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ORCIDCoRR, December 2020
- Ondrej Prazák, Pavel Pribán, Stephen Taylor, Jakub Sido:
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection. - Abdellatif Ben Makhlouf:
A Novel Finite Time Stability Analysis of Nonlinear Fractional-Order Time Delay Systems: A Fixed Point Approach. - Liye Fu, Susan R. Fussell, Cristian Danescu-Niculescu-Mizil:
Facilitating the Communication of Politeness through Fine-Grained Paraphrasing. - Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. - Wen Xiao, Giuseppe Carenini:
Systematically Exploring Redundancy Reduction in Summarizing Long Documents. - Haoxiang Ma, Jie Fu:
Attention-Based Planning with Active Perception. - Shreya Malani, Dinesh Gaurav, Anoop Vallabhajosyula, Rahul Agrawal:
Diversifying Relevant Phrases. - Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Towards Self-Supervised Amodal Object Detection. - Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty
, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore:
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. - Gergely Buza, George Haller, Shobhit Jain:
Integral Equations & Model Reduction For Fast Computation of Nonlinear Periodic Response. - Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang:
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief. - Yihao Zhang, Zhaojie Chai, George Lykotrafitis:
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles. - João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. - Anusha Lalitha, Tara Javidi:
On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests. - Zachary Taschdjian:
Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot Interaction. - Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak, Michal Pilipczuk, Marcin Wrochna:
Integer Programming and Incidence Treedepth. - Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho:
Using dynamical quantization to perform split attempts in online tree regressors. - Federica Cecchetto, Vera Traub, Rico Zenklusen:
Bridging the Gap Between Tree and Connectivity Augmentation: Unified and Stronger Approaches. - Qihao Liu, Weichao Qiu, Weiyao Wang, Gregory D. Hager, Alan L. Yuille:
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation. - Jorge Kysnney Santos Kamassury, Danilo Silva:
Iterative Error Decimation for Syndrome-Based Neural Network Decoders. - Eylem Erdogan, Ibrahim Altunbas, Nihat Kabaoglu, Halim Yanikomeroglu:
A Cognitive Radio Enabled RF/FSO Communication Model for Aerial Relay Networks: Possible Configurations and Opportunities. - Jürgen Dieber, Sabrina Kirrane:
Why model why? Assessing the strengths and limitations of LIME. - P. G. J. Persoon, R. N. A. Bekkers, Floor Alkemade:
How cumulative is technological knowledge? - Amish Mittal, Sourav Sahoo, Arnhav Datar, Juned Kadiwala, Hrithwik Shalu, Jimson Mathew:
Multi-Modal Detection of Alzheimer's Disease from Speech and Text. - Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. - Nang Laik Ma, Gim Hong Chua:
Using Data Analytics to predict students score. - Ivoline C. Ngong, Krystal Maughan, Joseph P. Near:
Towards Auditability for Fairness in Deep Learning. - Matthias Schäfer, Martin Strohmeier, Mauro Leonardi, Vincent Lenders:
LocaRDS: A Localization Reference Data Set. - G. Michele Pinna:
A new operational representation of dependencies in Event Structures. - Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs:
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. - Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. - Kanthashree Mysore Sathyendra, Samridhi Choudhary, Leah Nicolich-Henkin:
Extreme Model Compression for On-device Natural Language Understanding. - Sungbin Choi:
Utilizing UNet for the future traffic map prediction task Traffic4cast challenge 2020. - William Kuszmaul, Alek Westover:
The Variable-Processor Cup Game. - Guosheng Fu, Wenzheng Kuang:
A monolithic divergence-conforming HDG scheme for a linear fluid-structure interaction model. - Zhidong Lu, Florian Holzapfel:
Stability and Performance Analysis for SISO Incremental Flight Control. - Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting:
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. - Vijay Ravi, Yile Gu, Ankur Gandhe, Ariya Rastrow, Linda Liu, Denis Filimonov, Scott Novotney, Ivan Bulyko:
Improving accuracy of rare words for RNN-Transducer through unigram shallow fusion. - Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer:
Optimizing Fitness-For-Use of Differentially Private Linear Queries. - Harry Halpin:
A Critique of Immunity Passports and W3C Decentralized Identifiers. - Jiaqi Li, Ross Drummond, Stephen R. Duncan:
Robust error bounds for quantised and pruned neural networks. - Umair Mohammad, Sameh Sorour, Mohamed Hefeida:
Task Allocation for Asynchronous Mobile Edge Learning with Delay and Energy Constraints. - Gergo Merkely, Alireza Borjali, Molly Zgoda, Evan M. Farina, Simon Görtz, Orhun K. Muratoglu, Christian Lattermann, Kartik M. Varadarajan:
Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning. - Hanchen Xie, Mohamed E. Hussein, Aram Galstyan, Wael Abd-Almageed:
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization. - Pedro Domingos:
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine. - Abu Jahid, Mohammed H. Alsharif, Trevor J. Hall:
A Contemporary Survey on Free Space Optical Communication: Potential, Technical Challenges, Recent Advances and Research Direction. - Benjamin Y. Cho, Jeageun Jung, Mattan Erez:
Accelerating Bandwidth-Bound Deep Learning Inference with Main-Memory Accelerators. - Pratheep Bondalapati, Abhishek Tiwari, Mustafa Emin Sahin, Qi Tang, Srishti Saraswat, Vishvas Suryakumar, Ali Yazdan, Julius Kusuma, Amit Dubey:
SuperCell: A Wide-Area Coverage Solution Using High-Gain, High-Order Sectorized Antennas on Tall Towers. - Yulia T. Peet, Matthew M. Peet:
A New Treatment of Boundary Conditions in PDE Solutions with Galerkin Methods via Partial Integral Equation Framework. - Bahador Bahmani, WaiChing Sun:
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data. - Satya Narayan Shukla, Benjamin M. Marlin:
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance. - Maxwell Van Gelder, Mitchell Wortsman, Kiana Ehsani:
Deconstructing the Structure of Sparse Neural Networks. - Dineshan Subramoney, Clement N. Nyirenda:
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments. - Benjamin Choi, John Kamalu:
Crowd-Sourced Road Quality Mapping in the Developing World. - Shuiyuan Yu, Chunshan Xu, Haitao Liu:
Statistical patterns of word frequency suggesting the probabilistic nature of human languages. - Sven Buechel, Luise Modersohn, Udo Hahn:
Towards a Unified Framework for Emotion Analysis. - Aliaksei L. Petsiuk, Joshua M. Pearce:
Open Source 3-D Filament Diameter Sensor for Recycling, Winding and Additive Manufacturing Machines. - Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko:
LifeStream: A High-performance Stream Processing Engine for Waveform Data. - Muhammad Usman:
Lightweight Encryption for the Low Powered IoT Devices. - Luca Saglietti, Lenka Zdeborová:
Solvable Model for Inheriting the Regularization through Knowledge Distillation. - Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani:
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models. - Michelle A. Lee, Matthew Tan, Yuke Zhu, Jeannette Bohg:
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors. - Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu:
Field-wise Learning for Multi-field Categorical Data. - Peng Peng, Jiugen Wang:
How to fine-tune deep neural networks in few-shot learning? - Eric Bolton, Alex Calderwood, Niles Christensen, Jerome Kafrouni, Iddo Drori:
High Quality Real-Time Structured Debate Generation. - Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung:
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks. - Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun:
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning. - Petros Papadopoulos, David W. Coit, Ahmed Aziz Ezzat:
Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Dispatch, Accessibility, and Production. - Claudia Flores-Saviaga, Jessica Hammer, Juan Pablo Flores, Joseph Seering, Stuart Reeves, Saiph Savage:
Audience and Streamer Participation at Scale on Twitch. - Shatil Rahman, Steven L. Waslander:
Uncertainty-Constrained Differential Dynamic Programming in Belief Space for Vision Based Robots. - Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi:
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks. - Jihao Fan, Jun Li, Jianxin Wang, Zhihui Wei, Min-Hsiu Hsieh:
Asymmetric Quantum Concatenated and Tensor Product Codes with Large Z-Distances. - Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang:
Point2Skeleton: Learning Skeletal Representations from Point Clouds. - Jalal Arabneydi, Amir G. Aghdam:
A Mean-Field Team Approach to Minimize the Spread of Infection in a Network. - Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao:
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization. - Qianli Zhou, Yong Deng:
Fractal-based belief entropy. - Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava:
Sim2Real for Self-Supervised Monocular Depth and Segmentation. - Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. - Charles P. Martin, Benjamin Forster, Hanna Cormick:
Cross-artform performance using networked interfaces: Last Man to Die's Vital LMTD. - Charles P. Martin, Chi-Hsia Lai:
Strike on Stage: a percussion and media performance. - Cheng Yan, Xin Li, Guoqiang Li:
A New Action Recognition Framework for Video Highlights Summarization in Sporting Events. - Andrew Shepley, Gregory Falzon, Paul Kwan:
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection. - Amine Mezghani, Robert W. Heath Jr.:
Massive MIMO precoding and spectral shaping with low resolution DACs and active constellation extension. - Abhiroop Bhattacharjee, Lakshya Bhatnagar, Youngeun Kim, Priyadarshini Panda:
NEAT: Non-linearity Aware Training for Accurate and Energy-Efficient Implementation of Neural Networks on 1T-1R Memristive Crossbars. - Charles Martin:
Performing with a Mobile Computer System for Vibraphone. - Hongyang Du, Jiayi Zhang, Ke Guan, Bo Ai, Thomas Kürner:
Reconfigurable Intelligent Surface Aided TeraHertz Communications Under Misalignment and Hardware Impairments. - Xiaoqi Wang, Jiayi Zhang, Hongyang Du, Ning Wang, Bo Ai:
Secrecy Performance of Body-Centric Communications over Alternate Rician Shadowed Fading Channels. - Jiayi Zhang, Hongyang Du, Qiang Sun, Derrick Wing Kwan Ng, Bo Ai:
Physical Layer Security Enhancement with Reconfigurable Intelligent Surface-Assisted Networks. - Vinobha A, Senthil Velan S, Chitra Babu:
Evaluation of Reusability in Aspect Oriented Software using Inheritance Metrics. - Parthipan S, Senthil Velan S, Chitra Babu:
Design Level Metrics to Measure the Complexity Across Versions of AO Software. - Varun M. Gudibanda, Franziska Weber, Yukun Yue:
Convergence analysis of a fully discrete energy-stable numerical scheme for the Q-tensor flow of liquid crystals. - Santiago Badia, Manuel Caicedo, Alberto F. Martín, Javier Principe:
A robust and scalable unfitted adaptive finite element framework for nonlinear solid mechanics. - Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun:
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation. - Chris Monico, Ayan Mahalanobis:
A remark on MAKE - a Matrix Action Key Exchange. - Vicky Zeng, Timothy E. Lee, Jacky Liang, Oliver Kroemer:
Visual Identification of Articulated Object Parts. - Huy Truong Dinh, Daehee Kim:
MILP-based Imitation Learning for HVAC control. - Takayuki Osakabe, Miki Tanaka, Yuma Kinoshita, Hitoshi Kiya:
CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection. - Mahfuz Ahmed Masum, Sheikh Junayed Ahmed, Ayesha Tasnim, Md Saiful Islam:
BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation. - Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Mark L. Shope, Han-Wei Liu:
The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making. - Donghuo Zeng, Yi Yu, Keizo Oyama:
MTM Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio? - Wenhao Luo, Hai-Han Sun, Yee Hui Lee, Abdulkadir C. Yucel, Genevieve Ow, Mohamed Lokman Mohd Yusof:
Effects of Intermediate Frequency Bandwidth on Stepped Frequency Ground Penetrating Radar. - Wesley Pegden, Anish Sevekari:
Comb inequalities for typical Euclidean TSP instances. - Charles P. Martin, Henry Gardner, Ben Swift:
Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices. - Shengyang Chen, Han Chen, Weifeng Zhou, Chih-Yung Wen, Boyang Li:
End-to-End UAV Simulation for Visual SLAM and Navigation. - Liyuan Pan, Shah Chowdhury, Richard Hartley, Miaomiao Liu, Hongguang Zhang, Hongdong Li:
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration. - Kakeru Ohki, Ayako Hashizume, Masaki Aida:
Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect. - Tobias Schlagenhauf, Tim Brander, Jürgen Fleischer:
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components. - Zeinab Bahramizadeh, Mojtaba Nazari, Mohammad Khorsand Zak, Zahra Yarahmadi:
Minimal residual Hermitian and skew-Hermitian splitting iteration method for the continuous Sylvester equation. - Gyula Pap, József Varnyú:
Synchronized Traveling Salesman Problem. - Mengqi Guo, Yutong Bai, Zhishuai Zhang, Adam Kortylewski, Alan L. Yuille:
Unsupervised Part Discovery via Feature Alignment. - Sanae Amani, Christos Thrampoulidis:
Decentralized Multi-Agent Linear Bandits with Safety Constraints. - Jiaxin Guo, Lian Fu, Mingkai Jia, Kaijun Wang, Shan Liu:
Fast and Robust Bin-picking System for Densely Piled Industrial Objects. - Youngwan Lee, Hyungil Kim, Kimin Yun, Jinyoung Moon:
Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification. - Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-wise Updating for Online Hashing. - Sota Sato, Masaki Waga, Ichiro Hasuo:
Constrained Optimization for Falsification and Conjunctive Synthesis. - Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang:
Disentangling Label Distribution for Long-tailed Visual Recognition. - Prithvi Kantan, Erika G. Spaich, Sofia Dahl:
A Technical Framework for Musical Biofeedback in Stroke Rehabilitation. - Markus Clemens, Fotios Kasolis, Marvin-Lucas Henkel, B. Kähne, Michael Günther:
A Two-Step Darwin Model Time Domain Formulation for Quasistatic Electromagnetic Field Calculations. - Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie:
Low Bandwidth Video-Chat Compression using Deep Generative Models. - Abhijit Mudigonda, R. Ryan Williams:
Time-Space Lower Bounds for Simulating Proof Systems with Quantum and Randomized Verifiers. - Guangrui Wang, Zhengshuo Li:
Enhanced Sufficient Battery Model for Aggregate Flexibility of Thermostatically Controlled Loads Considering Coupling Constraints. - Sedrick Scott Keh:
Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification. - Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey:
Identifying pandemic-related stress factors from social-media posts - effects on students and young-adults. - Hannes Hagmar, Robert Eriksson, Le Anh Tuan:
Comparison of security margin estimation methods under various load configurations. - Bidisha Sharma, Xiaoxue Gao, Karthika Vijayan, Xiaohai Tian, Haizhou Li:
NHSS: A Speech and Singing Parallel Database. - Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, Dominik Wittwar:
Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem. - Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
Design and Implementation of Fair Congestion Control for Data Centers Networks. - Goluck Konuko, Giuseppe Valenzise, Stéphane Lathuilière:
Ultra-low bitrate video conferencing using deep image animation. - Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
Signal Fractions Analysis and Safety-Distance Modeling in V2V Inter-lane Communications. - Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo, Nai-Wei Lo, Ernesto Damiani:
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms. - Andrea Natale, Gabriele Todeschi:
Computation of Optimal Transport with Finite Volumes. - Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant:
HORAE: an annotated dataset of books of hours. - Toru Saito, Toshimi Okubo, Naoki Takahashi:
Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving. - Wei Chen, Shang-Hua Teng, Hanrui Zhang:
On the Equivalence Between High-Order Network-Influence Frameworks: General-Threshold, Hypergraph-Triggering, and Logic-Triggering Models. - Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. - Robert Eggersmann, Laurent Stainier, Michael Ortiz, Stefanie Reese:
Efficient Data Structures for Model-free Data-Driven Computational Mechanics. - Alfonso Ortega, Julian Fiérrez, Aythami Morales, Zilong Wang, Tony Ribeiro:
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment. - Ashkan Khakzar, Soroosh Baselizadeh, Nassir Navab:
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods. - Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar:
Modifying Memories in Transformer Models. - Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao:
Pre-Trained Image Processing Transformer. - Dominik Strassel, Philipp Reusch, Janis Keuper:
Python Workflows on HPC Systems. - Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang:
An Enhanced Knowledge Injection Model for Commonsense Generation. - Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy:
The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices. - Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer:
Latent Programmer: Discrete Latent Codes for Program Synthesis. - Jan D. Smeddinck, Markus Krause, Kolja Lubitz:
Mobile Game User Research: The World as Your Lab? - Matteo Mio, Ralph Sarkis, Valeria Vignudelli:
Combining nondeterminism, probability, and termination: equational and metric reasoning. - Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier:
Non-Stationary Latent Bandits. - Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking. - Yi Chu, Paul D. Mitchell, David Grace, Jonathan Roberts, Dominic White, Tautvydas Mickus:
IRIS: A Low Duty Cycle Cross-Layer Protocol for Long-Range Wireless Sensor Networks with Low Power Budget. - Naveen Elango, Pawan Prasad K:
Introducing Inter-Relatedness between Wikipedia Articles in Explicit Semantic Analysis. - Felix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen:
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. - Sivaramakrishnan K. N., Lipika Deka, Manik Gupta:
Use of Remote Sensing Data to Identify Air Pollution Signatures in India. - Ziye Yang, Shanzheng Guan, Xiao-Lei Zhang:
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation. - Chen Qian, Yunhai Xiong, Xiang Chen:
Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction. - Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai:
Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis. - Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A Large-scale Generative Chinese Pre-trained Language Model. - Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe:
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification. - Wiebke Toussaint, Aaron Yi Ding:
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. - Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju:
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. - Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm. - Shashi Raj Pandey, Minh N. H. Nguyen, Nguyen Dang Tri, Nguyen Hoang Tran, Kyi Thar, Zhu Han, Choong Seon Hong:
Edge-assisted Democratized Learning Towards Federated Analytics. - Jure Brence, Ljupco Todorovski, Saso Dzeroski:
Probabilistic Grammars for Equation Discovery. - Khansa Rasheed, Junaid Qadir, Terence J. O'Brien, Levin Kuhlmann, Adeel Razi:
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction. - Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao:
SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods. - Peng Peng, Yong-Jie Li:
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection. - Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid:
Just Ask: Learning to Answer Questions from Millions of Narrated Videos. - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Counting People by Estimating People Flows. - Carlo Tiseo, Sydney Rebecca Charitos, Michael N. Mistry:
Theoretical Evidence Supporting Harmonic Reaching Trajectories. - Allard Oelen, Markus Stocker, Sören Auer:
Creating a Scholarly Knowledge Graph from Survey Article Tables. - Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova:
Globally Optimal Relative Pose Estimation with Gravity Prior. - (Withdrawn) Unsupervised Anomaly Detection From Semantic Similarity Scores.
- Faisal Bashir Hussain, Syed Ghazanfar Abbas, Ubaid U. Fayyaz, Ghalib A. Shah, Abdullah Toqeer, Ahmad Ali:
Towards a Universal Features Set for IoT Botnet Attacks Detection. - Milutin Brankovic, Kevin Buchin, Koen Klaren, André Nusser, Aleksandr Popov, Sampson Wong:
(k, l)-Medians Clustering of Trajectories Using Continuous Dynamic Time Warping. - Yaqing Ding, Daniel Barath, Zuzana Kukelova:
Minimal Solutions for Panoramic Stitching Given Gravity Prior. - Qianwen Wang, Zhutian Chen, Yong Wang, Huamin Qu:
Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS. - Benedetta Tondi, Andrea Costanzo, Dequ Huang, Bin Li:
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture. - Shuyang Ling:
Improved Performance Guarantees for Orthogonal Group Synchronization via Generalized Power Method. - Maria Pia Fanti, Agostino Marcello Mangini, Michele Roccotelli, Bartolomeo Silvestri, Salvatore Digiesi:
Electric Vehicle Fleet Relocation Management for Sharing Systems based on Incentive Mechanism. - Martin Kleppmann, Heidi Howard:
Byzantine Eventual Consistency and the Fundamental Limits of Peer-to-Peer Databases. - Renato Cordeiro de Amorim, Vladimir Makarenkov:
Improving cluster recovery with feature rescaling factors. - Victoria Hernández-Mederos, Dimas Martínez Morera, Jorge Estrada-Sarlabous, Valia Guerra-Ones:
Farthest sampling segmentation of triangulated surfaces. - Xin Liang, Zhen-Chen Guo, Tsung-Ming Huang, Tiexiang Li, Wen-Wei Lin:
Bifurcation Analysis of the Eigenstructure of the Discrete Single-curl Operator in Three-dimensional Maxwell's Equations with Pasteur Media. - Iacopo Pozzana, Christos Ellinas, Georgios Kalogridis, Konstantinos Sakellariou:
Spreading of performance fluctuations on real-world project networks. - Stan Z. Li, Lirong Wu, Zelin Zang:
Consistent Representation Learning for High Dimensional Data Analysis. - Francesco S. Varini, Jordan L. Boyd-Graber, Massimiliano Ciaramita, Markus Leippold:
ClimaText: A Dataset for Climate Change Topic Detection. - Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-domain Sequential Recommendations. - Susanne Albers, Leon Ladewig:
New Results for the k-Secretary Problem. - Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo:
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information. - Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Alexey Khorkin, Grigory V. Osipov:
Problems of representation of electrocardiograms in convolutional neural networks. - Susanne Albers, Arindam Khan, Leon Ladewig:
Improved Online Algorithms for Knapsack and GAP in the Random Order Model. - Fabian Hinder, Jonathan Jakob, Barbara Hammer:
Analysis of Drifting Features. - Mingzhi Jiang, Tianhao Wu, Zhe Wang, Yi Gong, Lin Zhang, Ren Ping Liu:
A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing. - Md Rifat Arefin, Minhas Kamal, Kishan Kumar Ganguly, Tarek Salah Uddin Mahmud:
A Statistical Real-Time Prediction Model for Recommender System. - Boaz Lerner, Guy Shiran, Daphna Weinshall:
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. - Shengguo Li, Xinzhe Wu, José E. Román, Ziyang Yuan, Lizhi Cheng:
A Parallel Direct Eigensolver for Sequences of Hermitian Eigenvalue Problems with No Tridiagonalization. - Rupert Mitchell, Jan Blumenkamp, Amanda Prorok:
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. - Susanne Albers, Arindam Khan, Leon Ladewig:
Best Fit Bin Packing with Random Order Revisited. - Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo:
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. - Pablo Aragón, Adriana Alvarado Garcia, Christopher A. Le Dantec, Claudia Flores-Saviaga, Jorge Saldivar:
Civic Technologies: Research, Practice and Open Challenges. - Joni Korpihalkola, Tuomo Sipola, Samir Puuska, Tero Kokkonen:
One-Pixel Attack Deceives Automatic Detection of Breast Cancer. - Maria Bada, Richard Clayton:
Online Suicide Games: A Form of Digital Self-harm or A Myth? - Jialong Xu, Bo Ai, Wei Chen, Ang Yang, Peng Sun:
Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules. - Nesara Dissanayake, Asangi Jayatilaka, Mansooreh Zahedi, Muhammad Ali Babar:
Software Security Patch Management - A Systematic Literature Review of Challenges, Approaches, Tools and Practices. - Peng Yang, Xing Xi, Tony Q. S. Quek, Xianbin Cao, Jingxuan Chen:
Power Control for a URLLC-enabled UAV system incorporated with DNN-Based Channel Estimation. - Liang Yang, Wang Guo, Daniel Benevides da Costa, Mohamed-Slim Alouini:
Free-Space Optical Communication With Reconfigurable Intelligent Surfaces. - Xinyu Gao, Yuanwei Liu, Xiao Liu, Zhijin Qin:
Resource Allocation in IRSs Aided MISO-NOMA Networks: A Machine Learning Approach. - Cristina L. Abad, Eduardo Ortiz-Holguin, Edwin F. Boza:
Have We Reached Consensus? An Analysis of Distributed Systems Syllabi. - Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck:
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge. - Joxan Jaffar, Rasool Maghareh, Sangharatna Godboley, Xuan-Linh Ha:
TracerX: Dynamic Symbolic Execution with Interpolation. - Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre:
Iterative VAE as a predictive brain model for out-of-distribution generalization. - Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan L. Yuille:
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks. - Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders. - Yinchuan Li, Xiaodong Wang, Robert L. Olesen:
Unfolded Deep Neural Network (UDNN) for High Mobility Channel Estimation. - Andrea Romanoni, Matteo Matteucci:
Facetwise Mesh Refinement for Multi-View Stereo. - Heng Yin, Hengwei Zhang, Jindong Wang, Ruiyu Dou:
Improving the Transferability of Adversarial Examples with the Adam Optimizer. - Sébastien Montella, Betty Fabre, Tanguy Urvoy, Johannes Heinecke, Lina Maria Rojas-Barahona:
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers. - Fei Ding, Feng Luo, Hongxin Hu, Yin Yang:
Multi-level Knowledge Distillation. - Marzieh Hashemipour-Nazari, Kees Goossens, Alexios Balatsoukas-Stimming:
Hardware Implementation of Iterative Projection-Aggregation Decoding of Reed-Muller Codes. - Xiaohan Cheng:
Obtain Employee Turnover Rate and Optimal Reduction Strategy Based On Neural Network and Reinforcement Learning. - Andres Carvallo, Denis Parra, Gabriel Rada, Daniel Pérez, Juan Ignacio Vasquez, Camilo Vergara:
Neural language models for text classification in evidence-based medicine. - Adam Chejanovsky, César Polindara, Ingo Münch, Carolin Birk:
Assembly of stiffness matrices via atomics. - William Kuszmaul:
Train Tracks with Gaps: Applying the Probabilistic Method to Trains. - Hugo Sica de Andrade, Ola Benderius, Christian Berger, Ivica Crnkovic, Jan Bosch:
HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms. - Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. - Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Mahmoud Darwich, Ege Beyazit, Mohsen Amini Salehi, Magdy A. Bayoumi:
Cost Efficient Repository Management for Cloud-Based On-Demand Video Streaming. - Mustafa Jarrar, Eman Karajah, Muhammad Khalifa, Khaled Shaalan:
Extracting Synonyms from Bilingual Dictionaries. - Christof Kauba, Luca Debiasi, Andreas Uhl:
Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance. - A. Leitao:
On inverse problems modeled by PDE's. - Thomas Diggelmann, Jordan L. Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, Markus Leippold:
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. - Yan Zhang, Michael J. Black, Siyu Tang:
We are More than Our Joints: Predicting how 3D Bodies Move. - Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou:
Structured Context Enhancement Network for Mouse Pose Estimation. - Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek:
Communication-Efficient Federated Distillation. - Shree Charran R, Rahul Kumar Dubey:
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks. - Shiv Ram Dubey:
A Decade Survey of Content Based Image Retrieval using Deep Learning. - Erwin de Gelder, Olaf Op den Camp:
Procedure for the Safety Assessment of an Autonomous Vehicle Using Real-World Scenarios. - Sajjad Asefi, Sergei Parsegov, Elena N. Gryazina:
Distributed state estimation: a novel stopping criterion. - Prerit Datta, Natalie R. Lodinger, Akbar Siami Namin, Keith S. Jones:
Cyber-Attack Consequence Prediction. - Yang Zhao, Changyou Chen:
Unpaired Image-to-Image Translation via Latent Energy Transport. - Ming Lu, Tong Chen, Dandan Ding, Fengqing Zhu, Zhan Ma:
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning. - Stephan Kunne, Guillaume Potier, Jean Mérot, Perrine Paul-Gilloteaux:
Cross-modal registration using point clouds and graph-matching in the context of correlative microscopies. - Naman Shah, Abhyudaya Srinet, Siddharth Srivastava:
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning. - Raghav Puri, Archit Gupta, Manas Sikri, Mohit Tiwari, Nitish Pathak, Shivendra Goel:
Emotion Detection using Image Processing in Python. - Hongda Wu, Ping Wang:
Fast-Convergent Federated Learning with Adaptive Weighting. - Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic:
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. - Almos Zarandy, Ilia Shumailov, Ross J. Anderson:
Hey Alexa what did I just type? Decoding smartphone sounds with a voice assistant. - Natalie Collina, Nicole Immorlica, Kevin Leyton-Brown, Brendan Lucier, Neil Newman:
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates. - Chao Chen, Di Zhao, Wei Chen, Sei Zhen Khong, Li Qiu:
Phase of Nonlinear Systems. - James Gale, Max Seiden, Çagatay Demiralp:
Sigma Worksheet: Interactive Construction of OLAP Queries. - Peyman Afshani, Pingan Cheng:
Lower Bounds for Semialgebraic Range Searching and Stabbing Problems. - Alec Michael Dunton, Alyson Fox:
Mixed precision matrix interpolative decompositions for model reduction. - Mario Lino Valencia, Chris D. Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil A. Bharath:
Simulating Surface Wave Dynamics with Convolutional Networks. - Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation. - Arpan Kusari:
Assessing and Accelerating Coverage in Deep Reinforcement Learning. - Zachary Teed, Jia Deng:
RAFT-3D: Scene Flow using Rigid-Motion Embeddings. - Mohit Mayank:
Intrinsic analysis for dual word embedding space models. - Vasilis Kontonis, Sihan Liu, Christos Tzamos:
Convergence and Sample Complexity of SGD in GANs. - Simina Brânzei, Dimitris Paparas, Nicholas J. Recker:
Searching, Sorting, and Cake Cutting in Rounds. - Kelvin C. K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, Chen Change Loy:
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution. - K. R. Jayaram, Archit Verma, Ashish Verma, Gegi Thomas, Colin Sutcher-Shepard:
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent. - Dimitrios Rafailidis, Stefanos Antaris:
Adaptive Neural Architectures for Recommender Systems. - Jinggang Zhuo, Ling Fan, Harry Jiannan Wang:
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN. - Yuchen Wang, Matthieu Chan Chee, Ziyad Edher, Minh Duc Hoang, Shion Fujimori, Sornnujah Kathirgamanathan, Jesse Bettencourt:
Forecasting Black Sigatoka Infection Risks with Latent Neural ODEs. - Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. - Mingjian Zhu, Kai Han, Changbin Yu, Yunhe Wang:
Dynamic Feature Pyramid Networks for Object Detection. - Abdul Fatir Ansari, Ming Liang Ang, Harold Soh:
Refining Deep Generative Models via Wasserstein Gradient Flows. - Anirudh Tunga, Sai Vidyaranya Nuthalapati, Juan P. Wachs:
Pose-based Sign Language Recognition using GCN and BERT. - Dennis Gläser, Martin Schneider, Bernd Flemisch, Rainer Helmig:
Comparison of cell- and vertex-centered finite-volume schemes for flow in fractured porous media. - Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram, Saurabh Bagchi:
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems. - Lei Miao, Dingde Jiang:
Wireless Secret Sharing Game between Two Legitimate Users and an Eavesdropper. - Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. - Seyyed Rashid Khazeiynasab, Junjian Qi, Issa Batarseh:
Generator Parameter Estimation by Q-Learning Based on PMU Measurements. - Prasenjit Karmakar:
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning. - Koen Ruymbeek, Karl Meerbergen, Wim Michiels:
Subspace method for multiparameter-eigenvalue problems based on tensor-train representations. - Revan MacQueen, Nicholas Bombardieri, James R. Wright, Karim Ali:
Game Theoretic Malware Detection. - Matús Sulír, Jaroslav Porubän:
Designing Voice-Controllable APIs. - Haozheng Luo, Ruiyang Qin:
Open-Ended Multi-Modal Relational Reason for Video Question Answering. - Daniel Chen, Yekun Xu, Betis Baheri, Samuel Alexander Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu:
Quantum-Inspired Classical Algorithm for Slow Feature Analysis. - Elvis Rojas, Albert Njoroge Kahira, Esteban Meneses, Leonardo Bautista-Gomez, Rosa M. Badia:
A Study of Checkpointing in Large Scale Training of Deep Neural Networks. - Sofian Hamad, Taoufik Yeferny:
A Chatbot for Information Security. - Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb:
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. - Milan Nosál, Jaroslav Porubän, Matús Sulír:
Customizing Host IDE for Non-programming Users of Pure Embedded DSLs: A Case Study. - Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia:
Malware Detection using Artificial Bee Colony Algorithm. - Qian Wang, Fanlin Meng, Toby P. Breckon:
Data Augmentation with norm-VAE for Unsupervised Domain Adaptation. - Mostafa Abdollahi, Farshad Eshghi, Manoochehr Kelarestaghi, Mozafar Bag-Mohammadi:
Opportunistic Routing Metrics: A Timely One-Stop Tutorial Survey. - Tim Roughgarden:
Transaction Fee Mechanism Design for the Ethereum Blockchain: An Economic Analysis of EIP-1559. - Caglar Yildirim:
A Review of Deep Learning Approaches to EEG-Based Classification of Cybersickness in Virtual Reality. - Matt Luckcuck:
Another Tool in the Box: Why use Formal Methods for Autonomous Systems? - Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville:
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. - Morteza Ghahremani, Yonghuai Liu, Bernard Tiddeman:
FFD: Fast Feature Detector. - R. C. Hillyard, Yunlu Liaozheng, Sai Vineeth K. R.:
Huskysort. - Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári:
Towards Good Practices in Self-supervised Representation Learning. - Georgios Tsatiris, Kostas Karpouzis, Stefanos D. Kollias:
A compact sequence encoding scheme for online human activity recognition in HRI applications. - Allison Woodruff, Yasmin Asare Anderson, Katherine Jameson Armstrong, Marina Gkiza, Jay Jennings, Christopher Moessner, Fernanda B. Viégas, Martin Wattenberg, Lynette Webb, Fabian Wrede, Patrick Gage Kelley:
"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity? - Peter Wu, Yifan Zhong, Alan W. Black:
Automatically Identifying Language Family from Acoustic Examples in Low Resource Scenarios. - Weisheng Si, Balume Mburano, Wei Xing Zheng:
Measuring Network Robustness by Average Network Flow. - Marianne Guillet, Gerhard Hiermann, Alexander Kröller, Maximilian Schiffer:
Electric Vehicle Charging Station Search in Stochastic Environments. - Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov:
On Statistical Analysis of MOEAs with Multiple Performance Indicators. - Saurav K. Shastri, Rizwan Ahmad, Philip Schniter:
Autotuning Plug-and-Play Algorithms for MRI. - Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov:
Diffusion is All You Need for Learning on Surfaces. - Aaron J. Snoswell, Surya P. N. Singh, Nan Ye:
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. - Javier Flores, Sergi Nadal, Oscar Romero:
Scalable Data Discovery Using Profiles. - Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How much do explanations from the teacher aid students? - Zhe Liu, Fuchun Peng:
Federated Marginal Personalization for ASR Rescoring. - Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Efficient Stereo Matching. - Shibo Li, Robert M. Kirby, Shandian Zhe:
Deep Multi-Fidelity Active Learning of High-dimensional Outputs. - Behrouz Bokharaeian, Alberto Díaz:
Automatic Extraction of Ranked SNP-Phenotype Associations from Literature through Detecting Neural Candidates, Negation and Modality Markers. - Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen:
ReMP: Rectified Metric Propagation for Few-Shot Learning. - Yaguan Qian, Jiamin Wang, Bin Wang, Zhaoquan Gu, Xiang Ling, Chunming Wu:
Towards Imperceptible Adversarial Image Patches Based on Network Explanations. - Yuan Meng, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
DYNAMAP: Dynamic Algorithm Mapping Framework for Low Latency CNN Inference. - Kellie Corona, Katie Osterdahl, Roderic Collins, Anthony Hoogs:
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection. - Gabriella Isaac, Lauren Hayes, Todd Ingalls:
Cross-Modal Terrains: Navigating Sonic Space through Haptic Feedback. - Lauren Hayes, Adnan Marquez-Borbon:
Nuanced and Interrelated Mediations and Exigencies (NIME): Addressing the Prevailing Political and Epistemological Crises. - Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu Lu:
CPF: Learning a Contact Potential Field to Model the Hand-object Interaction. - Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. - Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein:
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. - Lauren Hayes:
Enacting Musical Worlds: Common Approaches to using NIMEs within Performance and Person-Centred Arts Practices. - Sertac Karaman, Levent Guvenç:
Low Cost, Educational Internal Combustion Engine Electronic Control Unit Hardware-in-the-Loop Test Systems. - Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao:
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels. - Baiyang Chen, Xiaoliang Chen:
MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage. - Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim:
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution. - Xiangqiang Gao, Rongke Liu, Aryan Kaushik:
Virtual Network Function Placement in Satellite Edge Computing with a Potential Game Approach. - Zhebin Wu, Chuan Chen, Cong Liu, Zibin Zheng:
Tensor Completion via Few-shot Convolutional Sparse Coding. - Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo:
Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance. - Qi Zhang, Antoni B. Chan:
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes. - Yarong Luo, Mengyuan Wang, Chi Guo:
The Geometry and Kinematics of the Matrix Lie Group SEK(3). - Xupeng Wei, Achilleas Anastasopoulos:
Mechanism Design for Demand Management in Energy Communities. - Benjamin Smith:
Ship Detection: Parameter Server Variant. - Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
How Can We Know When Language Models Know? - Qing Ping, Feiyang Niu, Govind Thattai, Joel Chengottusseriyil, Qiaozi Gao, Aishwarya N. Reganti, Prashanth Rajagopal, Gökhan Tür, Dilek Hakkani-Tür, Prem Natarajan:
Interactive Teaching for Conversational AI. - Milutin Brankovic, Joachim Gudmundsson, André van Renssen:
Local Routing in a Tree Metric 1-Spanner. - Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic:
Anytime Control with Markovian Computation and Communication Resources. - Kürsat Tekbiyik, Günes Karabulut-Kurt, Ali Riza Ekti, Halim Yanikomeroglu:
Reconfigurable Intelligent Surfaces in Action for Non-Terrestrial Networks. - Kang Gao, J. Nicholas Laneman, Jonathan D. Chisum, Ralf M. Bendlin, Aditya Chopra, Bertrand M. Hochwald:
Analyzing Training Using Phase Transitions in Entropy - Part II: Application to Quantization and Classification. - Kang Gao, Bertrand M. Hochwald:
Analyzing Training Using Phase Transitions in Entropy - Part I: General Theory. - Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang:
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization. - Kevin Lybarger, Mari Ostendorf, Matthew Thompson, Meliha Yetisgen:
Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework. - Yusuke Koda, Masao Shinzaki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Millimeter Wave Communications on Overhead Messenger Wire: Deep Reinforcement Learning-Based Predictive Beam Tracking. - Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. - Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou:
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. - Kunal Talwar:
On the Error Resistance of Hinge Loss Minimization. - Jinfeng Wen, Yi Liu, Zhenpeng Chen, Yun Ma, Haoyu Wang, Xuanzhe Liu:
Understanding Characteristics of Commodity Serverless Computing Platforms. - Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Weijun Sun:
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Pu Li:
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution. - Motoshi Abe, Jun'ichi Miyao, Takio Kurita:
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding. - Alexander Zlotnik, Raimondas Ciegis:
A compact higher-order finite-difference scheme for the wave equation can be strongly non-dissipative on non-uniform meshes. - Xiayu Zhong:
Classification of Multimodal Hate Speech - The Winning Solution of Hateful Memes Challenge. - Julie Gerlings, Arisa Shollo, Ioanna D. Constantiou:
Reviewing the Need for Explainable Artificial Intelligence (xAI). - Doruk Pancaroglu:
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks. - Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang:
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning. - Lima Agnel Tony, Ashwini Ratnoo, Debasish Ghose:
CORRIDRONE: Corridors for Drones, An Adaptive On-Demand Multi-Lane Design and Testbed. - Ritwik Gupta, Eric T. Heim:
Proceedings of NeurIPS 2019 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response. - Harald Papp, Marc Hanussek:
A Methodology for Deriving Evaluation Criteria for Software Solutions. - Amin Vahidi-Moghaddam, Arman Rajaei, Moosa Ayati, Ramin Vatankhah, Mohammad Reza Hairi Yazdi:
Adaptive prescribed-time disturbance observer using nonsingular terminal sliding mode control: Extended Kalman filter and particle swarm optimization. - Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. - Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. - Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images. - Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. - Shuyu Zheng, Haoyu Wang, Lei Wu, Gang Huang, Xuanzhe Liu:
VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts. - Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia:
Defending Against Contagious Attacks on a Network with Resource Reallocation. - Rui An, Xingtian Shi, Baohan Xu:
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series. - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens:
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking. - Fengkai Yuan, Kai Wang, Rui Hou, Xiaoxin Li, Peinan Li, Lutan Zhao, Jiameng Ying, Amro Awad, Dan Meng:
PiPoMonitor: Mitigating Cross-core Cache Attacks Using the Auto-Cuckoo Filter. - Jernej Kozak:
On Planar Polynomial Geometric Interpolation. - Tutian Tang, Wenqiang Xu, Ruolin Ye, Lixin Yang, Cewu Lu:
Learning Universal Shape Dictionary for Realtime Instance Segmentation. - Qusay Idrees Sarhan, Bestoun S. Ahmed, Miroslav Bures, Kamal Z. Zamli:
Software Module Clustering: An In-Depth Literature Analysis. - Quentin Paletta, Joan Lasenby:
A Temporally Consistent Image-based Sun Tracking Algorithm for Solar Energy Forecasting Applications. - Ibrahim Merad, Yiyang Yu, Emmanuel Bacry, Stéphane Gaïffas:
About contrastive unsupervised representation learning for classification and its convergence. - Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen:
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks. - Ori Lahav, Egor Namakonov, Jonas Oberhauser, Anton Podkopaev, Viktor Vafeiadis:
Making Weak Memory Models Fair. - Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Marvin Geiselhart, Stephan ten Brink:
Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels. - Erwin de Gelder, Olaf Op den Camp:
Tagging Real-World Scenarios for the Assessment of Autonomous Vehicles. - Joshua A. Grochow, Youming Qiao, Gang Tang:
Average-case algorithms for testing isomorphism of polynomials, algebras, and multilinear forms. - Silvano Pitassi, Francesco Trevisan, Ruben Specogna:
Explicit geometric construction of sparse inverse mass matrices for arbitrary tetrahedral grids. - Dávid Csercsik:
Quantitative supply security related significance measures for gas reservoires. - Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha:
PlueckerNet: Learn to Register 3D Line Reconstructions. - Rong Zhu, Mattia Rigotti:
Self-correcting Q-Learning. - Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Jie Xu, Changhai Yi:
Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning. - Matteo Acclavio, Ross Horne, Lutz Straßburger:
An Analytic Propositional Proof System on Graphs. - L. Beirão da Veiga, Franco Dassi, Carlo Lovadina, Giuseppe Vacca:
SUPG-stabilized Virtual Elements for diffusion-convection problems: a robustness analysis. - Samuel Todd Bromley, John Sheppard, Mark Scanlon, Nhien-An Le-Khac:
Retracing the Flow of the Stream: Investigating Kodi Streaming Services. - Yiran Zhong, Yuchao Dai, Hongdong Li:
Efficient Depth Completion Using Learned Bases. - Mingfei Yu, Masahiro Fujita:
Parallel Scheduling Self-attention Mechanism: Generalization and Optimization. - Marco Antonio Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin:
Neural Teleportation. - Gamal Elkoumy, Alisa Pankova, Marlon Dumas:
Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining. - Qiong Wu, Hanxu Liu, Ruhai Wang, Pingyi Fan, Qiang Fan, Zhengquan Li:
Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems. - Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah:
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits. - Tetiana A. Vakaliuk, Valerii V. Kontsedailo, Dmytro S. Antoniuk, Olha V. Korotun, Iryna S. Mintii, Andrey V. Pikilnyak:
Using game simulator Software Inc in the Software Engineering education. - Francois Roewer-Despres, Janelle Berscheid:
Continuous Subject-in-the-Loop Integration: Centering AI on Marginalized Communities. - Eyal Arviv, Simo Hanouna, Oren Tsur:
It's a Thin Line Between Love and Hate: Using the Echo in Modeling Dynamics of Racist Online Communities. - Ghadeer O. Ghosheh, Bana Alamad, Kai-Wen Yang, Faisil Syed, Nasir Hayat, Imran Iqbal, Fatima Al Kindi, Sara Al Junaibi, Maha Al Safi, Raghib Ali, Walid Zaher, Mariam Al Harbi, Farah E. Shamout:
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study. - Charis Ann M. Sancho, Uriel M. Melendres:
Development of Dynamic Local Area Network (LAN) Based Mock Board Examination System. - Mustafa Hajij, Ghada Zamzmi, Matthew Dawson, Greg Muller:
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures. - Stephanie Lieggi, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn:
The CROSS Incubator: A Case Study for funding and training RSEs. - Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda:
Applied Machine Learning for Games: A Graduate School Course. - Neelam Singh, S. V. Sai Santosh, Sumit Jagdish Darak:
Towards Intelligent Reconfigurable Wireless Physical Layer (PHY). - Oran Gafni, Oron Ashual, Lior Wolf:
Single-Shot Freestyle Dance Reenactment. - Aikaterini Kanta, Iwen Coisel, Mark Scanlon:
Smarter Password Guessing Techniques Leveraging Contextual Information and OSINT. - Kenn Migan Vincent C. Gumonan, Aleta C. Fabregas:
ASIAVR: Asian Studies Virtual Reality Game a Learning Tool. - Chinasa T. Okolo:
AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts. - Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, Adrian Weller:
Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. - Albert V. Paytaren:
Seminar and Training Programs Recommender System for Faculty Members of Higher Education Institution. - Arvind W. Kiwelekar, Sanil S. Gandhi, Laxman D. Netak, Shankar B. Deosarkar:
Use-cases of Blockchain Technology for Humanitarian Engineering. - Dominic Jack, Frédéric Maire, Simon Denman, Anders P. Eriksson:
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks. - Bartolomeo Silvestri, Alessandro Rinaldi, Antonella Berardi, Michele Roccotelli, Simone Acquaviva, Maria Pia Fanti:
A Serious Game Approach for the Electro-Mobility Sector. - Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert:
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility. - Pietro Spadaccino, Francesca Cuomo:
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing. - Matt Luckcuck, Marie Farrell:
Proceedings Second Workshop on Formal Methods for Autonomous Systems, FMAS 2020, Virtual, December 7, 2020. EPTCS 329, 2020 [contents] - Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon:
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation. - Julius G. Garcia, Connie C. Aunario, Go Frendi Gunawan:
Usability Dimensions and Behavioral Intention to Use Markdown to Moodle in Test Construction. - Berthold Hoffmann, Mark Minas:
Proceedings of the Eleventh International Workshop on Graph Computation Models, GCM@STAF 2020, Online-Workshop, 24th June 2020. EPTCS 330, 2020 [contents] - Pegdwendé N. Sawadogo, Jérôme Darmont, Fabien Duchateau:
Feedback from the participants of the ADBIS, TPDL and EDA 2020 joint conferences. - Eric Li, Jingyi Su, Hao Sheng, Lawrence Wai:
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments. - Sepinoud Azimi, Carmen-Gabriela Popa, Tatjana Cucic:
Improving Students Performance in Small-Scale Online Courses - A Machine Learning-Based Intervention. - Chinelo Blessing Oribhabor:
Investigating the Influence of Computer Anxiety on the Academic Performance of Junior Secondary School Students in Computer Studies in Nigeria. - Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski:
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. - Mandana Samiei, Caroline Weis, Larissa Schiavo, Tatjana Chavdarova, Fariba Yousefi:
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020. - Emad Alenany, Abdessamad Ait El Cadi:
Modeling patient flow in the emergency department using machine learning and simulation. - Mark Weber, Mikhail Yurochkin, Sherif Botros, Vanio Markov:
Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination. - Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, Ariel Neufeld:
Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems. - Deepika Tiwari, Long Zhang, Martin Monperrus, Benoit Baudry:
Production Monitoring to Improve Test Suites. - Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram:
Meta-Cognition-Based Simple And Effective Approach To Object Detection. - Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. - Francisco J. Castellanos, Antonio Javier Gallego, Jorge Calvo-Zaragoza:
Unsupervised Neural Domain Adaptation for Document Image Binarization. - Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. - Arturo Cruz-Maya:
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment. - Chaofeng Chen, Dihong Gong, Hao Wang, Zhifeng Li, Kwan-Yee K. Wong:
Learning Spatial Attention for Face Super-Resolution. - Xiao Mao:
A natural extension to the convex hull problem and a novel solution. - Hans L. Bodlaender:
Parameterized complexity of Bandwidth of Caterpillars and Weighted Path Emulation. - Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Byoung-Tak Zhang:
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. - Sifat Ibne Mushfique, Ahmad Alsharoa, Murat Yuksel:
MirrorVLC: Optimal Mirror Placement for Multi-Element VLC Networks. - Roee Shraga, Ofra Amir, Avigdor Gal:
Learning to Characterize Matching Experts. - David Griffiths, Jan Boehm, Tobias Ritschel:
Curiosity-driven 3D Scene Structure from Single-image Self-supervision. - Sebastian Garcia-Valencia, Alejandro Betancourt, Juan Guillermo Lalinde Pulido:
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music. - Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki:
Policy Supervectors: General Characterization of Agents by their Behaviour. - Fabian Schilling, Fabrizio Schiano, Dario Floreano:
Vision-based flocking in outdoor environments. - Leticia Pinto-Alva, Ian K. Torres, Rosangel Garcia, Ziyan Yang, Vicente Ordonez:
Chair Segments: A Compact Benchmark for the Study of Object Segmentation. - Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng:
Partial Gromov-Wasserstein Learning for Partial Graph Matching. - Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu:
Retrieving and ranking short medical questions with two stages neural matching model. - Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. - Leonardo Bonati, Salvatore D'Oro, Michele Polese, Stefano Basagni, Tommaso Melodia:
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks. - Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. - Daniel Etiemble:
Multivalued circuits and Interconnect issues. - Rifat Ara Shams, Mojtaba Shahin, Gillian C. Oliver, Waqar Hussain, Harsha Perera, Arif Nurwidyantoro, Jon Whittle:
Measuring Bangladeshi Female Farmers' Values for Agriculture Mobile Applications Development. - Haolin Liu:
The relation between eigenvalue/eigenvector and matrix game. - Taewook Kim, Yonghyun Kim:
Suppressing Spoof-irrelevant Factors for Domain-agnostic Face Anti-spoofing. - Nima Safaei, Pooria Assadi:
Regularization and False Alarms Quantification: Two Sides of the Explainability Coin. - Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust are Randomized Smoothing based Defenses to Data Poisoning? - Zhou Zhou, Yan Xin, Hao Chen, Charlie Zhang, Lingjia Liu:
Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks. - Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro:
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? - Jakob Prange, Nathan Schneider, Vivek Srikumar:
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories. - Shenghuan Yang, Md. Tariqul Islam:
IBM Employee Attrition Analysis. - Jordan Cambe, Sebastian Grauwin, Patrick Flandrin, Pablo Jensen:
Exploring and comparing temporal clustering methods. - Ana Sabina Uban, Alina Maria Ciobanu, Liviu P. Dinu:
A Computational Approach to Measuring the Semantic Divergence of Cognates. - William Knauth:
The Self-Simplifying Machine: Exploiting the Structure of Piecewise Linear Neural Networks to Create Interpretable Models. - Jing Su, Chenghua Lin, Mian Zhou, Qingyun Dai, Haoyu Lv:
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling. - Saman Feghhi, Erik Aumayr, Filippo Vannella, Ezeddin Al Hakim, Grigorios Iakovidis:
Safe Reinforcement Learning for Antenna Tilt Optimisation using Shielding and Multiple Baselines. - Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush:
Learning from others' mistakes: Avoiding dataset biases without modeling them. - Valentin Iovene, Gaston E. Zanitti, Demian Wassermann:
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. - Liviu P. Dinu, Ana Sabina Uban:
Analyzing Stylistic Variation across Different Political Regimes. - Viktor Henriksson, Manfred Kufleitner:
Nesting negations in FO2 over infinite words. - Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola:
Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers. - Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Improved Contrastive Divergence Training of Energy Based Models. - Johannes Klaus Fichte, Markus Hecher, Florim Hamiti:
The Model Counting Competition 2020. - Navod Neranjan Thilakarathne, Mohan Krishna Kagita, W. D. Madhuka Priyashan:
Green Internet of Things for a Better World. - Tong Huang, Sicun Gao, Le Xie:
Transient Stability Assessment of Networked Microgrids Using Neural Lyapunov Methods. - Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner, Jürgen Fleischer:
Siamese Basis Function Networks for Defect Classification. - Calin-Ioan Gheorghiu:
Spectral Collocation Solutions to Second Order Singular Sturm-Liouville Eigenproblems. - Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. - Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu:
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines. - Jaykumar Vaidya, Mohammad Khairul Bashar, Nikhil Shukla:
Using Noise to Augment Synchronization among Oscillators. - Aleksei Gonnochenko, Aleksandr Semochkin, Dmitry E. Egorov, Dmitrii Statovoy, Seyedhassan Zabihifar, Aleksey Postnikov, Elena Seliverstova, Ali Zaidi, Jayson Stemmler, Kevin Limkrailassiri:
Coinbot: Intelligent Robotic Coin Bag Manipulation Using Deep Reinforcement Learning And Machine Teaching. - Fengwen Wang, Ole Sigmund:
Extreme 3D architected isotropic materials with tunable stiffness and buckling strength. - Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. - Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell:
DERAIL: Diagnostic Environments for Reward And Imitation Learning. - Md. Musfiqur Rahman, Mashrur Rashik, Md. Mamun-Or-Rashid, Md. Mosaddek Khan:
Improving Solution Quality of Bounded Max-Sum Algorithm to Solve DCOPs involving Hard and Soft Constraints. - Xiaoqi Li, Ting Chen, Xiapu Luo, Chenxu Wang:
CLUE: Towards Discovering Locked Cryptocurrencies in Ethereum. - Taoufik Yeferny, Sofian Hamad, Salem Belhaj:
CDP: a Content Discovery Protocol for Mobile P2P Systems. - Sheng Lei, Alexander J. Flueck:
Proper Selection of Obreshkov-Like Numerical Integrators Used as Numerical Differentiators. - Mihai Dusmanu, Ondrej Miksik, Johannes L. Schönberger, Marc Pollefeys:
Cross-Descriptor Visual Localization and Mapping. - (Withdrawn) Deep Graph Neural Networks with Shallow Subgraph Samplers.
- Oscar King, Geoffrey Goodell:
Analysis of a Decentralised Digital Token Architecture for Public Transport. - Kaidi Wang, Wenwen Zhang:
The Role of Urban Form in the Performance of Shared Automated Vehicles. - Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. - Yang Liu, Hung D. Nguyen:
Gaussian Process-based Approach for Bilevel Optimization in Power Systems - A Critical Load Restoration Case. - Jonathan D. Jones, Cathryn S. Cortesa, Amy Lynne Shelton, Barbara Landau, Sanjeev Khudanpur, Gregory D. Hager:
Fine-grained activity recognition for assembly videos. - Yang Liu, Hung D. Nguyen:
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers. - Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter:
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. - Minke Xiu, Ellis E. Eghan, Zhen Ming Jiang, Bram Adams:
An Empirical Study on Release Engineering Practices in Open Source ML Package Repositories. - Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. - Thomas L. Carroll:
Do Reservoir Computers Work Best at the Edge of Chaos? - Domenico Cantone, Carmelo Fabio Longo, Marianna Nicolosi Asmundo, Daniele Francesco Santamaria, Corrado Santoro:
Ontological Smart Contracts in OASIS: Ontology for Agents, Systems, and Integration of Services. - Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys:
PatchmatchNet: Learned Multi-View Patchmatch Stereo. - Revanth Gangi Reddy, Bhavani Iyer, Md. Arafat Sultan, Rong Zhang, Avi Sil, Vittorio Castelli, Radu Florian, Salim Roukos:
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training. - Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
A Few Guidelines for Incremental Few-Shot Segmentation. - Gaurav Bhardwaj, Utkarsh A. Mishra, N. Sukavanam, R. Balasubramanian:
Cycloidal Trajectory Realization on Staircase with Optimal Trajectory Tracking Control based on Neural Network Temporal Quantized Lagrange Dynamics (NNTQLD). - Ananth Goyal:
Constructing Segmented Differentiable Quadratics to Determine Algorithmic Run Times and Model Non-Polynomial Functions. - Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction. - Jihua Huang, Amir Tamrakar:
ACE-Net: Fine-Level Face Alignment through Anchors and Contours Estimation. - Hamdy Mubarak, Sabit Hassan:
ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic. - David R. Bélanger, Ziyuan Gao, Sanjay Jain, Wei Li, Frank Stephan:
Learnability and Positive Equivalence Relations. - Yuqi Ouyang, Victor Sanchez:
Video Anomaly Detection by Estimating Likelihood of Representations. - Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky:
Fair Attribute Classification through Latent Space De-biasing. - Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle:
Deep Data Flow Analysis. - Stefan Vlaski, Elsa Rizk, Ali H. Sayed:
Second-Order Guarantees in Federated Learning. - Sara Berri, Vineeth S. Varma, Samson Lasaulce, Mohammed Said Radjef, Jamal Daafouz:
Studying Node Cooperation in Reputation Based Packet Forwarding within Mobile Ad hoc Networks. - Jie Ying Wu, Nural Yilmaz, Peter Kazanzides, Ugur Tümerdem:
Estimation of Trocar and Tool Interaction Forces on the da Vinci Research Kit with Two-Step Deep Learning. - Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-shot Segmentation of Anatomical Structures. - Rathziel Roncancio, Jupyoung Kim, Aly El Gamal, Jay P. Gore:
Data-driven Analysis of Turbulent Flame Images. - Shuyan Hu, Xiaojing Chen, Wei Ni, Ekram Hossain, Xin Wang:
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications. - Long Yang, Qian Zheng, Gang Pan:
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. - Cliff B. Jones, Alan Burns:
A Rely-Guarantee Specification of Mixed-Criticality Scheduling. - Minhas Kamal, Amin Ahsan Ali, Muhammad Asif Hossain Khan, Mohammad Shoyaib:
Braille to Text Translation for Bengali Language: A Geometric Approach. - Hugo Esquivel, Arun Prakash, Guang Lin:
Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems. - Sara Berri, Vineeth S. Varma, Samson Lasaulce, Mohammed Said Radjef:
Correlated Equilibria in Wireless Power Control Games. - Nikolai Karpov, Qin Zhang:
Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit. - Davis Wertheimer, Luming Tang, Bharath Hariharan:
Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks. - Sara Berri, Samson Lasaulce, Mohammed Said Radjef:
Power control with partial observation in wireless ad hoc networks. - Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene:
DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. - Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation. - Sara Berri, Samson Lasaulce, Mohammed Said Radjef:
Efficient Packet Transmission in Wireless Ad Hoc Networks with Partially Informed Nodes. - Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman:
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. - Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy:
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. - Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik:
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. - Siddharth Bhandari, Prahladh Harsha, Mrinal Kumar, Madhu Sudan:
Decoding Multivariate Multiplicity Codes on Product Sets. - Ian Covert, Su-In Lee:
Improving KernelSHAP: Practical Shapley Value Estimation via Linear Regression. - Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Differential Morphed Face Detection Using Deep Siamese Networks. - Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection. - Ling-Wei Kong, Huawei Fan, Celso Grebogi, Ying-Cheng Lai:
Machine learning prediction of critical transition and system collapse. - Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez:
Effective Feedback for Introductory CS Theory: A JFLAP Extension and Student Persistence. - Diab W. Abueidda, Qiyue Lu, Seid Koric:
Deep learning collocation method for solid mechanics: Linear elasticity, hyperelasticity, and plasticity as examples. - Sergio Amat, David Levin, Juan Ruiz-Álvarez:
Corrected approximation strategy for piecewise smooth bivariate functions. - Lucy Simko, Jack Lucas Chang, Maggie Jiang, Ryan Calo, Franziska Roesner, Tadayoshi Kohno:
COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion. - Daniel S. Brown, Jordan Schneider, Scott Niekum:
Value Alignment Verification. - Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. - Hongyu Guo:
Regularization via Adaptive Pairwise Label Smoothing. - Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models. - Patrick Lavin, Jeffrey Young, Rich Vuduc, Jonathan Beard:
Online Model Swapping in Architectural Simulation. - Sergio Amat, David Levin, Juan Ruiz-Álvarez:
Corrected subdivision approximation of piecewise smooth functions. - Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks. - Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan:
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. - Jaime Leonardo Maldonado Cañón, Asil Kaan Bozcuoglu, Christoph Zetzsche:
Multimodal Contact Detection using Auditory and Force Features for Reliable Object Placing in Household Environments. - Maria Urlea, Sergey Loyka:
Simple Closed-Form Approximations for Achievable Information Rates of Coded Modulation Systems. - Anastasios Kakkavas, Henk Wymeersch, Gonzalo Seco-Granados, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Josef A. Nossek:
Power Allocation and Parameter Estimation for Multipath-based 5G Positioning. - Zhenzhen Weng, Serena Yeung:
Holistic 3D Human and Scene Mesh Estimation from Single View Images. - Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms. - Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Dai Hoang Tran, Munazza Zaib, Salma Abdalla Hamad, Abdulwahab Aljubairy, Ahoud Abdulrahmn F. Alhazmi, Subhash Sagar, Congbo Ma:
The 10 Research Topics in the Internet of Things. - Michael Franklin Bosu, Stephen G. MacDonell, Peter A. Whigham:
Time-Aware Models for Software Effort Estimation. - Anastasios Kakkavas, Mario Hernán Castañeda García, Gonzalo Seco-Granados, Henk Wymeersch, Richard A. Stirling-Gallacher, Josef A. Nossek:
Position Information from Single-Bounce Reflections. - Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker, Ernest Pokropek, Willa Potosnak, Salomey Osei, Björn Lütjens:
Graph Neural Networks for Improved El Niño Forecasting. - Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales:
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change. - Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel:
Reliable Model Compression via Label-Preservation-Aware Loss Functions. - Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye:
Domain Adaptation with Incomplete Target Domains. - Kyle Hatch, John Mern, Mykel J. Kochenderfer:
Obstacle Avoidance Using a Monocular Camera. - Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John C. Grundy:
Explainable AI for Software Engineering. - Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel:
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning. - Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. - Wen Wang, Honglei Zhuang, Mi Zhou, Hanyu Liu, Beibei Li:
What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education. - Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng:
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. - Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen:
A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning. - Jianyu Niu, Chen Feng:
Leaderless Byzantine Fault Tolerant Consensus. - Lei Zhang, Fei Zhou, Wei Wei, Yanning Zhang:
Meta-Generating Deep Attentive Metric for Few-shot Classification. - Christopher Thomas, Yale Song, Adriana Kovashka:
Learning to Transfer Visual Effects from Videos to Images. - Joy Hsu, Jeffrey Gu, Gong-Her Wu, Wah Chiu, Serena Yeung:
Learning Hyperbolic Representations for Unsupervised 3D Segmentation. - Mehrnoosh Askarpour:
How to Formally Model Human in Collaborative Robotics. 1-14 - Rafael C. Cardoso, Louise A. Dennis, Marie Farrell, Michael Fisher, Matt Luckcuck:
Towards Compositional Verification for Modular Robotic Systems. 15-22 - Mario Gleirscher:
YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments. 31-47 - Fatma Kachi, Chafia Bouanaka, Souheir Merkouche:
A Formal Model for Quality-Driven Decision Making in Self-Adaptive Systems. 48-64 - Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza:
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy. - Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao:
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. - Nils Weidmann, Anthony Anjorin, James Cheney:
VICToRy: Visual Interactive Consistency Management in Tolerant Rule-based Systems. 1-12 - Christian Sandmann:
Graph Repair and its Application to Meta-Modeling. 13-34 - Okan Özkan:
Modeling Adverse Conditions in the Framework of Graph Transformation Systems. 35-54 - Dominique Duval, Rachid Echahed, Frédéric Prost:
An Algebraic Graph Transformation Approach for RDF and SPARQL. 55-70 - Hans-Jörg Kreowski, Aaron Lye:
Graph Surfing in Reaction Systems from a Categorial Perspective. 71-87 - Tikhon Pshenitsyn:
Weak Greibach Normal Form for Hyperedge Replacement Grammars. 108-125 - Russ Harmer, Eugenia Oshurko:
Reversibility and Composition of Rewriting in Hierarchies. 145-162 - Gia Septiana Wulandari, Detlef Plump:
Verifying Graph Programs with First-Order Logic. 181-200 - Qing Liu, Haotian Liu, Yixiong Liang:
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images. - Qiaohua Liu, Qian Zhang, Dongmei Shen:
Condition numbers of the mixed least squares-total least squares problem: revisited. - Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang:
Computing the matrix fractional power based on the double exponential formula. - Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung:
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks. - Jindong Gu, Volker Tresp:
Interpretable Graph Capsule Networks for Object Recognition. - Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao:
Federated Learning with Diversified Preference for Humor Recognition. - Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution. - Andrew Silva, Rohit Chopra, Matthew C. Gombolay:
Using Cross-Loss Influence Functions to Explain Deep Network Representations. - Matthew L. Daggitt, Timothy G. Griffin:
Dynamic Asynchronous Iterations. - Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. - Xu Li, Hongxing Rui:
A compact divergence-free H(div)-conforming finite element method for Stokes flows. - Heming Yao, Ryan W. Stidham, Jonathan Gryak, Kayvan Najarian:
Motion-based Camera Localization System in Colonoscopy Videos. - Sara Ahmadian, Shahrzad Haddadan:
The Wedge Picking Model: A dynamic graph model based on triadic closure. - Mohit Sharma, Oliver Kroemer:
Relational Learning for Skill Preconditions. - Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh:
FairBatch: Batch Selection for Model Fairness. - Wei Kang, Qi Gong:
Neural Network Approximations of Compositional Functions With Applications to Dynamical Systems. - Ryan Feng, Wu-chi Feng, Atul Prakash:
Essential Features: Reducing the Attack Surface of Adversarial Perturbations with Robust Content-Aware Image Preprocessing. - Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning with Noisy Labels. - Han Qiu, Yi Zeng, Tianwei Zhang, Yong Jiang, Meikang Qiu:
FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques. - Zhengyuan Liu, Ke Shi, Nancy F. Chen:
Multilingual Neural RST Discourse Parsing. - Kush Bhatia, Karthik Sridharan:
Online learning with dynamics: A minimax perspective. - Sadaf Salehkalaibar, Mohammad Hossein Yassaee, Vincent Y. F. Tan, Mehrasa Ahmadipour:
State Masking Over a Two-State Compound Channel. - Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu:
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Najam Nazar, Aldeida Aleti:
Feature-Based Software Design Pattern Detection. - Elham J. Barezi, Iacer Calixto, Kyunghyun Cho, Pascale Fung:
A Study on the Autoregressive and non-Autoregressive Multi-label Learning. - David B. Lindell, Julien N. P. Martel, Gordon Wetzstein:
AutoInt: Automatic Integration for Fast Neural Volume Rendering. - Qingyi Si, Yuanxin Liu, Peng Fu, Jiangnan Li, Zheng Lin, Weiping Wang:
Learning Disentangled Intent Representations for Zero-shot Intent Detection. - Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen:
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection. - Li Zhang, Xinyue Chen, Zihao Zhou, Cheng-Xiang Wang, Chun Pan, Yungui Wang:
A Novel 3D Non-Stationary Multi-Frequency Multi-Link Wideband MIMO Channel Model. - Jaime Maldonado, Christoph Zetzsche:
Identification of Prototypical Task Executions Based on Smoothness as Basis of Human-to-Robot Kinematic Skill Transfer. - Jialiang Ma, Bin Chen:
Dual Refinement Feature Pyramid Networks for Object Detection. - Jingyu Pan, Chen-Chia Chang, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen:
Automatic Routability Predictor Development Using Neural Architecture Search. - Jingyuan Li, Eli Shlizerman:
Sparse Semi-Supervised Action Recognition with Active Learning. - Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri:
3D-NVS: A 3D Supervision Approach for Next View Selection. - Prithwiraj Bhattacharjee, Avi Mallick, Md. Saiful Islam, Marium-E. Jannat:
Bengali Abstractive News Summarization(BANS): A Neural Attention Approach. - Alexandre Variengien, Xavier Hinaut:
A journey in ESN and LSTM visualisations on a language task. - Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. - Nicolas Bousquet, Louis Esperet, François Pirot:
Distributed algorithms for fractional coloring. - Yu Du, Jiwei Zhang:
Perfectly Matched Layers for nonlocal Helmholtz equations Part II: higher dimensions. - Khaled Saleh:
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks. - Ben Goertzel:
Folding and Unfolding on Metagraphs. - Adil Ahmed Chowdhury, Farida Chowdhury, Md. Sadek Ferdous:
A Study of Password Security Factors among Bangladeshi Government Websites. - Martin Bompaire, Antoine Désir, Benjamin Heymann:
Bidding Through the Lens of Attribution: Pick the Right Labels! - Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch:
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. - Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar:
Digital Landscape of COVID-19 Testing: Challenges and Opportunities. - Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. - Michael Fischer, Konstantin Kobs, Andreas Hotho:
NICER: Aesthetic Image Enhancement with Humans in the Loop. - Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu:
Neural Contextual Bandits with Deep Representation and Shallow Exploration. - Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen:
Attributes Aware Face Generation with Generative Adversarial Networks. - John Cai, Bill Cai, Sheng Mei Shen:
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning. - Zijun Sun, Chun Fan, Qinghong Han, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li:
Self-Explaining Structures Improve NLP Models. - Yanmin Wu, Yunzhou Zhang, Delong Zhu, Xin Chen, Sonya Coleman, Wenkai Sun, Xinggang Hu, Zhiqiang Deng:
Object-Driven Active Mapping for More Accurate Object Pose Estimation and Robotic Grasping. - (Withdrawn) Distributed Thompson Sampling.
- Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser:
FAT: Federated Adversarial Training. - Petros Ioannidis, Lina Eklund, Anders Sundnes Løvlie:
We Dare You: A Lifecycle Study of a Substitutional Reality Installation in a Museum Space. - Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. - Ricards Marcinkevics, Julia E. Vogt:
Interpretability and Explainability: A Machine Learning Zoo Mini-tour. - Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. - Raphael Bialon:
On Root Detection Strategies for Android Devices. - Johanna Johansen, Tore Pedersen, Simone Fischer-Hübner, Christian Johansen, Gerardo Schneider, Arnold Roosendaal, Harald Zwingelberg, Anders Jakob Sivesind, Josef Noll:
Privacy Labelling and the Story of Princess Privacy and the Seven Helpers. - Jialun Cao, Meiziniu Li, Yeting Li, Ming Wen, Shing-Chi Cheung:
SemMT: A Semantic-based Testing Approach for Machine Translation Systems. - Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun:
Iterative Oversampling Technique for Constraint Energy Minimizing Generalized Multiscale Finite Element Method in the Mixed Formulation. - Xiuli Bi, Yanbin Liu, Bin Xiao, Weisheng Li, Chi-Man Pun, Guoyin Wang, Xinbo Gao:
D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization. - Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. - Weijia Yao, Héctor García de Marina, Bohuan Lin, Ming Cao:
Singularity-free Guiding Vector Field for Robot Navigation. - Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. - Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto:
Image inpainting using frequency domain priors. - Haohan Guo, Heng Lu, Na Hu, Chunlei Zhang, Shan Yang, Lei Xie, Dan Su, Dong Yu:
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training. - Jean-Roch Vlimant, Junqi Yin:
Distributed Training and Optimization Of Neural Networks. - Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran:
Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach. - Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. - Linh Anh Nguyen:
Computing Crisp Simulations and Crisp Directed Simulations for Fuzzy Graph-Based Structures. - Filippo Bonchi, Fabio Gadducci, Aleks Kissinger, Pawel Sobocinski, Fabio Zanasi:
String Diagram Rewrite Theory I: Rewriting with Frobenius Structure. - Ross Drummond, Stephen R. Duncan:
Structural Identifiability of a Pseudo-2D Li-ion Battery Electrochemical Model. - John Lloyd, Nathan F. Lepora:
Goal-Driven Robotic Pushing Using Tactile and Proprioceptive Feedback. - Tim Meinhardt, Laura Leal-Taixé:
Make One-Shot Video Object Segmentation Efficient Again. - Toni Schneidereit, Michael Breuß:
Computational characteristics of feedforward neural networks for solving a stiff differential equation. - Ciara Frances Loughrey, Nick Orr, Anna Jurek-Loughrey, Pawel Dlotko:
Hotspot identification for Mapper graphs. - Weiming Liu, Bin Li, Julian Togelius:
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning. - Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai:
Towards Repairing Neural Networks Correctly. - Ashish Shrivastava, Kaustubh D. Dhole, Abhinav Bhatt, Sharvani Raghunath:
Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries. - Robert Paluch, Lukasz G. Gajewski, Janusz A. Holyst, Boleslaw K. Szymanski:
Optimizing sensors placement in complex networks for localization of hidden signal source: A review. - Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi:
Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Weisen Wang, Xirong Li, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Dayong Ding, Youxin Chen:
Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization. - Arnab Maiti, Palash Dey:
On Parameterized Complexity of Binary Networked Public Goods Game. - Uri Meir:
Comparison Graphs: a Unified Method for Uniformity Testing. - Louis Abraham:
Competition analysis on the over-the-counter credit default swap market. - Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou:
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. - Weicong Chen, Xi Yang, Shi Jin, Pingping Xu:
Sparse Array of Sub-surface Aided Anti-blockage mmWave Communication Systems. - Paola F. Antonietti, Lorenzo Mascotto, Marco Verani, Stefano Zonca:
Stability analysis of polytopic Discontinuous Galerkin approximations of the Stokes problem with applications to fluid-structure interaction problems. - Giuseppe Ughi, Vinayak Abrol, Jared Tanner:
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. - Djoanna Marie V. Salac:
PRESENT: An Android-Based Class Attendance Monitoring System Using Face Recognition Technology. - Sabah Al-Fedaghi:
Exploration in Algorithm Engineering: Modeling Algorithms. - Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé:
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. - Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich:
Transfer Learning as an Enabler of the Intelligent Digital Twin. - Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. - Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. - Diego Calvanese, Avigdor Gal, Davide Lanti, Marco Montali, Alessandro Mosca, Roee Shraga:
Mapping Patterns for Virtual Knowledge Graphs. - Haijin Zeng, Sheng Liu, Jifeng Ning:
Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion. - Ramón I. Verdés Kairuz, Yury Orlov, Luis T. Aguilar:
Convergence time estimate and tuning of twisting algorithm. - Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor, Kartic Subr:
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. - Madhurananda Pahar, Marisa Klopper, Robin Warren, Thomas Niesler:
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings. - Gersende Fort, Eric Moulines, Hoi-To Wai:
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. - Raghav Awasthi, Prachi Patel, Vineet Joshi, Shama Karkal, Tavpritesh Sethi:
Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India. - Henry D. Chacon, Paul Rad:
Effect of backdoor attacks over the complexity of the latent space distribution. - Vladimir Balayan, Pedro Saleiro, Catarina G. Belém, Ludwig Krippahl, Pedro Bizarro:
Teaching the Machine to Explain Itself using Domain Knowledge. - Bojing Feng, Haonan Xu, Wenfang Xue, Bindang Xue:
Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph Neural Networks. - Zohreh Raziei, Mohsen Moghaddam:
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer. - Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks. - Oleg Kariuk, Dima Karamshuk:
CUT: Controllable Unsupervised Text Simplification. - Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare:
Quasi-Newton's method in the class gradient defined high-curvature subspace. - Thomas Dalton, Mauritius Schmidtler, Alireza Hadj Khodabakhshi:
Classifying Malware Using Function Representations in a Static Call Graph. - Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge:
Locally Linear Attributes of ReLU Neural Networks. - Adam Hare, Yu Chen, Yinan Liu, Zhenming Liu, Christopher G. Brinton:
On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search. - Fuqi Song, Éric de la Clergerie:
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts. - Mikolaj Malkinski, Jacek Mandziuk:
Multi-Label Contrastive Learning for Abstract Visual Reasoning. - Xuliang Zhu, Xin Huang, Byron Choi, Jiaxin Jiang, Zhaonian Zou, Jianliang Xu:
Budget Constrained Interactive Search for Multiple Targets. - Marco Squarcina, Mauro Tempesta, Lorenzo Veronese, Stefano Calzavara, Matteo Maffei:
Can I Take Your Subdomain? Exploring Related-Domain Attacks in the Modern Web. - Donald R. Sheehy:
A Sparse Delaunay Filtration. - Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang:
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection. - Carlos Badenes-Olmedo, David Chaves-Fraga, María Poveda-Villalón, Ana Iglesias-Molina, Pablo Calleja, Socorro Bernardos, Patricia Martín-Chozas, Alba Fernández-Izquierdo, Elvira Amador-Domínguez, Paola Espinoza-Arias, Luis Pozo-Gilo, Edna Ruckhaus, Esteban González-Guardia, Raquel Cedazo, Beatriz López-Centeno, Óscar Corcho:
Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications. - Rodolfo Batista Negri, Antônio Fernando Bertachini de Almeida Prado:
A Novel Robust 3-D Path Following Control for Keplerian Orbits. - Lorenzo Stacchio, Alessia Angeli, Giuseppe Lisanti, Daniela Calanca, Gustavo Marfia:
IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century. - Elizabeth Bibit Bianchini, Kenneth Salisbury, Prateek Verma:
Human Tactile Gesture Interpretation for Robotic Systems. - Fabiola Cavaliere, Sergio Zlotnik, Rubén Sevilla, Xabier Larrayoz, Pedro Díez:
Nonintrusive reduced order model for parametric solutions of inertia relief problems. - Vaishali Kansal, Mayank Dave:
Proactive DDoS Attack Mitigation in Cloud-Fog Environment using Moving Target Defense. - Donald R. Sheehy, Siddharth S. Sheth:
Sketching Persistence Diagrams. - Sangpyo Kim, Wonkyung Jung, Jaiyoung Park, Jung Ho Ahn:
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs. - Faisal Bashir Hussain, Syed Ghazanfar Abbas, Muhammad Husnain, Ubaid Ullah Fayyaz, Farrukh Shahzad, Ghalib A. Shah:
IoT DoS and DDoS Attack Detection using ResNet. - Xiaoyu Du, Quan Le, Mark Scanlon:
Automated Artefact Relevancy Determination from Artefact Metadata and Associated Timeline Events. - Yi Liu, Li Zhang, Ning Ge, Guanghao Li:
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective. - Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values. - Silas Nyboe Ørting:
A small note on variation in segmentation annotations. - Leyu Dai, He Zhu, Dianbo Liu:
Patient similarity: methods and applications. - Albert Senen-Cerda, Jaron Sanders:
Asymptotic convergence rate of Dropout on shallow linear neural networks. - Weilu Gao, Cunxi Yu, Ruiyang Chen:
Artificial Intelligence Accelerators based on Graphene Optoelectronic Devices. - Wuming Pan:
Tensor Data Scattering and the Impossibility of Slicing Theorem. - Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Waleed Alasmary:
Detection of False-Reading Attacks in the AMI Net-Metering System. - Xiaoyu Du, Chris Hargreaves, John Sheppard, Felix Anda, Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation. - Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban:
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. - Giulio Ortali, Nicola Demo, Gianluigi Rozza:
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems. - Wen Wu, Nan Chen, Conghao Zhou, Mushu Li, Xuemin Shen, Weihua Zhuang, Xu Li:
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning. - Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. - Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. - Mahbubur Rahman:
A Novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms. - Song Fang, Quanyan Zhu:
Fundamental Stealthiness-Distortion Tradeoffs in Dynamical (Control) Systems under Injection Attacks: A Power Spectral Analysis. - Tomás Pippia, Jesus Lago, Roel De Coninck, Bart De Schutter:
Scenario-based Nonlinear Model Predictive Control for Building Heating Systems. - Yushi Guan:
End to End ASR System with Automatic Punctuation Insertion. - Esther van den Berg, Katja Markert:
Context in Informational Bias Detection. - Yudan Liu, Joycer Osorio, Hamid R. Ossareh:
Decoupled Reference Governors: A Constraint Management Technique for MIMO Systems. - Robert Paluch, Lukasz G. Gajewski, Krzysztof Suchecki, Janusz A. Holyst:
Source location on multilayer networks. - Michael R. Heffels, Joaquin Vanschoren:
Aerial Imagery Pixel-level Segmentation. - Po-Hsu Allen Chen, Amy Leibrand, Jordan Vasko, Mitch Gauthier:
Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example. - Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine:
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. - Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic:
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. - Baohua Sun, Michael Lin, Hao Sha, Lin Yang:
SuperOCR: A Conversion from Optical Character Recognition to Image Captioning. - Lukas Burgholzer, Robert Wille, Richard Kueng:
Characteristics of Reversible Circuits for Error Detection. - Karthikeya Ramesh Kaushik, Andrea E. Martin:
Modelling Compositionality and Structure Dependence in Natural Language. - Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. - Jun Li, Yumeng Shao, Ming Ding, Chuan Ma, Kang Wei, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients. - Meike Nauta, Ron van Bree, Christin Seifert:
Neural Prototype Trees for Interpretable Fine-grained Image Recognition. - Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen:
Full-Resolution Correspondence Learning for Image Translation. - Kendra Albert, Maggie K. Delano, Jonathon Penney, Afsaneh Rigot, Ram Shankar Siva Kumar:
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning. - Zohre Ranjbar-Mojaveri, Andras Farago:
A General Dependency Structure for Random Graphs and Its Effect on Monotone Properties. - Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger:
Intervention Design for Effective Sim2Real Transfer. - Ngan Le, Kashu Yamazaki, Dat T. Truong, Kha Gia Quach, Marios Savvides:
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation. - Jinhuan Duan, Xianxian Li, Shiqi Gao, Jinyan Wang, Zili Zhong:
SSGD: A safe and efficient method of gradient descent. - Rafael March, David Egya, Christine Maier, Andreas Busch, Florian Doster:
Numerical computation of stress-permeability relationships of fracture networks in a shale rock. - Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying:
Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. - Martin Bullinger, Warut Suksompong, Alexandros A. Voudouris:
Welfare Guarantees in Schelling Segregation. - Mohamed Sayed, Robert Cinca, Enrico Costanza, Gabriel J. Brostow:
LookOut! Interactive Camera Gimbal Controller for Filming Long Takes. - Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai:
Towards Part-Based Understanding of RGB-D Scans. - Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. - Benjamin Paassen, Irena Koprinska, Kalina Yacef:
Recursive Tree Grammar Autoencoders. - Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic. - Manuel Francisco, Juan Luis Castro:
Discriminatory Expressions to Produce Interpretable Models in Microblogging Context. - Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille:
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion. - Ritwik Gupta, Eric T. Heim, Edoardo Nemni:
Proceedings of NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response. - Tae Soo Kim, Gregory D. Hager:
SAFCAR: Structured Attention Fusion for Compositional Action Recognition. - Raphael Scheible, Fabian Thomczyk, Patric Tippmann, Victor Jaravine, Martin Boeker:
GottBERT: a pure German Language Model. - Daniel Bauer, Lars Kuhnert, Lutz Eckstein:
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping. - Qi Qi, Pak Hay Kwok:
Traffic4cast 2020 - Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction. - Siyu Dai, Andreas G. Hofmann, Brian C. Williams:
Fast-reactive probabilistic motion planning for high-dimensional robots. - Ainesh Bakshi, Ilias Diakonikolas, He Jia, Daniel M. Kane, Pravesh K. Kothari, Santosh S. Vempala:
Robustly Learning Mixtures of k Arbitrary Gaussians. - Bernie S. Fabito, Arlene O. Trillanes, Jeshnile R. Sarmiento:
Barriers and Challenges of Computing Students in an Online Learning Environment: Insights from One Private University in the Philippines. - Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El Sallab, Senthil Kumar Yogamani:
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline. - Vidya Muthukumar, Soham Phade, Anant Sahai:
On the Impossibility of Convergence of Mixed Strategies with No Regret Learning. - Jing Su, Qingyun Dai, Frank Guerin, Mian Zhou:
BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling. - Zaid Salamah A. Alzaid, Xin Yuan, Saptarshi Bhowmik:
Multi-Path Routing on the Jellyfish Networks. - Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba:
Manifold Learning and Deep Clustering with Local Dictionaries. - Li-Yi Wei, Arjun V. Anand, Shally Kumar, Tarun Beri:
Simple Methods to Represent Shapes with Sample Spheres. - Jonas Sedin, Luca Feltrin, Xingqin Lin:
Throughput and Capacity Evaluation of 5G New Radio Non-Terrestrial Networks with LEO Satellites. - Wen Xiao, Patrick Huber, Giuseppe Carenini:
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! - Hesam Hamledari, Martin Fischer:
The Application of Blockchain-Based Crypto Assets for Integrating the Physical and Financial Supply Chains in the Construction & Engineering Industry. - Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo:
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. - Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
Approximate kNN Classification for Biomedical Data. - Siddhant Doshi, Sundeep Prabhakar Chepuri:
Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing. - Stephanie C. Ross, Johanna L. Mathieu:
Strategies for Network-Safe Load Control with a Third-Party Aggregator and a Distribution Operator. - Kartik Singhal:
Quantum Hoare Type Theory. - Dokhyam Hoshen:
MakeupBag: Disentangling Makeup Extraction and Application. - Mehdi Noroozi:
Self-labeled Conditional GANs. - Mirela Silva, Fabrício Ceschin, Prakash Shrestha, Christopher Brant, Juliana Fernandes, Catia S. Silva, André Grégio, Daniela Oliveira, Luiz Giovanini:
Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak. - Hanjia Lyu, Junda Wang, Wei Wu, Viet Duong, Xiyang Zhang, Jiebo Luo:
Social Media Study of Public Opinions on Potential COVID-19 Vaccines: Informing Dissent, Disparities, and Dissemination. - Shir Gur, Ameen Ali, Lior Wolf:
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. - Panayiotis Panos Moutis, Omid Alizadeh Mousavi:
A Review of Phasor Measurement Unit Requirements and Monitoring Architecture Practices for State Estimation at Distribution Systems. - Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun:
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment. - Tapomayukh Bhattacharjee, Henry M. Clever, Joshua Wade, Charles C. Kemp:
Material Recognition via Heat Transfer Given Ambiguous Initial Conditions. - Arda Düzçeker, Silvano Galliani, Christoph Vogel, Pablo Speciale, Mihai Dusmanu, Marc Pollefeys:
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion. - George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Verifiable Planning in Expected Reward Multichain MDPs. - Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. - Bao Wang, Qiang Ye:
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum. - Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng:
Learned Initializations for Optimizing Coordinate-Based Neural Representations. - Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa:
pixelNeRF: Neural Radiance Fields from One or Few Images. - Zhaoheng Ni, Félix Grèzes, Viet Anh Trinh, Michael I. Mandel:
Improved MVDR Beamforming Using LSTM Speech Models to Clean Spatial Clustering Masks. - Andrea Corradini, Maryam Ghaffari Saadat, Reiko Heckel:
Encoding Incremental NACs in Safe Graph Grammars using Complementation. 88-107 - Brian Courtehoute, Detlef Plump:
A Fast Graph Program for Computing Minimum Spanning Trees. 163-180 - Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Methods of ranking for aggregated fuzzy numbers from interval-valued data. - Martin Müller, Marcel Salathé:
Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic. - Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang:
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans. - Yuval Filmus, Or Meir, Avishay Tal:
Shrinkage under Random Projections, and Cubic Formula Lower Bounds for AC0. - Sujoy Bhore, Csaba D. Tóth:
Light Euclidean Steiner Spanners in the Plane. - Md. Saif Hassan Onim, Muhaiminul Islam Akash, Mahmudul Haque, Raiyan Ibne Hafiz:
Traffic Surveillance using Vehicle License Plate Detection and Recognition in Bangladesh. - Trevor Londt, Xiaoying Gao, Bing Xue, Peter Andreae:
Evolving Character-level Convolutional Neural Networks for Text Classification. - Funda Durupinar:
Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks. - Niv Buchbinder, Christian Coester, Joseph Naor:
Online k-Taxi via Double Coverage and Time-Reverse Primal-Dual. - Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. - Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani:
Graph Convolutional Neural Networks for Body Force Prediction. - Mark Philip M. Sy, Christian James M. Historillo, Allen Cris T. Conde, Ma. Yvonne Czarina R. Costelo:
Query Game 2.0: Improvement of a Web-Based Query Game for Cavite State University Main Campus. - Alexander Maletzky:
A Generic and Executable Formalization of Signature-Based Gröbner Basis Algorithms. - Mina Zaminkar, Fatemeh Sarkohaki, Reza Fotohi:
A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem. - Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein:
Average-Case Integrality Gap for Non-Negative Principal Component Analysis. - Stephan Haarmann, Marco Montali, Mathias Weske:
Technical Report: Refining Case Models Using Cardinality Constraints. - Martin Stano, Wanda Benesova, Lukas Samuel Martak:
Explaining Predictions of Deep Neural Classifier via Activation Analysis. - Faisal Nawab:
WedgeChain: A Trusted Edge-Cloud Store With Asynchronous (Lazy) Trust. - Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? - Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam:
Domain Adaptation of Semantic Segmentation for Aerial Images. - Sachin Maheshwari, Spyros Stathopoulos, Jiaqi Wang, Alexander Serb, Yihan Pan, Lieuwe B. Leene, Christos Papavassiliou, Timothy G. Constandinou, Themistoklis Prodromakis:
Hybrid CMOS/Memristor Circuit Design Methodology. - Florence Tsang, Tristan Walker, Ryan A. MacDonald, Armin Sadeghi, Stephen L. Smith:
LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment. - Karan Sikka, Indranil Sur, Susmit Jha, Anirban Roy, Ajay Divakaran:
Detecting Trojaned DNNs Using Counterfactual Attributions. - Klas Pettersson, Andrey Karzhou, Irina Pettersson:
A feedforward neural network for modelling of average pressure frequency response. - Maxime Amram, Jack Dunn, Ying Daisy Zhuo:
Optimal Policy Trees. - Fabian Klute, Irene Parada:
Saturated k-Plane Drawings with Few Edges. - Johannes Schneider, Marcus Basalla:
Creativity of Deep Learning: Conceptualization and Assessment. - Panayiotis Moutis, Omid Alizadeh Mousavi:
A Practical Proposal for State Estimation at Balanced, Radial Distribution Systems. - Panayiotis Moutis, Omid Alizadeh Mousavi:
Digital Twin of Distribution Power Transformer for Real-Time Monitoring of Medium Voltage from Low Voltage Measurements. - Allen Schmaltz, Andrew Beam:
Coarse-to-Fine Memory Matching for Joint Retrieval and Classification. - Anubha Kabra, Anu Agarwal, Anil Singh Parihar:
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations. - Yao Wu, Jian Cao, Guandong Xu:
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint. - Farah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt:
Accelerating Text Mining Using Domain-Specific Stop Word Lists. - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Adversarial Counterfactual Learning and Evaluation for Recommender System. - Francisco McGee, Quentin Novinger, Ronald M. Levy, Vincenzo Carnevale, Allan Haldane:
Generative Capacity of Probabilistic Protein Sequence Models. - Evgeny Krivosheev, Burcu Sayin, Alessandro Bozzon, Zoltán Szlávik:
Active Learning from Crowd in Document Screening. - Chao Du, Yifan Zeng, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Xiaoqiang Zhu, Jian Xu, Kun Gai:
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz:
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning. - Gaurav Bhardwaj, Utkarsh A. Mishra, N. Sukavanam, R. Balasubramanian:
Planning Brachistochrone Hip Trajectory for a Toe-Foot Bipedal Robot going Downstairs. - Juan Sosa, Lina Buitrago:
A Review of Latent Space Models for Social Networks. - Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G. Seneviratne, Alan Karthikesalingam, Jessica Schrouff:
Concept-based model explanations for Electronic Health Records. - Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen:
BoxInst: High-Performance Instance Segmentation with Box Annotations. - Charles Patrick Martin, Zeruo Liu, Yichen Wang, Wennan He, Henry Gardner:
Sonic Sculpture: Activating Engagement with Head-Mounted Augmented Reality. - Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
ReMix: Calibrated Resampling for Class Imbalance in Deep learning. - Rohan Proctor, Charles Patrick Martin:
A Laptop Ensemble Performance System using Recurrent Neural Networks. - Simon J. D. Cox, Alejandra N. González-Beltrán, Barbara Magagna, Maria-Cristina V. Marinescu:
Ten Simple Rules for making a vocabulary FAIR. - Trevor Londt, Xiaoying Gao, Peter Andreae:
Evolving Character-Level DenseNet Architectures using Genetic Programming. - Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Michael Buch, Cindy Trinh, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika:
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. - Mihaela Dimovska, Donatello Materassi:
Granger-faithfulness and link orientation in network reconstruction. - Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. - Sourav Chakraborty, Nikhil S. Mande, Rajat Mittal, Tulasimohan Molli, Manaswi Paraashar, Swagato Sanyal:
Tight Chang's-lemma-type bounds for Boolean functions. - Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould:
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. - Edwin G. Ng, Bo Pang, Piyush Sharma, Radu Soricut:
Understanding Guided Image Captioning Performance across Domains. - Aniket Shirsat, Spring Berman:
Decentralized Multi-target Tracking with Multiple Quadrotors using a PHD Filter. - Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. - Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh:
Perceptual error optimization for Monte Carlo rendering. - Takumi Kimura, Takashi Matsubara, Kuniaki Uehara:
ChartPointFlow for Topology-Aware 3D Point Cloud Generation. - Erin Wolf Chambers, Francis Lazarus, Arnaud de Mesmay, Salman Parsa:
Algorithms for Contractibility of Compressed Curves on 3-Manifold Boundaries. - Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang:
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. - Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Self-Supervised VQA: Answering Visual Questions using Images and Captions. - Terrance Liu, Paul Pu Liang, Michal Muszynski, Ryo Ishii, David Brent, Randy Auerbach, Nicholas B. Allen, Louis-Philippe Morency:
Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study. - Jing Qin:
Research Progress of News Recommendation Methods. - Jianer Chen, Qin Huang, Iyad Kanj, Ge Xia:
Near-Optimal Algorithms for Point-Line Covering Problems. - Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Learning for Medical Anomaly Detection - A Survey. - Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen:
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation. - Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs:
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. - Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu:
Birdspotter: A Tool for Analyzing and Labeling Twitter Users. - Songhai Zhang, Xiangli Li, Yingtian Liu, Hongbo Fu:
Scale-aware Insertion of Virtual Objects in Monocular Videos. - Haoan Wang, Levent Güvenç:
Multi-Objective Digital PID Controller Design in Parameter Space. - Shivangi Yadav, Arun Ross:
CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection. - Leilei Cao, Tong Yang, Yixu Wang, Bo Yan, Yandong Guo:
Generator Pyramid for High-Resolution Image Inpainting. - Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu:
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images. - Yunhan Huang, Quanyan Zhu:
Cross-Layer Coordinated Attacks on Cyber-Physical Systems: A LQG Game Framework with Controlled Observations. - Saugata Purkayastha, Sukannya Purkayastha:
A Variant of Gradient Descent Algorithm Based on Gradient Averaging. - Niall Bootland, Victorita Dolean, Frédéric Nataf, Pierre-Henri Tournier:
Two-level DDM preconditioners for positive Maxwell equations. - Tao Li, Ling Pei, Yan Xiang, Qi Wu, Songpengcheng Xia, Lihao Tao, Wenxian Yu:
P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment. - Charles Patrick Martin, Alexander Refsum Jensenius, Jim Tørresen:
Composing an Ensemble Standstill Work for Myo and Bela. - Houwang Tu, Yongxian Wang, Xian Ma, Xunjiang Zhu:
A Chebyshev-Tau spectral method for solving the parabolic equation model of wide-angle rational approximation in ocean acoustics. - Parshwa Shah, Arpit Garg, Vandit Gajjar:
PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description. - Philipp Scharpf, Moritz Schubotz, André Greiner-Petter, Malte Ostendorff, Olaf Teschke, Bela Gipp:
ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open? - Takeshi Teshima, Koichi Tojo, Masahiro Ikeda, Isao Ishikawa, Kenta Oono:
Universal Approximation Property of Neural Ordinary Differential Equations. - Anh Nguyen, Quang D. Tran:
Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System. - Keiran Paster, Sheila A. McIlraith, Jimmy Ba:
Planning from Pixels using Inverse Dynamics Models. - Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma:
A Benchmark Dataset for Understandable Medical Language Translation. - Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Constrained Risk-Averse Markov Decision Processes. - Junwei Liang, Liangliang Cao, Xuehan Xiong, Ting Yu, Alexander G. Hauptmann:
Spatial-Temporal Alignment Network for Action Recognition and Detection. - Tatsuki Fushimi, Kenta Yamamoto, Yoichi Ochiai:
Acoustic Hologram Optimisation Using Automatic Differentiation. - Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. - Wangshu Zhu, Andre Rosendo:
Proximal Policy Optimization Smoothed Algorithm. - (Withdrawn) Preconditioned MHSS iterative algorithm and its accelerated method for solving complex Sylvester matrix equations.
- Yiou Lin, Hang Lei, Yu Deng:
Spread Mechanism and Influence Measurement of Online Rumors during COVID-19 Epidemic in China. - Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig:
Mitigating Bias in Federated Learning. - Haoyu Chu, Shikui Wei, Yao Zhao:
Towards Natural Robustness Against Adversarial Examples. - B. Samhita Varambally, Naman Sehgal:
Optimising Design Verification Using Machine Learning: An Open Source Solution. - Jérôme Darmont, Cécile Favre, Sabine Loudcher, Camille Noûs:
Data Lakes for Digital Humanities. - Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma:
Non-Asymptotic Analysis of Excess Risk via Empirical Risk Landscape. - Hamidreza Hashempour, Kiyanoush Nazari, Fangxun Zhong, Amir Ghalamzan E:
A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations. - Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai:
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders. - Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu:
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning. - Cen Liu, Chang Tian, Peixi Liu:
Reconfigurable Intelligent Surface Aided Secure Transmission Exploiting Statistical CSI of Eavesdropper. - Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad Ouzzani:
Relational Pretrained Transformers towards Democratizing Data Preparation [Vision]. - Chanh Duc Ngo, Fabrizio Pastore, Lionel C. Briand:
Automated, Cost-effective, and Update-driven App Testing. - Hengrong Lan, Changchun Yang, Feng Gao, Fei Gao:
Better Than Ground-truth? Beyond Supervised Learning for Photoacoustic Imaging Reconstruction. - Rabayet Sadnan, Anamika Dubey:
Distributed Optimization using Reduced Network Equivalents for Radial Power Distribution Systems. - Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu:
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation. - Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel:
Is It a Plausible Colour? UCapsNet for Image Colourisation. - Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans:
A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection. - Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu:
Unsupervised Adversarially-Robust Representation Learning on Graphs. - Junlin Yu, Man Hon Cheung, Jianwei Huang:
Economics of Mobile Data Trading Market. - Vincent Lafage:
Revisiting "What Every Computer Scientist Should Know About Floating-point Arithmetic". - Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su:
Compositionally Generalizable 3D Structure Prediction. - Sahil Gangurde, Krishnakant Tiwari:
LSB Steganography Using Pixel Locator Sequence with AES. - Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. - Seung-Yeon Cho, Sebastiano Boscarino, Maria Groppi, Giovanni Russo:
Conservative semi-Lagrangian schemes for a general consistent BGK model for inert gas mixtures. - Dominique Mariko, Estelle Labidurie, Yagmur Ozturk, Hanna Abi Akl, Hugues de Mazancourt:
Data Processing and Annotation Schemes for FinCausal Shared Task. - Marco Boschi, Luigi Di Stefano, Martino Alessandrini:
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. - Nathan F. Lepora, John Lloyd:
Pose-Based Servo Control with Soft Tactile Sensing. - Dominique Mariko, Hanna Abi Akl, Estelle Labidurie, Stéphane Durfort, Hugues de Mazancourt, Mahmoud El-Haj:
Financial Document Causality Detection Shared Task (FinCausal 2020). - Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-level Relation Extraction. - Behzad Shahrasbi, Venugopal Mani, Apoorv Reddy Arrabothu, Deepthi Sharma, Kannan Achan, Sushant Kumar:
On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs. - Valeria Ageeva, Aleksey Novokhrestov, Maria Kholodova:
Threats to the information system in the physical environment and cyberspace. - Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva:
ID-Reveal: Identity-aware DeepFake Video Detection. - Mohit Raghavendra, Pravan Omprakash, B. R. Mukesh, Sowmya Kamath:
AuthNet: A Deep Learning based Authentication Mechanism using Temporal Facial Feature Movements. - Patrick Esser, Robin Rombach, Björn Ommer:
A Note on Data Biases in Generative Models. - Manuel Radons, Siegfried M. Rump:
Convergence results for some piecewise linear solvers. - Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. - Sami Akin, Maxim Penner, Jürgen Peissig:
Joint Channel Estimation and Data Decoding using SVM-based Receivers. - Qizhang Li, Yiwen Guo, Hao Chen:
Practical No-box Adversarial Attacks against DNNs. - Alex Hernández-García:
Rethinking supervised learning: insights from biological learning and from calling it by its name. - Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments. - Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - Alper Ahmetoglu, M. Yunus Seker, Aysu Sayin, Serkan Bugur, Justus H. Piater, Erhan Öztop, Emre Ugur:
DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning. - Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou:
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation. - Potsawee Manakul, Mark J. F. Gales:
CUED_speech at TREC 2020 Podcast Summarisation Track. - Basilis Mamalis, Marios Perlitis:
Energy Balanced Two-level Clustering for Large-Scale Wireless Sensor Networks based on the Gravitational Search Algorithm. - Gautham Krishna Gudur, Satheesh K. Perepu:
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring. - Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations. - José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Boosting offline handwritten text recognition in historical documents with few labeled lines. - Ricardo J. Jesus, Mário Luis Pinto Antunes, Rui Américo Ferreira da Costa, Sergey N. Dorogovtsev, José Fernando Ferreira Mendes, Rui L. Aguiar:
Effect of the initial configuration of weights on the training and function of artificial neural networks. - Rajko Nenadov, Angelika Steger, Pascal Su:
An O(n) time algorithm for finding Hamilton cycles with high probability. - Qi Jia, Hongru Huang, Kenny Q. Zhu:
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues. - Claudio Canella, Mario Werner, Daniel Gruss, Michael Schwarz:
Automating Seccomp Filter Generation for Linux Applications. - V. D. Viellieber, Matthias Aßenmacher:
Pre-trained language models as knowledge bases for Automotive Complaint Analysis. - Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner:
Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability. - C. Graves:
Assessing the usability of the mobile application game Call of Duty. - Sebastian Stefan Feger:
Interactive Tools for Reproducible Science - Understanding, Supporting, and Motivating Reproducible Science Practices. - Babis Magoutas, Gregoris Mentzas:
Adaptivity and Personalization Application Scenarios in eParticipation. - Fabian Faust, Aurélien Thierry, Tilo Müller, Felix C. Freiling:
Technical Report: Selective Imaging of File System Data on Live Systems. - Abu Mohammed Raisuddin, Elias Vaattovaara, Mika Nevalainen, Marko Nikki, Elina Järvenpää, Kaisa Makkonen, Pekka Pinola, Tuula Palsio, Arttu Niemensivu, Osmo Tervonen, Aleksei Tiulpin:
Deep Learning for Wrist Fracture Detection: Are We There Yet? - Khalid Al-Najjar, Mika Hämäläinen, Jack Rueter, Niko Partanen:
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement. - Chiman Kwan, Bence Budavari:
A high performance approach to detecting small targets in long range low quality infrared videos. - Peter Jachim, Filipo Sharevski, Paige Treebridge:
TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic. - Ryan Krueger, Jesse Michael Han, Daniel Selsam:
Automatically Building Diagrams for Olympiad Geometry Problems. - Nadisha-Marie Aliman, Leon Kester, Roman Yampolskiy:
Transdisciplinary AI Observatory - Retrospective Analyses and Future-Oriented Contradistinctions. - Siamak Tafazoli:
On Attitude Recovery of Spacecraft using Nonlinear Control. - Barun Patra, Chala Fufa, Pamela Bhattacharya, Charles Lee:
To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints. - Divyansh Agarwal, Yuta Baba, Pratik Sachdeva, Tanya Tandon, Thomas Vetterli, Aziz Alghunaim:
Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers. - Alex J. Deakyne, Erik N. Gaasedelen, Tinen L. Iles, Paul A. Iaizzo:
Immersive Anatomical Scenes that Enable Multiple Users to Occupy the Same Virtual Space: A Tool for Surgical Planning and Education. - Jingwei Xu, Jianjin Zhang, Zhiyu Yao, Yunbo Wang:
Towards Good Practices of U-Net for Traffic Forecasting. - Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal Farooq:
Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada. - Chetprayoon Panumate, Fumihiko Takahashi, Yusuke Uchida:
Prediction of Lane Number Using Results From Lane Detection. - Peter Jachim, Filipo Sharevski, Emma Pieroni:
TrollHunter2020: Real-Time Detection of Trolling Narratives on Twitter During the 2020 US Elections. - Krister Lindén, Tommi Jauhiainen, Sam Hardwick:
FinnSentiment - A Finnish Social Media Corpus for Sentiment Polarity Annotation. - Babis Magoutas, Dimitris Apostolou, Gregoris Mentzas:
An Event-Driven Framework for Business Awareness Management. - Christian Bessiere, Mohamed-Bachir Belaid, Nadjib Lazaar:
Computational Complexity of Three Central Problems in Itemset Mining. - Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Application of deep learning to large scale riverine flow velocity estimation. - Zhiyong Huang, Kekai Sheng, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Dengwen Zhou, Changsheng Xu:
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation. - Hong Xiong:
Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R. - Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne:
Advocating for Multiple Defense Strategies against Adversarial Examples. - Jiawei Song, Zongyu Zuo, Michael V. Basin:
New Class K_infinity Function-Based Adaptive Sliding Mode Control Design. - Zachary J. Lee, George Lee, Ted Lee, Cheng Jin, Rand Lee, Zhi Low, Daniel Chang, Christine Ortega, Steven H. Low:
Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging. - Wenchao Zhang, Chong Fu, Haoyu Xie, Mai Zhu, Ming Tie, Junxin Chen:
Global Context Aware RCNN for Object Detection. - Edward Fish, Andrew Gilbert, Jon Weinbren:
Rethinking movie genre classification with fine-grained semantic clustering. - Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab:
A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering. - Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones:
Predicting Emotions Perceived from Sounds. - Soumik Sarker, Arnob Kumar Saha, Md. Sadek Ferdous:
A Survey on Blockchain & Cloud Integration. - Daniel Strüber:
Supporting Round-Trip Data Migration for Web APIs: A Henshin Solution. - Songyang Zhang, Houwen Peng, Jianlong Fu, Yijuan Lu, Jiebo Luo:
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language. - Taylor Mordan, Matthieu Cord, Patrick Pérez, Alexandre Alahi:
Detecting 32 Pedestrian Attributes for Autonomous Vehicles. - Bin Li, Xiao Yang, Daren Sun, Zhi Ji, Zhen Jiang, Cong Han, Dong Hao:
Incentive Mechanism Design for ROI-constrained Auto-bidding. - Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Margin of Victory in Tournaments: Structural and Experimental Results. - Shriraj P. Sawant, Shruti Singh:
Understanding Attention: In Minds and Machines. - Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. - Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi:
Unleashing the Tiger: Inference Attacks on Split Learning. - Adrian Hutter:
Learning in two-player games between transparent opponents. - Ji Eun Kim, Cory A. Henson, Kevin Huang, Tuan A. Tran, Wan-Yi Lin:
Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning. - Ranwa Al Mallah, Talal Halabi, Bilal Farooq:
A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems. - Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming. - Niall Bootland, Victorita Dolean, Pierre Jolivet, Pierre-Henri Tournier:
A comparison of coarse spaces for Helmholtz problems in the high frequency regime. - Amine Mezghani, Faouzi Bellili, Robert W. Heath Jr.:
Massive MIMO with Dense Arrays and 1-bit Data Converters. - Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. - Arnout Devos, Yatin Dandi:
Model-Agnostic Learning to Meta-Learn. - Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. - Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard:
Isometric Multi-Shape Matching. - Ramtin Zand:
A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses. - Carlos Cateriano Yáñez, Gerwald Lichtenberg, Georg Pangalos, Javier Sanchis Sáez:
An Approach to State Signal Shaping by Limit Cycle Model Predictive Control. - Simeon Kublenz, Sebastian Siebertz, Alexandre Vigny:
Distributed domination on graph classes with bounded expansion. - Abhijith Ragav, Gautham Krishna Gudur:
Bayesian Active Learning for Wearable Stress and Affect Detection. - Mário S. Alvim, Bernardo Amorim, Sophia Knight, Santiago Quintero, Frank Valencia:
Polarization and Belief Convergence of Agents in Strongly-Connected Influence Graphs. - Kaiyu Zheng, Deniz Bayazit, Rebecca Mathew, Ellie Pavlick, Stefanie Tellex:
Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments. - Nicolas Wagner, Anirban Mukhopadhyay:
Super-Selfish: Self-Supervised Learning on Images with PyTorch. - Harald Garcke, Robert Nürnberg:
Numerical approximation of boundary value problems for curvature flow and elastic flow in Riemannian manifolds. - Conrad Indiono, Stefanie Rinderle-Ma:
Hiperfact: In-Memory High Performance Fact Processing - Rethinking the Rete Inference Algorithm. - Leila Delshadtehrani, Sadullah Canakci, Manuel Egele, Ajay Joshi:
Efficient Sealable Protection Keys for RISC-V. - Amith Ananthram, Emily Allaway, Kathleen R. McKeown:
Event Guided Denoising for Multilingual Relation Learning. - Jukka Ruohonen:
The Treachery of Images in the Digital Sovereignty Debate. - Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun:
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. - Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Hongkai Xiong, Qi Tian:
Hierarchical Semantic Aggregation for Contrastive Representation Learning. - Vincent Leroy, Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Grégory Rogez:
SMPLy Benchmarking 3D Human Pose Estimation in the Wild. - Daniel De Almeida Braga, Pierre-Alain Fouque, Mohamed Sabt:
Dragonblood is Still Leaking: Practical Cache-based Side-Channel in the Wild. - Jonathan Dinu, Jeffrey P. Bigham, J. Zico Kolter:
Challenging common interpretability assumptions in feature attribution explanations. - Calden Wloka, John K. Tsotsos:
An Empirical Method to Quantify the Peripheral Performance Degradation in Deep Networks. - Sang Hwan Son, Jong Woo Kim, Tae Hoon Oh, Jong Min Lee:
Model-plant mismatch learning offset-free model predictive control. - Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Based Games with Common Sense. - Julia Schleuß, Kathrin Smetana:
Optimal local approximation spaces for parabolic problems. - Boya Yu, Konstantine Arkoudas, Wael Hamza:
Delexicalized Paraphrase Generation. - Carlos Esteves:
Learning Equivariant Representations. - Parth Natekar, Manik Sharma:
Representation Based Complexity Measures for Predicting Generalization in Deep Learning. - Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen:
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. - Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman:
Few-shot Image Generation with Elastic Weight Consolidation. - Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li:
Batch Group Normalization. - Dakota S. Murray, Jisung Yoon, Sadamori Kojaku, Rodrigo Costas, Woo-Sung Jung, Stasa Milojevic, Yong-Yeol Ahn:
Unsupervised embedding of trajectories captures the latent structure of mobility. - Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak:
Neural Dynamic Policies for End-to-End Sensorimotor Learning. - Jeremy Blackstone, Wei Hu, Alric Althoff, Armaiti Ardeshiricham, Lu Zhang, Ryan Kastner:
A Unified Model for Gate Level Propagation Analysis. - Pooneh Safayenikoo, Ismail Akturk:
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks. - Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo, Christina Fragouli, Suhas N. Diggavi:
Group testing for overlapping communities. - Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Adaptive Explicit Kernel Minkowski Weighted K-means. - Zachary J. Lee, Sunash Sharma, Daniel Johansson, Steven H. Low:
ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research. - Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. - Paul Pu Liang, Peter Wu, Ziyin Liu, Louis-Philippe Morency, Ruslan Salakhutdinov:
Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment. - Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification. - Arun D. Prabhu, Nikhil Arora, Shubham Vatsal, Gopi Ramena, Sukumar Moharana, Naresh Purre:
On-Device Sentence Similarity for SMS Dataset. - Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs. - Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo:
Deep Learning for Human Mobility: a Survey on Data and Models. - Mariam Al-Maskari, Samir Karaa:
Numerical solution of a time-fractional nonlinear Rayleigh-Stokes problem. - Alaa Eldin Abdelaal, Nancy Hong, Apeksha Avinash, Divya Budihal, Maram Sakr, Gregory D. Hager, Septimiu E. Salcudean:
Orientation Matters: 6-DoF Autonomous Camera Movement for Minimally Invasive Surgery. - Maryam Adineh, Mostafa Nouri Baygi:
Maximizing the Influence: Analytic Activation Probability Computation Approach. - Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio, Sandip Sinha:
Polynomial-time trace reconstruction in the low deletion rate regime. - Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin:
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment. - Christiana Chamon, Shahriar Ferdous, Laszlo B. Kish:
Deterministic Random Number Generator Attack against the Kirchhoff-Law-Johnson-Noise Secure Key Exchange Protocol. - Sebastián Morales, Charles Thraves:
On the Resource Allocation for Political Campaigns. - Sang Hwan Son, Se-Kyu Oh, Byung Jun Park, Min Jun Song, Jong Min Lee:
Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay. - Reza Behrou, Reza Lotfi, Josephine Voigt Carstensen, Federico Ferrari, James K. Guest:
Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection. - Seham Muawadh Ali Ebrahim:
Hybrid Chaotic Method for Medical Images Ciphering. - Corbin Klett, Matthew Abate, Samuel Coogan, Eric Feron:
A Numerical Method to Compute Stability Margins of Switching Linear Systems. - Shangmin Guo, Yi Ren, Agnieszka Slowik, Kory W. Mathewson:
Inductive Bias and Language Expressivity in Emergent Communication. - Daniel Vial, Sanjay Shakkottai, R. Srikant:
One-bit feedback is sufficient for upper confidence bound policies. - Abhishek Singh, Ramesh Raskar:
Verifiable Proof of Health using Public Key Cryptography. - Pranav Nuti:
On the best-choice prophet secretary problem. - Alan Gatherer, Ashish Shrivastava, Hao Luan, Asheesh Kashyap, Zhenguo Gu, Miguel Dajer:
Towards a Domain Specific Solution for a New Generation of Wireless Modems. - Mayra Alexandra Macas Carrasco, Chunming Wu:
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems. - Moshe Babaioff, Richard Cole, Jason D. Hartline, Nicole Immorlica, Brendan Lucier:
Non-quasi-linear Agents in Quasi-linear Mechanisms. - Suchuan Dong, Zongwei Li:
Local Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations. - Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya, Syed Aseem Ul Islam, Abdulazeez Mohammed Salim, Sai Ravela, Dennis S. Bernstein:
Experimental Implementation of an Adaptive Digital Autopilot. - Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman:
Discovering Underground Maps from Fashion. - Isaac Lage, Finale Doshi-Velez:
Learning Interpretable Concept-Based Models with Human Feedback. - Reza Maalek, Derek D. Lichti:
Automated Calibration of Mobile Cameras for 3D Reconstruction of Mechanical Pipes. - Christine Allen-Blanchette, Kostas Daniilidis:
Joint Estimation of Image Representations and their Lie Invariants. - Jason R. Wilson, Leilani Gilpin, Irina Rabkina:
A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation. - Sandipan Banerjee, Ajjen Joshi, Jay Turcot, Bryan Reimer, Taniya Mishra:
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects. - (Withdrawn) Depth estimation on embedded computers for robot swarms in forest.
- Huan Wang, Suhas Lohit, Michael Jones, Yun Fu:
Knowledge Distillation Thrives on Data Augmentation. - Diego Alberto Patiño Cortes, John Branch:
Cosine-Pruned Medial Axis: A new method for isometric equivariant and noise-free medial axis extraction. - Huan Wang, Suhas Lohit, Michael Jones, Yun Fu:
Multi-head Knowledge Distillation for Model Compression. - Md Sarowar Morshed, Md. Noor-E-Alam:
Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum. - Yongjie Yang, Jianxin Wang:
A Refined Study of the Complexity of Binary Networked Public Goods Games. - Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese:
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. - Weicheng Xue, Charles W. Jackson, Christopher J. Roy:
An Improved Framework of GPU Computing for CFD Applications on Structured Grids using OpenACC. - Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Jason M. Lodge, James Bailey, Eduardo Velloso:
Using voice note-taking to promote learners' conceptual understanding. - Igor Shalyminov:
Data-Efficient Methods for Dialogue Systems. - Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai:
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. - Thiago Elias B. Cunha, Rodrigo C. de Lamare, Tadeu N. Ferreira, Lukas T. N. Landau:
Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems Using Low-Resolution Signal Processing in C-RANs. - Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. - Tunazzina Islam, Dan Goldwasser:
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information. - Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. - Nikhil Krishnaswamy, James Pustejovsky:
Neurosymbolic AI for Situated Language Understanding. - Mohammad R. Hajidavalloo, Zhaojian Li, Dong Chen, Ali Louati, Shuo Feng, Wubing B. Qin:
A Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation. - Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel:
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data. - Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin R. Murphy:
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. - Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi:
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. - Ruibo Liu, Guangxuan Xu, Soroush Vosoughi:
Enhanced Offensive Language Detection Through Data Augmentation. - Shivam Vinayak Vatsa, Avi Mohan, Anurag Kumar:
Implementing QZMAC (a Decentralized Delay Optimal MAC) over 6TiSCH under the Contiki OS in an IEEE 802.15.4 Network. - Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng:
A Sequence-Oblivious Generation Method for Context-Aware Hashtag Recommendation. - Guidan Yao, Ahmed M. Bedewy, Ness B. Shroff:
Age Minimization Transmission Scheduling over Time-Correlated Fading Channel under An Average Energy Constraint. - Kiran Manjunatha, Marek Behr, Felix Vogt, Stefanie Reese:
Finite element modelling of in-stent restenosis. - Shiksha Singhal, Veeraruna Kavitha:
Cooperative Ressource Sharing With Adamant Player. - Madina Abdrakhmanova, Askat Kuzdeuov, Sheikh Jarju, Yerbolat Khassanov, Michael Lewis, Huseyin Atakan Varol:
SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams. - Tingwei Li, Ruiwen Zhang, Qing Li:
Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition. - Kit T. Rodolfa, Hemank Lamba, Rayid Ghani:
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? - Matheus A. Cavalcante, Samuel Riedel, Antonio Pullini, Luca Benini:
MemPool: A Shared-L1 Memory Many-Core Cluster with a Low-Latency Interconnect. - Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li:
A Review of Designs and Applications of Echo State Networks. - Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li:
Reciprocal Supervised Learning Improves Neural Machine Translation. - Liu Yuezhang, Bo Li, Qifeng Chen:
Evaluating adversarial robustness in simulated cerebellum. - Adarsh Patnaik, Manthan Patel, Vibhakar Mohta, Het Shah, Shubh Agrawal, Aditya Rathore, Ritwik Malik, Debashish Chakravarty, Ranjan Bhattacharya:
Design and Implementation of Path Trackers for Ackermann Drive based Vehicles. - Soh Kumabe, Takanori Maehara:
r-Gathering Problems on Spiders: Hardness, FPT Algorithms, and PTASes. - Manish Chugani, Shubham Vatsal, Gopi Ramena, Sukumar Moharana, Naresh Purre:
On-Device Tag Generation for Unstructured Text. - Dhruval Jain, Arun D. Prabhu, Shubham Vatsal, Gopi Ramena, Naresh Purre:
Codeswitched Sentence Creation using Dependency Parsing. - Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. - Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao:
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition. - Mitchell J. P. van Zuijlen, Hubert Lin, Kavita Bala, Sylvia C. Pont, Maarten W. A. Wijntjes:
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision. - Francesca Arrigo, Desmond J. Higham, Vanni Noferini:
A Theory for Backtrack-Downweighted Walks. - Hyunsung Lee, Michael Wang, Honguk Woo:
Fixed Priority Global Scheduling from a Deep Learning Perspective. - Xiuxiu Bai, Lele Ye, Zhe Liu:
ProMask: Probability Mask for Skeleton Detection. - Kaiyang Liu, Jun Peng, Jingrong Wang, Jianping Pan:
Optimal Caching for Low Latency in Distributed Coded Storage Systems. - Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. - Pavel Pudlák:
On matrices potentially useful for tree codes. - Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu:
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud. - Vugar E. Ismailov:
A three layer neural network can represent any discontinuous multivariate function. - Takahiro Kinoshita, Satoshi Ono:
Depth estimation from 4D light field videos. - Marija Popovic, Florian Thomas, Sotiris Papatheodorou, Nils Funk, Teresa A. Vidal-Calleja, Stefan Leutenegger:
Efficient Volumetric Mapping Using Depth Completion With Uncertainty for Robotic Navigation. - Renate Sachse, Florian Geiger, Manfred Bischoff:
Constrained motion design with distinct actuators and motion stabilization. - Qijian Zhang, Junhui Hou, Yue Qian, Juyong Zhang, Ying He:
ParaNet: Deep Regular Representation for 3D Point Clouds. - Yiling Yuan, Tao Yang, Yulin Hu, Hui Feng, Bo Hui:
Two-Timescale Resource Allocation for Cooperative D2D Communication: A Matching Game Approach. - Khushboo Agarwal, Veeraruna Kavitha:
Branching Process with Attack: Viral Competing Markets. - Chunyi Huang, Chengmin Wang, Mingzhi Zhang, Ning Xie, Yong Wang:
A Transactive Retail Market Mechanism for Active Distribution Network Integrated with Large-scale Distributed Energy Resources. - Jolin Shaynn-Ly Kwan, Kwan Hui Lim:
Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter. - Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool:
Understanding Bird's-Eye View Semantic HD-Maps Using an Onboard Monocular Camera. - Xiao Zhang, Michael Maire:
Self-Supervised Visual Representation Learning from Hierarchical Grouping. - Marcus Yong, Kwan Hui Lim:
Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis. - Nafees Mansoor:
Conceptualizing and Realizing A Smart City Model for Bangladesh. - Jerome Heng, Junhua Liu, Kwan Hui Lim:
Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks. - Xingyu Zhao, Xiaowei Huang, Valentin Robu, David Flynn:
BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations. - Petr N. Vabishchevich:
Splitting Schemes for Non-Stationary Problems with a Rational Approximation for Fractional Powers of the Operator. - Filipe R. Cordeiro, Gustavo Carneiro:
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? - Yutao Chen, Yu Zhang, Fei Yang:
Different Approaches Towards Vertical Track Irregularity Prediction - A Comparative Study. - Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FAIROD: Fairness-aware Outlier Detection. - Tairan Liu, Marcio de Queiroz:
An Orthogonal Basis Approach to Formation Shape Control (Extended Version). - Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner:
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. - Kai Sun, Yingjie Hu, Jia Song, Yunqiang Zhu:
Aligning geographic entities from historical maps for building knowledge graphs. - Angela Meyer:
Multi-target normal behaviour models for wind farm condition monitoring. - Yanbing Mao, Naira Hovakimyan, Tarek F. Abdelzaher, Evangelos A. Theodorou:
Social System Inference from Noisy Observations. - Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari:
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space. - Stefanos Leonardos, Georgios Piliouras:
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory. - Federico Errica, Davide Bacciu, Alessio Micheli:
Graph Mixture Density Networks. - Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario:
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. - Adit Agarwal, K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay:
Understanding Interpretability by generalized distillation in Supervised Classification. - Keith Cortis, Brian Davis:
Over a Decade of Social Opinion Mining. - Xianpeng Mao, Yuning Yang:
Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors. - Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad:
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks. - Siddhant Gangapurwala, Mathieu Geisert, Romeo Orsolino, Maurice F. Fallon, Ioannis Havoutis:
RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control. - Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong:
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression. - Dan Raphaeli, Snir Nisim:
SPIRAP Wireless Uplink Random Access Protocol Using Spinal Code. - Poojith Kotikalapudi, Vinayak Elangovan:
Obstacle avoidance and path finding for mobile robot navigation. - Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur:
When Do Curricula Work? - Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad:
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2. - Steffen Jung, Margret Keuper:
Spectral Distribution Aware Image Generation. - Hamed Alemohammad, Kevin Booth:
LandCoverNet: A global benchmark land cover classification training dataset. - Onur Mutlu, Saugata Ghose, Juan Gómez-Luna, Rachata Ausavarungnirun:
A Modern Primer on Processing in Memory. - Takashi Kodama, Ribeka Tanaka, Sadao Kurohashi:
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue. - Nicolas Prevot:
GpuShareSat: a SAT solver using the GPU for clause sharing. - Meytal Rapoport-Lavie, Dan Raviv:
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection. - Rishi Sonthalia, Anna C. Gilbert:
Dual Regularized Optimal Transport. - Pauli Miettinen, Stefan Neumann:
Recent Developments in Boolean Matrix Factorization. - Saeed Khaki, Hieu Pham, Lizhi Wang:
YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data. - Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis:
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks. - Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. - Stefan Neumann, Pauli Miettinen:
Biclustering and Boolean Matrix Factorization in Data Streams. - Prasad Jayanti, Anup Joshi:
Recoverable Mutual Exclusion with Abortability. - Marino Miculan, Nicola Vitacolonna:
Automated Symbolic Verification of Telegram's MTProto 2.0. - Ahad N. Zehmakan:
Majority Opinion Diffusion in Social Networks: An Adversarial Approach. - Chaitanya Thammineni, Hemanth Manjunatha, Ehsan Tarkesh Esfahani:
Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games. - James H. Adler, Casey Cavanaugh, Xiaozhe Hu, Ludmil T. Zikatanov:
A finite-element framework for a mimetic finite-difference discretization of Maxwell's equations. - Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye:
Adaptive Weighted Discriminator for Training Generative Adversarial Networks. - Zichu Liu, Qing Zhang, Pei Wang, Yaxin Li, Jingqian Sun:
Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud. - Thanh Vu, Marc Eder, True Price, Jan-Michael Frahm:
Any-Width Networks. - Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks. - Ryan T. Elliott, Payman Arabshahi, Daniel S. Kirschen:
Stabilizing Transient Disturbances With Utility-Scale Inverter-Based Resources. - Christopher Vega, Patanjali SLPSK, Shubhra Deb Paul, Swarup Bhunia:
MeLPUF: Memory in Logic PUF. - Jianbing Ni, Kuan Zhang, Athanasios V. Vasilakos:
Security and Privacy for Mobile Edge Caching: Challenges and Solutions. - Nachuan Ma, Jiankun Wang, Max Q.-H. Meng:
Conditional Generative Adversarial Networks for Optimal Path Planning. - Linhan Yang, Xudong Han, Weijie Guo, Zixin Zhang, Fang Wan, Jia Pan, Chaoyang Song:
Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping. - Yin Teng, Jiayu Li, Lin Liu, Guiyang Xia, Xiaobo Zhou, Feng Shu, Jiangzhou Wang, Xiaohu You:
Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker. - (Withdrawn) Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment Analysis.
- Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang:
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. - Behrooz Tahmasebi, Stefanie Jegelka:
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results. - Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. - Akshay Dua, Yixing Li, Fengbo Ren:
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing. - (Withdrawn) Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information.
- Sanket S. Kalamkar, François Baccelli, Fuad M. Abinader Jr., Andrea S. Marcano Fani, Luis Guilherme Uzeda Garcia:
Beam Management in 5G: A Stochastic Geometry Analysis. - Pedro Montealegre, Diego Ramírez-Romero, Iván Rapaport:
Compact Distributed Interactive Proofs for the Recognition of Cographs and Distance-Hereditary Graphs. - Roberto Reyes-Ochoa, Servando López-Aguayo:
Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion. - Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. - Rui Fan, Li Wang, Mohammud Junaid Bocus, Ioannis Pitas:
Computer Stereo Vision for Autonomous Driving. - Yiran Zhong, Yuchao Dai, Hongdong Li:
Depth Completion using Piecewise Planar Model. - Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Online Adaptation for Consistent Mesh Reconstruction in the Wild. - Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, Xiaohui Xie:
DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation. - Arvind W. Kiwelekar, Swanand Navandar, Dharmendra Kumar Yadav:
A Two-Systems Perspective for Computational Thinking. - Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang:
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. - Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie:
Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos. - Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie:
MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation. - Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim, Roozbeh Mottaghi, Jonghyun Choi:
MOCA: A Modular Object-Centric Approach for Interactive Instruction Following. - Wei Wang, Xiaofu Xiong, Yufei He, Jian Hu, Hongzhou Chen:
Scheduling of Separable Mobile Energy Storage Systems with Mobile Generators and Fuel Tankers to Boost Distribution System Resilience. - Lior Gelberg, David Mendlovic, Dan Raviv:
Skeleon-Based Typing Style Learning For Person Identification. - Turgay Pamuklu, Melike Erol-Kantarci, Cem Ersoy:
Reinforcement Learning Based Dynamic Function Splitting in Disaggregated Green Open RANs. - Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee:
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. - Marco Comunità, Dan Stowell, Joshua D. Reiss:
Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks. - Roi Ronen, Yoav Y. Schechner, Eshkol Eytan:
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms. - Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. - Mihir Dharmadhikari, Tung Dang, Kostas Alexis:
Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method. - Hendrik Speleers, Deepesh Toshniwal:
A general class of C1 smooth rational splines: Application to construction of exact ellipses and ellipsoids. - Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker:
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. - Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen:
Cross-Layer Distillation with Semantic Calibration. - Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang:
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning. - Wanli Xie, Wen-Ze Wu, Chong Liu, Tao Zhang, Zijie Dong:
Forecasting fuel combustion-related CO2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with Grey Wolf Optimizer. - Lifeng Wang, Yu Duan, Yun Lai, Shizhuo Mu, Xiang Li:
V2I-Based Platooning Design with Delay Awareness. - Lu Lv, Qingqing Wu, Zan Li, Zhiguo Ding, Naofal Al-Dhahir, Jian Chen:
Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization. - Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong:
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. - Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang:
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices. - Zehui Gong, Dong Li:
Towards Better Object Detection in Scale Variation with Adaptive Feature Selection. - Yasmina Becis-Aubry:
Ellipsoidal constrained state estimation in presence of bounded disturbances. - Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun:
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. - Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi:
Bayesian Persuasion under Ex Ante and Ex Post Constraints. - Alexander Fengler, Peter Jung, Giuseppe Caire:
Pilot-Based Unsourced Random Access with a Massive MIMO Receiver, MRC and Polar Codes. - Jianwei Huang, Vinod Yegneswaran, Phillip A. Porras, Guofei Gu:
On the Privacy and Integrity Risks of Contact-Tracing Applications. - Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma:
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. - Walid A. Y. Aljoby, Xin Wang, Dinil Mon Divakaran, Tom Z. J. Fu, Richard T. B. Ma:
DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation. - Omer Yair, Tomer Michaeli:
Contrastive Divergence Learning is a Time Reversal Adversarial Game. - Amir Rasouli, Mohsen Rohani, Jun Luo:
Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling. - Benjamin Maschler, Michael Weyrich:
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning. - Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
TediGAN: Text-Guided Diverse Image Generation and Manipulation. - Jan David Smeddinck:
Human-Computer Interaction with Adaptable & Adaptive Motion-based Games for Health. - Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-Learning for Strategic Classification. - Jie Ou, Hong Wu:
Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping. - Alexis Tsoukiàs:
Social Responsibility of Algorithms. - Jiunn-Kai Huang, Chenxi Feng, Madhav Achar, Maani Ghaffari Jadidi, Jessy W. Grizzle:
Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs. - Aymene Mohammed Bouayed, Karim Atif, Rachid Deriche, Abdelhakim Saim:
Improving Auto-Encoders' self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss. - Mehrnaz Amjadi, Danial Mohseni-Taheri, Theja Tulabandhula:
KATRec: Knowledge Aware aTtentive Sequential Recommendations. - Radu Alexandru Rosu, Sven Behnke:
EasyPBR: A Lightweight Physically-Based Renderer. - Botond Feczkó, Dávid Csercsik:
Bid-aggregation based clearing of day-ahead electricity markets. - Ioannis Chiotellis, Daniel Cremers:
Neural Online Graph Exploration. - Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
Maximizing Social Welfare in a Competitive Diffusion Model. - Kfir Goldberg, Stav Shapiro, Elad Richardson, Shai Avidan:
Rethinking FUN: Frequency-Domain Utilization Networks. - Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. - Gabriel Mersy, Jin Hong Kuan:
Source Separation and Depthwise Separable Convolutions for Computer Audition. - Lu Yu, Xialei Liu, Joost van de Weijer:
Self-Training for Class-Incremental Semantic Segmentation. - Zhonghua Zheng, Joseph Ching, Jeffrey H. Curtis, Yu Yao, Peng Xu, Matthew West, Nicole Riemer:
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale. - James E. Newman, Moshe Y. Vardi:
FPRAS Approximation of the Matrix Permanent in Practice. - Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu:
Visual Aware Hierarchy Based Food Recognition. - Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin:
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. - Aida Nematzadeh, Zahra Shekarchi, Thomas L. Griffiths, Suzanne Stevenson:
Competition in Cross-situational Word Learning: A Computational Study. - Amanda K. Glazer, Jacob V. Spertus, Philip B. Stark:
More style, less work: card-style data decrease risk-limiting audit sample sizes. - Samuel Marc Denton, Ansaf Salleb-Aouissi:
A Weighted Solution to SVM Actionability and Interpretability. - Akshay Joshi, Ankit Agrawal, Sushmita Nair:
Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations. - Rajesh P. N. Rao:
Brain Co-Processors: Using AI to Restore and Augment Brain Function. - Allan Sapucaia, Pedro J. de Rezende, Cid C. de Souza:
Solving the Minimum Convex Partition of Point Sets with Integer Programming. - Filip Cornell:
Using topological autoencoders as a filtering function for global and local topology. - Joseph Lorenzetti, Andrew McClellan, Charbel Farhat, Marco Pavone:
Linear Reduced Order Model Predictive Control. - Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng:
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. - Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han:
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation. - Félix Grèzes, Zhaoheng Ni, Viet Anh Trinh, Michael I. Mandel:
Combining Spatial Clustering with LSTM Speech Models for Multichannel Speech Enhancement. - Tanapon Lilasathapornkit, David Rey, Wei Liu, Meead Saberi:
Traffic Assignment Problem for Pedestrian Networks. - Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone:
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions. - Edmondo Trentin:
Multivariate Density Estimation with Deep Neural Mixture Models. - Alexander Okhotin, Victor L. Selivanov:
Input-driven automata on well-nested infinite strings: automata-theoretic and topological properties. - Yasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles:
Modeling Updates of Scholarly Webpages Using Archived Data. - Sayaka Kamei, Sébastien Tixeuil:
An Asynchronous Maximum Independent Set Algorithm by Myopic Luminous Robots on Grids. - Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. - Changsheng You, Beixiong Zheng, Rui Zhang:
How to Deploy Intelligent Reflecting Surfaces in Wireless Network: BS-side, User-side, or Both Sides? - Shagufta Mehnaz, Ninghui Li, Elisa Bertino:
Black-box Model Inversion Attribute Inference Attacks on Classification Models. - Alexander Ororbia, Daniel Kifer:
The Neural Coding Framework for Learning Generative Models. - Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths. - Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash:
Mapping Network States Using Connectivity Queries. - Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon, Mehdi Bennis, Walid Saad:
Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning. - Fan Wang, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Michael Ying Yang:
Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors. - Yixin Tan, Xiaomeng Wang, Tao Jia:
From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information. - Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu:
Sobolev Wasserstein GAN. - Thanh V. Pham, Thang V. Nguyen, Anh T. Pham:
A General Conditional BER Expression of Rectangular QAM in the Presence of Phase Noise. - Kashumi Madampe, Rashina Hoda, John Grundy:
A Multi-dimensional Study of Requirements Changes in Agile Software Development Projects. - Stephen E. Moore:
Multipatch Discontinuous Galerkin IGA for the Biharmonic Problem On Surfaces. - Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. - Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu:
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference. - Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. - Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell:
Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization. - Matthew Francis-Landau:
MFST: A Python OpenFST Wrapper With Support for Custom Semirings and Jupyter Notebooks. - Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng:
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. - Haokui Zhang, Ying Li, Yenan Jiang, Peng Wang, Qiang Shen, Chunhua Shen:
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning. - Junjie Wu, Wei Chen:
Deterministic Scheduling for Low-latency Wireless Transmissions with Continuous Channel States. - Ryan Lopez, Paul J. Atzberger:
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems. - Zhaoting Li, Jiankun Wang, Max Q.-H. Meng:
Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model. - Shreyansh Surana, Smit Detroja, Saurabh Tiwari:
A Tool to Extract Structured Data from GitHub. - Mingda Qiao, Gregory Valiant:
Stronger Calibration Lower Bounds via Sidestepping. - Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer:
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. - Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim:
VideoMix: Rethinking Data Augmentation for Video Classification. - Tsuguo Mogami:
Deep Neural Network Training without Multiplications. - Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
PFA-GAN: Progressive Face Aging with Generative Adversarial Network. - Ria Vinod, Pin-Yu Chen, Payel Das:
Reprogramming Language Models for Molecular Representation Learning. - Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang, Yan Hu, Jiang Liu:
Attention-based Saliency Hashing for Ophthalmic Image Retrieval. - Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. - Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
NCGNN: Node-level Capsule Graph Neural Network. - Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao:
Document Graph for Neural Machine Translation. - Kun Su, Xiulong Liu, Eli Shlizerman:
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements. - Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan:
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules. - Mario Fischer, Jürgen Wassner:
BinArray: A Scalable Hardware Accelerator for Binary Approximated CNNs. - Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng:
Rethinking Learnable Tree Filter for Generic Feature Transform. - Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin:
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection. - Souvik Das, Anirudh Shankar, Vaneet Aggarwal:
A multi-agent evolutionary robotics framework to train spiking neural networks. - Bonaventure F. P. Dossou, Alena Iureva, Sayali R. Rajhans, Vamsi S. Pidikiti:
An Approach to Intelligent Pneumonia Detection and Integration. - Lipeng Wan, Xuwei Song, Xuguang Lan, Nanning Zheng:
Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation. - Tianyi Zhang, Jiankun Wang, Max Q.-H. Meng:
Generative Adversarial Network based Heuristics for Sampling-based Path Planning. - Anton Smerdov, Evgeny Burnaev, Andrey Somov:
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors. - Anusha Lalitha, Anatoly Khina, Tara Javidi:
Causal Posterior Matching and its Applications. - Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun:
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables. - Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu:
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. - Anoushka Vyas, Sambaran Bandyopadhyay:
Semi-supervised Soil Moisture Prediction through Graph Neural Networks. - Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong, Seong-Whan Lee:
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. - Wang Pan, Qipu Deng, Jiadong Li, Zhi Wang, Wenwu Zhu:
STSIR: Spatial Temporal Pandemic Model with Mobility Data. - Gi-Hwan Shin, Young-Seok Kweon, Minji Lee:
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network. - Rong Zhang, Qiaolin He:
The Fictitious Domain Method Based on Navier Slip Boundary Condition for Simulation of Flow-Particle Interaction. - Qun Chen, Zhaoqiang Chen, Youcef Nafa, Tianyi Duan, Zhanhuai Li:
Risk-based Adaptive Deep Learning for Entity Resolution. - Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky:
Fine-grained Angular Contrastive Learning with Coarse Labels. - Malhar Jere, Maghav Kumar, Farinaz Koushanfar:
A Singular Value Perspective on Model Robustness. - Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng:
Fine-Grained Dynamic Head for Object Detection. - Seo-Hyun Lee, Minji Lee, Seong-Whan Lee:
Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics. - Wouter Groeneveld, Joost Vennekens, Kris Aerts:
Engaging Software Engineering Students in Grading: The effects of peer assessment on self-evaluation, motivation, and study time. - Nikola Andelic, Sandi Baressi Segota, Ivan Lorencin, Zlatan Car:
Estimation of Gas Turbine Shaft Torque and Fuel Flow of a CODLAG Propulsion System Using Genetic Programming Algorithm. - Yiwen Guo, Qizhang Li, Hao Chen:
Backpropagating Linearly Improves Transferability of Adversarial Examples. - Anita de Mello Koch, Ellen De Mello Koch, Robert De Mello Koch:
Why Unsupervised Deep Networks Generalize. - Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. - Dong-Kyun Han, Ji-Hoon Jeong:
Domain Generalization for Session-Independent Brain-Computer Interface. - Jhih-Wei Chen, Tsu-Jui Fu, Chen-Kang Lee, Wei-Yun Ma:
H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction. - Alexander Okhotin:
Describing the syntax of programming languages using conjunctive and Boolean grammars. - Yunyi Yang, Yunhao Li, Xiaojun Quan:
UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2. - Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. - Philipp Gesner, Christian Gletter, Florian Landenberger, Frank Kirschbaum, Lutz Morawietz, Bernard Bäker:
Space-Filling Subset Selection for an Electric Battery Model. - Jianfeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng:
End-to-End Object Detection with Fully Convolutional Network. - Samim Ahmadi, Jan Christian Hauffen, Linh Kästner, Peter Jung, Giuseppe Caire, Mathias Ziegler:
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging. - Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch:
Reset-Free Lifelong Learning with Skill-Space Planning. - Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li:
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition. - Bin He, Xin Jiang, Jinghui Xiao, Qun Liu:
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning. - Saeid Alirezazadeh, Luís A. Alexandre:
Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints. - Yao Cheng, Yanjie Mei, Hans-Goerg Roos:
The local discontinuous Galerkin method on layer-adapted meshes for time-dependent singularly perturbed convection-diffusion problems. - Aditya Ajit Khadilkar, Godwyn James William, Hemprasad Yashwant Patil:
Enhanced Consumer Feedback Enabler System for Advertisement Boards using Auto Panning Camera. - Jens Lang, Pia Domschke, Elisa Strauch:
Adaptive Single- and Multilevel Stochastic Collocation Methods for Uncertain Gas Transport in Large-Scale Networks. - Ekaterina N. Shemetova, Alexander Okhotin, Semyon V. Grigorev:
Rational index of bounded-oscillation languages. - Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu:
PPKE: Knowledge Representation Learning by Path-based Pre-training. - Xiaofei Li, Laurent Girin, Fabien Badeig, Radu Horaud:
Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function. - Matthias Blohm, Marc Hanussek, Maximilien Kintz:
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. - Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei:
SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud. - Ievgeniia Kuzminykh, Bogdan Ghita, Alexandr Silonosov:
Impact of Network and Host Characteristics on the Keystroke Pattern in Remote Desktop Sessions. - Francesco Picetti, Sara Mandelli, Paolo Bestagini, Vincenzo Lipari, Stefano Tubaro:
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme. - Vijay V. Vazirani:
A Proof of the MV Matching Algorithm. - Alessandro Erba, Nils Ole Tippenhauer:
No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems. - Ievgeniia Kuzminykh, Bogdan Ghita, Jose M. Such:
The Challenges with Internet of Things for Business. - Mikhail Mrykhin, Alexander Okhotin:
The hardest language for grammars with context operators. - Guangshuai Gao, Qingjie Liu, Qi Wen, Yunhong Wang:
PSCNet: Pyramidal Scale and Global Context Guided Network for Crowd Counting. - Md. Rabiul Islam, Shuji Sakamoto, Yoshihiro Yamada, Andrew Vargo, Motoi Iwata, Masakazu Iwamura, Koichi Kise:
Self-supervised Deep Learning for Reading Activity Classification. - Tommaso Lisini Baldi, Nicole D'Aurizio, Chiara Gaudeni, Sergio Gurgone, Daniele Borzelli, Andrea d'Avella, Domenico Prattichizzo:
Exploiting Implicit Kinematic Kernel for Controlling a Wearable Robotic Extra-finger. - Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. - M. A. Vasquez Beltran, Bayu Jayawardhana, Reynier Peletier:
On the characterization of butterfly and multi-loop hysteresis behavior. - Jianming Huang, Zhongxi Fang, Hiroyuki Kasai:
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space. - Yihui Han, Xiao-Ping Wang, Xiaoping Xie:
An eXtended HDG method for Darcy-Stokes-Brinkman interface problems. - Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. - Dennis Aumiller, Satya Almasian, Sebastian Lackner, Michael Gertz:
Topical Change Detection in Documents via Embeddings of Long Sequences. - Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan:
Real-time monitoring as a supplementary security component of vigilantism in modern network environments. - (Withdrawn) Improving Constraint Satisfaction Algorithm Efficiency for the AllDifferent Constraint.
- Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls:
Randomized kernels for large scale Earth observation applications. - Ji Yoon Han, Ohyun Jo, Juyeop Kim:
Exploitation of Channel-Learning for Enhancing 5G Blind Beam Index Detection. - Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. - Xiaoyu Wang, Martin Benning:
Generalised Perceptron Learning. - Shengchen Li, Yinji Jing, Georgy Fazekas:
A novel dataset for the identification of computer generated melodies in the CSMT challenge. - Eugenio Petrovich:
Bibliometrics in Press. Representations and Uses of Bibliometric Indicators in the Italian Daily Newspapers. - (Withdrawn) An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations.
- Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran:
Non-portability of Algorithmic Fairness in India. - Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin:
Human vs. supervised machine learning: Who learns patterns faster? - Zhaokai Wang, Renda Bao, Qi Wu, Si Liu:
Confidence-aware Non-repetitive Multimodal Transformers for TextCaps. - Phuong Pham, Vivek Jain, Lukas Dauterman, Justin Ormont, Navendu Jain:
DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services. - Jing-Hui Huang, Xue-Ying Duan, Xiang-Yun Hu, Huan Chen:
A Fast Numerical solution of the quark's Dyson-Schwinger equation with Ball-Chiu vertex. - Challiz D. Omorog, Ruji P. Medina:
Internet Security Awareness of Filipinos: A Survey Paper. - Umut Can Çabuk:
Non-Repudiation for VoIP Communication in UMTS and LTE Networks. - Xiong Jun:
FPGA deep learning acceleration based on convolutional neural network. - Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu:
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. - Rajnish Bhusal, Kamesh Subbarao:
Consensus Control of Linear Multi-Agent Systems with Non-uniform Time-varying Communication Delays. - Yufan Luo, Li Xiao:
G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection. - Alkesh Patel, Akanksha Bindal, Hadas Kotek, Christopher Klein, Jason D. Williams:
Generating Natural Questions from Images for Multimodal Assistants. - Mathias Parger, Chengcheng Tang, Yuanlu Xu, Christopher D. Twigg, Lingling Tao, Yijing Li, Robert Wang, Markus Steinberger:
UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality. - Ergin Isleyen, H. Sebnem Düzgün, R. McKell Carter:
Roof fall hazard detection with convolutional neural networks using transfer learning. - Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat:
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition. - Ray Zhang, Tzu-Yuan Lin, Chien Erh Lin, Steven A. Parkison, William A. Clark, Jessy W. Grizzle, Ryan M. Eustice, Maani Ghaffari:
A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras. - Benjamin Rausch, Kevin Mayer, Marie-Louise Arlt, Gunther Gust, Philipp Staudt, Christof Weinhardt, Dirk Neumann, Ram Rajagopal:
An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data. - Ohad Ben-Baruch, Srivatsan Ravi:
Separation and Equivalence results for the Crash-stop and Crash-recovery Shared Memory Models. - Eitan Bachmat, Josu Doncel:
Non-Asymptotic Performance Analysis of Size-Based Routing Policies. - Svitlana Vakulenko, Vadim Savenkov, Maarten de Rijke:
Conversational Browsing. - George Bissias, Rainer Böhme, David Thibodeau, Brian Neil Levine:
Pricing Security in Proof-of-Work Systems. - Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski:
Learning from Experience for Rapid Generation of Local Car Maneuvers. - Yilin Zhao, Zhuosheng Zhang, Hai Zhao:
Reference Knowledgeable Network for Machine Reading Comprehension. - Kieran Woodward, Eiman Kanjo, Athanasios Tsanas:
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification. - A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
Autoencoding Variational Autoencoder. - Leonardo B. Furtado, Bruno Cartaxo, Christoph Treude, Gustavo Pinto:
How Successful Are Open Source Contributions From Countries with Different Levels of Human Development? - Valentin Poirot, Olaf Landsiedel:
Dimmer: Self-Adaptive Network-Wide Flooding with Reinforcement Learning. - Justin Kane Gunn, Hadi Akbarzadeh Khorshidi, Uwe Aickelin:
Similarity measure for aggregated fuzzy numbers from interval-valued data. - Huan Qing, Jingli Wang:
Mixed-SCORE+ for mixed membership community detection. - Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger:
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic. - Yu Wang, Ziqiao Guan, Wei Hou, Fusheng Wang:
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding. - Vladimír Lukes, Eduard Rohan:
Homogenization of large deforming fluid-saturated porous structures. - Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Patrick Matgen, Thomas Tamisier:
Computing flood probabilities using Twitter: application to the Houston urban area during Harvey. - Zizhen Guo, Wenchuan Wu:
Data-driven Model Predictive Control Method for DFIG-based Wind Farm to Provide Primary Frequency Regulation Service. - Lin Chen, Anastasios Giovanidis, Wei Wang, Shan Lin:
Sequential Resource Access: Theory and Algorithm. - Raymond Puzio, Paola Ricaurte, Charles Jeffrey Danoff, Charlotte Pierce, Analua Dutka-Chirichetti, Vitor Bruno, Hermano Cintra, Joseph Corneli:
Patterns, anticipation and participatory futures. - Wellington Oliveira, Hugo Matalonga, Gustavo Pinto, Fernando Castor, João Paulo Fernandes:
Small Changes, Big Impacts: Leveraging Diversity to Improve Energy Efficiency. - Yawen Zhang, Seth E. Spielman, Qi Liu, Si Shen, Jason Shuo Zhang, Qin Lv:
Exploring the Usage of Online Food Delivery Data for Intra-Urban Job and Housing Mobility Detection and Characterization. - Fabio Bonassi, Marcello Farina, Riccardo Scattolini:
Stability of discrete-time feed-forward neural networks in NARX configuration. - Alessandro Pina, Marcos Báez, Florian Daniel:
Bringing Cognitive Augmentation to Web Browsing Accessibility. - Aaron Dutle, César A. Muñoz, Esther Conrad, Alwyn Goodloe, Laura Titolo, Ivan Perez, Swee Balachandran, Dimitra Giannakopoulou, Anastasia Mavridou, Thomas Pressburger:
From Requirements to Autonomous Flight: An Overview of the Monitoring ICAROUS Project. 23-30 - Mojtaba Shahin, Olivia Ilic, Chris Gonsalvez, Jon Whittle:
The Impact of a STEM-based Entrepreneurship Program on the Entrepreneurial Intention of Secondary School Female Students. - Huiping Zhuang, Zhiping Lin, Kar-Ann Toh:
Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization. - Paul Maxwell, David Niblick, Daniel C. Ruiz:
Using Side Channel Information and Artificial Intelligence for Malware Detection. - Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen:
Unsupervised Pre-training for Person Re-identification. - Thanh Thi Nguyen, Hammad Tahir, Mohamed Abdelrazek, Ali Babar:
Deep Learning Methods for Credit Card Fraud Detection. - Igor Lima, Jefferson Silva, Breno Miranda, Gustavo Pinto, Marcelo d'Amorim:
Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing. - Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui:
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion. - Pilar Oplustil Gallegos, Simon King:
Using previous acoustic context to improve Text-to-Speech synthesis. - Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Nearest Neighbors against Data Poisoning Attacks. - Xiaowei Wu, Bo Li, Jiarui Gan:
Budget-feasible Maximum Nash Social Welfare Allocation is Almost Envy-free. - Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson:
Learning Tactile Models for Factor Graph-based State Estimation. - Tim Roith, Leon Bungert:
Continuum Limit of Lipschitz Learning on Graphs. - Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan, Jon Corrales de Oliveira:
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials. - Ruan van der Merwe:
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems. - Theodoros Giannakas, Anastasios Giovanidis, Thrasyvoulos Spyropoulos:
SOBA: Session optimal MDP-based network friendly recommendations. - Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor:
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings. - Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment. - Eric S. Pahl, W. Nick Street, Hans J. Johnson, Alan I. Reed:
A predictive model for kidney transplant graft survival using machine learning. - Yeongwoo Kim, Ezeddin Al Hakim, Johan Haraldson, Henrik Eriksson, José Mairton B. da Silva Jr., Carlo Fischione:
Dynamic Clustering in Federated Learning. - Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Matching Distributions via Optimal Transport for Semi-Supervised Learning. - Andrew Hryniowski, Alexander Wong:
Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics. - Jae Shin Yoon, Lingjie Liu, Vladislav Golyanik, Kripasindhu Sarkar, Hyun Soo Park, Christian Theobalt:
Pose-Guided Human Animation from a Single Image in the Wild. - Ningyuan Chen, Anran Li, Shuoguang Yang:
Revenue Maximization and Learning in Products Ranking. - Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian:
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. - Ruibin Yuan, Ge Zhang, Anqiao Yang, Xinyue Zhang:
Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization. - Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa Higuera, Florian Golemo, Melissa Mozifian, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White:
Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop. - Charline Le Lan, Laurent Dinh:
Perfect density models cannot guarantee anomaly detection. - Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi:
Improving Fairness and Privacy in Selection Problems. - Éireann Leverett, Matilda Rhode, Adam Wedgbury:
Vulnerability Forecasting: In theory and practice. - Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Backdoor Attack with Sample-Specific Triggers. - Yuval Dagan, Gil Kur:
A bounded-noise mechanism for differential privacy. - Zhengyang Yu, Zhihao Dou, Song Wu:
Self-supervised asymmetric deep hashing with margin-scalable constraint for image retrieval. - Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe:
Efficient Reservoir Management through Deep Reinforcement Learning. - Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. - Fei Huang, Alexandre Tiberiu Sava, Kondo H. Adjallah, Zhouhang Wang:
Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation. - Timothee Mickus, Timothée Bernard, Denis Paperno:
What Meaning-Form Correlation Has to Compose With. - Michael Laskin, Luke Metz, Seth Nabarrao, Mark Saroufim, Badreddine Noune, Carlo Luschi, Jascha Sohl-Dickstein, Pieter Abbeel:
Parallel Training of Deep Networks with Local Updates. - Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Jong Chul Ye:
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN. - Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki:
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images. - Jean-Baptiste Camps, Thibault Clérice, Ariane Pinche:
Stylometry for Noisy Medieval Data: Evaluating Paul Meyer's Hagiographic Hypothesis. - Simone Palazzo, Concetto Spampinato, Joseph Schmidt, Isaak Kavasidis, Daniela Giordano, Mubarak Shah:
Correct block-design experiments mitigate temporal correlation bias in EEG classification. - José Lopes, Francisco Javier Chiyah Garcia, Helen F. Hastie:
The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models. - Piyush Agarwal, Jorge Ivan Mireles Gonzalez, Ali Elkamel, Hector M. Budman:
Hierarchical Deep Recurrent Neural Network based Method for Fault Detection and Diagnosis. - Lizhen Tan, Olga Golovneva:
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models. - Denis Coquenet, Clément Chatelain, Thierry Paquet:
End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network. - Alabi Bojesomo, Panos Liatsis, Hasan Al-Marzouqi:
Traffic flow prediction using Deep Sedenion Networks. - Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro:
Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation. - Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam, Rameshwar Pratap:
IHashNet: Iris Hashing Network based on efficient multi-index hashing. - Bruno Pasqualotto Cavalar, Mrinal Kumar, Benjamin Rossman:
Monotone Circuit Lower Bounds from Robust Sunflowers. - Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin A. Persson, Gerbrand Ceder:
COVIDScholar: An automated COVID-19 research aggregation and analysis platform. - Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi:
Sample-efficient proper PAC learning with approximate differential privacy. - Qian Luo, Jing Wu, Matthew C. Gombolay:
A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs). - Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. - Chung-Wei Weng, Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval. - Antonios Antoniadis, Matthias Englert, Nicolaos Matsakis, Pavel Veselý:
Breaking the Barrier of 2 for the Competitiveness of Longest Queue Drop. - Suhas Lohit, Michael Jones:
Model Compression Using Optimal Transport. - Sebastian Biewer, Rayna Dimitrova, Michael Fries, Maciej Gazda, Thomas Heinze, Holger Hermanns, Mohammad Reza Mousavi:
Conformance Relations and Hyperproperties for Doping Detection in Time and Space. - Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Learning Video Instance Segmentation with Recurrent Graph Neural Networks. - Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang, Manolis Savva:
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation. - André Gaul, Jörg Liesen:
Centrality of nodes in Federated Byzantine Agreement Systems. - Tao Gu, Fabio Zanasi:
Coalgebraic Semantics for Probabilistic Logic Programming. - Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. - Shutang You:
A Quantum Computing Framework for Complex System Reliability Assessment. - Eric Blais, Renato Ferreira Pinto Jr., Nathaniel Harms:
VC Dimension and Distribution-Free Sample-Based Testing. - Ali Davody, Mahmoud Safari, Razvan V. Florian:
SuperCoder: Program Learning Under Noisy Conditions From Superposition of States. - Vladislav Makarov:
Counting ternary square-free words quickly. - Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron:
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis. - Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Saloni Potdar:
Benchmarking Intent Detection for Task-Oriented Dialog Systems. - Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo:
Identity-Driven DeepFake Detection. - Yasaman Jafari, Nazanin Sabri, Behnam Bahrak:
Investigating the effects of Goodreads challenges on individuals reading habits. - Erfan Mohagheghi, Joan Gubianes Gasso, Pu Li:
Real-Time Dynamic Optimal Power Flow in Electric Vehicles Considering the Lifetime of the Components in the E-Powertrain. - Purvi Goel, Loudon Cohen, James Guesman, Vikas Thamizharasan, James Tompkin, Daniel Ritchie:
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing. - Allen Roush:
CX DB8: A queryable extractive summarizer and semantic search engine. - Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi:
Computing Fair Utilitarian Allocations of Indivisible Goods. - George T. Cantwell, Alec Kirkley, M. E. J. Newman:
The friendship paradox in real and model networks. - Vincent Jugé, Ghazal Khalighinejad:
Galloping in natural merge sorts. - Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas, Allen Y. Yang, Avideh Zakhor:
GenScan: A Generative Method for Populating Parametric 3D Scan Datasets. - Veysel Kocaman, David Talby:
Improving Clinical Document Understanding on COVID-19 Research with Spark NLP. - Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink:
Battery Model Calibration with Deep Reinforcement Learning. - Minh Bui, Michael Lu, Reza Hojabr, Mo Chen, Arrvindh Shriraman:
Real-Time Formal Verification of Autonomous Systems With An FPGA. - Yao Feng, Haiwen Feng, Michael J. Black, Timo Bolkart:
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images. - Mahsa Zarneshan, Fatemeh Ghassemi, Ehsan Khamespanah, Marjan Sirjani, John Hatcliff:
Specification and Verification of Timing Properties in Interoperable Medical Systems. - Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano:
Generating unseen complex scenes: are we there yet? - Maximilian Graf, Oliver Speidel, Jona Ruof, Klaus Dietmayer:
On-Road Motion Planning for Automated Vehicles at Ulm University. - Qianyi Li, Haim Sompolinsky:
Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group. - Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror:
ATOM3D: Tasks On Molecules in Three Dimensions. - Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson:
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. - Hugues Thomas:
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments. - Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. - Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. - Sihui Zheng, Cong Shen, Xiang Chen:
Design and Analysis of Uplink and Downlink Communications for Federated Learning. - Steffi Olesi Muhanji, Samuel Golding, Tad Montgomery, Clifton Below, Amro M. Farid:
A Distributed Economic Model Predictive Control Design for a Transactive Energy Market Platform in Lebanon, NH. - Andrey Kurenkov, Roberto Martín-Martín, Jeffrey Ichnowski, Ken Goldberg, Silvio Savarese:
Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search. - Christian Makaya, Amalendu Iyer, Jonathan Salfity, Madhu Athreya, M. Anthony Lewis:
Cost-effective Machine Learning Inference Offload for Edge Computing. - Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. - Pavel Panteleev, Gleb Kalachev:
Quantum LDPC Codes with Almost Linear Minimum Distance. - Hussein Al-Jlailaty, Mohammad M. Mansour:
Efficient Attitude Estimators: A Tutorial and Survey. - Alex Reneau, Jason R. Wilson:
Supporting User Autonomy with Multimodal Fusion to Detect when a User Needs Assistance from a Social Robot. - Anuradha Welivita, Pearl Pu:
A Taxonomy of Empathetic Response Intents in Human Social Conversations. - Talya Eden, Dana Ron, Will Rosenbaum:
Almost Optimal Bounds for Sublinear-Time Sampling of k-Cliques: Sampling Cliques is Harder Than Counting. - Milan Studený:
Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities. - Xinwei Li, Yuanyuan Zhang, Xiaodan Zhuang, Daben Liu:
Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems. - Yanren Hou, Feng Shi, Haibiao Zheng:
Expandable Local and Parallel Two-Grid Finite Element Scheme for the Stokes Equations. - Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan:
Using multiple ASR hypotheses to boost i18n NLU performance. - Fereshte Khani, Percy Liang:
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately. - Ayaz Akram, Jason Lowe-Power:
The Tribes of Machine Learning and the Realm of Computer Architecture. - Graham Todd, Shane Steinert-Threlkeld, Christopher Potts:
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents. - Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Lian Zhuo:
Deformable Gabor Feature Networks for Biomedical Image Classification. - Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu:
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. - Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava:
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. - Evan S. Gawlik, François Gay-Balmaz:
A Finite Element Method for MHD that Preserves Energy, Cross-Helicity, Magnetic Helicity, Incompressibility, and div B = 0. - David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka:
Fourier-Informed Knot Placement Schemes for B-Spline Approximation. - Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. - Diganta Bhattacharjee, Kamesh Subbarao:
Set-Membership Filtering-Based Leader-Follower Synchronization of Discrete-time Linear Multi-Agent Systems. - Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica N. Nicolescu:
Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations. - Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön:
Deep Energy-Based NARX Models. - Raiyan Abdul Baten, Ehsan Hoque:
Technology-driven Alteration of Nonverbal Cues and its Effects on Negotiation. - Maoran Zhu, Yuanxin Wu, Shitu Luo:
f2IMU-R: Pedestrian Navigation by Low-cost Foot-Mounted Dual IMUs and Inter-foot Ranging. - John Harwell, Maria L. Gini:
Improved Swarm Engineering: Aligning Intuition and Analysis. - Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, Linhao Li:
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection. - Sadat Shaik, Bernadette Bucher, Nephele Agrafiotis, Stephen Phillips, Kostas Daniilidis, William Schmenner:
Learning Portrait Style Representations. - Joan S. Muthu, Aditya Jyoti Paul, P. Murali:
An Efficient Analyses of the Behavior of One Dimensional Chaotic Maps using 0-1 Test and Three State Test. - Huaiqian You, Yue Yu, Stewart Silling, Marta D'Elia:
Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws. - Hailiang Zhao, Shuiguang Deng, Zijie Liu, Zhengzhe Xiang, Jianwei Yin:
Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge. - Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar:
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems. - Sicong Wang, Naveen Karunanayake, Tham Nguyen, Suranga Seneviratne:
Privacy-Preserving Spam Filtering using Functional Encryption. - Junyu Gao, Tao Han, Yuan Yuan, Qi Wang:
Learning Independent Instance Maps for Crowd Localization. - David Q. Sun, Hadas Kotek, Christopher Klein, Mayank Gupta, William Li, Jason D. Williams:
Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution. - Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding:
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. - Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow:
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization. - Xiaoyun Li, Zibin Zheng, Hong-Ning Dai:
When Services Computing Meets Blockchain: Challenges and Opportunities. - Ninad Jadhav, Weiying Wang, Diana Zhang, Oussama Khatib, Swarun Kumar, Stephanie Gil:
WSR: A WiFi Sensor for Collaborative Robotics. - Mishfad Shaikh Veedu, Murti V. Salapaka:
Topology Identification under Spatially Correlated Noise. - Pengyu Zhang, Dong Wang, Huchuan Lu:
Multi-modal Visual Tracking: Review and Experimental Comparison. - Yepeng Ding, Hiroyuki Sato:
Formalism-Driven Development of Decentralized Systems. - Binghui Wang, Ang Li, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. - Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin:
Learning to Represent Programs with Heterogeneous Graphs. - Brittany Nicholls, Mariama Adangwa, Rachel Estes, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu:
Benchmarking Resource Usage of Underlying Datatypes of Apache Spark. - Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. - Zewei Chu, Karl Stratos, Kevin Gimpel:
Unsupervised Label Refinement Improves Dataless Text Classification. - Sha Hu, Zeshi Yang, Greg Mori:
Neural fidelity warping for efficient robot morphology design. - Xuerong Xiao, Swetava Ganguli, Vipul Pandey:
VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs. - Ivan Kukanov, Janne Karttunen, Hannu Sillanpää, Ville Hautamäki:
Cost Sensitive Optimization of Deepfake Detector. - Jiwei Liu, Bojan Tunguz, Gilberto Titericz:
GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms. - Yuqi Kong, Fanchao Meng, Benjamin A. Carterette:
A Topological Method for Comparing Document Semantics. - Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. - Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu:
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. - Amir-Salar Esteki, Solmaz S. Kia:
Deterministic Privacy Preservation in Static Average Consensus Problem. - Yash Mehta, Dev Patel, Manik Lal Das:
On Aadhaar Identity Management System. - Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi:
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives. - Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira, Renuka Sindhgatta:
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach. - Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith:
Federated Multi-Task Learning for Competing Constraints. - Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. - Shuyu Kong, You Li, Jia Wang, Amin Rezaei, Hai Zhou:
KNN-enhanced Deep Learning Against Noisy Labels. - Hideitsu Hino:
Active Learning: Problem Settings and Recent Developments. - Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. - Han-Hsien Huang, Mi-Yen Yeh:
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. - Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning:
Molecule Optimization via Fragment-based Generative Models. - Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu:
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning. - Jingbo Tan, Linglong Dai:
Wideband Beam Tracking in THz Massive MIMO Systems. - Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. - Yejin Kim, Manri Cheon, Junwoo Lee:
Texture Transform Attention for Realistic Image Inpainting. - Benedict J. Leimkuhler, Matthias Sachs:
Efficient Numerical Algorithms for the Generalized Langevin Equation. - Avram Sidi:
Generalization of the Secant Method for Nonlinear Equations (extended version). - Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo:
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features. - HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim:
Variational Interaction Information Maximization for Cross-domain Disentanglement. - Masaki Aida, Kouichi Nagatani, Chisa Takano:
Increase of Low-Frequency Modes of User Dynamics in Online Social Networks During Overheating of Discussions. - Junmo Lee, Seongjun Kim, Sang-Hyeon Park, Soo-Mook Moon:
RouTEE: A Secure Payment Network Routing Hub using Trusted Execution Environments. - Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Data Instance Prior for Transfer Learning in GANs. - Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Representations Against Adversarial Videos. - Yingda Yin, Qingnan Fan, Fei Xia, Qihang Fang, Siyan Dong, Leonidas J. Guibas, Baoquan Chen:
Active Visual Localization in Partially Calibrated Environments. - Junyi Feng, Jiashen Hua, Baisheng Lai, Jianqiang Huang, Xi Li, Xian-Sheng Hua:
Learning to Generate Content-Aware Dynamic Detectors. - Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian:
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification. - Vedran Mrzljak, Igor Poljak, Jasna Prpic-Orsic, Maro Jelic:
Exergy analysis of marine waste heat recovery CO2 closed-cycle gas turbine system. - Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. - Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen:
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering. - Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. - Matthew C. Fontaine, Stefanos Nikolaidis:
A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy. - Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki:
Optimal Survival Trees. - Tayfun Ates, Muhammed Samil Atesoglu, Cagatay Yigit, Ilker Kesen, Mert Kobas, Erkut Erdem, Aykut Erdem, Tilbe Göksun, Deniz Yuret:
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions. - Mohsin Iqbal, Matteo Lissandrini, Torben Bach Pedersen:
A Foundation for Spatio-Textual-Temporal Cube Analytics (Extended Version). - Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan:
Context-Aware Graph Convolution Network for Target Re-identification. - Ales Zagar, Marko Robnik-Sikonja:
Cross-lingual Approach to Abstractive Summarization. - Xinran Li, Chuan Qin, Zhenxing Qian, Heng Yao, Xinpeng Zhang:
Perceptual Robust Hashing for Color Images with Canonical Correlation Analysis. - Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li:
Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability. - Nian Li, Yanan Wu, Xiangyong Zeng, Xiaohu Tang:
On the differential spectrum of a class of power functions over finite fields. - Alexandros Tanzanakis, John Lygeros:
Constrained Optimal Tracking Control of Unknown Systems: A Multi-Step Linear Programming Approach. - Konstantinos I. Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret:
Quality-Diversity Optimization: a novel branch of stochastic optimization. - Riccardo Volpi, Diane Larlus, Grégory Rogez:
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. - Pierfrancesco Beneventano, Patrick Cheridito, Arnulf Jentzen, Philippe von Wurstemberger:
High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations. - Yakov Babichenko, Aviad Rubinstein:
Settling the complexity of Nash equilibrium in congestion games. - Andrés Mafla, Rafael Sampaio de Rezende, Lluís Gómez, Diane Larlus, Dimosthenis Karatzas:
StacMR: Scene-Text Aware Cross-Modal Retrieval. - Eyal Orbach, Yoav Goldberg:
Facts2Story: Controlling Text Generation by Key Facts. - Lingyong Yan, Xianpei Han, Le Sun, Fangchao Liu, Ning Bian:
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension. - Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Two-Phase Learning for Overcoming Noisy Labels. - Andreas Karrenbauer, Elizaveta Kovalevskaya:
Reading Articles Online. - Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady:
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks. - Jicong Fan:
k-Factorization Subspace Clustering. - Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. - Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Data Dependent Randomized Smoothing. - Shashi Kant Gupta:
Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy. - He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas:
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. - SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. - Markus Püschel, Bastian Seifert, Chris Wendler:
Discrete Signal Processing on Meet/Join Lattices. - Sai Kireet Patri, Achim Autenrieth, Jörg-Peter Elbers, Carmen Mas Machuca:
Planning Optical Networks for Unexpected Traffic Growth. - Genoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro, José-Luis Zechinelli-Martini, Javier-Alfonso Espinosa-Oviedo:
From Data Harvesting to Querying for Making Urban Territories Smart. - Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. - Peter Förster, Sebastian Schöps, Joachim Enders, Maximilian Herbert, Abele Simona:
Freeform shape optimization of a compact DC photo-electron gun using isogeometric analysis. - Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung:
CrossNER: Evaluating Cross-Domain Named Entity Recognition. - Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette:
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics. - Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp:
Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning. - Christoph Schlembach, Sascha L. Schmidt, Dominik Schreyer, Linus Wunderlich:
Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model. - Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn:
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model. - Weipeng Xu, Hongcheng Huang, Shaoyou Pan:
Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection. - Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Algorithms for finding k in k-means. - Yuan Zhang, Zhiyang Teng, Yue Zhang:
End-to-End Chinese Parsing Exploiting Lexicons. - Jannis Harder:
An Answer to the Bose-Nelson Sorting Problem for 11 and 12 Channels. - Sepideh Aghamolaei, Vahideh Keikha, Mohammad Ghodsi, Ali Mohades:
Computing The Packedness of Curves. - Siyue Yu, Bingfeng Zhang, Jimin Xiao, Eng Gee Lim:
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence. - Ryan K. L. Ko:
Cyber Autonomy: Automating the Hacker- Self-healing, self-adaptive, automatic cyber defense systems and their impact to the industry, society and national security. - Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung:
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments. - Arsam Aryandoust, Stefan Pfenninger:
Active machine learning for spatio-temporal predictions using feature embedding. - Ali Sheharyar, Talar Boghos Yacoubian, Dina Aljogol, Borbala Mifsud, Dena Al-Thani, Michaël Aupetit:
An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data. - Guido Schäfer, Bernard G. Zweers:
Maximum Coverage with Cluster Constraints: An LP-Based Approximation Technique. - Lukas Bernreiter, Abel Gawel, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
Multiple Hypothesis Semantic Mapping for Robust Data Association. - Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon:
On Irrelevant Literals in Pseudo-Boolean Constraint Learning. - Harrie Oosterhuis, Maarten de Rijke:
Unifying Online and Counterfactual Learning to Rank. - Yutong Xie, Gaoxiang Chen, Quanzheng Li:
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions. - Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng:
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System. - Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler:
Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments. - Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng:
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things. - Lew Gordeev, Edward Hermann Haeusler:
On proof theory in computer science. - Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu:
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization. - Michael Neumann, Sebastian Koralewski, Michael Beetz:
URoboSim - An Episodic Simulation Framework for Prospective Reasoning in Robotic Agents. - Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, Mirella Lapata:
Extractive Opinion Summarization in Quantized Transformer Spaces. - Ayush Chauhan, Aditya Anand, Shaddy Garg, Sunny Dhamnani, Shiv Kumar Saini:
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions. - Jia Guo, Chen Zhu, Yilun Zhao, Heda Wang, Yao Hu, Xiaofei He, Deng Cai:
LAMP: Label Augmented Multimodal Pretraining. - Yingfan Wang, Haiyang Huang, Cynthia Rudin, Yaron Shaposhnik:
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization. - Minchen Li, Danny M. Kaufman, Chenfanfu Jiang:
Codimensional Incremental Potential Contact. - Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li:
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. - Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness to Label Noise. - Suhas Lohit, Shubhendu Trivedi:
Rotation-Invariant Autoencoders for Signals on Spheres. - Mariia Seleznova, Gitta Kutyniok:
Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory? - Minquan Cheng, Dequan Liang, Kai Wan, Mingming Zhang, Giuseppe Caire:
A Novel Transformation Approach of Shared-link Coded Caching Schemes for Multiaccess Networks. - Sandeep Silwal:
A Concentration Inequality for the Facility Location Problem. - Tatsuro Kawamoto, Takaaki Aoki, Michiko Ueda:
Graph-based open-ended survey on concerns related to COVID-19. - Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyenger, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan:
Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. - Yiqing Liang, Boyuan Chen, Shuran Song:
SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation. - Radu Horaud, Matti Niskanen, Guillaume Dewaele, Edmond Boyer:
Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals. - Omer Dahary, Matan Jacoby, Alex M. Bronstein:
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times. - Tom Goodman, Karoline van Gemst, Peter Tiño:
A Geometric Framework for Pitch Estimation on Acoustic Musical Signals. - Hadi Hosseini, Fatima Umar, Rohit Vaish:
Accomplice Manipulation of the Deferred Acceptance Algorithm. - Katherine Baker, Lehel Banjai:
Numerical analysis of a wave equation for lossy media obeying a frequency power law. - Jiarui Gan, Bo Li, Yingkai Li:
Fair Resource Sharing with Externailities. - Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Construction of optimal spectral methods in phase retrieval. - Yuri Feigin, Hedva Spitzer, Raja Giryes:
GMM-Based Generative Adversarial Encoder Learning. - Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin:
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. - Chris Miller, Soroush Vosoughi:
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. - Dylan Whang, Soroush Vosoughi:
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. - Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Improvements and Extensions on Metaphor Detection. - Angelo Ziletti, Christoph Berns, Oliver Treichel, Thomas Weber, Jennifer Liang, Stephanie Kammerath, Marion Schwaerzler, Jagatheswari Virayah, David Ruau, Xin Ma, Andreas Mattern:
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning. - Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang:
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness. - Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing. - Kasra Jamshidi, Keval Vora:
Pattern Morphing for Efficient Graph Mining. - Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong:
TADO: Time-varying Attention with Dual-Optimizer Model. - Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning. - Razvan V. Marinescu, Daniel Moyer, Polina Golland:
Bayesian Image Reconstruction using Deep Generative Models. - Joseph Turian, Max Henry:
I'm Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch. - Judit Ács, András Kornai:
The Role of Interpretable Patterns in Deep Learning for Morphology. - Dwight Nwaigwe, Marek Rychlik:
Convergence Rates for Multi-classs Logistic Regression Near Minimum. - James Jordon, Alan Wilson, Mihaela van der Schaar:
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods. - Gajjala Viswanatha Reddy, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey:
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network. - Dmitry S. Shalymov, Oleg N. Granichin, Zeev Volkovich, Gerhard-Wilhelm Weber:
Multi-agent control of airplane wing stability under the flexural torsion flutter. - Gautier Izacard, Edouard Grave:
Distilling Knowledge from Reader to Retriever for Question Answering. - Stepan Zakharov, Omri Hadar, Tovit Hakak, Dina Grossman, Yifat Ben-David Kolikant, Oren Tsur:
Discourse Parsing of Contentious, Non-Convergent Online Discussions. - Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan:
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning. - Aleksandr Ivchenko, Pavel Kononyuk, Alexander V. Dvorkovich, Liubov Antiufrieva:
Study on the Assessment of the Quality of Experience of Streaming Video. - Boubakr Nour, Hakima Khelifi, Rasheed Hussain, Spyridon Mastorakis, Hassine Moungla:
Access Control Mechanisms in Named Data Networks: A Comprehensive Survey. - Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. - Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik:
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations. - Dídac Surís, Dave Epstein, Carl Vondrick:
Globetrotter: Unsupervised Multilingual Translation from Visual Alignment. - Abhijit Mahalunkar, John D. Kelleher:
Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures. - Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection using Energy-Based Models. - Zhengyuan Yang, Yijuan Lu, Jianfeng Wang, Xi Yin, Dinei A. F. Florêncio, Lijuan Wang, Cha Zhang, Lei Zhang, Jiebo Luo:
TAP: Text-Aware Pre-training for Text-VQA and Text-Caption. - Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos. - Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. - Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu:
Semantic Image Synthesis via Efficient Class-Adaptive Normalization. - Opeoluwa Owoyele, Pinaki Pal:
Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design. - Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. - Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani:
Predicting seasonal influenza using supermarket retail records. - Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control. - Runshi Geng, J. M. Landsberg:
On the geometry of geometric rank. - Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen D. Guo, Kannan Achan:
A Real-Time Whole Page Personalization Framework for E-Commerce. - Leo K. Tam, Xiaosong Wang, Daguang Xu:
Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19. - Thibault Cordier, Tanguy Urvoy, Lina Maria Rojas-Barahona, Fabrice Lefèvre:
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation. - Otto Brookes, Tilo Burghardt:
A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments. - Amish Goel, Pierre Moulin:
Locally optimal detection of stochastic targeted universal adversarial perturbations. - Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. - Daniel L. Felps, Amelia D. Schwickerath, Joyce D. Williams, Trung N. Vuong, Alan Briggs, Matthew Hunt, Evan Sakmar, David D. Saranchak, Tyler Shumaker:
Class Clown: Data Redaction in Machine Unlearning at Enterprise Scale. - Khuong N. Nguyen, Yoonsuck Choe:
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task. - Kota Srinivas Reddy, Nikhil Karamchandani:
Structured Index Coding Problem and Multi-access Coded Caching. - Yusuf Huseyin Sahin, Alican Mertan, Gözde B. Ünal:
ODFNet: Using orientation distribution functions to characterize 3D point clouds. - Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh:
A SAT-based Resolution of Lam's Problem. - Edgar Galván, Fergal Stapleton:
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition. - Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi:
Canonical Capsules: Unsupervised Capsules in Canonical Pose. - Kerim Kahraman, Mutlu Sentürk, Mümin Tolga Emirler, Ismail Meric Can Uygan, Bilin Aksun Güvenç, Levent Güvenç, Baris Efendioglu:
Yaw Stability Control System Development and Implementation for a Fully Electric Vehicle. - Elizabeth A. Hobson, Matthew J. Silk, Nina H. Fefferman, Daniel B. Larremore, Puck Rombach, Saray Shai, Noa Pinter-Wollman:
A guide to choosing and implementing reference models for social network analysis. - Conor Sayres, José R. Sánchez-Gallego, Michael R. Blanton, Ricardo Araujo, Mohamed Bouri, Loïc Grossen, Jean-Paul Kneib, Juna A. Kollmeier, Luzius Kronig, Richard W. Pogge, Sarah Tuttle:
SDSS-V Algorithms: Fast, Collision-Free Trajectory Planning for Heavily Overlapping Robotic Fiber Positioners. - Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi:
Edited Media Understanding: Reasoning About Implications of Manipulated Images. - Daniel Kunin, Javier Sagastuy-Breña, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka:
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics. - Josue Nassar, Piotr Aleksander Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park:
On 1/n neural representation and robustness. - Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua:
Long Term Motion Prediction Using Keyposes. - Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin:
CARAFE++: Unified Content-Aware ReAssembly of FEatures. - Mohammed Hassanin, Nour Moustafa, Murat Tahtali:
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. - Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia:
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans. - Laure Petrucci, Michal Knapik:
Modular Analysis of Tree-Topology Models. - Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet:
River: machine learning for streaming data in Python. - Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas A. Funkhouser, Baoquan Chen, Leonidas J. Guibas:
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments. - Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. - Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar:
Mitigating the Impact of Adversarial Attacks in Very Deep Networks. - Djordje Grbic, Rasmus Berg Palm, Elias Najarro, Claire Glanois, Sebastian Risi:
EvoCraft: A New Challenge for Open-Endedness. - Boris Eng:
Stellar Resolution: Multiplicatives - for the linear logician, through examples. - Roberto Rondinelli, Stefano Marmani, Valerio Ficcadenti:
Biblical names' relationships in the Gospel of Matthew, Mark, Luke, John and Acts of Apostles. - Thomas Sandholm, Sayandev Mukherjee:
A Multi-Armed Bandit-based Approach to Mobile Network Provider Selection. - Min Chen, Alfie Abdul-Rahman, Daniel Archambault, Jason Dykes, Aidan Slingsby, Panagiotis D. Ritsos, Thomas Torsney-Weir, Cagatay Turkay, Benjamin Bach, A. Brett, Hui Fang, Radu Jianu, Saiful Khan, Robert S. Laramee, Phong Hai Nguyen, Richard E. Reeve, Jonathan C. Roberts, Franck Vidal, Q. Wang, Jo Wood, Kai Xu:
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses. - Yiming Xu, Diego Klabjan:
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. - Paolo Boldi, Georgios Gousios:
Fine-Grained Network Analysis for Modern Software Ecosystems. - Clement Moreau, Thomas Devogele, Laurent Étienne, Verónika Peralta, Cyril de Runz:
Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors. - John Meklenburg, Michael A. Specter, Michael Wentz, Hari Balakrishnan, Anantha P. Chandrakasan, John Cohn, Gary Hatke, Louise Ivers, Ronald L. Rivest, Gerald Jay Sussman, Daniel J. Weitzner:
SonicPACT: An Ultrasonic Ranging Method for the Private Automated Contact Tracing (PACT) Protocol. - Mohammadreza Kavianipour, Hamid Mozafari, Mehrnaz Ghamami, Ali Zockaie, Robert Jackson:
Effects of Electric Vehicle Adoption for State-Wide Intercity Trips on the Emission Saving and Energy Consumption. - Biplav Choudhury, Vijay K. Shah, Avik Dayal, Jeffrey H. Reed:
Joint Age of Information and Self Risk Assessment for Safer 802.11p based V2V Networks. - Chenfeng Xiong, Aref Darzi, Yixuan Pan, Sepehr Ghader, Lei Zhang:
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data. - Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. - Sarthak Dash, Gaetano Rossiello, Nandana Mihindukulasooriya, Sugato Bagchi, Alfio Gliozzo:
Joint Entity and Relation Canonicalization in Open Knowledge Graphs using Variational Autoencoders. - Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva:
You Only Need Adversarial Supervision for Semantic Image Synthesis. - Emily Jensen, Bassam Bamieh:
An Explicit Parametrization of Closed Loops for Spatially Distributed Controllers with Sparsity Constraints. - Zhibo Zhang, Chen Zeng, Maulikkumar Dhameliya, Souma Chowdhury, Rahul Rai:
Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters. - Petr Plechác:
On an Unknown Ancestor of Burrows' Delta Measure. - Mohammad Ghaljehei, Mojdeh Khorsand:
Day-ahead Operational Planning with Enhanced Flexible Ramping Product: Design and Analysis. - Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen:
A Statistical Test for Probabilistic Fairness. - Kevin Yu, Harnaik Dhami, Kartik Madhira, Pratap Tokekar:
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection. - Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang:
Fusing Context Into Knowledge Graph for Commonsense Reasoning. - Aaron Sonabend W., Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai:
Semi-Supervised Off Policy Reinforcement Learning. - George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos:
Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction. - Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao:
Complex Relation Extraction: Challenges and Opportunities. - Shixu Meng:
A Sampling Type Method in an Electromagnetic Waveguide. - Hassan Yazdani, Azadeh Vosoughi:
Steady-State Rate-Optimal Power Adaptation in Energy Harvesting Opportunistic Cognitive Radios with Spectrum Sensing and Channel Estimation Errors. - Inkyu Shin, Sanghyun Woo, Fei Pan, In-So Kweon:
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation. - Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie:
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. - Yang Xue, Fan Wang, Hao Tian, Min Zhao, Jiangyong Li, Haiqing Pan, Yueqiang Dong:
Proactive Interaction Framework for Intelligent Social Receptionist Robots. - Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. - Fei Ye, Huangjie Zheng, Chaoqing Huang, Ya Zhang:
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework. - Chenyang Zhao, Timothy M. Hospedales:
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. - Medhat H. M. Elsayed, Melike Erol-Kantarci, Halim Yanikomeroglu:
Transfer Reinforcement Learning for 5G-NR mm-Wave Networks. - Rui Fan, Christopher Bowd, Nicole Brye, Mark Christopher, Robert N. Weinreb, David J. Kriegman, Linda M. Zangwill:
One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma. - Shuhan Tan, Yujun Shen, Bolei Zhou:
Improving the Fairness of Deep Generative Models without Retraining. - Qun Wang, Fuhui Zhou, Rose Qingyang Hu, Yi Qian:
Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks. - Tomoki Ishikura, Akishige Yuguchi, Yuki Kitamura, Sung-Gwi Cho, Ming Ding, Jun Takamatsu, Wataru Sato, Sakiko Yoshikawa, Tsukasa Ogasawara:
Toward an Affective Touch Robot: Subjective and Physiological Evaluation of Gentle Stroke Motion Using a Human-Imitation Hand. - Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. - Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Dusit Niyato, Mohsen Guizani, Cyril Leung:
Collaborative Coded Computation Offloading: An All-pay Auction Approach. - Tianyu Wang, Bo Lin, Baxi Chong, Julian Whitman, Matthew J. Travers, Daniel I. Goldman, Greg Blekherman, Howie Choset:
Reconstruction of Backbone Curves for Snake Robots. - Jin-Woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon:
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping. - Soumya Chatterjee, Pradeep Shenoy:
Model-agnostic Fits for Understanding Information Seeking Patterns in Humans. - Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard G. Baraniuk:
Scalable Neural Tangent Kernel of Recurrent Architectures. - Pedro Enrique Iturria-Rivera, Shahram Mollahasani, Melike Erol-Kantarci:
Multi Agent Team Learning in Disaggregated Virtualized Open Radio Access Networks (O-RAN). - Pengtao Xie, Xuefeng Du, Hao Ban:
Skillearn: Machine Learning Inspired by Humans' Learning Skills. - Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang:
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation. - Huan Qing, Jingli Wang:
An improved spectral clustering method for mixed membership community detection. - Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu:
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. - Junyao Hou, Xiang Yin, Shaoyuan Li:
A Framework for Current-State Opacity under Dynamic Information Release Mechanism. - Tahsin Sejat Saniat, Tahiat Goni, Shaikat M. Galib:
LSTM recurrent neural network assisted aircraft stall prediction for enhanced situational awareness. - Karthick Shankar, Pengcheng Wang, Ran Xu, Ashraf Mahgoub, Somali Chaterji:
JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads. - Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. - Sharareh Alipour, Ehsan Futuhi, Shayan Karimi:
On Distributed Algorithms for Minimum Dominating Set problem, from theory to application. - Jakub Breier, Adrian Baldwin, Helen Balinsky, Yang Liu:
Risk Management Framework for Machine Learning Security. - Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing, Xiaokang Yang:
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection. - Yuchi Wu, Kemi Ding, Yuzhe Li, Ling Shi:
Optimal Unbiased Linear Sensor Fusion over Multiple Lossy Channels with Collective Observability. - Shigeaki Kuzuoka:
Asynchronous Guessing Subject to Distortion. - Hilmi Kumdakci, Cihan Öngün, Alptekin Temizel:
Generative Data Augmentation for Vehicle Detection in Aerial Images. - Xina Zhang:
Complete weight enumerators of a class of linear codes with four or five weights. - Chaoqin Huang, Fei Ye, Ya Zhang, Yanfeng Wang, Qi Tian:
ESAD: End-to-end Deep Semi-supervised Anomaly Detection. - Yuuki Aoike, Tatsuya Gima, Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, Yota Otachi:
An Improved Deterministic Parameterized Algorithm for Cactus Vertex Deletion. - Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. - Md Habib Ullah, Anas Alseyat, Jae-Do Park:
Distributed Dynamic Pricing in Peer-to-Peer Transactive Energy Systems in Smart Grid. - Xenia Klimentova, Péter Biró, Ana Viana, Virginia Costa, João Pedro Pedroso:
Novel Integer Programming models for the stable kidney exchange problem. - José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls:
Kernel Anomalous Change Detection for Remote Sensing Imagery. - Aozhu Chen, Xinyi Huang, Hailan Lin, Xirong Li:
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning. - Chonghyuk Song, Eunseok Kim, Inwook Shim:
Improving Gradient Flow with Unrolled Highway Expectation Maximization. - Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao:
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks. - Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram:
Distributed Training of Graph Convolutional Networks using Subgraph Approximation. - Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su:
Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation. - Venice Erin Liong, Thi Ngoc Tho Nguyen, Sergi Widjaja, Dhananjai Sharma, Zhuang Jie Chong:
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation. - Yadong Zhang, Xin Chen:
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification. - Kumari Deepshikha, Anugunj Naman:
Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach. - Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social Explorative Attention based Recommendation for Content Distribution Platforms. - Martijn van der Klis, Jos Tellings:
Multidimensional scaling and linguistic theory. - Haiming Liu, Huanli Gao, Shuping Guo, He Cai:
Distributed Dual Objective Control of A Flywheel Energy Storage Matrix System Under Jointly Connected Communication Network. - Denis Coquenet, Yann Soullard, Clément Chatelain, Thierry Paquet:
Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ? - Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, Marco Turchi:
Breeding Gender-aware Direct Speech Translation Systems. - Botond Szabó, Lasse Vuursteen, Harry van Zanten:
Optimal distributed testing in high-dimensional Gaussian models. - Denis Coquenet, Clément Chatelain, Thierry Paquet:
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network. - Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi:
On Knowledge Distillation for Direct Speech Translation. - Asbjørn Engmark Espe, Thomas S. Haugan, Geir Mathisen:
Magnetic Field Energy Harvesting in Railway. - Eric Knauss:
Constructive Master's Thesis Work in Industry: Guidelines for Applying Design Science Research. - Feisal Hadi Masmali, Shah Jahan Miah, N. Y. Mathkoor:
Internet of Things-based innovations in Saudi healthcare sector: A methodological approach for investigating adoption issues. - Weibo Zhang, Guihua Liu, Zhuohua Li, Fuqing Zhu:
Hateful Memes Detection via Complementary Visual and Linguistic Networks. - Arash Khoeini, Saman Haratizadeh, Ehsan Hoseinzade:
Representation Extraction and Deep Neural Recommendation for Collaborative Filtering. - Michael Amir, Noa Agmon, Alfred M. Bruckstein:
A Discrete Model of Collective Marching on Rings. - Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe:
Operator as a Service: Stateful Serverless Complex Event Processing. - Hedi Ben-Younes, Eloi Zablocki, Patrick Pérez, Matthieu Cord:
Driving Behavior Explanation with Multi-level Fusion. - Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta:
Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: preliminary study on the Traveling Salesman Problem. - Marianne Gauffriau:
Counting methods introduced into the bibliometric research literature 1970-2018: A review. - Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu:
Label Confusion Learning to Enhance Text Classification Models. - Mohsen Moradi, Amir Mozammel, Kangjian Qin, Erdal Arikan:
Performance and Complexity of Sequential Decoding of PAC Codes. - Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu:
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing. - Karim M. Ali, Amr Guaily:
Dual perspective method for solving the point in a polygon problem. - Matteo Castiglioni, Nicola Gatti:
Persuading Voters in District-based Elections. - Carlos Cilleruelo, Luis de-Marcos, Javier Junquera-Sánchez, José Javier Martínez-Herráiz:
Interconnection between darknets. - Giorgio Picci, Wenqi Cao, Anders Lindquist:
Modeling and Identification of Low Rank Vector Processes. - Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang:
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. - Yuexin Wu, Tianyu Gao, Hongtao Liu:
GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. - Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou:
Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification. - Rishi Hazra, Sonu Dixit, Sayambhu Sen:
Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols. - Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio:
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. - João Pedro Moraes, Ivanilton Polato, Igor Wiese, Filipe Saraiva, Gustavo Pinto:
From One to Hundreds: Multi-Licensing in the JavaScript Ecosystem. - Marco Medici, Søren Marcus Pedersen, Maurizio Canavari, Thomas Anken, Panagiotis Stamatelopoulos, Zisis Tsiropoulos, Alex Zotos, Ghasem Tohidloo:
A web-tool for calculating the economic performance of precision agriculture technology. - Zhijian Qiao, Hanjiang Hu, Siyuan Chen, Zhe Liu, Zhuowen Shen, Hesheng Wang:
vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition. - Bram Custers, Wouter Meulemans, Bettina Speckmann, Kevin Verbeek:
Route Reconstruction from Traffic Flow via Representative Trajectories. - Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance M. Kaplan:
NSL: Hybrid Interpretable Learning From Noisy Raw Data. - Ujjwal Upadhyay, Prerana Mukherjee:
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning. - Wenqing Zhang, Yang Qiu, Minghui Liao, Rui Zhang, Xiaolin Wei, Xiang Bai:
Scene Text Detection with Scribble Lines. - Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu:
Improving Knowledge Tracing via Pre-training Question Embeddings. - Xiaoyu Mo, Yang Xing, Chen Lv:
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction. - Mohammad Al-Fetyani, Mones Azazma:
Development of Autonomous Quadcopter. - Orcun Karaca:
On the theory and applications of mechanism design and coalitional games in electricity markets. - Jinwen Pan, Zhi Chen, Yong Wang, Roberto Horowitz:
Frequency Separation based Adaptive Feedforward Control for Rejecting Wideband Vibration with Application to Hard Disk Drives. - Junru Ma, Jinquan Luo:
MDS Symbol-Pair Codes from Repeated-Root Cyclic Codes. - Huansheng Ning, Feifei Shi:
Could robots be regarded as humans in future? - Anastasios Tsourtis, Yannis Pantazis, Ioannis Tsamardinos:
Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data. - Ning Wang, Wengang Zhou, Houqiang Li:
Contrastive Transformation for Self-supervised Correspondence Learning. - Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya V. Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, Shubham Ugare:
Secure Medical Image Analysis with CrypTFlow. - Manisha Luthra, Johannes Pfannmüller, Boris Koldehofe, Jonas Höchst, Artur Sterz, Rhaban Hark, Bernd Freisleben:
Efficient Complex Event Processing in Information-centric Networking at the Edge. - Chang Hyun Park, Ilias Vougioukas, Andreas Sandberg, David Black-Schaffer:
Page Tables: Keeping them Flat and Hot (Cached). - Anurag Chowdhury, Arun Ross, Prabu David:
DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis. - Elena Lyulina, Anastasiia Birillo, Vladimir Kovalenko, Timofey Bryksin:
TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks. - Mohammad M. Mansour:
Low-Complexity Soft-Output MIMO Detectors Based on Optimal Channel Puncturing. - Yuanwei Liu, Xiao Liu, Xinyu Gao, Xidong Mu, Xiangwei Zhou, Octavia A. Dobre, H. Vincent Poor:
Robotic Communications for 5G and Beyond: Challenges and Research Opportunities. - Jaap-Henk Hoepman:
A Critique of the Google Apple Exposure Notification (GAEN) Framework. - Erwan Le Merrer, Benoît Morgan, Gilles Trédan:
Setting the Record Straighter on Shadow Banning. - Honghao Gao, Xuejie Wang, Xiaojin Ma, Wei Wei, Shahid Mumtaz:
Com-DDPG: A Multiagent Reinforcement Learning-based Offloading Strategy for Mobile Edge Computing. - Pranav Aggarwal, Ajinkya Kale:
Towards Zero-shot Cross-lingual Image Retrieval. - Bo Zhou, Walid Saad:
Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels. - Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti:
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. - Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua:
Self-supervised Human Detection and Segmentation via Multi-view Consensus. - Daniele Antonio Di Pietro, Jérôme Droniou, André Harnist:
Improved error estimates for Hybrid High-Order discretizations of Leray-Lions problems. - Sander Beckers:
The Counterfactual NESS Definition of Causation. - Nemanja Stefan Perovic, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan:
Optimization of RIS-aided MIMO Systems via the Cutoff Rate. - Benjamin Rossman:
Shrinkage of Decision Lists and DNF Formulas. - Iván Pérez, Enrique Vallejo, Ramón Beivide:
Efficient Bypass in Mesh and Torus NoCs. - Mohammad Salehi, Ekram Hossain:
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks. - Sanket Shevkar, Parthit Patel, Saptarshi Majumder, Harshita Singh, Kshitijaa Jaglan, Hrithwik Shalu:
EMRs with Blockchain : A distributed democratised Electronic Medical Record sharing platform. - Arnab Maiti, Vishakha Patil, Arindam Khan:
Streaming Algorithms for Stochastic Multi-armed Bandits. - Gokhan Serhat:
COMPACT: Concurrent or Ordered Matrix-based Packing Arrangement Computation Technique. - Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz:
Binding and Perspective Taking as Inference in a Generative Neural Network Model. - Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu:
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. - Gal Vardi, Ohad Shamir:
Implicit Regularization in ReLU Networks with the Square Loss. - Yu-Chih Huang, Shin-Lin Shieh, Yu-Pin Hsu, Hao-Ping Cheng:
Iterative Collision Resolution for Slotted ALOHA with NOMA for Heterogeneous Devices. - Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg:
Cooperative System Identification via Correctional Learning. - Kursat Rasim Mestav, Lang Tong:
Bad-Data Sequence Detection for Power System State Estimation via ICA-GAN. - Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin:
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. - Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M. Pauly:
Convex Regularization Behind Neural Reconstruction. - Maice Costa, Yalin E. Sagduyu, Tugba Erpek, Muriel Médard:
Robust Improvement of the Age of Information by Adaptive Packet Coding. - Tim Kittel, Sabine Auer, Christina Horn:
Sneak Preview: PowerDynamics.jl -= An Open-Source library for analyzing dynamic stability in power grids with high shares of renewable energy. - Qinzhe Wu, Jonathan Beard, Ashen Ekanayake, Andreas Gerstlauer, Lizy K. John:
Virtual-Link: A Scalable Multi-Producer, Multi-Consumer Message Queue Architecture for Cross-Core Communication. - Thomas A. Berrueta, Ana Pervan, Kathleen Fitzsimons, Todd D. Murphey:
Dynamical System Segmentation for Information Measures in Motion. - Yaojie Liu, Xiaoming Liu:
Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing. - Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang:
Rigid and Articulated Point Registration with Expectation Conditional Maximization. - Giulio Rossetti, Salvatore Citraro, Letizia Milli:
Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks. - Patrick Kinyua Gikunda, Nicolas Jouandeau:
Cost-Based Budget Active Learning for Deep Learning. - Ellery Wulczyn, Kunal Nagpal, Matthew Symonds, Melissa Moran, Markus Plass, Robert Reihs, Farah Nader, Fraser Tan, Yuannan Cai, Trissia Brown, Isabelle Flament-Auvigne, Mahul B. Amin, Martin C. Stumpe, Heimo Müller, Peter Regitnig, Andreas Holzinger, Gregory S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel:
Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Minhui Huang, Shiqian Ma, Lifeng Lai:
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. - Maria Bauzá, Eric Valls, Bryan Lim, Theo Sechopoulos, Alberto Rodriguez:
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering. - Tijs Maas, Peter Bloem:
Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction. - Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber:
On the Binding Problem in Artificial Neural Networks. - Amra Omanovic, Hilal Kazan, Polona Oblak, Tomaz Curk:
Data embedding and prediction by sparse tropical matrix factorization. - Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi:
Participatory Budgeting with Project Groups. - Alexis Baudron, Zihao W. Wang, Oliver Cossairt, Aggelos K. Katsaggelos:
E3D: Event-Based 3D Shape Reconstruction. - Furkan Gursoy, Bertan Badur:
Extracting the signed backbone of intrinsically dense weighted networks. - Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy:
Positional Encoding as Spatial Inductive Bias in GANs. - Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussen Abdelaziz, Nicholas Apostoloff:
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. - Xuanchi Ren, Zian Qian, Qifeng Chen:
Video Deblurring by Fitting to Test Data. - Sebastian Copei, Albert Zündorf:
The Fulib Solution to the TTC 2020 Migration Case. - Manisha Luthra, Boris Koldehofe, Jonas Höchst, Patrick Lampe, Ali Haider Rizvi, Ralf Kundel, Bernd Freisleben:
INetCEP: In-Network Complex Event Processing for Information-Centric Networking. - Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation. - Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello:
Sparse data-driven quadrature rules via 𝓁p-quasi-norm minimization. - Lorenzo Valerio, Andrea Passarella, Marco Conti:
Optimising cost vs accuracy of decentralised analytics in fog computing environments. - Tom Hanika, Johannes Hirth:
On the Lattice of Conceptual Measurements. - Ahmad F. Taha, Shen Wang, Yi Guo, Tyler H. Summers, Nikolaos Gatsis, Marcio H. Giacomoni, Ahmed A. Abokifa:
Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics. - Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. - Hongxin Wei, Lei Feng, Rundong Wang, Bo An:
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. - Hikmet Yucel, Gulin Elibol, Ugur Yayan:
Wi-Fi Based Indoor Positioning System For Mobile Robots By Using Particle Filter. - Nils Margenberg, Christian Lessig, Thomas Richter:
Structure Preservation for the Deep Neural Network Multigrid Solver. - Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song:
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. - Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese:
Topological Planning with Transformers for Vision-and-Language Navigation. - Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright:
Optimal oracle inequalities for solving projected fixed-point equations. - Xingran Zhu:
Cross-lingual Word Sense Disambiguation using mBERT Embeddings with Syntactic Dependencies. - Olga Golovneva, Charith Peris:
Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU. - Naif Alshammari, Samet Akcay, Toby P. Breckon:
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation. - Mika Hämäläinen, Niko Partanen, Khalid Al-Najjar:
Normalization of Different Swedish Dialects Spoken in Finland. - Naif Alshammari, Samet Akcay, Toby P. Breckon:
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation. - Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. - Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group:
Modeling Disease Progression Trajectories from Longitudinal Observational Data. - Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls:
Convolutional Neural Networks for Multispectral Image Cloud Masking. - Edwige Cyffers, Aurélien Bellet:
Privacy Amplification by Decentralization. - Nurit Spingarn-Eliezer, Ron Banner, Tomer Michaeli:
GAN Steerability without optimization. - Dennis Ulmer, Giovanni Cinà:
Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data. - Niko Partanen, Mika Hämäläinen, Tiina Klooster:
Speech Recognition for Endangered and Extinct Samoyedic languages. - Harish Haresamudram, Irfan A. Essa, Thomas Ploetz:
Contrastive Predictive Coding for Human Activity Recognition. - Carlos M. Massera, Tiago C. dos Santos, Marco H. Terra, Denis F. Wolf:
Tube-based Guaranteed Cost Model Predictive Control Applied to Autonomous Driving Up to the Limits of Handling. - Anthony Corso, Mykel J. Kochenderfer:
Transfer Learning for Efficient Iterative Safety Validation. - Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han:
Neural Rate Control for Video Encoding using Imitation Learning. - Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks. - Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr:
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. - Eklavya Sarkar, Pavel Korshunov, Laurent Colbois, Sébastien Marcel:
Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks. - Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna:
Data and its (dis)contents: A survey of dataset development and use in machine learning research. - Toni Tan, René Weller, Gabriel Zachmann:
Compressed Bounding Volume Hierarchies for Collision Detection & Proximity Query. - Carlos M. Massera, Marco H. Terra, Denis F. Wolf:
Tube-based Guaranteed Cost Robust Model Predictive Control for Linear Systems Subject to Parametric Uncertainties. - Tanvir Mahmud, Shaikh Anowarul Fattah:
Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion. - Junzhe Shi, Min Tian, Sangwoo Han, Tung-Yan Wu, Yifan Tang:
Electric Vehicle Battery Remaining Charging Time Estimation Considering Charging Accuracy and Charging Profile Prediction. - Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy:
Physics-consistent deep learning for structural topology optimization. - Kejie Li, Hamid Rezatofighi, Ian D. Reid:
MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos. - Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman:
Data-driven Competitive Algorithms for Online Knapsack and Set Cover. - Adrian Röfer, Georg Bartels, Michael Beetz:
Kineverse: A Symbolic Articulation Model Framework for Model-Generic Software for Mobile Manipulation. - Francesca Scarabel, Odo Diekmann, Rossana Vermiglio:
Numerical bifurcation analysis of renewal equations via pseudospectral approximation. - C. N. P. Slagle, Lance Fortnow:
Matrix Multiplication and Binary Space Partitioning Trees : An Exploration. - Ben Green, Yiling Chen:
Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts. - Bin Han, Michelle Michelle:
Wavelets on Intervals Derived from Arbitrary Compactly Supported Biorthogonal Multiwavelets. - Mohammad Rafayet Ali, Taylor Myers, Ellen Wagner, Harshil Ratnu, Earl Ray Dorsey, Ehsan Hoque:
Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online. - Jason Yoo, Tony Joseph, Dylan Yung, Seyed Ali Nasseri, Frank Wood:
Ensemble Squared: A Meta AutoML System. - Amin Abbasi, Somaiyeh Mahmoud Zadeh, Amirmehdi Yazdani, Ata Jahangir Moshayedi:
Feasibility Assessment of a Cost-Effective Two-Wheel Kian-I Mobile Robot for Autonomous Navigation. - Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. - Yemao Xu, Dezun Dong, Yawei Zhao, Weixia Xu, Xiangke Liao:
ssd-sgd: communication sparsification for distributed deep learning training. - Dengya Zhu, Shastri Lakshman Nimmagadda, Torsten Reiners, Amit Rudra:
An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem. - Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang:
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data. - Masoud Bashiri:
Data-Driven Intersection Management Solutions for Mixed Traffic of Human-Driven and Connected and Automated Vehicles. - Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier:
Research Challenges in Designing Differentially Private Text Generation Mechanisms. - Victor Croisfelt Rodrigues, Abolfazl Amiri, Taufik Abrão, Elisabeth de Carvalho, Petar Popovski:
Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays. - Elisa Bertino, Sujata Banerjee:
Artificial Intelligence at the Edge. - Peng Zhou, Jihong Zhu, Shengzeng Huo, David Navarro-Alarcon:
LaSeSOM: A Latent Representation Framework for Semantic Soft Object Manipulation. - Yangming Li, Kaisheng Yao:
Rewriter-Evaluator Framework for Neural Machine Translation. - Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin, In So Kweon:
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search. - Yangming Li, Lemao Liu, Shuming Shi:
Segmenting Natural Language Sentences via Lexical Unit Analysis. - (Withdrawn) A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors.
- Weinan E, Stephan Wojtowytsch:
On the emergence of tetrahedral symmetry in the final and penultimate layers of neural network classifiers. - Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng:
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation. - Yangming Li, Lemao Liu, Shuming Shi:
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. - Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao:
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition. - Saigopal Thota, Mridul Jain, Nishad Kamat, Saikiran Malikireddy, Pruthvi Raj Eranti, Albin Kuruvilla:
Building Graphs at a Large Scale: Union Find Shuffle. - Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon:
Communication-Computation Efficient Secure Aggregation for Federated Learning. - Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue:
Composite Adversarial Attacks. - Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo:
Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. - Maxat Alibayev, David Paulius, Yu Sun:
Developing Motion Code Embedding for Action Recognition in Videos. - Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul:
Scheduling Beyond CPUs for HPC. - Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. - Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. - Shubhanshu Mishra, Daniel Collier:
A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality. - Ting Wang, Zongkai Wu, Donglin Wang:
Visual Perception Generalization for Vision-and-Language Navigation via Meta-Learning. - Moïse Blanchard, M. Amine Bennouna:
The Representation Power of Neural Networks: Breaking the Curse of Dimensionality. - Vivek Khetan, Roshni R. Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano:
Causal-BERT : Language models for causality detection between events expressed in text. - Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung:
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions. - Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. - Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
Cold-start Sequential Recommendation via Meta Learner. - Schrasing Tong, Lalana Kagal:
Investigating Bias in Image Classification using Model Explanations. - Nidhish Raj, Leonardo J. Colombo, Ashutosh Simha:
Structure Preserving Reduced Attitude Control of Gyroscopes. - Marvin Häuser, Vitaly Cheptsov:
Securing the EDK II Image Loader. - Yuting Qiang, Yongxin Yang, Yanwen Guo, Timothy M. Hospedales:
Tensor Composition Net for Visual Relationship Prediction. - Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun:
One for More: Selecting Generalizable Samples for Generalizable ReID Model. - Binbin Zhang, Di Wu, Zhuoyuan Yao, Xiong Wang, Fan Yu, Chao Yang, Liyong Guo, Yaguang Hu, Lei Xie, Xin Lei:
Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition. - Ranjan Pal, Yixuan Wang, Swades De, Bodhibrata Nag, Pan Hui:
Preference-Based Privacy Trading. - Musarrat Hussain, Jamil Hussain, Taqdir Ali, Fahad Ahmed Satti, Sungyoung Lee:
AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice. - Benjamin Sliwa, Cedrik Schüler, Manuel Patchou, Christian Wietfeld:
PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge. - Hao Li, Huan Wang, Guanghua Liu:
An Event Correlation Filtering Method for Fake News Detection. - Zhaoqun Li, Hongren Wang, Jinxing Li:
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition. - Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou:
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. - Ali A. Esswie, Klaus I. Pedersen:
Analysis of Outage Latency and Throughput Performance in Industrial Factory 5G TDD Deployments. - Haozhen Zhang, Wei Zhao, Shuang Liu:
SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification. - Mohsen Moradi:
On the Metric and Computation of PAC Codes. - Balaji Ganesan, Hima Patel, Sameep Mehta:
Explainable Link Prediction for Privacy-Preserving Contact Tracing. - Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov:
Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications. - Jingya Li, Demia Della Penda, Henrik Sahlin, Paul Schliwa-Bertling, Mats Folke, Magnus Stattin:
An Overview of 5G System Accessibility Control and Differentiation. - Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang:
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. - Ziang Long, Penghang Yin, Jack Xin:
Recurrence of Optimum for Training Weight and Activation Quantized Networks. - Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li:
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. - Andrei Zaharescu, Edmond Boyer, Radu Horaud:
Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction. - Isaac Chin Eian, Lim Ka Yong, Majesty Yeap Xiao Li, Noor Affan Bin Noor Hasmaddi, Fatima-tuz-Zahra:
Integration of Security Modules in Software Development Lifecycle Phases. - Maria Zimina-Poirot, Nicolas Ballier, Jean-Baptiste Yunès:
Approches quantitatives de l'analyse des pr{é}dictions en traduction automatique neuronale (TAN). - Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan:
Image Captioning with Context-Aware Auxiliary Guidance. - Laurent Bonnasse-Gahot, Jean-Pierre Nadal:
Categorical Perception: A Groundwork for Deep Learning. - Ulrich Brenner, Anna Hermann, Jannik Silvanus:
Constructing Depth-Optimum Circuits for Adders and AND-OR Paths. - Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, Shi-Min Hu:
DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors. - Naomi Schneider, Volker Michel:
A dictionary learning add-on for spherical downward continuation. - Carianne Pretorius, Maryam Razavian, Katrin Eling, Fred Langerak:
Combined Intuition and Rationality Increases Software Feature Novelty for Female Software Designers. - Lucian-Ionut Gavrila, Alexandru Popa:
A novel algorithm for clearing financial obligations between companies - an application within the Romanian Ministry of Economy. - Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim:
Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. - Hong Zhang, Haojie Li, Shenglun Chen, Tiantian Yan, Zhihui Wang, Guo Lu, Wanli Ouyang:
Direct Depth Learning Network for Stereo Matching. - Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard:
Large-Scale Generative Data-Free Distillation. - Yves Dufournaud, Cordelia Schmid, Radu Horaud:
Image Matching with Scale Adjustment. - Hong Zhang, Shenglun Chen, Zhihui Wang, Haojie Li, Wanli Ouyang:
Full Matching on Low Resolution for Disparity Estimation. - Alexander Rieder:
Double exponential quadrature for fractional diffusion. - Ziwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert E. Mahony:
An Asynchronous Kalman Filter for Hybrid Event Cameras. - Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao:
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. - Daniel Kelly, Frank G. Glavin, Enda Barrett:
Serverless Computing: Behind the Scenes of Major Platforms. - Sander Beckers:
Equivalent Causal Models. - Chun-Yu Lin, Churn-Jung Liau:
On Coalgebraic Many-Valued Modal Logic. - Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu:
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation. - Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement. - Yifei Li, Weizhu Bao:
An energy-stable parametric finite element method for anisotropic surface diffusion. - Sara Grassi, Lorenzo Pareschi:
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit. - Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas K. Maier, Vincent Christlein:
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning. - Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data. - Roland Herzog, Estefanía Loayza-Romero:
A Manifold of Planar Triangular Meshes with Complete Riemannian Metric. - Canh T. Dinh, Nguyen Hoang Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef:
DONE: Distributed Newton-type Method for Federated Edge Learning. - Zhipeng Xue, Xiaojun Yuan, Yang Yang:
Denoising-based Turbo Message Passing for Compressed Video Background Subtraction. - Wietse de Vries, Malvina Nissim:
As good as new. How to successfully recycle English GPT-2 to make models for other languages. - Adam Vandor, Marie van Vollenhoven, Gerhard Weiss, Gerasimos Spanakis:
Can we detect harmony in artistic compositions? A machine learning approach. - Enrico Bassetti, Emanuele Panizzi, Edoardo Ottavianelli:
Simplify Node-RED For End User Development in SeismoCloud. - Yang Liu, Kuanquan Wang, Qince Li, Runnan He, Yongfeng Yuan, Henggui Zhang:
Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network. - Deyuan Meng:
Control Analysis and Synthesis of Data-Driven Learning: A Kalman State-Space Approach. - Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. - Mingxing Zhang, Zhengchun Zhou, Lanping Li, Zilong Liu, Meng Yang, Yanghe Feng:
HpGAN: Sequence Search with Generative Adversarial Networks. - Yang Zhao, Bruno Clerckx, Zhenyuan Feng:
Intelligent Reflecting Surface-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design. - Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari:
Concept Generalization in Visual Representation Learning. - Michiel Sandra, Sara Gunnarsson, Anders J. Johansson:
Internet of Buoys: An Internet of Things Implementation at Sea. - Itai Lang, Uriel Kotlicki, Shai Avidan:
Geometric Adversarial Attacks and Defenses on 3D Point Clouds. - Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. - Hieu Le Trung, Yiqing Xu, Wee Sun Lee:
Factor Graph Molecule Network for Structure Elucidation. - Anshu Mukherjee, Björn E. Ottersten, Le-Nam Tran:
On the MIMO Secrecy Capacity of MIMO Wiretap Channels: Convex Reformulation and Efficient Numerical Methods. - Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy P. Lillicrap, Kory W. Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu:
Imitating Interactive Intelligence. - Leanne Nortje, Herman Kamper:
Direct multimodal few-shot learning of speech and images. - Kostadin Cvejoski, Ramsés J. Sánchez, Bogdan Georgiev, Christian Bauckhage, César Ojeda:
Recurrent Point Review Models. - David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Generative Deep Learning Techniques for Password Generation. - Tiancheng Huang, Ke Xu, Donglin Wang:
DA-HGT: Domain Adaptive Heterogeneous Graph Transformer. - Rui Yan, Lingxi Xie, Xiangbo Shu, Jinhui Tang:
Interactive Fusion of Multi-level Features for Compositional Activity Recognition. - Sayan Nag:
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images. - M. Norouzisadeh, Giovanni Cerchiari, F. Croccolo:
Increased performance in DDM analysis by calculating structure functions through Fourier transform in time. - Mustafa Othman, Ken Chen, Anissa Mokraoui:
A User-experience Driven SSIM-Aware Adaptation Approach for DASH Video Streaming. - Agelos Kratimenos, Georgios Pavlakos, Petros Maragos:
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction. - Karin de Langis, Michael Fulton, Junaed Sattar:
An Analysis of Deep Object Detectors For Diver Detection. - Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb:
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. - Maria Girardi:
The natural frequencies of masonry beams. - Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Minji Lee:
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG. - Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid:
Look Before you Speak: Visually Contextualized Utterances. - Wlodek Zadrozny:
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics. - Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder:
Using Differentiable Programming for Flexible Statistical Modeling. - David Barrera Ferro, Sally C. Brailsford, Cristián Bravo, Honora Smith:
Improving healthcare access management by predicting patient no-show behaviour. - Lingyue Shen, Zhiliang Xu, Ping Lin, Huaxiong Huang, Shixin Xu:
An Energy Stable C0 Finite Element Scheme for A Phase-Field Model of Vesicle Motion and Deformation. - Erik Burman, Johnny Guzmán:
Implicit-explicit multistep formulations for finite element discretisations using continuous interior penalty. - Nico Potyka:
Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix). - Chia-Wei Tang, Chao-Lin Liu, Po-Sen Chiu:
HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents. - Ruddy Théodosc, Dieumet Denis, Thierry Chateau, Vincent Frémont, Paul Checchin:
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection. - Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein:
Longitudinal Citation Prediction using Temporal Graph Neural Networks. - Emre Eraslan, Yildiray Yildiz:
Modeling, Control and Human-In-The-Loop Stability Analysis of an Elastic Quadrotor. - Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes:
Data Privacy in Trigger-Action IoT Systems. - Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald:
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs. - Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambrym Maillard:
Thompson Sampling for CVaR Bandits. - Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. - Eugene A. Golikov:
Notes on Deep Learning Theory. - Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains:
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks. - Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni:
DAX: Deep Argumentative eXplanation for Neural Networks. - Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni:
Influence-Driven Explanations for Bayesian Network Classifiers. - Giulia Romano, Gianluca Tartaglia, Alberto Marchesi, Nicola Gatti:
Online Posted Pricing with Unknown Time-Discounted Valuations. - Andrea Lekkas, Peter Schneider-Kamp, Isabelle Augenstein:
Multi-Sense Language Modelling. - Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo:
OneNet: Towards End-to-End One-Stage Object Detection. - Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas:
A Study of Condition Numbers for First-Order Optimization. - Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi:
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation. - Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi, Aman Singhal, Zeeshan Khan, Vinay P. Namboodiri, C. V. Jawahar:
Exploring Pair-Wise NMT for Indian Languages. - Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira:
Appliance-Level Monitoring with Micro-Moment Smart Plugs. - Jan Friedrich, Simone Göttlich, Elena Rossi:
Nonlocal approaches for multilane traffic models. - Sancho Salcedo-Sanz, Pedram Ghamisi, Maria Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources. - Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci:
Demystifying Pseudo-LiDAR for Monocular 3D Object Detection. - José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Efficient Nonlinear RX Anomaly Detectors. - R. M. L. N. Kumari, G. A. C. T. Bandara, Maheshi B. Dissanayake:
Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics. - Chuanyu Yang, Kai Yuan, Qiuguo Zhu, Wanming Yu, Zhibin Li:
Multi-expert learning of adaptive legged locomotion. - Qingqing Cao, Oriana Riva, Aruna Balasubramanian, Niranjan Balasubramanian:
Bew: Towards Answering Business-Entity-Related Web Questions. - Alexandru Tifrea, Eric Stavarache, Fanny Yang:
Learn what you can't learn: Regularized Ensembles for Transductive Out-of-distribution Detection. - Deepa Jagyasi, Marceau Coupechoux:
Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications. - Tiago de Melo:
User Questions from Tweets on COVID-19: An Exploratory Study. - Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox:
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale. - Moein Sorkhei, Gustav Eje Henter, Hedvig Kjellström:
Full-Glow: Fully conditional Glow for more realistic image generation. - Valerio Lorini, Carlos Castillo, Domenico Nappo, Francesco Dottori, Peter Salamon:
Social Media Alerts can Improve, but not Replace Hydrological Models for Forecasting Floods. - David Puljiz, Björn Hein:
Adapting the Human: Leveraging Wearable Technology in HRI. - Bingyao Huang, Haibin Ling:
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers. - NaLette Brodnax, Piotr Sapiezynski:
Evolution of Digital Advertising Strategies during the 2020 US Presidential Primary. - Daoming Zong, Shiliang Sun:
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification. - Eric J. Michaud, Adam Gleave, Stuart Russell:
Understanding Learned Reward Functions. - Aleksandar S. Dimovski, Sven Apel, Axel Legay:
A Decision Tree Lifted Domain for Analyzing Program Families with Numerical Features (Extended Version). - Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner, Arvind Narayanan, Mihir Kshirsagar, Yan Shvartzshnaider, Madelyn Sanfilippo:
Virtual Classrooms and Real Harms. - A. Karim Abu-Affash, Paz Carmi, Adi Krasin:
A Linear-Time Algorithm for Minimum k-Hop Dominating Set of a Cactus Graph. - Francesco Calabrò, Gianluca Fabiani, Constantinos I. Siettos:
Extreme learning machine collocation for the numerical solution of elliptic PDEs with sharp gradients. - Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling:
Hindsight and Sequential Rationality of Correlated Play. - Artur S. d'Avila Garcez, Luís C. Lamb:
Neurosymbolic AI: The 3rd Wave. - Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin:
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. - Mohammad Sadegh Rasooli, Farzane Bakhtyari, Fatemeh Shafiei, Mahsa Ravanbakhsh, Chris Callison-Burch:
Automatic Standardization of Colloquial Persian. - Alejandro Díaz-Caro, Octavio Malherbe:
Quantum Control in the Unitary Sphere: Lambda-S1 and its Categorical Model. - Sharada Prasanna Mohanty, Erik Nygren, Florian Laurent, Manuel Schneider, Christian Scheller, Nilabha Bhattacharya, Jeremy D. Watson, Adrian Egli, Christian Eichenberger, Christian Baumberger, Gereon Vienken, Irene Sturm, Guillaume Sartoretti, Giacomo Spigler:
Flatland-RL : Multi-Agent Reinforcement Learning on Trains. - Xinshuo Weng, Kris Kitani:
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking. - Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel:
Flexible Few-Shot Learning with Contextual Similarity. - Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot:
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation. - Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Nenghai Yu:
Are Fewer Labels Possible for Few-shot Learning? - Johannes Kopf, Xuejian Rong, Jia-Bin Huang:
Robust Consistent Video Depth Estimation. - Chen Gao, Yi-Chang Shih, Wei-Sheng Lai, Chia-Kai Liang, Jia-Bin Huang:
Portrait Neural Radiance Fields from a Single Image. - Xinyu He, Fang He, Xinting Zhu, Lishuai Li:
Data-driven Method for Estimating Aircraft Mass from Quick Access Recorder using Aircraft Dynamics and Multilayer Perceptron Neural Network. - Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. - Carlos Gómez, Niamh Belton, Boi Quach, Jack Nicholls, Devanshu Anand:
A Simplistic Machine Learning Approach to Contact Tracing. - Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis, Aaron C. Courville:
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. - Tomás Báca, Robert Penicka, Petr Stepan, Matej Petrlík, Vojtech Spurný, Daniel Hert, Martin Saska:
Autonomous Cooperative Wall Building by a Team of Unmanned Aerial Vehicles in the MBZIRC 2020 Competition. - Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. - Federico Vismara, Tommaso Benacchio, Luca Bonaventura:
A seamless, extended DG approach for hyperbolic-parabolic problems on unbounded domains. - Mihaela A. Bornea, Lin Pan, Sara Rosenthal, Radu Florian, Avirup Sil:
Multilingual Transfer Learning for QA Using Translation as Data Augmentation. - Syeda Nyma Ferdous, Ali Dabouei, Jeremy M. Dawson, Nasser M. Nasrabadi:
Super-resolution Guided Pore Detection for Fingerprint Recognition. - Alec Dektor, Abram Rodgers, Daniele Venturi:
Rank-adaptive tensor methods for high-dimensional nonlinear PDEs. - Rok Hribar, Timotej Hrga, Gregor Papa, Gasper Petelin, Janez Povh, Natasa Przulj, Vida Vukasinovic:
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. - Corey J. Maley:
Analog Computation and Representation. - Antonio Concha, Suresh Thenozhi, Ramón Octavio Jiménez Betancourt, Suresh Kumar Gadi:
A tuning algorithm for a sliding mode controller of buildings with ATMD. - Michael Moy, Robert Cardona, Robert Green, Jacob Cleveland, Alan Hylton, Robert Short:
Path Optimization Sheaves. - Chenyang Lu, Gijs Dubbelman:
Image-Graph-Image Translation via Auto-Encoding. - Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. - Navid Hashemi, Justin Ruths, Mahyar Fazlyab:
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization. - John Kalung Leung, Igor Griva, William G. Kennedy:
Using Affective Aware Pseudo Association Method to Connect Disjoint Users and Items for Making Cross-Domain Recommendations. - Zachary C. Brown, Nathaniel R. Robinson, David Wingate, Nancy Fulda:
Towards Neural Programming Interfaces. - Christopher Griffin:
A Comment on and Correction to: Opinion dynamics in the presence of increasing agreement pressure. - Christopher Bogart, James Howison, James D. Herbsleb:
Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data. - Chelsey Edge, Md Jahidul Islam, Christopher Morse, Junaed Sattar:
A Generative Approach for Detection-driven Underwater Image Enhancement. - Atefeh Keshavarzi Zafarghandi, Rineke Verbrugge, Bart Verheij:
Strong Admissibility for Abstract Dialectical Frameworks. - Mohammad Ayoub Khan:
An IoT Framework for Heart Disease Prediction based on MDCNN Classifier. - Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, Vuong Le, Simon Coghlan:
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? - Zaoxing Liu, Hun Namkung, Anup Agarwal, Antonis Manousis, Peter Steenkiste, Srinivasan Seshan, Vyas Sekar:
Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time? - Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. - Taoan Huang, Bistra Dilkina, Sven Koenig:
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. - Christian Bartelt, Sascha Marton, Heiner Stuckenschmidt:
xRAI: Explainable Representations through AI. - Liang Han, Zhaozheng Yin, Zhurong Xia, Mingqian Tang, Rong Jin:
Price Suggestion for Online Second-hand Items with Texts and Images. - Liang Han, Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin:
Vision-based Price Suggestion for Online Second-hand Items. - Bruno R. C. Magalhães, Felix Schürmann:
Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices. - Shuang Liu, Qi Tang, Xian-Zhu Tang:
A parallel cut-cell algorithm for the free-boundary Grad-Shafranov problem. - Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning. - Vincenzo Liguori:
A MAC-less Neural Inference Processor Supporting Compressed, Variable Precision Weights. - Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley:
Uncertainty-Aware Deep Calibrated Salient Object Detection. - Shangrui Wu, Chavit Denninnart, Xiangbo Li, Yang Wang, Mohsen Amini Salehi:
Descriptive and Predictive Analysis of Aggregating Functions in Serverless Clouds: the Case of Video Streaming. - Amin Fakhari, Aditya Patankar, Nilanjan Chakraborty:
Motion and Force Planning for Manipulating Heavy Objects by Pivoting. - Jinwook Huh, Volkan Isler, Daniel D. Lee:
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning. - Alberto G. Matachana, Kenneth T. Co, Luis Muñoz-González, David Martínez-Rego, Emil C. Lupu:
Robustness and Transferability of Universal Attacks on Compressed Models. - Yasas Senarath, Uthayasanker Thayasivam:
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets. - Nancy Iskander, Aurelien Simoni, Eloi Alonso, Maxim Peter:
Reinforcement Learning Agents for Ubisoft's Roller Champions. - Elisa Bertino, Finale Doshi-Velez, Maria L. Gini, Daniel Lopresti, David C. Parkes:
Artificial Intelligence & Cooperation. - Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Fahim Kawsar:
SensiX: A Platform for Collaborative Machine Learning on the Edge. - Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem:
Data-based Discovery of Governing Equations. - Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. - Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu:
Mesoscopic photogrammetry with an unstabilized phone camera. - Benedikt Boecking, Willie Neiswanger, Eric Poe Xing, Artur Dubrawski:
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. - Shichao Zhang, Jiaye Li:
KNN Classification with One-step Computation. - Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. - Ian T. Foster, David C. Parkes, Stephan Zheng:
The Rise of AI-Driven Simulators: Building a New Crystal Ball. - Yang Yu, Zhenhao Gu, Rong Tao, Jingtian Ge, Kenglun Chang:
Interactive Search Based on Deep Reinforcement Learning. - Razin Farhan Hussain, Alireza Pakravan, Mohsen Amini Salehi:
Analyzing the Performance of Smart Industry 4.0 Applications on Cloud Computing Systems. - Suresh Venkatasubramanian, Nadya Bliss, Helen Nissenbaum, Melanie Moses:
Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society. - Odest Chadwicke Jenkins, Daniel Lopresti, Melanie Mitchell:
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable. - Frederic Z. Zhang, Dylan Campbell, Stephen Gould:
Spatio-attentive Graphs for Human-Object Interaction Detection. - Krzysztof Potepa:
Faster Deterministic Modular Subset Sum. - Saeid Mehrdad, Mohammad Hossein Kahaei:
Deep Learning Approach for Matrix Completion Using Manifold Learning. - Anindya Bijoy Das, Aditya Ramamoorthy:
Coded sparse matrix computation schemes that leverage partial stragglers. - Narayan Bhusal, Mukesh Gautam:
Power System Dynamic State Estimation Using Extended and Unscented Kalman Filters. - Shaojie Tang, Jing Yuan:
Adaptive Submodular Meta-Learning. - Yukiko S. Shimizu, Eric J. Parish:
Windowed space-time least-squares Petrov-Galerkin method for nonlinear model order reduction. - Yusha Liu, Yining Wang, Aarti Singh:
Smooth Bandit Optimization: Generalization to Hölder Space. - Ben Adcock, Simone Brugiapaglia, Nick C. Dexter, Sebastian Moraga:
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data. - Xinwei Fu, Wook-Hee Kim, Ajay Paddayuru Shreepathi, Mohannad Ismail, Sunny Wadkar, Changwoo Min, Dongyoon Lee:
WITCHER : Detecting Crash Consistency Bugs in Non-volatile Memory Programs. - Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie, Ayush Tewari, Christian Theobalt, Feng Xu:
Monocular Real-time Full Body Capture with Inter-part Correlations. - Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Jerry Zhijian Yang:
Generative Learning With Euler Particle Transport. - Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Marco Di Renzo:
Fairness-Oriented Multiple RISs-Aided MmWave Transmission: Stochastic Optimization Approaches. - Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals. - Dabin Zheng, Xiaoqiang Wang, Yayao Li, Mu Yuan:
Subfield codes of linear codes from perfect nonlinear functions and their duals. - Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
EQG-RACE: Examination-Type Question Generation. - Zhongguo Li, Anders Heyden, Magnus Oskarsson:
A novel joint points and silhouette-based method to estimate 3D human pose and shape. - Haoxi Zhan, Xiaobing Pei:
I-GCN: Robust Graph Convolutional Network via Influence Mechanism. - You Li, Binli Luo, Ning Gui:
Pair-view Unsupervised Graph Representation Learning. - Erik Wijmans, Irfan Essa, Dhruv Batra:
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget. - Francisco Paiva Knebel, Juliano Araujo Wickboldt, Edison Pignaton de Freitas:
A Cloud-Fog Computing Architecture for Real-Time Digital Twins. - Ramtin Hosseini, Xingyi Yang, Pengtao Xie:
DSRNA: Differentiable Search of Robust Neural Architectures. - Haziq Razali, Basura Fernando:
A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network. - Zhihao Xia, Jason Lawrence, Supreeth Achar:
A Dark Flash Normal Camera. - Qin Wang, Jiangshan Yu, Shiping Chen, Yang Xiang:
SoK: Diving into DAG-based Blockchain Systems. - Joshua Frankie Rayo, Vena Pearl Boñgolan:
Stochastic dynamics of storm surge with stable noise. - Xin Li, Xin Jin, Tao Yu, Yingxue Pang, Simeng Sun, Zhizheng Zhang, Zhibo Chen:
Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution. - Bin Xiao, Tao Geng, Xiuli Bi, Weisheng Li:
Color-related Local Binary Pattern: A Learned Local Descriptor for Color Image Recognition. - Lingbo Yang, Zhanning Gao, Peiran Ren, Siwei Ma, Wen Gao:
Intrinsic Temporal Regularization for High-resolution Human Video Synthesis. - Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. - Rei Sato, Jun Sakuma, Youhei Akimoto:
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. - Matiss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa:
Document-aligned Japanese-English Conversation Parallel Corpus. - Mayank Gokarna, Raju Singh:
DevOps A Historical Review and Future Works. - Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang:
Exploiting Behavioral Consistence for Universal User Representation. - Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan:
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. - Hua Li, Yuheng Jia, Runmin Cong, Wenhui Wu, Sam Kwong, Chuanbo Chen:
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering. - Jianhua Li, Lingjuan Lyu, Ximeng Liu, Xuyun Zhang, Xixiang Lyu:
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT. - V. S. Rajashekhar, M. R. Vibha, Kaushik Das, Debasish Ghose:
A Robust Aerial Gripper for Passive Grasping and Impulsive Release using Scotch Yoke Mechanism. - Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu:
Improving Task-Agnostic BERT Distillation with Layer Mapping Search. - Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh:
ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Hua Chen, Bingheng Wang, Zejun Hong, Cong Shen, Patrick M. Wensing, Wei Zhang:
Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots. - Rupam Acharyya, Ankani Chattoraj, Shouman Das, Md. Iftekhar Tanveer, Ehsan Hoque:
Fairness in Rating Prediction by Awareness of Verbal and Gesture Quality of Public Speeches. - Nikhil Prakash, Kory W. Mathewson:
Conceptualization and Framework of Hybrid Intelligence Systems. - Sascha Kurz:
Classification of 8-divisible binary linear codes with minimum distance 24. - Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? - Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang:
OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research. - Samyak Jain, Pradeep Yarlagadda, Ramanathan Subramanian, Vineet Gandhi:
AViNet: Diving Deep into Audio-Visual Saliency Prediction. - Sherif Sakr, Angela Bonifati, Hannes Voigt, Alexandru Iosup, Khaled Ammar, Renzo Angles, Walid G. Aref, Marcelo Arenas, Maciej Besta, Peter A. Boncz, Khuzaima Daudjee, Emanuele Della Valle, Stefania Dumbrava, Olaf Hartig, Bernhard Haslhofer, Tim Hegeman, Jan Hidders, Katja Hose, Adriana Iamnitchi, Vasiliki Kalavri, Hugo Kapp, Wim Martens, M. Tamer Özsu, Eric Peukert, Stefan Plantikow, Mohamed Ragab, Matei Ripeanu, Semih Salihoglu, Christian Schulz, Petra Selmer, Juan F. Sequeda, Joshua Shinavier, Gábor Szárnyas, Riccardo Tommasini, Antonino Tumeo, Alexandru Uta, Ana Lucia Varbanescu, Hsiang-Yun Wu, Nikolay Yakovets, Da Yan, Eiko Yoneki:
The Future is Big Graphs! A Community View on Graph Processing Systems. - Zhongguo Li, Magnus Oskarsson, Anders Heyden:
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation. - Simeon Ball, Guillermo Gamboa, Michel Lavrauw:
On additive MDS codes over small fields. - Zhiyun Fan, Meng Li, Shiyu Zhou, Bo Xu:
Exploring wav2vec 2.0 on speaker verification and language identification. - Shervin Rasoulzadeh, Bagher BabaAli:
Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking. - Lang Nie, Chunyu Lin, Kang Liao, Yao Zhao:
Learning Edge-Preserved Image Stitching from Large-Baseline Deep Homography. - Mohammadreza Doostmohammadian, Hamid R. Rabiee:
On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition. - Lavinia De Divitiis, Federico Becattini, Claudio Baecchi, Alberto Del Bimbo:
Garment Recommendation with Memory Augmented Neural Networks. - Davide Bilò, Tobias Friedrich, Pascal Lenzner, Stefanie Lowski, Anna Melnichenko:
Selfish Creation of Social Networks. - Hengkuan Lu, Jian Wang:
A New Bound on Approximate Support Recovery. - Myoung-Ki Kim, Jeong-Hyun Cho, Ji-Hoon Jeong:
Classification of Tactile Perception and Attention on Natural Textures from EEG Signals. - Armin Okic, Lanfranco Zanzi, Vincenzo Sciancalepore, Alessandro Redondi, Xavier Costa-Pérez:
π-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios. - Hao Yang Chua, Shan Jie Yong, Kok Chin Boon, Lander Chin, Lynnette Hui Xian Ng:
KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System. - Ziad Hmwd A. Almtiri, Shah Jahan Miah:
Impact of Business technologies on the success of Ecommerce Strategies: SMEs Perspective. - Julen Urain, Davide Tateo, Tianyu Ren, Jan Peters:
Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems. - Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Improving Zero Shot Learning Baselines with Commonsense Knowledge. - Ugo Comignani, Laure Berti-Équille, Noël Novelli:
Discovering Multi-Table Functional Dependencies Without Full Join Computation. - Francisco Borges, Georgios Balikas, Marc Brette, Guillaume Kempf, Arvind Srikantan, Matthieu Landos, Darya Brazouskaya, Qianqian Shi:
Query Understanding for Natural Language Enterprise Search. - Gangtao Xin, Pingyi Fan:
Soft Compression for Lossless Image Coding. - Bohan Wang, Qi Meng, Wei Chen:
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. - Christian Requena-Mesa, Vitus Benson, Joachim Denzler, Jakob Runge, Markus Reichstein:
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts. - Andreas René Geist, Sebastian Trimpe:
Structured learning of rigid-body dynamics: A survey and unified view. - Tudor Cioara, Claudia Pop, Razvan Zanc, Ionut Anghel, Marcel Antal, Ioan Salomie:
Smart Grid Management using Blockchain: Future Scenarios and Challenges. - Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang:
One Point is All You Need: Directional Attention Point for Feature Learning. - Valentin Mendelev, Tina Raissi, Guglielmo Camporese, Manuel Giollo:
Improved Robustness to Disfluencies in RNN-Transducer Based Speech Recognition. - Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl:
Comparison of Anomaly Detectors: Context Matters. - Yu Lu, Linglong Dai:
Reconfigurable Intelligent Surface Based Hybrid Precoding for THz Communications. - Hyunji Hayley Park, Katherine J. Zhang, Coleman Haley, Kenneth Steimel, Han Liu, Lane Schwartz:
Morphology Matters: A Multilingual Language Modeling Analysis. - Alyssa Shuang Sha, Yingnan Shi, Armin Haller:
How question quality drives Web performance in community question answering sites. - Davide Ginelli, Matias Martinez, Leonardo Mariani, Martin Monperrus:
A Comprehensive Study of Code-removal Patches in Automated Program Repair. - Xiao Gao, João Silvério, Emmanuel Pignat, Sylvain Calinon, Miao Li, Xiaohui Xiao:
Motion Mappings for Continuous Bilateral Teleoperation. - Zhe Lin, Sharad Sinha, Wei Zhang:
Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System. - Rui Kato, Ahmet Cetinkaya, Hideaki Ishii:
Linearization-Based Quantized Stabilization of Nonlinear Systems Under DoS Attacks. - Damir Korencic, Strahil Ristov, Jelena Repar, Jan Snajder:
A Topic Coverage Approach to Evaluation of Topic Models. - Wen-Hua Chen, Callum Rhodes, Cunjia Liu:
Dual Control for Exploitation and Exploration (DCEE) in Autonomous Search. - Derrick Timmerman, Guru Swaroop Bennabhaktula, Enrique Alegre, George Azzopardi:
Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet. - Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki:
Unsupervised Learning of slow features for Data Efficient Regression. - Robert Müller, Steffen Illium, Fabian Ritz, Tobias Schröder, Christian Platschek, Jörg Ochs, Claudia Linnhoff-Popien:
Acoustic Leak Detection in Water Networks. - Mohammad Dashti, Alexandra Fedorova:
Trash Talk: Accelerating Garbage Collection on Integrated GPUs is Worthless. - Robert Müller, Steffen Illium, Fabian Ritz, Kyrill Schmid:
Analysis of Feature Representations for Anomalous Sound Detection. - Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian:
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. - Frederik Mallmann-Trenn, Matthew Cavorsi, Stephanie Gil:
Crowd Vetting: Rejecting Adversaries via Collaboration-with Application to Multi-Robot Flocking. - Mingchuan Zhou, Jiahao Wu, Ali Ebrahimi, Niravkumar A. Patel, Changyan He, Peter Gehlbach, Russell H. Taylor, Alois C. Knoll, M. Ali Nasseri, Iulian Iordachita:
Spotlight-based 3D Instrument Guidance for Retinal Surgery. - Loïc Miller, Pascal Mérindol, Antoine Gallais, Cristel Pelsser:
Towards Secure and Leak-Free Workflows Using Microservice Isolation. - Latif Salum:
Tractability of One-in-three 3SAT: P = NP. - Simon Gottschalk, Elena Demidova:
EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph. - Weidi Wang, Zeyuan Wang, Yinghui Zhang, Bo Sun, Ke Xia:
Learning Order Parameters from Videos of Dynamical Phases for Skyrmions with Neural Networks. - Parsa Sarosh, Shabir A. Parah, Romany F. Mansur, Ghulam Mohiuddin Bhat:
Artificial Intelligence for COVID-19 Detection - A state-of-the-art review. - Ibrahim Yusuf, George Igwegbe, Oluwafemi Azeez:
Differentiable Histogram with Hard-Binning. - Signe Riemer-Sørensen, Gjert Hovland Rosenlund:
Deep Reinforcement Learning for Long Term Hydropower Production Scheduling. - Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein:
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. - Sirin Haddad, Siew-Kei Lam:
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction. - Le Trung Hieu:
Deep Reinforcement Learning for Stock Portfolio Optimization. - Alex Bäuerle, Raphael Störk, Timo Ropinski:
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration. - Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder:
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. - Ayush Goel:
An Empirical Review of Adversarial Defenses. - Jakob Hansen, Thomas Gebhart:
Sheaf Neural Networks. - Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. - Alex James:
The Why, What and How of Artificial General Intelligence Chip Development. - Kenny Zhuo Ming Lu:
Control Flow Obfuscation for FJ using Continuation Passing. - Antônio H. Ribeiro, Johannes N. Hendriks, Adrian G. Wills, Thomas B. Schön:
Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. - Raffaele Marino:
Learning from Survey Propagation: a Neural Network for MAX-E-3-SAT. - Teguh Santoso Lembono, Sylvain Calinon:
Probabilistic Iterative LQR for Short Time Horizon MPC. - Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis:
Privacy-preserving medical image analysis. - Miles E. Hansard, Radu Horaud:
Cyclopean Geometry of Binocular Vision. - Peter Bugata, Peter Drotár:
Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints. - Yuhao Zhou, Ruijie Wang, Yi-Cheng Zhang, An Zeng, Matús Medo:
Limits of PageRank-based ranking methods in sports data. - Sarah Winkler, Georg Moser:
Runtime Complexity Analysis of Logically Constrained Rewriting. - Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment. - José E. Adsuara, Adrián Pérez-Suay, Jordi Muñoz-Marí, Anna Mateo-Sanchis, Maria Piles, Gustau Camps-Valls:
Nonlinear Distribution Regression for Remote Sensing Applications. - Dana Kianfar, Auke J. Wiggers, Amir Said, Reza Pourreza, Taco Cohen:
Parallelized Rate-Distortion Optimized Quantization Using Deep Learning. - Daniil Stepanov, Marat Akhin, Mikhail A. Belyaev:
Type-Centric Kotlin Compiler Fuzzing: Preserving Test Program Correctness by Preserving Types. - Alex Halle, Lucio Flavio Campanile, Alexander Hasse:
An AI-Assisted Design Method for Topology Optimization Without Pre-Optimized Training Data. - Sami Akin:
Energy Management in Wireless Communications with Energy Storage Imperfections. - William Paul, Armin Hadzic, Neil Joshi, Philippe Burlina:
RENATA: REpreseNtation And Training Alteration for Bias Mitigation. - Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning. - Suryanarayana Maddu, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini:
Learning physically consistent mathematical models from data using group sparsity. - Giulia De Pasquale, Yvonne R. Sturz, Maria Elena Valcher, Roy S. Smith:
Extended Full Block S-Procedure for Distributed Control of Interconnected Systems. - Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Spatial Temporal Transformer Network for Skeleton-based Action Recognition. - Noor H. Awad, Neeratyoy Mallik, Frank Hutter:
Differential Evolution for Neural Architecture Search. - Nathan Drenkow, Neil Fendley, Philippe Burlina:
Random Projections for Adversarial Attack Detection. - Onur Akgün, Kamil Canberk Atik, Mustafa Erdem, Mehmetcan Kaymaz, Bugrahan Yamak, N. Kemal Ure:
Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning. - Matthias Hofer, Carmelo Sferrazza, Raffaello D'Andrea:
A Vision-based Sensing Approach for a Spherical Soft Robotic Arm. - A. M. P. G. Vale, Mariano Ucchesu, Cecilia Di Ruberto, Andrea Loddo, J. M. Soares, Gianluigi Bacchetta:
A new automatic approach to seed image analysis: From acquisition to segmentation. - Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie:
Market2Dish: Health-aware Food Recommendation. - Ye Li, Kangning Yin, Jie Liang, Chunyu Wang, Guangqiang Yin:
A Multi-task Joint Framework for Real-time Person Search. - Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar:
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? - Toru Nakanishi, Norikazu Saito:
A mass-lumping finite element method for radially symmetric solution of a multidimensional semilinear heat equation with blow-up. - Christos Kyrkou:
Imitation-Based Active Camera Control with Deep Convolutional Neural Network. - Mimee Xu, Laurens van der Maaten, Awni Y. Hannun:
Data Appraisal Without Data Sharing. - René Haas, Leon Derczynski:
Discriminating Between Similar Nordic Languages. - Itamar Cohen:
Advanced Algorithms in Heterogeneous and Uncertain Networking Environments. - Yifan Wang, Shihao Wu, A. Cengiz Öztireli, Olga Sorkine-Hornung:
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations. - Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. - Hyun Ju Go:
Learnable and time-reversible cellular automata with holography principle. - Yang Liu, Alexandros Neophytou, Sunando Sengupta, Eric Sommerlade:
Relighting Images in the Wild with a Self-Supervised Siamese Auto-Encoder. - Xiufeng Liu, Rongling Li, Yi Wang, Per Sieverts Nielsen:
SEGSys: A mapping system for segmentation analysis in energy. - Piotr Kicki, Mete Ozay, Piotr Skrzypczynski:
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups. - Subhodip Biswas, Adam D. Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian:
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. - Marko Vidoni, Ivan Vulic, Goran Glavas:
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer. - Federica Freddi, Jezabel R. Garcia, Michael Bromberg, Sepehr Jalali, Da-Shan Shiu, Alvin Chua, Alberto Bernacchia:
Cyclic orthogonal convolutions for long-range integration of features. - Amee Trivedi, Deepak Vasisht:
Digital Contact Tracing: Technologies, Shortcomings, and the Path Forward. - Dor Elimelech, Marcelo Firer, Moshe Schwartz:
The Generalized Covering Radii of Linear Codes. - Maurice Laveaux, Tim A. C. Willemse:
Decompositional Minimisation of Monolithic Processes. - Indra Deep Mastan, Shanmuganathan Raman:
DILIE: Deep Internal Learning for Image Enhancement. - Ali Raza, Hafiz Saud Arshad:
Prediction of Hemolysis Tendency of Peptides using a Reliable Evaluation Method. - Michèle Weiland, Bernhard Homölle:
Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing. - Alessandro Zonta, Selmar K. Smit, A. E. Eiben:
Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features. - Viktor Rudnev, Vladislav Golyanik, Jiayi Wang, Hans-Peter Seidel, Franziska Mueller, Mohamed Elgharib, Christian Theobalt:
EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream. - Chris Mazur, Jesse Ayers, Gaétan Hains, Youry Khmelevsky:
Machine Learning Prediction of Gamer's Private Networks. - Chinedu Pascal Ezenkwu, Andrew J. Starkey:
Technical Opinion: From Animal Behaviour to Autonomous Robots. - Ivar Stefansson, Eirik Keilegavlen, Sæunn Halldórsdóttir, Inga Berre:
Numerical modelling of convection-driven cooling, deformation and fracturing of thermo-poroelastic media. - Hongming Li, Yong Fan:
Unsupervised deep learning for individualized brain functional network identification. - Indra Deep Mastan, Shanmuganathan Raman:
DeepObjStyle: Deep Object-based Photo Style Transfer. - Suzan Ali, Mounir Elgharabawy, Quentin Duchaussoy, Mohammad Mannan, Amr M. Youssef:
Betrayed by the Guardian: Security and Privacy Risks of Parental Control Solutions. - Ahmed Khanfir, Anil Koyuncu, Mike Papadakis, Maxime Cordy, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
IBIR: Bug Report driven Fault Injection. - Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. - Nathan Drenkow, Philippe Burlina, Neil Fendley, Kachi Odoemene, Jared Markowitz:
Objectness-Guided Open Set Visual Search and Closed Set Detection. - David A. Kopriva, Gregor J. Gassner:
A Split-Form, Stable CG/DG-SEM for Wave Propagation Modeled by Linear Hyperbolic Systems. - Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang:
Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search. - Bonny Banerjee:
String Tightening as a Self-Organizing Phenomenon: Computation of Shortest Homotopic Path, Smooth Path, and Convex Hull. - Hamid Sarmadi, Rafael Muñoz-Salinas, Miguel A. Olivares-Méndez, Rafael Medina Carnicer:
Detection of Binary Square Fiducial Markers Using an Event Camera. - Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit:
Online Coresets for Clustering with Bregman Divergences. - Jan Kronenberger, Anselm Haselhoff:
Dependency Decomposition and a Reject Option for Explainable Models. - Alberto Marchesi, Nicola Gatti:
Trembling-Hand Perfection and Correlation in Sequential Games. - André Hirschowitz, Tom Hirschowitz, Ambroise Lafont:
Modules over monads and operational semantics. - Ning Xue, Ruibin Bai, Rong Qu, Uwe Aickelin:
A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem. - Dariusz Stolicki, Stanislaw Szufa, Nimrod Talmon:
Pabulib: A Participatory Budgeting Library. - Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. - Bernat Esquirol, Luce Prignano, Albert Díaz-Guilera, Emanuele Cozzo:
Characterizing Twitter users behaviour during the Spanish Covid-19 first wave. - Robert Krahn, Donald Dragoti, Franz Gregor, Do Le Quoc, Valerio Schiavoni, Pascal Felber, Clenimar Souza, Andrey Brito, Christof Fetzer:
TEEMon: A continuous performance monitoring framework for TEEs. - Srinjoy Roy, Saptam Bakshi, Tamal Maharaj:
OPAC: Opportunistic Actor-Critic. - Ugo Rosolia, Andrew Singletary, Aaron D. Ames:
Unified Multi-Rate Control: from Low Level Actuation to High Level Planning. - Pavel Naumov, Kevin Ros:
Comprehension and Knowledge. - Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fiérrez, Juan Rafael Orozco-Arroyave:
Exploring Facial Expressions and Affective Domains for Parkinson Detection. - Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li:
A Comprehensive Study of Deep Video Action Recognition. - Xuwang Yin, Shiying Li, Gustavo K. Rohde:
Analyzing and Improving Generative Adversarial Training for Generative Modeling and Out-of-Distribution Detection. - Robin Chan, Matthias Rottmann, Hanno Gottschalk:
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation. - Harrie Oosterhuis:
Learning from User Interactions with Rankings: A Unification of the Field. - Tapio Helin, Remo Kretschmann:
Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. - Arkaitz Zubiaga:
TF-CR: Weighting Embeddings for Text Classification. - Jan Verschelde:
Parallel Software to Offset the Cost of Higher Precision. - James K. Holland, Nicholas Hopper:
RegulaTOR: A Powerful Website Fingerprinting Defense. - Hairi, Xin Liu, Lei Ying:
Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic. - Meriel von Stein, Sebastian G. Elbaum, Lu Feng, Shili Sheng:
Probabilistic Conditional System Invariant Generation with Bayesian Inference. - Fleurianne Bertrand, Daniele Boffi, Henrik Schneider:
DPG approximation of eigenvalue problems. - Zuoyue Li, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys:
Street-view Panoramic Video Synthesis from a Single Satellite Image. - Igor Tsukerman:
Trefftz Functions for Nonlocal Electrostatics. - Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko:
Regularizing Action Policies for Smooth Control with Reinforcement Learning. - Andrew T. Kassen, Varun Shankar, Aaron L. Fogelson:
A fine-grained parallelization of the immersed boundary method. - Manyi Li, Hao Zhang:
D2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images. - Sophia Epstein, Pavel Naumov:
Epistemic Logic of Know-Who. - Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Davide Torre, Lena Rebecca Zastrow:
A Model for Urban Social Networks. - Siddharth Mysore, Bassel Mabsout, Kate Saenko, Renato Mancuso:
How to Train your Quadrotor: A Framework for Consistently Smooth and Responsive Flight Control via Reinforcement Learning. - Pietro Borrello, Emilio Coppa, Daniele Cono D'Elia:
Hiding in the Particles: When Return-Oriented Programming Meets Program Obfuscation. - Wenhao Yu, C. Karen Liu, Greg Turk:
Protective Policy Transfer. - Mohammad Khodaei, Panos Papadimitratos:
Cooperative Location Privacy in Vehicular Networks: Why Simple Mix-zones are not Enough. - Kelvin K. Kan, James G. Nagy, Lars Ruthotto:
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. - Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig:
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning. - Mohammed Rashid, Mort Naraghi-Pour:
Clustered Sparse Channel Estimation for Massive MIMO Systems by Expectation Maximization-Propagation (EM-EP). - Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin:
TabTransformer: Tabular Data Modeling Using Contextual Embeddings. - John Burge, Matthew Bonanni, Matthias Ihme, R. Lily Hu:
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics. - Edith Elkind, Erel Segal-Halevi, Warut Suksompong:
Mind the Gap: Cake Cutting With Separation. - Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh:
Cortex: Harnessing Correlations to Boost Query Performance. - Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa:
Faster Policy Learning with Continuous-Time Gradients. - Ankit Singhal, Wei Du, Thanh Long Vu:
Coordinated Frequency and Voltage Regulation of Grid-Following and Grid-Forming Inverters. - Raymond Anneborg:
Computing Machinery and Knowledge. - Zefang Liu:
Yelp Review Rating Prediction: Machine Learning and Deep Learning Models. - Shima Rahimi Moghaddam, Fanjun Bu, Christopher J. Honey:
Learning Representations from Temporally Smooth Data. - Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan:
Generating Adversarial Disturbances for Controller Verification. - Yuhao Zhou, Qing Ye, Jiancheng Lv:
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg. - Anna-Maria Gueorguieva, Gulnar Rakhmetulla, Ahmed Sabbir Arif:
Enabling Input on Tiny/Headless Systems Using Morse Code. - Rongye Meng, Sanping Zhou, Xingyu Wan, Mengliu Li, Jinjun Wang:
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection. - Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo, Mostafa Rahimi Azghadi:
Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey. - Sami Davies, Miklós Z. Rácz, Cyrus Rashtchian, Benjamin G. Schiffer:
Approximate Trace Reconstruction. - Hsiang-Yun Sherry Chien, Jinhan Zhang, Christopher J. Honey:
Mapping the Timescale Organization of Neural Language Models. - Gabriel Hope, Madina Abdrakhmanova, Xiaoyin Chen, Michael C. Hughes, Erik B. Sudderth:
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints. - Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille:
Mask Guided Matting via Progressive Refinement Network. - Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan:
On Duality Gap as a Measure for Monitoring GAN Training. - Rajashekhar V. S, Rokesh Laishram, Kaushik Das, Debasish Ghose:
Synthesis of a Six-Bar Gripper Mechanism for Aerial Grasping. - Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying:
Solving for high dimensional committor functions using neural network with online approximation to derivatives. - Robin M. E. Swezey, Aditya Grover, Bruno Charron, Stefano Ermon:
PiRank: Learning To Rank via Differentiable Sorting. - Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Human-in-the-Loop Imitation Learning using Remote Teleoperation. - Yuliang Guo, Zhong Li, Zekun Li, Xiangyu Du, Shuxue Quan, Yi Xu:
PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image. - Yu Yin, Joseph P. Robinson, Yun Fu:
Multimodal In-bed Pose and Shape Estimation under the Blankets. - Zijian Kuang, Xinran Tie:
Computer Vision and Normalizing Flow Based Defect Detection. - Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. - Sandeep Chinchali, Evgenya Pergament, Manabu Nakanoya, Eyal Cidon, Edward Zhang, Dinesh Bharadia, Marco Pavone, Sachin Katti:
Sampling Training Data for Continual Learning Between Robots and the Cloud. - Xiaoying Wang, Changbo Qu, Weiyuan Wu, Jiannan Wang, Qingqing Zhou:
Are We Ready For Learned Cardinality Estimation? - Yoon Gyo Jung, Jaewoo Park, Cheng-Yaw Low, Leslie Ching Ow Tiong, Andrew Beng Jin Teoh:
Periocular in the Wild Embedding Learning with Cross-Modal Consistent Knowledge Distillation. - Elliot Anshelevich, Zack Fitzsimmons, Rohit Vaish, Lirong Xia:
Representative Proxy Voting. - Vidhur Kumar, Andrew Szidon:
Efficient Incorporation of Multiple Latency Targets in the Once-For-All Network. - Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. - Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim, Seong-Whan Lee:
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch. - Yichao Luo, Zhengyan Li, Bingning Wang, Xiaoyu Xing, Qi Zhang, Xuanjing Huang:
SenSeNet: Neural Keyphrase Generation with Document Structure. - Davide Buffelli, Fabio Vandin:
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings. - Jinraj V. Pushpangathan, Harikumar Kandath, Suresh Sundaram, Narasimhan Sundararajan:
Gap Reduced Minimum Error Robust Simultaneous Estimation For Unstable Nano Air Vehicle. - Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu:
Query-free Black-box Adversarial Attacks on Graphs. - Pascal Nasahl, Robert Schilling, Mario Werner, Jan Hoogerbrugge, Marcel Medwed, Stefan Mangard:
CrypTag: Thwarting Physical and Logical Memory Vulnerabilities using Cryptographically Colored Memory. - Sergio Naval Marimont, Giacomo Tarroni:
Anomaly detection through latent space restoration using vector-quantized variational autoencoders. - Vasily Repnikov, Boris Faleichik, Andrey Moysa:
Stabilized explicit Adams-type methods. - Georgios D. Evangelidis, Miles E. Hansard, Radu Horaud:
Fusion of Range and Stereo Data for High-Resolution Scene-Modeling. - Radu Horaud, Miles E. Hansard, Georgios Evangelidis, Clément Ménier:
An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies. - Andrea Di Domenico, Gianluca Perna, Martino Trevisan, Luca Vassio, Danilo Giordano:
A network analysis on cloud gaming: Stadia, GeForce Now and PSNow. - Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. - Olaf Beyersdorff, Joshua Blinkhorn, Meena Mahajan, Tomás Peitl, Gaurav Sood:
Hard QBFs for Merge Resolution. - Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
GDPNet: Refining Latent Multi-View Graph for Relation Extraction. - Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng:
DETR for Pedestrian Detection. - Umang Bhaskar, A. R. Sricharan, Rohit Vaish:
On Approximate Envy-Freeness for Indivisible Chores and Mixed Resources. - Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi:
Knowledge Capture and Replay for Continual Learning. - Charilaos Mylonas, George Tsialiamanis, Keith Worden, Eleni N. Chatzi:
Bayesian graph neural networks for strain-based crack localization. - Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng:
Fine-grained Classification via Categorical Memory Networks. - Srinivas Anumasa, P. K. Srijith:
Delay Differential Neural Networks. - Li Zeng, Yan Jiang, Weixin Lu, Lei Zou:
Deep Analysis on Subgraph Isomorphism. - Yujia Wang, Tong Wang, Jiae Yang, Xuebo Yang:
A Novel Method. - Wesley Joon-Wie Tann, Jackie Tan Jin Wei, Joanna Purba, Ee-Chien Chang:
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning. - Laijin Meng, Xinghao Jiang, Zhenzhen Zhang, Zhaohong Li, Tanfeng Sun:
Coverless Video Steganography based on Maximum DC Coefficients. - Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan:
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions. - Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang:
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation. - Fangqi Li:
Evaluation and Comparison of Diffusion Models with Motif Features. - Markus Borg, Raja Ben Abdessalem, Shiva Nejati, François-Xavier Jegeden, Donghwan Shin:
Digital Twins Are Not Monozygotic - Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators. - Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu:
R-Hero: A Software Repair Bot based on Continual Learning. - Luca Bottero, Francesco Calisto, Giovanni Graziano, Valerio Pagliarino, Martina Scauda, Sara Tiengo, Simone Azeglio:
Physics-Informed Machine Learning Simulator for Wildfire Propagation. - Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Ke Wei:
Image Restoration: Structured Low Rank Matrix Framework for Piecewise Smooth Functions and Beyond. - Duc Van Le, Rongrong Wang, Yingbo Liu, Rui Tan, Yew-Wah Wong, Yonggang Wen:
Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control. - Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Giuseppe Tagliavini, Andrea Acquaviva:
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers. - Almabrok E. Essa, Vijayan K. Asari:
High Order Local Directional Pattern Based Pyramidal Multi-structure for Robust Face Recognition. - Jeffrey O. Shallit:
String Attractors for Automatic Sequences. - Can Zhang, Hong Liu, Wei Guo, Mang Ye:
Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification. - Yifan Xu, Pan Xu, Jianping Pan, Jun Tao:
A Unified Model for the Two-stage Offline-then-Online Resource Allocation. - Zana Buçinca, Yucel Yemez, Engin Erzin, T. Metin Sezgin:
AffectON: Incorporating Affect Into Dialog Generation. - Yifan Xu, Pan Xu:
Trading the System Efficiency for the Income Equality of Drivers in Rideshare. - Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. - Sarah Allahmoradi, Mohsen Parsa Moghaddam, Salah Bahramara, Pouria Sheikhahmadi:
Flexibility-constrained Operation Scheduling of Active Distribution Networks with Microgrids. - David Mallasén Quintana, Alberto Antonio Del Barrio García, Manuel Prieto-Matías:
LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs. - Savas Özkan, Gozde Bozdagi Akar:
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss. - Yung-Lin Hsu, Chen-Feng Liu, Sumudu Samarakoon, Hung-Yu Wei, Mehdi Bennis:
Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach. - Wilfried Meidl, Alexandr A. Polujan, Alexander Pott:
Linear codes and incidence structures of bent functions and their generalizations. - Arsha Nagrani, Joon Son Chung, Jaesung Huh, Andrew Brown, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A. Reynolds, Andrew Zisserman:
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge. - Ludvig af Klinteberg, Chiara Sorgentone, Anna-Karin Tornberg:
Quadrature error estimates for layer potentials evaluated near curved surfaces in three dimensions. - Franz J. Brandenburg:
Book Embeddings of k-Map Graphs. - Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel:
AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases. - Utkarsh Uppal, Bharat Giddwani:
Normalized Label Distribution: Towards Learning Calibrated, Adaptable and Efficient Activation Maps. - Muhammad Fayaz, Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
Transmit Power Pool Design for Grant-Free NOMA-IoT Networks via Deep Reinforcement Learning. - Mordechai Guri:
AIR-FI: Generating Covert Wi-Fi Signals from Air-Gapped Computers. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
A new framework for building and decoding group codes. - Jonathan Frankle:
Revisiting "Qualitatively Characterizing Neural Network Optimization Problems". - Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott E. Reed, Serkan Cabi, Nando de Freitas:
Semi-supervised reward learning for offline reinforcement learning. - Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He:
GAN-based Recommendation with Positive-Unlabeled Sampling. - Wang Zhou, Levente J. Klein, Siyuan Lu:
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data. - Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models. - Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini:
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation. - Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue:
NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis. - Aditya Singh, Alessandro Bay, Andrea Mirabile:
Assessing The Importance Of Colours For CNNs In Object Recognition. - Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans:
Offline Policy Selection under Uncertainty. - Junjun Yin, Guangqing Chi:
Characterizing People's Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data. - Gang Chen:
Learning Symbolic Expressions via Gumbel-Max Equation Learner Network. - Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang:
Decimated Framelet System on Graphs and Fast G-Framelet Transforms. - Marko Kabic, Gabriel Duque López, Daniel Keller:
A Refined SVD Algorithm for Collaborative Filtering. - Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi:
Warm Starting CMA-ES for Hyperparameter Optimization. - Jinsong Zhang, Xingzi Liu, Kun Li:
Human Pose Transfer by Adaptive Hierarchical Deformation. - Filánder A. Sequeira, Helen Guillén-Oviedo:
Some aspects on the computational implementation of diverse terms arising in mixed virtual element formulations. - Snehasish Mukherjee, Phaniram Sayapaneni, Shankar Subramanya:
Discriminative Pre-training for Low Resource Title Compression in Conversational Grocery. - Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang, Xiujun Li, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
MiniVLM: A Smaller and Faster Vision-Language Model. - Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung:
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. - Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang:
Attentional Biased Stochastic Gradient for Imbalanced Classification. - Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò:
MEME: Generating RNN Model Explanations via Model Extraction. - Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis:
Learn-Prune-Share for Lifelong Learning. - Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy:
Open-World Class Discovery with Kernel Networks. - Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li:
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. - Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang:
Online Stochastic Optimization with Wasserstein Based Non-stationarity. - Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. - Sabirat Rubya, Joseph Numainville, Svetlana Yarosh:
Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use Disorders. - Zhixin Qi, Hongzhi Wang, Haoran Zhang:
A Dual-Store Structure for Knowledge Graphs. - Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. - Changhe Song, Jingbei Li, Yixuan Zhou, Zhiyong Wu, Helen M. Meng:
Syntactic representation learning for neural network based TTS with syntactic parse tree traversal. - Chirag Kyal:
Spontaneous Emotion Recognition from Facial Thermal Images. - Noor Ali Al-Athba Al-Marri, Bekir Sait Ciftler, Mohamed M. Abdallah:
Federated Mimic Learning for Privacy Preserving Intrusion Detection. - Wenhao Wu, Dongliang He, Tianwei Lin, Fu Li, Chuang Gan, Errui Ding:
MVFNet: Multi-View Fusion Network for Efficient Video Recognition. - Taekang Eom, Seungjun Lee, Hee-Kap Ahn:
Largest similar copies of convex polygons amidst polygonal obstacles. - Shachar Schnapp, Sivan Sabato:
Active Feature Selection for the Mutual Information Criterion. - Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia:
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. - Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran:
Fine-Grained Lineage for Safer Notebook Interactions. - Arash Moradzadeh, Kazem Pourhossein, Behnam Mohammadi-Ivatloo, Tohid Khalili, Ali Bidram:
Radial Deformation Emplacement in Power Transformers Using Long Short-Term Memory Networks. - Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label-Efficient Semantic Segmentation. - Sepanta Zeighami, Cyrus Shahabi, John Krumm:
Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling. - Anees Al-Najjar, Furqan Hameed Khan, Marius Portmann:
Network Traffic Control for Multi-homed End-hosts via SDN. - Bo Yang, Xuelin Cao, Kai Xiong, Chau Yuen, Yong Liang Guan, Supeng Leng, Lijun Qian, Zhu Han:
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions. - Xinying Ma, Zhi Chen, Wenjie Chen, Yaojia Chi, Longfei Yan, Chong Han, Shaoqian Li:
Joint Hardware Design and Capacity Analysis for Intelligent Reflecting Surface Enabled Terahertz MIMO Communications. - Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. - Dandan Song, Siyi Ma, Zhanchen Sun, Sicheng Yang, Lejian Liao:
KVL-BERT: Knowledge Enhanced Visual-and-Linguistic BERT for Visual Commonsense Reasoning. - Yanlin Ma, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li:
Effective multi-view registration of point sets based on student's t mixture model. - Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu:
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. - Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili:
Predicting Software Effort from Use Case Points: A Systematic Review. - Yi Zeng, Han Qiu, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham:
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation. - Xiaodong Cun, Chi-Man Pun:
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal. - Yanqi Liu, Zhigang Li, Wei Wei, Jiehui Zheng:
Data-Driven Dispatchable Regions with Valid Boundaries for Renewable Power Generation: Concept and Construction. - Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion. - Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. - Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. - Florentin Rauscher, Oliver Sawodny:
Efficient Online Trajectory Planning for Integrator Chain Dynamics using Polynomial Elimination. - Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang:
Statistical CSI-based Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Direct Links. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural network approaches to point lattice decoding. - Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan'an Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun:
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. - Michael Beyer, Andrey Morozov, Emil Valiev, Christoph Schorn, Lydia Gauerhof, Kai Ding, Klaus Janschek:
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs. - Christina Petschnigg, Jürgen Pilz:
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning. - Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. - Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang:
One-Shot Object Localization in Medical Images based on Relative Position Regression. - Sunny Katyara, Fanny Ficuciello, Fei Chen, Bruno Siciliano, Darwin G. Caldwell:
Vision Based Adaptation to Kernelized Synergies for Human Inspired Robotic Manipulation. - Siwei Wang, Haoyun Wang, Longbo Huang:
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. - Kun Li, Jinsong Zhang, Yebin Liu, Yu-Kun Lai, Qionghai Dai:
PoNA: Pose-guided Non-local Attention for Human Pose Transfer. - Prabhu Kaliyammal Thiruvasagam, Vijeth J. Kotagi, C. Siva Ram Murthy:
A Reliability-Aware, Delay Guaranteed, and Resource Efficient Placement of Service Function Chains in Softwarized 5G Networks. - Jonathan Lacotte, Mert Pilanci:
Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds. - Marcelo Bortolozzo, Rodrigo Schramm, Cláudio R. Jung:
Improving the Classification of Rare Chords with Unlabeled Data. - Mrinal Kumar, C. Ramya, Ramprasad Saptharishi, Anamay Tengse:
If VNP is hard, then so are equations for it. - Vineet Nair, Vishakha Patil, Gaurav Sinha:
Budgeted and Non-budgeted Causal Bandits. - Ji Han, Serhad Sarica, Feng Shi, Jianxi Luo:
Semantic Networks for Engineering Design: A Survey. - Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. - Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. - Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. - Mohamed Afifi, Yara Ali, Karim Amer, Mahmoud Shaker, Mohamed ElHelw:
Robust Real-Time Pedestrian Detection on Embedded Devices. - Wael Farhan, Muhy Eddin Za'ter, Qusai Abu Obaidah, Hisham al Bataineh, Zyad Sober, Hussein T. Al-Natsheh:
SPARTA: Speaker Profiling for ARabic TAlk. - Margarida Carvalho, Andrea Lodi, João Pedro Pedroso:
Computing Nash equilibria for integer programming games. - Nicola Guglielmi, María López-Fernández, Mattia Manucci:
Pseudospectral roaming contour integral methods for convection-diffusion equations. - Wenqiang Zhang, Jiemin Fang, Xinggang Wang, Wenyu Liu:
EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search. - Ninghan Chen, Zhiqiang Zhong, Jun Pang:
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects. - Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi:
Reinforcement Learning with Subspaces using Free Energy Paradigm. - Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, Pranava Madhyastha, Lucia Specia:
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish. - Kun Zhang, Rui Wu, Ping Yao, Kai Deng, Ding Li, Renbiao Liu, Chuanguang Yang, Ge Chen, Min Du, Tianyao Zheng:
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation. - Weiqin Xu, Olivier Curé, Philippe Calvez:
Knowledge Graph Management on the Edge. - Marco Schreyer, Christian Schulze, Damian Borth:
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. - Moumita Mondal, Sruti Gan Chaudhuri, Punyasha Chatterjee:
Uniform Scattering of Robots on Alternate Nodes of a Grid. - Moumita Mondal, Sruti Gan Chaudhuri, Ayan Dutta, Krishnendu Mukhopadhyaya, Punyasha Chatterjee:
Uniform Circle Formation By Oblivious Swarm Robots. - Giang Dao, Minwoo Lee:
Demysifying Deep Neural Networks Through Interpretation: A Survey. - Luis A. Pineda, Noé Hernández, Arturo Rodríguez, Ricardo Cruz Mendoza, Gibrán Fuentes:
Deliberative and Conceptual Inference in Service Robots. - Jie Yang, Yong Shi, Zhiquan Qi:
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. - Emanuela Haller, Adina Magda Florea, Marius Leordeanu:
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos. - Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W. H. Lau:
Location-aware Single Image Reflection Removal. - Rajni Dabas, Neelima Gupta, Sapna Grover:
Uniform Capacitated Facility Location Problems with Penalties/Outliers. - Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth:
Learning Contextual Causality from Time-consecutive Images. - David Dodel, Michael Schötz, Niclas Vödisch:
FSOCO: The Formula Student Objects in Context Dataset. - Rafa Prado, Wendy Galeno, Kiev Gama, Gustavo Pinto:
How Trans-Inclusive are Hackathons? - Wenquan Liang, Yanfei Wang, Ursula Iturrarán-Viveros:
A non-balanced staggered-grid finite-difference scheme for the first-order elastic wave-equation modeling. - Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley:
Learning to Schedule Halide Pipelines for the GPU. - Andras Farago:
On Non-Markovian Performance Models. - Chi Chen, Maosong Sun, Yang Liu:
Mask-Align: Self-Supervised Neural Word Alignment. - Maksim Levental, Elena Orlova:
Comparing the costs of abstraction for DL frameworks. - Ömer Sahin Tas, Felix Hauser, Christoph Stiller:
Decision-Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering. - Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen:
A Memory-Augmented Neural Network Model of Abstract Rule Learning. - Song Tian:
Cover attacks for elliptic curves with prime order. - Lang Su, Chuqing Hu, Guofa Li, Dongpu Cao:
MSAF: Multimodal Split Attention Fusion. - Reza Esfandiarpoor, Mohsen Hajabdollahi, Stephen H. Bach:
Pseudo Shots: Few-Shot Learning with Auxiliary Data. - Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. - Harish Naik, György Turán:
Explanation from Specification. - Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zhe Lin, Alan L. Yuille:
Meticulous Object Segmentation. - Beomyeol Jeon, S. M. Ferdous, Muntasir Raihan Rahman, Anwar Walid:
Privacy-preserving Decentralized Aggregation for Federated Learning. - Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. - Qi Zhang, Edmund H. Durfee, Satinder Singh:
Efficient Querying for Cooperative Probabilistic Commitments. - Mohannad Alhanahnah:
Software Quality Assessment for Robot Operating System. - Jake Tuero, Michael Buro:
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions. - Francisco Revson Fernandes Pereira, Stefano Mancini:
Polar Codes for Quantum Reading. - Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan:
On Convergence of Gradient Expected Sarsa(λ). - Jonathan W. Siegel, Jinchao Xu:
High-Order Approximation Rates for Neural Networks with ReLUk Activation Functions. - Shuqiao Jia, Behnaam Aazhang:
Reversing the Curse of Densification in mmWave Networks Through Spatial Multiplexing. - Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. - Shangsen Li, Lailong Luo, Deke Guo:
Sketch for traffic measurement: design, optimization, application and implementation. - Yunlong Cai, Ming-Min Zhao, Kaidi Xu, Rui Zhang:
Intelligent Reflecting Surface Aided Full-Duplex Communication: Passive Beamforming and Deployment Design. - Mingqi Yang, Yanming Shen, Heng Qi, Baocai Yin:
Breaking the Expressive Bottlenecks of Graph Neural Networks. - Hanoch Lev-Ari, Yariv Ephraim, Brian L. Mark:
Traffic Rate Network Tomography with Higher-Order Cumulants. - Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Incremental Data-driven Optimization of Complex Systems in Nonstationary Environments. - Alya Hannah Ahmad Kamal, Caryn Chuah Yi Yen, Gan Jia Hui, Pang Sze Ling, Fatima-tuz-Zahra:
Risk Assessment, Threat Modeling and Security Testing in SDLC. - Lei Li, Minghe Xue, Huanhuan Chen, Xindong Wu:
Trustworthy Preference Completion in Social Choice. - Benjamin Doerr, Weijie Zheng:
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives. - Chao Ma, Lexing Ying:
Achieving Adversarial Robustness Requires An Active Teacher. - Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang:
Multi-Domain Multi-Task Rehearsal for Lifelong Learning. - Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia:
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. - Andrew Boutros, Mathew Hall, Nicolas Papernot, Vaughn Betz:
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs. - Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas:
Bayesian Neural Ordinary Differential Equations. - Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu:
TDAF: Top-Down Attention Framework for Vision Tasks. - Sonia Castelo, Moacir Ponti, Rosane Minghim:
A Visual Mining Approach to Improved Multiple-Instance Learning. - Stefanus Agus Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller:
AndroEvolve: Automated Update for Android Deprecated-API Usages. - Do-Hoon Kwon, Youngjin Kim:
Optimal Voltage and Current Control of an HVDC System to Improve Real-Time Frequency Regulation. - Jae-Young Park, Young-Jin Kim:
Developing an Analytical Model of Frequency and Voltage Variations for Dynamic Reconfiguration. - Young-Jin Kim:
Data-driven Control of an LCC HVDC System for Real-time Frequency Regulation. - Jil Klünder, Dzejlana Karajic, Paolo Tell, Oliver Karras, Christian Münkel, Jürgen Münch, Stephen G. MacDonell, Regina Hebig, Marco Kuhrmann:
Determining Context Factors for Hybrid Development Methods with Trained Models. - Youngjin Kim:
Relieving the Need for Bi-Level Decision-Making for Optimal Retail Pricing via Online Meta-Prediction of Data-Driven Demand Response of HVAC Systems. - Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu:
Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs. - Sohee Bae, Seungyul Han, Youngchul Sung:
A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability. - Seanie Lee, Dong Bok Lee, Sung Ju Hwang:
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. - Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu:
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. - Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester:
Information-Theoretic Segmentation by Inpainting Error Maximization. - Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo:
Semantic Layout Manipulation with High-Resolution Sparse Attention. - Chaozheng Wu, Lin Sun, Xun Xu, Kui Jia:
Learning Category-level Shape Saliency via Deep Implicit Surface Networks. - Ameneh Nejati, Sadegh Soudjani, Majid Zamani:
Compositional Construction of Control Barrier Functions for Continuous-Time Stochastic Hybrid Systems. - Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. - Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. - Neeraj Kumar, Srishti Goel, Ankur Narang, Brejesh Lall:
Multi Modal Adaptive Normalization for Audio to Video Generation. - Ruihong Huang, Jianmin Wang:
Event Data Quality: A Survey. - Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. - Silas Nyboe Ørting, Hans Jacob Teglbjærg Stephensen, Jon Sporring:
Morphology on categorical distributions. - Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets. - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern:
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. - Yaru Niu, Yijun Gu:
Active Hierarchical Imitation and Reinforcement Learning. - Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon:
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. - Chao Zeng, Sam Kwong:
Intrinsic Image Captioning Evaluation. - Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding. - Ermyas Abebe, Yining Hu, Allison Irvin, Dileban Karunamoorthy, Vinayaka Pandit, Venkatraman Ramakrishna, Jiangshan Yu:
Verifiable Observation of Permissioned Ledgers. - Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer:
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration. - Yihan Du, Siwei Wang, Longbo Huang:
A One-Size-Fits-All Solution to Conservative Bandit Problems. - Maxim Vashkevich, Yuliya Rushkevich:
Classification of ALS patients based on acoustic analysis of sustained vowel phonations. - Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan:
Bandit Learning in Decentralized Matching Markets. - Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue:
The Open Brands Dataset: Unified brand detection and recognition at scale. - Rim van Wersch, Steven Kelk, Simone Linz, Georgios Stamoulis:
Reflections on kernelizing and computing unrooted agreement forests. - Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan:
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. - Sébastien Gros, Mario Zanon:
Safe Reinforcement Learning with Stability & Safety Guarantees Using Robust MPC. - Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang:
Disentangled Information Bottleneck. - Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. - Stefan Karlsson, Adnan Causevic, Daniel Sundmark:
Automatic Property-based Testing of GraphQL APIs. - Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon:
Effective and Efficient Data Poisoning in Semi-Supervised Learning. - Elsa Rizk, Stefan Vlaski, Ali H. Sayed:
Federated Learning under Importance Sampling. - Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié:
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. - Lisa van Staden, Herman Kamper:
A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings. - Andrea Pizzo, Thomas L. Marzetta, Luca Sanguinetti:
Holographic MIMO Communications Under Spatially-Stationary Scattering. - Kayode Olaleye, Benjamin van Niekerk, Herman Kamper:
Towards localisation of keywords in speech using weak supervision. - Andreas Maurer, Daniela A. Parletta, Andrea Paudice, Massimiliano Pontil:
A Perturbation Resilient Framework for Unsupervised Learning. - Alexander Uzhinskiy, Gennady Ososkov, Pavel Goncharov, Andrey Nechaevskiy, Artem Smetanin:
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks. - Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan:
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension. - Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf:
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. - Yuyue Yan, Tomohisa Hayakawa:
Stability Analysis of Nash Equilibrium for 2-Agent Loss-Aversion-Based Noncooperative Switched Systems. - Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan:
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement. - Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang:
WILDS: A Benchmark of in-the-Wild Distribution Shifts. - Nando Metzger:
DSM Refinement with Deep Encoder-Decoder Networks. - Moritz Beller, Vince R. Orgovan, Spencer Buja, Thomas Zimmermann:
Mind the Gap: On the Relationship Between Automatically Measured and Self-Reported Productivity. - Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus. - Amit Klein:
Cross Layer Attacks and How to Use Them (for DNS Cache Poisoning, Device Tracking and More). - Mingzhou Yin, Roy S. Smith:
On Low-Rank Hankel Matrix Denoising. - Federico Zocco, Seán F. McLoone:
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training. - Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. - Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Distance-wise Graph Contrastive Learning. - Carlos Lassance:
Graphs for deep learning representations. - Christopher Briggs, Zhong Fan, Peter Andras:
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. - Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang:
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring. - Cristian Tatino, Nikolaos Pappas, Di Yuan:
QoS Aware Robot Trajectory Optimization with IRS-Assisted Millimeter-Wave Communications. - Nina Korshunova, Gianluca Alaimo, Seyyed Bahram Hosseini, Massimo Carraturo, Alessandro Reali, Jarkko Niiranen, Ferdinando Auricchio, Ernst Rank, Stefan Kollmannsberger:
A CT-based numerical characterization of tensile behavior of additively manufactured octet-truss structures and its experimental validation. - Robert Ganian, Thekla Hamm, Fabian Klute, Irene Parada, Birgit Vogtenhuber:
Crossing-Optimal Extension of Simple Drawings. - Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner, Md. Ariful Islam, Scott A. Smolka, Radu Grosu:
Lagrangian Reachtubes: The Next Generation. - Xurong Xie, Xunying Liu, Tan Lee, Lan Wang:
Bayesian Learning for Deep Neural Network Adaptation. - András Kalapos, Csaba Gór, Róbert Moni, István Á. Harmati:
Sim-to-real reinforcement learning applied to end-to-end vehicle control. - David Alexandre, Hsueh-Ming Hang:
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding. - Demi Guo, Alexander M. Rush, Yoon Kim:
Parameter-Efficient Transfer Learning with Diff Pruning. - Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà:
Online Action Recognition. - Hassan Ali, Surya Nepal, Salil S. Kanhere, Sanjay Jha:
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios. - Matias Apa, Maria Cecilia Faini, Mohammad Aliannejadi, Maria Soledad Pera:
A Canine Census to Influence Public Policy. - Jiuwen Zhu, Yuexiang Li, S. Kevin Zhou:
Aggregative Self-Supervised Feature Learning. - Luca Beltramelli, Aamir Mahmood, Paolo Ferrari, Patrik Österberg, Mikael Gidlund, Emiliano Sisinni:
Synchronous LoRa Communication by Exploiting Large-Area Out-of-Band Synchronization. - Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. - Hugo J. Bello, Nora Palomar, Elisa Gallego, Lourdes Jiménez Navascués, Celia Lozano:
Machine Learning to study the impact of gender-based violence in the news media. - Alain Trémeau, Sixiang Xu, Damien Muselet:
Deep Learning for Material recognition: most recent advances and open challenges. - Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds. - Petar Milin, Benjamin V. Tucker, Dagmar Divjak:
A learning perspective on the emergence of abstractions: the curious case of phonemes. - Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. - Qianli Zhou, Yong Deng:
Higher order information volume of mass function. - Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. - Hamoon Jafarian, Amirhosein Taghavi, Alireza Javaheri, Reza Rawassizadeh:
Exploiting BERT to improve aspect-based sentiment analysis performance on Persian language. - Priya S. Nayak, Rhythm Girdhar, Shreekanth M. Prabhu:
Linguistic Classification using Instance-Based Learning. - Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Shami Nisimov, Gal Novik:
A Single Iterative Step for Anytime Causal Discovery. - Vladimir Naidenko:
Logical characterizations of computational complexity classes. - Jiandong Liu, Ruibin Bai, Zheng Lu, Peiming Ge, Daoyun Liu, Uwe Aickelin:
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming. - Shang-Wen Li, Jason Krone, Shuyan Dong, Yi Zhang, Yaser Al-Onaizan:
Meta learning to classify intent and slot labels with noisy few shot examples. - Abdullah Hamid, Nasrullah Sheikh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hassan, Ala I. Al-Fuqaha:
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case. - Nenad Savic, Nicolas Bovio, Fabian Gilbert, Irina Guseva Canu:
Procode: the Swiss Multilingual Solution for Automatic Coding and Recoding of Occupations and Economic Activities. - Armin Karamzade, Amir Najafi, Seyed Abolfazl Motahari:
Regularizing Recurrent Neural Networks via Sequence Mixup. - Souheil Fenghour, Daqing Chen, Kun Guo, Perry Xiao:
Disentangling Homophemes in Lip Reading using Perplexity Analysis. - Evan Hubinger:
An overview of 11 proposals for building safe advanced AI. - Safa Alsafari, Samira Sadaoui, Malek Mouhoub:
Effect of Word Embedding Models on Hate and Offensive Speech Detection. - Yassir Fathullah, Mark J. F. Gales, Andrey Malinin:
Ensemble Distillation Approaches for Grammatical Error Correction. - Pinelopi Papalampidi, Frank Keller, Mirella Lapata:
Movie Summarization via Sparse Graph Construction. - Khondoker Ittehadul Islam, Md. Saiful Islam, Md. Ruhul Amin:
Sentiment analysis in Bengali via transfer learning using multi-lingual BERT. - Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, Zhen Yang:
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association. - Yijie Mao, Bruno Clerckx:
Dirty Paper Coded Rate-Splitting for Non-Orthogonal Unicast and Multicast Transmission with Partial CSIT. - Federico Zocco, Seán F. McLoone:
Recovery of Linear Components: Reduced Complexity Autoencoder Designs. - Karla Stépánová, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomás Pajdla, Matej Hoffmann:
Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation. - Herman Kamper, Benjamin van Niekerk:
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks. - Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed:
An End-to-End Solution for Named Entity Recognition in eCommerce Search. - Wen-Jun Zeng, Jieping Ye:
Successive Projection for Solving Systems of Nonlinear Equations/Inequalities. - Hugo A. Akitaya, Erik D. Demaine, Andrei Gonczi, Dylan H. Hendrickson, Adam Hesterberg, Matias Korman, Oliver Korten, Jayson Lynch, Irene Parada, Vera Sacristán:
Characterizing Universal Reconfigurability of Modular Pivoting Robots. - Trung-Hieu Tran, Long Phan, Truong-Son Nguyen, Tien-Huy Nguyen:
Leveraging Transfer Learning for Reliable Intelligence Identification on Vietnamese SNSs (ReINTEL). - Musarrat Hussain, Fahad Ahmed Satti, Jamil Hussain, Taqdir Ali, Syed Imran Ali, Hafiz Syed Muhammad Bilal, Gwang Hoon Park, Sungyoung Lee:
A Practical Approach towards Causality Mining in Clinical Text using Active Transfer Learning. - Stamatis Mastromichalakis:
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance. - Xiaoxiao Li, Rabah A. Al-Zaidy, Amy X. Zhang, Stefan Baral, Le Bao, C. Lee Giles:
Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews. - Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas:
An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. - Junming Huang, Gavin Cook, Yu Xie:
Do Mass Media Shape Public Opinion toward China? Quantitative Evidence on New York Times with Deep Learning. - Luca Beltramelli, Aamir Mahmood, Patrik Österberg, Mikael Gidlund, Paolo Ferrari, Emiliano Sisinni:
Energy efficiency of slotted LoRaWAN communication with out-of-band synchronization. - Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert:
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings. - Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz:
Quality Estimation & Interpretability for Code Translation. - Huachuan Wang, Yuanfei Bi:
Building Deep Learning Models to Predict Mortality in ICU Patients. - Ashwin Rachha, Gaurav Vanmane:
Detecting Insincere Questions from Text: A Transfer Learning Approach. - Ananda Das, Partha Pratim Das:
Incorporating Domain Knowledge To Improve Topic Segmentation Of Long MOOC Lecture Videos. - Surendra Nepal, Robert Meyer, Nils Hendrik Kröger, Toyohiko Aiki, Adrian Muntean, Yosief Wondmagegne, Ulrich Giese:
A moving boundary approach of capturing diffusants penetration into rubber: FEM approximation and comparison with laboratory measurements. - Lars Eldén, Maryam Dehghan:
A Krylov-Schur like method for computing the best rank-(r1, r2, r3) approximation of large and sparse tensors. - Mariana da Silva, Kara Garcia, Carole H. Sudre, Cher Bass, M. Jorge Cardoso, Emma C. Robinson:
Biomechanical modelling of brain atrophy through deep learning. - Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. - Md. Rahat-uz-Zaman, Shadmaan Hye:
Agglomerative Clustering of Handwritten Numerals to Determine Similarity of Different Languages. - Idoia Cortes Garcia, Iryna Kulchytska-Ruchka, Markus Clemens, Sebastian Schöps:
Parallel-in-Time Solution of Eddy Current Problems Using Implicit and Explicit Time-stepping Methods. - Vivek Kaushal, Kavita Vemuri:
Clickbait in Hindi News Media : A Preliminary Study. - Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu:
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. - Homa Nikbakht, Michèle A. Wigger, Shlomo Shamai:
Coordinated Multi Point Transmission and Reception for Mixed-Delay Traffic. - Yang Liu, Zhen Zhu, Xiang Bai:
WDNet: Watermark-Decomposition Network for Visible Watermark Removal. - Douglas De Rizzo Meneghetti, Reinaldo Augusto da Costa Bianchi:
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information. - Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke:
What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization. - Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng, Xiao Tan, Errui Ding, Yi Yang:
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective. - Daniel H. Biedermann, Jan Clever, André Borrmann:
A generic and density-sensitive method for multi-scale pedestrian dynamics. - Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin:
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections. - Kehe Wu, Zuge Chen, Qi Ma, Xiaoliang Zhang, Wei Li:
Decoupled Self Attention for Accurate One Stage Object Detection. - Richard E. Harang, Ethan M. Rudd:
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection. - Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
Automorphism Ensemble Decoding of Reed-Muller Codes. - Marcus Weber, Konstantin Fackeldey:
The Complexity of Comparative Text Analysis - "The Gardener is always the Murderer" says the Fourth Machine. - Rifkat Davronova, Fatima Adilovab:
A Comparative Analysis of the Ensemble Methods for Drug Design. - Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre:
Best Arm Identification in Graphical Bilinear Bandits. - Sriramkrishnan Muralikrishnan, Stephen Shannon, Tan Bui-Thanh, John N. Shadid:
A Multilevel Block Preconditioner for the HDG Trace System Applied to Incompressible Resistive MHD. - Aditya Pal, Abhijit Mustafi:
Vartani Spellcheck - Automatic Context-Sensitive Spelling Correction of OCR-generated Hindi Text Using BERT and Levenshtein Distance. - Ivan A. Konovalenko, Anna Smagina, Dmitry P. Nikolaev, Petr P. Nikolaev:
ProLab: perceptually uniform projective colour coordinate system. - Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon:
Session-Aware Query Auto-completion using Extreme Multi-label Ranking. - Walid Hariri, Ali Narin:
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review. - Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection. - Weixin Wu, Sonal Thakkar, Will Hawkins, Puya Vahabi, Alberto Todeschini:
High-resolution global irrigation prediction with Sentinel-2 30m data. - Joey Huang:
A Simple Mathematical Model of Politics (I). - Dominique F. Chu, Huy Le Nguyen:
Constraints on Hebbian and STDP learned weights of a spiking neuron. - Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
E2E-FS: An End-to-End Feature Selection Method for Neural Networks. - Lutz Bornmann, Rüdiger Mutz, Robin Haunschild:
Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases. - Danny Smyl, Tyler N. Tallman, Dong Liu, Andreas Hauptmann:
An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values. - Zeeshan Ahmed, Alapan Chaudhuri, Kunwar Shaanjeet Singh Grover, Hrishi Narayanan, Manasvi Vaidyula, Shreyas Pradhan:
Games and Computational Complexity. - Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Fair and Efficient Allocations under Lexicographic Preferences. - Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu:
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. - Lars Eldén, Maryam Dehghan:
Spectral Partitioning of Large and Sparse Tensors using Low-Rank Tensor Approximation. - Renjie Liao, Raquel Urtasun, Richard S. Zemel:
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. - James Newman, Abbas Razaghpanah, Narseo Vallina-Rodriguez, Fabian E. Bustamante, Mark Allman, Diego Perino, Alessandro Finamore:
Back in control - An extensible middle-box on your phone. - Gerben Beintema, Roland Tóth, Maarten Schoukens:
Nonlinear state-space identification using deep encoder networks. - Susmoy Chakraborty, Mir Tafseer Nayeem, Wasi Uddin Ahmad:
Simple or Complex? Learning to Predict Readability of Bengali Texts. - Jack Bandy, Nicholas Diakopoulos:
#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok. - Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder:
Improving Panoptic Segmentation at All Scales. - Qiang Zheng, Dongxiao Zhang:
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks. - Gerben Izaak Beintema, Roland Tóth, Maarten Schoukens:
Non-linear State-space Model Identification from Video Data using Deep Encoders. - Juan Manzanero, Carlos Redondo, Miguel Chávez-Modena, Gonzalo Rubio, Eusebio Valero, Susana Gómez-Álvarez, Ángel Rivero-Jiménez:
High-order discontinuous Galerkin approximation for a three-phase incompressible Navier-Stokes/Cahn-Hilliard model. - Leonardo Lucio Custode, Giovanni Iacca:
Evolutionary learning of interpretable decision trees. - Stefan Roth, Stefano Tomasin, Marco Maso, Aydin Sezgin:
Localization Attack by Precoder Feedback Overhearing in 5G Networks and Countermeasures. - Dax Gerts, Courtney D. Shelley, Nidhi Parikh, Travis Pitts, Chrysm Watson Ross, Geoffrey Fairchild, Nidia Yadria Vaquera Chavez, Ashlynn R. Daughton:
"Thought I'd Share First": An Analysis of COVID-19 Conspiracy Theories and Misinformation Spread on Twitter. - Jie Li, Vasileios Giotsas, Shi Zhou:
Anatomy of Multipath BGP Deployment in a Large ISP Network. - (Withdrawn) Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card Data.
- Adyasha Maharana, Morine Amutorine, Moinina David Sengeh, Elaine O. Nsoesie:
Use of Technology and Innovations in the COVID-19 Pandemic Response in Africa. - Steven Horng, Ashley O'Donoghue, Tenzin Dechen, Matthew Rabesa, Ayad Shammout, Lawrence Markson, Venkat Jegadeesan, Manu Tandon, Jennifer P. Stevens:
Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations. - Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl:
Argument Mining Driven Analysis of Peer-Reviews. - Tetiana A. Vakaliuk, Dmitry S. Antoniuk, Andrii Morozov, Mariia Medvedieva, Mykhailo G. Medvediev:
Green IT as a tool for design cloud-oriented sustainable learning environment of a higher education institution. - Yury Kolotaev, Konrad Kollnig:
Perceptions of YouTube's political influence. - Malak El Khalkhali, Alex Bender, Geri L. Dimas, Kayse Lee Maass, Renata A. Konrad, Jeffrey S. Blom, Joe Zhu, Andrew C. Trapp:
Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis. - Nicolas Macris, Raffaele Marino:
Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes. - Zhihong Pang, Fan Feng, Zheng O'Neill:
Investigation of the Impacts of COVID-19 on the Electricity Consumption of a University Dormitory Using Weather Normalization. - Elisa Ferracane, Sandeep Konam:
Towards Fairness in Classifying Medical Conversations into SOAP Sections. - Leon Andretti Abdillah:
FinTech E-Commerce Payment Application User Experience Analysis during COVID-19 Pandemic. - James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas:
Near Real-Time Social Distancing in London. - Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, Mohammad Omar Khyam, Jianhua He, Dirk Pesch, Klaus Moessner, Walid Saad, H. Vincent Poor:
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities. - Lars Eldén, Maryam Dehghan:
Analyzing Large and Sparse Tensor Data using Spectral Low-Rank Approximation. - Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Application-aware Congestion Mitigation forHigh-Performance Computing Systems. - Antonio Di Lallo, Robin R. Murphy, Axel Krieger, Junxi Zhu, Russell H. Taylor, Hao Su:
Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic. - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Mercer Features for Efficient Combinatorial Bayesian Optimization. - Juan Jose Garau Luis:
Policy Gradient RL Algorithms as Directed Acyclic Graphs. - Laurent Guigues:
Concerning Iterative Graph Normalization and Maximum Weight Independent Sets. - Tianhe Yu, Xinyang Geng, Chelsea Finn, Sergey Levine:
Variable-Shot Adaptation for Online Meta-Learning. - Yanying Liang, Wei Peng, Zhu-Jun Zheng, Olli Silvén, Guoying Zhao:
Quantum neural networks with deep residual learning. - Amir Rasouli, Tiffany Yau, Peter Lakner, Saber Malekmohammadi, Mohsen Rohani, Jun Luo:
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D. - Ilias Diakonikolas, Daniel M. Kane:
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models. - Dionysios S. Kalogerias:
Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions. - Niklas Muennighoff:
Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes. - Vitor Albiero, Xingyu Chen, Xi Yin, Guan Pang, Tal Hassner:
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation. - Sivakanth Gopi, Venkatesan Guruswami:
Improved Maximally Recoverable LRCs using Skew Polynomials. - Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel:
Extracting Training Data from Large Language Models. - Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata:
Unsupervised Opinion Summarization with Content Planning. - Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman:
Real-Time High-Resolution Background Matting. - Zelalem Arega Worku, David W. Zingg:
Simultaneous approximation terms and functional accuracy for diffusion problems discretized with multidimensional summation-by-parts operators. - Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni:
Enabling collaborative data science development with the Ballet framework. - Amir K. Khandani:
Optimality of Gaussian in Enlarging HK Rate Region, and its Overlap with the Capacity Region of 2-users GIC. - Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen:
Annealed Importance Sampling with q-Paths. - Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih:
Relative Variational Intrinsic Control. - Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Robustness Threats of Differential Privacy. - Edward Hermann Haeusler:
Going from the huge to the small: Efficient succinct representation of proofs in Minimal implicational logic. - Neeraj Kumar, Srishti Goel, Ankur Narang, Hasan Mujtaba:
Robust One Shot Audio to Video Generation. - Hasib Uddin Molla, Jinniao Qiu:
Numerical Approximations of Coupled Forward-Backward SPDEs. - Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer:
Perceptron Theory for Predicting the Accuracy of Neural Networks. - Abhilash Nandy, Chandan Kumar, Deepak Mewada, Soumya Sharma:
Bayesian Optimization - Multi-Armed Bandit Problem. - Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy:
Adaptive Verifiable Training Using Pairwise Class Similarity. - Rui Fan, Hengli Wang, Peide Cai, Jin Wu, Mohammud Junaid Bocus, Lei Qiao, Ming Liu:
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation. - Felipe A. Louza, Neerja Mhaskar, W. F. Smyth:
A New Approach to Regular & Indeterminate Strings. - Alexander M. Gruebele, Andrew C. Zerbe, Margaret M. Coad, Allison M. Okamura, Mark R. Cutkosky:
Distributed Sensor Networks Deployed Using Soft Growing Robots. - Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. - Yiannis Kantaros, Matthew Malencia, George J. Pappas:
Reactive Temporal Logic Planning for Multiple Robots in Unknown Occupancy Grid Maps. - Osama A. Hanna, Yahya H. Ezzeldin, Christina Fragouli, Suhas N. Diggavi:
Quantizing data for distributed learning. - Li Xu, Thomas Lux, Tyler H. Chang, Bo Li, Yili Hong, Layne T. Watson, Ali Raza Butt, Danfeng Yao, Kirk W. Cameron:
Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations. - Kavya Dayananda, Nima Karimian:
When Physical Unclonable Function Meets Biometrics. - Daniel W. Song, Konstantinos Mamouras, Ang Chen, Nathan Dautenhahn, Dan S. Wallach:
The Design and Implementation of a Verified File System with End-to-End Data Integrity. - Görkem Giray:
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges. - Ranganath Krishnan, Omesh Tickoo:
Improving model calibration with accuracy versus uncertainty optimization. - Wenzhong Zhang, Wei Cai:
FBSDE based neural network algorithms for high-dimensional quasilinear parabolic PDEs. - Aranyak Mehta, Uri Nadav, Alexandros Psomas, Aviad Rubinstein:
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics. - Lan N. Nguyen, My T. Thai:
Minimum Robust Multi-Submodular Cover for Fairness. - Hadrien Cambazard, Nicolas Catusse:
An integer programming formulation using convex polygons for the convex partition problem. - Rahel A. Fainchtein, Adam J. Aviv, Micah Sherr, Stephen Ribaudo, Armaan Khullar:
Holes in the Geofence: Privacy Vulnerabilities in "Smart" DNS Services. - Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao:
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization. - Fabian Ritz, Thomy Phan, Robert Müller, Thomas Gabor, Andreas Sedlmeier, Marc Zeller, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien:
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning. - Zahra VaraminyBahnemiry, Jessie Galasso, Houari A. Sahraoui:
Fixing Multiple Type Errors in Model Transformations with Alternative Oracles to Test Cases. - Peihan Tu, Li-Yi Wei, Koji Yatani, Takeo Igarashi, Matthias Zwicker:
Continuous Curve Textures. - Michalis Lazarou, Yannis Avrithis, Tania Stathaki:
Iterative label cleaning for transductive and semi-supervised few-shot learning. - Salman Mohammadi, Anders Kirk Uhrenholt, Bjørn Sand Jensen:
Odd-One-Out Representation Learning. - Jun Jet Tai, Mauro Sebastián Innocente, Owais Mehmood:
FasteNet: A Fast Railway Fastener Detector. - Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han:
A review of on-device fully neural end-to-end automatic speech recognition algorithms. - Albert Zhan, Philip Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin:
A Framework for Efficient Robotic Manipulation. - Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur:
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. - Geetanjali Bihani, Julia Taylor Rayz:
Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings. - Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William H. Hsu, Dan Andresen, Mohammed Tanash:
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support. - Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang:
On Continuous Local BDD-Based Search for Hybrid SAT Solving. - Lorenzo Luciano, Imre Kiss, Peter William Beardshear, Esther Kadosh, A. Ben Hamza:
WISE: A Computer System Performance Index Scoring Framework. - Xu Han, Xiaohui Chen, Li-Ping Liu:
GAN Ensemble for Anomaly Detection. - Shadrack Awah Buo:
The Emerging Threats of Deepfake Attacks and Countermeasures. - Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe:
Compliation Techniques for Graphs Algorithms on GPUs. - Vassilios A. Dougalis, Angel Durán, Leetha Saridaki:
Notes on numerical analysis and solitary wave solutions of Boussinesq/Boussinesq systems for internal waves. - Mohammadreza Ebrahimi, Ning Zhang, James Lee Hu, Muhammad Taqi Raza, Hsinchun Chen:
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model. - ShahRukh Athar, Albert Pumarola, Francesc Moreno-Noguer, Dimitris Samaras:
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction. - Sharan Srinivas, Surya Ramachandiran:
Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach. - Mihai Christodorescu, Wanyun Catherine Gu, Ranjit Kumaresan, Mohsen Minaei, Mustafa Özdayi, Benjamin Price, Srinivasan Raghuraman, Muhammad Saad, Cuy Sheffield, Minghua Xu, Mahdi Zamani:
Towards a Two-Tier Hierarchical Infrastructure: An Offline Payment System for Central Bank Digital Currencies. - Andrea Zanette:
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL. - Yae Jee Cho, Samarth Gupta, Gauri Joshi, Osman Yagan:
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning. - Danish Syed, Naman Gandhi, Arushi Arora, Nilesh Kadam:
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection. - Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. - Nicholas Egan, John Bohannon:
Primer AI's Systems for Acronym Identification and Disambiguation. - Mengjia Xu:
Understanding graph embedding methods and their applications. - Leonid Boytsov:
Traditional IR rivals neural models on the MS~MARCO Document Ranking Leaderboard. - Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang:
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning. - Yulong Pan, Per-Olof Persson:
Agglomeration-Based Geometric Multigrid Solvers for Compact Discontinuous Galerkin Discretizations on Unstructured Meshes. - Miaowei Wang, Alexander William Mohacey, Hongyu Wang, James Apfel:
Classification of Smoking and Calling using Deep Learning. - Levent Güvenç:
Preventive and Active Safety Applications. - Blai Bonet, Hector Geffner:
General Policies, Serializations, and Planning Width. - Matthew Joseph Adiletta, Oliver Thomas:
An Artistic Visualization of Music Modeling a Synesthetic Experience. - Takayuki Osogami:
Proofs and additional experiments on Second order techniques for learning time-series with structural breaks. - Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. - Noah Oghenefego Ogwara, Krassie Petrova, Mee Loong Bobby Yang, Stephen G. MacDonell:
Enhancing Data Security in the User Layer of Mobile Cloud Computing Environment: A Novel Approach. - Salman Mohamadi, Hamidreza Amindavar:
Deep Bayesian Active Learning, A Brief Survey on Recent Advances. - Rui Li, Qing Mao, Pei Wang, Xiantuo He, Yu Zhu, Jinqiu Sun, Yanning Zhang:
Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation. - Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach me to segment with mixed supervision: Confident students become masters. - Daito Nakano, Mingyang Yin, Ryosuke Sato, Abram Hindle, Yasutaka Kamei, Naoyasu Ubayashi:
A Quantitative Study of Security Bug Fixes of GitHub Repositories. - Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin'ichi Satoh:
Image Inpainting Guided by Coherence Priors of Semantics and Textures. - Feixiang Lu, Zongdai Liu, Hui Miao, Peng Wang, Liangjun Zhang, Ruigang Yang, Dinesh Manocha, Bin Zhou:
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation. - Nathalie Majcherczyk, Daniel Jeswin Nallathambi, Tim Antonelli, Carlo Pinciroli:
Distributed Data Storage and Fusion for Collective Perception in Resource-Limited Mobile Robot Swarms. - Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen:
A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes. - Manqing Ma, György Korniss, Boleslaw K. Szymanski:
Learning Parameters for Balanced Index Influence Maximization. - Matthew Joseph Adiletta, Brian Flanagan:
Optimization Techniques to Improve Inference Performance of a Forward Propagating Neural Network on an FPGA. - Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. - Yuan Yao, Xiaolin Sun:
An exact solution in Markov decision process with multiplicative rewards as a general framework. - A. F. Zadorozhny, Victor A. Melent'ev:
On the compatibility of the topologies of parallel tasks and computing systems. - Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong:
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. - Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
Instance Optimal Join Size Estimation. - Bryan Liu, Shuangyang Li, Yixuan Xie, Jinhong Yuan:
A Novel Sum-Product Detection Algorithm for Faster-than-Nyquist Signaling: A Deep Learning Approach. - Dinh Dung, Charles A. Micchelli, Vu Nhat Huy:
Approximation by linear combinations of translates of a single function. - Sai Kiran Kadambari, Sundeep Prabhakar Chepuri:
Product Graph Learning from Multi-domain Data with Sparsity and Rank Constraints. - Zongzheng Zhao, Yixin Liu, Li Guo, Linquan Bai, Chengshan Wang:
A Locational Marginal Pricing Mechanism for Uncertainty Management Based on Improved Multi-Ellipsoidal Uncertainty Set. - Shentong Mo, Haofan Wang, Pinxu Ren, Ta-Chung Chi:
Automatic Speech Verification Spoofing Detection. - Lu Chen, Jiao Sun, Wei Xu:
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems. - Shentong Mo, Xiaoqing Tan, Jingfei Xia, Pinxu Ren:
Towards Improving Spatiotemporal Action Recognition in Videos. - William Diggin, Michael Diggin:
Fast 3D Image Moments. - Shunsuke Hirose, Tomotake Kozu, Yingzi Jin:
Anomaly Detection and Localization based on Double Kernelized Scoring and Matrix Kernels. - Soo Ye Kim, Hyeonjun Sim, Munchurl Kim:
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment. - (Withdrawn) Schema Extraction on Semi-structured Data.
- Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu:
Amata: An Annealing Mechanism for Adversarial Training Acceleration. - Nick Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu:
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data. - Juye Kim:
LSTM-based Space Occupancy Prediction towards Efficient Building Energy Management. - Jiayi Zhang, Zhi Cui, Xiaoqiang Xia, Yalong Guo, Yanran Li, Chen Wei, Jianwei Cui:
Writing Polishment with Simile: Task, Dataset and A Neural Approach. - Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma:
Learning Energy-Based Models by Diffusion Recovery Likelihood. - Andrea Iannelli, Mingzhou Yin, Roy S. Smith:
Experiment design for impulse response identification with signal matrix models. - Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du:
Relation-Aware Neighborhood Matching Model for Entity Alignment. - Cheng-Hsun Lei, Yi-Hsin Chen, Wen-Hsiao Peng, Wei-Chen Chiu:
Class-incremental Learning with Rectified Feature-Graph Preservation. - Vibeke Skytt, Tor Dokken:
Scattered data approximation by LR B-spline surfaces. A study on refinement strategies for efficient approximation. - Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu:
Deep Layout of Custom-size Furniture through Multiple-domain Learning. - Saurav Manchanda, Mohit Sharma, George Karypis:
Distant-Supervised Slot-Filling for E-Commerce Queries. - Juncheng Li, Maopeng Ran, Lihua Xie:
Efficient Trajectory Planning for Multiple Non-holonomic Mobile Robots via Prioritized Trajectory Optimization. - Peter Trifonov:
Performance and Complexity of the Sequential Successive Cancellation Decoding Algorithm. - Yuanming Hu, Mingkuan Xu, Ye Kuang, Frédo Durand:
AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming. - Nicolas Wagner, Ulrich Schwanecke:
NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression. - Amol Kelkar, Nachiketa Rajpurohit, Utkarsh Mittal, Peter Relan:
Generation of complex database queries and API calls from natural language utterances. - Matteo Antonio Senese, Alberto Benincasa, Barbara Caputo, Giuseppe Rizzo:
A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer. - Wei Xu, Dingkang Liang, Yixiao Zheng, Zhanyu Ma:
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting. - Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng:
Learning to Check Contract Inconsistencies. - Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu:
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. - Sagar Sharma, Keke Chen:
Confidential Machine Learning on Untrusted Platforms: A Survey. - Yansheng Wu, Qin Yue:
Further factorization of xn-1 over finite fields (II). - Toshiharu Sugie, Ichiro Maruta:
On simplification of Dual-Youla approach for closed-loop identification. - Akrati Saxena:
A Survey of Evolving Models for Weighted Complex Networks based on their Dynamics and Evolution. - Fukang Tian, Haiyu Wu, Bo Xu:
Research on All-content Text Recognition Method for Financial Ticket Image. - Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis:
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning. - Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. - Maisie Badami, Marcos Báez, Shayan Zamanirad, Wei Kang:
On how Cognitive Computing will plan your next Systematic Review. - Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter:
Squirrel: A Switching Hyperparameter Optimizer. - Mohammadreza Doostmohammadian, Alireza Aghasi, Themistoklis Charalambous:
Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks. - Thomas A. Henzinger, Mathias Lechner, Dorde Zikelic:
Scalable Verification of Quantized Neural Networks (Technical Report). - Philippe Blondeel, Pieterjan Robbe, Stijn François, Geert Lombaert, Stefan Vandewalle:
On the Selection of Random Field Evaluation Points in the p-MLQMC Method. - Tom Monnier, Mathieu Aubry:
docExtractor: An off-the-shelf historical document element extraction. - QHwan Kim, Joon-Hyuk Ko, Sunghoon Kim, Nojun Park, Wonho Jhe:
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction. - Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein:
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. - Yifeng Guo, Yu Su, Zebin Yang, Aijun Zhang:
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions. - Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner:
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. - Nathanael Bosch, Philipp Hennig, Filip Tronarp:
Calibrated Adaptive Probabilistic ODE Solvers. - Tobias Scheck, Ana Pérez Grassi, Gangolf Hirtz:
Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection. - Carlos Badenes-Olmedo, José Luis Redondo García, Óscar Corcho:
Efficient Clustering from Distributions over Topics. - Abhinav Gupta, Rajib Chowdhury, Anupam Chakrabarti, Timon Rabczuk:
A 55-line code for large-scale parallel topology optimization in 2D and 3D. - Hiroaki Nishikawa:
Economically High-Order Unstructured-Grid Methods: Clarification and Efficient FSR Schemes. - Hadiseh Safdari, Martina Contisciani, Caterina De Bacco:
A generative model for reciprocity and community detection in networks. - Denys Rozumnyi, Jiri Matas, Filip Sroubek, Marc Pollefeys, Martin R. Oswald:
FMODetect: Robust Detection and Trajectory Estimation of Fast Moving Objects. - Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli:
Policy Optimization as Online Learning with Mediator Feedback. - Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn:
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. - Yi Zhou, Hongdong Li, Laurent Kneip:
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment. - Ruo Ando, Yoshiyasu Takefuji:
A new perspective of paramodulation complexity by solving massive 8 puzzles. - Marco Livesu:
Mapping Surfaces with Earcut. - Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised Learning of Global Factors in Deep Generative Models. - Chen Ju, Peisen Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses. - Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar:
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? - Yang He, Maximilian Zenk, Mario Fritz:
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning. - Andrei Zaharescu, Radu Horaud:
Robust Factorization Methods Using a Gaussian/Uniform Mixture Model. - Liran Azaria, Dan Raviv:
Geometry Enhancements from Visual Content: Going Beyond Ground Truth. - Maksim V. Kubrikov, I. I. Pikalov, Mikhail V. Saramud:
Rigid chain in parallel kinematic positioning system. - Patrick Gebhard, Tanja Schneeberger, Michael Dietz, Elisabeth André, Nida ul Habib Bajwa:
Designing a Mobile Social and Vocational Reintegration Assistant for Burn-out Outpatient Treatment. - Tessa van der Heiden, Christoph Salge, Efstratios Gavves, Herke van Hoof:
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication. - Ashima Yadav, Dinesh Kumar Vishwakarma:
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis. - Michail Christos Doukas, Stefanos Zafeiriou, Viktoriia Sharmanska:
HeadGAN: Video-and-Audio-Driven Talking Head Synthesis. - Ertan Kazikli, Serkan Saritas, Sinan Gezici, Tamás Linder, Serdar Yüksel:
Signaling Games for Arbitrary Distributions: Number of Bins and Properties of Equilibria. - Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli:
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. - Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang:
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion. - Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. - Oleksandr Gurbych, Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot:
High throughput screening with machine learning. - Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. - Daniel Dworakowski, Goldie Nejat:
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation. - Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan:
Towards a 6G AI-Native Air Interface. - Hanne Hardering, Benedikt Wirth:
Quartic Lp-convergence of cubic Riemannian splines. - Ron Zhu:
Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution. - Kevin Akbar Adhiguna, Firhan Maulana Rusli, Hendy Irawan:
Building an ID Card Repository with Progressive Web Application to Mitigate Fraud. - Karol Desnos, Nicolas Sourbier, Pierre-Yves Raumer, Olivier Gesny, Maxime Pelcat:
Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs. - Kondo H. Adjallah, Kossi P. Adzakpa:
Minimizing Maintenance Cost Involving Flow-time and Tardiness Penalty with Unequal Release Dates. - Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone:
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning. - Deepak Kumar, Nalin Kumar, Subhankar Mishra:
QUARC: Quaternion Multi-Modal Fusion Architecture For Hate Speech Classification. - Sebastian Müller, Andreas Penzkofer, Darcy Camargo, Olivia Saa:
On Fairness in Voting Consensus Protocols. - Jafar Majidpour, Hiwa Hasanzadeh:
Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks. - Roberto Millon, Emmanuel Frati, Enzo Rucci:
A Comparative Study between HLS and HDL on SoC for Image Processing Applications. - Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu:
Improved Image Matting via Real-time User Clicks and Uncertainty Estimation. - Paolo Dulio, Andrea Frosini:
On some geometric aspects of the class of hv-convex switching components. - Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua:
Masksembles for Uncertainty Estimation. - Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning Design. - Andrew Trask, Emma Bluemke, Ben Garfinkel, Claudia Ghezzou Cuervas-Mons, Allan Dafoe:
Beyond Privacy Trade-offs with Structured Transparency. - Raoul R. Nigmatullin, Alexander Ivchenko, Semyon Dorokhin:
Differentiation of Sliding Rescaled Ranges: New Approach to Encrypted and VPN Traffic Detection. - Mark van der Boor, Sem C. Borst, Johan van Leeuwaarden:
Optimal Hyper-Scalable Load Balancing with a Strict Queue Limit. - Hemang Chawla, Matti Jukola, Shabbir Marzban, Elahe Arani, Bahram Zonooz:
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos. - Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao:
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts. - Vladimir Shenmaier:
Efficient PTAS for the Maximum Traveling Salesman Problem in a Metric Space of Fixed Doubling Dimension. - Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff:
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games. - Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao:
Keyword-Guided Neural Conversational Model. - Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. - Cynthia C. S. Liem, Annibale Panichella:
Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering. - Michele Benzi, Igor Simunec:
Rational Krylov methods for fractional diffusion problems on graphs. - Jan Kristanto Wibisono, Hsueh-Ming Hang:
FINED: Fast Inference Network for Edge Detection. - Wenjie Qin, Xiang Li, Yuhui Sun, Deyi Xiong, Jianwei Cui, Bin Wang:
Modeling Homophone Noise for Robust Neural Machine Translation. - Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection. - Marcus Venzke, Daniel Klisch, Philipp Kubik, Asad Ali, Jesper Dell Missier, Volker Turau:
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems. - Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid, Tamer Ölmez, Zümray Dokur, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Muhammad Salman Khan:
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. - Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee:
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution. - Zhuonan Liang, Ziheng Liu, Huaze Shi, Yunlong Chen, Yanbin Cai, Yating Liang, Yafan Feng, Yuqing Yang, Jing Zhang, Peng Fu:
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method. - Sebastian Steinau, Kevin Andrews, Manfred Reichert:
Enacting Coordination Processes. - Michael Herman, Jörg Wagner, Vishnu Suganth Prabhakaran, Nicolas Möser, Hanna Ziesche, Waleed Ahmed, Lutz Bürkle, Ernst Kloppenburg, Claudius Gläser:
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features. - Tarasha Khurana, Achal Dave, Deva Ramanan:
Detecting Invisible People. - Shachar Gluska, Mark Grobman:
Exploring Neural Networks Quantization via Layer-Wise Quantization Analysis. - Tochukwu John Anih, Chika Amadi Bede, Chima Festus Umeokpala:
Detection of Anomalies in a Time Series Data using InfluxDB and Python. - Arnulf Jentzen, Adrian Riekert:
Strong overall error analysis for the training of artificial neural networks via random initializations. - Tanasai Sucontphunt:
Geometric Surface Image Prediction for Image Recognition Enhancement. - Simon Axelrod, Rafael Gómez-Bombarelli:
Molecular machine learning with conformer ensembles. - Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, Roberto Calandra:
TACTO: A Fast, Flexible and Open-source Simulator for High-Resolution Vision-based Tactile Sensors. - Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation. - Joab Kose, Oscar Bautista Chia, Vashish Baboolal:
Review and Test of Steganography Techniques. - Mohamed Aziz Bhouri:
Model-Order-Reduction Approach for Structural Health Monitoring of Large Deployed Structures with Localized Operational Excitations. - Adil Khurram, Luis A. Duffaut Espinosa, Mads Almassalkhi:
A Methodology for Quantifying Flexibility in a fleet of Diverse DERs. - Jianfeng Lu, Stefan Steinerberger:
Neural Collapse with Cross-Entropy Loss. - Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin:
Objective-Based Hierarchical Clustering of Deep Embedding Vectors. - Lorenzo Maggi, Alvaro Valcarce Rial, Jakob Hoydis:
Bayesian Optimization for Radio Resource Management: Open Loop Power Control. - Lorenzo Balzotti:
A New Algorithm to Recognize Path Graphs. - Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. - Hiroyuki Kido, Keishi Okamoto:
Bayes Meets Entailment and Prediction: Commonsense Reasoning with Non-monotonicity, Paraconsistency and Predictive Accuracy. - Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. - Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Liénart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel:
Amazon SageMaker Autopilot: a white box AutoML solution at scale. - Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson:
Indecision Modeling. - Simon R. Davies, Richard Macfarlane, William J. Buchanan:
Evaluation of Live Forensic Techniques in Ransomware Attack Mitigation. - Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau:
Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization. - Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang:
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. - Qingfu Wan, Oliver Lu:
NAPA: Neural Art Human Pose Amplifier. - Michelle Guo, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser:
Object-Centric Neural Scene Rendering. - Dongruo Zhou, Quanquan Gu, Csaba Szepesvári:
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes. - David Ding, Felix Hill, Adam Santoro, Matt M. Botvinick:
Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. - Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. - Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. - Xinhan Di, Pengqian Yu, Danfeng Yang, Hong Zhu, Changyu Sun, YinDong Liu:
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph. - Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li:
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection. - Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza:
Exploring Transfer Learning For End-to-End Spoken Language Understanding. - Sergio Hidalgo-Espinoza, Kevin Chamorro-Cupueran, Oscar Chang-Tortolero:
Intrusion detection in computer systems by using artificial neural networks with Deep Learning approaches. - Víctor Blanco, Alberto Japón, Justo Puerto:
Robust Optimal Classification Trees under Noisy Labels. - Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
Pre-Training Transformers as Energy-Based Cloze Models. - Eleni Nisioti, Clément Moulin-Frier:
Grounding Artificial Intelligence in the Origins of Human Behavior. - Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. - Sujata Banerjee, Yiling Chen, Kobbi Nissim, David C. Parkes, Katie A. Siek, Lauren Wilcox:
Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry. - Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins:
An Agenda for Disinformation Research. - Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard:
Attentional Local Contrast Networks for Infrared Small Target Detection. - Gustavo Penha, Claudia Hauff:
Weakly Supervised Label Smoothing. - Johannes Kraus, Philip L. Lederer, Maria Lymbery, Joachim Schöberl:
Uniformly well-posed hybridized discontinuous Galerkin/hybrid mixed discretizations for Biot's consolidation model. - Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno:
FoggySight: A Scheme for Facial Lookup Privacy. - Albert Tedja:
Sorting Lists with Equal Keys Using Mergesort in Linear Time. - Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun:
Network experimentation at scale. - Udayan Khurana, Sainyam Galhotra:
Semantic Annotation for Tabular Data. - Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti:
Energy-Constrained Delivery of Goods with Drones Under Varying Wind Conditions. - Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas:
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. - Indrajit Kurmi, David C. Schedl, Oliver Bimber:
Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization. - Pedro Cisneros-Velarde, Francesco Bullo:
Distributed Wasserstein Barycenters via Displacement Interpolation. - Haider Al-Lawati, Stark C. Draper:
Anytime Minibatch with Delayed Gradients. - Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
BeBold: Exploration Beyond the Boundary of Explored Regions. - Ali Yazdizadeh, Bilal Farooq:
Smart Mobility Ontology: Current Trends and Future Directions. - Quoc Dung Cao, Youngjun Choe:
Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features. - Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil:
Learning Prediction Intervals for Model Performance. - Giorgio Audrito, Roberto Casadei, Ferruccio Damiani, Mirko Viroli:
Computation Against a Neighbour. - Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel:
Open Problems in Cooperative AI. - Steven Chaplick, Jonathan Rollin, Torsten Ueckerdt:
Edge-Minimum Saturated k-Planar Drawings. - Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell:
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. - Fatih Nar, Erdal Yilmaz, Gustau Camps-Valls:
Sparsity-driven Digital Terrain Model Extraction. - Jochem Verrelst, Juan Pablo Rivera, Anatoly A. Gitelson, Jesús Delegido, José F. Moreno, Gustau Camps-Valls:
Spectral band selection for vegetation properties retrieval using Gaussian processes regression. - Dieuthuy Pham, Minhtuan Ha, Changyan Xiao:
A grid-point detection method based on U-net for a structured light system. - Dhasarathy Parthasarathy, Anton Johansson:
Does the dataset meet your expectations? Explaining sample representation in image data. - Kasthuri Jayarajah, Dhanuja Wanniarachchige, Archan Misra:
Enabling Collaborative Video Sensing at the Edge through Convolutional Sharing. - Alin Bostan, Sergey Yurkevich:
Fast Computation of the N-th Term of a q-Holonomic Sequence and Applications. - Sen Lin, Mehmet Dedeoglu, Junshan Zhang:
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication. - Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal, Maria Kyrarini, Morris Bell, Fillia Makedon:
Automated system to measure Tandem Gait to assess executive functions in children. - Rebecca Roelofs, Nicholas Cain, Jonathon Shlens, Michael C. Mozer:
Mitigating bias in calibration error estimation. - Linjie Li, Zhe Gan, Jingjing Liu:
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models. - Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin:
Wasserstein Contrastive Representation Distillation. - Nemanja Rakicevic, Antoine Cully, Petar Kormushev:
Policy Manifold Search for Improving Diversity-based Neuroevolution. - Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang:
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning. - Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall:
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders. - Jin Wang, Jia Hu, Geyong Min:
Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method. - Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray:
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity. - Eray Unsal Atay, Igor Kadota, Eytan H. Modiano:
Aging Bandits: Regret Analysis and Order-Optimal Learning Algorithm for Wireless Networks with Stochastic Arrivals. - Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. - Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang:
Domain Adaptive Object Detection via Feature Separation and Alignment. - Michael Franklin Bosu, Stephen G. MacDonell, Peter A. Whigham:
Testing the Stationarity Assumption in Software Effort Estimation Datasets. - Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie:
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition. - Yaqi Liu, Chao Xia, Xiaobin Zhu, Shengwei Xu:
Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue. - Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura:
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. - Cory V. Frontin, Gage S. Walters, Freddie D. Witherden, Carl W. Lee, David M. Williams, David L. Darmofal:
Foundations of space-time finite element methods: polytopes, interpolation, and integration. - Bo Yang, Jian Huang, Xiaolong Li, Xinxing Chen, Caihua Xiong, Yasuhisa Hasegawa:
Natural grasp intention recognition based on gaze fixation in human-robot interaction. - Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu:
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. - Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan:
SID-NISM: A Self-supervised Low-light Image Enhancement Framework. - Yeasir Rayhan, Tanzima Hashem:
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction. - Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang:
Incentive Mechanism Design for Distributed Coded Machine Learning. - Gege Zhang:
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring. - Yizhen Xu, Peng Cheng, Zhuo Chen, Ming Ding, Branka Vucetic, Yonghui Li:
Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach. - Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou:
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. - Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan:
Exacerbating Algorithmic Bias through Fairness Attacks. - Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. - Ranjan Pal, Junhui Li, Yixuan Wang, Mingyan Liu, Swades De, Jon Crowcroft:
Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging. - Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen:
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts. - Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha:
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification. - Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. - Guy Blanc, Jane Lange, Li-Yang Tan:
Testing and reconstruction via decision trees. - Anh Viet Do, Frank Neumann:
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints. - Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. - Anna Melman, Pavel Petrov, Alexander Alexandrovich Shelupanov:
An adaptive algorithm for embedding information into compressed JPEG images using the QIM method. - Thi-Vinh Ngo, Phuong-Thai Nguyen, Thanh-Le Ha, Khac-Quy Dinh, Le-Minh Nguyen:
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French-, English- Vietnamese. - Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis:
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. - Masaki Kitayama, Hitoshi Kiya:
Difficulty in estimating visual information from randomly sampled images. - Yu Zhou, Haixia Zheng, Xin Huang:
Graph Neural Networks: Taxonomy, Advances and Trends. - Genki Furuhata, Tomoaki Niiyama, Satoshi Sunada:
Physical deep learning based on optimal control of dynamical systems. - Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu:
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. - Hao Jiaxiang:
Building domain specific lexicon based on TikTok comment dataset. - Mariya Hendriksen, Ernst Kuiper, Pim Nauts, Sebastian Schelter, Maarten de Rijke:
Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers. - Maha Shadaydeh, Lea Müller, Dana Schneider, Martin Thümmel, Thomas Kessler, Joachim Denzler:
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. - Vassilis Papaspirou, Leandros Maglaras, Mohamed Amine Ferrag, Ioanna Kantzavelou, Helge Janicke:
A novel Two-Factor HoneyToken Authentication Mechanism. - Vincent Claveau:
Query expansion with artificially generated texts. - Christoph Meier, Sebastian L. Fuchs, A. John Hart, Wolfgang A. Wall:
A novel smoothed particle hydrodynamics formulation for thermo-capillary phase change problems with focus on metal additive manufacturing melt pool modeling. - Chen Xing, Wencong Xiao, Yong Li, Wei Lin:
Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training. - Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. - Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification. - Miroslav Rac, Michal Kompan, Mária Bieliková:
Session-based k-NNs with Semantic Suggestions for Next-item Prediction. - Fengli Gao, Huicai Zhong:
Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient. - Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper:
Latent Space Conditioning on Generative Adversarial Networks. - Jianan Li, Xuemei Xie, Zhifu Zhao, Yuhan Cao, Qingzhe Pan, Guangming Shi:
Temporal Graph Modeling for Skeleton-based Action Recognition. - Dingwei Li, Qinglong Chang, Lixue Pang, Yanfang Zhang, Xudong Sun, Jikun Ding, Liang Zhang:
More Industry-friendly: Federated Learning with High Efficient Design. - Simon D. Duque Antón, Daniel Fraunholz, Daniel Schneider:
Investigating the Ecosystem of Offensive Information Security Tools. - Ivan Sosin, Daniel Kudenko, Aleksei Shpilman:
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation. - Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman:
A comparative evaluation of machine learning methods for robot navigation through human crowds. - Rozaliya Amirova, Sergey Masyagin, Anastasia Reprintseva, Giancarlo Succi, Herman Tarasau:
Toward understanding the conditions that promote higher attention in software developments - a first step on music and standups. - Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman:
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. - Haoran Wang, Cheng Yang:
Information Diffusion Prediction with Latent Factor Disentanglement. - Angelos-Christos G. Anadiotis, Oana Balalau, Catarina Conceição, Helena Galhardas, Mhd Yamen Haddad, Ioana Manolescu, Tayeb Merabti, Jingmao You:
Graph integration of structured, semistructured and unstructured data for data journalism. - Stefan-Cristian Nechita, Roland Tóth, Dhruv Khandelwal, Maarten Schoukens:
Toolbox for Discovering Dynamic System Relations via TAG Guided Genetic Programming. - Rishi Rabheru, Hazim Hanif, Sergio Maffeis:
A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities. - José Pereira dos Reis, Fernando Brito e Abreu, Glauco de Figueiredo Carneiro, Craig Anslow:
Code smells detection and visualization: A systematic literature review. - Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek:
A Lightweight Neural Model for Biomedical Entity Linking. - Andres Pinilla Palacios, Jaime Andres Garcia, William L. Raffe, Jan-Niklas Voigt-Antons, Robert P. Spang, Sebastian Möller:
Emotion visualization in Virtual Reality: An integrative review. - Depen Morwani, Rahul Vashisht, Harish G. Ramaswamy:
Using noise resilience for ranking generalization of deep neural networks. - Dawon Ahn, Jun-Gi Jang, U Kang:
Time-Aware Tensor Decomposition for Missing Entry Prediction. - Shuji Shinohara, Nobuhito Manome, Yoshihiro Nakajima, Yukio-Pegio Gunji, Toru Moriyama, Hiroshi Okamoto, Shunji Mitsuyoshi, Ung-il Chung:
Lévy walks derived from a Bayesian decision-making model in non-stationary environments. - Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort:
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. - Markus Geisenhofer, Florian Kummer, Martin Oberlack:
An Extended Discontinuous Galerkin Method for High-Order Shock-Fitting. - Yanli Li, Jing Ma, Fanshu Fang:
How the emotion's type and intensity affect rumor spreading. - Daniel Elambo Atonge, Shokhista Ergasheva, Artem V. Kruglov, Giancarlo Succi:
Practical use of Windows data collector process and testing analysis. - Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu:
On The Verification of Neural ODEs with Stochastic Guarantees. - Xiao-Wei Tang, Changsheng You, Shuowen Zhang, Xin-Lin Huang, Rui Zhang:
3D Trajectory Design for UAV-Assisted Oblique Image Acquisition. - Naweiluo Zhou, Yiannis Georgiou, Li Zhong, Huan Zhou, Marcin Pospieszny:
Container Orchestration on HPC Systems. - Md. Hishamur Rahman, Shakil Mohammad Rifaat:
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymized Spatial Adjacency Information. - Zhengcai Li:
Robust self-triggered DMPC for linear discrete-time systems with local and global constraints. - Santiago Andrés Azcoitia, Nikolaos Laoutaris:
Try Before You Buy: A practical data purchasing algorithm for real-world data marketplaces. - Bastien Cazaux, Eric Rivals:
Greedy-reduction from Shortest Linear Superstring to Shortest Circular Superstring. - Gobinda Rakshit, Akshay S. Rane, Kshitij Patil:
Richardson extrapolation for the iterated Galerkin solution of Urysohn integral equations with Green's kernels. - Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. - Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. - Lei Yang, Zitong Zhang, Xiaotian Jia, Peipei Kang, Wensheng Zhang, Dongya Wang:
Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation. - Dan Jia, Mats Steinweg, Alexander Hermans, Bastian Leibe:
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera. - Jian Wen, Xuebo Zhang, Haiming Gao, Jing Yuan, Yongchun Fang:
EffMoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure. - Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To, Huu-Quang Nguyen, Thuy-Trinh Nguyen, Linh Le, Anh-Tuan Nguyen, Minh-Duc Hoang, Nghia Le, Huyen Nguyen, Hoang D. Nguyen:
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites. - Yingjie Li, Ruiyang Chen, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu:
Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design. - Abdulmalik Johar:
Information retrieval system for silte language using BM25 weighting. - Subhrangsu Mandal, Arobinda Gupta:
Maximum 0-1 Timed Matching on Temporal Graphs. - Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu:
Communicative Message Passing for Inductive Relation Reasoning. - Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. - Denisa A. O. Roberts:
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism. - Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. - Zhichao Wu, Lei Guo, Hao Zhang, Dan Xu:
Unsupervised Image Segmentation using Mutual Mean-Teaching. - Josh A. Firth, Gregory F. Albery, Kristina B. Beck, Ivan Jaric, Lewis G. Spurgin, Ben C. Sheldon, Will Hoppitt:
Analysing the Social Spread of Behaviour: Integrating Complex Contagions into Network Based Diffusions. - Nishant Kumar, Stefan Gumhold:
FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization. - Jessica M. Lundin, Michael Sollami, Brian Lonsdorf, Alan Ross, Owen Schoppe, David Woodward, Sönke Rohde:
Copyspace: Where to Write on Images? - Weibin Meng, Federico Zaiter, Yuheng Huang, Ying Liu, Shenglin Zhang, Yuzhe Zhang, Yichen Zhu, Tianke Zhang, En Wang, Zuomin Ren, Feng Wang, Shimin Tao, Dan Pei:
Summarizing Unstructured Logs in Online Services. - Divya Kothandaraman, Rohan Chandra, Dinesh Manocha:
SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments. - Michelangelo Bin, Thomas Parisini:
A Distributed Methodology for Approximate Uniform Global Minimum Sharing. - Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan:
Deep Reinforcement Learning of Graph Matching. - Nir Diamant, Tal Mund, Ohad Menashe, Aviad Zabatani, Alex M. Bronstein:
SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera. - Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin:
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. - Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser:
Shortest Multi-Spline Bases for Generalized Sampling. - Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Radityo Eko Prasojo, Alham Fikri Aji:
No Budget? Don't Flex! Cost Consideration when Planning to Adopt NLP for Your Business. - Maximilian Schwenger:
Monitoring Cyber-Physical Systems: From Design to Integration. - Bernd Finkbeiner, Stefan Oswald, Noemi Passing, Maximilian Schwenger:
Verified Rust Monitors for Lola Specifications. - Hérve Moulinec, Pierre Suquet:
A numerical method for computing the overall response of nonlinear composites with complex microstructure. - Nicholas Stedmon:
The Impact of Cyber Security Threats on the 2020 US Elections. - Indradyumna Roy, Abir De, Soumen Chakrabarti:
Adversarial Permutation Guided Node Representations for Link Prediction. - Arvind Pillai, Halsey Lea, Faisal M. Khan, Glynn Dennis:
Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach. - Dongxu Wei, Xiaowei Xu, Haibin Shen, Kejie Huang:
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer. - Hyemin Ahn, Obin Kwon, Kyoungdo Kim, Dongheui Lee, Songhwai Oh:
Visually Grounding Instruction for History-Dependent Manipulation. - Tobias Pfandzelter, David Bermbach:
Edge (of the Earth) Replication: Optimizing Content Delivery in Large LEO Satellite Communication Networks. - Tong Zhang, Rui Wang:
Secure Degrees-of-Freedom of the MIMO X Channel with Delayed CSIT. - Bert Mortier, Martine Baelmans, Giovanni Samaey:
A comparison of source term estimators in coupled finite-volume/Monte-Carlo methods with applications to plasma edge simulations in nuclear fusion. - Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. - Bert Mortier, Martine Baelmans, Giovanni Samaey:
Kinetic-diffusion asymptotic-preserving Monte Carlo algorithm for Boltzmann-BGK in the diffusive scaling. - Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He:
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. - Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lv:
Discovering New Intents with Deep Aligned Clustering. - Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao:
A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications. - Jannis Limperg:
A Novice-Friendly Induction Tactic for Lean. - Alejandro Díaz-Caro, Gilles Dowek:
A New Connective in Natural Deduction, and its Application to Quantum Computing. - Peng Cheng, Zijian Fan:
Research on Failure Characteristics of Circular Expansion Foundation of Large Wind Turbine. - Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang:
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. - Claudio S. Pinhanez, Paulo R. Cavalin, Victor Henrique Alves Ribeiro, Heloisa Candello, Julio Nogima, Ana Paula Appel, Mauro Pichiliani, Maíra Gatti de Bayser, Melina Alberio Guerra, Henrique Ferreira, Gabriel Louzada Malfatti:
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms. - Lucas Lacasa, Sebastiano Stramaglia, Daniele Marinazzo:
Beyond pairwise network similarity: exploring Mediation and Suppression between networks. - Baldomero Coll-Perales, Loreto Pescosolido, Javier Gozálvez, Andrea Passarella, Marco Conti:
Next Generation Opportunistic Networking in Beyond 5G Networks. - Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield:
An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. - Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang:
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. - Nuno Fachada:
ColorShapeLinks: A Board Game AI Competition for Educators and Students. - Qing Wan, Yoonsuck Choe:
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators. - Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool:
CompositeTasking: Understanding Images by Spatial Composition of Tasks. - (Withdrawn) Forward-backward kernel-based state and parameter estimation for linear systems of arbitrary order.
- Theodore R. Sumers, Mark K. Ho, Thomas L. Griffiths:
Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation. - Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka:
Improved StyleGAN Embedding: Where are the Good Latents? - David Meyer, Thomas Nagler, Robin J. Hogan:
Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model. - Alexander Kozachinskiy:
Continuous Positional Payoffs. - Georg Buchgeher, David Gabauer, Jorge Martínez Gil, Lisa Ehrlinger:
Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review. - Inga Abel, Maximilian Neuner, Helmut Graeb:
A Functional Block Decomposition Method for Automatic Op-Amp Design. - Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian Charles Williams:
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. - Vince J. Straub:
Beyond kinetic harm and towards a dynamic conceptualization of cyberterrorism. - Massimiliano Mancini:
Towards Recognizing New Semantic Concepts in New Visual Domains. - Nicolas Gast, Bruno Gaujal, Chen Yan:
Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy. - Pauline Kergus:
Data-driven control of infinite dimensional systems: Application to a continuous crystallizer. - Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, François Brémond:
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification. - Emmanuel Bresso, Pierre Monnin, Cédric Bousquet, François-Élie Calvier, Ndeye Coumba Ndiaye, Nadine Petitpain, Malika Smaïl-Tabbone, Adrien Coulet:
Investigating ADR mechanisms with knowledge graph mining and explainable AI. - Carlos Baquero:
Causality is Graphically Simple. - Inga Abel, Maximilian Neuner, Helmut Graeb:
A Hierarchical Performance Equation Library for Op-Amp Design. - Prateek Chaudhry, Matthew Lease:
You Are What You Tweet: Profiling Users by Past Tweets to Improve Hate Speech Detection. - Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf:
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation. - Emre Ozfatura, Kerem Ozfatura, Deniz Gündüz:
FedADC: Accelerated Federated Learning with Drift Control. - Paolo Notaro, Jorge Cardoso, Michael Gerndt:
A Systematic Mapping Study in AIOps. - Andreas L. Opdahl, Vimala Nunavath:
Big Data. - Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala I. Al-Fuqaha:
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges. - Cédric Goeury, Yoann Audouin, Fabrice Zaoui:
Interoperability and computational framework for simulating open channel hydraulics: application to sensitivity analysis and calibration of Gironde Estuary model. - Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries. - Sebastian Meznar, Blaz Skrlj:
Predicting Generalization in Deep Learning via Metric Learning - PGDL Shared task. - Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey:
Exploring Thematic Coherence in Fake News. - Lei Cao, Huijun Zhang, Ling Feng:
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media. - Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander:
Planning From Pixels in Atari With Learned Symbolic Representations. - Sarada Devaram:
Empathic Chatbot: Emotional Intelligence for Empathic Chatbot: Emotional Intelligence for Mental Health Well-being. - Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli:
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being. - Hongda Qiu:
Multi-agent navigation based on deep reinforcement learning and traditional pathfinding algorithm. - Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin, Polla Fattah, Mokhtar Mohammadi, Indradip Banerjee:
An Improved Simulation Model for Pedestrian Crowd Evacuation. - Griffin Adams, Sarguna Janani Padmanabhan, Shivang Shekhar:
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory. - Danil Annenkov, Mikkel Milo, Jakob Botsch Nielsen, Bas Spitters:
Extracting Smart Contracts Tested and Verified in Coq. - Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Incentivizing Truthfulness Through Audits in Strategic Classification. - Jun Liu, Zhu Wang:
A ROM-accelerated parallel-in-time preconditioner for solving all-at-once systems from evolutionary PDEs. - Tuukka Korhonen:
Listing Small Minimal Separators of a Graph. - Kaiyuan Li, Maverick Woo, Limin Jia:
On the Generation of Disassembly Ground Truth and the Evaluation of Disassemblers. - Nathan O. Lambert, Albert Wilcox, Howard Zhang, Kristofer S. J. Pister, Roberto Calandra:
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning. - Xinyan Zhao, V. G. Vinod Vydiswaran:
LIREx: Augmenting Language Inference with Relevant Explanation. - Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. - Yinbo Chen, Sifei Liu, Xiaolong Wang:
Learning Continuous Image Representation with Local Implicit Image Function. - Fukutomo Nakanishi, Giulio De Pasquale, Daniele Ferla, Lorenzo Cavallaro:
Intertwining ROP Gadgets and Opaque Predicates for Robust Obfuscation. - Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun:
Point Transformer. - Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts. - Xiangyu Ni, Bill Goodwine:
Damage Modeling for the Tree-Like Network with Fractional-Order Calculus. - Robert A. Bridges, Sean Oesch, Miki E. Verma, Michael D. Iannacone, Kelly M. T. Huffer, Brian Jewell, Jeffrey A. Nichols, Brian Weber, Justin M. Beaver, Jared M. Smith, Daniel Scofield, Craig Miles, Thomas Plummer, Mark Daniell, Anne M. Tall:
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. - Te-Lin Wu, Shikhar Singh, Sayan Paul, Gully A. Burns, Nanyun Peng:
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification. - Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran:
Relational Boosted Bandits. - Yucel Aydin, Gunes Karabulut-Kurt, Enver Ozdemir, Halim Yanikomeroglu:
Group Handover for Drone-Mounted Base Stations. - Xinzhe Fu, Eytan H. Modiano:
Learning-NUM: Network Utility Maximization with Unknown Utility Functions and Queueing Delay. - Alexander Lalejini, Matthew Andres Moreno, Charles Ofria:
Tag-based Genetic Regulation for Genetic Programming. - Jesslyn Alekseyev, Erica Dixon, Vilhelm L. Andersen Woltz, Danny Weitzner:
Realizing the Promise of Automated Exposure Notification (AEN) Technology to Control the Spread of COVID-19: Recommendations for Smartphone App Deployment, Use, and Iterative Assessment. - Xiangyu Ni, Bill Goodwine:
Damage Identification for The Tree-like Network through Frequency-domain Modeling. - Mehdi Bahri, Eimear O' Sullivan, Shunwang Gong, Feng Liu, Xiaoming Liu, Michael M. Bronstein, Stefanos Zafeiriou:
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation. - Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer:
uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning. - Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. - Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. - Sean Oesch, Rob Gillen, Tom Karnowski:
An Integrated Platform for Collaborative Data Analytics. - Xiangyu Ni, Bill Goodwine:
Frequency Response of Transmission Lines with Unevenly Distributed Properties with Application to Railway Safety Monitoring. - Homayoun Valafar, Okan K. Ersoy, Faramarz Valafar:
Distributed Global Optimization (DGO). - Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. - Sidharth Singla:
Checking Fact Worthiness using Sentence Embeddings. - Benjamin Ramtoula, Adam Caccavale, Giovanni Beltrame, Mac Schwager:
MSL-RAPTOR: A 6DoF Relative Pose Tracker for Onboard Robotic Perception. - Ching Jin, Yifang Ma, Brian Uzzi:
Prizes Signal Scientific Revolutions. - Shubhankar Gahlot, Junqi Yin, Mallikarjun Shankar:
Data optimization for large batch distributed training of deep neural networks. - Stylianos Loukas Vasileiou, Alessandro Previti, William Yeoh:
On Exploiting Hitting Sets for Model Reconciliation. - Julian Zaidi, Jonathan Boilard, Ghyslain Gagnon, Marc-André Carbonneau:
Measuring Disentanglement: A Review of Metrics. - Tushar Agarwal, Nithin Sugavanam, Emre Ertin:
Sparse Signal Models for Data Augmentation in Deep Learning ATR. - Mark Connor, Michael O'Neill:
Optimizing the Parameters of A Physical Exercise Dose-Response Model: An Algorithmic Comparison. - Mauricio Delbracio, Hossein Talebi, Peyman Milanfar:
Projected Distribution Loss for Image Enhancement. - Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. - Alessio Merlo, Antonio Ruggia, Luigi Sciolla, Luca Verderame:
ARMAND: Anti-Repackaging through Multi-pattern Anti-tampering based on Native Detection. - He Yin, Peter J. Seiler, Ming Jin, Murat Arcak:
Imitation Learning with Stability and Safety Guarantees. - Elizabeth Bradley, Madhav V. Marathe, Melanie Moses, William D. Gropp, Daniel Lopresti:
Pandemic Informatics: Preparation, Robustness, and Resilience. - Rachana Balasubramanian, Samuel Sharpe, Brian Barr, Jason D. Wittenbach, C. Bayan Bruss:
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations. - Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Ting Wang:
TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask). - William Gropp, Sujata Banerjee, Ian T. Foster:
Infrastructure for Artificial Intelligence, Quantum and High Performance Computing. - Henrik I. Christensen, Maria L. Gini, Odest Chadwicke Jenkins, Holly A. Yanco:
Robotics Enabling the Workforce. - Jawher Jerray, Laurent Fribourg:
Generation of bounded invariants via stroboscopic set-valued maps: Application to the stability analysis of parametric time-periodic systems. - Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia:
Learning to Recognize Patch-Wise Consistency for Deepfake Detection. - Chris R. Serrano, Pape M. Sylla, Michael A. Warren:
Generate and Verify: Semantically Meaningful Formal Analysis of Neural Network Perception Systems. - Daniel C. Elton:
Applying Deutsch's concept of good explanations to artificial intelligence and neuroscience - an initial exploration. - Mauricio Delbracio, Ignacio Garcia-Dorado, Sungjoon Choi, Damien Kelly, Peyman Milanfar:
Polyblur: Removing mild blur by polynomial reblurring. - Qingyi Pan, Wenbo Hu, Jun Zhu:
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting. - Brian Reily, Hao Zhang:
Simultaneous View and Feature Selection for Collaborative Multi-Robot Recognition. - Tiantu Xu, Kaiwen Shen, Yang Fu, Humphrey Shi, Felix Xiaozhu Lin:
Clique: Spatiotemporal Object Re-identification at the City Scale. - Brian Reily, Hao Zhang:
Team Assignment for Heterogeneous Multi-Robot Sensor Coverage through Graph Representation Learning. - Tunazzina Islam, Dan Goldwasser:
Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information. - Huai Chen, Jieyu Li, Renzhen Wang, Yijie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang:
Unsupervised Learning of Local Discriminative Representation for Medical Images. - Brian Reily, Terran Mott, Hao Zhang:
Adaptation to Team Composition Changes for Heterogeneous Multi-Robot Sensor Coverage. - Brian Reily, Terran Mott, Hao Zhang:
Game Theoretic Decentralized and Communication-Free Multi-Robot Navigation. - Yiming Qian, Hao Zhang, Yasutaka Furukawa:
Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses. - Nethra Viswanathan:
Adaptive Multi-Agent E-Learning Recommender Systems. - Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire:
Machine Learning for Detecting Data Exfiltration. - Mayank Agrawal, Sharon C. Glotzer:
Muscle-inspired flexible mechanical logic architecture for colloidal robotics. - Dingtong Yang, Navjyoth J. S. Sarma, Michael F. Hyland, R. Jayakrishnan:
Dynamic Modeling and Real-time Management of a System of EV Fast-charging Stations. - Guidan Yao, Ahmed M. Bedewy, Ness B. Shroff:
Battle between Rate and Error in Minimizing Age of Information. - Kai-Cheng Yang, Francesco Pierri, Pik-Mai Hui, David Axelrod, Christopher Torres-Lugo, John Bryden, Filippo Menczer:
The COVID-19 Infodemic: Twitter versus Facebook. - Jiho Noh, Ramakanth Kavuluru:
Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization. - Malgorzata Peszynska, Ralph E. Showalter:
Approximation of Hysteresis Functional. - Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen:
Learning to Recover 3D Scene Shape from a Single Image. - Tsz-Chiu Au:
Extending the Range of Drone-based Delivery Services by Exploration. - Kendrick M. Shepherd, René R. Hiemstra, Thomas J. R. Hughes:
The Quad Layout Immersion: A Mathematically Equivalent Representation of a Surface Quadrilateral Layout. - Ravi Sharma, Sri Divya Pagadala, Pratool Bharti, Sriram Chellappan, Trine Schmidt, Raj Goyal:
Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text. - Zhendong Chu, Haiyun Jiang, Yanghua Xiao, Wei Wang:
InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction. - Pengju Zhang, Yihong Wu, Jiagang Zhu:
Semi-Global Shape-aware Network. - Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. - Xiang Cheng, Hanchao Yang, Archanaa S. Krishnan, Patrick Schaumont, Yaling Yang:
KHOVID: Interoperable Privacy Preserving Digital Contact Tracing. - Ziwei Wang, Yonhon Ng, Pieter van Goor, Robert E. Mahony:
Event Camera Calibration of Per-pixel Biased Contrast Threshold. - Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung:
Node Failure Localization: Theorem Proof. - Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. - Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi:
On the Limitations of Denoising Strategies as Adversarial Defenses. - Lavanya Umapathy, Mahesh Bharath Keerthivasan, Natalie M. Zahr, Ali Bilgin, Manojkumar Saranathan:
A Contrast Synthesized Thalamic Nuclei Segmentation Scheme using Convolutional Neural Networks. - Jiatu Li:
Formalization of PAL·S5 in Proof Assistant. - Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. - Tianxiao Zhang, Xiaohan Zhang, Yiju Yang, Zongbo Wang, Guanghui Wang:
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter. - Kevin Rao:
Metrical Task Systems with Online Machine Learned Advice. - Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. - Srujan Teja Thomdapu, Harshvardhan, Ketan Rajawat:
Stochastic Compositional Gradient Descent under Compositional constraints. - Soo Ye Kim, Kfir Aberman, Nori Kanazawa, Rahul Garg, Neal Wadhwa, Huiwen Chang, Nikhil Karnad, Munchurl Kim, Orly Liba:
Zoom-to-Inpaint: Image Inpainting with High Frequency Details. - Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan:
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos. - Jiayu Pan, Ahmed M. Bedewy, Yin Sun, Ness B. Shroff:
Minimizing Age of Information via Scheduling over Heterogeneous Channels. - Taiga Kashima, Yoshihiro Yamada, Shunta Saito:
Joint Search of Data Augmentation Policies and Network Architectures. - David Deng, Avideh Zakhor:
Temporal LiDAR Frame Prediction for Autonomous Driving. - Xiang Hu, Zujie Wen, Yafang Wang, Xiaolong Li, Gerard de Melo:
Interactive Question Clarification in Dialogue via Reinforcement Learning. - Nihal Singh, Jay Karhade, Ishika Bhattacharya, Prathamesh Saraf, Plava Kattamuri, Alivelu Manga Parimi:
On-board Electrical, Electronics and Pose Estimation System for Hyperloop Pod Design. - Guodong Xu, Ziwei Liu, Chen Change Loy:
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup. - Svetlana Puzynina, Mathieu Sablik:
On entropies of block-gluing subshifts. - Xia Chen, Jianren Wang, David Held, Martial Hebert:
PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection. - Matthieu Zimmer, Umer Siddique, Paul Weng:
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. - Andrew Bennett, Nathan Kallus:
The Variational Method of Moments. - Huabing Lu, Xianzhong Xie, Zhaoyuan Shi, Hongjiang Lei, Helin Yang, Jun Cai:
Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users. - Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang:
Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation. - Hongfei Zhu, Zhiwei Cao, Yuping Zhao, Dou Li, Yanjun Yang:
Fast List Decoders for Polarization-Adjusted Convolutional (PAC) Codes. - Zhuo Yang, Yufei Han, Xiangliang Zhang:
Characterizing the Evasion Attackability of Multi-label Classifiers. - Mistura Muibideen, Rajesh Prasad:
A Fast Algorithm for Heart Disease Prediction using Bayesian Network Model. - Ashish Kapoor:
Helping Reduce Environmental Impact of Aviation with Machine Learning. - Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr:
Multi-shot Temporal Event Localization: a Benchmark. - Jean-François Coulombel, Grégory Faye:
Generalized gaussian bounds for discrete convolution powers. - Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen:
FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling. - Masahiro Sato, Sho Takemori, Janmajay Singh, Qian Zhang:
Causality-Aware Neighborhood Methods for Recommender Systems. - Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. - Patrick Huber, Giuseppe Carenini:
Unsupervised Learning of Discourse Structures using a Tree Autoencoder. - Sebastian Kersting, Michael Kohler:
Uncertainty Quantification in Case of Imperfect Models: A Review. - Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan:
Enhancing Balanced Graph Edge Partition with Effective Local Search. - Yaozhong Gan, Zhe Zhang, Xiaoyang Tan:
Stabilizing Q Learning Via Soft Mellowmax Operator. - Minglun Han, Linhao Dong, Shiyu Zhou, Bo Xu:
cif-based collaborative decoding for end-to-end contextual speech recognition. - Magnús M. Halldórsson, Murilo Santos de Lima:
Query-Competitive Sorting with Uncertainty. - Albert Atserias, Ilario Bonacina, Susanna F. de Rezende, Massimo Lauria, Jakob Nordström, Alexander A. Razborov:
Clique Is Hard on Average for Regular Resolution. - Abel Torres Montoya:
Computational principles of intelligence: learning and reasoning with neural networks. - Katrin D. Bartl-Pokorny, Florian B. Pokorny, Anton Batliner, Shahin Amiriparian, Anastasia Semertzidou, Florian Eyben, Elena Kramer, Florian Schmidt, Rainer Schönweiler, Markus Wehler, Björn W. Schuller:
The voice of COVID-19: Acoustic correlates of infection. - Costanza Conti, Sergio López-Ureña, Lucia Romani:
Annihilation Operators for Exponential Spaces in Subdivision. - Kevin Denamganaï, James Alfred Walker:
ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games. - Quan Quan, Qiyuan Wang, Liu Li, Yuanqi Du, S. Kevin Zhou:
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models. - Filippo Masi, Ioannis Stefanou, Victor Maffi-Berthier:
Scaling laws for the rigid-body response of masonry structures under blast loads. - Moran Li, Yuan Gao, Nong Sang:
Exploiting Learnable Joint Groups for Hand Pose Estimation. - Aaqib Ashfaq Patel, Abdul Mateen Ahmed, Mohammed Zafar Ali Khan:
Parity Check Codes for Second Order Diversity. - Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. - Nima Anari, Nathan Hu, Amin Saberi, Aaron Schild:
Sampling Arborescences in Parallel. - David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu:
Embodied Visual Active Learning for Semantic Segmentation. - Adrien Le-Coz, Tahar Nabil, François Courtot:
Towards Optimal District Heating Temperature Control in China with Deep Reinforcement Learning. - Jan Gmys:
Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers. - Fabrizio Cicala, Weicheng Wang, Tianhao Wang, Ninghui Li, Elisa Bertino, Faming Liang, Yang Yang:
PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols. - Qiaohua Liu, Zhigang Jia, Yimin Wei:
A contribution to condition numbers of the multidimensional total least squares problem with linear equality constraint. - Milad Mirbabaie, Julian Marx, Lea-Marie Braun, Stefan Stieglitz:
Digital Detox - Mitigating Digital Overuse in Times of Remote Work and Social Isolation. - Julian Marx, Felix Brünker, Milad Mirbabaie, Eric Hochstrate:
Conspiracy Machines - The Role of Social Bots during the COVID-19 Infodemic. - Eyal Gofer, Guy Gilboa:
Experts with Lower-Bounded Loss Feedback: A Unifying Framework. - Lennart Hofeditz, Milad Mirbabaie, Stefan Stieglitz:
Virtually Extended Coworking Spaces? - The Reinforcement of Social Proximity, Motivation and Knowledge Sharing Through ICT. - Bettina Könighofer, Julian Rudolf, Alexander Palmisano, Martin Tappler, Roderick Bloem:
Online Shielding for Stochastic Systems. - Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita:
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN. - Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam:
Few-shot Sequence Learning with Transformers. - Sérgio Guerreiro, Pedro Sousa:
A framework to semantify BPMN models using DEMO business transaction pattern. - Lakmal Meegahapola, Daniel Gatica-Perez:
Smartphone Sensing for the Well-being of Young Adults: A Review. - Eric López-López, Carlos Vázquez Regueiro, Xosé M. Pardo:
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition. - Léo Maczyta, Patrick Bouthemy, Olivier Le Meur:
Trajectory saliency detection using consistency-oriented latent codes from a recurrent auto-encoder. - Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan:
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning. - Prashant Singh, Mona Mohamed Elamin, Salman Toor:
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets. - A. Stanic, B. Brank, Adnan Ibrahimbegovic, Hermann G. Matthies:
Crack propagation simulation without crack tracking algorithm: embedded discontinuity formulation with incompatible modes. - Marvin Wyrich, Andreas Preikschat, Daniel Graziotin, Stefan Wagner:
The Mind Is a Powerful Place: How Showing Code Comprehensibility Metrics Influences Code Understanding. - Chaoqing Tang:
Concurrent Encryption and Authentication for Wireless Networks using Compressed Sensing. - Brendan Keith:
A priori error analysis of high-order LL* (FOSLL*) finite element methods. - Anh Truong, Austin Walters, Jeremy Goodsitt:
Sensitive Data Detection with High-Throughput Neural Network Models for Financial Institutions. - Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. - Amit Sahu, Noelia Vállez, Rosana Rodríguez-Bobada, Mohamad Alhaddad, Omar Moured, Georg Neugschwandtner:
Application of the Neural Network Dependability Kit in Real-World Environments. - Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski:
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. - Guruprasad Raghavan, Matt Thomson:
Sparsifying networks by traversing Geodesics. - Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar:
Kernelized Classification in Deep Networks. - Meinolf Sellmann, Tapan Shah:
Cost-sensitive Hierarchical Clustering for Dynamic Classifier Selection. - Jatin Sharma, Shobha Lata:
Draw your Neural Networks. - Hongbo Zou, Guangjing Chen, Pengtao Xie, Sean Chen, Yongtian He, Hochih Huang, Zheng Nie, Hongbao Zhang, Tristan Bala, Kazi Tulip, Yuqi Wang, Shenlin Qin, Eric P. Xing:
Validate and Enable Machine Learning in Industrial AI. - Ying Fan, Yifei Ming:
Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions. - Rajius Idzalika:
Who is more ready to get back in shape? - Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar:
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. - Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay:
Predictive K-means with local models. - Louis Desreumaux, Vincent Lemaire:
Learning active learning at the crossroads? evaluation and discussion. - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning, a brief introduction. - Nazanin Fouladgar, Kary Främling:
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory. - Mengzhang Li, Zhanxing Zhu:
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting. - Armin Goudarzi, Carsten Spehr, Steffen Herbold:
Automatic source localization and spectra generation from deconvolved beamforming maps. - Yuxuan Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Aditi Nevgi, Elif Ekinci:
On the Importance of Diversity in Re-Sampling for Imbalanced Data and Rare Events in Mortality Risk Models. - Alberto Parravicini, Arnaud Delamare, Marco Arnaboldi, Marco D. Santambrogio:
DAG-based Scheduling with Resource Sharing for Multi-task Applications in a Polyglot GPU Runtime. - Tian Lan, Xian-Ling Mao, Xiaoyan Gao, Wei Wei, Heyan Huang:
Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing. - Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
A White Box Analysis of ColBERT. - Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs:
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. - Alexander Egiazarov, Fabio Massimo Zennaro, Vasileios Mavroeidis:
Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions. - Luka Daoud, Muhammad Kamran Latif, H. S. Jacinto, Nader Rafla:
A fully pipelined FPGA accelerator for scale invariant feature transform keypoint descriptor matching, . - Sadique Adnan Siddiqui, Axel Vierling, Karsten Berns:
Multi-Modal Depth Estimation Using Convolutional Neural Networks. - Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski:
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. - Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper:
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues. - Marcel Wienöbst, Max Bannach, Maciej Liskiewicz:
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs. - Nauros Romim, Mosahed Ahmed, Hriteshwar Talukder, Md Saiful Islam:
Hate Speech detection in the Bengali language: A dataset and its baseline evaluation. - Meng-Hao Guo, Junxiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
PCT: Point Cloud Transformer. - Akshay Shetty, Grace Xingxin Gao:
Trajectory Planning Under Stochastic and Bounded Sensing Uncertainties Using Reachability Analysis. - Sanja Stajner, Seren Yenikent, Marc Franco-Salvador:
Benchmarking Automatic Detection of Psycholinguistic Characteristics for Better Human-Computer Interaction. - Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Grégory Rogez, Francesc Moreno-Noguer, Ville Kyrki:
Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps. - Vijay Prakash Dwivedi, Xavier Bresson:
A Generalization of Transformer Networks to Graphs. - Xuanhong Chen, Kairui Feng, Naiyuan Liu, Yifan Lu, Zhengyan Tong, Bingbing Ni, Ziang Liu, Ning Lin:
RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling. - Lóránt Farkas:
Trellis Code Error Exponent From Results for Asynchronous Multiple Access Channels. - Ahsan Al Zaki Khan, Gürsel Serpen:
Intrusion Detection and identification System Design and Performance Evaluation for Industrial SCADA Networks. - Harshit Rampal, Aman Mohanty:
Efficient CNN-LSTM based Image Captioning using Neural Network Compression. - Cynthia Shen, Mario Krenn, Sagi Eppel, Alán Aspuru-Guzik:
Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations. - Oliver Sheridan-Methven, Michael B. Giles:
Approximating inverse cumulative distribution functions to produce approximate random variables. - Ilias Diakonikolas, Daniel M. Kane:
Hardness of Learning Halfspaces with Massart Noise. - Wenxin Li:
A Note on Optimizing the Ratio of Monotone Supermodular Functions. - Andrei Cozma, Christoph Reisinger:
Simulation of conditional expectations under fast mean-reverting stochastic volatility models. - Daniel Yarnell, Xian Wang:
Robust Image Captioning. - Simon Hirlaender, Niky Bruchon:
Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL. - Oliver Sheridan-Methven, Michael B. Giles:
Rounding error using low precision approximate random variables. - Feng Wang, Huaping Liu:
Understanding the Behaviour of Contrastive Loss. - Hojjat Rakhshani, Lhassane Idoumghar, Soheila Ghambari, Julien Lepagnot, Mathieu Brévilliers:
On the performance of deep learning for numerical optimization: an application to protein structure prediction. - Xinxin Zhu, Weining Wang, Longteng Guo, Jing Liu:
AutoCaption: Image Captioning with Neural Architecture Search. - Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang:
Interpretable Image Clustering via Diffeomorphism-Aware K-Means. - Gabriel Istrate:
Game-theoretic Models of Moral and Other-Regarding Agents. - Kevin Lin, Lijuan Wang, Zicheng Liu:
End-to-End Human Pose and Mesh Reconstruction with Transformers. - Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman:
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. - Sofian Chaybouti, Achraf Saghe, Aymen Shabou:
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering. - Barnaby Martin, Daniël Paulusma, Siani Smith:
Hard Problems That Quickly Become Very Easy. - Vladislav Belyaev, Aleksandra Malysheva, Aleksei Shpilman:
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box. - Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz:
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. - Bahman Moraffah, Christ Richmond, Raha Moraffah, Antonia Papandreou-Suppappola:
Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter. - Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu:
Neural Radiance Flow for 4D View Synthesis and Video Processing. - Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner:
SceneFormer: Indoor Scene Generation with Transformers. - Celina M. H. de Figueiredo, Alexsander Andrade de Melo, Fabiano de S. Oliveira, Ana Silva:
Maximum cut on interval graphs of interval count five is NP-complete. - Federico Bianchi, Bingqing Yu, Jacopo Tagliabue:
BERT Goes Shopping: Comparing Distributional Models for Product Representations. - Akshay Shetty, Derek Knowles, Grace Xingxin Gao:
Connectivity Maintenance for Multi-Robot Systems Under Motion and Sensing Uncertainties Using Distributed ADMM-based Trajectory Planning. - Alexander Watson:
Deep Learning Techniques for Super-Resolution in Video Games. - Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. - Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine:
ViNG: Learning Open-World Navigation with Visual Goals. - Petr A. Golovach, Daniël Paulusma, Erik Jan van Leeuwen:
Induced Disjoint Paths in AT-free Graphs. - Zeyuan Allen-Zhu, Yuanzhi Li:
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning. - Magdalena Biesialska, Katarzyna Biesialska, Marta R. Costa-jussà:
Continual Lifelong Learning in Natural Language Processing: A Survey. - Gemma Massonis, Julio R. Banga, Alejandro Fernández Villaverde:
Repairing dynamic models: a method to obtain identifiable and observable reparameterizations with mechanistic insights. - Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer:
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. - Steinar Laenen, Luca Bertinetto:
On Episodes, Prototypical Networks, and Few-shot Learning. - Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. - Zhiyuan Li, Yuping Luo, Kaifeng Lyu:
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning. - Patrick Esser, Robin Rombach, Björn Ommer:
Taming Transformers for High-Resolution Image Synthesis. - Georgi Tinchev, Shuda Li, Kai Han, David Mitchell, Rigas Kouskouridas:
XResolution Correspondence Networks. - Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Human Mesh Recovery from Multiple Shots. - Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing:
High-Throughput Synchronous Deep RL. - Jessica De Oliveira Moreira, Amey Praveen Pasarkar, Wenjun Chen, Wenkai Hu, Jan Janak, Henning Schulzrinne:
Social Distancing and the Internet: What Can Network Performance Measurements Tell Us? - Hanrui Wang, Zhekai Zhang, Song Han:
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. - Ronghang Hu, Deepak Pathak:
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image. - Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. - Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, Jitendra Malik:
Reconstructing Hand-Object Interactions in the Wild. - Chengyuan Li, Jun Liu, Hailong Hong, Wenju Mao, Chenjie Wang, Chudi Hu, Xin Su, Bin Luo:
Object Detection based on OcSaFPN in Aerial Images with Noise. - Homayoun Valafar, Okan K. Ersoy, Faramarz Valafar:
Parallel Implementation of Distributed Global Optimization (DGO). - Craig Gross, Mark A. Iwen, Lutz Kämmerer, Toni Volkmer:
Sparse Fourier Transforms on Rank-1 Lattices for the Rapid and Low-Memory Approximation of Functions of Many Variables. - Amirhossein Dadashzadeh, Alan L. Whone, Michal Rolinski, Majid Mirmehdi:
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment. - Artem Betlei, Eustache Diemert, Massih-Reza Amini:
Treatment Targeting by AUUC Maximization with Generalization Guarantees. - Souvik Kundu, Hesham Mostafa, Sharath Nittur Sridhar, Sairam Sundaresan:
Attention-based Image Upsampling. - Amareshwara Sainadh Chamarthi, Steven H. Frankel:
High-Order Central-Upwind shock capturing scheme using a Boundary Variation Diminishing (BVD) Algorithm. - Zhenduo Zhai, Ismail Akturk:
Temporal-Rate Encoding to Realize Unary Positional Representation in Spiking Neural Systems. - Michael C. Krygier, Tyler LaBonte, Carianne Martinez, Chance Norris, Krish Sharma, Lincoln N. Collins, Partha P. Mukherjee, Scott A. Roberts:
Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations. - Jordan Samhi, Alexandre Bartel, Tegawendé F. Bissyandé, Jacques Klein:
RAICC: Revealing Atypical Inter-Component Communication in Android Apps. - Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad:
Sorting in Memristive Memory. - Marc Schoolderman, Jonathan Moerman, Sjaak Smetsers, Marko C. J. D. van Eekelen:
Efficient Verification of Optimized Code: Correct High-speed Curve25519. - Ruida Zhou, Chao Tian, Tie Liu:
Individually Conditional Individual Mutual Information Bound on Generalization Error. - Vladimir N. Temlyakov, Tino Ullrich:
Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness. - Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman:
Named Entity Recognition in the Legal Domain using a Pointer Generator Network. - Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Kumar Pal, Tran Cao Son, Neeraj Varshney:
Can Transformers Reason About Effects of Actions? - Kayla Bollinger, Hayden Schaeffer:
Reduced Order Modeling using Shallow ReLU Networks with Grassmann Layers. - Rajesh Kumar, Can Isik, Vir V. Phoha:
Treadmill Assisted Gait Spoofing (TAGS): An Emerging Threat to wearable Sensor-based Gait Authentication. - Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun:
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. - Ishmam Zabir, Ahmed Maksud, Gaojie Chen, Brian M. Sadler, Yingbo Hua:
Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers. - Ziyan Wang, Timur M. Bagautdinov, Stephen Lombardi, Tomas Simon, Jason M. Saragih, Jessica K. Hodgins, Michael Zollhöfer:
Learning Compositional Radiance Fields of Dynamic Human Heads. - Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk:
Toward Transformer-Based Object Detection. - Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung:
Failure Localization Capability: Theorem Proof and Evaluation. - Matthew Bach-Nutman:
Understanding The Top 10 OWASP Vulnerabilities. - Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi:
Information-Preserving Contrastive Learning for Self-Supervised Representations. - Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky:
Relightable 3D Head Portraits from a Smartphone Video. - Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung, Jessica Lowe:
Fundamental Theories in Node Failure Localization. - Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz:
Predicting Decisions in Language Based Persuasion Games. - Omid Madani, Thanh Ngo, Weifei Zeng, Sai Ankith Averine, Sasidhar Evuru, Varun Malhotra, Shashidhar Gandham, Navindra Yadav:
Binomial Tails for Community Analysis. - Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley:
Link Identifiability with Two Monitors: Proof of Selected Theorems. - Mai Gehrke, Tomas Jakl, Luca Reggio:
A duality theoretic view on limits of finite structures: Extended version. - Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien McCarthy, Uwe Aickelin:
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods. - Emma Ozanich, Aaron Thode, Peter Gerstoft, Lauren A. Freeman, Simon E. Freeman:
Unsupervised clustering of coral reef bioacoustics. - Anichur Rahman, Md. Jahidul Islam, Ziaur Rahman, Md. Mahfuz Reza, Adnan Anwar, M. A. Parvez Mahmud, Mostofa Kamal Nasir, Rafidah Md Noor:
DistB-Condo: Distributed Blockchain-based IoT-SDN Model for Smart Condominium. - Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Artsiom Ablavatski, Matthias Grundmann:
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations. - Cong Tran, Dung Do Vu, Won-Yong Shin:
An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media. - Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent J. Hecht:
Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies. - Ryan J. Kinnear, Ravi R. Mazumdar, Peter Marbach:
Optimal Real-time Bidding Policies for Contract Fulfillment in Second Price Auctions. - Yanran Ding, Abhishek Pandala, Chuanzheng Li, Young Ha Shin, Hae-Won Park:
Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds. - Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm:
ErGAN: Generative Adversarial Networks for Entity Resolution. - Chendi Lin, Wenhao Luo, Katia P. Sycara:
Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-Robot Systems. - Anichur Rahman, Sara Umme, Dipanjali Kundu, Saiful Islam, Md. Jahidul Islam, Mahedi Hasan, Ziaur Rahman, Mostofa Kamal Nasir:
DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through Software Defined Networking-IoT Enabled Architecture. - Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh:
Flow-based Generative Models for Learning Manifold to Manifold Mappings. - Zhengeng Yang, Hongshan Yu, Yong He, Zhi-Hong Mao, Ajmal Mian:
Self-supervised Learning with Fully Convolutional Networks. - Chengqi Zhao, Mingxuan Wang, Lei Li:
NeurST: Neural Speech Translation Toolkit. - Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Jimeng Sun:
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. - Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. - Zite Jiang, Tao Liu, Shuai Zhang, Zhen Guan, Mengting Yuan, Haihang You:
Fast and Efficient Parallel Breadth-First Search with Power-law Graph Transformation. - Jerry Zikun Chen, Shi Yu, Haoran Wang:
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning. - Palash Dey, Suman Kalyan Maity, Sourav Medya, Arlei Silva:
Network Robustness via Global k-cores. - Zhao Wang, Aron Culotta:
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals. - Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia:
3D Object Classification on Partial Point Clouds: A Practical Perspective. - Peter Schaldenbrand, Jean Oh:
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent. - Yian Chen, Yuehaw Khoo, Michael Lindsey:
Multiscale semidefinite programming approach to positioning problems with pairwise structure. - Sifan Wang, Hanwen Wang, Paris Perdikaris:
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks. - Puneet Bakshi, Sukumar Nandi:
Privacy Enhanced DigiLocker using Ciphertext-Policy Attribute-Based Encryption. - Ayush Kaushal, Tejas Vaidhya:
Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets. - Karthik Bhat, Manan Bhandari, ChangSeok Oh, Sujin Kim, Jeeho Yoo:
Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices. - Xiong Liu, Luca A. Finelli, Greg L. Hersch, Iya Khalil:
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing. - Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois C. Knoll:
PointINet: Point Cloud Frame Interpolation Network. - Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang:
Fairness and Accuracy in Federated Learning. - Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. - Maxim A. Olshanskii, Alexander Zhiliakov:
Recycling augmented Lagrangian preconditioner in an incompressible fluid solver. - Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen:
Mention Extraction and Linking for SQL Query Generation. - Kieran Browne, Ben Swift:
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks. - Kai Wang, Yuxin Gu, Xiaojiang Peng, Baigui Sun, Hao Li:
AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition. - Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao:
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. - Martianus Frederic Ezerman, John Mark Lampos, San Ling, Buket Özkaya, Jareena Tharnnukhroh:
A Comparison of Distance Bounds for Quasi-Twisted Codes. - Flemming Nielson, Hanne Riis Nielson:
Program Analysis (an Appetizer). - Gabriel Moldovan, Guillaume Lehnasch, Laurent Cordier, Marcello Meldi:
A multigrid/ensemble Kalman Filter strategy for assimilation of unsteady flows. - Noriki Fujisato, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
The Parameterized Suffix Tray. - Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, Mojtaba Shahin:
A First Look at Human Values-Violation in App Reviews. - Tingxiang Fan, Dawei Wang, Wenxi Liu, Jia Pan:
Crowd-Driven Mapping, Localization and Planning. - Walter Boscheri, Giacomo Dimarco, Lorenzo Pareschi:
Modeling and simulating the spatial spread of an epidemic through multiscale kinetic transport equations. - Xiaozhong Ji, Guangpin Tao, Yun Cao, Ying Tai, Tong Lu, Chengjie Wang, Jilin Li, Feiyue Huang:
Frequency Consistent Adaptation for Real World Super Resolution. - Jiakuo Zuo, Yuanwei Liu, Liang Yang, Lingyang Song, Ying-Chang Liang:
Reconfigurable Intelligent Surface Enhanced NOMA Assisted Backscatter Communication System. - Mana Iwata, Yoshiro Matsuda, Yoshimasa Utsumi, Yoshitoshi Tanaka, Kazuhide Nakata:
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes. - Yuxing Huang, Erqi Huang, Linsen Chen, Shaodi You, Ying Fu, Qiu Shen:
Hyperspectral Image Semantic Segmentation in Cityscapes. - Leifeng He, Guanjun Liu:
Petri Net Based Symbolic Model Checking for Computation Tree Logic of Knowledge. - Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, Guoquan Huang:
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth. - Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components. - Conor McMenamin, Vanesa Daza, Matteo Pontecorvi:
Achieving State Machine Replication without Honesty Assumptions. - Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Hierarchical principles of embodied reinforcement learning: A review. - Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. - Wenjun Mei, Ge Chen, Noah E. Friedkin, Florian Dörfler:
Structural Balance and Interpersonal Appraisals Dynamics: Beyond All-to-All and Two-Faction Networks. - Usama Mehmood, Scott D. Stoller, Radu Grosu, Shouvik Roy, Amol Damare, Scott A. Smolka:
A Distributed Simplex Architecture for Multi-Agent Systems. - João Lousada, Miguel Ribeiro:
Neural Network Embeddings for Test Case Prioritization. - Jianbo Liu, Sijie Ren, Yuanjie Zheng, Xiaogang Wang, Hongsheng Li:
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection. - Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang:
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. - Emmanuelle Anceaume, Antonella Del Pozzo, Thibault Rieutord, Sara Tucci Piergiovanni:
On Finality in Blockchains. - Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui, Judith Möller, Daan Odijk, Natali Helberger:
Recommenders with a mission: assessing diversity in newsrecommendations. - Tianyi Liu, Xiangyu Lin, Weijia Jia, Mingliang Zhou, Wei Zhao:
Regularized Attentive Capsule Network for Overlapped Relation Extraction. - Nargess Ghahremani, Julian C. Bradfield:
On probabilistic stable event structures. - Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong:
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting. - Paolo Liberatore:
Reconstructing a single-head formula to facilitate logical forgetting. - Yaping Lin, George Vosselman, Yanpeng Cao, Michael Ying Yang:
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds. - Sultan Javed Majeed, Marcus Hutter:
Exact Reduction of Huge Action Spaces in General Reinforcement Learning. - Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer:
Classification with Strategically Withheld Data. - Michael Schröder, Jürgen Cito:
An Empirical Investigation of Command-Line Customization. - Hanlei Zhang, Hua Xu, Ting-En Lin:
Deep Open Intent Classification with Adaptive Decision Boundary. - Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed:
On Modality Bias in the TVQA Dataset. - Michael Robinson:
Looking for non-compliant documents using error messages from multiple parsers. - Anilesh K. Krishnaswamy, Zhihao Jiang, Kangning Wang, Yu Cheng, Kamesh Munagala:
Fair for All: Best-effort Fairness Guarantees for Classification. - An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, Jie Zhou:
SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation. - Fidan Mehmeti, Thomas F. La Porta:
Resource Allocation for Improved User Experience with Live Video Streaming in 5G. - Omkar Gurjar, Manish Gupta:
Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews. - Iva Vasic, Bata Vasic, Zorica B. Nikolic:
Artificial Intelligence ordered 3D vertex importance. - Zhihong Shao, Zitao Liu, Jiyong Zhang, Zhongqin Wu, Minlie Huang:
AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text. - Mette Gamst, Stefanie Buchholz, David Pisinger:
Time Aggregation Techniques Applied to a Capacity Expansion Model for Real-Life Sector Coupled Energy Systems. - Antonio Correia de Sa Barreto Neto, Felipe Farias, Marco Aurelio Tomaz Mialaret, Bruno Cartaxo, Priscila Alves Lima, Paulo Romero Martins Maciel:
Building Energy Consumption Models Based On Smartphone User's Usage Patterns. - Saja AL-Tawalbeh, Mohammad Al-Smadi:
A Benchmark Arabic Dataset for Commonsense Explanation. - Qiang Liu, Tao Han, Jiang (Linda) Xie, BaekGyu Kim:
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing. - Enis Karaarslan, E. Konacakli:
Data Storage in the Decentralized World: Blockchain and Derivatives. - Axel Nilsson, Xavier Bresson:
An Experimental Study of the Transferability of Spectral Graph Networks. - Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin:
Spacecraft Collision Risk Assessment with Probabilistic Programming. - Mrdjan Jankovic, Mario A. Santillo:
Collision Avoidance and Liveness of Multi-agent Systems with CBF-based Controllers. - Nguyen Manh Duc Tuan, Pham Quang Nhat Minh:
ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting Unreliable Information on Vietnamese SNS. - Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos, Hans Vandierendonck:
Understood in Translation, Transformers for Domain Understanding. - Pham Quang Nhat Minh:
An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020. - Yuup van Engelshoven, Stefanie Roos:
The Merchant: Avoiding Payment Channel Depletion through Incentives. - Amir Abboud, Robert Krauthgamer, Ohad Trabelsi:
Subcubic Algorithms for Gomory-Hu Tree in Unweighted Graphs. - Jinyin Chen, Zhen Wang, Haibin Zheng, Jun Xiao, Zhaoyan Ming:
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries. - Feiyan Hu, Eva Mohedano, Noel E. O'Connor, Kevin McGuinness:
Temporal Bilinear Encoding Network of Audio-Visual Features at Low Sampling Rates. - Thomas Winterbottom, Sarah Xiao, Alistair McLean, Noura Al Moubayed:
Trying Bilinear Pooling in Video-QA. - Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. - Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä:
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. - Masha Medvedeva, Martijn Wieling, Michel Vols:
The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems. - Matthias Kirchhart, Donat Weniger:
Analytic Integration of the Newton Potential over Cuboids and an Application to Fast Multipole Methods. - Sheetal Swain, Rakesh Mohanty, Debasis Dwibedy:
Results on Competitiveness of Online Shortest Remaining Processing Time(SRPT) Scheduling with Special Classes of Inputs. - Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang:
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. - Tahereh Arabghalizi, Alexandros Labrinidis:
Multi-characteristic Subject Selection from Biased Datasets. - Chris Chhak, Andrew Tolmach, Sean Noble Anderson:
Towards Formally Verified Compilation of Tag-Based Policy Enforcement. - Rachit Agarwal, Tarek Elsaleh, Elias Z. Tragos:
GDPR-inspired IoT Ontology enabling Semantic Interoperability, Federation of Deployments and Privacy-Preserving Applications. - Sai Praneeth Karimireddy, Lie He, Martin Jaggi:
Learning from History for Byzantine Robust Optimization. - Mikita Sazanovich, Anastasiya Nikolskaya, Yury Belousov, Aleksei Shpilman:
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. - Maxim V. Polyakov, Illarion Popov, Alexander Losev, Alexander V. Khoperskov:
Application of computer simulation results and machine learning in analysis of microwave radiothermometry data. - Daniel Shapiro:
Small Business Classification By Name: Addressing Gender and Geographic Origin Biases. - Jithin Ravi, Tobias Koch:
Scaling Laws for Gaussian Random Many-Access Channels. - Oxana A. Manita, Mark A. Peletier, Jacobus W. Portegies, Jaron Sanders, Albert Senen-Cerda:
Universal Approximation in Dropout Neural Networks. - Gabriele Lagani, Raffaele Mazziotti, Fabrizio Falchi, Claudio Gennaro, Guido Marco Cicchini, Tommaso Pizzorusso, Federico Cremisi, Giuseppe Amato:
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation. - Vinícius da Silva, Tiago Novello, Hélio Lopes, Luiz Velho:
Proceduray - A light-weight engine for procedural primitive ray tracing. - Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu:
Learning Complex 3D Human Self-Contact. - Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor:
Upper and Lower Bounds on the Performance of Kernel PCA. - Paul D. Ledger, B. A. Wilson, A. A. S. Amad, William R. B. Lionheart:
Identification of Metallic Objects using Spectral MPT Signatures: Object Characterisation and Invariants. - Manoel Horta Ribeiro, Robert West:
YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube. - Thibaut Vidal:
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood. - Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang:
aw_nas: A Modularized and Extensible NAS framework. - Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe:
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. - Rufin VanRullen, Ryota Kanai:
Deep Learning and the Global Workspace Theory. - Yanan Zhang, Di Huang, Yunhong Wang:
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection. - Kendric Hood, Joseph Oglio, Mikhail Nesterenko, Gokarna Sharma:
Partitionable Asynchronous Cryptocurrency Blockchain. - Charles Poussot-Vassal, Pierre Vuillemin, Olivier Cantinaud, Florian Sève:
Interpolatory Methods for Generic BizJet Gust Load Alleviation Function. - Abhishek Das, Vivek Dhuri, Ranjushree Pal:
Smart Refrigerator using Internet of Things and Android. - John Zarka, Florentin Guth, Stéphane Mallat:
Separation and Concentration in Deep Networks. - Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel:
Towards Robust Explanations for Deep Neural Networks. - Elias Grünewald, Frank Pallas:
TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering. - Daniël Vos, Sicco Verwer:
Efficient Training of Robust Decision Trees Against Adversarial Examples. - Pouriya Alikhani, Nicolas Brunner, Claude Crépeau, Sébastien Designolle, Raphaël Houlmann, Weixu Shi, Hugo Zbinden:
Experimental relativistic zero-knowledge proofs. - Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell:
Minimax Active Learning. - Zaiwar Ali, Sadia Khaf, Ziaul Haq Abbas, Ghulam Abbas, Lei Jiao, Amna Irshad, Kyung Sup Kwak, Muhammad Bilal:
A Comprehensive Utility Function for Resource Allocation in Mobile Edge Computing. - Aidan Draper, Laura L. Taylor:
A Survey on the Visual Perceptions of Gaussian Noise Filtering on Photography. - Tim Ritmeester, Hildegard Meyer-Ortmanns:
State Estimation of Power Flows for Smart Grids via Belief Propagation. - Sudarshan Mukherjee, Dongsun Kim, Jemin Lee:
Base Station Coordination Scheme for Multi-tier Ultra-dense Networks. - Guangyi Liu, Arash Amini, Martin Takác, Héctor Muñoz-Avila, Nader Motee:
Reinforcement Learning based Multi-Robot Classification via Scalable Communication Structure. - Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Alfred O. Hero III, Indika Rajapakse:
RAILS: A Robust Adversarial Immune-inspired Learning System. - Joyjit Chatterjee, Nina Dethlefs:
XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines. - Yiannis Kantaros, Qi Jin, George J. Pappas:
Sensor-Based Temporal Logic Planning in Uncertain Semantic Maps. - Gaurav Kuppa, Andrew Jong, Vera Liu, Ziwei Liu, Teng-Sheng Moh:
ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on. - Derek DeSantis, Erik Skau, Boian S. Alexandrov:
Factorizations of Binary Matrices - Rank Relations and the Uniqueness of Boolean Decompositions. - Levent Güvenç, Bilin Aksun Güvenç, Xinchen Li, Aravind Chandradoss Arul Doss, Karina Meneses-Cime, Sukru Yaren Gelbal:
Simulation Environment for Safety Assessment of CEAV Deployment in Linden. - José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management. - Hernán Lespay, Karol Suchan:
Territory Design for Dynamic Multi-Period Vehicle Routing Problem with Time Windows. - Adam Petz, Perry Alexander:
An Infrastructure for Faithful Execution of Remote Attestation Protocols. - Mehrdad Shafiei Dizaji, Devin K. Harris:
Computer Vision based Tomography of Structures Using 3D Digital Image Correlation. - Ashirbani Saha, Pantea Fadaiefard, Jessica E. Rabski, Alireza Sadeghian, Michael D. Cusimano:
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review. - Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi:
Human 3D keypoints via spatial uncertainty modeling. - Staal Amund Vinterbo:
A closed form scale bound for the (ε, δ)-differentially private Gaussian Mechanism valid for all privacy regimes. - Elena Arseneva, Pilar Cano, Linda Kleist, Tamara Mchedlidze, Saeed Mehrabi, Irene Parada, Pavel Valtr:
Upward Point Set Embeddings of Paths and Trees. - Srini Bhagavan, Saravanan Balasubramanian, Prasad Reddy Annem, Thuan Ngo, Arun Soundararaj:
Achieving Operational Scalability Using Razee Continuous Deployment Model and Kubernetes Operators. - Scott Workman, Nathan Jacobs:
Dynamic Traffic Modeling From Overhead Imagery. - Ding Ding, H. Howie Huang:
A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games. - Md. Monowar Anjum, Noman Mohammed:
PAARS: Privacy Aware Access Regulation System. - Hao Guo, Behrooz Makki, Dinh-Thuy Phan-Huy, Erik Dahlman, Mohamed-Slim Alouini, Tommy Svensson:
Predictor Antenna: A Technique to Boost the Performance of Moving Relays. - Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding:
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure. - Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. - Richard T. Marriott, Sami Romdhani, Liming Chen:
A 3D GAN for Improved Large-pose Facial Recognition. - Runhua Xu, James Joshi, Chao Li:
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets. - Richard T. Marriott, Sami Romdhani, Stéphane Gentric, Liming Chen:
Robustness of Facial Recognition to GAN-based Face-morphing Attacks. - Jinho Choi, Jie Ding, Ngoc Phuc Le, Zhiguo Ding:
Grant-Free Random Access in Machine-Type Communication: Approaches and Challenges. - Richard T. Marriott, Safa Madiouni, Sami Romdhani, Stéphane Gentric, Liming Chen:
An Assessment of GANs for Identity-related Applications. - Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. - Mark Taylor:
TOPCAT Visualisation over the Web. - Takeshi Miyamae, Kanta Matsuura:
Privacy Analysis and Evaluation Policy of Blockchain-based Anonymous Cryptocurrencies. - Abhishek Kumar Dubey, Michael T. Young, Christopher B. Stanley, Dalton D. Lunga, Jacob D. Hinkle:
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation. - Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian Curless:
No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry. - Jiasi Weng, Jian Weng, Hongwei Huang, Chengjun Cai, Cong Wang:
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism. - Avrim Blum, Shelby Heinecke, Lev Reyzin:
Communication-Aware Collaborative Learning. - Zhuo Wang, Xiao Wang, Wenhua Yang, Yaohong Xiao, Yucheng Liu, Lei Chen:
yNet: a multi-input convolutional network for ultra-fast simulation of field evolvement. - Ahmet Kurt, Suat Mercan, Enes Erdin, Kemal Akkaya:
Enabling Micro-payments on IoT Devices using Bitcoin Lightning Network. - Xinwei Sun, Botong Wu, Wei Chen:
Identifying Invariant Texture Violation for Robust Deepfake Detection. - Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
Learning by Fixing: Solving Math Word Problems with Weak Supervision. - Asaf Ferber, Matthew Kwan, Lisa Sauermann:
List-decodability with large radius for Reed-Solomon codes. - Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li:
Finding Sparse Structure for Domain Specific Neural Machine Translation. - Yibin Wu, Xiaoji Niu, Jian Kuang:
A Comparison of Three Measurement Models for the Wheel-mounted MEMS IMU-based Dead Reckoning System. - Lixing Tan, Zhaohui Zhu, Jinjin Zhang:
On graded semantics of abstract argumentation: Extension-based case. - Yibin Wu, Jian Kuang, Xiaoji Niu:
Wheel-INS2: Multiple MEMS IMU-based Dead Reckoning System for Wheeled Robots with Evaluation of Different IMU Configurations. - Sanmitra Banerjee, Mahdi Nikdast, Krishnendu Chakrabarty:
Modeling Silicon-Photonic Neural Networks under Uncertainties. - Jaehun Jung, Jinhong Jung, U Kang:
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion. - Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar:
MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification. - Rupei Xu, Warren Shull:
Hedge Connectivity without Hedge Overlaps. - Kaiwen Wang, Travis Dick, Maria-Florina Balcan:
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning. - Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang:
Uncertainty-Aware Label Refinement for Sequence Labeling. - Anirudh Koul, Siddha Ganju, Meher Kasam, James Parr:
Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA. - Piotr Antonik, Marc Haelterman, Serge Massar:
Online training for high-performance analogue readout layers in photonic reservoir computers. - Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar:
Random pattern and frequency generation using a photonic reservoir computer with output feedback. - Wentao Zhao, Dalin Zhou, Xinguo Qiu, Wei Jiang:
A pipeline for fair comparison of graph neural networks in node classification tasks. - KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. - Binyi Su, Haiyong Chen, Zhong Zhou:
BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Solar Cell Defect Detection. - Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. - Ludovic Mignot:
A unified implementation of automata and expression structures, and of the associated algorithms using enriched categories. - Yingjie Liu:
Dense Multiscale Feature Fusion Pyramid Networks for Object Detection in UAV-Captured Images. - Aniq Ur Rahman, Mustafa A. Kishk, Mohamed-Slim Alouini:
A Game Theoretic Perspective into the Coexistence of WiFi and NR-U at the 6GHz Unlicensed Bands. - Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang:
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. - Tristan Bruns:
Network Reconnaissance in IPv6-based Residential Broadband Networks. - (Withdrawn) Self-Supervision based Task-Specific Image Collection Summarization.
- Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. - Waqqas-ur-Rehman Butt, Martin Servin:
The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes. - Md. Rafiqul Islam Rabin, Mohammad Amin Alipour:
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith. - Arun Sebastian, Manu Francis, Arun Mathew:
Non-uniform FIR Digital Filter Bank for Hearing Aid Application Using Frequency Response Masking Technique: A Review. - Jean-Philippe Bernardy, Stergios Chatzikyriakidis:
FraCaS: Temporal Analysis. - Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara:
SMART Frame Selection for Action Recognition. - Yao Deng, Xi Zheng, Tianyi Zhang, Guannan Lou, Huai Liu, Miryung Kim:
RMT: Rule-based Metamorphic Testing for Autonomous Driving Models. - Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua:
Camera-aware Proxies for Unsupervised Person Re-Identification. - Yuxin Lin, Ning Hong, Baochang Shi, Zhenhua Chai:
A multiple-relaxation-time lattice Boltzmann model based four-level finite-difference scheme for one-dimensional diffusion equation. - Andrea Abrardo, Davide Dardari, Marco Di Renzo:
Intelligent Reflecting Surfaces: Sum-Rate Optimization Based on Statistical CSI. - Feng Li, Kwok-Yan Lam, Min Jia, Jun Zhao, Xiuhua Li, Li Wang:
Blockchain-Based Approach for Securing Spectrum Trading in Multibeam Satellite Systems. - Idan Pazi, Dvir Ginzburg, Dan Raviv:
Unsupervised Scale-Invariant Multispectral Shape Matching. - Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet:
Top-k Ranking Bayesian Optimization. - Bruno Olivieri, Marcelo Paulon, Markus Endler:
GrADyS: Exploring movement awareness for efficient routing in Ground-and-Air Dynamic Sensor Networks. - Xin Jin, Hongyu Zhang, Xiaodong Li, Haoyang Yu, Beisheng Liu, Shujiang Xie, Amit Kumar Singh, Yujie Li:
Confused Modulo Projection based Somewhat Homomorphic Encryption - Cryptosystem, Library and Applications on Secure Smart Cities. - Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
An Information-Theoretic Framework for Unifying Active Learning Problems. - Jiayu Zhai, Matthew Dobson, Yao Li:
A deep learning method for solving Fokker-Planck equations. - Quentin Cohen-Solal, Tristan Cazenave:
Minimax Strikes Back. - Logambal Madhuanand, Francesco Nex, Michael Ying Yang:
Self-supervised monocular depth estimation from oblique UAV videos. - Changhong Fu, Ziang Cao, Yiming Li, Junjie Ye, Chen Feng:
Siamese Anchor Proposal Network for High-Speed Aerial Tracking. - Waqqas-ur-Rehman Butt, Martin Servin:
Static object detection and segmentation in videos based on dual foregrounds difference with noise filtering. - Vasiliki Kondyli, Mehul Bhatt, Evgenia Spyridonos:
Visuo-Locomotive Complexity as a Component of Parametric Systems for Architecture Design. - Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar:
Fundamental Limits and Tradeoffs in Invariant Representation Learning. - Pushyami Kaveti, Hanumant Singh:
A Light Field Front-end for Robust SLAM in Dynamic Environments. - Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen:
Model-Based Actor-Critic with Chance Constraint for Stochastic System. - Anne-Sophie Bonnet-Ben Dhia, Simon N. Chandler-Wilde, Sonia Fliss, Christophe Hazard, Karl-Mikael Perfekt, Yohanes Tjandrawidjaja:
The Complex-Scaled Half-Space Matching Method. - Nan Chu:
SymFields: An Open Source Symbolic Fields Analysis Tool for General Curvilinear Coordinates in Python. - Aniruddh Herle, Janamejaya Channegowda, Kali Naraharisetti:
Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries on various Drive Cycles. - Xuan Qin, Meizhu Liu, Yifan Hu, Christina Moo, Christian M. Riblet, Changwei Hu, Kevin Yen, Haibin Ling:
Political Posters Identification with Appearance-Text Fusion. - Hongliang Zhang, Boya Di, Zhu Han, H. Vincent Poor, Lingyang Song:
Reconfigurable Intelligent Surface assisted Multi-user Communications: How Many Reflective Elements Do We Need? - Sifan Ye, Ting Wu, Michael Jarvis, Yuhao Zhu:
Digital Reconstruction of Elmina Castle for Mobile Virtual Reality via Point-based Detail Transfer. - Hong-lin Liao, Tao Tang, Tao Zhou:
An energy stable and maximum bound preserving scheme with variable time steps for time fractional Allen-Cahn equation. - Li Deng, Zilong Liu, Yong Liang Guan, Xiaobei Liu, Chaudhry Adnan Aslam, Xiaoxi Yu, Zhi-Ping Shi:
Perturbed Adaptive Belief Propagation Decoding for High-Density Parity-Check Codes. - Neeraj Battan, Yudhik Agrawal, Veeravalli Saisooryarao, Aman Goel, Avinash Sharma:
GlocalNet: Class-aware Long-term Human Motion Synthesis. - Masoud Razban, Javad Dargahi, Benoit Boulet:
Image-based Intraluminal Contact Force Monitoring in Robotic Vascular Navigation. - Maciej Sypetkowski, Jakub Jasiulewicz, Zbigniew Wojna:
Augmentation Inside the Network. - Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Optimising Placement of Pollution Sensors in Windy Environments. - Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang:
Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning. - Kevin Denamganaï, James Alfred Walker:
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator. - Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation. - Daniel Gratzer, Jonathan Sterling:
Syntactic categories for dependent type theory: sketching and adequacy. - Kshitij Goel, Wennie Tabib, Nathan Michael:
Rapid and High-Fidelity Subsurface Exploration with Multiple Aerial Robots. - James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. - Jie Shen:
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise. - Robi Bhattacharjee, Somesh Jha, Kamalika Chaudhuri:
Sample Complexity of Adversarially Robust Linear Classification on Separated Data. - Oliver Richardson, Joseph Y. Halpern:
Probabilistic Dependency Graphs. - Rui Fan, Umar Özgünalp, Yuan Wang, Ming Liu, Ioannis Pitas:
Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation. - Rishab Parthasarathy, Rohan Tan Bhowmik:
Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing. - Yikang Li, Pulkit Goel, Varsha Kuppur Rajendra, Har Simrat Singh, Jonathan Francis, Kaixin Ma, Eric Nyberg, Alessandro Oltramari:
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection. - Kai Wang, Chunxu Shen, Wenye Ma:
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction. - Sebastiano Vascon, Sinem Aslan, Gianluca Bigaglia, Lorenzo Giudice, Marcello Pelillo:
Transductive Visual Verb Sense Disambiguation. - Jingye Tan, Umberto Villa, Nima Shamsaei, Shuai Shao, Hussein M. Zbib, Danial Faghihi:
A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified Uncertainty. - Jian Liu, Lei Gao, Sujie Guo, Rui Ding, Xin Huang, Long Ye, Qinghua Meng, Asef Nazari, Dhananjay R. Thiruvady:
A hybrid deep-learning approach for complex biochemical named entity recognition. - Sonbol Rahimpour, Majid Khabbazian:
Hashcashed Reputation with Application in Designing Watchtowers. - Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang:
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks. - Amir Mahdi Sadeghzadeh, Behrad Tajali, Rasool Jalili:
AWA: Adversarial Website Adaptation. - Kátia Romero Felizardo, Stephen G. MacDonell, Emilia Mendes, José Carlos Maldonado:
A Systematic Mapping on the use of Visual Data Mining to Support the Conduct of Systematic Literature Reviews. - Michael Franklin Bosu, Stephen G. MacDonell:
Experience: Quality Benchmarking of Datasets Used in Software Effort Estimation. - Bilal Raza, Stephen G. MacDonell, Tony Clear:
Topics and Treatments in Global Software Engineering Research: A Systematic Snapshot. - Matthew T. Dearing, Xiaoyan Wang:
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism. - Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu:
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. - Hagit Attiya, Sweta Kumari, Noa Schiller:
Optimal Resilience in Systems that Mix Shared Memory and Message Passing. - Gengyu Rao, Jingji Chen, Xuehai Qian:
IntersectX: An Accelerator for Graph Mining. - Sindhu B. Hegde, K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Visual Speech Enhancement Without A Real Visual Stream. - Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos:
eTREE: Learning Tree-structured Embeddings. - Issam Jebreen, Robert Wellington, Stephen G. MacDonell:
Understanding Feasibility Study Approach for Packaged Software Implementation by SMEs. - Parikshit Sakurikar, P. J. Narayanan:
Geometric Scene Refocusing. - Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang:
Reinforcement Learning-based Product Delivery Frequency Control. - Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang:
Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences. - Lei Liu, Shunqi Huang, Brian M. Kurkoski:
Memory Approximate Message Passing. - R. N. Somarathna:
Path Planning and Obstacle Avoidance Scheme for Autonomous Robots using Raspberry Pi. - Huiyi Wang, Liu Wang, Haoyu Wang:
Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps. - Bagaskara Primastya Putra, Gabrielle Satya Mahardika, Muhammad Faris, Adha Imam Cahyadi:
Humanoid Robot Pitch Axis Stabilization using Linear Quadratic Regulator with Fuzzy Logic and Capture Point. - Clemens Grabmayer:
Structure-Constrained Process Graphs for the Process Semantics of Regular Expressions. - Dhananjai Chand, Savyasachi Gupta, Ilaiah Kavati:
Computer Vision based Accident Detection for Autonomous Vehicles. - Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona:
Sequence-to-Sequence Contrastive Learning for Text Recognition. - M. F. Chen, M. C. Xia, Q. F. Chen:
Hierarchical Structure Design and Primary Energy Dispatching Strategy of Grid Energy Router. - (Withdrawn) Concrete Evaluation of the Random Probing Security.
- Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou:
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension. - Savyasachi Gupta, Dhananjai Chand, Ilaiah Kavati:
Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles. - Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun:
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection. - Abdul Hadi bin Abdul Rahman, Abdullah Nazir, Kim Tae Hyun, Tan Horng Yarng, Fatima-tuz-Zahra:
Software, Attacker and Asset-centric Approach for Improving Security in System Development Process. - Yishui Wang, Rolf H. Möhring, Chenchen Wu, Dachuan Xu, Dongmei Zhang:
Outliers Detection Is Not So Hard: Approximation Algorithms for Robust Clustering Problems Using Local Search Techniques. - Michael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim:
LieTransformer: Equivariant self-attention for Lie Groups. - Chao Yang, Guoqing Wang, Dongsheng Li, Huawei Shen, Su Feng, Bin Jiang:
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension. - Ghurumuruhan Ganesan:
Achieving positive rates with predetermined dictionaries. - Chenxi Duan, Rui Li:
Multi-Head Linear Attention Generative Adversarial Network for Thin Cloud Removal. - Ioan Andrei Bârsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun:
Learning to Localize Using a LiDAR Intensity Map. - Thomas Kosch, Albrecht Schmidt:
Enabling Tangible Interaction through Detection and Augmentation of Everyday Objects. - Carolin Wienrich, Nina Ines Döllinger, Rebecca Hein:
Mind the Gap: A Framework (BehaveFIT) Guiding The Use of Immersive Technologies in Behavior Change Processes. - Corentin Allair, Antoine Vigneron:
Pattern Matching in Doubling Spaces. - Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. - Christian Tomani, Florian Buettner:
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. - Milad Moradi, Matthias Samwald:
Explaining Black-box Models for Biomedical Text Classification. - Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. - Xiao Zhang, Chunsheng Liu, Faliang Chang:
Guidance Module Network for Video Captioning. - Fengxiang He, Dacheng Tao:
Recent advances in deep learning theory. - Hao Zeng, Qingjie Liu, Mingming Zhang, Xiaoqing Han, Yunhong Wang:
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks. - Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen:
Toward Understanding the Influence of Individual Clients in Federated Learning. - Mohammed Hirzallah, Marwan Krunz, Balkan Kecicioglu, Belal Hamzeh:
5G New Radio Unlicensed: Challenges and Evaluation. - Alireza Danaee, Rodrigo C. de Lamare, Victor H. Nascimento:
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals. - Angelos Charalambidis, Giorgos Papadimitriou, Panos Rondogiannis, Antonis Troumpoukis:
Lexicographic Logic: a Many-valued Logic for Preference Representation. - Lucas Ventura, Amanda Cardoso Duarte, Xavier Giró-i-Nieto:
Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses. - Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun:
Learning to Localize Through Compressed Binary Maps. - Alexandros Haridis:
A new method of analyzing rule continuity in computations with shape grammars. - Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori:
Predicting the Objective and Priority of Issue Reports in a Cross project Context. - Reza Maalek, Derek D. Lichti, Shahrokh Maalek:
Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones. - Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib, Jann-Ole Henningson, Hans-Peter Seidel, Susana Castillo, Christian Theobalt, Marcus A. Magnor:
High-Fidelity Neural Human Motion Transfer from Monocular Video. - Stasys Jukna:
Notes on Hazard-Free Circuits. - Li Tian, Hanhui Li, Qifa Wang, Xuezeng Du, Jialin Tao, Jordan Sia Chong, Nadia Magnenat-Thalmann, Jianmin Zheng:
Towards Complex and Continuous Manipulation: A Gesture Based Anthropomorphic Robotic Hand Design. - Ori Kelner:
Learning Halfspaces With Membership Queries. - Aditya Jain, Manish Ravula, Joydeep Ghosh:
Biased Models Have Biased Explanations. - Wayne M. Witzel, Warren D. Craft, Robert D. Carr, Joaquín E. Madrid Larrañaga:
Prove-It: A Proof Assistant for Organizing and Verifying General Mathematical Knowledge. - Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner:
Post-hoc Uncertainty Calibration for Domain Drift Scenarios. - Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun:
Deep Continuous Fusion for Multi-Sensor 3D Object Detection. - Masaya Morinaga, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
Exploring Effectiveness of Inter-Microtask Qualification Tests in Crowdsourcing. - A. Leitao, Jorge P. Zubelli:
Iterative regularization methods for a discrete inverse problem in MRI. - Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal:
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. - Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles:
Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content. - Min Xiong, Travis A. Whetsell, Jerry Zhao, Shaoming Cheng:
Centrally Administered State-Owned Enterprises' Engagement in China's Public-Private Partnerships: A Social Network Analysis. - E. Theodore L. Omtzigt, Peter Gottschling, Mark Seligman, William Zorn:
Universal Numbers Library: design and implementation of a high-performance reproducible number systems library. - Matthew A. Reyna, Gari D. Clifford:
Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019. - Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach:
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. - I. R. Bleyer, A. Leitao:
On Tikhonov functionals penalized by Bregman distances. - Yvonne R. Stürz, Mohammad Khosravi, Roy S. Smith:
Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach. - Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar:
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks. - Shahab Asoodeh, Mario Díaz, Flávio P. Calmon:
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. - Yuxuan Gong, Peijun Li, Xu Wang, Xiang Xu:
Numerical solution of an inverse random source problem for the time fractional diffusion equation via PhaseLift. - Johannes Czech, Patrick Korus, Kristian Kersting:
Monte-Carlo Graph Search for AlphaZero. - Renming Liu, Yu Jiang, Carlos Lima Azevedo:
Bayesian Optimization of Area-based Road Pricing. - Panagiotis A. Traganitis, Georgios B. Giannakis:
Bayesian Semi-supervised Crowdsourcing. - Javier Huertas-Tato, Alejandro Martín, Julian Fiérrez, David Camacho:
Fusion of CNNs and statistical indicators to improve image classification. - Christine Geeng, Tiona Francisco, Jevin West, Franziska Roesner:
Social Media COVID-19 Misinformation Interventions Viewed Positively, But Have Limited Impact. - Matthew R. Jones, Timothy J. Rogers, Keith Worden, Elizabeth J. Cross:
A Bayesian methodology for localising acoustic emission sources in complex structures. - Abdulaziz Alhefdhi, Hoa Khanh Dam, Xuan-Bach Dinh Le, Aditya Ghose:
Adversarial Patch Generation for Automatic Program Repair. - Takashi Horiyama, Fabian Klute, Matias Korman, Irene Parada, Ryuhei Uehara, Katsuhisa Yamanaka:
Efficient Segment Folding is Hard. - Brian Bittner, Ross L. Hatton, Shai Revzen:
Data-Driven Geometric System Identification for Shape-Underactuated Dissipative Systems. - Nathan Kallus, Angela Zhou:
Fairness, Welfare, and Equity in Personalized Pricing. - Alexey Ignatiev, Nina Narodytska, Nicholas Asher, João Marques-Silva:
On Relating 'Why?' and 'Why Not?' Explanations. - Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Lingjia Liu, Miao Pan:
To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design. - (Withdrawn) A Secured Protocol for IoT Networks.
- Kensuke Nakamura, Byung-Woo Hong:
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label. - Yihua Ma, Zhifeng Yuan, Guanghui Yu, Yijian Chen:
Efficient Parallel Schemes for Cell-free Massive MIMO Using Radio Stripes. - Patrick Rodler:
DynamicHS: Streamlining Reiter's Hitting-Set Tree for Sequential Diagnosis. - Hongya Wang, Zhizheng Wang, Wei Wang, Yingyuan Xiao, Zeng Zhao, Kaixiang Yang:
A Note on Graph-Based Nearest Neighbor Search. - Caleb Bowyer:
Optimal Decoding of Convolutional Codes using a Linear State Space Control Formulation. - Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin:
DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption. - Ninh Pham:
Sublinear Maximum Inner Product Search using Concomitants of Extreme Order Statistics. - Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang:
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training. - Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang:
ResizeMix: Mixing Data with Preserved Object Information and True Labels. - Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang:
Disease Forecast via Progression Learning. - Annie Preston, Kwan-Liu Ma:
Communicating Uncertainty and Risk in Air Quality Maps. - Yifei Yang, Shibing Xiang, Ruixiang Zhang:
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders. - Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie:
EMLight: Lighting Estimation via Spherical Distribution Approximation. - Lijun Sun, Qian Yang, Xiao Chen, Zhenxiang Chen:
RC-chain: Reputation-based Crowdsourcing Blockchain for Vehicular Networks. - Zhengmin Lai, You Peng, Shiyu Yang, Xuemin Lin, Wenjie Zhang:
PEFP: Efficient k-hop Constrained s-t Simple Path Enumeration on FPGA. - Chou Kao, Yu-Yu Liu, Jack Xin:
A Semi-Lagrangian Computation of Front Speeds of G-equation in ABC and Kolmogorov Flows with Estimation via Ballistic Orbits. - Sarthak J. Shetty, Debasish Ghose:
Weight-Based Exploration for Unmanned Aerial Teams Searching for Multiple Survivors. - Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang:
Learning content and context with language bias for Visual Question Answering. - Shoma Ishida, Satoshi Ono:
Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition. - Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. - Ishani Mondal:
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions. - Dilshat Salikhov, Giancarlo Succi, Alexander Tormasov:
An empirical analysis of success factors in the adaption of the scaled agile framework - first outcomes from an empirical study. - Tejas Vaidhya, Ayush Kaushal:
Domain specific BERT representation for Named Entity Recognition of lab protocol. - Li Zhang, Yan Ge, Haiping Lu:
Hop-Hop Relation-aware Graph Neural Networks. - Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. - Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha:
Improving Unsupervised Image Clustering With Robust Learning. - Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato:
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network. - Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner:
A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. - Isaac Godfried, Kriti Mahajan, Maggie Wang, Kevin Li, Pranjalya Tiwari:
FlowDB a large scale precipitation, river, and flash flood dataset. - Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan:
Narrative Incoherence Detection. - Ivan Pavic, Hrvoje Pandzic, Tomislav Capuder:
Electric Vehicle Aggregator as an Automatic Reserves Provider in the European Market Setting. - Wei Yao, Shen Chen, Jiamin Cui, Yaolin Lou:
Multi-stream Convolutional Neural Network with Frequency Selection for Robust Speaker Verification. - Minh Q. Tran, Ngoc Quoc Ly:
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning. - Jie Yang, Yong Zeng, Shi Jin, Chao-Kai Wen, Pingping Xu:
Communication and Localization with Extremely Large Lens Antenna Array. - Pingchuan Ma, Shuai Wang:
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing. - Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu:
Medical Entity Linking using Triplet Network. - Amit Berman, Sarit Buzaglo, Avner Dor, Yaron Shany, Itzhak Tamo:
Repairing Reed-Solomon Codes Evaluated on Subspaces. - Xiang Zhang, Shamik Sarkar, Arupjyoti Bhuyan, Sneha Kumar Kasera, Mingyue Ji:
A Non-cooperative Game-based Distributed Beam Scheduling for 5G mm-Wave Networks. - Ke Shi, Zhengyuan Liu, Nancy F. Chen:
An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations. - Daoud Burghal, Ashwin T. Ravi, Varun Rao, Abdullah A. Alghafis, Andreas F. Molisch:
A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals. - Amin Javari, Mehrab Norouzitallab, Mahdi Jalili:
Who will accept my request? Predicting response of link initiation in two-way relation networks. - Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song:
Learn molecular representations from large-scale unlabeled molecules for drug discovery. - Mikkel Abrahamsen, Jacob Holm, Eva Rotenberg, Christian Wulff-Nilsen:
Escaping an Infinitude of Lions. - Andrea Fioraldi:
Program State Abstraction for Feedback-Driven Fuzz Testing using Likely Invariants. - Haichao Zhang, Kuangrong Hao, Lei Gao, Bing Wei, Xue-Song Tang:
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent. - Shengqi Geng:
Infrared image pedestrian target detection based on Yolov3 and migration learning. - Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You:
Diverse Knowledge Distillation for End-to-End Person Search. - Tom Tseng, Laxman Dhulipala, Julian Shun:
Parallel Index-Based Structural Graph Clustering and Its Approximation. - Xuanhong Chen, Ziang Liu, Ting Qiu, Bingbing Ni, Naiyuan Liu, Xiwei Hu, Yuhan Li:
Image Translation via Fine-grained Knowledge Transfer. - Pranesh Vallabh, Nazanin Malekian, Reza Malekian, Ting-Mei Li:
Personalized fall detection monitoring system based on learning from the user movements. - Yuval Shalev, Amichai Painsky, Irad Ben-Gal:
Neural Joint Entropy Estimation. - Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri:
Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization. - Nikheel Soni, Reza Malekian, Arnav Thakur:
Edge Computing in Transportation: Security Issues and Challenges. - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
On Success and Simplicity: A Second Look at Transferable Targeted Attacks. - Shuai Feng, Michele Cucuzzella, Thijs Bouman, Linda Steg, Jacquelien M. A. Scherpen:
An Integrated Human-physical Framework for Control of Power Grids. - Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang:
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. - Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavas, Shigeo Morishima:
Self-Supervised Learning for Visual Summary Identification in Scientific Publications. - Bernd Hofmann, Christopher Hofmann, Peter Mathé, Robert Plato:
Nonlinear Tikhonov regularization in Hilbert scales with oversmoothing penalty: inspecting balancing principles. - Francesco Fambri:
A novel structure preserving semi-implicit finite volume method for viscous and resistive magnetohydrodynamics. - Luiz H. Sena, Erickson H. da S. Alves, Iury Bessa, Eddie B. L. Filho, Lucas C. Cordeiro:
Incremental Verification of Fixed-Point Implementations of Neural Networks. - Kaled M. Alshmrany, Rafael S. Menezes, Mikhail R. Gadelha, Lucas C. Cordeiro:
FuSeBMC: A White-Box Fuzzer for Finding Security Vulnerabilities in C Programs. - Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee:
Searching for Controllable Image Restoration Networks. - Clara Menzen, Manon Kok, Kim Batselier:
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation. - Cheeun Hong, Heewon Kim, Junghun Oh, Kyoung Mu Lee:
DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks. - Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. - Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru, Roger Zimmermann:
Get It Scored Using AutoSAS - An Automated System for Scoring Short Answers. - Mohannad Aldughaim, Kaled M. Alshmrany, Mohamed Mustafa, Lucas C. Cordeiro, Alexandru Stancu:
Bounded Model Checking of Software Using Interval Methods via Contractors. - Lin Sok:
MDS linear codes with one dimensional hull. - Mingyuan Jiu, Hichem Sahbi:
Image Annotation based on Deep Hierarchical Context Networks. - Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani:
Difference Rewards Policy Gradients. - Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua:
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction. - Satyadev Nandakumar, Subin Pulari:
An Ergodic Theorem for PSPACE functions. - Piotr Ostropolski-Nalewaja, Jerzy Marcinkowski, David Carral, Sebastian Rudolph:
A Journey to the Frontiers of Query Rewritability. - Silvia Bertoluzza, Ilaria Perugia, Daniele Prada:
A p-robust polygonal discontinuous Galerkin method with minus one stabilization. - Ole Løseth Elvetun, Bjørn Fredrik Nielsen:
Sparsity regularization for inverse problems with nullspaces. - Luca A. Thiede, Mario Krenn, AkshatKumar Nigam, Alán Aspuru-Guzik:
Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning. - Jiang-Jiang Liu, Zhi-Ang Liu, Ming-Ming Cheng:
Centralized Information Interaction for Salient Object Detection. - Carmelo Sferrazza, Raffaello D'Andrea:
Sim-to-real for high-resolution optical tactile sensing: From images to 3D contact force distributions. - Vivek Parekh, Dominik Flore, Sebastian Schöps:
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine. - Patrik Persson, Linn Öström, Carl Olsson:
Monocular Depth Parameterizing Networks. - Hong-Xia Xie, Ling Lo, Hong-Han Shuai, Wen-Huang Cheng:
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge. - Hugo Bertiche, Meysam Madadi, Sergio Escalera:
Physically Based Neural Simulator for Garment Animation. - Sabah Al-Fedaghi:
Conceptual Software Engineering Applied to Movie Scripts and Stories. - Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens:
Autoregressive Reasoning over Chains of Facts with Transformers. - MohammadNoor Injadat, Abdallah Moubayed, Abdallah Shami:
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach. - Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami:
Optimized Random Forest Model for Botnet Detection Based on DNS Queries. - Yassien Shaalan, Alexander Dokumentov, Piyapong Khumrin, Krit Khwanngern, Anawat Wisetborisu, Thanakom Hatsadeang, Nattapat Karaket, Witthawin Achariyaviriya, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Terence Siganakis:
Collaborative residual learners for automatic icd10 prediction using prescribed medications. - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci:
FedeRank: User Controlled Feedback with Federated Recommender Systems. - Blazej Osinski, Piotr Milos, Adam Jakubowski, Pawel Ziecina, Michal Martyniak, Christopher Galias, Antonia Breuer, Silviu Homoceanu, Henryk Michalewski:
CARLA Real Traffic Scenarios - novel training ground and benchmark for autonomous driving. - Vasilis Krokos, Viet Bui Xuan, Stéphane P. A. Bordas, Philippe Young, Pierre Kerfriden:
Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features. - Simon Wiedemann, Suhas Shivapakash, Pablo Wiedemann, Daniel Becking, Wojciech Samek, Friedel Gerfers, Thomas Wiegand:
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons. - Yassien Shaalan, Alexander Dokumentov, Piyapong Khumrin, Krit Khwanngern, Anawat Wisetborisu, Thanakom Hatsadeang, Nattapat Karaket, Witthawin Achariyaviriya, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Terence Siganakis:
Ensemble model for pre-discharge icd10 coding prediction. - Viacheslav Dubeyko:
Cognitive Computing in Data-centric Paradigm. - Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang:
COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking. - Pengfei Hou, Ying Jin:
Single-level Optimization For Differential Architecture Search. - Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi:
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. - Branimir Ivsic, Zvonimir Sipus, Juraj Bartolic, Josip Babic:
Analysis of Safe Ultrawideband Human-Robot Communication in Automated Collaborative Warehouse. - Valerii Likhosherstov, Krzysztof Choromanski, Jared Davis, Xingyou Song, Adrian Weller:
Sub-Linear Memory: How to Make Performers SLiM. - A. Eashaan Rao, Dheeraj Vagavolu, Sridhar Chimalakonda:
AC2 - Towards Understanding Architectural Changes in Rapid Releases. - Dang Quang A, Dang Quang Long:
Existence results and iterative method for solving a fourth order nonlinear integro-differential equation. - Francesco Ranzato, Marco Zanella:
Genetic Adversarial Training of Decision Trees. - Tommaso Zoppi, Andrea Ceccarelli, Tommaso Capecchi, Andrea Bondavalli:
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape. - (Withdrawn) Game theory and Evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey.
- Tian Lan, Xian-Ling Mao, Zhipeng Zhao, Wei Wei, Heyan Huang:
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems. - A. Matthew Smith, H. S. Jacinto:
Reconfigurable Integrated Optical Interferometer Network-Based Physically Unclonable Function. - João Lousada, Miguel Ribeiro:
Reinforcement Learning for Test Case Prioritization. - Alexandre Abraham, Léo Dreyfus-Schmidt:
Rebuilding Trust in Active Learning with Actionable Metrics. - Kaiqi Chen, Jialing Liu, Jianhua Zhang, Zhenhua Wang:
Accurate Object Association and Pose Updating for Semantic SLAM. - Oskar Allerbo, Rebecka Jörnsten:
Flexible, Non-parametric Modeling Using Regularized Neural Networks. - Joshua Taylor:
Effectiveness of SCADA System Security Used Within Critical Infrastructure. - Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley:
Partial Network Identifiability: Theorem Proof and Evaluation. - Wang Xu, Kehai Chen, Tiejun Zhao:
Document-Level Relation Extraction with Reconstruction. - Siqing Zhang, Ruoyi Du, Dongliang Chang, Zhanyu Ma, Jun Guo:
Knowledge Transfer Based Fine-grained Visual Classification. - Pouya Rezazadeh Kalehbasti, Hayato Ushijima-Mwesigwa, Avradip Mandal, Indradeep Ghosh:
Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware. - Pádraig MacCarron, Paul J. Maher, Michael Quayle:
Identifying opinion-based groups from survey data: a bipartite network approach. - Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak:
Comparing Suicide Risk Insights derived from Clinical and Social Media data. - Graham Campbell, Brian Courtehoute, Detlef Plump:
Fast Rule-Based Graph Programs. - Marina Morán, Javier Aldo Balladini, Dolores Rexachs, Enzo Rucci:
Towards Management of Energy Consumption in HPC Systems with Fault Tolerance. - Behzad Javaheri:
The COVID-19 pandemic: socioeconomic and health disparities. - Yan Ge, Jun Ma, Li Zhang, Haiping Lu:
Unifying Homophily and Heterophily Network Transformation via Motifs. - Daniel Selsam, Jesse Michael Han, Leonardo de Moura, Patrice Godefroid:
Universal Policies for Software-Defined MDPs. - Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
CAMTA: Casual Attention Model for Multi-touch Attribution. - Weizhu Bao, Quan Zhao:
An Energy-Stable Parametric Finite Element Method for Simulating Solid-state Dewetting Problems in Three Dimensions. - Sophia Althammer, Sebastian Hofstätter, Allan Hanbury:
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study. - Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann:
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning. - Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang:
3D Object Detection with Pointformer. - Chenchen Zhao, Hao Li:
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks. - Shengling Shi, Xiaodong Cheng, Paul M. J. Van den Hof:
Single module identifiability in linear dynamic networks with partial excitation and measurement. - Gianira N. Alfarano, Diego Napp, Alessandro Neri, Verónica Requena:
Weighted Reed-Solomon convolutional codes. - Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque:
TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network. - Nela Bosner:
Parallel Prony's method with multivariate matrix pencil approach and its numerical aspect. - Chenchen Zhao, Hao Li:
Amplifying the Anterior-Posterior Difference via Data Enhancement - A More Robust Deep Monocular Orientation Estimation Solution. - Samuel Ofosu Mensah, Bubacarr Bah, Willie Brink:
Towards the Localisation of Lesions in Diabetic Retinopathy. - Chenchen Zhao, Hao Li:
Blurring Fools the Network - Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring. - David M. Bossens, Danesh Tarapore:
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation. - Patricia Wollstadt, Martina Hasenjäger, Christiane B. Wiebel-Herboth:
Quantifying the predictability of visual scanpaths using active information storage. - Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma:
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. - Valentin Bartier, Nicolas Bousquet, Marc Heinrich:
Recoloring graphs of treewidth 2. - Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. - Yunmo Chen, Sixing Lu, Fan Yang, Xiaojiang Huang, Xing Fan, Chenlei Guo:
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems. - Zhenyu Liu, Jian Cheng:
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification. - Nicolas Derumigny, Fabian Gruber, Théophile Bastian, Christophe Guillon, Louis-Noël Pouchet, Fabrice Rastello:
From micro-OPs to abstract resources: constructing a simpler CPU performance model through microbenchmarking. - Ivan Heibi, Silvio Peroni:
A qualitative and quantitative citation analysis toward retracted articles: a case of study. - Markus Viljanen, Tapio Pahikkala:
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. - Douglas Pinto Sampaio Gomes, Lihong Zheng:
Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs. - Kaya Turgut, Helin Dutagaci, Gilles Galopin, David Rousseau:
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods. - Filip Ilievski, Pedro A. Szekely, Bin Zhang:
CSKG: The CommonSense Knowledge Graph. - Ben Snowball, Sheehan Olver:
Sparse spectral methods for partial differential equations on spherical caps. - Adnan Aijaz, Aleksandar Stanoev:
Closing the Loop: A High-Performance Connectivity Solution for Realizing Wireless Closed-Loop Control in Industrial IoT Applications. - Luis Francisco, Tanmay Lagare, Arpit Jain, Somal Chaudhary, Madhura Kulkarni, Divya Sardana, W. Rhett Davis, Paul D. Franzon:
Design Rule Checking with a CNN Based Feature Extractor. - Bertrand Teguia Tabuguia:
A variant of van Hoeij's algorithm to compute hypergeometric term solutions of holonomic recurrence equations. - Hamidreza Dehghani, Andreas Zilian:
A hybrid MGA-MSGD ANN training approach for approximate solution of linear elliptic PDEs. - John Bradshaw, Brooks Paige, Matt J. Kusner, Marwin H. S. Segler, José Miguel Hernández-Lobato:
Barking up the right tree: an approach to search over molecule synthesis DAGs. - Yexiang Chen, Subhash Lakshminarayana, Carsten Maple, H. Vincent Poor:
A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations. - Marion Gödel, Luca Spataro, Gerta Köster:
Can we learn where people come from? Retracing of origins in merging situations. - Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang:
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. - Mohammad Zunaed Rafi, Ankur Nath, Md. Saifur Rahman:
A Frequency And Phase Attention Based Deep Learning Framework For Partial Discharge Detection On Insulated Overhead Conductors. - Thomas Chaffey, Rodolphe Sepulchre:
Monotone Circuits. - Vaishakh Kedambaimoole, Neelotpala Kumar, Vijay Shirhatti, Suresh Nuthalapati, Saurabh Kumar, Mangalore Manjunatha Nayak, Prosenjit Sen, Deji Akinwande, Konandur Rajanna:
Reduced Graphene Oxide Tattoo as Wearable Proximity Sensor. - Brendon Matusch, Jimmy Ba, Danijar Hafner:
Evaluating Agents without Rewards. - Bharadwaj Satchidanandan, Munther A. Dahleh:
An Efficient and Incentive-Compatible Mechanism for Energy Storage Markets. - Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Privacy Interpretation of Behavioural-based Anomaly Detection Approaches. - Rylee Thompson, Elahe Ghalebi, Terrance DeVries, Graham W. Taylor:
Building LEGO Using Deep Generative Models of Graphs. - Hussein M. E. Hussein, Mahmoud A. A. Ibrahim, Matteo Rinaldi, Marvin Onabajo, Cristian Cassella:
Reflective Parametric Frequency Selective Limiters with sub-dB Loss and μWatts Power Thresholds. - Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn:
Offline Reinforcement Learning from Images with Latent Space Models. - Antoine Plumerault, Hervé Le Borgne, Céline Hudelot:
AVAE: Adversarial Variational Auto Encoder. - Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. - Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang:
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. - Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner, Kalyanmoy Deb:
Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization. - Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari:
From Points to Multi-Object 3D Reconstruction. - Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. - Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, Michael J. Black:
Populating 3D Scenes by Learning Human-Scene Interaction. - Yuval Nirkin, Lior Wolf, Tal Hassner:
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation. - Changan Chen, Ziad Al-Halah, Kristen Grauman:
Semantic Audio-Visual Navigation. - Justin Liang, Raquel Urtasun:
End-to-End Deep Structured Models for Drawing Crosswalks. - Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan:
Object-Centric Diagnosis of Visual Reasoning. - Chi-Heng Lin, Mehdi Azabou, Eva L. Dyer:
Making transport more robust and interpretable by moving data through a small number of anchor points. - Ishani Mondal:
BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information. - Henrique Santos, Minor Gordon, Zhicheng Liang, Gretchen Forbush, Deborah L. McGuinness:
Exploring and Analyzing Machine Commonsense Benchmarks. - Muhammad Khalifa, Hady Elsahar, Marc Dymetman:
A Distributional Approach to Controlled Text Generation. - George Stein, Uros Seljak, Biwei Dai:
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation. - Maryam Kouzehgar, Malika Meghjani, Roland Bouffanais:
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys. - Michal Vavrecka, Nikita Sokovnin, Megi Mejdrechova, Gabriela Sejnova, Marek Otáhal:
myGym: Modular Toolkit for Visuomotor Robotic Tasks. - Marianne Menictas, Sabina Tomkins, Susan A. Murphy:
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health. - Stefan Banholzer, Tim Keil, Luca Mechelli, Mario Ohlberger, Felix Schindler, Stefan Volkwein:
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization. - Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak:
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. - Ehsaneddin Asgari, Masoud Jalili Sabet, Philipp Dufter, Christoph Ringlstetter, Hinrich Schütze:
Subword Sampling for Low Resource Word Alignment. - Sean Gillen, Katie Byl:
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning. - Sean Gillen, Marco Molnar, Katie Byl:
Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task. - Sirjan Kafle, Aman Gupta, Xue Xia, Ananth Sankar, Xi Chen, Di Wen, Liang Zhang:
Smoothed Gaussian Mixture Models for Video Classification and Recommendation. - Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe:
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection. - Bhaskar Mitra:
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval. - Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung:
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. - Mirela Silva, Luiz Giovanini, Juliana Fernandes, Daniela Oliveira, Catia S. Silva:
Facebook Ad Engagement in the Russian Active Measures Campaign of 2016. - Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff:
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. - Jean-Baptiste Mouret:
Evolving the Behavior of Machines: From Micro to Macroevolution. - Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. - Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas:
A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics. - Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach. - Mehrnoosh Shafiee, Javad Ghaderi:
Scheduling Coflows with Dependency Graph. - Bin Yang, Ming Liang, Raquel Urtasun:
HDNET: Exploiting HD Maps for 3D Object Detection. - Tae Wan Kim, John N. Hooker, Thomas Donaldson:
Taking Principles Seriously: A Hybrid Approach to Value Alignment. - Kristian Bredies, Marcello Carioni, Silvio Fanzon, Francisco Romero:
A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization. - Nymisha Bandi, Theja Tulabandhula:
Off-Policy Optimization of Portfolio Allocation Policies under Constraints. - Yuejiang Liu, Qi Yan, Alexandre Alahi:
Social NCE: Contrastive Learning of Socially-aware Motion Representations. - Jean C. Walrand, Max Turner, Roy Myers:
An Architecture for In-Vehicle Network. - Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding:
Cross-Domain Latent Modulation for Variational Transfer Learning. - Richard Olaniyan, Muthucumaru Maheswaran:
A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications. - Ryan Mohr, Maria Fonoberova, Zlatko Drmac, Iva Manojlovic, Igor Mezic:
Predicting the Critical Number of Layers for Hierarchical Support Vector Regression. - Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker:
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. - Jana Cslovjecsek, Friedrich Eisenbrand, Michal Pilipczuk, Moritz Venzin, Robert Weismantel:
Efficient sequential and parallel algorithms for multistage stochastic integer programming using proximity. - Sulaf Elshaar, Samira Sadaoui:
Cost-sensitive Semi-supervised Classification for Fraud Applications. - Tien Chu, Kamil Mykitiuk, Miron Szewczyk, Adam Wiktor, Zbigniew Wojna:
Training DNNs in O(1) memory with MEM-DFA using Random Matrices. - Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima, Yoshiaki Fukami, Takumi Shimizu, Yukio Ohsawa:
Data Combination for Problem-solving: A Case of an Open Data Exchange Platform. - Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie:
RealFormer: Transformer Likes Residual Attention. - Lukas Baumgärtner, Ronny Bergmann, Marc Herrmann, Roland Herzog, Stephan Schmidt, José Vidal-Núñez:
Mesh Denoising and Inpainting using the Total Variation of the Normal. - Qian Wang, Toby P. Breckon:
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. - Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San:
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. - Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi:
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding. - James Ferlez, Yasser Shoukry:
Bounding the Complexity of Formally Verifying Neural Networks: A Geometric Approach. - Tian Xia, Wei-Shinn Ku:
Deep Multi-attribute Graph Representation Learning on Protein Structures. - Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. - Maximilian Fiedler, Andreas Alpers:
Power-SLIC: Diagram-based superpixel generation. - Amirsina Torfi, Edward A. Fox, Chandan K. Reddy:
Differentially Private Synthetic Medical Data Generation using Convolutional GANs. - Wei Wang, Emily Sallenback, Zeyu Ning, Hugues Nelson Iradukunda, Wenxi Lu, Qingquan Zhang, Ting Zhu:
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning. - P. J. Eddie Edwards, Dimitris Psychogyios, Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov:
SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction. - J. Kissi-Ameyaw, Kenneth A. McIsaac, Xianbin Wang, Gordon R. Osinski:
Towards an Automatic System for Extracting Planar Orientations from Software Generated Point Clouds. - Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura:
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. - Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju:
Can I Still Trust You?: Understanding the Impact of Distribution Shifts on Algorithmic Recourses. - Haeun Yoo, Victor M. Zavala, Jay H. Lee:
Dynamic penalty function approach for constraints handling in reinforcement learning. - Mehrdad Zakershahrak, Samira Ghodratnama:
Are We On The Same Page? Hierarchical Explanation Generation for Planning Tasks in Human-Robot Teaming using Reinforcement Learning. - Yuting Fang, Saman Atapattu, Hazer Inaltekin, Jamie S. Evans:
Optimum Reconfigurable Intelligent Surface Selection for Indoor and Outdoor Communications. - Meng Xu, Shun Zhang, Caijun Zhong, Jianpeng Ma, Octavia A. Dobre:
Ordinary Differential Equation-based CNN for Channel Extrapolation over RIS-assisted Communication. - Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Chau Yuen, Bige Tunçer, Keng Hua Chong:
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data. - Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang:
Time Series Domain Adaptation via Sparse Associative Structure Alignment. - Nathaniel Trask, Andy Huang, Xiaozhe Hu:
Enforcing exact physics in scientific machine learning: a data-driven exterior calculus on graphs. - Juan Zhang, Cheng Wang, Steven M. Wise, Zhengru Zhang:
Structure-preserving, energy stable numerical schemes for a liquid thin film coarsening model. - Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling:
Modeling Deep Learning Based Privacy Attacks on Physical Mail. - Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han:
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices. - Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu:
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition. - Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos. - Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. - Jiho Noh, Ramakanth Kavuluru:
Improved Biomedical Word Embeddings in the Transformer Era. - Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao:
Progressive One-shot Human Parsing. - Shuang Zhou, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Wei Zheng, Yiming Wang:
Subject-independent Human Pose Image Construction with Commodity Wi-Fi. - Jun Zhang, Yaqiang Zhou, Yao-Kun Lei, Yi Isaac Yang, Yi Qin Gao:
Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales. - Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo, Pierre Brisson, Hassan Rivaz:
Fast and Robust Localization of Surgical Array using Kalman Filter. - Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea:
Recognizing Emotion Cause in Conversations. - Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash:
NetReAct: Interactive Learning for Network Summarization. - Zhengxi Chen, Xun Shen:
Receding Horizon Optimization for Disturbance-aware Predictive Control of Power Electronic Inverters. - Teguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki:
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection. - Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang:
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. - Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran:
Residual Matrix Product State for Machine Learning. - Runsheng Yu, Yu Gong, Xu He, Bo An, Yu Zhu, Qingwen Liu, Wenwu Ou:
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. - Liye Mei, Yalan Yu, Yueyun Weng, Xiaopeng Guo, Yan Liu, Du Wang, Sheng Liu, Fuling Zhou, Cheng Lei:
Adversarial Multiscale Feature Learning for Overlapping Chromosome Segmentation. - Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki:
Predicting Online Video Advertising Effects with Multimodal Deep Learning. - Zhaowei Zhu, Tongliang Liu, Yang Liu:
A Second-Order Approach to Learning with Instance-Dependent Label Noise. - Xianxu Hou, Xiaokang Zhang, Linlin Shen, Zhihui Lai, Jun Wan:
GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing. - Mamikon A. Gulian, Ari Frankel, Laura P. Swiler:
Gaussian Process Regression constrained by Boundary Value Problems. - Ke Wang, Sai Ma, Junlan Chen, Jianbo Lu:
Salient Bundle Adjustment for Visual SLAM. - Zehua Sun, Jun Liu, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang:
Human Action Recognition from Various Data Modalities: A Review. - Inaam Ilahi, Muhammad Usama, Muhammad Omer Farooq, Muhammad Umar Janjua, Junaid Qadir:
Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning. - Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah, Jubayer Al Mahmud, Mahmudul Hasan Popel, Md. Imran Hossain Showrov, Shakil Ahmed, Obaidur Rahman:
A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem. - Salman Mousaeirad:
Intelligent Vector-based Customer Segmentation in the Banking Industry. - Aria Rezaei, Jie Gao, Anand D. Sarwate:
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. - Leonard Yoon, Dongseok Yang, Jaehyun Kim, Choongho Chung, Sung-Hee Lee:
Placement Retargeting of Virtual Avatars to Dissimilar Indoor Environments. - Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li:
FcaNet: Frequency Channel Attention Networks. - Sharath Nittur Sridhar, Anthony Sarah:
Undivided Attention: Are Intermediate Layers Necessary for BERT? - Nastaran Hajinazar, Geraldo F. Oliveira, Sven Gregorio, João Dinis Ferreira, Nika Mansouri-Ghiasi, Minesh Patel, Mohammed Alser, Saugata Ghose, Juan Gómez-Luna, Onur Mutlu:
SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM. - Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard, Christian Sohler, Ola Svensson:
Fast and Accurate k-means++ via Rejection Sampling. - Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. - Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. - Rijk Mercuur, Virginia Dignum, Catholijn M. Jonker:
Modelling Human Routines: Conceptualising Social Practice Theory for Agent-Based Simulation. - Silvan Mertes, Tobias Huber, Katharina Weitz, Alexander Heimerl, Elisabeth André:
This is not the Texture you are looking for! Introducing Novel Counterfactual Explanations for Non-Experts using Generative Adversarial Learning. - Mizuka Komatsu, Takaharu Yaguchi:
Method for estimating hidden structures determined by unidentifiable state-space models and time-series data based on the Groebner basis. - Tahira Iqbal, Arslan Shaukat, Usman Akram, Zartasha Mustansar, Yung-Cheol Byun:
A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax using Class-Imbalanced Chest X-rays Dataset. - Timo Schick, Hinrich Schütze:
Few-Shot Text Generation with Pattern-Exploiting Training. - Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals. - Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda C. M. Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza-Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, María Granados Buey, Ismail Harrando, Ivan Heibi, Vitor A. C. Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu:
Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. - Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu:
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. - Weitong Hua, Jiaxin Guo, Yue Wang, Rong Xiong:
3D Point-to-Keypoint Voting Network for 6D Pose Estimation. - Ze-Feng Gao, Xingwei Sun, Lan Gao, Junfeng Li, Zhong-Yi Lu:
Compressing LSTM Networks by Matrix Product Operators. - Judith Wewerka, Manfred Reichert:
Robotic Process Automation - A Systematic Literature Review and Assessment Framework. - Ana Foles, Luis Fialho, Manuel Collares-Pereira, Pedro Horta:
Implementation of PV Self-Consumption with Ramp-Rate Control Algorithm using a Day-to-Day Forecast battery charging, with a Vanadium Redox Flow Battery. - Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang:
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction. - Kai Chen, Meng Niu, Qingcai Chen:
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews. - Nofar Carmeli, Nikolaos Tziavelis, Wolfgang Gatterbauer, Benny Kimelfeld, Mirek Riedewald:
Tractable Orders for Direct Access to Ranked Answers of Conjunctive Queries. - Anna Glazkova, Maksim Glazkov, Timofey Trifonov:
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection. - Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Mérouane Debbah:
Predictive Ultra-Reliable Communication: A Survival Analysis Perspective. - Daniel Schöllhammer, Benjamin Marussig, Thomas-Peter Fries:
A Consistent Higher-Order Isogeometric Shell Formulation. - Johan Aronsson, Philip Lu, Daniel Strüber, Thorsten Berger:
A Maturity Assessment Framework for Conversational AI Development Platforms. - Juan P. Agnelli, A. De Cezaro, Antonio Leitão, M. Marques Alves:
On the identification of piecewise constant coefficients in optical diffusion tomography by level set. - Maria Papatsimouli, Lazaros Lazaridis, Konstantinos-Filippos Kollias, Ioannis A. Skordas, George F. Fragulis:
Speak with signs: Active learning platform for Greek Sign Language, English Sign Language, and their translation. - Johann Baumeister, A. De Cezaro, Antonio Leitão:
Modified iterated Tikhonov methods for solving systems of nonlinear ill-posed equations. - Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. - Johan Ferret, Olivier Pietquin, Matthieu Geist:
Self-Imitation Advantage Learning. - David Cheng-Han Chiang, Hung-yi Lee:
Pre-Training a Language Model Without Human Language. - Carlos Galindo, Fernando Hernando:
A generalization of the construction of quantum codes from Hermitian self-orthogonal codes. - Heracles Michailidis, Eleni Michailidi, Stavroula Tavoultzidou, George F. Fragulis:
Teaching young learners a foreign language via tangible and graphical user interfaces. - David Cameron, Marina Sardà Gou, Laura Sbaffi:
Trust in robot-mediated health information. - Yubo Xie, Junze Li, Pearl Pu:
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition. - Yi Ding, Qiqi Yang, Guozheng Wu, Jian Zhang, Zhiguang Qin:
Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet. - Innar Liiv:
SARS-CoV-2 Coronavirus Data Compression Benchmark. - Yoli Shavit, Ron Ferens:
Do We Really Need Scene-specific Pose Encoders? - Mark P. J. van der Loo, Edwin de Jonge:
Data Validation. - Majid Rafiei, Wil M. P. van der Aalst:
Towards Quantifying Privacy in Process Mining. - Andrés M. Rueda-Ramírez, Sebastian Hennemann, Florian J. Hindenlang, Andrew R. Winters, Gregor Gassner:
An Entropy Stable Nodal Discontinuous Galerkin Method for the resistive MHD Equations. Part II: Subcell Finite Volume Shock Capturing. - Farbod N. Nezami, Maximilian Alexander Wächter, Nora Maleki, Philipp Spaniol, Lea M. Kühne, Anke Haas, Johannes M. Pingel, Linus Tiemann, Frederik Nienhaus, Lynn Keller, Sabine U. König, Peter König, Gordon Pipa:
WestDrive X LoopAR: An open-access virtual reality project in Unity for evaluating user interaction methods during TOR. - Stefano Savazzi, Vittorio Rampa, Leonardo Costa, Sanaz Kianoush, Denis Tolochenko:
Processing of body-induced thermal signatures for physical distancing and temperature screening. - Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo:
Data Assimilation in the Latent Space of a Neural Network. - Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto, Catuscia Palamidessi:
Information Leakage Games: Exploring Information as a Utility Function. - Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli:
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. - Guy D. Rosin, Ido Guy, Kira Radinsky:
Event-Driven Query Expansion. - Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. - Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. - Jean-Sébastien Dessureault, Jonathan Simard, Daniel Massicotte:
Unsupervised Machine learning methods for city vitality index. - Ye Chen, Yuankai Huo:
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis. - Sumukh Nitundil, Nihal Singh, Rushabha Balaji, Pankaj Arora:
Design and Comparative Analysis of a Two-Stage Ultra-Low-Power Subthreshold Operational Amplifier in 180nm, 90nm, and 45nm technology. - Liangdong Lu, Ruihu Li, Qiang Fu, Chen Xuan, Wenping Ma:
Optimal Ternary Linear Complementary Dual Codes. - David G. Green, Kerri Morgan, Marc Cheong:
Observement as Universal Measurement. - Matthias Prandtstetter, Clovis Seragiotto, Markus Straub, Babis Magoutas, Efthimios Bothos, Luka Bradesko:
Providing Intermodal Route Alternatives. - Kilian Gebhardt, Frédéric Meunier, Sylvain Salvati:
On is an n-MCFL. - Aleksandra Wolanin, Gustau Camps-Valls, Luis Gómez-Chova, Gonzalo Mateo-García, Christiaan van der Tol, Yongguang Zhang, Luis Guanter:
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations. - Chul Moon, Qiwei Li, Guanghua Xiao:
Predicting survival outcomes using topological features of tumor pathology images. - Bing Liu, Yu Tang, Yuxiong Ji, Yu Shen, Yuchuan Du:
A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data. - Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay, Gustau Camps-Valls:
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference. - Barbara Caroline Benato, Italos Estilon de Souza, Felipe L. Galvão, Alexandre X. Falcão:
Convolutional Neural Networks from Image Markers. - Menghan Xia, Tien-Tsin Wong:
Noise-Equipped Convolutional Neural Networks. - Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci, Seymanur Akti, Hazim Kemal Ekenel, Giuseppe Amato:
MOCCA: Multi-Layer One-Class Classification for Anomaly Detection. - Ramchandra Joshi, Rushabh Karnavat, Kaustubh Jirapure, Raviraj Joshi:
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020. - Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu, Jie Wang:
Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network. - Manuel de Sousa Ribeiro, Ludwig Krippahl, João Leite:
Explainable Abstract Trains Dataset. - Cheng Yi, Jianzong Wang, Ning Cheng, Shiyu Zhou, Bo Xu:
Applying wav2vec2.0 to Speech Recognition in various low-resource languages. - Deepika Mohan, G. G. Md. Nawaz Ali, Peter Han Joo Chong:
Machine Learning Algorithm for NLOS Millimeter Wave in 5G V2X Communication. - Albert Atserias, Phokion G. Kolaitis:
Structure and Complexity of Bag Consistency. - Igor Sedlár:
Finitely-valued propositional dynamic logic. - Andrew G. Lamperski:
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. - Alina Ene, Huy L. Nguyen, Adrian Vladu:
Projection-Free Bandit Optimization with Privacy Guarantees. - Al Momin Faruk, Hasan Al Faraby, Md. Muzahidul Azad, Md. Riduyan Fedous, Md. Kishor Morol:
Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit. - Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney:
Learning to Initialize Gradient Descent Using Gradient Descent. - Kapil D. Katyal, Adam Polevoy, Joseph L. Moore, Craig Knuth, Katie M. Popek:
High-Speed Robot Navigation using Predicted Occupancy Maps. - Paolo Luchini:
Introducing CPL. - Lubomír Bañas, Benjamin Gess, Christian Vieth:
Numerical approximation of singular-degenerate parabolic stochastic PDEs. - Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun:
Convolutional Recurrent Network for Road Boundary Extraction. - Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. - Song Fang, Quanyan Zhu:
Fundamental Limits on the Maximum Deviations in Control Systems: How Short Can Distribution Tails be Made by Feedback? - Gary B. Huang, Huei-Fang Yang, Shin-ya Takemura, Patricia K. Rivlin, Stephen M. Plaza:
Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes. - Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo:
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. - Jisung Park, Myungsuk Kim, Myoungjun Chun, Lois Orosa, Jihong Kim, Onur Mutlu:
Reducing Solid State Drive Read Latency by Optimizing Read-Retry. - Anders E. Kalør, Petar Popovski:
Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors. - Poorna Talkad Sukumar, Thomas Breideband, Gonzalo J. Martínez, Megan Caruso, Sierra Rose, Cooper Steputis, Sidney D'Mello, Gloria Mark, Aaron Striegel:
Designing an Interactive Visualization System for Monitoring Participant Compliance in a Large-Scale, Longitudinal Study. - Gürsel Serpen, Zhenning Gao:
Reduced Complexity Simulation of Wireless Sensor Networks for Application Development. - Santiago Cortes, Juan Muñoz, David Betancur, Mauricio Toro:
COVID-19 Emotion Monitoring as a Tool to Increase Preparedness for Disease Outbreaks in Developing Regions. - Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. - Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley:
Identification of Additive Link Metrics: Proof of Selected Theorems. - Liang Ma, Ting He, Kin K. Leung, Don Towsley, Ananthram Swami:
Efficient Identification of Additive Link Metrics: Theorem Proof and Evaluations. - Liang Ma:
Query Answering via Decentralized Search. - Di Feng, Zining Wang, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan:
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection. - Andrew Wilhelm, Aaron Wilhelm, Garrett Fosdick:
Autonomous sPOMDP Environment Modeling With Partial Model Exploitation. - Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang:
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. - Xinlei Pan, Animesh Garg, Animashree Anandkumar, Yuke Zhu:
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects. - Seunghwan Jung, Yeong-Gil Shin, Minyoung Chung:
Geometric robust descriptor for 3D point cloud. - Sein Minn:
BKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction. - Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro:
Training Convolutional Neural Networks With Hebbian Principal Component Analysis. - Luca Tamanini:
A generalization of Costa's Entropy Power Inequality. - Frank Gurski, Dominique Komander, Carolin Rehs, Jochen Rethmann, Egon Wanke:
Computing Directed Steiner Path Covers. - Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor:
Unadversarial Examples: Designing Objects for Robust Vision. - Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt:
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
A Novel Genetic Search Scheme Based on Nature - Inspired Evolutionary Algorithms for Self-Dual Codes. - Reza Bayani, Saeed D. Manshadi, Guangyi Liu, Yawei Wang, Renchang Dai:
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability. - Chau Yi Li, Riccardo Mazzon, Andrea Cavallaro:
Underwater image filtering: methods, datasets and evaluation. - Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee:
YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS). - Xuan Luo, Xuaner Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz:
Time-Travel Rephotography. - Mohammad Reza Davahli:
The Last State of Artificial Intelligence in Project Management. - Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick:
Generative Interventions for Causal Learning. - Kapil D. Katyal, Yuxiang Gao, Jared Markowitz, I-Jeng Wang, Chien-Ming Huang:
Group-Aware Robot Navigation in Crowded Environments. - Samuel Rivera, Joel Klipfel, Deborah Weeks:
Flexible deep transfer learning by separate feature embeddings and manifold alignment. - Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser:
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. - Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls:
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks. - José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls:
Nonlinear Cook distance for Anomalous Change Detection. - Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón, Gustau Camps-Valls:
Randomized RX for target detection. - Liang Ma:
Influence Maximization Under Generic Threshold-based Non-submodular Model. - Alan David Kaplan, Qi Cheng, K. Aditya Mohan, Lindsay D. Nelson, Sonia Jain, Harvey Levin, Abel Torres-Espin, Austin Chou, J. Russell Huie, Adam R. Ferguson, Michael A. McCrea, Joseph Giacino, Shivshankar Sundaram, Amy J. Markowitz, Geoffrey T. Manley:
Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data. - Prashant Rajaram, Puneet Manchanda:
Video Influencers: Unboxing the Mystique. - Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun:
Hierarchical Recurrent Attention Networks for Structured Online Maps. - Tushar Sharma, Diomidis Spinellis:
Do We Need Improved Code Quality Metrics? - Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas:
Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery. - Ibrahim Yildirim, Fatih Kilinc, Ertugrul Basar, George C. Alexandropoulos:
Hybrid RIS-Empowered Reflection and Decode-and-Forward Relaying for Coverage Extension. - Yunqiang Li, Jan van Gemert:
Deep Unsupervised Image Hashing by Maximizing Bit Entropy. - Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Ignacio Vellido-Expósito, Juan Fernández-Olivares:
Goal Reasoning by Selecting Subgoals with Deep Q-Learning. - Nathan Tsoi, Mohamed Hussein, Olivia Fugikawa, J. D. Zhao, Marynel Vázquez:
SEAN-EP: A Platform for Collecting Human Feedback for Social Robot Navigation at Scale. - Riu Naito, Toshihiro Yamada:
A machine learning solver for high-dimensional integrals: Solving Kolmogorov PDEs by stochastic weighted minimization and stochastic gradient descent through a high-order weak approximation scheme of SDEs with Malliavin weights. - Christian Beck, Martin Hutzenthaler, Arnulf Jentzen, Benno Kuckuck:
An overview on deep learning-based approximation methods for partial differential equations. - Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen:
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. - Letitia Parcalabescu, Albert Gatt, Anette Frank, Iacer Calixto:
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models. - Hunter Blanton, Scott Workman, Nathan Jacobs:
A Structure-Aware Method for Direct Pose Estimation. - Rolysent K. Paredes, Alexander A. Hernandez:
Designing an Adaptive Bandwidth Management for Higher Education Institutions. - Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma:
Multi-Head Self-Attention with Role-Guided Masks. - Theodoros Tsiligkaridis, Jay Roberts:
On Frank-Wolfe Optimization for Adversarial Robustness and Interpretability. - Daniel Lemire, Colin Bartlett, Owen Kaser:
Integer Division by Constants: Optimal Bounds. - Hengguang Li, Xiang Wan, Peimeng Yin, Lewei Zhao:
Regularity and finite element approximation for two-dimensional elliptic equations with line Dirac sources. - Maximilian Augustin, Matthias Hein:
Out-distribution aware Self-training in an Open World Setting. - Riccardo Pinciroli, Lishan Yang, Jacob Alter, Evgenia Smirni:
The Life and Death of SSDs and HDDs: Similarities, Differences, and Prediction Models. - Hengguang Li, Peimeng Yin, Zhimin Zhang:
A C0 finite element method for the biharmonic problem with Navier boundary conditions in a polygonal domain. - Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun:
DAGMapper: Learning to Map by Discovering Lane Topology. - Hongkai Zhao, Yimin Zhong:
Quantitative PAT with simplified PN approximation. - Onur Mutlu:
Intelligent Architectures for Intelligent Computing Systems. - Reno Kriz, Marianna Apidianaki, Chris Callison-Burch:
Simple-QE: Better Automatic Quality Estimation for Text Simplification. - Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang:
Distributed Q-Learning with State Tracking for Multi-agent Networked Control. - Valeri Alexiev:
Fractal Dimension Generalization Measure. - Michele Bonnin, Fabio Lorenzo Traversa, Fabrizio Bonani:
Coupled oscillator networks for von Neumann and non von Neumann computing. - Ronghuai Qi, Hamed Jamshidifar, Amir Khajepour:
Workspace Analysis and Optimal Design of Cable-Driven Parallel Robots via Auxiliary Counterbalances. - Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla:
Probabilistic Outlier Detection and Generation. - Wenjie Luo, Bin Yang, Raquel Urtasun:
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net. - Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun:
Multi-Task Multi-Sensor Fusion for 3D Object Detection. - Valentin Goranko:
Model checking and model synthesisfrom partial models: a logic-based perspective. - Sonal Doomra, Naman Kohli, Shounak Athavale:
Turn Signal Prediction: A Federated Learning Case Study. - Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun:
Learning Joint 2D-3D Representations for Depth Completion. - Savva Morozov, Parker C. Lusk, Brett Thomas Lopez, Jonathan P. How:
Performance Analysis of Adaptive Dynamic Tube MPC. - Kevin A. Thomas, Dominik Krzeminski, Lukasz Kidzinski, Rohan Paul, Elka B. Rubin, Eni Halilaj, Marianne S. Black, Akshay Chaudhari, Garry Gold, Scott L. Delp:
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning. - Rob B. N. Scharff, Guoxin Fang, Yingjun Tian, Jun Wu, Jo M. P. Geraedts, Charlie C. L. Wang:
Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots. - Ilya G. Ovodov:
Optical Braille Recognition Using Object Detection CNN. - Tianshi Li, Camille Cobb, Jackie Yang, Sagar Baviskar, Yuvraj Agarwal, Beibei Li, Lujo Bauer, Jason I. Hong:
What Makes People Install a COVID-19 Contact-Tracing App? Understanding the Influence of App Design and Individual Difference on Contact-Tracing App Adoption Intention. - Xingyi Yang:
Stochastic Gradient Variance Reduction by Solving a Filtering Problem. - Yassine Maalej, Elyes Balti:
CUDA-Accelerated Application Scheduling in Vehicular Clouds Under Advanced Multichannel Operations in WAVE. - Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning: Algorithms and Implementation. - Sukru Yaren Gelbal, Bilin Aksun Güvenç, Levent Guvenç:
SmartShuttle: Model Based Design and Evaluation of Automated On-Demand Shuttles for Solving the First-Mile and Last-Mile Problem in a Smart City. - Matthias Sander Frigau, Tianyi Zhang, Hongwei Zhang, Ahmed E. Kamal, Arun K. Somani:
Physical Wireless Resource Virtualization for Software-Defined Whole-Stack Slicing. - Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun:
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. - Emre Kural, Tahsin Hacibekir, Bilin Aksun Güvenç:
State of the Art of Adaptive Cruise Control and Stop and Go Systems. - Alex Junior Nunes da Silva, Matheus Montanini Breve, Jesús Pascual Mena-Chalco, Fabrício Martins Lopes:
Analysis of co-authorship networks among Brazilian graduate programs in computer science. - Shilong Shen:
Correspondence Learning for Controllable Person Image Generation. - Öncü Ararat, Bilin Aksun Güvenç:
A Survey of Recent Developments in Collision Avoidance, Collision Warning and Inter-Vehicle Communication Systems. - Bo Wu, Bo Lang:
MG-SAGC: A multiscale graph and its self-adaptive graph convolution network for 3D point clouds. - Jie Li, Binglin Li, Min Gao:
Skeleton-based Approaches based on Machine Vision: A Survey. - Yifan Wang, Xin Liu, Mei Wang, Yu Yu:
A hidden anti-jamming method based on deep reinforcement learning. - Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin:
Towards Automated Satellite Conjunction Management with Bayesian Deep Learning. - W.-Y. Hong, Chia-Lung Kao, Yi-Hung Kuo, J.-R. Wang, W.-L. Chang, Chi-Sheng Shih:
CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80. - Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh, Mihir Sanjay Kale:
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems. - Shaolei Zhang, Yang Feng, Liangyou Li:
Future-Guided Incremental Transformer for Simultaneous Translation. - Abdulaziz Alhefdhi, Hoa Khanh Dam, Yusuf Sulistyo Nugroho, Hideaki Hata, Takashi Ishio, Aditya Ghose:
A Framework for Self-Admitted Technical Debt Identification and Description. - Lantian Li, Ruiqi Liu, Jiawen Kang, Yue Fan, Hao Cui, Yunqi Cai, Ravichander Vipperla, Thomas Fang Zheng, Dong Wang:
CN-Celeb: multi-genre speaker recognition. - Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Demonstration. - Lantian Li, Dong Wang, Jiawen Kang, Renyu Wang, Jing Wu, Zhendong Gao, Xiao Chen:
A Principle Solution for Enroll-Test Mismatch in Speaker Recognition. - Howard H. Yang, Chao Xu, Xijun Wang, Daquan Feng, Tony Q. S. Quek:
Understanding Age of Information in Large-Scale Wireless Networks. - Parisa Ghane, Ulisses M. Braga-Neto:
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI. - Hunter Lang, Hoifung Poon:
Self-supervised self-supervision by combining deep learning and probabilistic logic. - Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar:
IIRC: Incremental Implicitly-Refined Classification. - Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. - Aleksandr E. Maksimov, Sergei P. Kuksenko:
Adaptive segmentation of multiconductor transmission line boundaries in quasi-static analysis by the method of moments. - Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Global Models for Time Series Forecasting: A Simulation Study. - Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang:
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. - Farzad Aalipour, Tuhin Das:
Shaping the Transient Response of Nonlinear Systems to Satisfy a Class of Integral Constraints. - Zichang He, Bo Zhao, Zheng Zhang:
Active Sampling for Accelerated MRI with Low-Rank Tensors. - Aviad Elyashar, Maor Reuben, Rami Puzis:
Fake News Data Collection and Classification: Iterative Query Selection for Opaque Search Engines with Pseudo Relevance Feedback. - Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston:
Learned Indexes for a Google-scale Disk-based Database. - Xuefeng Du, Pengtao Xie:
Small-Group Learning, with Application to Neural Architecture Search. - Jerome Niyirora:
Entropic Measures of Complexity in a New Medical Coding System. - Dongwon Park, Dong Un Kang, Se Young Chun:
Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring. - Fengtao Zhou, Sheng Huang, Yun Xing:
Deep Semantic Dictionary Learning for Multi-label Image Classification. - Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li:
Towards Overcoming False Positives in Visual Relationship Detection. - Uday Singh Saini, Evangelos E. Papalexakis:
Analyzing Representations inside Convolutional Neural Networks. - Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang:
GAHNE: Graph-Aggregated Heterogeneous Network Embedding. - Mahsa Saeidi, McKenzie Calvert, Audrey Au, Anita Sarma, Rakesh B. Bobba:
If This Context Then That Concern: Exploring users' concerns with IFTTT applets. - Zhijun Hu, Yong Xu, Jie Wen, Lilei Sun, Raja S. P:
Vehicle Re-identification Based on Dual Distance Center Loss. - Xiaobing Yu, Mike Stahr, Han Chen, Runming Yan:
Design and Implementation of Curriculum System Based on Knowledge Graph. - Alim Kerem Erdogmus, Didem Ozupek Tas, Mustafa Karaca, Ugur Yayan:
Robot Operating System Compatible Mobile Robots for Education and Research. - Alon Zolfi, Moshe Kravchik, Yuval Elovici, Asaf Shabtai:
The Translucent Patch: A Physical and Universal Attack on Object Detectors. - Eyasu Getahun Chekole, Martín Ochoa, Sudipta Chattopadhyay:
SCOPE: Secure Compiling of PLCs in Cyber-Physical Systems. - Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun:
Motif-Driven Contrastive Learning of Graph Representations. - Amit Giloni, Edita Grolman, Tanja Hagemann, Ronald Fromm, Sebastian Fischer, Yuval Elovici, Asaf Shabtai:
BENN: Bias Estimation Using Deep Neural Network. - Nilotpal Sinha, Kuan-Wen Chen:
Evolving Neural Architecture Using One Shot Model. - Asad Ullah, Tauseef Ahmed:
Code Switching Language Model Using Monolingual Training Data. - Letian Zhao, Rui Xu, Tianqi Wang, Teng Tian, Xiaotian Wang, Wei Wu, Chio-in Ieong, Xi Jin:
BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training. - Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim:
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer. - Shira Faigenbaum-Golovin, David Levin:
Manifold Reconstruction and Denoising from Scattered Data in High Dimension via a Generalization of L1-Median. - Niv Arad, Yair Noam:
C-RAN Zero-Forcing with Imperfect CSI: Analysis and Precode\&Quantize Feedback. - Rosanna Campagna, Emma Perracchione:
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines. - Alina Kuznetsova, Aakrati Talati, Yiwen Luo, Keith Simmons, Vittorio Ferrari:
Efficient video annotation with visual interpolation and frame selection guidance. - Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao:
A Survey on Visual Transformer. - Jin Liu, Jianqin Yin:
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction. - Jan Moritz Joseph, Ananda Samajdar, Lingjun Zhu, Rainer Leupers, Sung Kyu Lim, Thilo Pionteck, Tushar Krishna:
Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators. - Guodong Zeng, Till D. Lerch, Florian Schmaranzer, Guoyan Zheng, Jürgen Burger, Kate Gerber, Moritz Tannast, Klaus-Arno Siebenrock, Nicolas Gerber:
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation. - Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen:
Automated Lay Language Summarization of Biomedical Scientific Reviews. - Ali Baba Dauda, Mohammed Sani Adam, Muhammad Ahmad Mustapha, Audu Musa Mabu, Suleiman Mustafa:
Soap serialization effect on communication nodes and protocols. - Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. - Zhenjun Liu, Leroy Chew, Marijn Heule:
Avoiding Monochromatic Rectangles Using Shift Patterns. - Anna-Karin Tornberg:
Accurate evaluation of integrals in slender-body formulations for fibers in viscous flow. - Oscar Guerrero-Rosado, Paul F. M. J. Verschure:
Distributed Adaptive Control: An ideal Cognitive Architecture candidate for managing a robotic recycling plant. - Jean-Guy Mailly, Julien Rossit:
Stability in Abstract Argumentation. - José Pereira dos Reis, Fernando Brito e Abreu, Glauco de Figueiredo Carneiro:
Crowdsmelling: The use of collective knowledge in code smells detection. - Manish Gawali, C. S. Arvind, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, K. N. Bhanu Prakash, Viraj Kulkarni, Aniruddha Pant:
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare. - Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton:
Attention and misinformation sharing on social media. - Faisal N. Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, Darren Strash:
Recent Advances in Practical Data Reduction. - David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning. - Jens Van den Broeck, Bart Coppens, Bjorn De Sutter:
Flexible Software Protection. - Balázs F. Mezei, Marcin Wrochna, Stanislav Zivný:
PTAS for Sparse General-Valued CSPs. - Kali Naraharisetti, Janamejaya Channegowda:
Single Stage PFC Flyback AC-DC Converter Design. - Takaaki Saeki, Shinnosuke Takamichi, Hiroshi Saruwatari:
Incremental Text-to-Speech Synthesis Using Pseudo Lookahead with Large Pretrained Language Model. - Yuri Nesterenko:
On spherical harmonics possessing octahedral symmetry. - Zuoyu Yan, Xiaode Zhang, Liangcai Gao, Ke Yuan, Zhi Tang:
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition. - Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. - Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen:
Learning Dense Representations of Phrases at Scale. - Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. - Xi Victoria Lin, Richard Socher, Caiming Xiong:
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. - Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato:
Efficient Continual Learning with Modular Networks and Task-Driven Priors. - Simin Liu:
Overview of FPGA deep learning acceleration based on convolutional neural network. - Matthew Yuan, Matthew Wicker, Luca Laurenti:
Gradient-Free Adversarial Attacks for Bayesian Neural Networks. - Claudia Schon, Sophie Siebert, Frieder Stolzenburg:
Negation in Cognitive Reasoning. - Pengdi Huang, Liqiang Lin, Kai Xu, Hui Huang:
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization. - Ron Slossberg, Oron Anschel, Amir Markovitz, Ron Litman, Aviad Aberdam, Shahar Tsiper, Shai Mazor, Jon Wu, R. Manmatha:
On Calibration of Scene-Text Recognition Models. - Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf:
SWA Object Detection. - Miel Sharf, Bart Besselink, Adam Molin, Qiming Zhao, Karl Henrik Johansson:
Assume/Guarantee Contracts for Dynamical Systems: Theory and Computational Tools. - Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel:
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. - Guido Fioretti, Andrea Policarpi:
The Less Intelligent the Elements, the More Intelligent the Whole. Or, Possibly Not? - Michael Lindner, Lucas Lincoln, Fenja Drauschke, Julia Monika Koulen, Hans Würfel, Anton Plietzsch, Frank Hellmann:
NetworkDynamics.jl - Composing and simulating complex networks in Julia. - Luana Silva:
Library of efficient algorithms for phylogenetic analysis. - Siddharth Barman, Paritosh Verma:
Existence and Computation of Maximin Fair Allocations Under Matroid-Rank Valuations. - Fujun Wang, Zining Cao, Lixing Tan, Zhen Li:
Formal modeling and performance evaluation for hybrid systems: a probabilistic hybrid process algebra-based approach. - David Restrepo Amariles, Aurore Clément Troussel, Rajaa El Hamdani:
Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine Learning. - Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach. - Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Zhangjie Peng:
Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments. - Wenwei Zhang, Zhe Wang, Chen Change Loy:
Multi-Modality Cut and Paste for 3D Object Detection. - Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu:
Generating Comprehensive Data with Protocol Fuzzing for Applying Deep Learning to Detect Network Attacks. - Faten Alenizi, Omer F. Rana:
Minimising Delay and Energy in Online Dynamic Fog Systems. - Ankit Chakraborty, Ajay Rangarajan, Georg May:
Optimal approximation spaces for discontinuous Petrov-Galerkin finite element methods. - Sumit Jha, Carlos Busso:
Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions. - Soumitra Ghosh, Arkaprava Roy, Asif Ekbal, Pushpak Bhattacharyya:
EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response. - Diego Baptista, Caterina De Bacco:
Principled network extraction from images. - Jan Martijn E. M. van der Werf, Artem Polyvyanyy, Bart R. van Wensveen, Matthieu J. S. Brinkhuis, Hajo A. Reijers:
All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees. - Christoph Buchheim, Dorothee Henke, Felix Hommelsheim:
On the Complexity of the Bilevel Minimum Spanning Tree Problem. - Stefan Heinrich:
Lower bounds for the number of random bits in Monte Carlo algorithms. - Tian Huang, Tao Luo, Joey Tianyi Zhou:
Adaptive Precision Training for Resource Constrained Devices. - Xiangmin Jiao, Xuebin Wang, Qiao Chen:
Optimal and Low-Memory Near-Optimal Preconditioning of Fully Implicit Runge-Kutta Schemes for Parabolic PDEs. - Joseph S. Donato, Howard W. Levinson:
Structured Iterative Hard Thresholding with Off-Grid Applications. - Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini:
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. - Reza Bayani, Mohammed Bushlaibi, Saeed D. Manshadi:
Short-term Operational Planning Problem of the Multiple-Energy Carrier Hybrid AC/DC Microgrids. - Nika Nizharadze, Arash Farokhi Soofi, Saeed D. Manshadi:
Learning the Gap in the Day-Ahead and Real-Time Locational Marginal Prices in the Electricity Market. - Athanasios Vourvopoulos, Simon Legeay, Patrícia Figueiredo:
NeuXus: A Biosignal Processing and Classification Pipeline for Real-Time Brain-Computer Interaction. - Meike Zehlike, Tom Sühr, Carlos Castillo:
A Note on the Significance Adjustment for FA*IR with Two Protected Groups. - Stasys Jukna:
Coin Flipping in Dynamic Programming is Almost Useless. - Guillermo Marco Remón, Julio Gonzalo:
Automatic Scansion of Spanish Poetry without Syllabification. - Vitaly Feldman, Audra McMillan, Kunal Talwar:
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling. - Arash Farokhi Soofi, Saeed D. Manshadi:
Investigating the Impact of Electric Vehicles on the Voltage Profile of Distribution Networks. - Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach:
Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications. - Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy:
Focal Frequency Loss for Generative Models. - Miika Hannula, Jonni Virtema:
Tractability frontiers in probabilistic team semantics and existential second-order logic over the reals. - Stasys Jukna, Hannes Seiwert:
Approximation Limitations of Pure Dynamic Programming. - Shreya Goyal, Saptarshi Purkayastha, Tyler Phillips, Rob Quick, Alexis Britt:
Enabling Secure and Effective Biomedical Data Sharing through Cyberinfrastructure Gateways. - Stasys Jukna, Hannes Seiwert:
Sorting Can Exponentially Speed Up Pure Dynamic Programming. - Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. - Michael Hibbard, Kirsten Tuggle, Takashi Tanaka:
Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes. - Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization. - Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg:
Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks. - Bogdan Armaselu:
Improved Algorithm for Computing the Maximum-volume Bichromatic Separating Box. - Matthew O. Jackson, Agathe Pernoud:
Credit Freezes, Equilibrium Multiplicity, and Optimal Bailouts in Financial Networks. - Gökhan Çapan, Özge Bozal, Ilker Gündogdu, Ali Taylan Cemgil:
Towards Fair Personalization by Avoiding Feedback Loops. - Matan Rusanovsky, Ohad Ben-Baruch, Danny Hendler, Pedro Ramalhete:
A Flat-Combining-Based Persistent Stack for Non-Volatile Memory. - Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis:
A Multimodal Framework for the Detection of Hateful Memes. - Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou:
Training data-efficient image transformers & distillation through attention. - Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He:
Exploring Instance-Level Uncertainty for Medical Detection. - Isobel E. Seabrook, Paolo Barucca, Fabio Caccioli:
Evaluating structural edge importance in temporal networks. - Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman:
Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild. - Michael P. Friedlander, Halyun Jeong, Yaniv Plan, Özgür Yilmaz:
NBIHT: An Efficient Algorithm for 1-bit Compressed Sensing with Optimal Error Decay Rate. - Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner:
ANR: Articulated Neural Rendering for Virtual Avatars. - Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba:
Noisy Labels Can Induce Good Representations. - Ramtin Hosseini, Pengtao Xie:
Learning by Self-Explanation, with Application to Neural Architecture Search. - Maximilian Bernkopf, Jens Markus Melenk:
Optimal convergence rates in L2 for a first order system least squares finite element method. Part I: homogeneous boundary conditions. - Justus Benzler, Dan Bogdanov, Göran Kirchner, Wouter Lueks, Raquel Lucas, Rui Oliveira, Bart Preneel, Marcel Salathé, Carmela Troncoso, Viktor von Wyl:
Towards a common performance and effectiveness terminology for digital proximity tracing applications. - Lingxiao Zhao, Leman Akoglu:
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. - Rômulo Meira-Góes, Stéphane Lafortune, Hervé Marchand:
Synthesis of Supervisors Robust Against Sensor Deception Attacks. - Brénainn Woodsend, Eirini Koufoudaki, Peter A. Mossey, Ping Lin:
Automatic Recognition of Landmarks on Digital Dental Models. - Mazen Ali:
Ranks of Tensor Networks for Eigenspace Projections and the Curse of Dimensionality. - Yasmine N. M. Saleh, Claude C. Chibelushi, Ayman A. Abdel-Hamid, Abdel-Hamid Soliman:
Privacy Preservation for Wireless Sensor Networks in Healthcare: State of the Art, and Open Research Challenges. - Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, Zhanhuai Li:
Active Deep Learning on Entity Resolution by Risk Sampling. - Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama:
Representing Partial Programs with Blended Abstract Semantics. - Riza Velioglu, Jewgeni Rose:
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. - Gaia Belardinelli, Rasmus K. Rendsvig:
Awareness Logic: A Kripke-based Rendition of the Heifetz-Meier-Schipper Model. - Rafael F. C. Oliveira, Fábio Barreto, Raphael Abreu:
Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios. - Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe:
Distributed Multi-object Tracking under Limited Field of View Sensors. - Berat Mert Albaba, Sedat Ozer:
SyNet: An Ensemble Network for Object Detection in UAV Images. - Diego A. Delgadillo-Duran, Cesar A. Vargas-García, Viviana M. Varón-Ramírez, Francisco Calderón, Andrea C. Montenegro, Paula H. Reyes-Herrera:
Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties. - Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti:
Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset. - Kent-André Mardal, Jarle Sogn, Stefan Takacs:
Robust preconditioning and error estimates for optimal control of the convection-diffusion-reaction equation with limited observation in Isogeometric analysis. - Deblin Bagchi, Shannon Wotherspoon, Zhuolin Jiang, Prasanna Muthukumar:
Speech Synthesis as Augmentation for Low-Resource ASR. - Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
Correlations among Game of Thieves and other centrality measures in complex networks. - Nelson Alves Ferreira Neto, Marco Ruiz, Marco Reis, Tiago Cajahyba, Davi Oliveira, Ana Barreto, Eduardo F. Simas Filho, Wagner Luiz Alves de Oliveira, Leizer Schnitman, Roberto L. S. Monteiro:
Low-latency Perception in Off-Road Dynamical Low Visibility Environments. - Lance Eliot:
Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy. - Hieu Le, Dimitris Samaras:
Physics-based Shadow Image Decomposition for Shadow Removal. - M. Andrecut:
K-Means Kernel Classifier. - Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. - Mihee Lee, Vladimir Pavlovic:
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations. - Xiren Zhou, Siqi Wang, Ruisheng Diao, Desong Bian, Jiahui Duan, Di Shi:
Rethink AI-based Power Grid Control: Diving Into Algorithm Design. - Mohammad J. Hashemi, Eric Keller:
General Domain Adaptation Through Proportional Progressive Pseudo Labeling. - Ghazi Felhi, Joseph Le Roux, Djamé Seddah:
Disentangling semantics in language through VAEs and a certain architectural choice. - Sean Gillen, Katie Byl:
Mesh Based Analysis of Low Fractal Dimension ReinforcementLearning Policies. - Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada:
Assured RL: Reinforcement Learning with Almost Sure Constraints. - Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. - Xiaobo Guo, Soroush Vosoughi:
Multi-modal Identification of State-Sponsored Propaganda on Social Media. - Qianzhi Zhang, Zhaoyu Wang, Shanshan Ma, Anmar I. Arif:
Stochastic Pre-Event Preparation for Enhancing Resilience of Distribution Systems with High DER Penetration. - Qingfang He, Guang Cheng, Zhiying Lin:
Union-net: A deep neural network model adapted to small data sets. - Aldo Pacchiano, Christoph Dann, Claudio Gentile, Peter L. Bartlett:
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL. - Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark:
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language. - Zhendong Chu, Jing Ma, Hongning Wang:
Learning from Crowds by Modeling Common Confusions. - Samuel Dittmer, Yuval Ishai, Steve Lu, Rafail Ostrovsky, Mohamed Elsabagh, Nikolaos Kiourtis, Brian Schulte, Angelos Stavrou:
Function Secret Sharing for PSI-CA: With Applications to Private Contact Tracing. - Zachary J. Grant:
Perturbed Runge-Kutta methods for mixed precision applications. - Jaein Lim, Panagiotis Tsiotras:
A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs. - Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa:
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps. - Chengxi Li, Gang Li, Pramod K. Varshney:
Decentralized Federated Learning via Mutual Knowledge Transfer. - Yu-Wen Li, Xinyuan Wu:
Exponential integrators preserving first integrals or Lyapunov functions for conservative or dissipative systems. - Yu-Wen Li, Xinyuan Wu:
Functionally-fitted energy-preserving methods for solving oscillatory nonlinear Hamiltonian systems. - Shiyuan Huang, Jiawei Ma, Guangxing Han, Shih-Fu Chang:
Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition. - Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang:
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy. - Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. - Min Qiu, Xiaowei Wu, Alexandre Graell i Amat, Jinhong Yuan:
Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes. - Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. - Md Sarowar Morshed, Sabbir Ahmad, Md. Noor-E-Alam:
Stochastic Steepest Descent Methods for Linear Systems: Greedy Sampling & Momentum. - Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas A. Funkhouser, Hao Dong:
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding. - Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin:
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search. - Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng:
EDN: Salient Object Detection via Extremely-Downsampled Network. - Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng:
MobileSal: Extremely Efficient RGB-D Salient Object Detection. - Xiang Deng, Zhongfei Zhang:
Learning with Retrospection. - Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu:
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. - Yunqiu Shao, Bulou Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment. - Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang:
Improving the Certified Robustness of Neural Networks via Consistency Regularization. - Ariessa Davaindran Lingham, Nelson Tang Kwong Kin, Chen Wan Jing, Chong Heng Loong, Fatima-tuz-Zahra:
Implementation of Security Features in Software Development Phases. - Ruqi Bai, Saurabh Bagchi, David I. Inouye:
Exploring Adversarial Examples via Invertible Neural Networks. - Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin:
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. - Daniela Vianna, Amélie Marian:
A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces. - Ashok Cutkosky, Abhimanyu Das, Manish Purohit:
Upper Confidence Bounds for Combining Stochastic Bandits. - Alain Monteil, Alejandra N. González-Beltrán, Alexandros Ioannidis, Alice Allen, Allen Lee, Anita E. Bandrowski, Bruce E. Wilson, Bryce D. Mecum, Caifan Du, Carly Robinson, Daniel Garijo, Daniel S. Katz, David Long, Genevieve Milliken, Hervé Ménager, Jessica Hausman, Jurriaan H. Spaaks, Katrina Fenlon, Kristin Vanderbilt, Lorraine J. Hwang, Lynn Davis, Martin Fenner, Michael R. Crusoe, Michael Hucka, Mingfang Wu, Neil P. Chue Hong, Peter J. Teuben, Shelley Stall, Stephan Druskat, Ted Carnevale, Thomas Morrell:
Nine Best Practices for Research Software Registries and Repositories: A Concise Guide. - Pengdi Huang, Liqiang Lin, Fuyou Xue, Kai Xu, Danny Cohen-Or, Hui Huang:
Hausdorff Point Convolution with Geometric Priors. - Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang:
Memory-Gated Recurrent Networks. - Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
SubICap: Towards Subword-informed Image Captioning. - Ankush Das, Frank Pfenning:
Rast: A Language for Resource-Aware Session Types. - Chuan-Shen Hu, Yu-Min Chung:
On the Conditions of Absorption Property for Morphological Opening and Closing. - Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki:
Sensitivity - Local Index to Control Chaoticity or Gradient Globally. - Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang:
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images. - Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
LCEval: Learned Composite Metric for Caption Evaluation. - Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah:
WEmbSim: A Simple yet Effective Metric for Image Captioning. - Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh:
A non-alternating graph hashing algorithm for large scale image search. - Muntasir Al-Asfoor, Mohammed Hamzah Abed:
The effect of the toplolgy adaptation on search performance in overlay network. - Luyin Hu, David Navarro-Alarcon, Andrea Cherubini, Mengying Li:
On Radiation-Based Thermal Servoing: New Models, Controls and Experiments. - Ling Zhou, Qirong Mao, Ming Dong:
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation. - Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Unsupervised neural adaptation model based on optimal transport for spoken language identification. - Cong Xu, Min Yang:
Adversarial Momentum-Contrastive Pre-Training. - Li Liu, Wenju Zhou, Minrui Fei, Zhile Yang, Hongyong Yang, Huiyu Zhou:
Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise. - Hiroki Matsume, Yuan Wang, Hideaki Ishii:
Resilient Self/Event-Triggered Consensus Based on Ternary Control. - Daniil Chirkov, Artur Gaysin, Ivan Ashaev:
LTE Cell Load Estimation Based on DCI Message Decoding. - Kailai Sun, Zuchao Li, Hai Zhao:
Cross-lingual Dependency Parsing as Domain Adaptation. - Kyuwon Kim, Junhyuck Im, Gyuin Jee:
Tunnel Facility-based Vehicle Localization in Highway Tunnel using 3D LIDAR. - Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan:
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II. - Jianwei Zhang:
Q-SR: An Extensible Optimization Framework for Segment Routing. - Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova:
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters. - Mohammad Mahdi Tajiki, Seyed Hesamedin Ghasemi Petroudi, Stefano Salsano, Steve Uhlig, Ignacio Castro:
Optimal Estimation of Link Delays based on End-to-End Active Measurements. - Van-Khoa Nguyen, Adrian Popescu, Jerome Deshayes-Chossart:
Unveiling Real-Life Effects of Online Photo Sharing. - Dániel Zentai:
Graph Theory in the Classification of Information Systems. - Arpit Agarwal, Tim Man, Wenzhen Yuan:
Simulation of Vision-based Tactile Sensors using Physics based Rendering. - Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. - Yalda Foroutan, Ahmad Kalhor, Saeid Mohammadi Nejati, Samad Sheikhaei:
Control of computer pointer using hand gesture recognition in motion pictures. - Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
Sentence-Based Model Agnostic NLP Interpretability. - Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
QUACKIE: A NLP Classification Task With Ground Truth Explanations. - Yimin Lin, Jianfeng Huang, Shiguo Lian:
Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks. - Errol Zalmijn, Tom Heskes, Tom Claassen:
Spectral Ranking of Causal Influence in Complex Systems. - Daniel O'Connor, Walter Vinci:
RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces. - Leonid Libkin, Liat Peterfreund:
Handling SQL Nulls with Two-Valued Logic. - Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang:
Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication. - Nassim Dehouche:
Predicting Seminal Quality with the Dominance-Based Rough Sets Approach. - Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. - Haokui Zhang, Ying Li, Chengrong Gong, Hao Chen, Zongwen Bai, Chunhua Shen:
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
The Age of Incorrect Information: an Enabler of Semantics-Empowered Communication. - Delphine Poux, Benjamin Allaert, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun:
Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction. - Ho-Pun Lam, Mustafa Hashmi, Akhil Kumar:
Towards a Formal Framework for Partial Compliance of Business Processes. - Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal:
On Batch Normalisation for Approximate Bayesian Inference. - Pauline Kergus, Simone Formentin, Matteo Giuliani, Andrea Castelletti:
Real-time control of water reservoir operations: a learning-based hierarchical approach. - Unai Rioja, Lejla Batina, Jose Luis Flores, Igor Armendariz:
Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis. - Rahul Bhadani:
Path Planning of Unmanned System using Carrot-chasing Algorithm. - Lars Diening, Johannes Storn:
A Space-Time DPG Method for the Heat Equation. - Massimo Bartoletti, James Hsin-yu Chiang, Alberto Lluch-Lafuente:
SoK: Lending Pools in Decentralized Finance. - Raul Fernandez Rojas, Julio Romero, Jehu Lopez-Aparicio, Keng-Liang Ou:
Pain Assessment based on fNIRS using Bidirectional LSTMs. - Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia T. Khan, Benjamin Irving:
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients. - Vlad Sandulescu:
Detecting Hateful Memes Using a Multimodal Deep Ensemble. - Megumi Nakao, Hinako Maekawa, Katsutaka Mineura, Toyofumi Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda:
Statistical modeling of pneumothorax deformation by mapping CT and cone-beam CT images. - Hualu Liu, Xiusheng Liu:
Linear complementary pair of group codes over finite principal ideal rings. - Alexey S. Matveev, Valentin V. Magerkin:
Robotic Following of Flexible Extended Objects: Relevant Technical Facts on the Kinematics of a Moving Continuum. - Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang:
A Hybrid Bandit Framework for Diversified Recommendation. - Ernesto G. Birgin, José Mario Martínez:
Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations. - Tal Daniel, Aviv Tamar:
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder. - Mohamad Gharib:
Designing a Socio-Technical Business Process for Analyzing Information Quality Requirements: Experience Report. - Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta:
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. - Ivan Skorokhodov:
Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians. - Venkat Margapuri, Mitchell L. Neilsen:
Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning. - Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu:
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. - Anastasia Schmitz, Catherine Holloway, Youngjun Cho:
Hearing through Vibrations: Perception of Musical Emotions by Profoundly Deaf People. - Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar:
Learning Vehicle Routing Problems using Policy Optimisation. - Gina Belmonte, Giovanna Broccia, Vincenzo Ciancia, Diego Latella, Mieke Massink:
Using Spatial Logic and Model Checking for Nevus Segmentation. - Md. Mustafizur Rahman, Mücahid Kutlu, Matthew Lease:
Understanding and Predicting the Characteristics of Test Collections. - Danny Keller, Margarita Osadchy, Orr Dunkelman:
Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning. - Xuhui Meng, Hessam Babaee, George Em Karniadakis:
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications. - Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical Planning for Resource Allocation in Emergency Response Systems. - Weikai Li, Chuanxing Geng, Songcan Chen:
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. - Simon Passenheim, Emiel Hoogeboom:
Variational Determinant Estimation with Spherical Normalizing Flows. - Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Generalization in portfolio-based algorithm selection. - Ankit Yadav, Dinesh Kumar Vishwakarma:
Person Re-Identification using Deep Learning Networks: A Systematic Review. - Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan:
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains. - Joseph N. Stember, Hrithwik Shalu:
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets. - Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir, Adeel Razi:
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification. - Qinghua Liu, Zhou Lu:
A Tight Lower Bound for Uniformly Stable Algorithms. - Arda Sahiner, Tolga Ergen, John M. Pauly, Mert Pilanci:
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms. - Martin Lester, Robin P. Neatherway, C.-H. Luke Ong, Steven J. Ramsay:
Verifying Liveness Properties of ML Programs. - Sina Rezaei Aghdam, Sven Jacobsson, Ulf Gustavsson, Giuseppe Durisi, Christoph Studer, Thomas Eriksson:
Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers. - Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Context Aware Approach for Generating Natural Language Attacks. - Yuchi Zhang, Willis Peng, Bastian Wandt, Helge Rhodin:
AudioViewer: Learning to Visualize Sound. - Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal:
Physics guided machine learning using simplified theories. - Ming Dong:
Generating Long-term Continuous Multi-type Generation Profiles using Generative Adversarial Network. - Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg:
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning. - Hadi Akbarzadeh Khorshidi, Michael Kirley, Uwe Aickelin:
Machine learning with incomplete datasets using multi-objective optimization models. - Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams:
To what extent do human explanations of model behavior align with actual model behavior? - A. K. M. Bahalul Haque, Mahbubur Rahman:
Blockchain Technology: Methodology, Application and Security Issues. - Juste Raimbault:
A systematic review and meta-analysis of interaction models between transportation networks and territories. - Konstantinos Nikitopoulos, Marcin Filo, Chathura Jayawardena, Rahim Tafazolli:
Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems. - Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
Global Context Networks. - Zhaobin Mo, Xuan Di, Rongye Shi:
A Physics-Informed Deep Learning Paradigm for Car-Following Models. - Seyyed Ali Hashemi, Marco Mondelli, Arman Fazeli, Alexander Vardy, John M. Cioffi, Andrea Goldsmith:
Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes. - Shaarad A. R, Ambedkar Dukkipati:
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints. - Zhe Jiang:
A Survey on Spatial and Spatiotemporal Prediction Methods. - Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh:
Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback. - Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston:
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. - Ce Zheng, Wenhan Wu, Taojiannan Yang, Sijie Zhu, Chen Chen, Ruixu Liu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah:
Deep Learning-Based Human Pose Estimation: A Survey. - Melih Bastopcu, Sennur Ulukus:
Timely Tracking of Infection Status of Individuals in a Population. - Athirai A. Irissappane, Hanfei Yu, Yankun Shen, Anubha Agrawal, Gray Stanton:
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training. - Karolinne O. Coelho, Philippe R. B. Devloo, Sônia M. Gomes:
Error estimates for the Scaled Boundary Finite Element Method. - Laura Giordano, Daniele Theseider Dupré:
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model. - Vilc Queupe Rufino, Mateus Schulz Nogueira, Alberto Avritzer, Daniel S. Menasché, Barbara Russo, Andrea Janes, Vincenzo Ferme, André van Hoorn, Henning Schulz, Cabral Lima:
Improving Predictability of User-Affecting Metrics to Support Anomaly Detection in Cloud Services. - Anirudh Prabhu, Peter Fox:
Reproducible Workflow. - Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. - Sree Ram Kamabattula, Venkat Devarajan, Babak Namazi, Ganesh Sankaranarayanan:
Identifying Training Stop Point with Noisy Labeled Data. - Kengatharaiyer Sarveswaran, Gihan Dias:
ThamizhiUDp: A Dependency Parser for Tamil. - Qinchen Wang, Sixuan Wu, Tingfeng Xia:
Real-Time Facial Expression Emoji Masking with Convolutional Neural Networks and Homography. - Halit Bugra Tulay, Can Emre Koksal:
Road Traffic Monitoring using DSRC Signals. - Abdul Rafey Aftab, Michael von der Beeck, Michael Feld:
You Have a Point There: Object Selection Inside an Automobile Using Gaze, Head Pose and Finger Pointing. - Xing Shi, Yijun Xiao, Kevin Knight:
Why Neural Machine Translation Prefers Empty Outputs. - Daniele Bertolini, Anton D. Loukianov, Aaron M. Smith, David Li-Bland, Yannick Pouliot, Jonathan R. Walsh, Charles K. Fisher:
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins. - Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff:
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees. - Mashrur Chowdhury, Mhafuzul Islam, Zadid Khan:
Security of Connected and Automated Vehicles. - Rong Huang, Yusheng Xu, Uwe Stilla:
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification. - Vishnu Mahesh Vivek Nanda, Laura Tateosian, Perver Baran:
GIS-Based Estimation of Seasonal Solar Energy Potential for Parking Lots and Roads. - Zixuan Gao, Jiuyang Liang, Zhenli Xu:
Kernel-Independent Sum-of-Exponentials with Application to Convolution Quadrature. - Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart:
Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. - Victor Chan, Qijian Gan, Alexandre M. Bayen:
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction. - Yingfei Wang, Inbal Yahav, Balaji Padmanabhan:
Whom to Test? Active Sampling Strategies for Managing COVID-19. - Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network. - Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup:
Towards Continual Reinforcement Learning: A Review and Perspectives. - Xin Zhao, Liang Zhao, Madhu Peringassery Krishnan, Yixin Du, Shan Liu, Debargha Mukherjee, Yaowu Xu, Adrian Grange:
Study On Coding Tools Beyond Av1. - Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao:
Self-supervised Pre-training with Hard Examples Improves Visual Representations. - Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang:
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification. - Lavanya Umapathy, Wyatt Unger, Faryal Shareef, Hina Arif, Diego R. Martín, Maria I. Altbach, Ali Bilgin:
A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images. - Zhifeng Yuan, Yihua Ma, Guanghui Yu:
LMMSE Processing for Cell-free Massive MIMO with Radio Stripes and MRC Fronthaul. - Pranay Bhardwaj, Syed Mohammad Zafaruddin:
Performance of Dual-Hop Relaying for THz-RF Wireless Link. - Rahul Gopinath, Bachir Bendrissou, Björn Mathis, Andreas Zeller:
Fuzzing with Fast Failure Feedback. - Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu:
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. - Xiaodan Shao, Xiaoming Chen, Yiyang Qiang, Caijun Zhong, Zhaoyang Zhang:
Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection. - Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao:
Brain-inspired Search Engine Assistant based on Knowledge Graph. - Di Yang, Yinnian He:
A discontinuous Galerkin method by patch reconstruction for convection-diffusion-reaction problems over polytopic meshes. - Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang:
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks. - Reona Takemoto, Takayuki Nozaki:
Construction and Encoding Algorithm for Maximum Run-Length Limited Single Insertion/Deletion Correcting Code. - Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao:
Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing. - Huimei Han, Lushun Fang, Weidang Lu, Wenchao Zhai, Ying Li, Jun Zhao:
A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems. - Maxim Bakaev, Sebastian Heil, Martin Gaedke:
Distributional Ground Truth: Non-Redundant Crowdsourcing Data Quality Control in UI Labeling Tasks. - Shubhendra Pal Singhal:
Graph500 from OCaml-Multicore Perspective. - Yihua Ma, Zhifeng Yuan, Weimin Li, Zhigang Li:
PDRS: A Fast Non-iterative Scheme for Massive Grant-free Access in Massive MIMO. - Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer:
Intuitiveness in Active Teaching. - Kentaro Mihara, Ryohei Yamaguchi, Miguel Mitsuishi, Yusuke Maruyama:
Neural Network Training With Homomorphic Encryption. - Dwipak Prasad Sahu, Prabana Jetty, S. Narayana Jammalamadaka:
Graphene oxide based synaptic memristor device for neuromorphic computing. - Xuli Tang, Xin Li, Ying Ding, Feicheng Ma:
Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance. - Tiancai Wang, Xiangyu Zhang, Jian Sun:
Implicit Feature Pyramid Network for Object Detection. - Mahbod Nouri, Faraz Moradi, Hafez Ghaemi, Ali Motie Nasrabadi:
Toward Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework. - Gang Chen, Maosong Sun, Yang Liu:
Towards a Universal Continuous Knowledge Base. - Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. - Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao:
Robustness, Privacy, and Generalization of Adversarial Training. - Margarita Rebolledo, Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
Technical Report: Flushing Strategies in Drinking Water Systems. - Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Chang Juan:
Contextual Temperature for Language Modeling. - Minh Le, Subhradeep Kayal:
Revisiting Edge Detection in Convolutional Neural Networks. - Jiangjie Chen, Qiaoben Bao, Jiaze Chen, Changzhi Sun, Hao Zhou, Yanghua Xiao, Lei Li:
LOREN: Logic Enhanced Neural Reasoning for Fact Verification. - Gerhard Kurz, Florian Faion, Florian Pfaff, Antonio Zea, Uwe D. Hanebeck:
Three-dimensional Simultaneous Shape and Pose Estimation for Extended Objects Using Spherical Harmonics. - Ajoy Mondal:
Camouflaged Object Detection and Tracking: A Survey. - Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp:
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling. - Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu:
Inception Convolution with Efficient Dilation Search. - Vahid Garousi, David Cutting, Michael Felderer:
Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps. - Akhil Pandey Akella, Hamed Alhoori, Pavan Ravikanth Kondamudi, Cole Freeman, Haiming Zhou:
Early Indicators of Scientific Impact: Predicting Citations with Altmetrics. - Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. - Jackie Ayoub, X. Jessie Yang, Feng Zhou:
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability. - Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami, Hanan Lutfiyya:
DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning Based Approach. - Foad Sohrabi, Zhilin Chen, Wei Yu:
Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment. - Gauri Joshi, Dhruva Kaushal:
Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits. - Ke Feng, Martin Haenggi:
Joint Spatial-Propagation Modeling of Cellular Networks Based on the Directional Radii of Poisson Voronoi Cells. - Yi Yu, Maksymilian Dryja, Marcus Sarkis:
From Additive Average Schwarz Methods to Non-overlapping Spectral Additive Schwarz Methods. - Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. - Auwal Tijjani Amshi, Jian Shu:
Complex Network Influence Evaluation based on extension of Grueblers Equation. - Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali:
BiPart: A Parallel and Deterministic Multilevel Hypergraph Partitioner. - Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On self-supervised multi-modal representation learning: An application to Alzheimer's disease. - Sagar Venkatesh Gubbi, Raviteja Upadrashta, Shishir Kolathaya, Bharadwaj Amrutur:
Teaching Robots Novel Objects by Pointing at Them. - Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Taxonomy of multimodal self-supervised representation learning. - Anuradha Welivita, Yubo Xie, Pearl Pu:
Fine-grained Emotion and Intent Learning in Movie Dialogues. - Lauri Lahti:
Detecting the patient's need for help with machine learning. - Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong:
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning. - Huachuan Wang, James Ting-Ho Lo:
Adaptively Solving the Local-Minimum Problem for Deep Neural Networks. - Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann:
Detecting Road Obstacles by Erasing Them. - Samy Badreddine, Artur S. d'Avila Garcez, Luciano Serafini, Michael Spranger:
Logic Tensor Networks. - Yue Hu, Ao Qu, Dan Work:
Graph Convolutional Networks for traffic anomaly. - Marco Favorito:
Standard Grammars for LTL and LDL (v0.1.0). - Jianwei Zhang:
Extreme Flow Decomposition for Multi-Source Multicast with Intra-Session Network Coding. - Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. - Sujan Kumar Gonugondla, Charbel Sakr, Hassan Dbouk, Naresh R. Shanbhag:
Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications. - Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup:
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. - Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. - Zhiyuan Jiang:
Analyzing Age of Information in Multiaccess Networks by Fluid Limits. - Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Seok-Bum Ko:
PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier. - Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen:
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. - Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou:
Robust Collaborative Learning with Noisy Labels. - Abdelkader Khouass, J. Christian Attiogbé, Mohamed Messabihi:
Multi-Facets Contract for Modeling and Verifying Heterogeneous Systems. - Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, Soroush Vosoughi:
Social media data reveals signal for public consumer perceptions. - Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. - Song-Kyoo Kim:
Toward Compact Data from Big Data. - Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou:
Improving the Generalization of End-to-End Driving through Procedural Generation. - Qiang He, Xinwen Hou:
POPO: Pessimistic Offline Policy Optimization. - Bin Huang, Jiayong Li, Jianhui Wang:
An Evidential Reasoning Based Approach to Building Node Selection Criterion for Network Reduction. - Xiaoying Wu, Dimitri Theodoratos, Nikos Mamoulis:
Discovering Closed and Maximal Embedded Patterns from Large Tree Data. - Nusrat Binta Nizam, Tohfatul Jinan, Wahida Binte Naz Aurthy, Md. Rakib Hossen, Jahid Ferdous:
Android Based Low Cost Sitting Posture Monitoring System. - Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Ling-Yu Duan:
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification. - Sagar Venkatesh Gubbi, Bharadwaj Amrutur:
One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks. - Jiaxin Zhou, Wangtao Lu:
Resonance Frequencies of a Slab with Subwavelength Slits: a Fourier-transformation Approach. - Jiayu Bao:
Sparse Adversarial Attack to Object Detection. - Sagar Venkatesh Gubbi, Anirban Biswas, Raviteja Upadrashta, Vikram Srinivasan, Partha Talukdar, Bharadwaj Amrutur:
Spatial Reasoning from Natural Language Instructions for Robot Manipulation. - Sagar Venkatesh Gubbi, Raviteja Upadrashta, Bharadwaj Amrutur:
Translating Natural Language Instructions to Computer Programs for Robot Manipulation. - Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation. - Chen Avin:
Arithmetic Binary Search Trees: Static Optimality in the Matching Model. - Lam Dang Pham, Huy Phan, Ross King, Alfred Mertins, Ian McLoughlin:
Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases. - Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas K. Maier:
2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging. - Hasan Karjoun, Abdelaziz Beljadid, Philippe G. LeFloch:
A well-balanced positivity preserving cell-vertex finite volume method satisfying the discrete maximum-minimum principle for coupled models of surface water flow and scalar transport. - M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar, G. Dinesh Manohar:
Are Guessing, Source Coding, and Tasks Partitioning Birds of a Feather? - Tej Pratap G. V. S. L., Raja Kumar:
Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference. - Mostafa Kalhor, Ahmad Kalhor, Mehdi Rahmani:
Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index. - Anna Georgiadou, Spiros Mouzakitis, Dimitrios Askounis:
Towards Assessing Critical Infrastructures Cyber-Security Culture During Covid-19 Crisis: A Tailor-Made Survey. - Yanlong Cao, Binjie Ding, Zewei He, Jiangxin Yang, Jingxi Chen, Yanpeng Cao, Xin Li:
Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo. - Mouad Zine El Abidine, Helin Dutagaci, Gilles Galopin, David Rousseau:
Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds. - Samuel Felipe dos Santos, Jurandy Almeida:
Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain. - Thomas Dagès, Alfred M. Bruckstein:
Doubly Stochastic Pairwise Interactions for Agreement and Alignment. - Alex Cummaudo, Rajesh Vasa, John C. Grundy, Mohamed Almorsy Abdelrazek:
Requirements of API Documentation: A Case Study into Computer Vision Services. - Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang:
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies. - Ryoichi Takase, Nobuyuki Yoshikawa, Toshisada Mariyama, Takeshi Tsuchiya:
Stability-Certified Reinforcement Learning via Spectral Normalization. - Aditya Bharti, Vineeth N. Balasubramanian, C. V. Jawahar:
Few Shot Learning With No Labels. - Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg:
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. - Yuncong Hong, Bojie Lv, Rui Wang, Haisheng Tan, Zhenhua Han, Hao Zhou, Francis C. M. Lau:
Online Distributed Job Dispatching with Outdated and Partially-Observable Information. - Yuan Wang, Hideaki Ishii, François Bonnet, Xavier Défago:
Resilient Consensus Against Epidemic Malicious Attacks. - Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung:
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. - Hopyong Gil, Sangwoo Park, Yusang Park, Wongoo Han, Juyean Hong, Juneyoung Jung:
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection. - Peng Li, Wengu Chen, Qiyu Sun:
Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval. - Jovisa D. Zunic, Milos Stojmenovic:
An Affine moment invariant for multi-component shapes. - Ismael T. Freire, Adrián Fernández Amil, Vasiliki Vouloutsi, Paul F. M. J. Verschure:
Towards sample-efficient episodic control with DAC-ML. - Daniel Gamermann, José Antônio Pellizaro:
An algorithm for network community structure determination by surprise. - Ali H. Abdollahi Bafghi, Vahid Jamali, Masoumeh Nasiri-Kenari, Robert Schober:
Degrees of Freedom of the K-User Interference Channel in the Presence of Intelligent Reflecting Surfaces. - YuanZheng Hu, Marina Sokolova:
Explainable Multi-class Classification of Medical Data. - Federico Carli, Manuele Leonelli, Gherardo Varando:
A new class of generative classifiers based on staged tree models. - Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. - Vitor Manuel Dinis Pereira:
Analogy, Mind, and Life. - Shira Faigenbaum-Golovin, David Levin:
Approximation of Functions on Manifolds in High Dimension from Noisy Scattered Data. - (Withdrawn) Weighting-Based Treatment Effect Estimation via Distribution Learning.
- Danilo Pianini, Roberto Casadei, Mirko Viroli, Stefano Mariani, Franco Zambonelli:
Time-Fluid Field-Based Coordination through Programmable Distributed Schedulers. - Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Jun Zhao, Lin Sun:
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture. - Xiaosha Chen, Supeng Leng, Jianhua He, Longyu Zhou:
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving. - Raphael Memmesheimer, Simon Häring, Nick Theisen, Dietrich Paulus:
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition. - Yassine Ouali, Céline Hudelot, Myriam Tami:
Spatial Contrastive Learning for Few-Shot Classification. - Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin:
Inserting Information Bottlenecks for Attribution in Transformers. - Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes:
Understanding Decoupled and Early Weight Decay. - Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka:
SparsePipe: Parallel Deep Learning for 3D Point Clouds. - Veronica R. Bosquezfoti, Andrew L. Liu:
A Distributed Optimization Approach to the Multi-Regional Day-Ahead Clearing Process in Electricity Markets. - Hongliang Zhang, Shoudong Han, Xiaofeng Pan, Jun Zhao:
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification. - William McLean, Kassem Mustapha:
Uniform stability for a spatially-discrete, subdiffusive Fokker-Planck equation. - Aaron S. Baumgarten, Benjamin L. S. Couchman, Ken Kamrin:
A coupled finite volume and material point method for two-phase simulation of liquid-sediment and gas-sediment flows. - Longfei Gao, Omar Ghattas, David E. Keyes:
Energy-conserving 3D elastic wave simulation with finite difference discretization on staggered grids with nonconforming interfaces. - Ziwen Pan, Ivan B. Djordjevic:
Secret Key Distillation over Satellite-to-satellite Free-space Optics Channel with Eavesdropper Dynamic Positioning. - Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Learning Light-Weight Translation Models from Deep Transformer. - Abhinav Gupta, Pierre F. J. Lermusiaux:
Neural Closure Models for Dynamical Systems. - Ziming Wang, Tao Cui, Xueshuang Xiang:
A Neural Network with Plane Wave Activation for Helmholtz Equation. - Swapnil Parekh, Yaman Kumar Singla, Changyou Chen, Junyi Jessy Li, Rajiv Ratn Shah:
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism. - Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
An Embarrassingly Simple Model for Dialogue Relation Extraction. - Haris Aziz, Bo Li, Xiaowei Wu:
Approximate and Strategyproof Maximin Share Allocation of Chores with Ordinal Preferences. - Gaoyang Liu, Yang Yang, Xiaoqiang Ma, Chen Wang, Jiangchuan Liu:
Federated Unlearning. - Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li, Fengmao Lv:
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection. - Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma:
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. - Xudong Lv, Boya Wang, Dong Ye, Shuo Wang:
Lidar and Camera Self-Calibration using CostVolume Network. - Michela Fazzolari, Francesco Buccafurri, Gianluca Lax, Marinella Petrocchi:
Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution. - Mark Colley, Marcel Walch, Enrico Rukzio:
Towards Reducing Energy Waste through Usage of External Communication of Autonomous Vehicles. - Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao:
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. - Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang:
SG-Net: Syntax Guided Transformer for Language Representation. - Julian Risch, Nicolas Alder, Christoph Hewel, Ralf Krestel:
PatentMatch: A Dataset for Matching Patent Claims & Prior Art. - Anthony Bordg, Hanna Lachnitt, Yijun He:
Certified Quantum Computation in Isabelle/HOL. - Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson:
MMSE-Optimal Sequential Processing for Cell-Free Massive MIMO With Radio Stripes. - Julius Osato Ehigie, Vu Thai Luan, Solomon A. Okunuga, Xiong You:
Exponentially fitted two-derivative DIRK methods for oscillatory differential equations. - Kashif Munir, Hai Zhao, Zuchao Li:
Adaptive Convolution for Semantic Role Labeling. - Alexandre Poulain, Katharina Schratz:
Convergence, error analysis and longtime behavior of the Scalar Auxiliary Variable method for the nonlinear Schrödinger equation. - Youssef Mohamed, Séverin Lemaignan:
ROS for Human-Robot Interaction. - Karola Marky, Andreas Weiß, Julien Gedeon, Sebastian Günther:
Mastering Music Instruments through Technology in Solo Learning Sessions. - Felix Leibfried, Vincent Dutordoir, S. T. John, Nicolas Durrande:
A Tutorial on Sparse Gaussian Processes and Variational Inference. - Guoxin Fang, Yingjun Tian, Zhi-Xin Yang, Jo M. P. Geraedts, Charlie C. L. Wang:
Jacobian-based learning for inverse kinematics of soft robots. - Zuhui Wang, Zhaozheng Yin, Young Anna Argyris:
Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning. - Lun-Pin Yuan, Euijin Choo, Ting Yu, Issa Khalil, Sencun Zhu:
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users. - Lun-Pin Yuan, Peng Liu, Sencun Zhu:
Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder. - Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). - Piotr Koniusz, Hongguang Zhang:
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification. - Raghavendra Addanki, Andrew McGregor, Cameron Musco:
Intervention Efficient Algorithms for Approximate Learning of Causal Graphs. - James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan:
Capacity-achieving Polar-based LDGM Codes. - Zhi Wen, Xing Han Lu, Siva Reddy:
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining. - Tatiana Kozitsina, Vyacheslav Goiko, Roman Palkin, Valentin Khomutenko, Yuliya Mundrievskaya, Maria Sukhareva, Isak Froumin, Mikhail Myagkov:
Measuring University Impact: Wikipedia approach. - Cong Fang, Hanze Dong, Tong Zhang:
Mathematical Models of Overparameterized Neural Networks. - Alexis Ross, Ana Marasovic, Matthew E. Peters:
Explaining NLP Models via Minimal Contrastive Editing (MiCE). - Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura:
The metrics of keywords to understand the difference between Retweet and Like in each category. - Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura:
Analysis of Short Dwell Time in Relation to User Interest in a News Application. - Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong:
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. - Cheng Tang, Andrew Arnold:
Neural document expansion for ad-hoc information retrieval. - Charles K. Chui, Qingtang Jiang, Lin Li, Jian Lu:
Time-Scale-Chirp_rate Operator for Recovery of Non-stationary Signal Components with Crossover Instantaneous Frequency Curves. - Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. - Sebastian A. Nugroho, Ahmad F. Taha:
Towards Understanding Sensor and Control Nodes Selection in Nonlinear Dynamic Systems: Lyapunov Theory Meets Branch-and-Bound. - Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. - Ronghuai Qi, Amir Khajepour, William W. Melek:
Modeling, Vibration Control, and Trajectory Tracking of a Kinematically Constrained Planar Hybrid Cable-Driven Parallel Robot. - Donya Nojavanzadeh, Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel:
Scale-free Protocol Design for Output and Regulated Output Synchronization of Heterogeneous Multi-agent Systems. - Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Liming Zheng, Peter Z. Fulé, Erik Blasch:
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset. - Tao Li, Guanze Peng, Quanyan Zhu:
Blackwell Online Learning for Markov Decision Processes. - Yang Lyu, Thien-Minh Nguyen, Liu Liu, Muqing Cao, Shenghai Yuan, Thien Hoang Nguyen, Lihua Xie:
SPINS: Structure Priors aided Inertial Navigation System. - Xinglu Wang:
Person Re-identification with Adversarial Triplet Embedding. - Yiming Liu, Erwu Liu, Rui Wang, Binyu Lu:
Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System. - YuanZheng Hu, Marina Sokolova:
Convolutional Neural Networks in Multi-Class Classification of Medical Data. - Xinglu Wang:
Adversarial Multi-scale Feature Learning for Person Re-identification. - Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. - Yiming Wang, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Shuang Zhou, Wanyu Meng:
From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi. - Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding:
Generative Partial Visual-Tactile Fused Object Clustering. - Yangyang Zhao, Zhenyu Wang, Zhenhua Huang:
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning. - Sundar Shrestha, Maksym Spiryagin, Qing Wu:
Real time multibody modeling and simulation of a scaled bogie test rig. - Daniel Xu:
Modeling of Network Based Digital Contact Tracing and Testing Strategies for the COVID-19 Pandemic. - Maxime Gallais-Jimenez, Hoan Anh Nguyen, Mohamed Aymen Saied, Tien N. Nguyen, Houari A. Sahraoui:
API Misuse Detection An Immune System inspired Approach. - Yuki Amano, Kazuhisa Makino:
A 3/4 Differential Approximation Algorithm for Traveling Salesman Problem. - Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek:
A Kubernetes Controller for Managing the Availability of Elastic Microservice Based Stateful Applications. - Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois:
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval. - Ján Pich:
Learning algorithms from circuit lower bounds. - Ali Raza Shahid, Sheheryar Khan, Hong Yan:
Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion. - Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang:
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. - Hailiang Zhao, Shuiguang Deng, Zijie Liu, Zhengzhe Xiang, Jianwei Yin, Schahram Dustdar, Albert Y. Zomaya:
DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks. - Mir Hassan, Chen Jincai, Adnan Iftekhar, Adnan Shehzad, Xiaohui Cui:
Implementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection. - William P. Wagner IV:
A Technological Perspective on Net Neutrality. - Bowen Zhao, Chen Chen, Wanpeng Xiao, Xi Xiao, Qi Ju, Shutao Xia:
Towards A Category-extended Object Detector without Relabeling or Conflicts. - Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang:
Syntax-Enhanced Pre-trained Model. - Li-Wei Chen, Wei-Chen Chiu, Chin-Tien Wu:
Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation. - Keisuke Shirai, Kazuma Hashimoto, Akiko Eriguchi, Takashi Ninomiya, Shinsuke Mori:
Neural Text Generation with Artificial Negative Examples. - Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu:
Joint Intensity-Gradient Guided Generative Modeling for Colorization. - Mustafa Burak Gurbuz, Islem Rekik:
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. - Marcin Copik, Grzegorz Kwasniewski, Maciej Besta, Michal Podstawski, Torsten Hoefler:
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing. - Sadegh Dalvandi, Brijesh Dongol:
Verifying C11-Style Weak Memory Libraries. - Sajad Sotudeh, Arman Cohan, Nazli Goharian:
On Generating Extended Summaries of Long Documents. - Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing. - Alexander Ostermann, Frédéric Rousset, Katharina Schratz:
Error estimates at low regularity of splitting schemes for NLS. - Qian Ma, Edmund Yeh, Jianwei Huang:
Selfish Caching Games on Directed Graphs. - Ugur Erkan, Abdurrahim Toktas, Serdar Enginoglu, Enver Karabacak, Dang N. H. Thanh:
An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN. - Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks. - Yew Ken Chia, Sam Witteveen, Martin Andrews:
Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking. - Magnús M. Halldórsson, Fabian Kuhn, Yannic Maus, Tigran Tonoyan:
Efficient Randomized Distributed Coloring in CONGEST. - Yue Li, Benedetta Tondi, Mauro Barni:
Spread-Transform Dither Modulation Watermarking of Deep Neural Network. - Joe Kileel, Amit Moscovich, Nathan Zelesko, Amit Singer:
Manifold learning with arbitrary norms. - David Morales, Estefanía Talavera, Beatriz Remeseiro:
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques. - Mingyu Xiao, Hiroshi Nagamochi:
Bounded-Degree Cut is Fixed-Parameter Tractable. - Gabriela Csurka:
Deep Visual Domain Adaptation. - Javier Gonzalez-Huerta, Jefferson Seide Molléri, Aivars Sablis, Ehsan Zabardast:
Experiential Learning Approach for Software Engineering Courses. - Filippo Brandolini, Guillem Domingo Ribas, Andrea Zerboni, Sam Turner:
A Google Earth Engine-enabled Python approach to improve identification of anthropogenic palaeo-landscape features. - Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi:
A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions. - Alex Hernández-García:
Data augmentation and image understanding. - Hichem Sahbi:
Action Recognition with Kernel-based Graph Convolutional Networks. - Jinhong Jung, Jaemin Yoo, U Kang:
Signed Graph Diffusion Network. - Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. - Sebastian Enqvist, Valentin Goranko:
The temporal logic of coalitional goal assignments in concurrent multi-player games. - Daniel Clavel, Cristian Mahulea, Manuel Silva:
On Liveness Enforcement of Distributed Petri Net Systems. - Max von Danwitz, Patrick Antony, Fabian Key, Norbert Hosters, Marek Behr:
Four-Dimensional Elastically Deformed Simplex Space-Time Meshes for Domains with Time Variant Topology. - Stefan Konigorski, Sarah Wernicke, Tamara Slosarek, Alexander M. Zenner, Nils Strelow, Ferenc D. Ruether, Florian Henschel, Manisha Manaswini, Fabian Pottbäcker, Jonathan A. Edelman, Babajide Alamu Owoyele, Matteo Danieletto, Eddye Golden, Micol Zweig, Girish N. Nadkarni, Erwin P. Böttinger:
StudyU: a platform for designing and conducting innovative digital N-of-1 trials. - Marco Guarnieri, Marco Patrignani:
Contract-Aware Secure Compilation. - Nils Reimers, Iryna Gurevych:
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes. - Sen Yang, Zhibin Quan, Mu Nie, Wankou Yang:
TransPose: Towards Explainable Human Pose Estimation by Transformer. - Ismet Karakan, Ceren Gürkan, Cem Avci:
A Comparison Between Meshless Radial Basis Function Collocation Method and Finite Element Method for Solving Poisson and Stokes Problems. - Hejing Li, Jialin Li, Keon Jang, Antoine Kaufmann:
Reproducible Host Networking Evaluation with End-to-End Simulation. - Song Noh, Heejung Yu, Youngchul Sung:
Training Signal Design for Sparse Channel Estimation in Intelligent Reflecting Surface-Assisted Millimeter-Wave Communication. - Yong Huang, Wei Wang, Tao Jiang, Qian Zhang:
Detecting Colluding Sybil Attackers in Robotic Networks using Backscatters. - Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang:
Causal World Models by Unsupervised Deconfounding of Physical Dynamics. - Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron:
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration. - Hyung-Chan An, Robert Kleinberg, David B. Shmoys:
Approximation Algorithms for the Bottleneck Asymmetric Traveling Salesman Problem. - Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. - Margarida Ferreira, Miguel Terra-Neves, Miguel Ventura, Inês Lynce, Ruben Martins:
FOREST: An Interactive Multi-tree Synthesizer for Regular Expressions. - Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos:
Square-Cut Pizza Sharing is PPA-complete. - Thomas Vogel, Chinh Tran, Lars Grunske:
A Comprehensive Empirical Evaluation of Generating Test Suites for Mobile Applications with Diversity. - Marko Mihajlovic, Silvan Weder, Marc Pollefeys, Martin R. Oswald:
DeepSurfels: Learning Online Appearance Fusion. - Vladimir Vovk:
Testing for concept shift online. - Qiya Hu, Zezhong Wang:
A geometric optics ansatz-based plane wave method for two dimensional Helmholtz equations with variable wave numbers. - Hanlei Wang, Wei Ren, Chien Chern Cheah:
A Differential-Cascaded Paradigm for Control of Nonlinear Systems. - Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard:
Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models. - Eva Agapaki, Ioannis K. Brilakis:
Instance Segmentation of Industrial Point Cloud Data. - Carme Àlvarez, Arnau Messegué:
New Insights into the Structure of Equilibria for the Network Creation Game. - Xiaoyu Chen, Chi Zhang, Guosheng Lin, Jing Han:
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation. - Cristina Palmero, Javier Selva, Sorina Smeureanu, Júlio C. S. Jacques Júnior, Albert Clapés, Alexa Moseguí, Zejian Zhang, David Gallardo-Pujol, Georgina Guilera, David Leiva, Sergio Escalera:
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset. - Yu Zhang, Peter Tiño, Ales Leonardis, Ke Tang:
A Survey on Neural Network Interpretability. - Lutz Kämmerer:
A fast probabilistic component-by-component construction of exactly integrating rank-1 lattices and applications. - Matthieu Jedor, Jonathan Louëdec, Vianney Perchet:
Lifelong Learning in Multi-Armed Bandits. - Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda, Yusuke Matsui:
Towards Fully Automated Manga Translation. - Kirill Martynov, Kiran Garimella, Robert West:
Darks and Stripes: Effects of Clothing on Weight Perception. - Branimir Ivsic, Juraj Bartolic, Zvonimir Sipus, Josip Babic:
UWB Propagation Characteristics of Human-to-Robot Communication in Automated Collaborative Warehouse. - MohammadReza Besharati, Mohammad Izadi:
A Reo Based Solution for Engineering the Coordination Protocols for Smart Cities. - Sarah Schwettmann, Hendrik Strobelt, Mauro Martino:
Latent Compass: Creation by Navigation. - Daniel E. Ho, Alice Xiang:
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness. - Param Kothari:
Six Degree of Freedom Robotic Arm with Mimicking Mechanism. - Simon Dirckx, Daan Huybrechs, Karl Meerbergen:
Frequency extraction for BEM-matrices arising from the 3D scalar Helmholtz equation. - Xingchen Zhao, Pengtao Xie:
Learning by Ignoring. - Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O'Connor, James Laughton:
I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management. - Abhishek Shende, Deepanshu Vasal, Sriram Vishwanath:
Network Design for Social Welfare. - Adrián Pérez-Suay, Gustau Camps-Valls:
Causal Inference in Geosciences with Kernel Sensitivity Maps. - Bharat Bohara:
Adaptive Threshold for Better Performance of the Recognition and Re-identification Models. - Mohammad Khalil:
MOLAM: A Mobile Multimodal Learning Analytics Conceptual Framework to Support Student Self-Regulated Learning. - Juan Rocha, Linda Luvuno, Jesse Rieb, Erin Crockett, Katja Malmborg, Michael Schoon, Garry Peterson:
Panarchy: ripples of a boundary concept. - Alina Kloss, Georg Martius, Jeannette Bohg:
How to Train Your Differentiable Filter. - Zhen Li, Sunzeng Cai, Xiaoyi Wang, Zhe Liu, Nian Xue:
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking. - Heng Guo, Giorgos Mousa:
Local-to-Global Contraction in Simplicial Complexes. - Wenpeng He, Dan Feng, Fang Wang:
IRO: Integrity and Reliability Enhanced Ring ORAM. - Yian Li, Hai Zhao:
BURT: BERT-inspired Universal Representation from Learning Meaningful Segment. - Haibin Xie, Minquan Cheng, Yongbing Zhang:
Freshness-Optimal Caching for Information Updating Systems with Limited Cache Storage Capacity. - Ljupco Kocarev, Jasna Koteska:
Digital me ontology and ethics. - Sanjay Sarma O. V., Ramviyas Parasuraman, Ramana M. Pidaparti:
Impact of Heterogeneity in Multi-Robot Systems on Collective Behaviors Studied Using a Search and Rescue Problem. - Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz:
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19. - Igor Kadota, Muhammad Shahir Rahman, Eytan H. Modiano:
WiFresh: Age-of-Information from Theory to Implementation. - Saeed Mohammadzadeh, Vítor H. Nascimento, Rodrigo C. de Lamare:
Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming. - Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale:
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. - Dvir Ben-Or, Michael Kolomenkin, Gil Shabat:
Generalized Quantile Loss for Deep Neural Networks. - Abraham Noah Wu, Filip Biljecki:
Roofpedia: Automatic mapping of green and solar roofs for an open roofscape registry and evaluation of urban sustainability. - Michele Polese, Francesco Restuccia, Tommaso Melodia:
DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks. - Jon Vadillo, Roberto Santana, José Antonio Lozano:
Analysis of Dominant Classes in Universal Adversarial Perturbations. - Md. Rezaul Karim, Sumon Kanti Dey, Bharathi Raja Chakravarthi:
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language. - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics. - Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Chin-Hui Lee, Bao-Cai Yin:
Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention. - Mnacho Echenim, Radu Iosif, Nicolas Peltier:
Checking Entailment Between Separation Logic Symbolic Heaps: Beyond Connected and Established Systems. - Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu:
Fast CUDA-Aware MPI Datatypes without Platform Support. - Jian Zhang, Cunjing Ge, Feifei Ma:
Counting the Number of Solutions to Constraints. - Zeyuan Allen-Zhu, Faeze Ebrahimian, Jerry Li, Dan Alistarh:
Byzantine-Resilient Non-Convex Stochastic Gradient Descent. - Piotr Koniusz, Lei Wang, Anoop Cherian:
Tensor Representations for Action Recognition. - Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve:
Universal Sentence Representation Learning with Conditional Masked Language Model. - Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire:
Cache-aided General Linear Function Retrieval. - Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Enhanced Regularizers for Attributional Robustness. - Luann C. Jung, Haiyan Wang:
Interactions of Linguistic and Domain Overhypotheses in Category Learning. - Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner:
Deep Neural Models for color discrimination and color constancy. - Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek:
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python. - Matthias Christandl, Vladimir Lysikov, Jeroen Zuiddam:
Weighted Slice Rank and a Minimax Correspondence to Strassen's Spectra. - Chris Junchi Li, Michael I. Jordan:
Stochastic Approximation for Online Tensorial Independent Component Analysis. - Lingzhu Zhang, Alain J. F. Chiaradia:
Urban volumetrics: spatial complexity and wayfinding, extending space syntax to three dimensional space. - Junya Arai, Makoto Onizuka, Yasuhiro Fujiwara, Sotetsu Iwamura:
Fast Subgraph Matching by Exploiting Search Failures. - Anupam Das:
A circular version of Gödel's T and its abstraction complexity. - Benjamin M. Ampel:
Predicting Organizational Cybersecurity Risk: A Deep Learning Approach. - Samuel Felipe dos Santos, Jurandy Almeida:
Deep Learning Towards Edge Computing: Neural Networks Straight from Compressed Data. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. - Ismail B. Mustapha, Shafaatunnur Hasan, Sunday Olusanya Olatunji, Siti Mariyam Shamsuddin, Afolabi Kazeem:
Effective Email Spam Detection System using Extreme Gradient Boosting. - Matteo Palieri, Benjamin Morrell, Abhishek Thakur, Kamak Ebadi, Jeremy Nash, Arghya Chatterjee, Christoforos Kanellakis, Luca Carlone, Cataldo Guaragnella, Ali-Akbar Agha-Mohammadi:
LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time. - Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. - Elias Vathias, Stathes Hadjiefthymiades:
A Stock Options Metaphor for Content Delivery Networks. - Jayendra Kantipudi, Shiv Ram Dubey, Soumendu Chakraborty:
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks. - Alwin Förster, Malte Krack:
An efficient method for approximating resonance curves of weakly-damped nonlinear mechanical systems. - Vasiliki Tassopoulou, George Retsinas, Petros Maragos:
Enhancing Handwritten Text Recognition with N-gram sequence decomposition and Multitask Learning. - Alberto Camacho, Jacob Varley, Deepali Jain, Atil Iscen, Dmitry Kalashnikov:
Disentangled Planning and Control in Vision Based Robotics via Reward Machines. - Ryan C. Saxe, Samantha Kappagoda, David K. A. Mordecai:
Classification of Pathological and Normal Gait: A Survey. - Malte Krack, Sebastian Tatzko, Lars Panning-von Scheidt, Jörg Wallaschek:
Reliability optimization of friction-damped systems using nonlinear modes. - Malte Krack, Lars Panning-von Scheidt, Jörg Wallaschek:
On the computation of the slow dynamics of nonlinear modes of mechanical systems. - Ben Goertzel:
Paraconsistent Foundations for Probabilistic Reasoning, Programming and Concept Formation. - Po-Ming Law, Leo Yu-Ho Lo, Alex Endert, John T. Stasko, Huamin Qu:
Causal Perception in Question-Answering Systems. - Zulfiqar Ali Khan, Akbar Siami Namin:
A Survey on Vulnerabilities of Ethereum Smart Contracts. - Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones:
Phishing Detection through Email Embeddings. - Gernot Beer, Christian Dünser, Vincenzo Mallardo:
Efficient and realistic 3-D Boundary Element simulations of underground construction using isogeometric analysis. - Xiangci Li, Gully A. Burns, Nanyun Peng:
A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification. - Ronald A. DeVore, Boris Hanin, Guergana Petrova:
Neural Network Approximation. - Valentino Constantinou, Mori Kabiri:
Detecting Anomalous line-items by Modeling the Legal Case Lifecycle. - Robi Bhattacharjee, Michal Moshkovitz:
No-substitution k-means Clustering with Adversarial Order. - Xuerui Wang, Tigran Mkhoyan, Iren Mkhoyan, Roeland de Breuker:
Seamless Active Morphing Wing Simultaneous Gust and Maneuver Load Alleviation. - Jingbo Liu:
Minoration via Mixed Volumes and Cover's Problem for General Channels. - Bilal Raza, Stephen G. MacDonell, Tony Clear:
Research in Global Software Engineering: A Systematic Snapshot. - Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu:
Robust Dialogue Utterance Rewriting as Sequence Tagging. - Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell:
Multi-Principal Assistance Games: Definition and Collegial Mechanisms. - Diana Kirk, Stephen G. MacDonell:
A Model for Software Contexts. - Davide Nunes, Luis Antunes:
TensorX: Extensible API for Neural Network Model Design and Deployment. - Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman:
Source Identification for Mixtures of Product Distributions. - Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim:
YASO: A New Benchmark for Targeted Sentiment Analysis. - Ajay Singh, Trevor Brown, Ali José Mashtizadeh:
NBR: Neutralization Based Reclamation. - Viny Saajan Victor, Pramod Vadiraja, Jan-Tobias Sohns, Heike Leitte:
Visual Probing and Correction of Object Recognition Models with Interactive user feedback. - Rhinithaa P. Thanalakshme, Ali Kanj, JunHwan Kim, Elias Wilken-Resman, Jiheng Jing, Inbar H. Grinberg, Jennifer T. Bernhard, Sameh Tawfick, Gaurav Bahl:
Magneto-Mechanical Transmitters for Ultra-Low Frequency Near-field Communication. - Björn W. Schuller, Harry Coppock, Alexander Gaskell:
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks. - Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Chen Wang:
Misplaced Subsequences Repairing with Application to Multivariate Industrial Time Series Data. - Wei Tao, Wei Li, Zhisong Pan, Qing Tao:
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. - Hongwei Shi, Shengling Wang, Qin Hu, Xiuzhen Cheng, Jianhui Huang:
Cap the Gap: Solving the Egoistic Dilemma under the Transaction Fee-Incentive Bitcoin. - Mario Palasciano:
Autocratic Strategies of Multi-State Games. - Qi Zhao, Shuchang Lyu, Yuewen Li, Yujing Ma, Lijiang Chen:
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification. - Anatoly Sidorov, Maria Shishanina:
Formal Statement of the Decision-making Support Problem in the Management of Municipal Social and Economic Development. - Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis. - Dake Zheng, Xinyu Wu, Jianxin Pang:
Dynamical Systems based Obstacle Avoidance with Workspace Constraint for Manipulators. - Dake Zheng, Xinyu Wu, Jianxin Pang:
Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators. - Jin Gyu Lee, Stephan Trenn, Hyungbo Shim:
Synchronization with prescribed transient behavior: Heterogeneous multi-agent systems under funnel coupling. - Mehdi Mashayekhi, Nirav S. Ajmeri, George F. List, Munindar P. Singh:
Prosocial Norm Emergence in Multiagent Systems. - Tom Baumeister, Bernd Finkbeiner, Hazem Torfah:
Explainable Reactive Synthesis. - Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. - Bernd Finkbeiner, Lennart Haas, Hazem Torfah:
Canonical Representations of k-Safety Hyperproperties. - Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin:
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. - Rayna Dimitrova, Bernd Finkbeiner, Hazem Torfah:
Approximate Automata for Omega-Regular Languages. - Rayna Dimitrova, Bernd Finkbeiner, Hazem Torfah:
Synthesizing Approximate Implementations for Unrealizable Specifications. - Zhengxin Li, Feiping Nie, Jintang Bian, Xuelong Li:
Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection. - Shuyuan Lin, Xing Wang, Guobao Xiao, Yan Yan, Hanzi Wang:
Hierarchical Representation via Message Propagation for Robust Model Fitting. - Miki E. Verma, Michael D. Iannacone, Robert A. Bridges, Samuel C. Hollifield, Bill Kay, Frank L. Combs:
ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide). - Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen:
Emergent Symbols through Binding in External Memory. - Oleg V. Vasilyev, John Bohannon:
Is human scoring the best criteria for summary evaluation? - Jinho Choi:
Performance Analysis of 2-Step Random Access with CDMA in Machine-Type Communication. - Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. - Yuchen Sun, Dongchun Ren, Shiqi Lian, Mingyu Fan, Xiangyi Teng:
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning. - Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge:
FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation. - Mo Zhang, Quanzheng Li:
MS-GWNN: multi-scale graph wavelet neural network for breast cancer diagnosis. - Shahar Dobzinski, Shiri Ron:
The Communication Complexity of Payment Computation. - Todd Goodall, Alan C. Bovik:
The VIP Gallery for Video Processing Education. - Daniel Stanley Tan, Yi-Chun Chen, Trista Pei-Chun Chen, Wei-Chao Chen:
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions. - Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin:
Multi-task Learning based Pre-trained Language Model for Code Completion. - Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, N. V. Vinodchandran:
Testing Product Distributions: A Closer Look. - Chia-Chi Li, Vikram K. Ramanna, Daniel Webber, Cole Hunter, Tyler Hack, Behnam Dezfouli:
Sensifi: A Wireless Sensing System for Ultra-High-Rate Applications. - Shivang Agarwal, Ajita Rattani, C. Ravindranath Chowdary:
AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection. - Ethan Jensen, R. Corban Harwood:
Eigenvector decomposition to determine the existence, shape, and location of numerical oscillations in Parabolic PDEs. - Le Qi, Yu Zhang, Qingyu Yin, Ting Liu:
Multiple Structural Priors Guided Self Attention Network for Language Understanding. - Yangming Li, Kaisheng Yao:
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. - Eungchang Mason Lee, Duckyu Choi, Hyun Myung:
Peacock Exploration: A Lightweight Exploration for UAV using Control-Efficient Trajectory. - Yu Yang, Utkarsha Agwan, Guoqiang Hu, Costas J. Spanos:
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage. - Yi-Chia Wang, Alexandros Papangelis, Runze Wang, Zhaleh Feizollahi, Gökhan Tür, Robert E. Kraut:
Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents. - Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. - Abhishek Singh, Shekhar Verma:
Parzen Window Approximation on Riemannian Manifold. - Federico Costantini, Fausto Galvan, Marco Alvise de Stefani, Sebastiano Battiato:
Assessing Information Quality in IoT Forensics: Theoretical Framework and Model Implementation. - Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. - Rajesh Siraskar:
Reinforcement Learning for Control of Valves. - Gersende Fort, P. Gach, Eric Moulines:
Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence. - Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao, Jia Wei, Si Xi, Wenyuan Xu, Weidong Zhang, Xiaoxin Lv, Dengpan Fu, Qing Li, Baoying Chen, Haojie Guo, Taolue Xue, Haipeng Jing, Zhiheng Wang, Tianming Zhang, Mingwen Zhang:
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge. - Pierre Bertrand, Michel Broniatowski, Jean-François Marcotorchino:
Logical indetermination coupling: a method to minimize drawing matches and its applications. - Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang:
Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy. - Hyojung Han, Sathish Reddy Indurthi, Mohd Abbas Zaidi, Nikhil Kumar Lakumarapu, Beomseok Lee, Sangha Kim, Chanwoo Kim, Inchul Hwang:
Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation. - Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Accelerating Pre-trained Language Models via Calibrated Cascade. - Aniruddha Kushwaha, Sidharth Sharma, Ashwin Gumaste:
A Survey on Segment Routing with Emphasis on Use Cases in Large Provider Networks. - Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. - Yuan Zheng, Suzhi Bi, Ying-Jun Angela Zhang, Xiaohui Lin, Hui Wang:
Joint Beamforming and Power Control for Throughput Maximization in IRS-assisted MISO WPCNs. - Sangwoong Yoon, Woo-Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim:
Image-to-Image Retrieval by Learning Similarity between Scene Graphs. - Maseim Kenmoe, Ronald Kriemann, Matteo Smerlak, Anton S. Zadorin:
A fast iterative algorithm for near-diagonal eigenvalue problems. - Kailiang Lu:
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images. - Hongqiu Wu, Hai Zhao, Min Zhang:
SIT3: Code Summarization with Structure-Induced Transformer. - Mohan Liyanage, Farooq Dar, Rajesh Sharma, Huber Flores:
Edge Computing Enabled by Unmanned Autonomous Vehicles. - Mikel Cortes-Goicoechea, Luca Franceschini, Leonardo Bautista-Gomez:
Resource Analysis of Ethereum 2.0 Clients. - Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong:
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning. - Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
AttrE2vec: Unsupervised Attributed Edge Representation Learning. - Mikel Cortes-Goicoechea, Leonardo Bautista-Gomez:
Armiarma: Ethereum2 Network Monitoring Tool. - Lue Tao, Songcan Chen:
With False Friends Like These, Who Can Have Self-Knowledge? - Yu Rong, Ziwei Liu, Chen Change Loy:
Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory. - Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou:
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding. - Ziniu Wu, Amir Shaikhha:
BayesCard: A Unified Bayesian Framework for Cardinality Estimation. - Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric:
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs. - Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, Yan Wang:
Dialogue Response Selection with Hierarchical Curriculum Learning. - Ioannis Vardas, Manolis Ploumidis, Manolis Marazakis:
Improving the Performance and Resilience of MPI Parallel Jobs with Topology and Fault-Aware Process Placement. - Veeru Talreja, Matthew C. Valenti, Nasser M. Nasrabadi:
Deep Hashing for Secure Multimodal Biometrics. - Imad Rida:
Data-driven audio recognition: a supervised dictionary approach. - Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus, Reinhard Pichler:
The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions. - (Withdrawn) CMV-BERT: Contrastive multi-vocab pretraining of BERT.
- Stefan Schubert, Peer Neubert, Peter Protzel:
Graph-based non-linear least squares optimization for visual place recognition in changing environments. - Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu:
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. - Linyang Li, Yunfan Shao, Demin Song, Xipeng Qiu, Xuanjing Huang:
Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces. - Lifang Deng, Jin Niu, Angulia Yang, Qidi Xu, Xiang Fu, Jiandong Zhang, Anxiang Zeng:
Hybrid Interest Modeling for Long-tailed Users. - Davide Illiano, Jakub Wiktor Both, Iuliu Sorin Pop, Florin Adrian Radu:
Efficient Solvers for Nonstandard Models for Flow and Transport in Unsaturated Porous Media. - Yumo Xu, Mirella Lapata:
Abstractive Query Focused Summarization with Query-Free Resources. - Sergio Gaete, Alejandro Jofré, Rodrigo Lecaros, Gino I. Montecinos, Jaime H. Ortega, Javier Ramírez-Ganga, Jorge San Martín:
A fast algorithm of the shear-compression damage model for the simulation of block caving. - Filippo Bonchi, Alessio Santamaria:
Combining Semilattices and Semimodules. - Jiangnan Li, Zheng Lin, Peng Fu, Qingyi Si, Weiping Wang:
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation. - Seyedmehdi Hosseinimotlagh:
Thermal Safety and Real-Time Predictability on Heterogeneous Embedded SoC Platforms. - Amir Abolfazli, Eirini Ntoutsi:
Drift-Aware Multi-Memory Model for Imbalanced Data Streams. - Thomas Amestoy, Wassim Hamidouche, Cyril Bergeron, Daniel Ménard:
Quality-Driven Dynamic VVC Frame Partitioning for Efficient Parallel Processing. - Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Jie Xu, Haiyi Chang:
A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization. - Anna Fariha, Lucy Cousins, Narges Mahyar, Alexandra Meliou:
Example-Driven User Intent Discovery: Empowering Users to Cross the SQL Barrier Through Query by Example. - Varvara Kalokyri, Alexander Borgida, Amélie Marian:
Supporting Human Memory by Reconstructing Personal Episodic Narratives from Digital Traces. - Hugo Ruiz, Marc Chaumont, Mehdi Yedroudj, Ahmed Oulad Amara, Frédéric Comby, Gérard Subsol:
Analysis of the Scalability of a Deep-Learning Network for Steganography "Into the Wild". - Siru Ouyang, Zhuosheng Zhang, Hai Zhao:
Dialogue Graph Modeling for Conversational Machine Reading. - Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu:
Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning. - Frank Mascarich, Kostas Alexis:
Visual-Thermal Camera Dataset Release and Multi-Modal Alignment without Calibration Information. - Lasha Abzianidze, Johan Bos, Stephan Oepen:
DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs. - Omer Lev, Neel Patel, Vignesh Viswanathan, Yair Zick:
The Price is (Probably) Right: Learning Market Equilibria from Samples. - Pengchang Chen, Vinayak Elangovan:
Object sorting using faster R-CNN. - Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park:
Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics. - Tal Lancewicki, Aviv Rosenberg, Yishay Mansour:
Learning Adversarial Markov Decision Processes with Delayed Feedback. - Sankaranarayanan Subramanian, Sergio Lucia, Radoslav Paulen, Sebastian Engell:
Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties. - David Alan de Oliveira Ferreira, Celso Barbosa Carvalho, Edjair de Souza Mota:
Localizacao em ambientes internos utilizando redes Wi-Fi. - Dilian Gurov, Valentin Goranko, Edvin Lundberg:
Knowledge-Based Strategies for Multi-Agent Teams Playing Against Nature. - Lasha Abzianidze, Rik van Noord, Chunliu Wang, Johan Bos:
The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages. - Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. - Jeff Yan:
Scams in modern societies: how does China differ from the world? - Aolin Xu, Maxim Raginsky:
Minimum Excess Risk in Bayesian Learning. - Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn:
Twin Neural Network Regression. - Daniel Gerth, Ronny Ramlau:
Estimating solution smoothness and data noise with Tikhonov regularization. - Jianghao Shen, Sicheng Wang, Zhangyang Wang:
Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity. - Saber Kazeminasab, Roozbeh Jafari, M. Katherine Banks:
An LQR-assisted Control Algorithm for an Under-actuated In-pipe Robot in Water Distribution Systems. - Dan Boneh, Elette Boyle, Henry Corrigan-Gibbs, Niv Gilboa, Yuval Ishai:
Lightweight Techniques for Private Heavy Hitters. - Tawfiq Salem, Scott Workman, Nathan Jacobs:
Learning a Dynamic Map of Visual Appearance. - Abhishek Das, Japsimar Singh Wahi, Siyao Li:
Detecting Hate Speech in Multi-modal Memes. - Aviad Rubinstein, Raghuvansh R. Saxena, Clayton Thomas, S. Matthew Weinberg, Junyao Zhao:
Exponential Communication Separations between Notions of Selfishness. - Daniel J. Perry, Vahid Keshavarzzadeh, Shireen Y. Elhabian, Robert M. Kirby, Michael Gleicher, Ross T. Whitaker:
Visualization of topology optimization designs with representative subset selection. - Louis Kirsch, Jürgen Schmidhuber:
Meta Learning Backpropagation And Improving It. - Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Decentralized Control with Graph Neural Networks. - Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy:
Transformer Feed-Forward Layers Are Key-Value Memories. - Mingda Chen, Sam Wiseman, Kevin Gimpel:
Generating Wikipedia Article Sections from Diverse Data Sources. - Tolunay Seyfi, Ahmed P. Mohamed, Aly El Gamal:
A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks. - Yunhan Huang, Quanyan Zhu:
Infinite-Horizon Linear-Quadratic-Gaussian Control with Costly Measurements. - Farnaz Fallahi, Murat Yildirim, Jeremy Lin, Caisheng Wang:
Predictive Multi-Microgrid Generation Maintenance: Formulation and Impact on Operations & Resilience. - Yu Liu, Abhinav Kumar Singh, Junbo Zhao, A. P. Meliopoulos, Bikash C. Pal, M. A. M. Ariff, Thierry Van Cutsem, Mevludin Glavic, Zhenyu Huang, Innocent Kamwa, Lamine Mili, Saleem Mir, Ahmad F. Taha, Vladimir V. Terzija, Shenglong Yu:
Dynamic State Estimation for Power System Control and Protection. - Hani Itani, Silvio Giancola, Ali K. Thabet, Bernard Ghanem:
SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation. - Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang:
Adaptive Extreme Edge Computing for Wearable Devices. - Lilas Alrahis, Satwik Patnaik, Johann Knechtel, Hani H. Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Ozgur Sinanoglu:
UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking. - Daniel Graves, Jun Jin, Jun Luo:
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning. - Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. - Yi Deng, Xiaoqian Jiang, Qi Long:
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. - Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
Generating Natural Language Attacks in a Hard Label Black Box Setting. - Hongjing Zhang, Ian Davidson:
Towards Fair Deep Anomaly Detection. - Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov:
Control Barriers in Bayesian Learning of System Dynamics. - Chang Song, Elias Fallon, Hai Helen Li:
Improving Adversarial Robustness in Weight-quantized Neural Networks. - Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré:
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. - Themis Melissaris, Kelly A. Shaw, Margaret Martonosi:
Optimizing IoT and Web Traffic Using Selective Edge Compression. - Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox:
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. - Zheng Chen, Erik G. Larsson:
Consensus-Based Distributed Computation of Link-Based Network Metrics. - Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. - Michael C. Brennan, Mark Embree, Serkan Gugercin:
Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach. - Elijah S. Lee, Daigo Shishika, Vijay Kumar:
Perimeter-defense Game between Aerial Defender and Ground Intruder. - Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi:
Elastic Net based Feature Ranking and Selection. - Sabrina J. Mielke, Arthur Szlam, Y-Lan Boureau, Emily Dinan:
Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness. - Taran Lynn, Dipak Ghosal:
TCP D*: A Low Latency First Congestion Control Algorithm. - Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin:
DeepSphere: a graph-based spherical CNN. - Spencer Compton, Slobodan Mitrovic, Ronitt Rubinfeld:
New Partitioning Techniques and Faster Algorithms for Approximate Interval Scheduling. - Zhijie Huang, Xiaopeng Guo, Mingyu Shang, Jie Gao, Jun Sun:
An Efficient QP Variable Convolutional Neural Network Based In-loop Filter for Intra Coding. - Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan:
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder. - Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi:
Dynamic Graph-Based Anomaly Detection in the Electrical Grid. - Kwangyik Jung, Yeeun Kim, Hyunjun Lim, Hyun Myung:
ALVIO: Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments. - Yuxian Meng, Shuhe Wang, Qinghong Han, Xiaofei Sun, Fei Wu, Rui Yan, Jiwei Li:
OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts. - Stephan Schmidt, Melanie Gräßer, Hans Joachim Schmid:
A Shape Newton Scheme for Deforming Shells with Application to Capillary Bridges. - Chris Cundy, Stefano Ermon:
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. - Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, Sam Kwong:
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network. - Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. - Priyankit Acharya, Aditya Kumar Pathak, Rakesh Chandra Balabantaray, Anil Kumar Singh:
Language Identification of Devanagari Poems. - Chuxiong Sun, Guoshi Wu:
Adaptive Graph Diffusion Networks with Hop-wise Attention. - Yuqing Zhu:
When Load Rebalancing Does Not Work for Distributed Hash Table. - Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu:
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection. - Zhiyuan Chen, Olugbenro O. Selere, Nicholas Lu Chee Seng:
Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model. - Zhiyuan Chen, Dino Isa, Nik Ahmad Akram:
Unsupervised Real Time Prediction of Faults Using the Support Vector Machine. - Yichong Zhou:
Notes on Computational Graph and Jacobian Accumulation. - Minkyu Shin, Minkyung Kim, Jin Kim:
Measuring an adaptive change in human decision-making from AI: Application to evaluate changes after AlphaGo. - Victor Luo, Yazhen Wang, Glenn Fung:
SGD Distributional Dynamics of Three Layer Neural Networks. - Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. - Jaouhar Fattahi, Mohamed Mejri:
Damaged Fingerprint Recognition by Convolutional Long Short-Term Memory Networks for Forensic Purposes. - Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformer. - Rajeev Kumar Singh, Rohan Gorantla, Sai Giridhar Allada, Narra Pratap:
SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability. - Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel, M. Manzur Murshed, Guojun Lu:
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning. - Debarsho Sannyasi:
Improved Approximation Algorithms for Weighted Edge Coloring of Graphs. - Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of Localised Models for Time Series Forecasting. - Junru Li, Meng Wang, Li Zhang, Shiqi Wang, Kai Zhang, Shanshe Wang, Siwei Ma, Wen Gao:
Sub-sampled Cross-component Prediction for Emerging Video Coding Standards. - Rongzhou Bao, Jiayi Wang, Zhuosheng Zhang, Hai Zhao:
Enhancing Pre-trained Language Model with Lexical Simplification. - Peixuan Li, Shun Su, Huaici Zhao:
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving. - Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer:
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA. - Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren:
A Subword Guided Neural Word Segmentation Model for Sindhi. - Yuri Gil Dantas, Vivek Nigam, Harald Ruess:
Security Engineering for ISO 21434. - Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen:
Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning. - Ying Jin, Zhuoran Yang, Zhaoran Wang:
Is Pessimism Provably Efficient for Offline RL? - Zhuosheng Zhang, Haojie Yu, Hai Zhao, Rui Wang, Masao Utiyama:
Accurate Word Representations with Universal Visual Guidance. - Jürg Kohlas, Jürg Schmid:
Commutative Information Algebras: Representation and Duality Theory. - Xiangliang Kong, Xin Wang, Gennian Ge:
New Constructions of Optimal Locally Repairable Codes with Super-Linear Length. - Polina Ovsiannikova, Igor Buzhinsky, Antti Pakonen, Valeriy Vyatkin:
Visual counterexample explanation for model checking with Oeritte. - Giorgio Visani, Federico Chesani, Enrico Bagli, Davide Capuzzo, Alessandro Poluzzi:
Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes. - Mario Geiger, Leonardo Petrini, Matthieu Wyart:
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training. - Juhi Kulshrestha, Marcos Oliveira, Orkut Karaçalik, Denis Bonnay, Claudia Wagner:
Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data. - Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih, Sebastian Riedel:
Joint Verification and Reranking for Open Fact Checking Over Tables. - William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro:
Stack-based Buffer Overflow Detection using Recurrent Neural Networks. - Yongri Piao, Zhengkun Rong, Shuang Xu, Miao Zhang, Huchuan Lu:
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection. - Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li:
Improving Zero-Shot Translation by Disentangling Positional Information. - Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang:
PrivSyn: Differentially Private Data Synthesis. - Min Wang, Qiumei Huang, Cheng Wang:
A second order accurate scalar auxiliary variable (SAV) numerical method for the square phase field crystal equation. - Guang-Jing Song, Weiyang Ding, Michael K. Ng:
Low Rank Pure Quaternion Approximation for Pure Quaternion Matrices. - Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao:
Improving BERT with Syntax-aware Local Attention. - Andrew Collins, Laura Tierney, Joeran Beel:
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering. - Muhammad Danish Roshaidie, William Pang Han Liang, Calvin Goh Kai Jun, Kok Hong Yew, Fatima-tuz-Zahra:
Importance of Secure Software Development Processes and Tools for Developers. - Olle Abrahamsson, Danyo Danev, Erik G. Larsson:
On the Impact of Random Actions on Opinion Dynamics. - Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave:
A Memory Efficient Baseline for Open Domain Question Answering. - Yuewen Li, Wenquan Feng, Shuchang Lyu, Qi Zhao, Xuliang Li:
MM-FSOD: Meta and metric integrated few-shot object detection. - Zheng Wang, Muhua Guan, Jin Lan, Bo Yang, Tsutomu Kaizuka, Junichi Taki, Kimihiko Nakano:
Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving. - Jianzhu Huai, Yukai Lin, Charles K. Toth, Yuan Zhuang, Dong Chen:
A Versatile Keyframe-Based Structureless Filter for Visual Inertial Odometry. - Zhengxiong Luo, Zhicheng Wang, Yan Huang, Tieniu Tan, Erjin Zhou:
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation. - Alexander Tereshin, Alexander A. Pasko, Oleg Fryazinov, Valery Adzhiev:
Hybrid Function Representation for Heterogeneous Objects. - Asrul Sani Ariesandy, Mukhlis Amien, Alham Fikri Aji, Radityo Eko Prasojo:
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation. - Thang M. Pham, Trung Bui, Long Mai, Anh Nguyen:
Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks? - Krishna Kanth Nakka, Mathieu Salzmann:
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers. - José Andrés González López, Miriam Gonzalez-Atienza, Alejandro Gómez Alanís, José Luis Pérez-Córdoba, Phil D. Green:
Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis. - Thanasis Vergoulis, Ilias Kanellos, Giorgos Giannopoulos, Theodore Dalamagas:
Simplifying Impact Prediction for Scientific Articles. - Dabeen Lee, Milan Vojnovic, Se-Young Yun:
Test Score Algorithms for Budgeted Stochastic Utility Maximization. - Mukesh Gautam, Narayan Bhusal, Mohammed Benidris, Poria Fajri:
A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking. - Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang:
SemGloVe: Semantic Co-occurrences for GloVe from BERT. - Sangho Yeo, Minho Bae, Minjoong Jeong, Oh-Kyoung Kwon, Sangyoon Oh:
Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability. - Claudia Flores-Saviaga, Yuwen Li, Benjamin V. Hanrahan, Jeffrey P. Bigham, Saiph Savage:
The Challenges of Crowd Workers in Rural and Urban America. - Tomasz Limisiewicz, David Marecek:
Introducing Orthogonal Constraint in Structural Probes. - Nada Aldarrab, Jonathan May:
Can Sequence-to-Sequence Models Crack Substitution Ciphers? - Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna:
A Novel Resampling Technique for Imbalanced Dataset Optimization. - Theodor Cimpeanu, Francisco C. Santos, Luís Moniz Pereira, Tom Lenaerts, The Anh Han:
AI Development Race Can Be Mediated on Heterogeneous Networks. - Saber Kazeminasab, Ali Akbari, Roozbeh Jafari, M. Katherine Banks:
Design, Characterization, and Control of a Size Adaptable In-pipe Robot for Water Distribution Systems. - Martin Mariusz Lester:
Analysis of MiniJava Programs via Translation to ML. - Hongming Zhang, Haoyu Wang, Dan Roth:
Unsupervised Label-aware Event Trigger and Argument Classification. - Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris:
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. - Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Weiran Nie, Hongyan Li, Cheng Li, Wei Peng, Minlie Huang:
Robustness Testing of Language Understanding in Dialog Systems. - William Dyer, Richard Futrell, Zoey Liu, Gregory Scontras:
Predicting cross-linguistic adjective order with information gain. - Hannah Bast, Patrick Brosi, Markus Näther:
Similarity Classification of Public Transit Stations. - Shri Prakash Dwivedi:
Some Algorithms on Exact, Approximate and Error-Tolerant Graph Matching. - Rujun Han, Xiang Ren, Nanyun Peng:
DEER: A Data Efficient Language Model for Event Temporal Reasoning. - Martin Lester:
What can a 1980s BASIC programming textbook teach us today? - Lorenzo Clemente, Slawomir Lasota:
Reachability relations of timed pushdown automata. - Yuankun Fu, Fengguang Song:
SDN helps Big Data to optimize access to data. - Nithin Raveendran, Bane Vasic:
Trapping Sets of Quantum LDPC Codes. - Yubo Qin, Ivan Rodero, Anthony Simonet, Charles Meertens, Daniel Reiner, James Riley, Manish Parashar:
Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories. - Raphael Schumann, Stefan Riezler:
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. - Ozan Irsoy, Adrian Benton, Karl Stratos:
kōan: A Corrected CBOW Implementation. - Patrick Franz, Thorsten Berger, Ibrahim Fayaz, Sarah Nadi, Evgeny Groshev:
ConfigFix: Interactive Configuration Conflict Resolution for the Linux Kernel. - Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sébastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren:
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. - Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela:
DynaSent: A Dynamic Benchmark for Sentiment Analysis. - Mohsen Toorani, Christian Gehrmann:
A Decentralized Dynamic PKI based on Blockchain. - Jacob Turton, David P. Vinson, Robert Elliott Smith:
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings. - Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. - Ashkan Yousefi Zadeh, Meysam Shahbazy:
A Review into Data Science and Its Approaches in Mechanical Engineering. - Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. - Martin Mariusz Lester:
Solving Interactive Fiction Games via Partial Evaluation and Bounded Model Checking. - Baris Gecer, Jiankang Deng, Stefanos Zafeiriou:
OSTeC: One-Shot Texture Completion. - Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine:
Model-Based Visual Planning with Self-Supervised Functional Distances. - Weiyan Shi, Yu Li, Saurav Sahay, Zhou Yu:
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration. - Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Stefan Roos, Simon T. Isele, Jakob Ketterer, Leopold Müller, Sascha Saralajew:
Provident Vehicle Detection at Night: The PVDN Dataset. - Arnob Ghosh, Vaneet Aggarwal:
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents. - Emad Barsoum, John R. Kender, Zicheng Liu:
3D Human motion anticipation and classification. - Sergio Cabello:
Faster Distance-Based Representative Skyline and $k$-Center Along Pareto Front in the Plane. - David H. Lorenz, Boaz Rosenan:
Managed Information: A New Abstraction Mechanism for Handling Information in Software-as-a-Service. - Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang:
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. - (Withdrawn) Indoor Air Quality Improvement.
- Shen Chen, Mingwei Zhang, Jiamin Cui, Wei Yao:
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective. - Haibo Wang, Zaichen Zhang, Bingcheng Zhu, Jian Dang, Liang Wu:
Two New Approaches to Optical IRSs: Schemes and Comparative Analysis. - Yang Zhang, Liqun Deng, Yasheng Wang:
Unified Mandarin TTS Front-end Based on Distilled BERT Model. - Guangming Shi, Yong Xiao, Yingyu Li, Xuemei Xie:
From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems. - Diana Kirk, Stephen G. MacDonell, Ewan D. Tempero:
Consolidating a Model for Describing Situated Software Practices. - Md. Hishamur Rahman, Shakil Mohammad Rifaat, Soumik Nafis Sadeek, Masnun Abrar, Dongjie Wang:
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System. - Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang:
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. - José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Pérez Palomar:
Algorithms for Learning Graphs in Financial Markets. - Damian Pascual, Beni Egressy, Florian Bolli, Roger Wattenhofer:
Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation. - Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Koçak:
An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain. - Amir Hossein Afsharinejad, Chuanyi Ji, Robert Wilcox:
Heterogeneous recovery from large scale power failures. - Olga Majewska, Ivan Vulic, Goran Glavas, Edoardo Maria Ponti, Anna Korhonen:
Verb Knowledge Injection for Multilingual Event Processing. - Shivam Handa, Konstantinos Kallas, Nikos Vasilakis, Martin C. Rinard:
An Order-aware Dataflow Model for Extracting Shell Script Parallelism. - Huy Quoc Le, Dung Hoang Duong, Partha Sarathi Roy, Willy Susilo, Kazuhide Fukushima, Shinsaku Kiyomoto:
Lattice-based Signcryption with Equality Test in Standard Model. - Guy Lapalme:
The jsRealB Text Realizer: Organization and Use Cases. - Hui Feng, Jundong Guo, Shuzhi Sam Ge:
SharpGAN: Receptive Field Block Net for Dynamic Scene Deblurring. - Guozhi Dong, Hailong Guo, Zuoqiang Shi:
Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud. - Tara Boroushaki, Junshan Leng, Ian Clester, Alberto Rodriguez, Fadel Adib:
Robotic Grasping of Fully-Occluded Objects using RF Perception. - Jacob Nelson, Ahmed Hassan, Roberto Palmieri:
Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries. - Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell:
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation. - Erfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo, Sarit Kraus, Lu Feng:
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data. - Nikos Vasilakis, Jiasi Shen, Martin C. Rinard:
Automatic Synthesis of Parallel and Distributed Unix Commands with KumQuat. - Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji:
Explainability in Graph Neural Networks: A Taxonomic Survey. - Milad Soleimani, Mladen Kezunovic:
Economic Evaluation of Transformer Loss of Life Mitigation by Energy Storage and PV Generation. - Wei-Ning Hsu, David Harwath, Christopher Song, James R. Glass:
Text-Free Image-to-Speech Synthesis Using Learned Segmental Units. - Alham Fikri Aji, Kenneth Heafield:
Exploring Monolingual Data for Neural Machine Translation with Knowledge Distillation. - Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo:
TransTrack: Multiple-Object Tracking with Transformer. - Dan Lin, Jiajing Wu, Qi Yuan, Zibin Zheng:
Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach. - Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu:
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks. - Hirohisa Watanabe, Hiroki Matsutani:
Accelerating ODE-Based Neural Networks on Low-Cost FPGAs. - Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma:
CLEAR: Contrastive Learning for Sentence Representation. - Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. - Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. - Eero Siivola, Javier González, Andrei Paleyes, Aki Vehtari:
Good practices for Bayesian Optimization of high dimensional structured spaces. - Yoav Alon, Huiyu Zhou:
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization. - Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg:
Likelihood Ratio Exponential Families. - Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer:
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. - Horia Mania, Suvrit Sra:
Why do classifier accuracies show linear trends under distribution shift? - Kiran Ramnath, Mark Hasegawa-Johnson:
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings. - Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu:
Multiple Plans are Better than One: Diverse Stochastic Planning. - Yeting Li, Shuaimin Li, Zhiwu Xu, Jialun Cao, Zixuan Chen, Yun Hu, Haiming Chen, Shing-Chi Cheung:
TransRegex: Multi-modal Regular Expression Synthesis by Generate-and-Repair. - Rahman Salim Zengin, Volkan Sezer:
Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations. - Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh:
Towards Zero-Shot Knowledge Distillation for Natural Language Processing. - Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. - Chien-Ming Lin, Yu-Min Hsu, Yen-Huan Li:
An Online Algorithm for Maximum-Likelihood Quantum State Tomography. - Lianli Gao, Qilong Zhang, Jingkuan Song, Heng Tao Shen:
Patch-wise++ Perturbation for Adversarial Targeted Attacks. - Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul A. Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Zhiguang Wang:
Continual Learning in Task-Oriented Dialogue Systems. - Anthony D. Blaom, Sebastian J. Vollmer:
Flexible model composition in machine learning and its implementation in MLJ. - Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen:
Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup. - Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu:
Neural Machine Translation: A Review of Methods, Resources, and Tools. - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding. - Serhad Sarica, Jianxi Luo:
Design Knowledge Representation with Technology Semantic Network. - Milad Malekzadeh, Ioannis Papamichail, Markos Papageorgiou:
Linear-Quadratic regulators for internal boundary control of lane-free automated vehicle traffic. - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraGPT2: Pre-Trained Transformer for Arabic Language Generation. - Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li:
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction. - Xinying Song, Alex Salcianu, Yang Song, Dave Dopson, Denny Zhou:
Linear-Time WordPiece Tokenization. - Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. - Ofir T. Erlich, David H. Lorenz:
Optimal Software Architecture From Initial Requirements: An End-to-End Approach. - Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. - Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. - Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Discovering Dialog Structure Graph for Open-Domain Dialog Generation. - Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Deep Graph Generators: A Survey. - (Withdrawn) Vehicular Network Slicing for Reliable Access and Deadline-Constrained Data Offloading: A Multi-Agent On-Device Learning Approach.
- Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei:
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders. - George Stamatakis, Nikolaos Pappas, Alexandros G. Fragkiadakis, Apostolos Traganitis:
Autonomous Maintenance in IoT Networks via AoI-driven Deep Reinforcement Learning. - Ruben Miranda, Esther García-Carpintero:
Bibliometric analysis of world scientific production in Chemical Engineering during 2000-2011. Part 1: Analysis of total scientific production. - Ruben Miranda, Esther García-Carpintero:
Bibliometric analysis of the world scientific production in Chemical Engineering during 2000-2011. Part 2: Analysis of the 1, 000 most cited publications. - Ruben Miranda, Esther García-Carpintero:
Bibliometric analysis of the world scientific production in Chemical Engineering during 2000-2011. Part 3: Analysis of research trends and hot topics. - Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts. - Sriram Krishna, Siddarth Vinay, Srinivas K. S:
Searching a Raw Video Database using Natural Language Queries. - Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood:
Robust Asymmetric Learning in POMDPs. - Alexandr Savinov:
On the importance of functions in data modeling. - Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych:
Coreference Reasoning in Machine Reading Comprehension. - Ziwen Xu, Beiji Zou, Qing Liu:
A Deep Retinal Image Quality Assessment Network with Salient Structure Priors. - Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Bryn Noel Ubald, Andrew B. Duncan, Geoffrey T. Parks:
Blade Envelopes Part II: Multiple Objectives and Inverse Design. - Robert L. Gates, Maximilian Bittens:
An hp-hierarchical framework for the finite element exterior calculus. - Riccardo Puppi:
Isogeometric discretizations of the Stokes problem on trimmed geometries. - Yuko Kuroki, Junya Honda, Masashi Sugiyama:
Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation. - Jaâfar Moussaid:
Autocalibration Subsystem for Cable-Driven Parallel Robots. - Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu, Ye Yin, Hongli Chang:
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. - Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler:
Extracting Clean Performance Models from Tainted Programs. - Enoch Peserico, Michele Scquizzato:
Matching on the line admits no $o(\sqrt{\log n})$-competitive algorithm. - Christian Riegger, Arthur Bernhardt, Bernhard Moessner, Ilia Petrov:
bloomRF: On Performing Range-Queries with Bloom-Filters based on Piecewise-Monotone Hash Functions and Dyadic Trace-Trees. - Paul Röttger, Bertram Vidgen, Dong Nguyen, Zeerak Waseem, Helen Z. Margetts, Janet B. Pierrehumbert:
HateCheck: Functional Tests for Hate Speech Detection Models. - Phillip Rust, Jonas Pfeiffer, Ivan Vulic, Sebastian Ruder, Iryna Gurevych:
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models. - Samith Abeywickrama, Rui Zhang, Chau Yuen:
Refined Nonlinear Rectenna Modeling and Optimal Waveform Design for Multi-User Multi-Antenna Wireless Power Transfer. - Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen:
Quantitative Evaluations on Saliency Methods: An Experimental Study. - Ehud Cseresnyes, Hannes Seiwert:
Regular expression length via arithmetic formula complexity. - Won-Ik Cho, Sangwhan Moon, Youngsook Song:
Open Korean Corpora: A Practical Report. - Marco Mobilio, Oliviero Riganelli, Daniela Micucci, Leonardo Mariani:
FILO: FIx-LOcus Localization for Backward Incompatibilities Caused by Android Framework Upgrades. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Leveraging Audio Gestalt to Predict Media Memorability. - Matthew J. Groves, Jürgen Branke:
Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits. - Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He:
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds. - Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi:
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis. - Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O'Connor:
Investigating Memorability of Dynamic Media. - Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng:
CoCoLM: COmplex COmmonsense Enhanced Language Model. - Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton:
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable? - Daniele Boffi, Francesca Gardini, Lucia Gastaldi:
Virtual element approximation of eigenvalue problems. - Xiaoyang Zhang, Junmin Xiao, Guangming Tan:
I/O Lower Bounds for Auto-tuning of Convolutions in CNNs. - Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li:
VOLT: Improving Vocabularization via Optimal Transport for Machine Translation. - Xuan Ouyang, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora. - Sebastian Forster, Gramoz Goranci, Yang P. Liu, Richard Peng, Xiaorui Sun, Mingquan Ye:
Minor Sparsifiers and the Distributed Laplacian Paradigm. - Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool:
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. - Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Roi Reichart, Anna Korhonen, Hinrich Schütze:
A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines. - Eric Price, Yu Tang Liu, Michael J. Black, Aamir Ahmad:
Simulation and Control of Deformable Autonomous Airships in Turbulent Wind. - Haoyue Bai, S.-H. Gary Chan:
CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal. - Philipp Gesner, Frank Kirschbaum, Richard Jakobi, Bernard Bäker:
Robust Data-Driven Error Compensation for a Battery Model. - Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-DOC: The Retrospective Long-Document Modeling Transformer. - Meng Cao:
Quantum error-correcting codes from matrix-product codes related to quasi-orthogonal matrices and quasi-unitary matrices. - Zhengxia Zou, Tianyang Shi, Yi Yuan, Zhenwei Shi:
NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram. - Amir Mohammad Rostami, Ali Karimi, Mohammad Ali Akhaee:
EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting. - Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun:
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. - Victoria Manfredi, Alicia P. Wolfe, Bing Wang, Xiaolan Zhang:
Relational Deep Reinforcement Learning for Routing in Wireless Networks. - Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. - Thomas Neele, Antti Valmari, Tim A. C. Willemse:
A Detailed Account of The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction. - Peyman Passban, Puneeth S. M. Saladi, Qun Liu:
Revisiting Robust Neural Machine Translation: A Transformer Case Study. - Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li:
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. - Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas:
Kamino: Constraint-Aware Differentially Private Data Synthesis. - Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre:
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring. - Wenhao Zhu, Shujian Huang, Tong Pu, Xu Zhang, Jian Yu, Wei Chen, Yanfeng Wang, Jiajun Chen:
FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation. - Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami:
Coded Machine Unlearning. - Tianyu Gao, Adam Fisch, Danqi Chen:
Making Pre-trained Language Models Better Few-shot Learners. - Sai Munikoti, Laya Das, Balasubramaniam Natarajan:
Graph neural network based approximation of Node Resiliency in complex networks. - Iyad Batal, Akshay Soni:
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising. - Pradeep Fernando, Irina Calciu, Jayneel Gandhi, Aasheesh Kolli, Ada Gavrilovska:
Persistence and Synchronization: Friends or Foes? - Mengzhu Wang, Xiang Zhang, Long Lan, Wei Wang, Huibin Tan, Zhigang Luo:
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy. - Sai Munikoti, Balasubramaniam Natarajan:
Bayesian Inductive Learner for Graph Resiliency under uncertainty. - Xin Du, Weihong Cai, Jianquan Liu, Ding Yu, Kai Xu, Wei Li:
Basketball Player's Value Evaluation by a Networks-based Variant Parameter Hidden Markov Model. - Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. - Moshe Kravchik, Battista Biggio, Asaf Shabtai:
Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems. - Zhangyang Gao, Haitao Lin, Stan Z. Li:
LookHops: light multi-order convolution and pooling for graph classification. - Li Zheng, Siddhant Kumar, Dennis M. Kochmann:
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy. - Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. - Stefanos Tsimenidis:
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning. - Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh:
Am I Rare? An Intelligent Summarization Approach for Identifying Hidden Anomalies. - Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela:
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection. - Michael J. Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
Scaling Replicated State Machines with Compartmentalization [Technical Report]. - Joshua Peeples, Sarah Walker, Connor H. McCurley, Alina Zare, James Keller:
Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification. - Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang:
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout. - Katarzyna Paluch, Mateusz Wasylkiewicz:
A simple combinatorial algorithm for restricted 2-matchings in subcubic graphs - via half-edges. - Egor I. Ershov, Alexey Savchik, Illya Semenkov, Nikola Banic, Karlo Koscevic, Marko Subasic, Alexander Belokopytov, Zhihao Li, Arseniy P. Terekhin, Daria Senshina, Artem Nikonorov, Yanlin Qian, Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, Sven Loncaric, Dmitry P. Nikolaev:
Illumination Estimation Challenge: experience of past two years. - Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. - Saeed Khorram, Tyler Lawson, Fuxin Li:
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations. - Rajkumar Pujari, Dan Goldwasser:
Understanding Politics via Contextualized Discourse Processing. - Shih-Ting Lin, Nathanael Chambers, Greg Durrett:
Conditional Generation of Temporally-ordered Event Sequences. - James Thorne, Andreas Vlachos:
Factual Error Correction of Claims. - Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart:
Partially Observable Mean Field Reinforcement Learning. - Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. - Jiahui Chen, Wensheng Gan, Muchuang Hu, Chien-Ming Chen:
On the Construction of a Post-Quantum Blockchain for Smart City. - (Withdrawn) A stable majority population protocol using logarithmic time and states.
- Ilias Diakonikolas, Daniel M. Kane:
The Sample Complexity of Robust Covariance Testing. - Omri Abend, Nathan Schneider, Dotan Dvir, Jakob Prange, Ari Rappoport:
UCCA's Foundational Layer: Annotation Guidelines v2.1. - Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu:
Language-Mediated, Object-Centric Representation Learning. - Brett Thomas Lopez, Jean-Jacques E. Slotine:
Universal Adaptive Control for Uncertain Nonlinear Systems. - Luca Oneto, Silvia Chiappa:
Fairness in Machine Learning. - Mehdi Bahri, Gaétan Bahl, Stefanos Zafeiriou:
Binary Graph Neural Networks. - Shang-Wen Li:
Improving Learning Experience in MOOCs with Educational Content Linking. - Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves, Alexandre Dias, Juliana Batistoti, Maurício de Souza, Felipe David Georges Gomes, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Veraldo Liesenberg, Jonathan Li, Lingfei Ma, José Marcato Junior, Wesley Nunes Gonçalves:
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery. - Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei:
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. - Aolin Xu:
Continuity of Generalized Entropy and Statistical Learning. - Baturalp Buyukates, Sennur Ulukus:
Timely Communication in Federated Learning. - Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. - Jiatao Gu, Xiang Kong:
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. - Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev:
Topological obstructions in neural networks learning. - Robert B. Allen:
Semantic Modeling with SUMO. - Rajkumar Pujari, Dan Goldwasser:
Using Natural Language Relations between Answer Choices for Machine Comprehension. - Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou:
Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans. - Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang:
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers. - Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava:
A Constant-time Adaptive Negative Sampling. - Amogh Gudi, Marian Bittner, Jan van Gemert:
Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation. - Anna Jaskulska, Kinga Skorupska, Barbara Karpowicz, Cezary Biele, Jaroslaw Kowalski, Wieslaw Kopec:
Exploration of Voice User Interfaces for Older Adults - A Pilot Study to Address Progressive Vision Loss. - Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
Studying Strategically: Learning to Mask for Closed-book QA. - Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, Mugdha Pandya, Adam Lopez:
Intrinsic Bias Metrics Do Not Correlate with Application Bias. - Ryan E. Langendorf, Matthew G. Burgess:
Empirically Classifying Network Mechanisms. - Ayaan Haque:
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs. - Lingjing Jiang, Niina Haiminen, Anna Paola Carrieri, Shi Huang, Yoshiki Vazquez-Baeza, Laxmi Parida, Ho-Cheol Kim, Austin D. Swafford, Rob Knight, Loki Natarajan:
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data. - Denis S. Krotov:
On minimal subspace Zp-null designs. - Denis S. Krotov:
[[2, 10], [6, 6]]-equitable partitions of the 12-cube. - Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman:
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. - Mona Ezzadeen, D. Bosch, Bastien Giraud, Sylvain Barraud, Jean-Philippe Noël, Didier Lattard, Joris Lacord, Jean-Michel Portal, François Andrieu:
Ultra-High-density 3D vertical RRAM with stacked JunctionLess nanowires for In-Memory-Computing applications. - Srinivas Parthasarathy, Shiva Sundaram:
Detecting expressions with multimodal transformers. - Ehsan Samani, Hamed Mohsenian Rad:
A Data-Driven Study to Discover, Characterize, and Classify Convergence Bidding Strategies in California ISO Energy Market. - Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou:
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. - Barbara I. Mahler:
Contagion Dynamics for Manifold Learning. - Lagnajit Pattanaik, Octavian-Eugen Ganea, Ian Coley, Klavs F. Jensen, William H. Green Jr., Connor W. Coley:
Message Passing Networks for Molecules with Tetrahedral Chirality. - Abhinav Anand, Matthias Degroote, Alán Aspuru-Guzik:
Natural Evolutionary Strategies for Variational Quantum Computation. - Hui Wei:
A Neural Dynamic Model based on Activation Diffusion and a Micro-Explanation for Cognitive Operations. - Jeffrey Chan, Andrew C. Miller, Emily B. Fox:
Representing and Denoising Wearable ECG Recordings. - Michail Tsagris:
The FEDHC Bayesian network learning algorithm. - Justine Falque:
A Bijection Between Weighted Dyck Paths and 1234-avoiding Up-Down Permutations. - Davis Gilton, Gregory Ongie, Rebecca Willett:
Model Adaptation for Inverse Problems in Imaging. - Raghav Kansal, Javier M. Duarte, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopoulos:
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics. - Alexander Soen, Hisham Husain, Richard Nock:
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. - Dongkai Li, Li Wang, Yuying Liu:
A relaxation accelerated two-sweep modulus-based matrix splitting iteration method for solving linear complementarity problems. - Roel Van Beeumen, Khaled Z. Ibrahim, Gregory D. Kahanamoku-Meyer, Norman Y. Yao, Chao Yang:
Enhancing Scalability of a Matrix-Free Eigensolver for Studying Many-Body Localization. - Célia Borlido, Brett McLean:
Difference-restriction algebras of partial functions with operators: discrete duality and completion. - Jalal Arabneydi, Mohammad M. Baharloo, Amir G. Aghdam:
Optimal Distributed Control for Leader-Follower Networks: A Scalable Design. - Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems. - Abhimanyu Kumar, Om Prakash Pandey:
Reconsideration of feasibility of Hall amplifier. - Weicheng Cai, Ming Li:
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data. - Zihuan Liu, Tapabrata Maiti, Andrew R. Bender:
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease. - Roberto Longo, Gerardo Morsella:
The massive modular Hamiltonian. - Juan Vidal Alegría, Fredrik Rusek, Ove Edfors:
Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition. - Johann Baumeister, Antonio Leitão:
Optimal exploitation of renewable resource stocks: Necessary conditions. - Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel:
Overcoming the limitations of patch-based learning to detect cancer in whole slide images. - Stefano Della Fiore, Simone Costa, Marco Dalai:
Further strengthening of upper bounds for perfect k-Hashing. - Zixuan Wang, Shanjian Tang:
Convergence of Gradient Algorithms for Nonconvex C1+α Cost Functions. - Maren Hackenberg, Philipp Harms, Thorsten Schmidt, Harald Binder:
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? - Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu:
Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey. - Sayantan Bhadra, Varun A. Kelkar, Frank J. Brooks, Mark A. Anastasio:
On hallucinations in tomographic image reconstruction. - Yuning You, Yang Shen:
Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction. - Sella Nevo, Gal Elidan, Avinatan Hassidim, Guy Shalev, Oren Gilon, Grey Nearing, Yossi Matias:
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach. - Tananun Songdechakraiwut, Moo K. Chung:
Topological Learning for Brain Networks. - Dominic J. Skinner, Romit Maulik:
Meta-modeling strategy for data-driven forecasting. - Montgomery Flora, Corey K. Potvin, Patrick S. Skinner, Shawn Handler, Amy McGovern:
Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System. - Dario Marvin, Lorenzo Nespoli, Davide Strepparava, Vasco Medici:
A data-driven approach to the forecasting of ground-level ozone concentration. - Farah Shahid, Aneela Zameer, Mudasser Afzal, Muhammad Hassan:
Short term solar energy prediction by machine learning algorithms. - Gábor Melis, András György, Phil Blunsom:
Mutual Information Constraints for Monte-Carlo Objectives. - Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu:
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection. - Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah:
Debiasing Evaluations That are Biased by Evaluations. - Alex Cole, Gregory J. Loges, Gary Shiu:
Interpretable Phase Detection and Classification with Persistent Homology. - Geoffrey Chinot, Matthias Löffler, Sara A. van de Geer:
Minimum 𝓁1-norm interpolation via basis pursuit is robust to errors. - Achraf Ben Miled, Taoufik Yeferny, Amira Ben Rabeh:
MRI Images Analysis Method for Early Stage Alzheimer's Disease Detection. - Céline Comte:
Stochastic Non-Bipartite Matching Models and Order-Independent Loss Queues. - Liliana Borcea, Vladimir Druskin, Jörn T. Zimmerling:
A reduced order model approach to inverse scattering in lossy layered media. - Lukas Kölsch, Björn Kriepke, Gohar M. Kyureghyan:
Image sets of perfectly nonlinear maps. - Calvin Brown, Artem Goncharov, Zachary S. Ballard, Mason Fordham, Ashley Clemens, Yunzhe Qiu, Yair Rivenson, Aydogan Ozcan:
Neural network-based on-chip spectroscopy using a scalable plasmonic encoder. - Margarita Belova, Matthew Bernard:
Asymptotic Shape of Quantum Markov Semigroups for Compact Uniform Trees. - Arvind Ramanathan, Heng Ma, Akash Parvatikar, S. Chakra Chennubhotla:
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins. - Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings:
Deploying deep learning in OpenFOAM with TensorFlow. - Shuxiao Chen, Sifan Liu, Zongming Ma:
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks. - Chaolun Lu, Yongqiang Li, Zijun Feng, Zhongsheng Hou, Yu Feng, Yuanjing Feng:
Interval-driven discrete-time general nonlinear robust control: stabilization with closed-loop robust DOA enlargement. - Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo:
Information Theory in Density Destructors. - Charles Poussot-Vassal, Pauline Kergus, Franck Kerhervé, Denis Sipp, Laurent Cordier:
Interpolatory-based data-driven pulsed fluidic actuator control design and experimental validation. - Giulia Cisotto, Alessio Zanga, Joanna Chlebus, Italo Zoppis, Sara Manzoni, Urszula Markowska-Kaczmar:
Comparison of Attention-based Deep Learning Models for EEG Classification. - Andrés Hoyos Idrobo:
Aligning Hyperbolic Representations: an Optimal Transport-based approach. - Nachiket Ayir, Taneli Riihonen, Markus Allén, Marcelo Fabián Trujillo Fierro:
Waveforms and End-to-End Efficiency in RF Wireless Power Transfer Using Digital Radio Transmitter. - Vadim V. Lozin, Igor Razgon:
Tree-width dichotomy. - Jay Roberts, Theodoros Tsiligkaridis:
Ultrasound Diagnosis of COVID-19: Robustness and Explainability. - Manuel Bodirsky, Johannes Greiner:
Tractable Combinations of Theories via Sampling. - Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz:
Channel Attention Networks for Robust MR Fingerprinting Matching. - Wesley Fussner:
Poset products as relational models. - Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien:
Attention-gating for improved radio galaxy classification. - Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt:
On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization. - Noel T. Anderson, Jay-U. Chung, Shelby Kimmel:
Leveraging Unknown Structure in Quantum Query Algorithms. - Korranat Naruenatthanaset, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Nantheera Anantrasirichai, Attakorn Palasuwan:
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset. - Sophie M. Fosson:
Binary input reconstruction for linear systems: a performance analysis. - Amit Gordon, Aditya Banerjee, Maciej Koch-Janusz, Zohar Ringel:
Relevance in the Renormalization Group and in Information Theory. - Xiao Chen, Thomas Navidi, Ram Rajagopal:
Generating private data with user customization. - Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah, Sun-Yuan Kung:
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans. - Neville Ryant, Prachi Singh, Venkat Krishnamohan, Rajat Varma, Kenneth Church, Christopher Cieri, Jun Du, Sriram Ganapathy, Mark Y. Liberman:
The Third DIHARD Diarization Challenge. - Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han:
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows. - Weinan E, Stephan Wojtowytsch:
Some observations on partial differential equations in Barron and multi-layer spaces. - Daniela Oliveira, Fabio Enrique Brochero Martínez:
On circulant matrices and rational points of Artin Schreier's curves. - Damian Kwasny, Daria Hemmerling:
Joint gender and age estimation based on speech signals using x-vectors and transfer learning. - Aneesh Heintz, Vesal Razavimaleki, Javier M. Duarte, Gage DeZoort, Isobel Ojalvo, Savannah Thais, Markus Atkinson, Mark S. Neubauer, Lindsey Gray, Sergo Jindariani, Nhan Tran, Philip C. Harris, Dylan S. Rankin, Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Mia Liu, Edward Kreinar, Zhenbin Wu:
Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs. - Piper Wolters, Chris Careaga, Brian Hutchinson, Lauren Phillips:
A Study of Few-Shot Audio Classification. - MinKeun Chung, Liang Liu, Andreas Johansson, Martin Nilsson, Olof Zander, Zhinong Ying, Fredrik Tufvesson, Ove Edfors:
Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming. - Yuantong Li, Chi-Hua Wang, Guang Cheng:
Online Forgetting Process for Linear Regression Models. - Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir:
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. - Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Sample-efficient L0-L2 constrained structure learning of sparse Ising models. - Jiangtao Nie, Lei Zhang, Wei Wei, Zhiqiang Lang, Yanning Zhang:
Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution. - Jianli Yu, Zhuliang Yu:
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems. - Marthe Bonamy, Louis Esperet, Carla Groenland, Alex D. Scott:
Optimal labelling schemes for adjacency, comparability and reachability. - Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu:
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation. - Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. - Anton Schiela, Matthias Stöcklein, Martin Weiser:
A primal dual projection algorithm for efficient constraint preconditioning. - Ulrich Faigle:
Mathematical Game Theory. - Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen, Shao-Yi Chien:
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs. - Srinivasan Arunachalam, Alex B. Grilo, Tom Gur, Igor C. Oliveira, Aarthi Sundaram:
Quantum learning algorithms imply circuit lower bounds. - Samet Uzun, Nazim Kemal Ure:
A Probabilistic Guidance Approach to Swarm-to-Swarm Engagement Problem. - Rajdip Nayek, Ramón Fuentes, Keith Worden, Elizabeth J. Cross:
On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. - Wei Zhou, Zhibo Chen:
Deep Multi-Scale Features Learning for Distorted Image Quality Assessment. - Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji:
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery. - Juan Emmanuel Johnson, Sairam Sundaresan, Tansu Daylan, Lisseth Gavilan, Daniel K. Giles, Stela Ishitani Silva, Anna Jungbluth, Brett M. Morris, Andrés Muñoz-Jaramillo:
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks. - Zhipeng Li, Yong Long, Il Yong Chun:
An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT. - Rose Nakasi, Aminah Zawedde, Ernest Mwebaze, Jeremy Francis Tusubira, Gilbert Maiga:
Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears. - Antoine Marot, Alexandre Rozier, Matthieu Dussartre, Laure Crochepierre, Benjamin Donnot:
Towards an AI assistant for human grid operators. - David Pfau, Danilo J. Rezende:
Integrable Nonparametric Flows. - Robert Paluch, Krzysztof Suchecki, Janusz A. Holyst:
Locating the source of interacting signal in complex networks. - Ion Victor Gosea, Dimitrios S. Karachalios, Athanasios C. Antoulas:
Learning reduced-order models of quadratic control systems from input-output data. - George Lamb, Brooks Paige:
Bayesian Graph Neural Networks for Molecular Property Prediction. - Rory P. Bunker, Kirsten Spencer:
Performance Indicators Contributing To Success At The Group And Play-Off Stages Of The 2019 Rugby World Cup. - Christoph Schumacher, Matthias Täufer:
The Statistics of Noisy One-Stage Group Testing in Outbreaks. - Tom Leinster:
Entropy and Diversity: The Axiomatic Approach. - Walter O. Krawec, Rotem Liss, Tal Mor:
Security Proof Against Collective Attacks for an Experimentally Feasible Semi-Quantum Key Distribution Protocol. - Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson:
A similarity-based Bayesian mixture-of-experts model. - Vasco Brattka:
The Discontinuity Problem. - Matt Hohertz:
A constructive proof of the convergence of Kalantari's bound on polynomial zeros. - Víctor Hernández-Santamaría, Pedro González-Casanova:
Carleman estimates and controllability results for fully-discrete approximations of 1-D parabolic equations. - Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus:
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers. - Josef Schlittenlacher, Thomas Baer:
Individually amplified text-to-speech. - Veit Elser:
Reconstructing cellular automata rules from observations at nonconsecutive times. - Evgeny Bespalov, Denis S. Krotov:
On extended 1-perfect bitrades. - Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori, Anton Frisk Kockum:
Classification and reconstruction of optical quantum states with deep neural networks. - Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul:
Iterated Linear Optimization. - Puyuan Peng, Herman Kamper, Karen Livescu:
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings. - Khalfalla Awedat, Almabrok E. Essa:
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches. - Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. - Bingzhi Zhang, Quntao Zhuang:
Quantum Internet under random breakdowns and intentional attacks. - Arindam Chowdhury, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra:
Efficient power allocation using graph neural networks and deep algorithm unfolding. - Raoul R. Nigmatullin, Semyon Dorokhin, Alexander Ivchenko:
A Novel Approach to Radiometric Identification. - Áron Pozsár, Mátyás Szücs, Róbert Kovács, Tamás Fülöp:
Four spacetime dimensional simulation of rheological waves in solids and the merits of thermodynamics. - Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun:
Multiscale Attention Guided Network for COVID-19 Detection Using Chest X-ray Images. - Zhendong Ai, Zihan Wang, Wei Cui:
Low-Power Wireless Wearable ECG Monitoring Chestbelt Based on Ferroelectric Microprocessor. - Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoit Leduc, Ioannis Kanellos:
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes. - Samet Uzun, Nazim Kemal Ure:
Decentralized State-Dependent Markov Chain Synthesis for Swarm Guidance. - Yizhe Huang, Boris Kramer:
Balanced Reduced-Order Models for Iterative Nonlinear Control of Large-Scale Systems. - Ningcheng Li, Jonathan Wakim, Yilun Koethe, Timothy Huber, Terence P. Gade, Stephen J. Hunt, Brian Park:
Multicenter Assessment of Augmented Reality Registration Methods for Image-guided Interventions. - Wei Tang, Teague Tomesh, Jeffrey Larson, Martin Suchara, Margaret Martonosi:
CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations. - Bo Cowgill, Fabrizio Dell'Acqua, Sandra Matz:
The Managerial Effects of Algorithmic Fairness Activism. - Bo Cowgill, Fabrizio Dell'Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau:
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics. - Benjamin A. Burton, Alexander He:
Connecting 3-manifold triangulations with monotonic sequences of bistellar flips. - Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. - Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett:
When does gradient descent with logistic loss find interpolating two-layer networks? - Matthew J. Holland:
Non-monotone risk functions for learning. - Marthe Bonamy, Nicolas Bousquet, Louis Esperet, Carla Groenland, Chun-Hung Liu, François Pirot, Alex D. Scott:
Asymptotic Dimension of Minor-Closed Families and Assouad-Nagata Dimension of Surfaces. - Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savvides:
Offset Curves Loss for Imbalanced Problem in Medical Segmentation. - Naini Dudhe, Colin Benjamin:
Entanglement and quantum strategies reduce congestion costs in quantum Pigou networks. - Florian Bridoux, Amélia Durbec, Kévin Perrot, Adrien Richard:
Complexity of fixed point counting problems in Boolean Networks. - Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf:
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals. - Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Lingwei Kong, Jing Xiao:
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis. - Daniel Perez:
On C0-persistent homology and trees. - Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma:
What is a meaningful representation of protein sequences? - Taosha Fan, Todd D. Murphey:
Generalized Proximal Methods for Pose Graph Optimization. - Ali Kafaei Zad Tehrani, Mina Amiri, Iván M. Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics. - Stephan Hageboeck:
What the new RooFit can do for your analysis. - Kevin Raina:
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models. - John O. R. Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus:
Impact of weather factors on migration intention using machine learning algorithms. - Karol Lukanowski, Marcin Jarzyna:
Capacity of a lossy photon channel with direct detection. - Pedro L. C. Rodrigues, Alexandre Gramfort:
Learning summary features of time series for likelihood free inference. - Facundo Mémoli, Zhengchao Wan, Yusu Wang:
Persistent Laplacians: properties, algorithms and implications. - Ziqi Chen, Martin Renqiang Min, Xia Ning:
Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction. - Fedor Bakharev, Alexsandr Enin, A. Groman, A. Kalyuzhnuk, S. Matveenko, Yulia Petrova, I. Starkov, Sergey Tikhomirov:
Velocity of viscous fingers in miscible displacement. - Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Physics Guided Machine Learning Methods for Hydrology. - Alexander M. G. Cox, Simon C. Harris, Andreas E. Kyprianou, Minmin Wang:
Monte-Carlo Methods for the Neutron Transport Equation. - Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu:
Multi-Source Data-Driven Outage Location in Distribution Systems Using Probabilistic Graph Learning. - Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu:
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation. - Gowoon Cheon, Lusann Yang, Kevin McCloskey, Evan J. Reed, Ekin D. Cubuk:
Crystal Structure Search with Random Relaxations Using Graph Networks. - Luca Pipia, Jordi Muñoz-Marí, Eatidal Amin, Santiago Belda, Gustau Camps-Valls, Jochem Verrelst:
Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes. - Claire Birnie, Fredrik Hansteen:
Bidirectional recurrent neural networks for seismic event detection. - Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quetin, Philippe Delachartre:
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN. - Xinran Ma, Z. C. Tu, Shi-Ju Ran:
Deep neural network predicts parameters of quantum many-body Hamiltonians by learning visualized wave-functions. - Modestas Filipavicius, Matteo Manica, Joris Cadow, María Rodríguez Martínez:
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks. - Alexsandr Enin, Konstantin M. Kalinin, Yulia Petrova, Sergey Tikhomirov:
Optimal polymer slugs injection curves. - (Withdrawn) Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients.
- Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman:
Development and Characterization of a Chest CT Atlas. - Nathan Kallus:
Rejoinder: New Objectives for Policy Learning. - Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. - Yuanjun Zhao, Roberto Togneri, Victor Sreeram:
Multi-task Learning Based Spoofing-Robust Automatic Speaker Verification System. - Harish S. Bhat, Majerle Reeves, Ramin Raziperchikolaei:
Estimating Vector Fields from Noisy Time Series. - Taiji Suzuki, Shunta Akiyama:
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods. - Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring:
Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network. - Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar:
Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data. - (Withdrawn) Quantum Dynamics of Optimization Problems.
- Nabil Ibtehaz, S. M. Shakhawat Hossain Sourav, Md. Shamsuzzoha Bayzid, M. Sohel Rahman:
Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis. - Svetlana Roudenko, Zhongming Wang, Kai Yang:
Dynamics of solutions in the generalized Benjamin-Ono equation: a numerical study. - Miguel Morata-Dolz, Diego Bueso, Maria Piles, Gustau Camps-Valls:
Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality. - Tudor Giurgica-Tiron, Iordanis Kerenidis, Farrokh Labib, Anupam Prakash, William J. Zeng:
Low depth algorithms for quantum amplitude estimation. - Felix Voigtländer:
The universal approximation theorem for complex-valued neural networks. - Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni:
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. - Chao Pan, Siheng Chen, Antonio Ortega:
Spatio-Temporal Graph Scattering Transform. - Adrian Wheeldon, Alex Yakovlev, Rishad A. Shafik, Jordan Morris:
Low-Latency Asynchronous Logic Design for Inference at the Edge. - A. Vazquez-Castro, Davide Rusca, Hugo Zbinden:
Quantum Keyless Privacy vs. Quantum Key Distribution for Space Links. - Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert:
MLS: A Large-Scale Multilingual Dataset for Speech Research. - Anurag Anshu, Shalev Ben-David, Srijita Kundu:
On Query-to-Communication Lifting for Adversary Bounds. - Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao:
Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems. - Zhou Lu:
A Note on John Simplex with Positive Dilation. - Yuanqiang Zhou, Dewei Li, Yugeng Xi, Yunwen Xu:
Data-driven approximation for feasible regions in nonlinear model predictive control. - Han Gao, Zhengshuo Li:
An Improved Benders Decomposition Algorithm for Steady-State Dispatch Problem in an Integrated Electricity-Gas System. - Yuanqiang Zhou, Dewei Li, Yugeng Xi:
Data-Driven Predictive Control for Continuous-Time Industrial Processes with Completely Unknown Dynamics. - Lei Wang, Xin Liu, Yin Zhang:
A Distributed and Secure Algorithm for Computing Dominant SVD Based on Projection Splitting. - Chenfeng Miao, Shuang Liang, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture. - Leonardo Cella, Claudio Gentile, Massimiliano Pontil:
Online Model Selection: a Rested Bandit Formulation. - Andreas D. Meid:
Teaching reproducible research for medical students and postgraduate pharmaceutical scientists. - Chang Liu, Yixing Huang, Joscha Maier, Laura Klein, Marc Kachelrieß, Andreas Maier:
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization. - Olivier Dehaene, Axel Camara, Olivier Moindrot, Axel de Lavergne, Pierre Courtiol:
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology. - Eike Jannik Nustede, Jörn Anemüller:
Towards end-to-end speech enhancement with a variational U-Net architecture. - Sushil Kumar Saroj, Vikas Ratna, Rakesh Kumar, Nagendra Pratap Singh:
Efficient Kernel based Matched Filter Approach for Segmentation of Retinal Blood Vessels. - Wanli Ni, Xiao Liu, Yuanwei Liu, Hui Tian, Yue Chen:
Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks. - Alex Cole, Matteo Biagetti, Gary Shiu:
Topological Echoes of Primordial Physics in the Universe at Large Scales. - Kanggeun Lee, Won-Ki Jeong:
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture. - Andreas Brandsæter, Ingrid Kristine Glad:
Explainable Artificial Intelligence: How Subsets of the Training Data Affect a Prediction. - Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó:
Passive Approach for the K-means Problem on Streaming Data. - Kangqiao Liu, Ziyin Liu, Masahito Ueda:
Stochastic Gradient Descent with Large Learning Rate. - Yaniv Shulman:
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and L0 Regularization. - Yinghan Li, Shengqian Han, Chenyang Yang:
Multicell Power Control under Rate Constraints with Deep Learning. - Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. - Shane Gilroy:
Impact of Power Supply Noise on Image Sensor Performance in Automotive Applications. - Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex:
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury. - Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu:
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. - Gefersom Lima, Gabriel de Oliveira Ramos, Sandro Rigo, Felipe André Zeiser, Ariane da Silveira:
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks. - Elisa Chotzoglou, Thomas G. Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John M. Simpson, Bernhard Kainz:
Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome. - Minh H. Vu, Tufve Nyholm, Tommy Löfstedt:
Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation. - Matthew Corsetti, Ernest Fokoué:
Nonnegative Matrix Factorization with Toeplitz Penalty. - Ali Raza, Faaiq Waqar, Arni Sturluson, Cory Simon, Xiaoli Z. Fern:
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks. - Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen:
Joint Optimization of an Autoencoder for Clustering and Embedding. - Bojing Feng, Wenfang Xue, Bindang Xue, Zeyu Liu:
Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks. - Lara Marie Demajo, Vince Vella, Alexiei Dingli:
Explainable AI for Interpretable Credit Scoring. - Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi:
Foundations for Near-Term Quantum Natural Language Processing. - Konstantinos Meichanetzidis, Alexis Toumi, Giovanni de Felice, Bob Coecke:
Grammar-Aware Question-Answering on Quantum Computers. - Raghu Pasupathy, Yongjia Song:
Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs. - August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab:
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation. - Seth Troisi:
Combined Sieve Algorithm for Prime Gaps. - Fuxin Jiang, Chengyuan Zhang, Shaolong Sun, Jingyun Sun:
A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network. - Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng, Jhih-Yu Chen, Chih-Han Huang, Guo-Yuan Li, Chun-Yen Shen, Yu Tsao:
ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss. - Song Fang, Quanyan Zhu:
Independent Elliptical Distributions Minimize Their W2 Wasserstein Distance from Independent Elliptical Distributions with the Same Density Generator. - Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv:
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. - Prabhat Kumar, Rohit Kumar Kasera, S. Suresh:
Space observation on detoxing the unhealthy air quality during COVID-19 pandemic in India. - Ryan M. Corey, Andrew C. Singer:
Modeling the effects of dynamic range compression on signals in noise. - Matthew Corsetti, Ernest Fokoué:
Nonnegative Matrix Factorization with Zellner Penalty. - Lixin Sun, Jonathan Vandermause, Simon L. Batzner, Yu Xie, David Clark, Wei Chen, Boris Kozinsky:
Multitask machine learning of collective variables for enhanced sampling of rare events. - Yossi Rozantsev:
The Local Structure of Bounded Degree Graphs. - Jessica Craven, Vishnu Jejjala, Arjun Kar:
Disentangling a Deep Learned Volume Formula. - Song Fang, Quanyan Zhu:
The Spectral-Domain W2 Wasserstein Distance for Elliptical Processes and the Spectral-Domain Gelbrich Bound. - Tao Zhou, Mathew J. Cherukara, Charudatta Phatak:
High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming. - Mohammad Pirhooshyaran, Tamás Terlaky:
Quantum Circuit Design Search. - Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon:
Improved Convergence Rates for Non-Convex Federated Learning with Compression. - Daniel Turizo, Daniel K. Molzahn:
Invertibility Conditions for the Admittance Matrices of Balanced Power Systems. - Michael Klyuchka, Evgeny Hershkovitch Neiterman, Gil Ben-Artzi:
CEL-Net: Continuous Exposure for Extreme Low-Light Imaging. - Guillermo Valle Pérez, Ard A. Louis:
Generalization bounds for deep learning. - Reza Khodayi-mehr, Matthew W. Urban, Michael M. Zavlanos, Wilkins Aquino:
Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach. - Neehar Kondapaneni, Pietro Perona:
A Number Sense as an Emergent Property of the Manipulating Brain. - Dhruva Kartik, Neeraj Sood, Urbashi Mitra, Tara Javidi:
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach. - Esther Ezra, Orit E. Raz, Micha Sharir, Joshua Zahl:
On rich lenses in planar arrangements of circles and related problems. - Guangsheng Ma, Hongbo Li:
Quantum Fully Homomorphic Encryption without Preprocessing. - Chih-Hung Liang, Yu-An Chen, Yueh-Cheng Liu, Winston H. Hsu:
Raw Image Deblurring. - Luis M. Lopez-Ramos, Yves Teganya, Baltasar Beferull-Lozano, Seung-Jun Kim:
Channel Gain Cartography via Mixture of Experts. - Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs:
Interpretable deep learning regression for breast density estimation on MRI. - Banafsheh Beheshtipour, Maria Alessandra Papa:
Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates. - Ketan Rajawat, Chirag Kumar:
A Primal-Dual Framework for Decentralized Stochastic Optimization. - Andreas Prohl, Yanqing Wang:
Strong Error Estimates for a Space-Time Discretization of the Linear-Quadratic Control Problem with the Stochastic Heat Equation with Linear Noise. - Agnieszka Pocha, Tomasz Danel, Lukasz Maziarka:
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. - Amit Saha, Ritajit Majumdar, Debasri Saha, Amlan Chakrabarti, Susmita Sur-Kolay:
Asymptotically Improved Grover's Algorithm in any Dimensional Quantum System with Novel Decomposed n-qudit Toffoli Gate. - Paul-Gauthier Noé, Mohammad MohammadAmini, Driss Matrouf, Titouan Parcollet, Jean-François Bonastre:
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation. - A. Asensio Ramos, E. Pallé:
Planet cartography with neural learned regularization. - Jochem Verrelst, Sara Dethier, Juan Pablo Rivera, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. - Devis Tuia, Diego Marcos, Gustau Camps-Valls:
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization. - Isaiah Hull, Or Sattath, Eleni Diamanti, Göran Wendin:
Quantum Technology for Economists. - Ganesh Del Grosso, Georg Pichler, Pablo Piantanida:
Privacy-Preserving Synthetic Smart Meters Data. - Sizhe An, Ganapati Bhat, Suat Gumussoy, Ümit Y. Ogras:
Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks. - Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi:
Retrieval of Case 2 Water Quality Parameters with Machine Learning. - Parisa Karimi, Mark D. Butala, Farzad Kamalabadi:
Efficient model selection in switching linear dynamic systems. - Jordi Zomer, Nikola Besinovic, Mathijs Michiel de Weerdt, Rob M. P. Goverde:
The Maintenance Location Choice Problem for Railway Rolling Stock. - Adel Daoud, Devdatt P. Dubhashi:
Statistical modeling: the three cultures. - Shuoyang Wang, Guanqun Cao, Zuofeng Shang:
Estimation of the Mean Function of Functional Data via Deep Neural Networks. - Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez:
Hierarchical Residual Attention Network for Single Image Super-Resolution. - Dirk Johannßen, Chris Biemann:
Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises. - Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen:
Non-planar sensing skins for structural health monitoring based on electrical resistance tomography. - A. Maevskiy, F. Ratnikov, A. Zinchenko, V. Riabov:
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks. - Joscha Diehl, Kurusch Ebrahimi-Fard, Nikolas Tapia:
Generalized iterated-sums signatures. - Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls:
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models. - Masfiqur Rahaman, Md. Nazmul Hasan Sakib, Nafisa Islam, Saiful Islam Salim, Uday Kamal, Raihan Rasheed, A. B. M. Alim Al Islam:
Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing. - Sihan Huang, Haolei Weng, Yang Feng:
Spectral clustering via adaptive layer aggregation for multi-layer networks. - Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. - Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro:
Classical symmetries and QAOA. - Tineke Blom, Joris M. Mooij:
Robustness of Model Predictions under Extension. - Haoyu Wei, Florian Schiffers, Tobias Würfl, Daming Shen, Daniel Kim, Aggelos K. Katsaggelos, Oliver Cossairt:
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network. - Michael Weylandt, George Michailidis:
Automatic Registration and Convex Clustering of Time Series. - Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen:
Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering. - Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. - Aly Sabri Abdalla, Talha Faizur Rahman, Vuk Marojevic:
UAVs with Reconfigurable Intelligent Surfaces: Applications, Challenges, and Opportunities. - Xiaoqing Zhang, Jiansheng Fang, Yan Hu, Yanwu Xu, Risa Higashita, Jiang Liu:
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey. - Kai-Min Chung, Yi Lee, Han-Hsuan Lin, Xiaodi Wu:
Constant-round Blind Classical Verification of Quantum Sampling. - Zhen Chen, Ren-Qian Zhang:
A multi-period multi-product stochastic inventory problem with order-based loan. - Dena Firoozi:
LQG Mean Field Games with a Major Agent: Nash Certainty Equivalence versus Probabilistic Approach. - J. Maurice Rojas:
Counting Real Roots in Polynomial-Time for Systems Supported on Circuits. - Fang Zeng, Shixu Meng:
The Interior Inverse Electromagnetic Scattering for an Inhomogeneous Cavity. - Esteban Fernández Morales, Cong Zhang, Guanghua Xiao, Chul Moon, Qiwei Li:
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images. - Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. - Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent regression of biophysical parameters with kernel methods. - Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. - Vasil Khalidov, Florence Forbes, Radu Horaud:
Conjugate Mixture Models for Clustering Multimodal Data. - Émilie Charlier, Célia Cisternino, Manon Stipulanti:
Regular sequences and synchronized sequences in abstract numeration systems. - Caner Mercan, Maschenka Balkenhol, Roberto Salgado, Mark Sherman, Philippe Vielh, Willem Vreuls, António Polónia, Hugo M. Horlings, Wilko Weichert, Jodi M. Carter, Peter Bult, Matthias Christgen, Carsten Denkert, Koen van de Vijver, Jeroen van der Laak, Francesco Ciompi:
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. - Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Alexandre Charantonis, Arthur Filoche:
Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting. - Kristóf Bérczi, Tamás Schwarcz:
Rainbow and monochromatic circuits and cuts in binary matroids. - Katja Berger, Jochem Verrelst, Jean-Baptiste Féret, Tobias Hank, Matthias Wocher, Wolfram Mauser, Gustau Camps-Valls:
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. - Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang:
A multi-objective optimization framework for on-line ridesharing systems. - Hugo Lhachemi, Christophe Prieur:
Finite-dimensional observer-based PI regulation control of a reaction-diffusion equation. - Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness:
Variational Nonlinear System Identification. - Saddam Hussain Khan, Anabia Sohail, Asifullah Khan:
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN. - Mikhail I. Katsnelson, Vitaly Vanchurin:
Emergent Quantumness in Neural Networks. - Apostolos Chalkis, Ioannis Z. Emiris:
Modeling asset allocation strategies and a new portfolio performance score. - Hans-Christian Graf von Bothmer, Matteo Gallet, Josef Schicho:
Hexapods with a small linear span. - Fábio Botler, Luiz Hoffmann:
Decomposition of (2k+1)-regular graphs containing special spanning 2k-regular Cayley graphs into paths of length 2k+1. - Adrián Pérez-Suay, Gustau Camps-Valls:
Causal Inference in Geoscience and Remote Sensing from Observational Data. - Shih-Hao Tseng, James Anderson:
Synthesis to Deployment: Cyber-Physical Control Architectures. - Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes:
Gauge equivariant neural networks for quantum lattice gauge theories. - Sourav Chakraborty, Arkadev Chattopadhyay, Peter Høyer, Nikhil S. Mande, Manaswi Paraashar, Ronald de Wolf:
Symmetry and Quantum Query-to-Communication Simulation. - Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari:
Hard and Soft EM in Bayesian Network Learning from Incomplete Data. - Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao:
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. - Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden:
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. - Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher:
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation. - Robbie Sadre, Colin Ophus, Anstasiia Butko, Gunther H. Weber:
Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase Contrast Transmission Electron Microscopy Images. - Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications for Speech Signals. - Jason M. Altschuler, Enric Boix-Adserà:
Hardness results for Multimarginal Optimal Transport problems. - Matheus Costa e Silva, Norma Lucena-Silva, Juliana Doblas Massaro, Eduardo Antônio Donadi:
RLeave: an in silico cross-validation protocol for transcript differential expression analysis. - Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Douglas P. S. Gomes, Anwaar Ulhaq:
Automatic Generation of Interpretable Lung Cancer Scoring Models from Chest X-Ray Images. - Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu:
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis. - Nolan J. Coble, Matthew Coudron:
Quasi-polynomial Time Approximation of Output Probabilities of Constant-depth, Geometrically-local Quantum Circuits. - Nipun Wijerathne, Billy Pik Lik Lau, Benny Kai Kiat Ng, Chau Yuen:
Urban Space Insights Extraction using Acoustic Histogram Information. - Jeremy Levy, Daniel Álvarez, Félix del Campo, Joachim A. Behar:
Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers. - Debraj Basu:
On Shapley Credit Allocation for Interpretability. - Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva:
Deep learning methods for SAR image despeckling: trends and perspectives. - Guoqing Bao, Huai Chen, Tongliang Liu, Guanzhong Gong, Yong Yin, Lisheng Wang, Xiuying Wang:
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19. - Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante:
Learning Multiple Sound Source 2D Localization. - Liyang Han, Jalal Kazempour, Pierre Pinson:
Monetizing Customer Load Data for an Energy Retailer: A Cooperative Game Approach. - Ali Narin:
Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images. - Brodie A. J. Lawson, Rodrigo Weber dos Santos, Ian W. Turner, Alfonso Bueno-Orovio, Pamela M. Burrage, Kevin Burrage:
Homogenisation for the monodomain model in the presence of microscopic fibrotic structures. - Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana:
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization. - Ali Narin, Ziynet Pamuk:
Effect of Different Batch Size Parameters on Predicting of COVID19 Cases. - Qiyao Peng, Fred J. Vermolen, Daphne Weihs:
A Formalism for Modelling Traction forces and Cell Shape Evolution during Cell Migration in Various Biomedical Processes. - Ali Narin:
Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network. - Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto:
A generalised log-determinant regularizer for online semi-definite programming and its applications. - Sébastien Gadat, Ioana Gavra:
Asymptotic study of stochastic adaptive algorithm in non-convex landscape. - Júlio Araújo, Victor A. Campos, Darlan Girão, João Nogueira, António Salgueiro, Ana Silva:
Cycle convexity and the tunnel number of links. - Olivier Rukundo:
Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI. - Manuel Bodirsky, Johannes Greiner, Jakub Rydval:
Tractable Combinations of Temporal CSPs. - Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King:
Utilising Graph Machine Learning within Drug Discovery and Development. - Xianan Zhang, Wei Wang, Xuedou Xiao, Hang Yang, Xinyu Zhang, Tao Jiang:
Peer-to-Peer Localization for Single-Antenna Devices. - Victor Parque, Wataru Suzaki, Satoshi Miura, Ayako Torisaka, Tomoyuki Miyashita, Michihiro Natori:
Packaging of Thick Membranes using a Multi-Spiral Folding Approach: Flat and Curved Surfaces. - Daria Kern, André Mastmeyer:
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review. - Vincent W. C. Tan, Stefan Zohren:
Large Non-Stationary Noisy Covariance Matrices: A Cross-Validation Approach. - Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. - Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, Xin Wang:
Variational Quantum Algorithms for Trace Distance and Fidelity Estimation. - David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. - Andrew Nemec, Andreas Klappenecker:
Encoding Classical Information in Gauge Subsystems of Quantum Codes. - Justina Deveikyte, Helyette Geman, Carlo Piccari, Alessandro Provetti:
A Sentiment Analysis Approach to the Prediction of Market Volatility. - Guillaume Le Moing, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Phongtharin Vinayavekhin:
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization. - Anna Mateo-Sanchis, Jordi Muñoz-Marí, Manuel Campos-Taberner, F. Javier García-Haro, Gustau Camps-Valls:
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes. - S. Mucesh, William G. Hartley, Antonella Palmese, Ofer Lahav, L. Whiteway, A. Amon, Keith C. Bechtol, Gary M. Bernstein, Aurelio Carnero Rosell, Matias Carrasco Kind, A. Choi, K. Eckert, S. Everett, Daniel Gruen, Robert A. Gruendl, I. Harrison, E. M. Huff, Nikolay Kuropatkin, Ignacio Sevilla-Noarbe, Erin Sheldon, Brian Yanny, Michel Aguena, Sahar Allam, D. Bacon, Emmanuel Bertin, S. Bhargava, D. Brooks, Jorge Carretero, Francisco J. Castander, Christopher J. Conselice, Matteo Costanzi, Martín Crocce, Luiz Nicolaci da Costa, M. E. S. Pereira, J. DeVicente, Shantanu Desai, H. Thomas Diehl, Alex Drlica-Wagner, August E. Evrard, I. Ferrero, Brenna L. Flaugher, Pablo Fosalba, Joshua A. Frieman, Juan García-Bellido, Enrique Gaztañaga, David W. Gerdes, Julia Gschwend, G. Gutierrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, K. Kuehn, Marcos Lima, H. Lin, Marcio A. G. Maia, Peter Melchior, Felipe Menanteau, Ramon Miquel, Robert Morgan, Francisco Paz-Chinchón, Andreas Alejandro Plazas, Eusebio Sánchez, Victor E. Scarpine, Michael S. Schubnell, Santiago Serrano, M. Smith, Eric Suchyta, Gregory G. Tarlé, D. Thomas, C. To, T. N. Varga, R. D. Wilkinson:
A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. - Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky, Eshkol Eytan:
3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields. - Steven Golovkine, Nicolas Klutchnikoff, Valentin Patilea:
Clustering multivariate functional data using unsupervised binary trees. - Chaya Keller, Micha A. Perles:
No Krasnoselskii number for general sets in R2. - Kyle N. Edwards, Xiao Shen:
Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron. - Hendra I. Nurdin, Nina H. Amini, Jiayin Chen:
Data-Driven System Identification of Linear Quantum Systems Coupled to Time-Varying Coherent Inputs. - Philippe Schwaller, Daniel Probst, Alain C. Vaucher, Vishnu H. Nair, David Kreutter, Teodoro Laino, Jean-Louis Reymond:
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks. - Sergey Bravyi, Joseph A. Latone, Dmitri Maslov:
6-qubit Optimal Clifford Circuits. - Tonatiuh Hernández-Del-Toro, Carlos A. Reyes García:
An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals. - Shuhei Saito, Wei Wu, Naoki Matsumoto:
Rainbow Perfect and Near-Perfect Matchings in Complete Graphs with Edges Colored by Circular Distance. - Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks. - Markus Holzer, Martin Bauer, Ullrich Rüde:
Highly Efficient Lattice-Boltzmann Multiphase Simulations of Immiscible Fluids at High-Density Ratios on CPUs and GPUs through Code Generation. - Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. - Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi:
Deep-Learning-Based Kinematic Reconstruction for DUNE. - Nasir Saeed, Heba Almorad, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Jeff S. Shamma, Mohamed-Slim Alouini:
Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges. - Marina Danilova, Pavel E. Dvurechensky, Alexander V. Gasnikov, Eduard Gorbunov, Sergey Guminov, Dmitry Kamzolov, Innokentiy Shibaev:
Recent Theoretical Advances in Non-Convex Optimization. - Tomoharu Iwata, Yoshinobu Kawahara:
Neural Dynamic Mode Decomposition for End-to-End Modeling of Nonlinear Dynamics. - Stefano Gherardini, Matthias M. Müller, Simone Montangero, Tommaso Calarco, Filippo Caruso:
Information flow and error scaling for fully-quantum control. - Dong An, Noah Linden, Jin-Peng Liu, Ashley Montanaro, Changpeng Shao, Jiasu Wang:
Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance. - Markus Chimani, Martina Juhnke-Kubitzke, Alexander Nover:
On the Bond Polytope. - Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll:
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Agapi Rissaki, Orestis Pavlou, Dimitris Fotakis, Vicky Papadopoulou, Andreas Efstathiou:
Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks. - Shuteng Niu, Meryl Liu, Yongxin Liu, Jian Wang, Houbing Song:
Distant Domain Transfer Learning for Medical Imaging. - Iacopo Iacopini, Gabriele Di Bona, Enrico Ubaldi, Vittorio Loreto, Vito Latora:
Interacting discovery processes on complex networks. - Mehran Shakarami, Ashish Cherukuri, Nima Monshizadeh:
Steering the aggregative behavior of noncooperative agents: a nudge framework. - Benoît Sohet, Yezekael Hayel, Olivier Beaude, Alban Jeandin:
Hierarchical coupled routing-charging model of electric vehicles, stations and grid operators. - Boris Landa:
Scaling positive random matrices: concentration and asymptotic convergence. - Richard McKinley, Michael Rebsamen, Katrin Daetwyler, Raphael Meier, Piotr Radojewski, Roland Wiest:
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty. - Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. - Ruisheng Diao, Di Shi, Bei Zhang, Siqi Wang, Haifeng Li, Chunlei Xu, Tu Lan, Desong Bian, Jiajun Duan:
On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control. - Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear classical and quantum algorithms for general matrix games. - Jakob Hartig, Benedict C. Depp, Manuel Rexer, Peter F. Pelz:
Effects of Unsteady Heat Transfer on Behaviour of Commercial Hydro-Pneumatic Accumulators. - Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa:
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. - Andrew Simon Johnson, William Winlow:
Does the brain function as a quantum phase computer using phase ternary computation? - Marcos Matabuena, Paulo Félix, Carlos Meijide-Garcia, Francisco Gude:
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology. - Alexis Marchal:
Risk & returns around FOMC press conferences: a novel perspective from computer vision. - Christoph Feinauer, Carlo Lucibello:
Reconstruction of Pairwise Interactions using Energy-Based Models. - Yufeng Luo, Roland Haas, Qian Zhang, Gabrielle Allen:
DataVault: A Data Storage Infrastructure for the Einstein Toolkit. - Shaoshi Ling, Yuzong Liu:
DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization. - Johann Rudi, Julie Bessac, Amanda Lenzi:
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE. - Xijiang Miao, Michael G. Bryson, Homayoun Valafar:
TALI: Protein Structure Alignment Using Backbone Torsion Angles. - Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov:
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. - Henry Adams, Leah Gibson, Jack Pfaffinger:
Lions and contamination, triangular grids, and Cheeger constants. - Huachuan Wang, James Ting-Ho Lo:
Low-Order Model of Biological Neural Networks. - Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros:
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. - Saqib Qamar, Parvez Ahmad, Linlin Shen:
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation. - Koji Azuma, Stefan Bäuml, Tim Coopmans, David Elkouss, Boxi Li:
Tools for quantum network design. - Awadelrahman Mohamedelsadig Ali Ahmed:
Generative Adversarial Networks for Automatic Polyp Segmentation. - S. Aljbaae, Diogo Merguizo Sanchez, Antônio Fernando Bertachini de Almeida Prado, J. Souchay, M. O. Terra, Rodolfo Batista Negri, L. O. Marchi:
First approximation for spacecraft motion relative to (99942) Apophis. - Lorenzo Fassina, Alessandro Faragli, Francesco Paolo Lo Muzio, Sebastian Kelle, Carlos Campañá, Burkert Pieske, Frank Edelmann, Alessio Alogna:
A random shuffle method to expand a narrow dataset and overcome the associated challenges in a clinical study: a heart failure cohort example. - Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-based Multi-task Feature Learning. - Ioannis Dimitriou:
On partially homogeneous nearest-neighbour random walks in the quarter plane and their application in the analysis of two-dimensional queues with limited state-dependency. - Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong:
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. - Alessio Benavoli, Dario Azzimonti, Dario Piga:
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes. - Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Tutoring Reinforcement Learning via Feedback Control. - Chun-Hung Chao, Hsien-Tzu Cheng, Tsung-Ying Ho, Le Lu, Min Sun:
Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation. - Mufan Sang, Wei Xia, John H. L. Hansen:
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning. - Kungang Zhang, Anh Tuan Bui, Daniel W. Apley:
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors. - Leighton Wilson, Nathan Vaughn, Robert Krasny:
A GPU-Accelerated Fast Summation Method Based on Barycentric Lagrange Interpolation and Dual Tree Traversal. - Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. - Kerem Yunus Çamsari, Mustafa Mert Torunbalci, William A. Borders, Hideo Ohno, Shunsuke Fukami:
Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits. - Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja:
k-Variance: A Clustered Notion of Variance. - Abhejit Rajagopal, Vamshi C. Madala, Shivkumar Chandrasekaran, Peder E. Z. Larson:
Predicting Generalization in Deep Learning via Local Measures of Distortion. - Ivan Yu. Mogilnykh:
Completely regular codes in Johnson and Grassmann graphs with small covering radii. - Anand A. Joshi, Soyoung Choi, Haleh Akrami, Richard M. Leahy:
fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies. - Yi Zhang, Hu Chen, Wenjun Xia, Yang Chen, Baodong Liu, Yan Liu, Huaiqiang Sun, Jiliu Zhou:
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT. - Peter Nekrasov, Jessica Freeze, Victor Batista:
Using Restricted Boltzmann Machines to Model Molecular Geometries. - Sriram Nagaraj:
Optimization and Learning With Nonlocal Calculus. - Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou:
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. - Jingxin Zhang, Donghua Zhou, Maoyin Chen:
Monitoring multimode processes: a modified PCA algorithm with continual learning ability. - Narinder Singh Punn, Sonali Agarwal:
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. - Ogun Yurdakul, Andreas Meyer, Fikret Sivrikaya, Sahin Albayrak:
Forecasting Daily Primary Three-Hour Net Load Ramps in the CAISO System. - Charles Poussot-Vassal, Tiphaine Sabatier, Claire Sarrat, Pierre Vuillemin:
Mixed interpolatory and inference non-intrusive reduced order modeling with application to pollutants dispersion. - David E. Graff, Eugene I. Shakhnovich, Connor W. Coley:
Accelerating high-throughput virtual screening through molecular pool-based active learning. - Aniketh Manjunath, Subramanya Jois, Chandra Sekhar Seelamantula:
Robust Segmentation of Optic Disc and Cup from Fundus Images Using Deep Neural Networks. - Daniel Poh, Bryan Lim, Stefan Zohren, Stephen J. Roberts:
Building Cross-Sectional Systematic Strategies By Learning to Rank. - Wei Xia, Chunlei Zhang, Chao Weng, Meng Yu, Dong Yu:
Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning. - Eero Hirvijoki:
Structure-preserving marker-particle discretizations of Coulomb collisions for particle-in-cell codes. - Thomas Bartz-Beielstein, Frederik Rehbach, Olaf Mersmann, Eva Bartz:
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic. - Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh:
D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation. - Muyi Sun, Zeyi Yao, Guanhong Zhang:
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks. - Oliver Knill:
Complexes, Graphs, Homotopy, Products and Shannon Capacity. - Neeraj Kumar, Srishti Goel, Ankur Narang, Brejesh Lall:
Few Shot Adaptive Normalization Driven Multi-Speaker Speech Synthesis. - Mingchao Li, Yuhan Zhang, Zexuan Ji, Keren Xie, Songtao Yuan, Qinghuai Liu, Qiang Chen:
IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation. - Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. - Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness:
Variational State and Parameter Estimation. - Jean Feng:
Learning how to approve updates to machine learning algorithms in non-stationary settings. - Yi Luo, Cong Han, Nima Mesgarani:
Group Communication with Context Codec for Ultra-Lightweight Source Separation. - Yuma Koizumi, Yasunori Ohishi, Daisuke Niizumi, Daiki Takeuchi, Masahiro Yasuda:
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval. - Matthew J. Holland:
Better scalability under potentially heavy-tailed feedback. - Hu Hu, Xuesong Yang, Zeynab Raeesy, Jinxi Guo, Gökçe Keskin, Harish Arsikere, Ariya Rastrow, Andreas Stolcke, Roland Maas:
REDAT: Accent-Invariant Representation for End-to-End ASR by Domain Adversarial Training with Relabeling. - Devsi Bantva, Samir Vaidya:
Hamiltonian chromatic number of trees. - Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular graph generation with Graph Neural Networks. - Arieh Iserles, Marcus Webb:
A Differential Analogue of Favard's Theorem. - George Sterpu, Naomi Harte:
AV Taris: Online Audio-Visual Speech Recognition. - Katharina Bieker, Bennet Gebken, Sebastian Peitz:
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation. - Yamila Barrera, Leonardo Boechi, Matthieu Jonckheere, Vincent Lefieux, Dominique Picard, Ezequiel Smucler, Agustín Somacal, Alfredo Umfurer:
Clustering high dimensional meteorological scenarios: results and performance index. - Saulo Queiroz, João P. Vilela, Edmundo Monteiro:
Is FFT Fast Enough for Beyond-5G Communications? - Timo Theurich, Johann Gross, Malte Krack:
Effects of modal energy scattering and friction on the resonance mitigation with an impact absorber. - Konstantinos Yiannopoulos, Nikolaos C. Sagias, Anthony C. Boucouvalas:
Pointing Error Analysis of Optically Pre-Amplified Pulse Position Modulation Receivers. - Julie Rowlett:
The level sets of typical games. - Baldur Steingrimsson, Xuesong Fan, Anand Kulkarni, Michael C. Gao, Peter K. Liaw:
Machine Learning and Data Analytics for Design and Manufacturing of High-Entropy Materials Exhibiting Mechanical or Fatigue Properties of Interest. - Iasson Karafyllis, Antoine Chaillet:
Lyapunov Conditions for Uniform Asymptotic Output Stability and a Relaxation of Barbalat's Lemma. - Eugenio Borghini, Ximena Fernández, Pablo Groisman, Gabriel B. Mindlin:
Intrinsic persistent homology via density-based metric learning. - Thai-Bao Duong-Nguyen, Thien-Nu Hoang, Phong Vo, Hoai Bac Le:
Water Level Estimation Using Sentinel-1 Synthetic Aperture Radar Imagery And Digital Elevation Models. - Christian Elbracht, Jan Kurkofka, Maximilian Teegen:
Edge-connectivity and tree-structure in finite and infinite graphs. - Ilya Peshkov, Michael Dumbser, Walter Boscheri, Evgeniy I. Romenski, Simone Chiocchetti, Matteo Ioriatti:
Modeling solid-fluid transformations in non-Newtonian viscoplastic flows with a unified flow theory. - Romain Cosentino, Randall Balestriero:
Sparse Multi-Family Deep Scattering Network. - Nam Q. Le:
A spectral characterization and an approximation scheme for the Hessian eigenvalue. - Thiago B. Burghi, Maarten Schoukens, Rodolphe Sepulchre:
System identification of biophysical neuronal models. - Ji Liu, Luciano Bello, Huiyang Zhou:
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits. - Fabio Bagagiolo, Adriano Festa, Luciano Marzufero:
The orienteering problem: a hybrid control formulation. - Jae Eun Park, Brian Quanz, Steve Wood, Heather Higgins, Ray Harishankar:
Practical application improvement to Quantum SVM: theory to practice. - Ziyang Ding, Sayan Mukherjee:
At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing. - Mohammad N. Murshed, Mohammad Monir Uddin:
Towards an Adaptive Dynamic Mode Decomposition. - Stefano Maranò, Ali H. Sayed:
Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data. - Victor Magron, Jie Wang:
SONC Optimization and Exact Nonnegativity Certificates via Second-Order Cone Programming. - Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, José del Águila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry:
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. - Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias, Boris Mansencal, José V. Manjón, Pierrick Coupé:
Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation. - Yujiao Hao, Boyu Wang, Rong Zheng:
Invariant Feature Learning for Sensor-based Human Activity Recognition. - Mihaela Rosca, Theophane Weber, Arthur Gretton, Shakir Mohamed:
A case for new neural network smoothness constraints. - Didong Li, Andrew Jones, Barbara E. Engelhardt:
Probabilistic Contrastive Principal Component Analysis. - Marius Hofert, Avinash Prasad, Mu Zhu:
Applications of multivariate quasi-random sampling with neural networks. - Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak:
Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. - Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt:
Variational Beam Search for Online Learning with Distribution Shifts. - Daewa Kim, Kaylie O'Connell, William Ott, Annalisa Quaini:
A kinetic theory approach for 2D crowd dynamics with emotional contagion. - Artem Fomin, Boris Goldengorin:
An efficient model for the preemptive single machine scheduling of equal-length jobs. - Ludvig Hult, Dave Zachariah:
Inference of Causal Effects when Adjustment Sets are Unknown. - Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair:
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. - Frédéric Schmidt, Guillaume Cruz Mermy, Justin Erwin, Severine Robert, Lori Neary, Ian R. Thomas, Frank Daerden, Bojan Ristic, Manish R. Patel, Giancarlo Bellucci, José Juan López Moreno, Ann-Carine Vandaele:
Machine Learning for automatic identification of new minor species. - Igor G. Vladimirov, Ian R. Petersen:
Moment dynamics and observer design for a class of quasilinear quantum stochastic systems. - Marco Rossi, Stefano Carrazza, Juan M. Cruz-Martinez:
PDFFlow: hardware accelerating parton density access. - Gabriel Turinici:
Architectures of epidemic models: accommodating constraints from empirical and clinical data. - Sean Tull:
Monoidal Categories for Formal Concept Analysis. - Yurii Kolomoitsev:
Approximation by quasi-interpolation operators and Smolyak's algorithm. - Guangxi Li, Zhixin Song, Xin Wang:
VSQL: Variational Shadow Quantum Learning for Classification. - David H. Wolpert, David Kinney:
Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes. - Ivan V. Kazachkov:
Modeling and computer simulation of the mixing and heat transfer in heterogeneous turbulent two-phase jets of mutually immiscible liquids by the method of Professor Alfred I. Nakorchevskii. Part 1. - Huahong Zhang, Ipek Oguz:
Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods. - Caterina Caracciolo, Sophie Aubin, Clément Jonquet, Emna Amdouni, Romain David, Leyla J. García, Brandon Whitehead, Catherine Roussey, Armando Stellato, Ferdinando Villa:
39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition. - Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek:
Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection. - Sander Borst, Daniel Dadush, Sophie Huiberts, Samarth Tiwari:
On the Integrality Gap of Binary Integer Programs with Gaussian Data. - Marc Bezem, Thierry Coquand, Peter Dybjer, Martín Escardó:
A Note on Generalized Algebraic Theories and Categories with Families. - Yifeng Xiong, Daryus Chandra, Soon Xin Ng, Lajos Hanzo:
Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems. - Kuang Huang, Xu Chen, Xuan Di, Qiang Du:
Driving and Routing Game for Autonomous Vehicles on a Network. - Nir Shlezinger, Jay Whang, Yonina C. Eldar, Alexandros G. Dimakis:
Model-Based Deep Learning. - Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma:
Spectral Methods for Data Science: A Statistical Perspective. - Frédéric A. Dreyer, Huilin Qu:
Jet tagging in the Lund plane with graph networks. - Eliu A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster:
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. - Yuan Luo, Chengsheng Mao:
PANTHER: Pathway Augmented Nonnegative Tensor factorization for HighER-order feature learning. - Fabio Bagagiolo, Adriano Festa, Luciano Marzufero:
Hybrid control for optimal visiting problems for a single player and for a crowd. - Jorge Aguayo, Hugo Carrillo Lincopi:
Analysis of obstacles immersed in viscous fluids using Brinkman's law for steady Stokes and Navier-Stokes equations. - Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels. - Kirthevasan Kandasamy, Gur-Eyal Sela, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Online Learning Demands in Max-min Fairness. - Alvaro Diaz-Flores, José Fernández, Leonard Vance, Himangshu Kalita, Jekan Thangavelautham:
FemtoSats for Exploring Permanently Shadowed Regions on the Moon. - Elian Malkin, Arturo Deza, Tomaso A. Poggio:
CUDA-Optimized real-time rendering of a Foveated Visual System. - Mark Huber:
Generating from the Strauss Process using stitching. - Wei Cheng, Ghulam Murtaza, Aaron Wang:
SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression. - Brian A. Freno, Neil R. Matula:
Manufactured Solutions for the Method-of-Moments Implementation of the Electric-Field Integral Equation. - Tiesong Zhao, Yuting Lin, Yiwen Xu, Weiling Chen, Zhou Wang:
Learning-Based Quality Assessment for Image Super-Resolution. - Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Marion Smits, Wiro J. Niessen, John van Swieten, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Aad van der Lugt:
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease. - Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
On O( max {n1, n2} log ( max {n1, n2} n3)) Sample Entries for n1 × n2 × n3 Tensor Completion via Unitary Transformation. - Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov, Andrey Y. Lokhov:
Programmable Quantum Annealers as Noisy Gibbs Samplers. - Kenneth Lomas, Dave Cliff:
Exploring Narrative Economics: An Agent-Based-Modeling Platform that Integrates Automated Traders with Opinion Dynamics. - Ashish Cherukuri, Ashish Ranjan Hota:
Consistency of Distributionally Robust Risk- and Chance-Constrained Optimization under Wasserstein Ambiguity Sets. - Thomas Haubner, Mhd Modar Halimeh, Andreas Brendel, Walter Kellermann:
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation. - Giovanni Falcone, Ágota Figula, Carolin Hannusch:
Explicit bases of the Riemann-Roch spaces on divisors on hyperelliptic curves. - David Schaller, Manuel Lafond, Peter F. Stadler, Nicolas Wieseke, Marc Hellmuth:
Indirect Identification of Horizontal Gene Transfer. - Juan Manuel Górriz, John Suckling:
A connection between the pattern classification problem and the General Linear Model for statistical inference. - Onur Günlü, Rafael F. Schaefer:
Secret Key Agreement with Physical Unclonable Functions: An Optimality Summary. - Dengqiang Jia, Xiahai Zhuang:
Learning-Based Algorithms for Vessel Tracking: A Review. - Stanislav S. Budzinskiy, Sergey A. Matveev, Pavel L. Krapivsky:
Hopf bifurcation in addition-shattering kinetics. - Miles E. Hansard, Radu Horaud:
A Differential Model of the Complex Cell. - Huanyu Zhou, Qingjie Liu, Yunhong Wang:
PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening. - Manish Bansal, Parshin Shojaee:
Planar Maximum Coverage Location Problem with Partial Coverage, Continuous Spatial Demand, and Adjustable Quality of Service. - Olivier Rukundo:
Evaluation of deep learning-based myocardial infarction quantification using Segment CMR software. - Bruno Lévy, Roya Mohayaee, Sebastian von Hausegger:
A fast semi-discrete optimal transport algorithm for a unique reconstruction of the early Universe. - Ruoqian Lin, Rui Zhang, Chunyang Wang, Xiao-Qing Yang, Huolin L. Xin:
TEMImageNet and AtomSegNet Deep Learning Training Library and Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-resolution Processing of Atom-Resolution Scanning TEM Images. - Flavio Maschietti, Gábor Fodor, David Gesbert, Paul de Kerret:
User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO. - Bo Lin, Qianxiao Li, Weiqing Ren:
A Data Driven Method for Computing Quasipotentials. - Vladimir Vargas-Calderón, Jorge E. Camargo:
Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy. - Huaju Liang, Hongyang Bai, Tong Zhou:
Exploration of Whether Skylight Polarization Patterns Contain Three-dimensional Attitude Information. - Yuan Su, Hsin-Yuan Huang, Earl T. Campbell:
Nearly tight Trotterization of interacting electrons. - Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul:
Clustering with Iterated Linear Optimization. - Jiening Zhu, Kaiming Xu, Allen R. Tannenbaum:
Optimal transport for vector Gaussian mixture models. - Stefano Cipolla, Jacek Gondzio:
ADMM and inexact ALM: the QP case. - Gary P. T. Choi, Levi H. Dudte, L. Mahadevan:
Compact reconfigurable kirigami. - Abdullah Sarhan, Jon G. Rokne, Reda Alhajj, Andrew Crichton:
Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images. - Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Parijat Dube:
Detection of data drift and outliers affecting machine learning model performance over time. - Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles:
Variational Quantum Algorithms. - Homayoun Valafar, Faramarz Valafar:
Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation. - Hao Tang, Xingwei Liu, Kun Han, Shanlin Sun, Narisu Bai, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie:
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation. - Matthias Nadler, Fabian Schär:
Decentralized Finance, Centralized Ownership? An Iterative Mapping Process to Measure Protocol Token Distribution. - Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu:
Computational discovery of new 2D materials using deep learning generative models. - Gustavo Pérez, Matteo Messa, Daniela Calzetti, Subhransu Maji, Dooseok Jung, Angela Adamo, Mattia Siressi:
StarcNet: Machine Learning for Star Cluster Identification. - Ryandhimas E. Zezario, Chiou-Shann Fuh, Hsin-Min Wang, Yu Tsao:
Speech Enhancement with Zero-Shot Model Selection. - Qisheng Wang, Mingsheng Ying:
Quantum Algorithm for Lexicographically Minimal String Rotation. - Anna V. Little, Daniel McKenzie, James M. Murphy:
Balancing Geometry and Density: Path Distances on High-Dimensional Data. - Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean:
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. - Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu:
Interactive Speech and Noise Modeling for Speech Enhancement. - A. E. Allahverdyan, N. H. Martirosyan:
Maximum Entropy competes with Maximum Likelihood. - Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Ryan T. Glasser:
On the experimental feasibility of quantum state reconstruction via machine learning. - Daniel Perez:
On the persistent homology of almost surely C0 stochastic processes. - Kelvin Shak, Mundher Al-Shabi, Andrea Liew, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan:
A new semi-supervised self-training method for lung cancer prediction. - Thomas Dietzen, Enzo De Sena, Toon van Waterschoot:
Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling. - Siyuan Feng, Odette Scharenborg:
The effectiveness of unsupervised subword modeling with autoregressive and cross-lingual phone-aware networks. - Chen Zhang, Yi Ren, Xu Tan, Jinglin Liu, Kejun Zhang, Tao Qin, Sheng Zhao, Tie-Yan Liu:
DenoiSpeech: Denoising Text to Speech with Frame-Level Noise Modeling. - Yaojun Wu, Xin Li, Zhizheng Zhang, Xin Jin, Zhibo Chen:
Learned Block-based Hybrid Image Compression. - Huan Qing, Jingli Wang:
Estimating mixed-memberships using the Symmetric Laplacian Inverse Matrix. - Pavel S. Prudnikov:
Speed of convergence of Chernoff approximations for two model examples: heat equation and transport equation. - Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou:
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction. - Tim Krake, Stefan Reinhardt, Marcel Hlawatsch, Bernhard Eberhardt, Daniel Weiskopf:
Visualization and Selection of Dynamic Mode Decomposition Components for Unsteady Flow. - Robert R. Tucci:
Quantum d-separation and quantum belief propagation. - Fabien Jacques:
On the chromatic numbers of signed triangular and hexagonal grids. - Davide Ferrari, Angela Sara Cacciapuoti, Michele Amoretti, Marcello Caleffi:
Compiler Design for Distributed Quantum Computing. - Manuel López-Radcenco, Jean-Marc Delouis, Laurent Vibert:
SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps. - Jonas Rohnke, Thomas Merritt, Jaime Lorenzo-Trueba, Adam Gabrys, Vatsal Aggarwal, Alexis Moinet, Roberto Barra-Chicote:
Parallel WaveNet conditioned on VAE latent vectors. - Michael Kagan:
Image-Based Jet Analysis. - Cong Han, Yi Luo, Chenda Li, Tianyan Zhou, Keisuke Kinoshita, Shinji Watanabe, Marc Delcroix, Hakan Erdogan, John R. Hershey, Nima Mesgarani, Zhuo Chen:
Continuous Speech Separation Using Speaker Inventory for Long Multi-talker Recording. - Satish Kumar Panda, Haris Cheong, Tin Aung Tun, Sripad Krishna Devella, Ramaswami Krishnadas, Martin L. Buist, Shamira A. Perera, Ching Yu Cheng, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard:
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence. - T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis:
Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. - Fabian Bach:
Differential privacy and noisy confidentiality concepts for European population statistics. - Marco de Angelis, Marco Behrendt, Liam A. Comerford, Yuanjin Zhang, Michael Beer:
Forward interval propagation through the Fourier discrete transform. - Amparo Gil, Javier Segura, Nico M. Temme:
A new asymptotic representation and inversion method for the Student's t distribution. - Chinonso Nwankwo, Weizhong Dai:
Explicit RKF-Compact Scheme for Pricing Regime Switching American Options with Varying Time Step. - Edward Raff:
Research Reproducibility as a Survival Analysis. - Alejandro Schuler, David Walsh, Diana Hall, Jon Walsh, Charles Fisher:
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score. - Anthony S. Tai, Chunfeng Huang:
Guiding Neural Network Initialization via Marginal Likelihood Maximization. - Giovanni Ometto, Giovanni Montesano, Usha Chakravarthy, Frank Kee, Ruth E. Hogg, David P. Crabb:
Fast 3-dimensional estimation of the Foveal Avascular Zone from OCTA. - Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. - Li Wang, Zhenya Yan:
Data-driven rogue waves and parameter discovery in the defocusing NLS equation with a potential using the PINN deep learning. - Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Samuel J. Raymond, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael Zeineh, Gerald A. Grant:
Prediction of brain strain across head impact subtypes using 18 brain injury criteria. - Hiram H. López, Ivan Soprunov, Rafael H. Villarreal:
The dual of an evaluation code. - Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi, Amitava Datta:
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree. - Li-Chin Yeh, Ing-Guey Jiang:
Searching for Possible Exoplanet Transits from BRITE Data through a Machine Learning Technique. - Yuan Sun, Samuel Esler, Dhananjay R. Thiruvady, Andreas T. Ernst, Xiaodong Li, Kerri Morgan:
Instance Space Analysis for the Car Sequencing Problem. - Shota Horiguchi, Paola García, Yusuke Fujita, Shinji Watanabe, Kenji Nagamatsu:
End-to-End Speaker Diarization as Post-Processing. - Yu-Wen Chen, Sourav Medya, Yi-Chun Chen:
Investigating the Ground-level Ozone Formation and Future Trend in Taiwan. - Hironori Hidaka, Yusuke Monno, Masatoshi Okutomi:
Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution. - Nicholas Krämer, Philipp Hennig:
Stable Implementation of Probabilistic ODE Solvers. - Andreas Prohl, Yanqing Wang:
Strong Rates of Convergence for Space-Time Discretization of the Backward Stochastic Heat Equation, and of a Linear-Quadratic Control Problem for the Stochastic Heat Equation. - Haizhou Liu, Lun Yang, Xinwei Shen, Qinglai Guo, Hongbin Sun, Mohammad Shahidehpour:
A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow. - David Peter, Wolfgang Roth, Franz Pernkopf:
Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. - Ioan Gabriel Bucur, Tom Claassen, Tom Heskes:
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. - Diego Goldsztajn, Sem C. Borst, Johan S. H. van Leeuwaarden:
Learning and balancing time-varying loads in large-scale systems. - José Morano, Álvaro S. Hervella, Noelia Barreira, Jorge Novo, José Rouco:
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation. - Ville Salo:
Graph and wreath products of cellular automata. - Masahiko Ueda:
Controlling conditional expectations by zero-determinant strategies. - Pierre L'Ecuyer, Pierre Marion, Maxime Godin, Florian Puchhammer:
A Tool for Custom Construction of QMC and RQMC Point Sets. - Johanna Vielhaben, Nils Strodthoff:
Generative Neural Samplers for the Quantum Heisenberg Chain. - Yue Xing, Ruizhi Zhang, Guang Cheng:
Adversarially Robust Estimate and Risk Analysis in Linear Regression. - Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers, Klaus Fliessbach, Wenzel Glanz, John D. Haynes, Michael T. Heneka, Daniel Janowitz, Deniz Baris Keles, Ingo Kilimann, Christoph Laske, Franziska Maier, Coraline D. Metzger, Matthias H. Munk, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Björn H. Schott, Annika Spottke, Eike J. Spruth, Marc-André Weber, Birgit Ertl-Wagner, Michael Wagner, Jens Wiltfang, Frank Jessen, Stefan J. Teipel:
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease. - Matthias Templ:
Artificial Neural Networks to Impute Rounded Zeros in Compositional Data. - Holger Heitsch, René Henrion:
An enumerative formula for the spherical cap discrepancy. - Rahul Singh:
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments. - H. S. Jacinto, A. Matthew Smith:
Utilizing a Fully Optical and Reconfigurable PUF as a Quantum Authentication Mechanism. - M. Lytova, Michael Spanner, Isaac Tamblyn:
Deep learning and high harmonic generation. - Leonard Vance, Jekan Thangavelautham:
Development of Techniques Enabling Suborbital Small Object Capture Around Low Gravity Asteroids. - Weiwen Jiang, Jinjun Xiong, Yiyu Shi:
When Machine Learning Meets Quantum Computers: A Case Study. - Jorge Vicent, Jochem Verrelst, Juan Pablo Rivera Caicedo, Neus Sabater, Jordi Muñoz-Marí, Gustau Camps-Valls, José F. Moreno:
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. - Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, Gustau Camps-Valls:
A deep network approach to multitemporal cloud detection. - Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho:
Deep Learning for Climate Model Output Statistics. - David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. - Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí, Gustau Camps-Valls:
Cloud detection machine learning algorithms for PROBA-V. - Gabriel Turinici:
Convergence dynamics of Generative Adversarial Networks: the dual metric flows. - Alberto Bemporad, Gionata Cimini:
Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems. - Fabian Böhm, Thomas Van Vaerenbergh, Guy Verschaffelt, Guy van der Sande:
Suppressing amplitude inhomogeneity enhances computational performance of Ising machines: why the choice of nonlinearity matters. - Dan Garber, Atara Kaplan:
On the Efficient Implementation of the Matrix Exponentiated Gradient Algorithm for Low-Rank Matrix Optimization. - Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker:
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks. - Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick:
Identifying the latent space geometry of network models through analysis of curvature. - Roberto Cavoretto, Alessandra De Rossi, Wolfgang Erb:
Partition of Unity Methods for Signal Processing on Graphs. - Matin Macktoobian, Ricardo Araújo, Loïc Grossen, Luzius Kronig, Mohamed Bouri, Denis Gillet, Jean-Paul Kneib:
Experimental evaluation of complete safe coordination of astrobots for Sloan Digital Sky Survey V. - Yasar Sinan Nasir, Dongning Guo:
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks. - Penelope Jones, Fabian Coupette, Andreas Härtel, Alpha A. Lee:
Bayesian unsupervised learning reveals hidden structure in concentrated electrolytes. - Shaojun Wu, Shan Jin, Dingding Wen, Xiaoting Wang:
Quantum reinforcement learning in continuous action space. - Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir:
CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels. - Huixiang Huang, Renjie Wu, Jingbiao Huang, Jucai Lin:
DCCRGAN: Deep Complex Convolution Recurrent Generator Adversarial Network for Speech Enhancement. - Dai Feng, Richard Baumgartner:
(Decision and regression) tree ensemble based kernels for regression and classification. - Aliaksei Mikhailiuk, María Pérez-Ortiz, Dingcheng Yue, Wilson Suen, Rafal K. Mantiuk:
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality. - Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan:
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. - Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius:
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem. - Ghurumuruhan Ganesan:
Recursive methods for some problems in coding and random permutations. - Kai-Chun Liu, Michael Chan, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao:
Domain-adaptive Fall Detection Using Deep Adversarial Training. - Long Chen, Xuehai Huang:
Discrete Hessian complexes in three dimensions. - Zheng Xie:
A distributed hypergraph model for the full-scale simulation of the collaborations in dblp. - V. Roshan Joseph, Akhil Vakayil:
SPlit: An Optimal Method for Data Splitting. - Yutong Cai, Yong Wang:
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation. - Jiaqing Jiang, Kun Wang, Xin Wang:
Physical Implementability of Quantum Maps and Its Application in Error Mitigation. - Syed Ale Hassan, Shahzad Akbar, Amjad Rehman, Tanzila Saba, Rashid Abbasi:
Recent Developments in Detection of Central Serous Retinopathy through Imaging and Artificial Intelligence Techniques A Review. - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Auto-Encoded Reservoir Computing for Turbulence Learning. - Kenric P. Nelson:
Independent Approximates enable closed-form estimation of heavy-tailed distributions. - Marek Bojko:
The Probabilistic Serial and Random Priority Mechanisms with Minimum Quotas. - Giacomo Cavalieri, Dario Maio:
A Quantum Edge Detection Algorithm. - Nathalie Aubrun, Michael Schraudner:
Tilings of the hyperbolic plane of substitutive origin as subshifts of finite type on Baumslag-Solitar groups BS(1, n). - Zhaoli Guo:
Well-balanced lattice Boltzmann equation for two-phase flows. - Jianfeng Lu, Lihan Wang:
Complexity of zigzag sampling algorithm for strongly log-concave distributions. - Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian:
Unfolded Algorithms for Deep Phase Retrieval. - Jean Li, Jeremiah D. Deng, Divya Adhia, Dirk De Ridder:
Resting-state EEG sex classification using selected brain connectivity representation. - Xiong Cai, Zhiyong Wu, Kuo Zhong, Bin Su, Dongyang Dai, Helen Meng:
Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network. - Muneki Yasuda, Kaiji Sekimoto:
Spatial Monte Carlo Integration with Annealed Importance Sampling. - Yi Ding, Wei Zheng, Guozheng Wu, Ji Geng, Mingsheng Cao, Zhiguang Qin:
A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views? - Tahira Iqbal, Arslan Shaukat, Usman Akram:
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review. - Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Real-time Aggregate Flexibility via Reinforcement Learning. - Ronaldo Garcia, Dan Reznik:
Family Ties: Relating Poncelet 3-Periodics by their Properties. - Loïc Omnes, Antoine Marot, Benjamin Donnot:
Adversarial training for continuous robustness control problem in power systems. - Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar:
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis. - Carey A. Whitehair, Michelle A. K. Denlinger, Hosam K. Fathy:
Pulse-and-Glide Driving with Drivability Constraints: A Pontryagin Approach. - Alexandros Gilch, Michael Griebel, Jens Oettershagen:
Multilevel Approximation for Generalized Method of Moments Estimators. - Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney:
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. - Congmin Chen, Xuanqin Mou:
A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals. - Jeremy D. Watson, Yemi Ojo, Khaled Laib, Ioannis Lestas:
A scalable control design for grid-forming inverters in microgrids. - Helge I. Andersson, Elena Celledoni, Laurel Ohm, Brynjulf Owren, Benjamin K. Tapley:
An integral model based on slender body theory, with applications to curved rigid fibers. - Nikola Banic, Neven Elezovic:
TVOR: Finding Discrete Total Variation Outliers among Histograms. - Mustafa Ghaderzadeh, Farkhondeh Asadi:
Deep Learning in Detection and Diagnosis of Covid-19 using Radiology Modalities: A Systematic Review. - Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens:
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines. - Quynh Nguyen, Marco Mondelli, Guido Montúfar:
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks. - Wei Cui, Wei Yu:
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer. - Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu:
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations. - Stephen Whitelam, Isaac Tamblyn:
Neuroevolutionary learning of particles and protocols for self-assembly. - Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. - Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh:
Selective Forgetting of Deep Networks at a Finer Level than Samples. - Aksh Garg, Sana Salehi, Marianna La Rocca, Rachael Garner, Dominique Duncan:
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT. - Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan:
Deep learning-based virtual refocusing of images using an engineered point-spread function. - Nils Wandel, Michael Weinmann, Reinhard Klein:
Fast Fluid Simulations in 3D with Physics-Informed Deep Learning. - Micha Sharir, Noam Solomon:
On rich points and incidences with restricted sets of lines in 3-space. - Shanaka Ramesh Gunasekara, HNTK Kaldera, Maheshi B. Dissanayake:
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images. - Alessandro Rudi, Ulysse Marteau-Ferey, Francis R. Bach:
Finding Global Minima via Kernel Approximations. - Daryus Chandra, Angela Sara Cacciapuoti, Marcello Caleffi, Lajos Hanzo:
Noiseless Direct Quantum Communications in the Face of Noisy Entanglement. - Vladimir N. Temlyakov, Tino Ullrich:
Approximation of functions with small mixed smoothness in the uniform norm. - Moritz Herrmann, Fabian Scheipl:
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction. - Ugur Çogalan, Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models. - Aleksandar Mijatovic, Veno Mramor, Gerónimo Uribe Bravo:
An algorithm for simulating Brownian increments on a sphere. - João Paulo Costalonga, Robert J. Kingan, Sandra R. Kingan:
Constructing minimally 3-connected graphs. - Arthur Bikeev:
Towards a short proof of the Fulek-Kynčl criterion for modulo 2 embeddability of graphs to surfaces. - Matteo Giordano, Kolyan Ray:
Nonparametric Bayesian inference for reversible multi-dimensional diffusions. - Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli:
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction. - Ilyas Ibrahim Iliyas, Isah Rambo Saidu, Ali Baba Dauda, Suleiman Tasiu:
Prediction of Chronic Kidney Disease Using Deep Neural Network. - Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for geophysical parameter retrieval. - Stefan Doerr, Maciej Majewski, Adrià Pérez, Andreas Krämer, Cecilia Clementi, Frank Noé, Toni Giorgino, Gianni De Fabritiis:
TorchMD: A deep learning framework for molecular simulations. - Igal Sason:
An Information-Theoretic Proof of a Bound on the Number of Independent Sets in Bipartite Graphs. - (Withdrawn) Non-autoregressive electron flow generation for reaction prediction.
- Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina:
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks. - Md. Saiful Islam, Md Sarowar Morshed, Md. Noor-E-Alam:
Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference. - Yerim Song, Joshua A. Grochow:
An Improved Algorithm for Coarse-Graining Cellular Automata. - Carlo Alberini, Raffaela Capitanelli, Stefano Finzi Vita:
A numerical study of an Heaviside function driven degenerate diffusion equation. - Faramarz Naderi Darbaghshahi, Mohammad Reza Mohammadi, Mohsen Soryani:
Cloud removal in remote sensing images using generative adversarial networks and SAR-to-optical image translation. - Yinzhe Wu, Suzan Hatipoglu, Diego Alonso-Álvarez, Peter Gatehouse, David N. Firmin, Jennifer Keegan, Guang Yang:
Automated Multi-Channel Segmentation for the 4D Myocardial Velocity Mapping Cardiac MR. - Anindya De, Shivam Nadimpalli, Rocco A. Servedio:
Quantitative Correlation Inequalities via Semigroup Interpolation. - Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger:
Iteratively Reweighted Least Squares for 𝓁1-minimization with Global Linear Convergence Rate. - Rose K. Cersonsky, Benjamin A. Helfrecht, Edgar A. Engel, Michele Ceriotti:
Improving Sample and Feature Selection with Principal Covariates Regression. - Oylum Seker, Neda Tanoumand, Merve Bodur:
Digital Annealer for quadratic unconstrained binary optimization: a comparative performance analysis. - Jakob Drefs, Enrico Guiraud, Jörg Lücke:
Evolutionary Variational Optimization of Generative Models. - Antti Haimi, Günther Koliander, José Luis Romero:
Zeros of Gaussian Weyl-Heisenberg functions and hyperuniformity of charge. - Anja Dakic, Markus Hofer, Benjamin Rainer, Stefan Zelenbaba, Laura Bernadó, Thomas Zemen:
Real-Time Vehicular Wireless System-Level Simulation. - Erfan Nozari, Jennifer Stiso, Lorenzo Caciagli, Eli J. Cornblath, Xiaosong He, Maxwell A. Bertolero, Arun S. Mahadevan, George J. Pappas, Danielle S. Bassett:
Is the brain macroscopically linear? A system identification of resting state dynamics. - Qing Ye, Weijun Xie:
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms. - Samuel C. Gutekunst, David P. Williamson:
The Circlet Inequalities: A New, Circulant-Based Facet-Defining Inequality for the TSP. - Soumyadip Ghosh, Mark S. Squillante:
Unbiased Gradient Estimation for Distributionally Robust Learning. - Catherine Babecki:
Codes, Cubes, and Graphical Designs. - Ugur Tegin, Mustafa Yildirim, Ilker Oguz, Christophe Moser, Demetri Psaltis:
Scalable Optical Learning Operator. - Benjamin Maas, Erfan Zabeh, Soroush Arabshahi:
QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors. - Jelica Vasiljevic, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert:
Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks. - Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior. - Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-Contrast Computed Tomography Healthy Kidney Atlas. - Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser:
Partial Identifiability in Discrete Data With Measurement Error. - Arash Farokhi Soofi, Saeed D. Manshadi:
Demand Variation Impact on Tightness of Convex Relaxation Approaches for the ACOPF Problem. - Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel:
Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs. - Miaomiao Wang, Abdelhamid Tayebi:
Hybrid Feedback for Global Attitude Tracking. - Huayu Li, Haiyu Wu, Xiwen Chen, Hanning Zhang, Abolfazl Razi:
Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention. - Eman AbdelMaksoud, Sherif I. Barakat, Mohammed Elmogy:
Diabetic Retinopathy Grading System Based on Transfer Learning. - Alice Allen, Siddha Mavuram, Robert J. Nemiroff, Judy Schmidt, Peter J. Teuben:
Making organizational software easier to find in ASCL and ADS. - Hongtao Kang, Die Luo, Weihua Feng, Li Chen, Junbo Hu, Shaoqun Zeng, Tingwei Quan, Xiuli Liu:
StainNet: a fast and robust stain normalization network. - Zhen Zhang, Dave Cliff:
Market Impact in Trader-Agents: Adding Multi-Level Order-Flow Imbalance-Sensitivity to Automated Trading Systems. - Jiulou Zhang, Yuxia Tang, Shouju Wang:
GANDA: A deep generative adversarial network predicts the spatial distribution of nanoparticles in tumor pixelly. - Tobias Lehmann, Max-K. von Renesse, Alexander Sambale, André Uschmajew:
A note on overrelaxation in the Sinkhorn algorithm. - Lena Leitenmaier, Olof Runborg:
Homogenization of the Landau-Lifshitz equation. - Nirabhra Mandal, Pavankumar Tallapragada:
Dynamics of a Stratified Population of Optimum Seeking Agents on a Network - Part I: Modeling and Convergence Analysis. - Nirabhra Mandal, Pavankumar Tallapragada:
Dynamics of a Stratified Population of Optimum Seeking Agents on a Network - Part II: Steady State Analysis. - Jon Cockayne, Ilse C. F. Ipsen, Chris J. Oates, Tim W. Reid:
Probabilistic Iterative Methods for Linear Systems. - Antonio Fernández-Romero, Francisco Guillén-González, Antonio Suárez:
Theoretical and numerical analysis for a hybrid tumor model with diffusion depending on vasculature. - Paul Desbordes, Diksha, Benoît Macq:
Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer. - Tianhan Zhang, Yaoyu Zhang, Weinan E, Yiguang Ju:
A deep learning-based ODE solver for chemical kinetics. - Patrik Schönfeldt, Adrian Grimm, Bhawana Neupane, Herena Torio, Pedro Duran, Peter Klement, Benedikt Hanke, Karsten von Maydell, Carsten Agert:
Simultaneous optimisation of temperature and energy in linear energy system models. - Ming Du, Saugat Kandel, Junjing Deng, Xiaojing Huang, Arnaud Demortiere, Tuan Tu Nguyen, Rémi Tucoulou, Vincent De Andrade, Qiaoling Jin, Chris Jacobsen:
Adorym: A multi-platform generic x-ray image reconstruction framework based on automatic differentiation. - Jingzhe Guo, Mingsheng Ying:
Software Pipelining for Quantum Loop Programs. - Candelaria Mosquera, Facundo Nahuel Diaz, Fernando Binder, Jose Martin Rabellino, Sonia Elizabeth Benítez, Alejandro Daniel Beresñak, Alberto Seehaus, Gabriel Ducrey, Jorge Alberto Ocantos, Daniel Roberto Luna:
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures. - Sumukh Surya, Janamejaya Channegowda, Kali Naraharisetti:
Generalized Circuit Averaging Technique for Two Switch DC-DC Converters. - Xiaonan Liu, Xinyu Li, Yansha Deng:
Learning-based Prediction and Uplink Retransmission for Wireless Virtual Reality (VR) Network. - Filip Lemic, Sergi Abadal, Jeroen Famaey:
Toward Localization in Terahertz-Operating Energy Harvesting Software-Defined Metamaterials: Context Analysis. - Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis:
Learning emergent PDEs in a learned emergent space. - Qian Zhang, Xinyuan Zhao, Chao Ding:
Matrix optimization based Euclidean embedding with outliers. - Arash Farokhi Soofi, Saeed D. Manshadi:
Strategic Bidding in Electricity Markets with Convexfied AC Power Flow Constraints. - Ricardo P. Masini, Marcelo C. Medeiros, Eduardo F. Mendes:
Machine Learning Advances for Time Series Forecasting. - Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet:
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm. - Andréanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu:
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning. - Robert Cardona, Eva Miranda, Daniel Peralta-Salas, Francisco Presas:
Constructing Turing complete Euler flows in dimension 3. - Zhaolong Wu, Shuwen Zhang, Wei Li Wang, Yinping Ma, Yuanchen Dong, Youdong Mao:
Deep manifold learning reveals hidden dynamics of proteasome autoregulation. - Ulrich Bauer, Maximilian Schmahl:
The Structure of Morphisms in Persistent Homology, I. Functorial Dualities. - Maciej Skorski:
A Modern Analysis of Hutchinson's Trace Estimator. - Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh:
Lattice gauge equivariant convolutional neural networks. - Mattes Mollenhauer, Péter Koltai:
Nonparametric approximation of conditional expectation operators. - Viktor Bezborodov, Luca Di Persio, Riccardo Muradore:
Minimal controllability time for systems with nonlinear drift under a compact convex state constraint. - Colin Cooper, Martin E. Dyer, Catherine S. Greenhill:
A triangle process on regular graphs. - Sebastian Dürr, Josephine van Delden, Buenyamin Oezkaya, Peter A. Gloor:
Eurythmic Dancing with Plants - Measuring Plant Response to Human Body Movement in an Anthroposophic Environment. - Shinji Watanabe, Florian Boyer, Xuankai Chang, Pengcheng Guo, Tomoki Hayashi, Yosuke Higuchi, Takaaki Hori, Wen-Chin Huang, Hirofumi Inaguma, Naoyuki Kamo, Shigeki Karita, Chenda Li, Jing Shi, Aswin Shanmugam Subramanian, Wangyou Zhang:
The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans. - Kang Du, Yu Xiang:
Causal Inference Using Linear Time-Varying Filters with Additive Noise. - Deniz Sargun, C. Emre Koksal:
Quickest Detection over Sensor Networks with Unknown Post-Change Distribution. - Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. - Lavanya Umapathy, Gloria Guzman Perez-Carillo, Blair Winegar, Srinivasan Vedantham, Maria I. Altbach, Ali Bilgin:
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative. - Md. Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa:
Self-Supervised Representation Learning for Astronomical Images. - Eric Han, Ishank Arora, Jonathan Scarlett:
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models. - Sundar Shrestha, Anand Koirala, Maksym Spiryagin, Qing Wu:
Wheel-Rail Interface Condition Estimation (W-RICE). - Dong An, Di Fang, Lin Lin:
Time-dependent unbounded Hamiltonian simulation with vector norm scaling. - Muhammad Waseem, Saeed D. Manshadi:
An AGC Reformulation for the Decomposed Security-Constrained ACOPF Problem. - Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs:
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms. - Yangyang Qu, Kai Chen, Chao Liu, Yongsheng Ou:
UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement. - Kyriakos Schwarz, Ahmed Allam, Nicolas Andres Perez Gonzalez, Michael Krauthammer:
AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions. - Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni:
Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data. - Sander Borst, Daniel Dadush, Neil Olver, Makrand Sinha:
Majorizing Measures for the Optimizer. - Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh:
On Statistical Efficiency in Learning. - Naoki Masuda, Joel C. Miller, Petter Holme:
Concurrency measures in the era of temporal network epidemiology: A review. - Silvia Taccola, Aliria Poliziani, Daniele Santonocito, Alessio Mondini, Christian Denk, Alessandro Noriaki Ide, Markus Oberparleiter, Francesco Greco, Virgilio Mattoli:
Toward the use of temporary tattoo electrodes for impedancemetric respiration monitoring and other electrophysiological recordings. - Yangyang Qu, Chao Liu, Yongsheng Ou:
LEUGAN: Low-Light Image Enhancement by Unsupervised Generative Attentional Networks. - Panagiotis Andrianesis, Michael C. Caramanis, William W. Hogan:
Computation of Convex Hull Prices in Electricity Markets with Non-Convexities using Dantzig-Wolfe Decomposition. - Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. - Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols:
Solving Mixed Integer Programs Using Neural Networks. - Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar:
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. - Dimitra C. Antonopoulou, Marina Bitsaki, Georgia D. Karali:
The multi-dimensional Stochastic Stefan Financial Model for a portfolio of assets. - Zhuohuang Zhang, Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Donald S. Williamson, Dong Yu:
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation. - Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage:
Gradient-free quantum optimization on NISQ devices. - Amy X. Lu, Alex X. Lu, Alan M. Moses:
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning. - Ivano Lodato, Snehal M. Shekatkar, Tian An Wong:
On partial information retrieval: the unconstrained 100 prisoner problem. - Huimei Han, Wenchao Zhai, Weidang Lu, Xinyuan Yang, Liping Qian, Jun Zhao:
LSTM-Aided Hybrid Random Access Scheme for 6G Heterogeneous MTC Networks. - Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. - Dibakar Das, Shiva Kumar Malapaka, Jyotsna Bapat, Debabrata Das:
A Proactive Connection Setup Mechanism for Large Quantum Networks. - Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
Using the Naive Bayes as a discriminative classifier. - Chirath Dasanayaka, Maheshi Buddhinee Dissanayake:
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays. - Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb:
COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images. - Bram van Berlo, Amany Elkelany, Tanir Ozcelebi, Nirvana Meratnia:
Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks. - Stefan Kiefer, Richard Mayr, Mahsa Shirmohammadi, Patrick Totzke:
Transience in Countable MDPs. - Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng:
Variance Reduction on Adaptive Stochastic Mirror Descent. - Frank Gurski, Dominique Komander, Marvin Lindemann:
Efficient computation of the oriented chromatic number of recursively defined digraphs. - Gang Huang, Xiaohua Zhou, Qingyang Song:
Deep reinforcement learning for portfolio management. - Sarah Gingichashvili, Dani Lischinski:
Evaluation and Comparison of Edge-Preserving Filters. - Shi Chen, Qin Li:
Semi-classical limit of an inverse problem for the Schrödinger equation. - Jim de Groot, Dirk Pattinson:
Modal meet-implication logic. - Xiaoqiang Hua, Yusuke Ono, Linyu Peng, Yongqiang Cheng, Hongqiang Wang:
Target Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors. - Jun Ma:
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation. - Wataru Kumagai, Akiyoshi Sannai:
Universal Approximation Theorem for Equivariant Maps by Group CNNs. - Chang-Hwan Son:
Structure-Aware Layer Decomposition Learning Based on Gaussian Convolution Model for Inverse Halftoning. - Xin Hu, Yanfei Zhong, Chang Luo, Xinyu Wang:
WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification. - Baoliang Chen, Lingyu Zhu, Guo Li, Hongfei Fan, Shiqi Wang:
Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment. - Yufeng Zheng, Zeyu Zheng:
Doubly Stochastic Generative Arrivals Modeling. - Mostafa Ibrahim, Kevin Bryson:
Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning. - Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana:
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX. - Qinghua Sun, Kenji Nagamatsu:
Building Multi lingual TTS using Cross Lingual Voice Conversion. - Hardeep Bassi, Richard P. Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu:
Learning to predict synchronization of coupled oscillators on heterogeneous graphs. - Ethan Cotterill, Cristhian Garay, Johana Luviano:
Using tropical differential equations. - Hidekazu Yoshioka, Motoh Tsujimura, Yuta Yaegashi:
Analytical and numerical solutions to ergodic control problems arising in environmental management. - James Bird, Kellan Colburn, Linda R. Petzold, Philip Lubin:
Model Optimization for Deep Space Exploration via Simulators and Deep Learning. - Huangjie Zheng, Mingyuan Zhou:
ACT: Asymptotic Conditional Transport. - Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. - Gerardo Arizmendi, Octavio Arizmendi:
The energy game. - Mundher Al-Shabi, Kelvin Shak, Maxine Tan:
3D Axial-Attention for Lung Nodule Classification. - Yichi Zhang:
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI. - Peyman Tahghighi, Reza A. Zoroofi, Sare Safi, Alireza Ramezani:
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning. - Heng Liu, Jianyong Liu, Tao Tao, Shudong Hou, Jungong Han:
Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN. - Zahra Baghali Khanian:
From Quantum Source Compression to Quantum Thermodynamics. - Maryam Dialameh, Ali Hamzeh, Hossein Rahmani, Amir Reza Radmard, Safoura Dialameh:
Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19. - Jun Ma, Xiaoping Yang:
Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images. - Sabari Nathan, Priya Kansal:
Lesion Net - Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units. - Manash Pratim Das, Larry H. Matthies, Shreyansh Daftry:
Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras. - Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing:
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. - Martin Grohe, Pascal Schweitzer, Daniel Wiebking:
Automorphism groups of graphs of bounded Hadwiger number. - Li-Min Wang, Hsing-Yi Lai, Sun-Ting Tsai, Shan-Jyun Wu, Meng-Xue Tsai, Daw-Wei Wang, Yi-Ching Su, Chen Siang Ng, Tzay-Ming Hong:
Mechanism of Evolution Shared by Gene and Language. - Abhranil Das, Wilson S. Geisler:
A method to integrate and classify normal distributions. - Yuan Feng, Hexiang Wang, Han Yang, Fangbo Wang:
Time-Continuous Energy-Conservation Neural Network for Structural Dynamics Analysis. - Bo Feng, Geoffrey C. Fox:
TSEQPREDICTOR: Spatiotemporal Extreme Earthquakes Forecasting for Southern California. - Fabien Péan, Philippe Favre, Orcun Goksel:
Computational Analysis of Subscapularis Tears and Pectoralis Major Transfers on Muscular Activity. - Tiziana Carpi, Airo Hino, Stefano Maria Iacus, Giuseppe Porro:
On a Japanese Subjective Well-Being Indicator Based on Twitter data. - Alessandro Brusaferri, Matteo Matteucci, Stefano Spinelli, Andrea Vitali:
Probabilistic electric load forecasting through Bayesian Mixture Density Networks. - Jing Wang, Bernardo A. Huberman:
A Guide to Global Quantum Key Distribution Networks. - Varad Deshmukh, Thomas Berger, James D. Meiss, Elizabeth Bradley:
Shape-based Feature Engineering for Solar Flare Prediction. - Vishwanath Saragadam, Michael DeZeeuw, Richard G. Baraniuk, Ashok Veeraraghavan, Aswin C. Sankaranarayanan:
SASSI - Super-Pixelated Adaptive Spatio-Spectral Imaging. - Van-Khoa Nguyen, Santiago Agudelo:
Synergy between Observation Systems Oceanic in Turbulent Regions. - Jorge F. Lazo, Sara Moccia, Emanuele Frontoni, Elena De Momi:
Comparison of different CNNs for breast tumor classification from ultrasound images. - Sergei Kiselev, Andrey Kupavskii:
Trivial colors in colorings of Kneser graphs. - Jiahao Guo, Pramesh Singh, Kevin E. Bassler:
Resolution limit revisited: community detection using generalized modularity density. - Jun Ma:
Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI. - Munir Hiabu, Enno Mammen, Joseph T. Meyer:
Random Planted Forest: a directly interpretable tree ensemble. - Yutian Chen, Xiaowei Xu, Dewen Zeng, Yiyu Shi, Haiyun Yuan, Jian Zhuang, Yuhao Dong, Qianjun Jia, Meiping Huang:
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis. - Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. - Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning. - Lei Yang, Xinbo Geng, Xiaohong Guan, Lang Tong:
Deferrable Load Scheduling under Demand Charge: A Block Model-Predictive Control Approach. - Alper Atamtürk, Andrés Gómez:
Supermodularity and valid inequalities for quadratic optimization with indicators. - Xiaowei Xing, Dong Eui Chang:
The Adaptive Dynamic Programming Toolbox. - Juhani Karhumäki, Svetlana Puzynina, Markus A. Whiteland:
On Abelian Closures of Infinite Non-binary Words. - Tom Achache, Lior Horesh, John A. Smolin:
Denoising quantum states with Quantum Autoencoders - Theory and Applications. - Qianqian Pan, Jun Wu, Xi Zheng, Jianhua Li, Shenghong Li, Athanasios V. Vasilakos:
Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT. - Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach:
Present-Biased Optimization. - Valerie Phi van, Franca Schmid, Georg Spinner, Sebastian Kozerke, Christian Federau:
Simulation of Intravoxel Incoherent Perfusion Signal Using a Realistic Capillary Network of a Mouse Brain. - Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer. - Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, Grzegorz Beringer, Jaime Lorenzo-Trueba, Alicja Serafinowicz, Jasha Droppo, Thomas Drugman, Bozena Kostek:
Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention. - Harri Merisaari, Christian Federau:
Signal to Noise and b-value Analysis for Optimal Intra-Voxel Incoherent Motion Imaging in the Brain. - Xin-Long Luo, Hang Xiao, Jia-hui Lv, Sen Zhang:
Explicit continuation methods and preconditioning techniques for unconstrained optimization problems. - Roger Andrew Sauer, Thang X. Duong, Kranthi K. Mandadapu:
A chemo-mechano-thermodynamical contact theory for adhesion, friction, lubrication and (de)bonding reactions. - Dong Xia, Anru R. Zhang, Yuchen Zhou:
Inference for Low-rank Tensors - No Need to Debias. - Raazesh Sainudiin, Warwick Tucker, Tilo Wiklund:
Scalable Multivariate Histograms. - Paolo Santonastaso, Ferdinando Zullo:
Linearized trinomials with maximum kernel. - Wenxin Jiang:
Statistical Formulas for F Measures. - Yaroslav Balytskyi, Manohar Raavi, Anatoliy Pinchuk, Sang-Yoon Chang:
$\mathcal{PT}$-Symmetric Unambiguous Distinguishing of Three Quantum States. - Alexey Bufetov, Peter Nejjar:
Cutoff profile of ASEP on a segment. - Mihai Cucuringu, Hemant Tyagi:
An extension of the angular synchronization problem to the heterogeneous setting. - Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. - Mikhail Genkin, Owen Hughes, Tatiana A. Engel:
Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories. - Wei Vivian Li, Xin Tong, Jingyi Jessica Li:
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification. - Federico Landini, Ján Profant, Mireia Díez, Lukás Burget:
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks. - Haishan Ye, Wei Xiong, Tong Zhang:
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction. - Wei Xiang Lim, Zhiyuan Chen, Amr Ahmed, Tissa Chandesa, Iman Yi Liao:
A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System. - Linfan Zhang, Arash A. Amini:
Adjusted chi-square test for degree-corrected block models. - Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, Sam Kwong:
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network. - Wei He, Naoto Yokoya, Xin Yuan:
Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging. - Jun Ma, Ziwei Nie:
Exploring Large Context for Cerebral Aneurysm Segmentation. - Yongtao Zhang, Hongshen Zhang, Mincheng Wu, Shibo He, Yi Fang, Yanggang Cheng, Zhiguo Shi, Cunqi Shao, Chao Li, Songmin Ying, Zhenyu Gong, Yu Liu, Xinjiang Ye, Jinlai Chen, Youxian Sun, Ji-ming Chen, Harry Eugene Stanley:
Universal Urban Spreading Pattern of COVID-19 and Its Underlying Mechanism. - Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanov:
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks. - Christian Klein, Svetlana Roudenko, Nikola M. Stoilov:
Numerical study of soliton stability, resolution and interactions in the 3D Zakharov-Kuznetsov equation. - Debesh Jha, Steven Alexander Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. - Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. - Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar:
Automatic Polyp Segmentation using U-Net-ResNet50. - Carolin Hannusch, S. Roland Major:
Even latin squares of order 10. - You-Lin Chen, Zhaoran Wang, Mladen Kolar:
Provably Training Neural Network Classifiers under Fairness Constraints. - Laura Mora Ballestar, Verónica Vilaplana:
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. - Zardad Khan, Naz Gul, Nosheen Faiz, Asma Gul, Werner Adler, Berthold Lausen:
Optimal trees selection for classification via out-of-bag assessment and sub-bagging. - Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Sébastien Guenneau, Bruno Lombard, Cédric Bellis:
Time-domain investigation of a cylindrical acoustic external cloak. - Jillian M. Clements, Di Xu, Nooshin Yousefi, Dmitry Efimov:
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data. - Florian Gerber, Douglas W. Nychka:
Fast covariance parameter estimation of spatial Gaussian process models using neural networks. - Ilya B. Shapirovsky:
Satisfiability problems on sums of Kripke frames. - Peter Borg, Carl Feghali:
The maximum sum of sizes of cross-intersecting families of subsets of a set. - Marcos Oliveira:
More crime in cities? On the scaling laws of crime and the inadequacy of per capita rankings - a cross-country study. - Hajar Emami, Qiong Liu, Ming Dong:
FREA-Unet: Frequency-aware U-net for Modality Transfer. - Agrim Gupta, Cedric Girerd, Manideep Dunna, Qiming Zhang, Raghav Subarraman, Tania K. Morimoto, Dinesh Bharadia:
Wi-Chlorian: Wireless sensing and localization of contact forces on a space continuum. - Chiranjibi Sitaula, Sunil Aryal:
New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis. - Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen:
Curriculum-based Deep Reinforcement Learning for Quantum Control. - Boris N. Oreshkin:
Adaptive filters for the moving target indicator system. - Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang:
Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray. - Vincent Roulet, Zaïd Harchaoui:
Differentiable Programming à la Moreau. - Sipu Ruan, Gregory S. Chirikjian:
Closed-Form Minkowski Sums of Convex Bodies with Smooth Positively Curved Boundaries. - Thomas Y. Hou, Zhenzhen Li, Ziyun Zhang:
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization. - Atsushi Nitanda, Denny Wu, Taiji Suzuki:
Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis. - Seunghoon Lee, Chanho Park, Song-Nam Hong, Yonina C. Eldar, Namyoon Lee:
Bayesian Federated Learning over Wireless Networks. - José A. Carrillo, Lin Chen, Qi Wang:
An Optimal Mass Transport Method for Random Genetic Drift. - Zhi-Qin Zhan, Huazhu Fu, Yan-Yao Yang, Jingjing Chen, Jie Liu, Yu-Gang Jiang:
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos. - Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang:
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation. - Karina I. Mazzitello, Yi Jiang, Constancio M. Arizmendi:
Optimising SARS-CoV-2 pooled testing strategies on social networks for low-resource settings. - Geovani Rizk, Igor Colin, Albert Thomas, Moez Draief:
Refined bounds for randomized experimental design. - Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley, Tanmoy Bhattacharya:
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture. - Seyed Ehsan Hosseininejad, Kasra Rouhi, Mohammad Neshat, Albert Cabellos-Aparicio, Sergi Abadal, Eduard Alarcón:
Digital Metasurface Based on Graphene: An Application to Beam Steering in Terahertz Plasmonic Antennas. - Samiya A. Alkhairy, Christopher A. Shera:
An analytic physically motivated model of the mammalian cochlea. - Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham A. Wright:
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study. - Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra:
Neural Network Approximations for Calabi-Yau Metrics. - Anatoly Dymarsky, Alfred Shapere:
Comments on the holographic description of Narain theories. - Daniel Schaden, Elisabeth Ullmann:
Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators. - James D. Watson, Johannes Bausch, Sevag Gharibian:
The Complexity of Translationally Invariant Problems beyond Ground State Energies. - Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atilim Günes Baydin:
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning. - Alexandru Cojocaru, Juan A. Garay, Aggelos Kiayias, Fang Song, Petros Wallden:
Post-Quantum Security of the Bitcoin Backbone and Quantum Multi-Solution Bernoulli Search. - Florian Hörsch, Zoltán Szigeti:
Connectivity of orientations of 3-edge-connected graphs. - Florian Hörsch, Zoltán Szigeti:
Packing of mixed hyperarborescences with flexible roots via matroid intersection. - Shmuel Onn:
On Line Sum Optimization. - Renan Alves de Oliveira, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel:
Fast and Accurate Non-Linear Predictions of Universes with Deep Learning. - Chang Chen, Yin Li, Francisco Villaescusa-Navarro, Shirley Ho, Anthony Pullen:
Learning the Evolution of the Universe in N-body Simulations. - Ojas Parekh, Kevin Thompson:
Beating Random Assignment for Approximating Quantum 2-Local Hamiltonian Problems. - Shouvanik Chakrabarti, Rajiv Krishnakumar, Guglielmo Mazzola, Nikitas Stamatopoulos, Stefan Woerner, William J. Zeng:
A Threshold for Quantum Advantage in Derivative Pricing. - Denys Dutykh, Jean-Louis Verger-Gaugry:
Alphabets, rewriting trails and periodic representations in algebraic bases. - Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li:
Forecasting: theory and practice. - Apostolos Chalkis, Vissarion Fisikopoulos, Elias P. Tsigaridas, Haris Zafeiropoulos:
Geometric algorithms for sampling the flux space of metabolic networks.
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