Gribanov, Nikolai Yu. Zolotykh, Aleksandr Yu. Chirkov:
A polynomial algorithm for minimizing discrete convic functions in fixed dimension. - Kapal Dev, Sunder Ali Khowaja, Aman Jaiswal, Ankur Singh Bist, Vaibhav Saini, Surbhi Bhatia:
Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks. - Alexei Novikov, Stephen White:
Efficient Solutions for the Multidimensional Sparse Turnpike Problem. - Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, Roshanak Roshandel, Shadrokh Samavi:
Brain Tumor Classification Using Medial Residual Encoder Layers. - Yuhang Cai, Lek-Heng Lim:
Distances between probability distributions of different dimensions. - Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak, Roshanak Roshandel, Pejman Khadivi, Nader Karimi, Shadrokh Samavi:
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images. - Jakub Marecek:
Screening for an Infectious Disease as a Problem in Stochastic Control. - Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam:
Active Structure Learning of Causal DAGs via Directed Clique Tree. - Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera:
Survival prediction and risk estimation of Glioma patients using mRNA expressions. - Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi:
Asynchronous Parallel Stochastic Quasi-Newton Methods. - Purvi Agrawal, Sriram Ganapathy:
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations. - Amir-Hossein Karimi, Tryphon T. Georgiou:
Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric. - Wei Tan, Emilio Martínez-Pañeda:
Phase field predictions of microscopic fracture and R-curve behaviour of fibre-reinforced composites. - Chung-Han Hsieh:
On Control of Epidemics with Application to COVID-19. - Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne:
Complexity of near-optimal robust versions of multilevel optimization problems. - Thibault Lesieur, Jérémie Messud, Issa Hammoud, Hanyuan Peng, Céline Lacombe, Paulien Jeunesse:
Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case. - Arnab Bhattacharjee, Ashu Verma, Sukumar Mishra, Tapan Kumar Saha:
Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning. - Fabian Isensee, Paul F. Jaeger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. - Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser:
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU. - Heng-Yu Chen, Yang-Hui He, Shailesh Lal, Suvajit Majumder:
Machine Learning Lie Structures & Applications to Physics. - Fatih Gulec, Baris Atakan:
Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission. - Fabio Schittler Neves, Marc Timme:
Controlled Perturbation-Induced Switching in Pulse-Coupled Oscillator Networks. - Leonard Göke:
AnyMOD.jl: A Julia package for creating energy system models. - Léo Simpson, Patrick L. Combettes, Christian L. Müller:
c-lasso - a Python package for constrained sparse and robust regression and classification. - Battu Deepak, R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri:
Channel Estimation in Reconfigurable Intelligent Surface Assisted mmWave MIMO Systems. - Cory Palmer, Dömötör Pálvölgyi:
At most 4.47n stable matchings. - Qiao Tian, Zewang Zhang, Chao Liu, Heng Lu, Linghui Chen, Bin Wei, Pujiang He, Shan Liu:
FeatherTTS: Robust and Efficient attention based Neural TTS. - Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu:
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. - Charles Auguste, Sean Malory, Ivan Smirnov:
A better method to enforce monotonic constraints in regression and classification trees. - Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. - Théophraste Henry, Alexandre Carre, Marvin Lerousseau, Théo Estienne, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution. - Edoardo Belli, Simone Vantini:
Ridge regression with adaptive additive rectangles and other piecewise functional templates. - Yunfeng Cai, Ping Li:
Identification of Matrix Joint Block Diagonalization. - Nahian Siddique, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
U-Net and its variants for medical image segmentation: theory and applications. - Jose Patino, Natalia A. Tomashenko, Massimiliano Todisco, Andreas Nautsch, Nicholas W. D. Evans:
Speaker anonymisation using the McAdams coefficient. - Rajeev Sahay, Christopher G. Brinton, David J. Love:
Frequency-based Automated Modulation Classification in the Presence of Adversaries. - Niraj Kushwaha, Naveen Kumar Mendola, Saptarshi Ghosh, Ajay Deep Kachhvah, Sarika Jalan:
Machine Learning assisted Chimera and Solitary states in Networks. - Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications. - Daniel Fernández-Sánchez, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato:
Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints. - Yeunju Choi, Youngmoon Jung, Youngjoo Suh, Hoirin Kim:
Perceptually Guided End-to-End Text-to-Speech. - D. M. Anisuzzaman, Hosein Barzekar, Ling Tong, Jake Luo, Zeyun Yu:
A Deep Learning Study on Osteosarcoma Detection from Histological Images. - Olivier Adjoua, Louis Lagardère, Luc-Henri Jolly, Arnaud Durocher, Thibaut Very, Isabelle Dupays, Zhi Wang, Théo Jaffrelot Inizan, Frédéric Célerse, Pengyu Y. Ren, Jay W. Ponder, Jean-Philip Piquemal:
Tinker-HP : Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems. - Nanxin Chen, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Focus on the present: a regularization method for the ASR source-target attention layer. - Wei Zhang, Hanhan Sun, Christopher Edwards, Datao Gong, Xing Huang, Chonghan Liu, Tiankuan Liu, Tiehui Liu, Jamieson Olsen, Quan Sun, Xiangming Sun, Jinyuan Wu, Jingbo Ye, Li Zhang:
A Low-Power Time-to-Digital Converter for the CMS Endcap Timing Layer (ETL) Upgrade. - Charles W. L. Gadd, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski:
Sample-efficient reinforcement learning using deep Gaussian processes. - Keming Zhang, Joshua S. Bloom:
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks. - Takfarinas Medani, Juan Garcia-Prieto, François Tadel, Sophie Schrader, Anand A. Joshi, Christian Engwer, Carsten H. Wolters, John C. Mosher, Richard M. Leahy:
Realistic head modeling of electromagnetic brain activity: An integrated Brainstorm pipeline from MRI data to the FEM solution. - Allison Koenecke, Hal R. Varian:
Synthetic Data Generation for Economists. - Mikhail Hayhoe, Francisco Barreras, Victor M. Preciado:
Data-Driven Control of the COVID-19 Outbreak via Non-Pharmaceutical Interventions: A Geometric Programming Approach. - Igor Halperin:
Non-Equilibrium Skewness, Market Crises, and Option Pricing: Non-Linear Langevin Model of Markets with Supersymmetry. - Xiuyuan Cheng, Hau-Tieng Wu:
Convergence of Graph Laplacian with kNN Self-tuned Kernels. - Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo:
Quadratic Metric Elicitation with Application to Fairness. - Xuan Kien Phung:
Shadowing for families of endomorphisms of generalized group shifts. - Ahmed Mustafa, Nicola Pia, Guillaume Fuchs:
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization. - Mingkun Huang, Meng Cai, Jun Zhang, Yang Zhang, Yongbin You, Yi He, Zejun Ma:
Dynamic latency speech recognition with asynchronous revision. - Mingkun Huang, Jun Zhang, Meng Cai, Yang Zhang, Jiali Yao, Yongbin You, Yi He, Zejun Ma:
Improving RNN transducer with normalized jointer network. - Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge. - Alireza Daneshkhah, Omid Chatrabgoun, Mohsen Esmaeilbeigi, Tabassom Sedighi, S. Abolfathi:
Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process. - Bernhard Reinke:
Diverging orbits for the Ehrlich-Aberth and the Weierstrass root finders. - Indranil Basu, Subhadip Maji:
Multicollinearity Correction and Combined Feature Effect in Shapley Values. - Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Misha P. T. Kaandorp, Sebastiano Barbieri, Remy Klaassen, Hanneke W. M. van Laarhoven, Hans Crezee, Peter T. While, Aart J. Nederveen, Oliver J. Gurney-Champion:
Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients. - Ana-Maria Bucur, Liviu P. Dinu:
Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores. - Dmitry Kovalev, Anastasia Koloskova, Martin Jaggi, Peter Richtárik, Sebastian U. Stich:
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! - Fabian Guignard, Federico Amato, Mikhail F. Kanevski:
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals. - Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi:
Regularized spectral methods for clustering signed networks. - Vitaly Nikolaev:
Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images. - Zhaodong Sun:
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting. - Aniket Maurya:
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning. - (Withdrawn) Point of Care Image Analysis for COVID-19.
- Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li:
Federated LQR: Learning through Sharing. - Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Minimax Pareto Fairness: A Multi Objective Perspective. - Ananda Theertha Suresh:
Robust hypothesis testing and distribution estimation in Hellinger distance. - Jonathan Leake, Nisheeth K. Vishnoi:
On the Computability of Continuous Maximum Entropy Distributions: Adjoint Orbits of Lie Groups. - Thinh T. Doan:
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance. - Jaroslaw Adam Miszczak:
Variational certification of quantum devices. - Eric V. Strobl:
Automated Hyperparameter Selection for the PC Algorithm. - Dominic Liao-McPherson, Terrence Skibik, Torbjørn Cunis, Ilya V. Kolmanovsky, Marco M. Nicotra:
A Feasibility Governor for Enlarging the Region of Attraction of Linear Model Predictive Controllers. - Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean:
Power of data in quantum machine learning. - Kristjan H. Greenewald, Dmitriy A. Katz-Rogozhnikov, Karthik Shanmugam:
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation. - Man-Ling Sung, Siyuan Feng, Tan Lee:
Unsupervised Pattern Discovery from Thematic Speech Archives Based on Multilingual Bottleneck Features. - Eddie Pei, Ernest Fokoué:
Graph Enhanced High Dimensional Kernel Regression. - Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, Yashesh Gaur, Naoyuki Kanda, Liang Lu, Xie Chen, Rui Zhao, Jinyu Li, Yifan Gong:
Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition. - Desh Raj, Leibny Paola García-Perera, Zili Huang, Shinji Watanabe, Daniel Povey, Andreas Stolcke, Sanjeev Khudanpur:
DOVER-Lap: A Method for Combining Overlap-aware Diarization Outputs. - Yixuan Zhang, Yuzhou Liu, DeLiang Wang:
Complex ratio masking for singing voice separation. - Jaime A. Moreno:
Arbitrary Order Fixed-Time Differentiators. - Desh Raj, Pavel Denisov, Zhuo Chen, Hakan Erdogan, Zili Huang, Mao-Kui He, Shinji Watanabe, Jun Du, Takuya Yoshioka, Yi Luo, Naoyuki Kanda, Jinyu Li, Scott Wisdom, John R. Hershey:
Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis. - Zuchao Zhang, B. J. Xiao, Zhenshan Ji, Yong Wang, Fan Xia, Z. H. Xu:
The upgrade of EAST Safety and Interlock system. - Mario Morvan, Angelos Tsiaras, Nikolaos Nikolaou, Ingo P. Waldmann:
PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch. - Anurag Anshu, Chinmay Nirkhe:
Circuit lower bounds for low-energy states of quantum code Hamiltonians. - Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian:
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs. - Han Liu, Can Cui, Dario J. Englot, Benoit M. Dawant:
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation. - Matthew Aguirre, Jan Sokol, Guhan Venkataraman, Alexander Ioannidis:
A deep learning classifier for local ancestry inference. - Yan Zuo, Tom Drummond:
Residual Likelihood Forests. - Grace Deng, Cuize Han, David S. Matteson:
Learning to Rank with Missing Data via Generative Adversarial Networks. - Desh Raj, Jesús Villalba, Daniel Povey, Sanjeev Khudanpur:
Frustratingly Easy Noise-aware Training of Acoustic Models. - Purvi Agrawal, Sriram Ganapathy:
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting. - Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao:
Capped norm linear discriminant analysis and its applications. - Rotem Liss, Tal Mor:
From Practice to Theory: The "Bright Illumination" Attack on Quantum Key Distribution Systems. - Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu, Wujie Wen, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang:
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective. - Hoon Hong, James Rohal, Mohab Safey El Din, Éric Schost:
Connectivity in Semi-Algebraic Sets I. - Rini A. Sharon, Hema A. Murthy:
Correlation based Multi-phasal models for improved imagined speech EEG recognition. - Sri Karlapati, Ammar Abbas, Zack Hodari, Alexis Moinet, Arnaud Joly, Penny Karanasou, Thomas Drugman:
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech. - Masaaki Imaizumi, Kenji Fukumizu:
Advantage of Deep Neural Networks for Estimating Functions with Singularity on Curves. - Huiming Zhang, Song Xi Chen:
Concentration Inequalities for Statistical Inference. - Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen:
Causal Autoregressive Flows. - Amir Dib:
Quantized Variational Inference. - Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl:
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. - Lei Lin, Feng Shi, Weizi Li:
Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity. - Amin Coja-Oghlan, Noëla Müller, Jean B. Ravelomanana:
Belief Propagation on the random k-SAT model. - Marcelo V. W. Zibetti, Gabor T. Herman, Ravinder R. Regatte:
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems. - Filip Lemic, Sergi Abadal, Chong Han, Johann Márquez-Barja, Eduard Alarcón, Jeroen Famaey:
Localization in Terahertz-Operating Energy Harvesting Software-Defined Metamaterials. - Kunjin Chen, Tomás Vantuch, Yu Zhang, Jun Hu, Jinliang He:
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features. - Felix Sebastian Leo Thomsen, José Manuel Fuertes-García, Manuel J. Lucena, Juan Pisula, Rodrigo de Luis García, Jan Broggrefe, Claudio Delrieux:
Noise Reduction to Compute Tissue Mineral Density and Trabecular Bone Volume Fraction from Low Resolution QCT. - Kamran Keykhosravi, Musa Furkan Keskin, Gonzalo Seco-Granados, Henk Wymeersch:
SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization. - Manuel Nonnenmacher, David Reeb, Ingo Steinwart:
Which Minimizer Does My Neural Network Converge To? - Saurabh Goswami, Aakanksha, A. N. Rajagopalan:
Robust Super-Resolution of Real Faces using Smooth Features. - Marcia Fampa, Jon Lee, Gabriel Ponte:
Trading off 1-norm and sparsity against rank for linear models using mathematical optimization: 1-norm minimizing partially reflexive ah-symmetric generalized inverses. - Hernán De Battista, José García-Clúa, Sebastián Nuñez, Fernando Inthamoussou, Fabricio Garelli:
On Key Epidemiological Metrics during Infectious Disease Outbreaks. - Qinsheng Zhang, Rahul Singh, Yongxin Chen:
Filtering for Aggregate Hidden Markov Models with Continuous Observations. - Rohit Batra, Hanjun Dai, Tran Doan Huan, Lihua Chen, Chiho Kim, Will R. Gutekunst, Le Song, Rampi Ramprasad:
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders. - You Wang, Chuyao Feng, David V. Anderson:
A Multi-Channel Temporal Attention Convolutional Neural Network Model for Environmental Sound Classification. - Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
DeepReg: a deep learning toolkit for medical image registration. - Govind R. Gopal, Elina Nayebi, Gabriel Porto Villardi, Bhaskar D. Rao:
Inter-Cell Interference and Load Balancing Aware Access Point Placement in Small-Cell Networks. - Shize Qin, Lena Klaaßen, Ulrich Gallersdörfer, Christian Stoll, Da Zhang:
Bitcoin's future carbon footprint. - Mojtaba Heydari, Zhiyao Duan:
Do not look back: an online beat tracking method using RNN and enhanced particle filtering. - Alexander V. Proskurin:
Mathematical modelling of an unstable bent flow using the selective frequency damping method. - Zerihun Kinfe Birhanu, Tadele Mengesha, Abner J. Salgado:
The Darcy problem with porosity depending exponentially on the pressure. - Nai-Hui Chia, Kai-Min Chung, Takashi Yamakawa:
A Black-Box Approach to Post-Quantum Zero-Knowledge in Constant Round. - Jiayun Li, Wenyuan Li, Anthony E. Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold:
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning. - Zhuoran Qiao, Feizhi Ding, Matthew Welborn, Peter J. Bygrave, Daniel G. A. Smith, Animashree Anandkumar, Frederick R. Manby, Thomas F. Miller III:
Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces. - Jason M. Klusowski, Peter M. Tian:
Nonparametric Variable Screening with Optimal Decision Stumps. - Jongho Park:
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. - Junzhe Zhu, Mark Hasegawa-Johnson, Nancy McElwain:
A Comparison Study on Infant-Parent Voice Diarization. - Jun Liu, Ke Xu, Guangyan Zhou:
Exact Phase Transitions of Model RB with Slower-Growing Domains. - R. Díaz Millán, Nadezda Sukhorukova, Julien Ugon:
An algorithm for best generalised rational approximation of continuous functions. - Zijie Wang, Rongke Liu, Qirui Liu, Lincong Han:
Feasibility Study of UAV-Assisted Anti-Jamming Positioning. - Laurent Bartholdi:
Monadic second-order logic and the domino problem on self-similar graphs. - Gorka Kobeaga, María Merino, José Antonio Lozano:
A revisited branch-and-cut algorithm for large-scale orienteering problems. - Janek Gröhl, Melanie Schellenberg, Kris Dreher, Lena Maier-Hein:
Deep learning for biomedical photoacoustic imaging: A review. - Víctor Valls, George Iosifidis, Leandros Tassiulas:
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches. - Manon Romain, Alexandre d'Aspremont:
A Bregman Method for Structure Learning on Sparse Directed Acyclic Graphs. - Han Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan:
Multi-Accent Adaptation based on Gate Mechanism. - Han Zhu, Jiangjiang Zhao, Yuling Ren, Li Wang, Pengyuan Zhang:
Domain Adaptation Using Class Similarity for Robust Speech Recognition. - Héctor Iván García Hernández, Raymundo Torres Ruiz, Guo-Hua Sun:
Image Classification via Quantum Machine Learning. - Jordan Colman, Lei Zhang, Wenting Duan, Xujiong Ye:
DR-Unet104 for Multimodal MRI brain tumor segmentation. - Haijun Gao, Bochuan Zheng, Dazhi Pan, Xiangyin Zeng:
Covariance Self-Attention Dual Path UNet for Rectal Tumor Segmentation. - Chenggang Lyu, Hai Shu:
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation. - Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang:
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist. - Giuseppe Greco, Valentin D. Richard, Michael Moortgat, Apostolos Tzimoulis:
Lambek-Grishin Calculus: Focusing, Display and Full Polarization. - Desh Raj, Zili Huang, Sanjeev Khudanpur:
Multi-class Spectral Clustering with Overlaps for Speaker Diarization. - Shohei Satake:
On the restricted isometry property of the Paley matrix. - Naoyuki Kanda, Zhong Meng, Liang Lu, Yashesh Gaur, Xiaofei Wang, Zhuo Chen, Takuya Yoshioka:
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR. - Maria Petrova, Ananya Sen, Pinar Yildirim:
Social Media and Political Contributions: The Impact of New Technology on Political Competition. - Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. - Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles:
Absence of Barren Plateaus in Quantum Convolutional Neural Networks. - Georgios Kotsalis, Guanghui Lan, Tianjiao Li:
Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation. - Anina Gruica, Alberto Ravagnani:
Common Complements of Linear Subspaces and the Sparseness of MRD Codes. - Yichun Hu, Nathan Kallus, Xiaojie Mao:
Fast Rates for Contextual Linear Optimization. - Samson Abramsky, Rui Soares Barbosa:
The logic of contextuality. - Xiaofei Wang, Naoyuki Kanda, Yashesh Gaur, Zhuo Chen, Zhong Meng, Takuya Yoshioka:
Exploring End-to-End Multi-channel ASR with Bias Information for Meeting Transcription. - Bolaji Yusuf, Lucas Ondel, Lukás Burget, Jan Cernocký, Murat Saraclar:
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery. - Trideba Padhi, Astik Biswas, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler:
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced Languages. - Behdad Chalaki, Andreas A. Malikopoulos:
A Hysteretic Q-learning Coordination Framework for Emerging Mobility Systems in Smart Cities. - Tomoyuki Morimae:
Quantum randomized encoding, verification of quantum computing, no-cloning, and blind quantum computing. - Salman Jahani, Shiyu Zhou, Dharmaraj Veeramani, Jeff Schmidt:
Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction. - Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun:
There is no trade-off: enforcing fairness can improve accuracy. - Ye He, Krishnakumar Balasubramanian, Murat A. Erdogdu:
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method. - Jin-Peng Liu, Herman Øie Kolden, Hari K. Krovi, Nuno F. Loureiro, Konstantina Trivisa, Andrew M. Childs:
Efficient quantum algorithm for dissipative nonlinear differential equations. - Yading Yuan:
Automatic Brain Tumor Segmentation with Scale Attention Network. - Alex Boyd, Robert Bamler, Stephan Mandt, Padhraic Smyth:
User-Dependent Neural Sequence Models for Continuous-Time Event Data. - Serkan Budak, Bahadir Akbal:
Fault Location Estimation by Using Machine Learning Methods in Mixed Transmission Lines. - Ben Adlam, Jeffrey Pennington:
Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition. - Cathal Ryan, Christophe Guéret, Donagh Berry, Brian Mac Namee:
Can We Detect Mastitis earlier than Farmers? - Peter Bjørn Jørgensen, Arghya Bhowmik:
DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction. - Haoyue Zhang, Jennifer S. Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El-Saden, Fabien Scalzo, William Speier, Corey W. Arnold:
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time. - Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal:
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. - Ziqiang Wu, Hao Liao, Alexandre Vidmer, Ming-Yang Zhou, Wei Chen:
COVID-19 Plateau: A Phenomenon of Epidemic Development under Adaptive Prevention Strategies. - Naci Saldi:
Regularized Stochastic Team Problems. - Simone Göttlich, Michael Herty, Gediyon Weldegiyorgis:
Input-to-state stability of a scalar conservation law with nonlocal velocity. - (Withdrawn) Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement.
- Shilu Yan, Hongsheng Qi, Wei Cui:
Nonlinear Quantum Neuron: A Fundamental Building Block for Quantum Neural Networks. - Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt:
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems. - Gabriel F. Miller, Andreas Brendel, Walter Kellermann, Sharon Gannot:
Misalignment Recognition in Acoustic Sensor Networks using a Semi-supervised Source Estimation Method and Markov Random Fields. - Dimitra N. Panou, Martin Reczko:
DeepFoldit - A Deep Reinforcement Learning Neural Network Folding Proteins. - Amir Shanehsazzadeh, David Belanger, David Dohan:
Is Transfer Learning Necessary for Protein Landscape Prediction? - Jouni Järvinen, Sándor Radeleczki:
Defining rough sets as core-support pairs of three-valued functions. - Zhaoming Kong, Xiaowei Yang, Lifang He:
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods. - Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim:
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data. - Taufeq Mohammed Razakh, Beibei Wang, Shane Jackson, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta:
Physics-informed Neural-Network Software for Molecular Dynamics Applications. - Ahmad Khaled Zarabie, Sanjoy Das, Hongyu Wu:
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation. - Peng Bai, Giulio Vignoli, Andrea Viezzoli, Jouni Nevalainen, Giuseppina Vacca:
(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network. - Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Kunfeng Qiu, Liang Huang, Shilian Zheng, Shichuan Chen, Qi Xuan, Xiaoniu Yang:
SigNet: An Advanced Deep Learning Framework for Radio Signal Classification. - Camila Riccio, Jorge Finke, Camilo Rocha:
Using Overlapping Communities and Network Structure for Identifying Reduced Groups of Stress Responsive Genes. - Felix Parker, Hamilton Sawczuk, Fardin Ganjkhanloo, Farzin Ahmadi, Kimia Ghobadi:
Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19. - Puru Malhotra, Nimesh Shahdadpuri:
Nano-robotic based Thrombolysis: Dissolving Blood Clots using Nanobots. - Ethan Jacob Moyer, Anup Das:
Machine learning applications to DNA subsequence and restriction site analysis. - Roland Herzog, Jan-Frederik Pietschmann, Max Winkler:
Optimal Control of Hughes' Model for Pedestrian Flow via Local Attraction. - Xiao Qi, Lloyd G. Brown, David J. Foran, Ilker Hacihaliloglu:
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network. - Aleksandra Ciprijanovic, Diana Kafkes, S. Jenkins, K. Downey, Gabriel N. Perdue, Sandeep Madireddy, T. Johnston, Brian Nord:
Domain adaptation techniques for improved cross-domain study of galaxy mergers. - Chandler Squires, Joshua Amaniampong, Caroline Uhler:
Efficient Permutation Discovery in Causal DAGs. - Abhiram Gnanasambandam, Stanley H. Chan:
HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction. - Hunter Lang, David A. Sontag, Aravindan Vijayaraghavan:
Graph cuts always find a global optimum (with a catch). - Mohammad Elhindi, Khaled Zennir, Djamel Ouchenane, Abdelbaki Choucha, Toufic El Arwadi:
Bresse-Timoshenko type systems with thermodiffusion effects: Well-possedness, stability and numerical results. - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images. - Dmitriy Kunisky:
Hypothesis testing with low-degree polynomials in the Morris class of exponential families. - Peng Jia, Ruiyu Ning, Ruiqi Sun, Xiaoshan Yang, Dongmei Cai:
Data-driven Image Restoration with Option-driven Learning for Big and Small Astronomical Image Datasets. - Chenda Li, Jing Shi, Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang, Naoyuki Kamo, Moto Hira, Tomoki Hayashi, Christoph Böddeker, Zhuo Chen, Shinji Watanabe:
ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration. - Marzieh Ajirak, Cassandra Heiselman, Anna Fuchs, Mia Heiligenstein, Kimberly Herrera, Diana Garretto, Petar M. Djuric:
GP-LVM of categorical data from test-positive COVID-19 pregnant women. - Hongyan Chang, Reza Shokri:
On the Privacy Risks of Algorithmic Fairness. - Abderrahmane Mayouche, Wallace A. Martins, Christos G. Tsinos, Symeon Chatzinotas, Björn E. Ottersten:
Multi-Antenna Data-Driven Eavesdropping Attacks and Symbol-Level Precoding Countermeasures. - Liangzhi Li, Manisha Verma, Bowen Wang, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns. - Jianqiang Wang, Dandan Ding, Zhu Li, Zhan Ma:
Multiscale Point Cloud Geometry Compression. - Sneha Das, Tom Bäckström:
Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks. - Shiming Yuan, Johan Alme, Dieter Röhrich, Matthias Richter, Magnus Rentsch Ersdal, Piero Giubilato, Gianluca Aglieri Rinella, Arild Velure, Matteo Lupi, Johann Joachim Schambach:
Remote Configuration of the ProASIC3 on the ALICE Inner Tracking System Readout Unit. - Ran Xin, Usman A. Khan, Soummya Kar:
A fast randomized incremental gradient method for decentralized non-convex optimization. - T. Tony Cai, Yichen Wang, Linjun Zhang:
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds. - Guokai Zhang, Xiaoang Shen, Ye Luo, Jihao Luo, Zeju Wang, Weigang Wang, Binghui Zhao, Jianwei Lu:
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation. - Maha Alodeh, Björn E. Ottersten:
Joint Constellation Rotation and Symbol-level Precoding Optimization in the Downlink of Multiuser MISO Channels. - Daxin Tan, Tan Lee:
Fine-grained style modelling and transfer in text-to-speech synthesis via content-style disentanglement. - Foyez Alauddin:
Quadratization of ODEs: Monomial vs. Non-Monomial. - Jianqing Fan, Ricardo P. Masini, Marcelo C. Medeiros:
Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction. - Ruoxi Wang, Dandan Zhang, Qing-Biao Li, Xiao-Yun Zhou, Benny Lo:
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution. - Botao Hao, Tor Lattimore, Mengdi Wang:
High-Dimensional Sparse Linear Bandits. - James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth:
Pathwise Conditioning of Gaussian Processes. - Shahram Ghorbani, Yashesh Gaur, Yu Shi, Jinyu Li:
Listen, Look and Deliberate: Visual context-aware speech recognition using pre-trained text-video representations. - Adam M. Tahir, Behçet Açikmese:
Synthesis of Interval Observers for Nonlinear Discrete-Time Systems. - Priyank Srivastava, Jorge Cortés:
Network Optimization via Smooth Exact Penalty Functions Enabled by Distributed Gradient Computation. - Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin:
Practical Bayesian System Identification using Hamiltonian Monte Carlo. - Elias Chaibub Neto, Phil Snyder, Solveig K. Sieberts, Larsson Omberg:
Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features. - Senrong You, Yong Liu, Baiying Lei, Shuqiang Wang:
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. - Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani:
Sinkhorn Natural Gradient for Generative Models. - Zhengling Qi, Peng Liao:
Robust Batch Policy Learning in Markov Decision Processes. - Vida Dujmovic, David Eppstein, Robert Hickingbotham, Pat Morin, David R. Wood:
Stack-number is not bounded by queue-number. - Milad Siami:
Stability and Robustness Analysis of Commensurate Fractional-order Networks. - Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji:
PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Amit Sharma, Emre Kiciman:
DoWhy: An End-to-End Library for Causal Inference. - Mercè Claverol, Alfredo García, Carlos G. Hernández, Carmen Hernando, Montserrat Maureso, Mercè Mora, Javier Tejel:
Total domination in plane triangulations. - O. Duranthon, Giuseppe Di Molfetta:
Goldilock rules, Quantum cellular automata and coarse-graining. - Elias Raninen, Esa Ollila:
Coupled regularized sample covariance matrix estimator for multiple classes. - Marcello Carammia, Stefano Maria Iacus, Teddy Wilkin:
Forecasting asylum-related migration flows with machine learning and data at scale. - Shrishti Saha Shetu, Soumitro Chakrabarty, Emanuël Anco Peter Habets:
An Empirical Study of Visual Features for DNN based Audio-Visual Speech Enhancement in Multi-talker Environments. - Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. - Huan Qing, Jingli Wang:
Community Detection by Principal Components Clustering Methods. - Tadeu A. Ferreira:
Reinforced Deep Markov Models With Applications in Automatic Trading. - Huan Qing, Jingli Wang:
Dual regularized Laplacian spectral clustering methods on community detection. - Heming Xia, Lijing Shao, Junjie Zhao, Zhoujian Cao:
Improved deep learning techniques in gravitational-wave data analysis. - Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan:
ACED: Accelerated Computational Electrochemical systems Discovery. - Yahui Zhang, Joshua Robertson, Shuiying Xiang, Matej Hejda, Julián Bueno, Antonio Hurtado:
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes. - Titouan Vayer:
A contribution to Optimal Transport on incomparable spaces. - Fabian Hübner, Wolfgang Mack, Emanuël A. P. Habets:
Efficient Training Data Generation for Phase-Based DOA Estimation. - Réka Á. Kovács, Oktay Günlük, Raphael A. Hauser:
Binary Matrix Factorisation via Column Generation. - Ángel F. García-Fernández, Jason L. Williams, Lennart Svensson, Yuxuan Xia:
A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets. - Oleg V. Michailovich, Rinat Mukhometzianov:
Towards a quantitative assessment of neurodegeneration in Alzheimer's disease. - Nikos Tsilivis, Anastasios Tsiamis, Petros Maragos:
Sparse Approximate Solutions to Max-Plus Equations with Application to Multivariate Convex Regression. - Enoch Sakyi-Yeboah, P. S. Andam, Louis Asiedu, Kwabena Doku-Amponsah:
Large Deviations, Sharron-McMillan-Breiman Theorem for Super-Critical Telecommunication Networks. - Nathan E. Glatt-Holtz, Justin A. Krometis, Cecilia F. Mondaini:
On the accept-reject mechanism for Metropolis-Hastings algorithms. - Hassan Arbabi, Ioannis G. Kevrekidis:
Particles to Partial Differential Equations Parsimoniously. - Hung V. Vu, Zheyu Liu, Duy H. N. Nguyen, Robert Morawski, Tho Le-Ngoc:
Multi-Agent Reinforcement Learning for Joint Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems. - Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy:
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel. - Armin Mehri, Parichehr Behjati Ardakani, Angel Domingo Sappa:
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. - Wolfgang Mack, Mohamed Elminshawi, Emanuël A. P. Habets:
Guided Source Separation. - Elias Chaibub Neto:
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners. - Ararat Shaverdian, Shahram Shahsavari, Catherine Rosenberg:
A General Framework for Airplane Air-to-Ground Communications in mmWave and Microwave Bands. - Milán Mosonyi, Zsombor Szilágyi, Mihály Weiner:
On the error exponents of binary quantum state discrimination with composite hypotheses. - Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models. - Sumeet Khatri, Mark M. Wilde:
Principles of Quantum Communication Theory: A Modern Approach. - Omkar Ranadive, Suzan van der Lee, Vivian Tang, Kevin Chao:
Applying Machine Learning to Crowd-sourced Data from Earthquake Detective. - Marco Paini, Amir Kalev, Dan Padilha, Brendan Ruck:
Estimating expectation values using approximate quantum states. - Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard, Jevgenij Gamper:
Predicting Landsat Reflectance with Deep Generative Fusion. - Arunesh Mittal, Paul Sajda, John W. Paisley:
Deep Bayesian Nonparametric Factor Analysis. - Siddha Ganju, Anirudh Koul, Alexander Lavin, Josh Veitch-Michaelis, Meher Kasam, James Parr:
Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA. - Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig:
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR. - Ding Zhou, Xue-Xin Wei:
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE. - Mikhail Krinitskiy, Polina Verezemskaya, Svyatoslav Elizarov, Sergey Gulev:
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions. - Philip Greengard, Andrew Gelman, Aki Vehtari:
A Fast Linear Regression via SVD and Marginalization. - Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao:
Hypothesis testing with active information. - Soroosh Tayebi Arasteh:
Generalized LSTM-based End-to-End Text-Independent Speaker Verification. - Samson Abramsky:
Contextuality: At the Borders of Paradox. - Paxton Turner, Jingbo Liu, Philippe Rigollet:
A Statistical Perspective on Coreset Density Estimation. - David Gamarnik:
Correlation Decay and the Absence of Zeros Property of Partition Functions. - Paxton Turner, Jingbo Liu, Philippe Rigollet:
Efficient Interpolation of Density Estimators. - Ingrid Holte, Ankit Srivastava, Emilio Martínez-Pañeda, Christian F. Niordson, Kim L. Nielsen:
Interaction of void spacing and material size effect on inter-void flow localisation. - Merlin Carl, Philipp Schlicht, Philip D. Welch:
Decision times of infinite computations. - Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, C. Victor Jiji, Hrishikesh P. S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M. B, Minnu A. L, Sanjana A. R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou:
AIM 2020 Challenge on Rendering Realistic Bokeh. - Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl, Kris Dreher, Jan-Hinrich Nölke, Alexander Seitel, Minu Dietlinde Tizabi, Beat P. Müller-Stich, Lena Maier-Hein:
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern. - Philipp Krah, Thomas Engels, Kai Schneider, Julius Reiss:
Wavelet Adaptive Proper Orthogonal Decomposition for Large Scale Flow Data. - Baudouin Denis de Senneville, Pierrick Coupé, Mario Ries, Laurent Facq, Chrit T. W. Moonen:
Deep correction of breathing-related artifacts in MR-thermometry. - Haoyu Li, Yang Ai, Junichi Yamagishi:
Enhancing Low-Quality Voice Recordings Using Disentangled Channel Factor and Neural Waveform Model. - Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone:
Sparse within Sparse Gaussian Processes using Neighbor Information. - Nicolas Chiabaut, Rémi Faitout:
Traffic congestion and travel time prediction based on historical congestion maps and identification of consensual days. - Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo:
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems. - Mikhail Papkov, Kenny Roberts, Lee Ann Madissoon, Ömer Bayraktar, Dmytro Fishman, Kaupo Palo, Leopold Parts:
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data. - Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. - Alexandra Gallyas-Sanhueza, Christoph Studer:
Blind SNR Estimation and Nonparametric Channel Denoising in Multi-Antenna mmWave Systems. - Soren Nelson, Rajesh Menon:
Classification of optics-free images with deep neural networks. - Danilo Numeroso, Davide Bacciu:
Explaining Deep Graph Networks with Molecular Counterfactuals. - Ankit Singhal:
Application and Comparison of Deep Learning Methods in the Prediction of RNA Sequence Degradation and Stability. - Aditi Deokar:
Stratification of Systemic Lupus Erythematosus Patients Using Gene Expression Data to Reveal Expression of Distinct Immune Pathways. - Eva van Weenen, Stefan Feuerriegel:
Estimating Risk-Adjusted Hospital Performance. - Guanghui Xu, Wei Song, Zhengchen Zhang, Chao Zhang, Xiaodong He, Bowen Zhou:
Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis. - Meredith L. Rawls, Heidi B. Thiemann, Victor Chemin, Lucianne Walkowicz, Mike W. Peel, Yan G. Grange:
Satellite Constellation Internet Affordability and Need. - Guillaume Bertoli, Christophe Besse, Gilles Vilmart:
Superconvergence of the Strang splitting when using the Crank-Nicolson scheme for parabolic PDEs with oblique boundary conditions. - Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. - Elliott Gordon-Rodríguez, Gabriel Loaiza-Ganem, Geoff Pleiss, John P. Cunningham:
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning. - Marion Ullmo, Aurélien Decelle, Nabila Aghanim:
Encoding large scale cosmological structure with Generative Adversarial Networks. - Itai Arieli, Fedor Sandomirskiy, Rann Smorodinsky:
On social networks that support learning. - Fotis Iliopoulos, Ilias Zadik:
Group testing and local search: is there a computational-statistical gap? - Piotr Beben:
Topology of Frame Field Design for Hex Meshing. - Jiun Lee, Joongkyu Kim:
EPSR: Edge Profile Super resolution. - Alexander Ritchie, Laura Balzano, Clayton D. Scott:
Supervised PCA: A Multiobjective Approach. - Ogun Yurdakul, Fikret Sivrikaya, Sahin Albayrak:
A Distributionally Robust Optimization Approach for Unit Commitment in Microgrids. - Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. - Barbara Franci, Sergio Grammatico:
Stochastic generalized Nash equilibrium seeking under partial-decision information. - Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Gaussian Compression Stream: Principle and Preliminary Results. - Efstathios Bakolas:
Minimum Variance and Covariance Steering Based on Affine Disturbance Feedback Control Parameterization. - Qi Tang, Vardaan Kishore Kumar:
Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success. - Azam Hamidinekoo, Tomasz Pieciak, Maryam Afzali, Otar Akanyeti, Yinyin Yuan:
Glioma Classification Using Multimodal Radiology and Histology Data. - Sami Boulebnane:
Improving the Quantum Approximate Optimization Algorithm with postselection. - Abinav Ravi Venkatakrishnan, Seong Tae Kim, Rami Eisawy, Franz Pfister, Nassir Navab:
Self-Supervised Out-of-Distribution Detection in Brain CT Scans. - Nikolai Krivulin:
Using parameter elimination to solve discrete linear Chebyshev approximation problems. - Carla Sofia Carvalho:
A deep-learning classifier for cardiac arrhythmias. - Amitabh Basu, Michele Conforti, Marco Di Summa, Hongyi Jiang:
Complexity of branch-and-bound and cutting planes in mixed-integer optimization - II. - Zhengyang Lu, Ying Chen:
Dense U-net for super-resolution with shuffle pooling layer. - Prasan A. Shedligeri, Anupama S, Kaushik Mitra:
A Unified Framework for Compressive Video Recovery from Coded Exposure Techniques. - Robin Scheibler, Masahito Togami:
Surrogate Source Model Learning for Determined Source Separation. - Sagar Kora Venu:
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images. - Chang Liu, Xuemeng Liu, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Ying-Chang Liang:
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications. - Steven Heilman, Alex Tarter:
Three Candidate Plurality is Stablest for Small Correlations. - Andrew Geiss, Joseph C. Hardin:
Invertible CNN-Based Super Resolution with Downsampling Awareness. - Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo:
A Nonconvex Framework for Structured Dynamic Covariance Recovery. - Li Yuan, Will Xiao, Gabriel Kreiman, Francis E. H. Tay, Jiashi Feng, Margaret S. Livingstone:
Adversarial images for the primate brain. - Hongfeng Li:
Skin disease diagnosis with deep learning: a review. - David de Boer, Pjotr Buys, Guus Regts:
Uniqueness of the Gibbs measure for the 4-state anti-ferromagnetic Potts model on the regular tree. - Huahuan Zheng, Keyu An, Zhijian Ou:
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients. - François Culière, Laetitia Leduc, Alexander Belikov:
Bayesian model of electrical heating disaggregation. - Yupan Liu:
StoqMA meets distribution testing. - Sven Baars, D. Castellana, Fred W. Wubs, Henk A. Dijkstra:
Application of Adaptive Multilevel Splitting to High-Dimensional Dynamical Systems. - Umut Özkaya, Saban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat:
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines. - Szu-Chi Chung, Cheng-Yu Hung, Huei-Lun Siao, Hung-Yi Wu, Wei-Hau Chang, I-Ping Tu:
Cryo-RALib - a modular library for accelerating alignment in cryo-EM. - Matthew Garrod, Nick S. Jones:
Influencing dynamics on social networks without knowledge of network microstructure. - Yi Gu, Yuting Gao, Jie Li, Chentao Wu, Weijia Jia:
Generative and Discriminative Learning for Distorted Image Restoration. - Tamás Kriváchy, Yu Cai, Joseph Bowles, Daniel Cavalcanti, Nicolas Brunner:
Fast semidefinite programming with feedforward neural networks. - Naira Elazab, Hassan Soliman, Shaker H. Ali El-Sappagh, S. M. Riazul Islam, Mohammed Elmogy:
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends. - Sambuddha Ghosal, Pratik Shah:
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images. - Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao, Jean-Eudes J. Dazard:
Mode hunting through active information. - Francesco Borra, Marco Baldovin:
Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps. - Arash Broumand:
Application of Compromising Evolution in Multi-objective Image Error Concealment. - Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe:
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. - Jing Mu, Ying Tan, David B. Grayden, Denny Oetomo:
Multi-Frequency Canonical Correlation Analysis (MFCCA): An Extended Decoding Algorithm for Multi-Frequency SSVEP. - Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. - Jiangdong Ai, Stefanie Gerke, Gregory Z. Gutin:
Note on 4-Kings in Bipartite Hypertournaments. - Marta Avalos Fernandez, Hélène Touchais, Marcela Henríquez-Henríquez:
A decision-making tool to fine-tune abnormal levels in the complete blood count tests. - Yvain Bruned, Dominique Manchon:
Algebraic deformation for (S)PDEs. - Anders Martinsson, Pascal Su:
Mastermind with a Linear Number of Queries. - Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári:
Asymptotically Optimal Information-Directed Sampling. - Christoph Hirche, Cambyse Rouzé, Daniel Stilck França:
On contraction coefficients, partial orders and approximation of capacities for quantum channels. - Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet:
(f, Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics. - Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. - HaiYing Wang, Jae Kwang Kim:
Maximum sampled conditional likelihood for informative subsampling. - Niall Jeffrey, Benjamin D. Wandelt:
Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks. - Dylan J. Fitzpatrick, Wilpen L. Gorr, Daniel B. Neill:
Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment. - Anwesh Reddy Gottu Mukkula, Michal Mateás, Miroslav Fikar, Radoslav Paulen:
Robust multi-stage model-based design of optimal experiments for nonlinear estimation. - Joshua Tobin, Mimi Zhang:
Clustering of Big Data with Mixed Features. - Nils Müller, Tobias Glasmachers:
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation. - Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jennifer L. Chen, Harry Reyes Nieva, Noémie Elhadad:
Exploring Gender Disparities in Time to Diagnosis. - Sankaran Panchapagesan, Daniel S. Park, Chung-Cheng Chiu, Yuan Shangguan, Qiao Liang, Alexander Gruenstein:
Efficient Knowledge Distillation for RNN-Transducer Models. - Matthew Zalesak, Samitha Samaranayake:
SEIR-Campus: Modeling Infectious Diseases on University Campuses. - Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren:
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays. - Jiafeng Chen, Daniel L. Chen, Greg Lewis:
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models. - Yunbei Xu, Assaf Zeevi:
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory. - Jiacheng Wang, Weiheng Li:
Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM. - Christos Tzamos, Emmanouil V. Vlatakis-Gkaragkounis, Ilias Zadik:
Optimal Private Median Estimation under Minimal Distributional Assumptions. - Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto:
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. - Si Ioi Ng, Wei Liu, Zhiyuan Peng, Siyuan Feng, Hing-Pang Huang, Odette Scharenborg, Tan Lee:
The CUHK-TUDELFT System for The SLT 2021 Children Speech Recognition Challenge. - Matthew Bold, Marc Goerigk:
Recoverable Robust Single Machine Scheduling with Budgeted Uncertainty. - Huan Qing, Jingli Wang:
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel. - Stephen McAleer, Alex Fast, Yuntian Xue, Magdalene Seiler, William Tang, Mihaela Balu, Pierre Baldi, Andrew W. Browne:
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging. - Lahiru D. Chamain, Fabien Racapé, Jean Bégaint, Akshay Pushparaja, Simon Feltman:
End-to-end optimized image compression for machines, a study. - Philip D. Waggoner, Alec Macmillen:
Pursuing Open-Source Development of Predictive Algorithms: The Case of Criminal Sentencing Algorithms. - Saieed Akbari, Sebastian M. Cioaba, Samira Goudarzi, Aidin Niaparast, Artin Tajdini:
On a question of Haemers regarding vectors in the nullspace of Seidel matrices. - Anna Farkas, Renáta Németh:
How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points. - Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. - Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Kernel k-Means, By All Means: Algorithms and Strong Consistency. - Chung-Ming Chien, Hung-yi Lee:
Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis. - Alessandro Luongo, Changpeng Shao:
Quantum algorithms for spectral sums. - Evan Munro:
Learning to Personalize Treatments When Agents Are Strategic. - João F. Doriguello, Ashley Montanaro:
Quantum Random Access Codes for Boolean Functions. - P. V. Muhammed Shifas, Anna Sfakianaki, Theognosia Chimona, Yannis Stylianou:
Evaluating the Intelligibility Benefits of Neural Speech Enrichment for Listeners with Normal Hearing and Hearing Impairment using the Greek Harvard Corpus. - Elvis Dohmatob:
Implicit bias of any algorithm: bounding bias via margin. - Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe:
A partition-based similarity for classification distributions. - Farzin Salek, Masahito Hayashi, Andreas J. Winter:
When are Adaptive Strategies in Asymptotic Quantum Channel Discrimination Useful? - Michael B. Cohen, Aaron Sidford, Kevin Tian:
Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration. - Ronaldo Garcia, Dan Reznik:
Invariants of Self-Intersected and Inversive N-Periodics in the Elliptic Billiard. - Florian Schiffers, Thomas Bochynek, André Aichert, Tobias Würfl, Michael Rubenstein, Oliver Cossairt:
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom. - Jun Zhang, Yao-Kun Lei, Zhen Zhang, Xu Han, Maodong Li, Lijiang Yang, Yi Isaac Yang, Yi Qin Gao:
Deep Reinforcement Learning of Transition States. - Nadee Seneviratne, Carol Y. Espy-Wilson:
Deep Learning Based Generalized Models for Depression Classification. - Yuri Faenza, Xuan Zhang:
Affinely representable lattices, stable matchings, and choice functions. - Giulia Bressan, Selina Christin Wriessnegger, Giulia Cisotto:
Deep learning-based classification of fine hand movements from low frequency EEG. - Hannah Marienwald, Jean-Baptiste Fermanian, Gilles Blanchard:
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding. - Lucas Chesnel, Sergei A. Nazarov:
Design of an acoustic energy distributor using thin resonant slits. - Otmane Sakhi, Louis Faury, Flavian Vasile:
Improving Offline Contextual Bandits with Distributional Robustness. - Benjamin Gallois, Raphaël Candelier:
FastTrack: an open-source software for tracking varying numbers of deformable objects. - Ronny Ramlau, Bernadett Stadler:
An augmented wavelet reconstructor for atmospheric tomography. - Georgios M. Nikolopoulos, Marc Fischlin:
Information-theoretically secure data origin authentication with quantum and classical resources. - Tina Krell, Fabian Braesemann, Fabian Stephany, Nicolas Friederici, Philip Meier:
A Mixed-Method Landscape Analysis of SME-focused B2B Platforms in Germany. - Petar Solic, Ante Lojic Kapetanovic, Tomislav Zupanovic, Ivo Kovacevic, Toni Perkovic, Petar Popovski:
IoT Wallet: Machine Learning-based Sensor Portfolio Application. - Giulia Cisotto:
REPAC: Reliable estimation of phase-amplitude coupling in brain networks. - Zijun Han, Zhaoming Lu, Xiangming Wen, Wei Zheng, Jingbo Zhao, Lingchao Guo:
CentiTrack: Towards Centimeter-Level Passive Gesture Tracking with Commodity WiFi. - Ali Alavi:
Neural network for estimation of optical characteristics of optically active and turbid scattering media. - Antonio Cossidente, Giuseppe Marino, Francesco Pavese:
On symmetric and Hermitian rank distance codes. - Guanwen Qiu, Xiaobing Yu, Baolin Sun, Yunpeng Wang, Lipei Zhang:
Metastatic Cancer Image Classification Based On Deep Learning Method. - Markus Bachmayr, Ana Djurdjevac:
Multilevel Representations of Isotropic Gaussian Random Fields on the Sphere. - Xavier Bonnetain, Samuel Jaques:
Quantum Period Finding against Symmetric Primitives in Practice. - Jörg Sander, Bob D. de Vos, Ivana Isgum:
Automatic segmentation with detection of local segmentation failures in cardiac MRI. - Amith Ananthram, Kailash Karthik Saravanakumar, Jessica Huynh, Homayoon S. M. Beigi:
Multi-Modal Emotion Detection with Transfer Learning. - Nikhil Bansal, David G. Harris:
Some remarks on hypergraph matching and the Füredi-Kahn-Seymour conjecture. - Florian Fischer, Miroslav Bachinski, Markus Klar, Arthur Fleig, Jörg Müller:
Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity. - Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo:
Convergence Properties of Stochastic Hypergradients. - Brandon Buncher, Awshesh Nath Sharma, Matias Carrasco Kind:
Survey2Survey: A deep learning generative model approach for cross-survey image mapping. - James S. Spencer, David Pfau, Aleksandar Botev, W. Matthew C. Foulkes:
Better, Faster Fermionic Neural Networks. - Abhishek Chakraborty, Ketan Rajawat, Alec Koppel:
Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent. - Sayantan Choudhury, Ankan Dutta, Debisree Ray:
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning. - Evgenii Chzhen, Nicolas Schreuder:
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression. - A. Leitao, Otmar Scherzer:
On the relation between constraint regularization, level sets, and shape optimization. - Ruipeng Guo, Soren Nelson, Rajesh Menon:
A needle-based deep-neural-network camera. - Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho:
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. - Mohammad Taha Toghani, Genevera I. Allen:
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling. - Wai Hong Ronald Chan, Michael S. Dodd, Perry L. Johnson, Parviz Moin:
Identifying and tracking bubbles and drops in simulations: a toolbox for obtaining sizes, lineages, and breakup and coalescence statistics. - Metod Jazbec, Michael Pearce, Vincent Fortuin:
Factorized Gaussian Process Variational Autoencoders. - Serkan Sulun, Matthew E. P. Davies:
On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks. - Lukas Burgholzer, Richard Kueng, Robert Wille:
Random Stimuli Generation for the Verification of Quantum Circuits. - Matthias Grimm, Javier Esteban, Mathias Unberath, Nassir Navab:
Pose-dependent weights and Domain Randomization for fully automatic X-ray to CT Registration. - Philip K. Kristensen, Christian F. Niordson, Emilio Martínez-Pañeda:
Applications of phase field fracture in modelling hydrogen assisted failures. - Eli Moore, Rishidev Chaudhuri:
Using noise to probe recurrent neural network structure and prune synapses. - Benedikt Graf, Arkadiusz Sitek, Amin Katouzian, Yen-Fu Lu, Arun Krishnan, Justin Rafael, Kirstin Small, Yiting Xie:
Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax. - Arunesh Mittal, Scott W. Linderman, John W. Paisley, Paul Sajda:
Bayesian recurrent state space model for rs-fMRI. - Quntao Zhuang, Bingzhi Zhang:
Quantum communication capacity transition of complex quantum networks. - Jincheng Bai, Qifan Song, Guang Cheng:
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee. - Cristian Podesta, Natalie Coleman, Amir Esmalian, Faxi Yuan, Ali Mostafavi:
Quantifying Community Resilience Based on Fluctuations in Visits to Point-of-Interest from Digital Trace Data. - Zahra Esmaeilbeig, Shahin Khobahi, Mojtaba Soltanalian:
Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA. - Shengjia Zhao, Stefano Ermon:
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration. - Minh Ha Quang:
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes. - Peng Zhang, Yongchun Fang, Xiao Liang, He Lin, Wei He:
Nonlinear Cooperative Control of Double Drone-Bar Transportation System. - Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu:
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. - Ekaterina Trimbach, Rogozin Alexander:
Acceleration of stochastic methods on the example of decentralized SGD. - Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun:
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. - Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI. - Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra:
Accelerating Distributed SGD for Linear Linear Regression using Iterative Pre-Conditioning. - Uri Shaham, Jonathan Svirsky:
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities. - Jiaju Miao, Wei Zhu:
Precision-Recall Curve (PRC) Classification Trees. - Xujun Liu, Olgica Milenkovic:
Finding the Second-Best Candidate under the Mallows Model. - Julian Koellermeier, Ernesto Pimentel-García:
Steady States and Well-balanced Schemes for Shallow Water Moment Equations with Topography. - He Lyu, Rongrong Wang:
An exact sinΘ formula for matrix perturbation analysis and its applications. - Muhammad Ariful Furqon, Nina Fadilah Najwa, Endah Septa Sintiya, Erista Maya Safitri, Iqbal Ramadhani Mukhlis:
Critical data analysis of COVID-19 spreading in Indonesia to measure the readiness of new-normal policy. - Udari Madhushani, Naomi Ehrich Leonard:
Distributed Bandits: Probabilistic Communication on d-regular Graphs. - Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong:
Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment. - Shota Horiguchi, Yusuke Fujita, Kenji Nagamatsu:
Block-Online Guided Source Separation. - David Gillespie, Connah Kendrick, Ian Boon, Cheng Boon, Tim Rattay, Moi Hoon Yap:
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective. - Ville Salo:
Conjugacy of reversible cellular automata. - Meichen Guo, Claudio De Persis, Pietro Tesi:
Data-driven stabilization of nonlinear polynomial systems with noisy data. - Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification based on GLRT. - William J. DeMeo, Ralph Freese, Matthew Valeriote:
Polynomial-time Tests for Difference Terms in Idempotent Varieties. - Masashi Tsubaki, Teruyasu Mizoguchi:
Quantum deep field: data-driven wave function, electron density generation, and atomization energy prediction and extrapolation with machine learning. - Zheng Zhou, Bing Tan, Songxiao Li:
Several self-adaptive inertial projection algorithms for solving split variational inclusion problems. - Domonkos Varga:
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions. - Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza:
Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils. - Songxiao Li, Bing Tan, Zheng Zhou:
Self-adaptive-type CQ algorithms for split equality problems. - Tiago Mendonça Lucena de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva:
Circuit-based quantum random access memory for classical data with continuous amplitudes. - Bulut Tekgül, Petteri Peltonen, Heikki Kahila, Ossi Kaario, Ville Vuorinen:
DLBFoam: An open-source dynamic load balancing model for fast reacting flow simulations in OpenFOAM. - Ilia Igashov, Nikita Pavlichenko, Sergei Grudinin:
Spherical convolutions on molecular graphs for protein model quality assessment. - Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski:
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. - Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. - Sidra Mehtab, Jaydip Sen, Subhasis Dasgupta:
Analysis and Forecasting of Financial Time Series Using CNN and LSTM-Based Deep Learning Models. - Zahra Baghali Khanian, Manabendra Nath Bera, Arnau Riera, Maciej Lewenstein, Andreas J. Winter:
Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics. - Yifan Jing, Bojan Mohar:
Efficient polynomial-time approximation scheme for the genus of dense graphs. - Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. - Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. - Kasyap Chakravadhanula:
Smartphone-Based Test and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes. - Sonja Petrovic, Shahrzad Jamshidi Zelenberg:
Threaded Gröbner Bases: a Macaulay2 package. - Mou-Cheng Xu:
Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery. - Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis:
Coarse-grained and emergent distributed parameter systems from data. - Matteo Tacchi:
Convergence of Lasserre's hierarchy: the general case. - Zheyu Wen:
Temporal Dynamic Model for Resting State fMRI Data: A Neural Ordinary Differential Equation approach. - Irena Barjasic, Hrvoje Stefancic, Vedrana Pribicevic, Vinko Zlatic:
Causal motifs and existence of endogenous cascades in directed networks with application to company defaults. - Stephen Melczer, Marc Mezzarobba:
Sequence Positivity Through Numeric Analytic Continuation: Uniqueness of the Canham Model for Biomembranes. - Joel Rajakumar, Jai Moondra, Swati Gupta, Creston D. Herold:
Generating Target Graph Couplings for QAOA from Native Quantum Hardware Couplings. - Davide Viviano:
Policy choice in experiments with unknown interference. - Diego Granziol, Samuel Albanie, Xingchen Wan, Stephen J. Roberts:
Explaining the Adaptive Generalisation Gap. - Wei Xiao, Calin Belta, Christos G. Cassandras:
Sufficient Conditions for Feasibility of Optimal Control Problems Using Control Barrier Functions. - Ziqi Ke, Haris Vikalo:
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder. - Krisztián Dsupin, Szabolcs Tengely:
Discrete logarithm problem in some families of sandpile groups. - Daisuke Inoue, Yuji Ito, Hiroaki Yoshida:
Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method. - Liu Chen, Meysam Asgari:
Refining Automatic Speech Recognition System for older adults. - Yuetian Luo, Wen Huang, Xudong Li, Anru R. Zhang:
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence. - Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images. - Mohamed-Ali Belabbas, Xudong Chen:
On Integer Balancing of Digraphs. - Asuka Takatsu:
Change the coefficients of conditional entropies in extensivity. - Jasper C. H. Lee, Paul Valiant:
Optimal Sub-Gaussian Mean Estimation in R. - Qingfeng Ding, Xinpeng Gao, Zexiang Wu:
Joint Resource Optimization for IRS-Assisted mmWave MIMO under QoS Constraints. - Yi Luo, Cong Han, Nima Mesgarani:
Ultra-Lightweight Speech Separation via Group Communication. - Yi Luo, Zhuo Chen, Cong Han, Chenda Li, Tianyan Zhou, Nima Mesgarani:
Rethinking the Separation Layers in Speech Separation Networks. - Yi Luo, Nima Mesgarani:
Implicit Filter-and-sum Network for Multi-channel Speech Separation. - Ryan E. Grady, Anna Schenfisch:
Natural Stratifications of Reeb Spaces and Higher Morse Functions. - Georgios Kotsalis, Guanghui Lan, Tianjiao Li:
Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning. - Shusen Pu, Peter J. Thomas:
Resolving Molecular Contributions of Ion Channel Noise to Interspike Interval Variability through Stochastic Shielding. - Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski:
Assessing Wireless Sensing Potential with Large Intelligent Surfaces. - Xi Wang, Huaiping Ming, Lei He, Frank K. Soong:
s-Transformer: Segment-Transformer for Robust Neural Speech Synthesis. - Hamza Osman Ilhan, Gorkem Serbes, Nizamettin Aydin:
Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets. - Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch:
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. - Daniel Dadush, Christopher Hojny, Sophie Huiberts, Stefan Weltge:
Simple Iterative Methods for Linear Optimization over Convex Sets. - Qian Huang, Julian Koellermeier, Wen-An Yong:
Equilibrium Stability Analysis of Hyperbolic Shallow Water Moment Equations. - Jakiw Pidstrigach:
Convergence of Preconditioned Hamiltonian Monte Carlo on Hilbert Spaces. - Ashley Montanaro, Changpeng Shao:
Quantum algorithms for learning graphs and beyond. - Haikal Abdulah, Benjamin Huber, Sinan Lal, Hassan Abdallah, Hamid Soltanian-Zadeh, Domenico L. Gatti:
Lung Segmentation in Chest X-rays with Res-CR-Net. - Corneel Casert, Tom Vieijra, Stephen Whitelam, Isaac Tamblyn:
Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz. - Henry von Wahl, Thomas Richter, Stefan Frei, Thomas Hagemeier:
Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data. - Zaccharie Ramzi, Benjamin Remy, François Lanusse, Jean-Luc Starck, Philippe Ciuciu:
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems. - Alexander A. Alemi, Warren R. Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon:
VIB is Half Bayes. - Mizu Nishikawa-Toomey, Lewis Smith, Yarin Gal:
Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders. - Seongyong Park, Shujaat Khan, Muhammad Moinuddin, Ubaid M. Al-Saggaf:
GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications. - Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi:
Confounding Feature Acquisition for Causal Effect Estimation. - Ke Zhang, Xiahai Zhuang:
Recognition and standardization of cardiac MRI orientation via multi-tasking learning and deep neural networks. - Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles:
Optimizing parametrized quantum circuits via noise-induced breaking of symmetries. - Yuncheng Zhou, Ke Zhang, Xinzhe Luo, Sihan Wang, Xiahai Zhuang:
Anatomy Prior Based U-net for Pathology Segmentation with Attention. - Karla Burelo, Mohammadali Sharifshazileh, Niklaus Krayenbühl, Georgia Ramantani, Giacomo Indiveri, Johannes Sarnthein:
A Spiking Neural Network (SNN) for detecting High Frequency Oscillations (HFOs) in the intraoperative ECoG. - Naresh Nandakumar, Niharika Shimona D'Souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity. - Giulio Imbalzano, Yongbin Zhuang, Venkat Kapil, Kevin Rossi, Edgar A. Engel, Federico Grasselli, Michele Ceriotti:
Uncertainty estimation by committee models for molecular dynamics and thermodynamic averages. - Georgios K. Papageorgiou, Mathini Sellathurai, Yonina C. Eldar:
Deep Networks for Direction-of-Arrival Estimation in Low SNR. - Rachel Lea Draelos, Lawrence Carin:
HiResCAM: Explainable Multi-Organ Multi-Abnormality Prediction in 3D Medical Images. - Maxim V. Dolgopolik:
The alternating direction method of multipliers for finding the distance between ellipsoids. - Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Gregory S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel:
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning. - Ben Marinberg, Ariel Cohen, Eilam Ben-Dror, Haim H. Permuter:
A Study on MIMO Channel Estimation by 2D and 3D Convolutional Neural Networks. - Xu Li, Jingjing Huang, Yibo Lyu, Rui Ni, Jiajin Luo, Junping Zhang:
Two Types of Mixed Orthogonal Frequency Division Multiplexing (X-OFDM) Waveform for Optical Wireless Communication. - Jiakuo Zuo, Yuanwei Liu, Naofal Al-Dhahir:
Reconfigurable Intelligent Surface Assisted Cooperative Non-orthogonal Multiple Access Systems. - Yun Zhu:
Efficient Sensor Management for Multitarget Tracking in Passive Sensor Networks via Cauchy-Schwarz Divergence. - Nemath Ahmed, Aashit Singh, Srivyshnav KS, Gulshan Kumar, Gaurav Parchani, Vibhor Saran:
Classification Of Sleep-Wake State In A Ballistocardiogram System Based On Deep Learning. - Alan Rezazadeh:
Environmental Pollution Prediction of NOx by Process Analysis and Predictive Modelling in Natural Gas Turbine Power Plants. - Alexander Paulus, Jonas Kornprobst, Josef Knapp, Thomas F. Eibert:
Linear Phase Retrieval for Near-Field Measurements with Locally Known Phase Relations. - Xiangyu Gao, Guanbin Xing, Sumit Roy, Hui Liu:
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition. - Zaid Bin Tariq, Arun Iyengar, Lara Marcuse, Hui Su, Bülent Yener:
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording. - Xinyu Dou, Cuijuan Liao, Hengqi Wang, Ying Huang, Ying Tu, Xiaomeng Huang, Yiran Peng, Biqing Zhu, Jianguang Tan, Zhu Deng, Nana Wu, Taochun Sun, Piyu Ke, Zhu Liu:
Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches. - Manuel A. Florez, Michaelangelo Caporale, Pakpoom Buabthong, Zachary E. Ross, Domniki Asimaki, Men-Andrin Meier:
Data-driven Accelerogram Synthesis using Deep Generative Models. - Charley Gros, Andréanne Lemay, Julien Cohen-Adad:
SoftSeg: Advantages of soft versus binary training for image segmentation. - Bhuvan Agrawal, Markus Müller, Martin Radfar, Samridhi Choudhary, Athanasios Mouchtaris, Siegfried Kunzmann:
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding. - Alexander J. Nettekoven, Scott Fish, Joseph Beaman, Ufuk Topcu:
Towards online monitoring and data-driven control: a study of segmentation algorithms for infrared images of the powder bed. - Ke Wang, Christos Thrampoulidis:
Benign Overfitting in Binary Classification of Gaussian Mixtures. - Zhaoheng Ni, Yong Xu, Meng Yu, Bo Wu, Shi-Xiong Zhang, Dong Yu, Michael I. Mandel:
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and Dereverberation. - Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama:
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective. - Di Ma, Fan Zhang, David R. Bull:
CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement. - Julian Berberich, Stefan Wildhagen, Michael Hertneck, Frank Allgöwer:
Data-driven analysis and control of continuous-time systems under aperiodic sampling. - Fahdi Kanavati, Shin Ichihara, Michael Rambeau, Osamu Iizuka, Koji Arihiro, Masayuki Tsuneki:
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images. - Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification. - Vineeth S. Varma, Samson Lasaulce, Julien Mounthanyvong, Irinel-Constantin Morarescu:
Allocating marketing resources over social networks: A long-term analysis. - Meemnur Rashid, Kaisar Ahmed Alman, Khaled Hasan, John H. L. Hansen, Taufiq Hasan:
Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features. - Suchithra Rajendran:
A Simulation-based Optimization Approach to Efficiently Route Air Taxis in a Cyber-Physical Network. - Ingvar M. Ziemann, Henrik Sandberg:
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix. - Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin:
Noise-Resilient Automatic Interpretation of Holter ECG Recordings. - Mark Jeeninga, Claudio De Persis, Arjan van der Schaft:
DC power grids with constant-power loads - Part II: nonnegative power demands, conditions for feasibility, and high-voltage solutions. - A. Max Reppen, H. Mete Soner:
Bias-Variance Trade-off and Overlearning in Dynamic Decision Problems. - Gurcan Comert, Negash Begashaw:
Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters. - Osman Musa, Peter Jung, Giuseppe Caire:
Plug-And-Play Learned Gaussian-mixture Approximate Message Passing. - Gurcan Comert, Mecit Cetin:
Queue Length Estimation at Traffic Signals: Connected Vehicles with Range Measurement Sensors. - Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya:
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR. - Abhishek Kumar, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Adaptive Contention Window Design using Deep Q-learning. - David R. Burt, Sebastian W. Ober, Adrià Garriga-Alonso, Mark van der Wilk:
Understanding Variational Inference in Function-Space. - Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Distributed Scheduling using Graph Neural Networks. - Kelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael S. Beauchamp, Genevera I. Allen:
Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data. - Stefan Bittihn, Andreas Schadschneider:
The Effect of Modern Traffic Information on Braess' Paradox. - Austin R. Dulaney, John F. Brady:
Machine Learning for Phase Behavior in Active Matter Systems. - He Guo, Kalen Patton, Lutz Warnke:
Prague dimension of random graphs. - Shintaro Fukushima, Kenji Yamanishi:
Detecting Hierarchical Changes in Latent Variable Models. - Gurcan Comert, Negash Begashaw, Nathan Huynh:
Improved Grey System Models for Predicting Traffic Parameters. - Zixin Huang, Siddarth Koduru Joshi, Djeylan Aktas, Cosmo Lupo, Armanda Ottaviano Quintavalle, Natarajan Venkatachalam, Sören Wengerowsky, Martin Loncaric, Sebastian Philipp Neumann, Bo Liu, Zeljko Samec, Laurent Kling, Mario Stipcevic, Rupert Ursin, John G. Rarity:
Experimental implementation of secure anonymous protocols on an eight-user quantum network. - András Gilyén, Umesh V. Vazirani:
(Sub)Exponential advantage of adiabatic quantum computation with no sign problem. - Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti:
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. - Mitchell Khoo, Tony A. Wood, Chris Manzie, Iman Shames:
A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem. - Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang:
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance. - Meng Ge, Chenglin Xu, Longbiao Wang, Eng Siong Chng, Jianwu Dang, Haizhou Li:
Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals. - Won Jang, Dan Lim, Jaesam Yoon:
Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains. - Teresa Rexin, Mason A. Porter:
Finding Your Way: Shortest Paths on Networks. - Alexandre Barbosa de Lima, Maurício Barbosa Camargo De Salles, José Roberto Cardoso:
State-of-charge Estimation of a Li-ion Battery using Deep Learning and Stochastic Optimization. - Sabrina Enriquez, Fushing Hsieh:
Categorical exploratory data analysis on goodness-of-fit issues. - Seyed Shakib Vedaie, Moslem Noori, Jaspreet S. Oberoi, Barry C. Sanders, Ehsan Zahedinejad:
Quantum Multiple Kernel Learning. - Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Devasahayam J. Christopher, Balamugesh Thangakunam:
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images. - Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution. - Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. - Pieter Kleer, Viresh Patel, Fabian Stroh:
Switch-based Markov Chains for Sampling Hamiltonian Cycles in Dense Graphs. - Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems. - Maryam MeshkinKiya, Riccardo Paolini:
Preparing Weather Data for Real-Time Building Energy Simulation. - Marc Goerigk, Jannis Kurtz:
Data-Driven Robust Optimization using Unsupervised Deep Learning. - Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update. - Yi-Jheng Lin, Che-Hao Yu, Tzu-Hsuan Liu, Cheng-Shang Chang, Wen-Tsuen Chen:
Positively Correlated Samples Save Pooled Testing Costs. - Giulia Silveri, Marco Merlo, Luca Restivo, Gianfranco Sinagra, Agostino Accardo:
Novel Classification of Ischemic Heart Disease Using Artificial Neural Network. - Manuel Sam Ribeiro, Jennifer Sanger, Jing-Xuan Zhang, Aciel Eshky, Alan Wrench, Korin Richmond, Steve Renals:
TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos. - Simon Apers, Troy Lee:
Quantum query complexity of edge connectivity. - Sowmya Chandrasekaran, Margarita Rebolledo, Thomas Bartz-Beielstein:
EventDetectR - An Open-Source Event Detection System. - Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini, Maria Carla Parrini, Elena Loli Piccolomini, Eugenio Martinelli:
Recursive Deep Prior Video: a Super Resolution algorithm for Time-Lapse Microscopy of organ-on-chip experiments. - Alireza Ejlali:
Daemon computers versus clairvoyant computers: A pure theoretical viewpoint towards energy consumption of computing. - Adam Lipowski, Antonio Luis Ferreira, Dorota Lipowska:
Cluster structure of optimal solutions in bipartitioning of small worlds. - Kunbo Zhang, Zhenteng Shen, Yunlong Wang, Zhenan Sun:
All-in-Focus Iris Camera With a Great Capture Volume. - Amir Dahari, Nati Linial:
Hyperpaths. - Jianrui Xie:
Further Results on Pure Summing Registers and Complementary Ones. - Xianping Li, Teresa Wu:
A Preliminary Comparison Between Compressive Sampling and Anisotropic Mesh-based Image Representation. - Yuuya Yoshida:
Classical-Quantum Differentially Private Mechanisms Beyond Classical Ones. - Quentin Bertrand, Mathurin Massias:
Anderson acceleration of coordinate descent. - Nicolas Ewen, Naimul Khan:
Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset. - Sokratis Makrogiannis, Chelsea E. Harris, Keni Zheng:
Discriminative Localized Sparse Representations for Breast Cancer Screening. - Ryan Burn:
Optimizing Approximate Leave-one-out Cross-validation to Tune Hyperparameters. - Jim de Groot:
Goldblatt-Thomason Theorems for Modal Intuitionistic Logics. - Peng Jia, Mingyang Ma, Dongmei Cai, Weihua Wang, Juanjuan Li, Can Li:
Compressive Shack-Hartmann Wavefront Sensing based on Deep Neural Networks. - Peng Jia, Xuebo Wu, Zhengyang Li, Bo Li, Weihua Wang, Qiang Liu, Adam Popowicz:
Modelling the Point Spread Function of Wide Field Small Aperture Telescopes With Deep Neural Networks - Applications in Point Spread Function Estimation. - Jie Chen, Tingting Zhang, Tieyong Zeng, Qiyu Jin:
Edge Adaptive Hybrid Regularization Model For Image Deblurring. - Tillmann Mühlpfordt, Xinliang Dai, Alexander Engelmann, Veit Hagenmeyer:
Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation. - El-Ghazali Talbi, Raca Todosijevic:
Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty. - Peng Jia, Qiang Liu, Yongyang Sun, Yitian Zheng, Wenbo Liu, Yifei Zhao:
Smart obervation method with wide field small aperture telescopes for real time transient detection. - Ali Unlu, Laurence Aitchison:
Gradient Regularisation as Approximate Variational Inference. - Grigorios G. Anagnostopoulos, Alexandros Kalousis:
Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy. - Zhongyang Li, Fei Lu:
On the coercivity condition in the learning of interacting particle systems. - Jiahui Yu, Konstantinos Spiliopoulos:
Normalization effects on shallow neural networks and related asymptotic expansions. - M. Quamer Nasim, Tannistha Maiti, Ayush Shrivastava, Tarry Singh, Jie Mei:
Seismic Facies Analysis: A Deep Domain Adaptation Approach. - Iman Habibi, Effat S. Emamian, Osvaldo Simeone, Ali Abdi:
Computation capacities of a broad class of signaling networks are higher than their communication capacities. - Alexey Uvarov, Jacob D. Biamonte:
On barren plateaus and cost function locality in variational quantum algorithms. - Andreas Schwarz, Ilya Sklyar, Simon Wiesler:
Improving RNN-T ASR Accuracy Using Untranscribed Context Audio. - Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris:
Meta-Learning for Time Series Forecasting Ensemble. - Ruby Sedgwick, John P. Goertz, Molly M. Stevens, Ruth Misener, Mark van der Wilk:
Design of Experiments for Verifying Biomolecular Networks. - Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam:
Deep learning insights into cosmological structure formation. - Christopher L. Dean, Stephen J. Lee, Jason Pacheco, John W. Fisher III:
Lightweight Data Fusion with Conjugate Mappings. - Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi:
SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions. - Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni:
Meta Variational Monte Carlo. - Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger:
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation. - Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. - Alexander N. Pchelintsev:
An Accurate Numerical Method and Algorithm for Constructing Solutions of Chaotic Systems. - Anton Xue, Nikolai Matni:
Data-Driven System Level Synthesis. - Bolin Gao, Lacra Pavel:
Continuous-Time Convergence Rates in Potential and Monotone Games. - Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott:
Deep Network Perceptual Losses for Speech Denoising. - Xiucai Ding, Hau-Tieng Wu:
Phase transition of graph Laplacian of high dimensional noisy random point cloud. - Baudouin Denis de Senneville, Mario Ries, Wilbert Bartels, Chrit T. W. Moonen:
MRI-Guided High Intensity Focused Ultrasound of Liver and Kidney. - Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster End-to-End Model for Streaming ASR. - Gi-Ren Liu, Yuan-Chung Sheu, Hau-Tieng Wu:
Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization. - Anatoly Khina, Arie Yeredor, Ram Zamir:
Monotonicity of the Trace-Inverse of Covariance Submatrices and Two-Sided Prediction. - Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue:
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly. - Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin, Thomas Scanlon:
Multi-experiment parameter identifiability of ODEs and model theory. - Evan S. Gawlik, Yuji Nakatsukasa:
Zolotarev's fifth and sixth problems. - Jean-Claude Crivello, Nataliya Sokolovska, Jean-Marc Joubert:
Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the σ-phase as an example. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Locally Linear Embedding and its Variants: Tutorial and Survey. - Shyam Sundar Ghoshal, John D. Towers, Ganesh Vaidya:
Convergence of a Godunov scheme for degenerate conservation laws with BV spatial flux and a study of Panov type fluxes. - Tyler E. Maltba, Hongli Zhao, Daniel M. Tartakovsky:
Autonomous learning of nonlocal stochastic neuron dynamics. - Aymen Khaleel, Ertugrul Basar:
A Novel NOMA Solution with RIS Partitioning. - Aditya Gulati, Sayak Chakrabarti, Rajat Mittal:
On algorithms to find p-ordering. - Maja Trebacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andrés-Terré, Pietro Liò:
Using ontology embeddings for structural inductive bias in gene expression data analysis. - Qinwen Huang, Ye Zhou, Xiaochen Du, Reed Chen, Jianyou Wang, Cynthia Rudin, Alberto Bartesaghi:
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning. - Stefan Groha, Caroline Weis, Alexander Gusev, Bastian Rieck:
Topological Data Analysis of copy number alterations in cancer. - Richie Yeung:
Diagrammatic Design and Study of Ansätze for Quantum Machine Learning. - Yuhao Yi, Liren Shan, Philip E. Paré, Karl Henrik Johansson:
Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models. - Hamza Saad, Nagendra Nagarur:
Data Mining Techniques in Predicting Breast Cancer. - Carlos Esteve, Borjan Geshkovski, Dario Pighin, Enrique Zuazua:
Turnpike in Lipschitz-nonlinear optimal control. - Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting:
A non-autonomous equation discovery method for time signal classification. - Daniele Bartoli, Antonio Cossidente, Giuseppe Marino, Francesco Pavese:
On cutting blocking sets and their codes. - Nicola Parolini, Giovanni Ardenghi, Luca Dedè, Alfio Quarteroni:
A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data. - El Mehdi Saad, Gilles Blanchard, Sylvain Arlot:
Online Orthogonal Matching Pursuit. - Matteo Ravasi, Ivan Vasconcelos:
On the implementation of large-scale integral operators with modern HPC solutions - Application to 3D Marchenko imaging by least-squares inversion. - Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. - Helena Breuer, Jianhe Du, Hesham A. Rakha:
Ride-hailing Impacts on Transit Ridership: Chicago Case Study. - James Bartusek, Andrea Coladangelo, Dakshita Khurana, Fermi Ma:
On The Round Complexity of Two-Party Quantum Computation. - Kwang-Sung Jun, Lalit Jain, Houssam Nassif:
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits. - Morgane Austern, Vasilis Syrgkanis:
Asymptotics of the Empirical Bootstrap Method Beyond Asymptotic Normality. - Pierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, Martin Weigt, Francesco Zamponi:
Sparse generative modeling of protein-sequence families. - Tuukka Korhonen:
Tight Bounds for Potential Maximal Cliques Parameterized by Vertex Cover. - Kai Hou Yip, Quentin Changeat, Nikolaos Nikolaou, Mario Morvan, Billy Edwards, Ingo P. Waldmann, Giovanna Tinetti:
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals. - Aurélien Decelle, Cyril Furtlehner:
Restricted Boltzmann Machine, recent advances and mean-field theory. - Bipin Kumar, Rajib Chattopadhyay, Manmeet Singh, Niraj Chaudhari, Karthik Kodari, Amit Barve:
Deep-learning based down-scaling of summer monsoon rainfall data over Indian region. - Jian Luo, Jianzong Wang, Ning Cheng, Guilin Jiang, Jing Xiao:
End-to-end Silent Speech Recognition with Acoustic Sensing. - Zhou Xu, Chongyi Fan, Xiaotao Huang:
MIMO Radar Waveform-Filter Design for Extended Target Detection from a View of Games. - Shanpu Shen, Bruno Clerckx, Ross D. Murch:
Modeling and Architecture Design of Intelligent Reflecting Surfaces using Scattering Parameter Network Analysis. - Martin Burger, Heinz W. Engl, Antonio Leitão, Peter A. Markowich:
On inverse problems for semiconductor equations. - Ying Zhu, Mozhgan Mirzaei:
Ordinary differential equations (ODE): metric entropy and nonasymptotic theory for noisy function fitting. - Ta-Chu Kao, Guillaume Hennequin:
Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations. - Chao Ning, Fengqi You:
Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems. - Alice Ruget, Stephen McLaughlin, Robert K. Henderson, István Gyöngy, Abderrahim Halimi, Jonathan Leach:
Robust super-resolution depth imaging via a multi-feature fusion deep network. - Lauren Michelle Pfeifer, Matias Valdenegro-Toro:
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning. - Ningyuan Huang, David W. Hogg, Soledad Villar:
Dimensionality reduction, regularization, and generalization in overparameterized regressions. - José A. Perusquía, Jim E. Griffin, Cristiano Villa:
On a Bayesian Approach to Malware Detection and Classification through n-gram Profiles. - Xianrui Zheng, Yulan Liu, Deniz Gunceler, Daniel Willett:
Using Synthetic Audio to Improve The Recognition of Out-Of-Vocabulary Words in End-To-End ASR Systems. - Eric C. Kerrigan, Yuanbo Nie, Omar J. Faqir, Caroline H. Kennedy, Steven A. Niederer, José Alonso Solís-Lemus, Peter Vincent, Steven E. Williams:
Direct Transcription for Dynamic Optimization: A Tutorial with a Case Study on Dual-Patient Ventilation During the COVID-19 Pandemic. - Dax Enshan Koh, Sabee Grewal:
Classical Shadows with Noise. - Ilya Sklyar, Anna Piunova, Yulan Liu:
Streaming Multi-speaker ASR with RNN-T. - Elena Kreutzer, Walter M. Senn, Mihai A. Petrovici:
Natural-gradient learning for spiking neurons. - Laura Natali, Saga Helgadottir, Onofrio M. Maragò, Giovanni Volpe:
Improving epidemic testing and containment strategies using machine learning. - Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke:
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Y. Maa, Jorge Cuadros, Greg Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu:
Detecting hidden signs of diabetes in external eye photographs. - Rassa Ghavami, Mehrab Hamidi, Saeed Masoudian, Amir Mohseni, Hamzeh Lotfalinezhad, Mohammad Ali Kazemi, Behnaz Moradi, Mahyar Ghafoori, Omid Motamedi, Omid Pournik, Kiara Rezaei-Kalantari, Amirreza Manteghinezhad, Shaghayegh Haghjooy, Fateme Abdoli Nezhad, Ahmad Enhesari, Mohammad Saeed Kheyrkhah, Razieh Eghtesadi, Javid Azadbakht, Akbar Aliasgharzadeh, Mohammad Reza Sharif, Ali Khaleghi, Abbas Foroutan, Hossein Ghanaati, Hamed Dashti, Hamid R. Rabiee:
Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect Removal of Chest CT-Scans and Interpretable Artificial Intelligence. - Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. - Sourangsu Banerji, Apratim Majumder, Alexander Hamrick, Rajesh Menon, Berardi Sensale Rodriguez:
Machine Learning enables Ultra-Compact Integrated Photonics through Silicon-Nanopattern Digital Metamaterials. - Luc Lafitte, Rémi Giraud, Cornel Zachiu, Mario Ries, Olivier Sutter, Antoine Petit, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville:
Patch-based field-of-view matching in multi-modal images for electroporation-based ablations. - Mostafa Jahanifar, Neda Zamani Tajeddin, Meisam Hasani, Babak Shekarchi, Kamran Azema:
Automatic Recognition of the Supraspinatus Tendinopathy from Ultrasound Images using Convolutional Neural Networks. - Qian Xie, Li Jin:
Stabilizing Queuing Networks with Model Data-Independent Control. - Nikolas Dawson, Marian-Andrei Rizoiu, Mary-Anne Williams:
Job Transitions in a Time of Automation and Labor Market Crises. - Yiling Huang, Yutian Chen, Jason Pelecanos, Quan Wang:
Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech. - Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle:
An end-to-end data-driven optimisation framework for constrained trajectories. - Miao Yang, Hongbin Zhu, Hua Qian, Yevgeni Koucheryavy, Konstantin E. Samouylov, Haifeng Wang:
Peer Offloading with Delayed Feedback in Fog Networks. - Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, Hung D. Nguyen:
Health-Focused Optimal Power Flow. - Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence. - Gurcan Comert:
Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels. - Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao:
Blind deblurring for microscopic pathology images using deep learning networks. - Trang H. Tran, Lam M. Nguyen, Quoc Tran-Dinh:
Shuffling Gradient-Based Methods with Momentum. - Xiaomin Liu, Huazhi Lun, Ruoxuan Gao, Meng Cai, Lilin Yi, Weisheng Hu, Qunbi Zhuge:
A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks. - Chong Chen:
Spatiotemporal Imaging with Diffeomorphic Optimal Transportation. - Sagnik Chatterjee, Debajyoti Bera:
Applying the Quantum Alternating Operator Ansatz to the Graph Matching Problem. - Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation. - Fredrik Westling, Mitch Bryson, James Patrick Underwood:
SimTreeLS: Simulating aerial and terrestrial laser scans of trees. - Alex Ling Yu Hung, Wanwen Chen, John M. Galeotti:
Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact Models. - Alex Ling Yu Hung, Edward Chen, John M. Galeotti:
Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles. - Alex Ling Yu Hung, John M. Galeotti:
Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts. - Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon:
Provably robust blind source separation of linear-quadratic near-separable mixtures. - Christophe Besse, Grégory Faye:
Dynamics of epidemic spreading on connected graphs. - Tzu-hsien Huang, Jheng-Hao Lin, Chien-yu Huang, Hung-yi Lee:
How Far Are We from Robust Voice Conversion: A Survey. - Saeed Aljaberi, Timothy O'Leary, Fulvio Forni:
Dendritic trafficking: synaptic scaling and structural plasticity. - Chuanjie Cui, Rujin Ma, Emilio Martínez-Pañeda:
A phase field formulation for dissolution-driven stress corrosion cracking. - Agustina D'Jorge, Alejandro Anderson, Antonio Ferramosca, Alejandro H. González, Marcelo Actis:
On stability of nonzero set-point for non linear impulsive control systems. - Christian Himpe, Sara Grundel, Peter Benner:
Model Order Reduction for Gas and Energy Networks. - Neeraj Wagh, Yogatheesan Varatharajah:
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. - Steven Kisseleff, Symeon Chatzinotas, Björn E. Ottersten:
Reconfigurable Intelligent Surfaces in Challenging Environments. - Vincent Talbo, Mehdi Haddab, Derek Aubert, Redha Moulla:
Wavelet-based clustering for time-series trend detection. - Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Self-supervised transfer learning of physiological representations from free-living wearable data. - Enrique Mariano Lizarraga, Walter Herrera:
A Reusable Framework Based on Reinforcement Learning to Design Antennas for Curved Surfaces. - Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky:
Self-Supervised Transformers for Activity Classification using Ambient Sensors. - MohammadReza Mohebbian, Seyed Shahim Vedaei, Khan A. Wahid, Anh Dinh, Hamid Reza Marateb:
Fetal ECG Extraction from Maternal ECG using attention-based Asymmetric CycleGAN. - Roman V. Baluev:
Fast error-safe MOID computation involving hyperbolic orbits. - Heejune Sheen, Xiaonan Zhu, Yao Xie:
Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes. - Jonathan Gorard:
Algorithmic Causal Sets and the Wolfram Model. - Anwesh Bhattacharya, Snehanshu Saha, Mousumi Das:
Detection of Double-Nuclei Galaxies in SDSS. - Gábor Damásdi, Dömötör Pálvölgyi:
Realizing an m-uniform four-chromatic hypergraph with disks. - A. Leitao, Peter A. Markowich, Jorge P. Zubelli:
On inverse doping profile problems for the stationary voltage-current map. - Son T. Le, Stefan Wesemann, Roman Dischler, Sivarama Venkatesan:
A Joint Wireless-Optical Front-haul Solution for Multi-user Massive MIMO 5G RAN. - Keli Liu, Feng Ruan:
Searching for Interactions: Why the Laplace Kernel is your Friend. - Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Discovering Hidden Physics Behind Transport Dynamics. - Youbang Sun, Shahin Shahrampour:
Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems. - Leonardo Colombo, Dimos V. Dimarogonas:
Symmetry Reduction in Optimal Control of Multiagent Systems on Lie Groups. - Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles:
Effect of barren plateaus on gradient-free optimization. - Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani, Stephen Tu:
Safely Learning Dynamical Systems from Short Trajectories. - Cheik Traoré, Edouard Pauwels:
Sequential convergence of AdaGrad algorithm for smooth convex optimization. - Yushi Mura, Hiroki Wada:
Quantization of Blackjack: Quantum Basic Strategy and Advantage. - Hamza Saad:
The Application of Data Mining in the Production Processes. - Mitchell Black, Ehsan Arabi, Dimitra Panagou:
A Fixed-Time Stable Adaptation Law for Safety-Critical Control under Parametric Uncertainty. - Clayton Thomas:
Classification of Priorities Such That Deferred Acceptance is Obviously Strategyproof. - Christian Bayer, Denis Belomestny, Paul Hager, Paolo Pigato, John Schoenmakers, Vladimir G. Spokoiny:
Reinforced optimal control. - Gersende Fort, Eric Moulines, Hoi-To Wai:
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. - Anthony Kelly:
Distribution Conditional Denoising: A Flexible Discriminative Image Denoiser. - Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt:
The dynamics of learning with feedback alignment. - Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh:
Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning. - Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter L. Bartlett, Michael I. Jordan:
Optimal Mean Estimation without a Variance. - Shane Gilroy, John O'Dwyer, Lucas Bortoleto:
Characterisation of CMOS Image Sensor Performance in Low Light Automotive Applications. - Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner:
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning. - Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick Stevens:
Learning Curves for Drug Response Prediction in Cancer Cell Lines. - Ery Arias-Castro, Phong Alain Chau:
Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting. - Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron:
Single-Image Lens Flare Removal. - Aniruddha Rajendra Rao, Matthew Reimherr:
Modern Multiple Imputation with Functional Data. - Jingzhi Hu, Hongliang Zhang, Kaigui Bian, Marco Di Renzo, Zhu Han, Lingyang Song:
MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning. - Ina Schmidt, Areti Papastavrou, Paul Steinmann:
Concurrent consideration of cortical and cancellous bone within continuum bone remodelling. - Chathurika P. Mediwaththe, Lachlan Blackhall:
Community Energy Storage-based Energy Trading Management for Cost Benefits and Network Support. - Mario Alvarez-Picallo, Jean-Simon Pacaud Lemay:
Cartesian Difference Categories. - Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. - Andrés Bustos, E. Ascasibar, A. Cappa, Rafael Mayo-García:
Automatic Identification of MHD Modes in Magnetic Fluctuations Spectrograms using Deep Learning Techniques. - Björn Browatzki, Jörn-Philipp Lies, Christian Wallraven:
The Unreasonable Effectiveness of Encoder-Decoder Networks for Retinal Vessel Segmentation. - Patrick Gelß, Stefan Klus, Ingmar Schuster, Christof Schütte:
Feature space approximation for kernel-based supervised learning. - Giuliana Ramella:
Evaluation of quality measures for color quantization. - Manuel Giollo, Deniz Gunceler, Yulan Liu, Daniel Willett:
Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio. - Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf:
Quantized Neural Networks for Radar Interference Mitigation. - Gregor N. C. Simm, Robert Pinsler, Gábor Csányi, José Miguel Hernández-Lobato:
Symmetry-Aware Actor-Critic for 3D Molecular Design. - Rafal Kucharski, Oded Cats, Julian Sienkiewicz:
Virus spreading in ride-pooling networks. Can ride-pooling become a safe and sustainable mobility alternative for pandemic urban systems? - Joran van Apeldoorn, Sander Gribling, Yinan Li, Harold Nieuwboer, Michael Walter, Ronald de Wolf:
Quantum algorithms for matrix scaling and matrix balancing. - Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone:
All You Need is a Good Functional Prior for Bayesian Deep Learning. - Emad Arasteh Emamzadeh-Hashemi, Ailar Mahdizadeh:
External Electromagnetic Wave Excitation of a PreSynaptic Neuron Based on LIF model. - Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. - Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell:
Physics-informed neural networks for myocardial perfusion MRI quantification. - Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid:
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale. - Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections. - Dena Firoozi, Sebastian Jaimungal:
Exploratory LQG Mean Field Games with Entropy Regularization. - Jordan Chellig, Calina Durbac, Nikolaos Fountoulakis:
Best response dynamics on random graphs. - Sahani Pathiraja:
L2 convergence of smooth approximations of Stochastic Differential Equations with unbounded coefficients. - Jordan Trinka, Hossein Haghbin, Mehdi Maadooliat:
Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches. - Jungtaek Kim, Minsu Cho, Seungjin Choi:
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. - David Romain Djoumbissie:
Predicting S&P500 Index direction with Transfer Learning and a Causal Graph as main Input. - Lianzhang Bao:
Pattern formation in a cell migration model with aggregation and diffusion. - Bhavana Burramukku:
Estimator Model for Prediction of Power Output of Wave Farms Using Machine Learning Methods. - Giuliana Ramella:
Saliency-based segmentation of dermoscopic images using color information. - Zheming Wang, Raphaël M. Jungers:
Immersion-based model predictive control of constrained nonlinear systems: Polyflow approximation. - Ashwin Samudre, Lijo George, Mahak Bansal, Yogesh G. Wadadekar:
Data-Efficient Classification of Radio Galaxies. - Mingyang Xie, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov:
Joint Reconstruction and Calibration using Regularization by Denoising. - Shuubham Ojha, Ketan Rajawat:
Distributed Optimisation With Communication Delays. - Garvita Agarwal, Lauren M. Hay, Ia Iashvili, Benjamin Mannix, Christine McLean, Margaret Morris, Salvatore Rappoccio, Ulrich Schubert:
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation. - James Bartusek, Andrea Coladangelo, Dakshita Khurana, Fermi Ma:
One-Way Functions Imply Secure Computation in a Quantum World. - Jordi Vila-Pérez, Matteo Giacomini, Rubén Sevilla, Antonio Huerta:
A non-oscillatory face-centred finite volume method for compressible flows. - Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror:
Protein model quality assessment using rotation-equivariant, hierarchical neural networks. - Kengo Matsumoto:
Coded equivalence of one-sided topological Markov shifts. - Junhao Hua, Chunguang Li:
Distributed Variational Bayesian Algorithms Over Sensor Networks. - Lirong Deng, Xuan Zhang, Tianshu Yang, Hongbin Sun:
Optimal Planning of Integrated Heat and Electricity Systems: a Tightening McCormick Approach. - Payam Shahsavari Baboukani, Carina Graversen, Emina Alickovic, Jan Østergaard:
Estimating Conditional Transfer Entropy in Time Series using Mutual Information and Non-linear Prediction. - Timm Faulwasser, Lars Grüne:
Turnpike Properties in Optimal Control: An Overview of Discrete-Time and Continuous-Time Results. - Enrico Guiraud, Jakob Drefs, Jörg Lücke:
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents. - Mugeon Song, Maverick S. H. Oh, Yongjun Ahn, Keun-Young Kim:
Deep Learning for Classical Mechanics. - Chris van der Ploeg, Mohsen Alirezaei, Nathan van de Wouw, Peyman Mohajerin Esfahani:
Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds. - Elena Grigorescu, Madhu Sudan, Minshen Zhu:
Limitations of Mean-Based Algorithms for Trace Reconstruction at Small Distance. - Ehsan Abedi, Simone Carlo Surace, Jean-Pascal Pfister:
A Unification of Weighted and Unweighted Particle Filters. - Pierre Ablin:
Deep orthogonal linear networks are shallow. - Andrea de Jesus Torres, Luca Sanguinetti, Emil Björnson:
Near- and Far-Field Communications with Large Intelligent Surfaces. - Taylor Brysiewicz, Khazhgali Kozhasov, Mario Kummer:
Nodes on quintic spectrahedra. - Clemens Hutter, Moritz von Stosch, Mariano Nicolás Cruz Bournazou, Alessandro Butté:
Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors. - Kevin Raina:
Modelling brain lesion volume in patches with CNN-based Poisson Regression. - Benjamin Kurt Miller, Alex Cole, Gilles Louppe, Christoph Weniger:
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time. - Chenxing Li, Yang Yu, Andrew Chi-Chih Yao, Da Zhang, Xiliang Zhang:
An authenticated and secure accounting system for international emissions trading. - Uzair Khan, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
Trends in deep learning for medical hyperspectral image analysis. - Vivek Dixit, Raja Selvarajan, Muhammad Ashraful Alam, Travis S. Humble, Sabre Kais:
Training a quantum annealing based restricted Boltzmann machine on cybersecurity data. - Enamundram M. V. Naga Karthik, Catherine Laporte, Farida Cheriet:
Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis. - Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
Differences between human and machine perception in medical diagnosis. - Hans Riess, Jakob Hansen:
Multidimensional Persistence Module Classification via Lattice-Theoretic Convolutions. - Vatsal Shah, Soumya Basu, Anastasios Kyrillidis, Sujay Sanghavi:
On Generalization of Adaptive Methods for Over-parameterized Linear Regression. - Aaron Babier, Binghao Zhang, Rafid Mahmood, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP: The open-access knowledge-based planning grand challenge. - Elnaz Gholipour, Béla Vizvári, Zoltán Lakner:
Reconstruction Rating Model of Sovereign Debt by Logical Analysis of Data. - Yong-Liang Xiao:
Optical Phase Dropout in Diffractive Deep Neural Network. - Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda:
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. - Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck:
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. - Abhishek Malik, Ben Moster, Christian Obermeier:
Exoplanet Detection using Machine Learning. - Fatih Altay, Guillermo Ramon Sanchez, Yanli James, Stephen V. Faraone, Senem Velipasalar, Asif Salekin:
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans. - Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-slice Context Residual Learning for 3D Medical Image Segmentation. - Seyed Mohsen Hosseini:
Lattice Fusion Networks for Image Denoising. - Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Sumei Sun, Liang Xiao:
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management. - Benjamin Gravell, Iman Shames, Tyler H. Summers:
Approximate Midpoint Policy Iteration for Linear Quadratic Control. - Harsh S. Dhiman, Dipankar Deb:
Machine Intelligent Techniques for Ramp Event Prediction in Offshore and Onshore Wind Farms. - Dani Kiyasseh, Tingting Zhu, David A. Clifton:
PCPs: Patient Cardiac Prototypes. - Jian Wang, Miaomiao Zhang:
Deep Learning for Regularization Prediction in Diffeomorphic Image Registration. - Dani Kiyasseh, Tingting Zhu, David A. Clifton:
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. - Gregory W. Wimsatt, Alexander B. Boyd, Paul M. Riechers, James P. Crutchfield:
Refining Landauer's Stack: Balancing Error and Dissipation When Erasing Information. - Amy X. Zhang, Le Bao, Michael J. Daniels:
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models. - Julián D. Arias-Londoño, Jorge Andrés Gómez García, Laureano Moro-Velázquez, Juan Ignacio Godino-Llorente:
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach. - Hu Wang, Peng Chen, Bohan Zhuang, Chunhua Shen:
Fully Quantized Image Super-Resolution Networks. - Susan M. Mniszewski, Pavel A. Dub, Sergei Tretiak, Petr M. Anisimov, Yu Zhang, Christian F. A. Negre:
Downfolding the Molecular Hamiltonian Matrix using Quantum Community Detection. - Hongkang Yang, Weinan E:
Generalization and Memorization: The Bias Potential Model. - Héctor J. Hortúa, Riccardo Volpi, Dimitri Marinelli, Luigi Malagò:
Accelerating MCMC algorithms through Bayesian Deep Networks. - Haotian Xie, Yong Zhang, Jun Wang, Jingjing Zhang, Yifan Ma, Zhaogang Yang:
Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network. - Ruskin Raj Manku, Ayush Sharma, Anand Panchbhai:
Malaria Detection and Classificaiton. - Mahmut Yurt, Salman Ul Hassan Dar, Berk Tinaz, Muzaffer Özbey, Tolga Çukur:
Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths. - Shreya Roy, Anirban Chakraborty:
Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images. - Marija Vella, João F. C. Mota:
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging. - Vladimir A. Dorodnitsyn, Roman Kozlov, Sergey V. Meleshko:
One-dimensional flows of a polytropic gas: Lie group classification, conservation laws, invariant and conservative difference schemes. - Tim Johnson, Oleg Smirnov:
Temporal assortment of cooperators in the spatial prisoner's dilemma. - Navid Rezazadeh, Solmaz S. Kia:
Multi-Agent Maximization of a Monotone Submodular Function via Maximum Consensus. - Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John W. Paisley:
Adaptive noise imitation for image denoising. - Amin Jalali:
Persistent Reductions in Regularized Loss Minimization for Variable Selection. - Qianqian Zhang, Ruizhi Sun:
SAR Image Despeckling Based on Convolutional Denoising Autoencoder. - Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao:
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. - Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, Xinyu Zhou:
Feature Space Singularity for Out-of-Distribution Detection. - Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes:
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation. - Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Learning-based lossless compression of 3D point cloud geometry. - James Y. S. Tan, Zengguang Cheng, Xuan Li, Nathan Youngblood, Utku E. Ali, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran:
Monadic Pavlovian associative learning in a backpropagation-free photonic network. - Vishrut Jetly, Bhaskar Chaudhury:
Extracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks. - Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia:
DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning. - Radoslaw A. Kycia, P. Lebiedowicz, A. Szczurek:
Decay: A Monte Carlo library for the decay of a particle with ROOT compatibility. - Jesús M. Rodríguez-de-Vera, Josefa González-Carrillo, José M. García, Gregorio Bernabé:
Deep learning approach to left ventricular non-compaction measurement. - Di Zhao, Axel Ringh, Li Qiu, Sei Zhen Khong:
Low Phase-Rank Approximation. - Wail Mustafa, Christian Kehl, Ulrik Lund Olsen, Søren Kimmer Schou Gregersen, David Malmgren-Hansen, Jan Kehres, Anders Bjorholm Dahl:
Sparse-View Spectral CT Reconstruction Using Deep Learning. - Sahithya Ravi, Samaneh Khoshrou, Mykola Pechenizkiy:
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic. - Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. - Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. - Yun Ai, Long Kong, Michael Cheffena, Symeon Chatzinotas, Björn E. Ottersten:
Secure Vehicular Communications through Reconfigurable Intelligent Surfaces. - Seyed Mohsen Hosseini:
Image Denoising for Strong Gaussian Noises With Specialized CNNs for Different Frequency Components. - Paul Waddell, Arezoo Besharati-Zadeh:
A Comparison of Statistical and Machine Learning Algorithms for Predicting Rents in the San Francisco Bay Area. - Ion Victor Gosea, Charles Poussot-Vassal, Athanasios C. Antoulas:
On Loewner data-driven control for infinite-dimensional systems. - Zichang Liu, Li Chou, Anshumali Shrivastava:
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. - Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau:
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. - Sharu Theresa Jose, Osvaldo Simeone:
Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning, and Optimization. - Priyabrata Saha, Saibal Mukhopadhyay:
A Deep Learning-based Collocation Method for Modeling Unknown PDEs from Sparse Observation. - Asilata Bapat, Robyn Brooks, Celia Hacker, Claudia Landi, Barbara I. Mahler:
Morse-based Fibering of the Persistence Rank Invariant. - Julia Lindberg, Nigel Boston, Bernard C. Lesieutre:
Exploiting Symmetry in the Power Flow Equations Using Monodromy. - Alex B. Grilo, Huijia Lin, Fang Song, Vinod Vaikuntanathan:
Oblivious Transfer is in MiniQCrypt. - Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq, Manoranjan Paul, Subrata Chakraborty, Manash Saha, Tanmoy Debnath, D. M. Motiur Rahaman:
MAVIDH Score: A Corona Severity Scoring using Interpretable Chest X-Ray Pathology Features. - Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew P. Juniper, Michael Oschwald:
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning. - Morgane Menz, Sylvain Dubreuil, Jérôme Morio, Christian Gogu, Nathalie Bartoli, Marie Chiron:
Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes. - Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong:
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric. - Anatolii V. Mokshin, Vladimir V. Mokshin, Diana A. Mirziyarova:
Formation of Regression Model for Analysis of Complex Systems Using Methodology of Genetic Algorithms. - Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda:
Unsupervised Deep Video Denoising. - Vinicius Pavanelli Vianna, Luiz Otávio Murta Jr.:
Long-range medical image registration through generalized mutual information (GMI): toward a fully automatic volumetric alignment. - Seoin Chai, Daniel Rueckert, Ahmed E. Fetit:
Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs. - Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind:
AGNet: Weighing Black Holes with Machine Learning. - Célia Borlido, Brett McLean:
Difference-restriction algebras of partial functions: axiomatisations and representations. - Rebekah Herrman, Peter van Hintum, Stephen G. Z. Smith:
Capture times in the Bridge-burning Cops and Robbers game. - Zhe Zhang, Guanghui Lan:
Optimal Algorithms for Convex Nested Stochastic Composite Optimization. - Rotem Liss, Tal Mor:
Quantum Communication - Celebrating the Silver Jubilee of Teleportation. - Junan Lin, Tal Mor:
Quantum Candies and Quantum Cryptography. - Jorge L. Rosa-Raíces, Jiace Sun, Nawaf Bou-Rabee, Thomas F. Miller III:
A generalized class of strongly stable and dimension-free T-RPMD integrators. - Xuefeng Gao, Zuo Quan Xu, Xun Yu Zhou:
State-Dependent Temperature Control for Langevin Diffusions. - Goeric Huybrechts, Thomas Merritt, Giulia Comini, Bartek Perz, Raahil Shah, Jaime Lorenzo-Trueba:
Low-resource expressive text-to-speech using data augmentation. - Man-Ling Sung, Tan Lee:
Unsupervised Spoken Term Discovery Based on Re-clustering of Hypothesized Speech Segments with Siamese and Triplet Networks. - Valentino Vito, Denny Riama Silaban:
Two types of size Ramsey numbers for matchings of small order. - Martin Koutecký, Shmuel Onn:
Uniform and Monotone Line Sum Optimization. - Azton I. Wells, Michael L. Norman:
Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks. - Disong Wang, Songxiang Liu, Lifa Sun, Xixin Wu, Xunying Liu, Helen Meng:
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion. - Steven Duplij, Raimund Vogl:
Membership amplitudes and obscure qudits. - Aaron Barbosa, Elijah Pelofske, Georg Hahn, Hristo N. Djidjev:
Optimizing embedding-related quantum annealing parameters for reducing hardware bias. - Constantin Christof:
On the Stability Properties and the Optimization Landscape of Training Problems with Squared Loss for Neural Networks and General Nonlinear Conic Approximation Schemes. - Elham Kashefi, Dominik Leichtle, Luka Music, Harold Ollivier:
Securing Quantum Computations in the NISQ Era. - Toshio Croucher, Joan A. Vaccaro:
Thermodynamics of memory erasure via a spin reservoir. - Costin Badescu, Ryan O'Donnell:
Improved quantum data analysis. - Dilshad Surroop, Pascal Combes, Philippe Martin:
Error analysis of a demodulation procedure for multicarrier signals with slowly-varying carriers.
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