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ORCIDCoRR, February 2021
- Abderrazak Chahid
, Ibrahima N'Doye, John E. Majoris, Michael L. Berumen, Taous-Meriem Laleg-Kirati:
Model Predictive Control Paradigms for Fish Growth Reference Tracking in Precision Aquaculture. - Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery: a Review. - Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter:
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. - Joseph Lubars, Anna Winnicki, Michael Livesay, R. Srikant:
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure. - Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi:
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. - Soya Park, April Yi Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky:
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. - Erik Burman, Peter Hansbo, Mats G. Larson:
Error estimates for the Smagorinsky turbulence model: enhanced stability through scale separation and numerical stabilization. - Soham Chakraborty, Sourav Patel, Murti V. Salapaka:
Recovery of Power Flow to Critical Infrastructures using Mode-dependent Droop-based Inverters. - Hemant Kumar Aggarwal, Mathews Jacob:
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator. - Meir Feder, Yury Polyanskiy:
Sequential prediction under log-loss and misspecification. - Aleksander Czechowski, Georgios Piliouras:
Poincaré-Bendixson Limit Sets in Multi-Agent Learning. - Xiaohan Kang, Bruce E. Hajek:
Lower Bounds on Information Requirements for Causal Network Inference. - Michael Chiu, Uros Kalabic:
Debt Representation in UTXO Blockchains. - Jae Shin Yoon, Kihwan Kim, Jan Kautz, Hyun Soo Park:
Neural 3D Clothes Retargeting from a Single Image. - Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei:
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. - Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. - Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox:
Reduced operator inference for nonlinear partial differential equations. - Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. - Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. - Amjad Dehman, Bilal Farooq:
Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs. - Ling Huang, Su Ruan, Thierry Denoeux:
Belief function-based semi-supervised learning for brain tumor segmentation. - Sangjun Lee, Byung-Cheol Min:
Distributed Control of Multi-Robot Systems in the Presence of Deception and Denial of Service Attacks. - Henrique Ferraz de Arruda, Felipe Maciel Cardoso, Guilherme Ferraz de Arruda, Alexis R. Hernandez, Luciano da F. Costa, Yamir Moreno:
Modeling how social network algorithms can influence opinion polarization. - Hailiang Liu, Zhongming Wang, Peimeng Yin, Hui Yu:
Positivity-preserving third order DG schemes for Poisson--Nernst--Planck equations. - Nathan Clement, Alan Schoen, Arnold P. Boedihardjo, Andrew Jenkins:
Synthetic Data and Hierarchical Object Detection in Overhead Imagery. - Melven Röhrig-Zöllner, Jonas Thies, Achim Basermann:
Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors. - Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson, David W. Parker, Alison L. Marsden:
On the periodicity of cardiovascular fluid dynamics simulations. - Jasmine Sekhon, Cody H. Fleming:
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction. - Yixuan Wu, Yanzhi Zhang:
A universal solution scheme for fractional and classical PDEs. - Parker B. Edwards, Jonathan D. Hauenstein, Clifford D. Smyth:
Certified evaluations of Hölder continuous functions at roots of polynomials. - Konpal Shaukat Ali, Ekram Hossain, Md. Jahangir Hossain:
Partial Non-Orthogonal Multiple Access (NOMA) in Downlink Poisson Networks. - Maruan Al-Shedivat, Liam Li, Eric Poe Xing, Ameet Talwalkar:
On Data Efficiency of Meta-learning. - Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova:
The effect of differential victim crime reporting on predictive policing systems. - Donald M. Stull:
The Dimension Spectrum Conjecture for Planar Lines. - Guanghui Lan:
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. - Ivan V. Bajic:
Latent-Space Inpainting for Packet Loss Concealment in Collaborative Object Detection. - Shahram Mollahasani, Melike Erol-Kantarci, Mahdi Hirab, Hoda Dehghan, Rodney Wilson:
Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks. - Roel Van Beeumen, Lana Perisa, Daniel Kressner, Chao Yang:
A Flexible Power Method for Solving Infinite Dimensional Tensor Eigenvalue Problems. - Mingliang Xiong, Mingqing Liu, Qingwei Jiang, Jie Zhou, Qingwen Liu, Hao Deng:
Retro-Reflective Beam Communications with Spatially Separated Laser Resonator. - Haruya Sakashita, Christoph Flothow, Noriko Takemura, Yusuke Sugano:
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation. - Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. - Zhengzhong Tu, Chia-Ju Chen, Li-Heng Chen, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models. - Alexander Zeier, Alexander Wiesmaier, Andreas Heinemann:
Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte. - Soravitt Sangnark, Phairot Autthasan, Puntawat Ponglertnapakorn, Phudit Chalekarn, Thapanun Sudhawiyangkul, Manatsanan Trakulruangroj, Sarita Songsermsawad, Rawin Assabumrungrat, Supalak Amplod, Kajornvut Ounjai, Theerawit Wilaiprasitporn:
Revealing Preference in Popular Music Through Familiarity and Brain Response. - S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee:
Deep Model Compression based on the Training History. - Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. - Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai:
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. - Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? - Chao Li, Balaji Palanisamy, Runhua Xu, Jinlai Xu, Jingzhe Wang:
SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform. - Tiffany Hwu, Mia Levy, Steven Skorheim, David Huber:
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction. - Letizia Jaccheri, Cristina Pereira, Swetlana Fast:
Gender Issues in Computer Science: Lessons Learnt and Reflections for the Future. - (Withdrawn) Coupling innovation method and feasibility analysis of garbage classification.
- Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni:
Rapid detection of fast innovation under the pressure of COVID-19. - Yaoyu Zhang, Tao Luo, Zheng Ma, Zhi-Qin John Xu:
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks. - Andres Ferraro, Yuntae Kim, Soohyeon Lee, Biho Kim, Namjun Jo, Semi Lim, Suyon Lim, Jungtaek Jang, Sehwan Kim, Xavier Serra, Dmitry Bogdanov:
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging. - Gang Peng, Zhenyu Ren, Hao Wang, Xinde Li:
A self-supervised learning-based 6-DOF grasp planning method for manipulator. - Christian M. Dahl, Emil N. Sørensen:
Time Series (re)sampling using Generative Adversarial Networks. - George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. - Jaime Moraga, Gurbet Gurkan, H. Sebnem Düzgün:
Monitoring the Impacts of a Tailings Dam Failure Using Satellite Images. - Nikita P. Desai, Vipul K. Dabhi:
Taxonomic survey of Hindi Language NLP systems. - Ari Pakman, Dar Gilboa, Elad Schneidman:
Estimating the Unique Information of Continuous Variables. - Jiawei Zhang, Yanchun Zhang, Xiaowei Xu:
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation. - Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements within Asynchronous Task-based Runtime Systems: A Double White Dwarf Merger as an Application. - Tong Guo:
Learning From How Human Correct. - Matteo Macchini, Manana Lortkipanidze, Fabrizio Schiano, Dario Floreano:
The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation. - Radu Dogaru, Ioana Dogaru:
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. - Chengwei Zhang, Yangzhou Jiang, Wei Zhang, Chengyu Gu:
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing. - Pranali Bora, Tulika Awalgaonkar, Himanshu Palve, Raviraj Joshi, Purvi Goel:
ICodeNet - A Hierarchical Neural Network Approach for Source Code Author Identification. - Ruo Li, Wei Zhong:
An efficient mapped WENO scheme using approximate constant mapping. - Xuejun Li, Ran Ding, Xiao Liu, Jia Xu, Yun Yang, John C. Grundy:
EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems. - Lekshmi Ramesh, Chandra R. Murthy, Himanshu Tyagi:
Phase Transition for Support Recovery from Gaussian Linear Measurements. - Rutuja Taware, Shraddha Varat, Gaurav Salunke, Chaitanya Gawande, Geetanjali Kale, Rahul Khengare, Raviraj Joshi:
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models. - Qing-Long Zhang, Yu-Bin Yang:
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks. - Shilun Lin, Fenglong Xie, Xinhui Li, Li Lu:
Triple M: A Practical Neural Text-to-speech System With Multi-guidance Attention And Multi-band Multi-time Lpcnet. - Yiqiu Dong, Chunlin Wu, Shi Yan:
A fast method for simultaneous reconstruction and segmentation in X-ray CT application. - Sebastian Vizcay, Panagiotis Kourtesis, Ferran Argelaguet, Claudio Pacchierotti, Maud Marchal:
Electrotactile Feedback in Virtual Reality For Precise and Accurate Contact Rendering. - Sabah Al-Fedaghi:
Conceptual Temporal Modeling Applied to Databases. - Jakob Stolberg-Larsen, Stefan Sommer:
Atlas Generative Models and Geodesic Interpolation. - Joanna Grzyb, Jakub Klikowski, Michal Wozniak:
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification. - Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. - Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya:
EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction. - Rafael F. Reale, Walter da Costa Pinto Neto, Joberto S. B. Martins:
BAMSim Simulator. - William W. Howard, Charles E. Thornton, Anthony F. Martone, R. Michael Buehrer:
Multi-player Bandits for Distributed Cognitive Radar. - Eva Vanmassenhove, Dimitar Sht. Shterionov, Matthew Gwilliam:
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation. - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. - Wen-Chin Huang, Chia-Hua Wu, Shang-Bao Luo, Kuan-Yu Chen, Hsin-Min Wang, Tomoki Toda:
Speech Recognition by Simply Fine-tuning BERT. - Seyed Ziae Mousavi Mojab, Seyedmohammad Shams, Hamid Soltanian-Zadeh, Farshad Fotouhi:
Epistocracy Algorithm: A Novel Hyper-heuristic Optimization Strategy for Solving Complex Optimization Problems. - Chris Hobbs, Waqar Ahmed:
Using Bayesian Modelling to Predict Software Incidents. - Ian Colbert, Jake Daly, Kenneth Kreutz-Delgado, Srinjoy Das:
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications? - Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler:
Deep Learning-Based Scene Simplification for Bionic Vision. - Jeremy Barnes, Lilja Øvrelid, Erik Velldal:
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations. - Mahbubur Rahman, Dali Ismail, Venkata P. Modekurthy, Abusayeed Saifullah:
LPWAN in the TV White Spaces: A Practical Implementation and Deployment Experiences. - Wendson A. S. Barbosa, Aaron Griffith, Graham E. Rowlands, Luke C. G. Govia, Guilhem J. Ribeill, Minh-Hai Nguyen, Thomas A. Ohki, Daniel J. Gauthier:
Symmetry-Aware Reservoir Computing. - Violet Xinying Chen, John N. Hooker:
Fairness through Optimization. - Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. - Gal Vardi, Daniel Reichman, Toniann Pitassi, Ohad Shamir:
Size and Depth Separation in Approximating Natural Functions with Neural Networks. - Pedram Fekri, Ali Akbar Safavi, Mehrdad Hosseini Zadeh, Peyman Setoodeh:
Metalearning: Sparse Variable-Structure Automata. - Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Efficient CNN Building Blocks for Encrypted Data. - Orestis Papadigenopoulos, Constantine Caramanis:
Recurrent Submodular Welfare and Matroid Blocking Bandits. - Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal:
A Supervised Learning Approach for Robust Health Monitoring using Face Videos. - Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. - Mauro Maggioni, Jason Miller, Hongda Qiu, Ming Zhong:
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds. - Li Zhou, Gilles Barthe, Justin Hsu, Mingsheng Ying, Nengkun Yu:
A Quantum Interpretation of Bunched Logic for Quantum Separation Logic. - Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh:
Deep Reinforcement Learning-Based Product Recommender for Online Advertising. - Benjamin Capps, Jacob Schrum:
Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man. - Prosenjit Bose, Pilar Cano, Rolf Fagerberg, John Iacono, Riko Jacob, Stefan Langerman:
Fragile Complexity of Adaptive Algorithms. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Enacted Visual Perception: A Computational Model based on Piaget Equilibrium. - Mir Lodro, Steve Greedy, Sirio Belga Fedeli, Christopher Smartt, Ana Vukovic, David W. P. Thomas, Gabriele Gradoni:
Statistical Characterization of Wireless MIMO Channels in Mode-Stirred Enclosures. - Xue-Lei Lin, Michael K. Ng, Yajing Zhi:
A parallel-in-time two-sided preconditioning for all-at-once system from a non-local evolutionary equation with weakly singular kernel. - Lingtong Kong, Xiaohang Yang, Jie Yang:
OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow. - Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang:
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. - Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm. - Yunkai Yu, Zhihong Yang, Yuyang You, Guozheng Liu, Peiyao Li, Zhicheng Yang, Wenjing Shan:
Spectral Roll-off Points: Estimating Useful Information Under the Basis of Low-frequency Data Representations. - Wei Jiang, Buyang Li:
A perimeter-decreasing and area-conserving algorithm for surface diffusion flow of curves. - Wissam Kontar, Soyoung Ahn:
Real-time Monitoring of Autonomous Vehicle's Time Gap Variations: A Bayesian Framework. - Bing Wei, Kuangrong Hao, Lei Gao:
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images. - Yishuai Li, Benjamin C. Pierce, Steve Zdancewic:
Model-Based Testing of Networked Applications. - Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. - Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang:
A Unified Light Framework for Real-time Fault Detection of Freight Train Images. - Ruchit Agrawal, Daniel Wolff, Simon Dixon:
Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks. - Yiming Peng, Hisao Ishibuchi:
Niching Diversity Estimation for Multi-modal Multi-objective Optimization. - Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. - Lanbo Lin, Yujiu Yang, Zhenhua Guo:
AACP: Model Compression by Accurate and Automatic Channel Pruning. - Majid Asgari-Bidhendi, Behrooz Janfada, Amir Havangi, Sayyed-Ali Hossayni, Behrouz Minaei-Bidgoli:
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages. - Liqun Yang, Yijun Yang, Yao Wang, Zhenyu Yang, Wei Zeng:
The distance between the weights of the neural network is meaningful. - Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. - Ralf R. Müller, Bernhard Gäde, Ali Bereyhi:
Linear Computation Coding. - Pooja Nayak Muralidhar, B. Sundar Rajan:
Multi-access Coded Caching from a New Class of Cross Resolvable Designs. - Wenzhuo Yang, Yipeng Zhou, Miao Hu, Di Wu, James Xi Zheng, Hui Wang, Song Guo:
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning. - Sagor Sarker:
BNLP: Natural language processing toolkit for Bengali language. - Wenyuan Kong, Teng Fei, Thom Jencks:
Emotion and color in paintings: a novel temporal and spatial quantitative perspective. - Jie Yang, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht:
Tone Mapping Based on Multi-scale Histogram Synthesis. - Zhi Chen, Fan Yang, Wenbing Tao:
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences. - Arieh Iserles, Karolina Kropielnicka, Katharina Schratz, Marcus Webb:
Solving the linear semiclassical Schrödinger equation on the real line. - Michael Thomas Knierim, Christoph Berger, Pierluigi Reali:
Open-Source Concealed EEG Data Collection for Brain-Computer-Interfaces - Real-World Neural Observation Through OpenBCI Amplifiers with Around-the-Ear cEEGrid Electrodes. - Pranay Lohia:
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness. - Hendrik Speleers:
Computation of multi-degree Tchebycheffian B-splines. - Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung:
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. - Sven Hofmann:
A Trust-Based Approach for Volunteer-Based Distributed Computing in the Context of Biological Simulation. - Reza Hadi Mogavi, Xiaojuan Ma, Pan Hui:
Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites. - Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. - Mark Standke, Abdullah Kiwan, Annalena Lange, Silvan Berg:
Introduction of a novel word embedding approach based on technology labels extracted from patent data. - Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung:
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification. - Jules Talloen, Joni Dambre, Alexander Vandesompele:
PyTorch-Hebbian: facilitating local learning in a deep learning framework. - Adam Polyak, Lior Wolf, Yossi Adi, Ori Kabeli, Yaniv Taigman:
High Fidelity Speech Regeneration with Application to Speech Enhancement. - Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir:
The Connection Between Approximation, Depth Separation and Learnability in Neural Networks. - Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He:
Admix: Enhancing the Transferability of Adversarial Attacks. - Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang:
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. - Pengrui Quan, Ruiming Guo, Mani B. Srivastava:
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss. - Nikita Puchkin, Nikita Zhivotovskiy:
Exponential Savings in Agnostic Active Learning through Abstention. - Alexander Bentkamp, Jasmin Blanchette, Sophie Tourret, Petar Vukmirovic, Uwe Waldmann:
Superposition with Lambdas. - Yiming Lei, Hongming Shan, Junping Zhang:
Meta ordinal weighting net for improving lung nodule classification. - Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: Effective summary statistics for convolutional outputs in time series classification. - Neo C. K. Yiu:
Toward Blockchain-Enabled Supply Chain Anti-Counterfeiting and Traceability. - Eliseu Silva Torres, Rafael F. Reale, Leobino N. Sampaio, Joberto S. B. Martins:
A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model. - Bruno Jardim, Ricardo Rei, Mariana S. C. Almeida:
Multilingual Email Zoning. - Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. - Kelly B. Wagman, Lisa Parks:
Beyond the Command: Feminist STS Research and Critical Issues for the Design of Social Machines. - Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits:
Adversarial Contrastive Pre-training for Protein Sequences. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Mixup Regularized Adversarial Networks for Multi-Domain Text Classification. - Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. - Anthony C. Constantinou, Zhigao Guo, Neville Kenneth Kitson:
Information fusion between knowledge and data in Bayesian network structure learning. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
New Type I Binary [72, 36, 12] Self-Dual Codes from Composite Matrices and R1 Lifts. - Steven T. Dougherty, Adrian Korban, Serap Sahinkaya, Deniz Ustun:
Group Matrix Ring Codes and Constructions of Self-Dual Codes. - Yichun Hu, Nathan Kallus, Masatoshi Uehara:
Fast Rates for the Regret of Offline Reinforcement Learning. - Alejandro Bellogín, Alan Said:
Improving Accountability in Recommender Systems Research Through Reproducibility. - Stefan Horoi, Jessie Huang, Guy Wolf, Smita Krishnaswamy:
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs. - Hirak Doshi, N. Uday Kiran:
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow. - Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour:
Online Markov Decision Processes with Aggregate Bandit Feedback. - Nicolas Boullé, Alex Townsend:
Learning elliptic partial differential equations with randomized linear algebra. - Simone Stella, Christian Vergara, Massimiliano Maines, Domenico Catanzariti, Pasquale Claudio Africa, Cristina Demattè, Maurizio Centonze, Fabio Nobile, Maurizio Del Greco, Alfio Quarteroni:
Integration of activation maps of epicardial veins in computational cardiac electrophysiology. - Felix Brandt, Martin Bullinger, Patrick Lederer:
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions. - James M. Murphy, Sam L. Polk:
A Multiscale Environment for Learning by Diffusion. - Farnoosh Heidary, Mehran Yazdi, Maryam Dehghani, Peyman Setoodeh:
Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention. - Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai, Ioannis Katsavounidis, C.-C. Jay Kuo:
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design. - Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. - Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath:
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. - Xiaodong Jia, Bert Lindenhovius, Michael W. Mislove, Vladimir Zamdzhiev:
Commutative Monads for Probabilistic Programming Languages. - Edgard Chammas, Chafic Mokbel:
Fine-tuning Handwriting Recognition systems with Temporal Dropout. - John Bostanci, John Watrous:
Quantum game theory and the complexity of approximating quantum Nash equilibria. - Ghassan Samara:
Lane prediction optimization in VANET. - Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-point Kalman Smoothers. - Sirvan Rahmati, Tianshi Lu:
Superconvergence of discontinuous Galerkin method for scalar and vector linear advection equations. - Sagi Marcovich, Eitan Yaakobi:
The Zero Cubes Free and Cubes Unique Multidimensional Constraints. - Saksham Consul, Lovis Heindrich, Jugoslav Stojcheski, Falk Lieder:
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning. - Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. - Victor Costa, Nuno Lourenço, João Correia, Penousal Machado:
Demonstrating the Evolution of GANs through t-SNE. - Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. - Alexandre K. Ligo, Alexander Kott, Igor Linkov:
How to Measure Cyber Resilience of an Autonomous Agent: Approaches and Challenges. - Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh:
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. - Xi Yu, Shujian Yu, José C. Príncipe:
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional. - Siqiao Ruan, Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework. - Robert Beinert, Marzieh Hasannasab:
Phase Retrieval via Polarization in Dynamical Sampling. - Di He, Lei Xie:
CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics. - Leonid Pugachev, Mikhail Burtsev:
Short Text Clustering with Transformers. - Erik C. Rye, Robert Beverly, kc claffy:
Follow the Scent: Defeating IPv6 Prefix Rotation Privacy. - Meng Liu, Keqiang Yan, Bora Oztekin, Shuiwang Ji:
GraphEBM: Molecular Graph Generation with Energy-Based Models. - Victoire Djimna Noyum, Younous Perieukeu Mofenjou, Cyrille Feudjio, Alkan Göktug, Ernest Fokoué:
Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction. - Siddhartha Srivastava, Veera Sundararaghavan:
Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing. - Xun Liu, Hossein Rastgoftar:
Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia. - Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste:
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. - Akash Kumar, C. Seshadhri, Andrew Stolman:
Random walks and forbidden minors III: poly(d/ε)-time partition oracles for minor-free graph classes. - Weiran Cai, Belgin San-Akca, Jordan Snyder, Grayson Gordon, Zeev Maoz, Raissa M. D'Souza:
Quantifying the Global Support Network for Non-State Armed Groups (NAGs). - Mohamed R. Ibrahim, James Haworth, Nicola Christie, Tao Cheng:
CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning. - Hassan Moussa:
Using Recursive KMeans and Dijkstra Algorithm to Solve CVRP. - Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh:
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development. - Sayak Mukherjee, Veronica Adetola:
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. - Ruolin Wang, Zixuan Chen, Mingrui Ray Zhang, Zhaoheng Li, Zhixiu Liu, Zihan Dang, Chun Yu, Xiang 'Anthony' Chen:
Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users. - Karthik Mahadevan, Maurício Sousa, Anthony Tang, Tovi Grossman:
"Grip-that-there": An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration. - Lewis Hammond, Alessandro Abate, Julian Gutierrez, Michael J. Wooldridge:
Multi-Agent Reinforcement Learning with Temporal Logic Specifications. - Lijun Lyu, Maria Koutraki, Martin Krickl, Besnik Fetahu:
Neural OCR Post-Hoc Correction of Historical Corpora. - Xiao Lu, Mohammad Salehi, Martin Haenggi, Ekram Hossain, Hai Jiang:
Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial. - Demetrios Lambropoulos, Mohammad Yousefvand, Narayan B. Mandayam:
Tale of Seven Alerts: Enhancing Wireless Emergency Alerts (WEAs) to Reduce Cellular Network Usage During Disasters. - Maia L. Jacobs, Jeffrey He, Melanie F. Pradier, Barbara D. Lam, Andrew C. Ahn, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos:
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens. - Weijie Chen, Yilu Guo, Shicai Yang, Zhaoyang Li, Zhenxin Ma, Binbin Chen, Long Zhao, Di Xie, Shiliang Pu, Yueting Zhuang:
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection. - Pan Tan, Cuiling Fan, Cunsheng Ding, Zhengchun Zhou:
The minimum linear locality of linear codes. - Zhizhong Huang, Junping Zhang, Hongming Shan:
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning. - Nathan M. White, Timothy Henry-Rodriguez:
The Harrington Yowlumne Narrative Corpus. - Zimo Zhu, Gang Chen, Xiaoping Xie:
Semi-discrete and fully discrete HDG methods for Burgers' equation. - Uddalok Sarkar, Sayan Nag, Medha Basu, Archi Banerjee, Shankha Sanyal, Ranjan Sengupta, Dipak Ghosh:
Neural Network architectures to classify emotions in Indian Classical Music. - Dan Wan, Hao Zhan:
The Controllability of Planning, Responsibility, and Security in Automatic Driving Technology. - Yi Shi, Congyi Wang, Yu Chen, Bin Wang:
Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning. - Gabriel Lima, Nina Grgic-Hlaca, Meeyoung Cha:
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making. - Lei Li, Yongfeng Zhang, Li Chen:
Learning to Explain Recommendations. - Musthaq Ahamed, P. D. S. H. Gunawardane, Nimali T. Medagedara:
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian Gait. - Scott H. Hawley, Andrew C. Morrison:
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums. - Meimei Shang, Fei Gao, Xiang Li, Jingjie Zhu, Lingna Dai:
Bridging Unpaired Facial Photos And Sketches By Line-drawings. - Geonho Han, Sucheol Kim, Junil Choi:
Multi-Vehicle Velocity Estimation Using IEEE 802.11ad Waveform. - Sameer Sundrani, James Lu:
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data. - Hoang-Dung Bui, Hung Manh La:
Control and Navigation Framework for a Hybrid Steel Bridge Inspection Robot. - Zhen Wang, Guopeng Zhang, Qiu Wang, Kezhi Wang, Kun Yang:
Completion Time Minimization in Wireless-Powered UAV-Assisted Data Collection System (Full Version). - Elie F. Kfoury, Jorge Crichigno, Elias Bou-Harb:
An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends. - Jiangpeng He, Runyu Mao, Zeman Shao, Janine L. Wright, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu:
An End-to-End Food Image Analysis System. - Xianzhi Zhang, Yipeng Zhou, Di Wu, Miao Hu, James Xi Zheng, Min Chen, Song Guo:
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach. - Raj Chaganti, Deepti Gupta, Naga Vemprala:
Intelligent Network Layer for Cyber-Physical Systems Security. - Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang:
Rescuing Deep Hashing from Dead Bits Problem. - Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Forecasting Action through Contact Representations from First Person Video. - Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang:
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective. - Zhicheng Liang, Deborah L. McGuinness:
Commonsense Knowledge Mining from Term Definitions. - Lin Zhao, Changsheng Chen, Jiwu Huang:
Deep Learning-based Forgery Attack on Document Images. - Shun Zhang, Benfei Duan, Zhili Chen, Hong Zhong:
Regionalized location obfuscation mechanism with personalized privacy levels. - Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. - Pedro H. J. Nardelli, Majid Hussein, Arun Narayanan, Yongheng Yang:
Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing. - Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh:
Towards Speeding up Adversarial Training in Latent Spaces. - Wanchun Liu, Xin Zang, Branka Vucetic, Yonghui Li:
Over-the-Air Computation with Spatial-and-Temporal Correlated Signals. - Ning Zhang, Weina Wang, Lele Wang:
Attributed Graph Alignment. - Fengzhen Tang, Haifeng Feng, Peter Tiño, Bailu Si, Daxiong Ji:
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices. - Lei Yu, Venkat Anantharam, Jun Chen:
Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity. - Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. - Jayam Patel, Tyagaraja Ramaswamy, Zhi Li, Carlo Pinciroli:
Direct and Indirect Communication in Multi-Human Multi-Robot Interaction. - Xiaodong Mei, Yuxiang Sun, Yuying Chen, Congcong Liu, Ming Liu:
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. - Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. - Hang Gao, Mengting Hu, Renhong Cheng, Tiegang Gao:
Hierarchical Ranking for Answer Selection. - Shida Lei, Nan Lu, Gang Niu, Issei Sato, Masashi Sugiyama:
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification. - Sidun Fang, Chenxu Wang, Yashen Lin, Changhong Zhao:
Optimizing Power-Water-Heat Flows via Decomposed Iterative Convex Approximation. - Rushuang Xu, MyeongAh Cho, Sangyoun Lee:
A NIR-to-VIS face recognition via part adaptive and relation attention module. - Yuxuan Liu, Yixuan Yuan, Ming Liu:
Ground-aware Monocular 3D Object Detection for Autonomous Driving. - Masato Tanaka, Tomomi Matsui:
New Formulation for Coloring Circle Graphs and its Application to Capacitated Stowage Stack Minimization. - Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. - Milad Sefidgaran, Aslan Tchamkerten:
Zero-Error Sum Modulo Two with a Common Observation. - Kevin Maik Jablonka, Fergus Mcilwaine, Susana Garcia, Berend Smit, Brian Yoo:
A reproducibility study of "Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space". - Casper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Finavaro Aniche:
Search-Based Software Re-Modularization: A Case Study at Adyen. - Vineet Gokhale, Gerardo Moyers Barrera, R. Venkatesha Prasad:
FEEL: Fast, Energy-Efficient Localization for Autonomous Indoor Vehicles. - Christophe Prud'Homme, Lorenzo Sala, Marcela Szopos:
Uncertainty propagation and sensitivity analysis: results from the Ocular Mathematical Virtual Simulator. - Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and comparing external measures for the assessment of cluster analysis and community detection. - Amos Korman, Robin Vacus:
Stochastic Alignment Processes. - Jian Zhang, Ying Tai, Taiping Yao, Jia Meng, Shouhong Ding, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji:
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System. - Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu:
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Robert Nasdala, Daniel Potts:
A note on transformed Fourier systems for the approximation of non-periodic signals. - Daniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann:
Video Transformer Network. - Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's α-Mutual Information. - Quentin Paletta, Guillaume Arbod, Joan Lasenby:
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images - an in-depth Analysis. - Tiago D. Perez, Malik Imran, Pablo Vaz, Samuel Pagliarini:
Side-Channel Trojan Insertion - a Practical Foundry-Side Attack via ECO. - Olivier Wintenberger:
Stochastic Online Convex Optimization; Application to probabilistic time series forecasting. - Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. - Alain Pétrowski:
Classifications based on response times for detecting early-stage Alzheimer's disease. - Gabriella Puppo, Matteo Semplice, Giuseppe Visconti:
Quinpi: integrating conservation laws with CWENO implicit methods. - Jason Z. Lin, Jelena Bradic:
Learning to Combat Noisy Labels via Classification Margins. - Elija Perrier:
Quantum Fair Machine Learning. - Felix Lucka, Mailyn Pérez-Liva, Bradley E. Treeby, Ben T. Cox:
High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversion. - Takayuki Nozaki:
Distance Enumerators for Number-Theoretic Codes. - RuiTianYi Lu:
Joint Beamforming and Phase Optimization in a Multi-user Communication System Composed of Dual Reconfigurable Intelligent Surfaces. - Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. - N. Prabhakaran, Pudhupalayam Marimuthu Balasubramaniam, P. RanjithKumar, S. Sheik Mohammed:
A Novel Collision Detection and Avoidance system for Midvehicle using Offset-based Curvilinear Motion. - Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya:
Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. - Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch:
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction. - Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction. - Ana Cristina Franco da Silva, Stefan Wagner, Eddie Lazebnik, Eyal Traitel:
Using a Cyber Digital Twin for Continuous Automotive Security Requirements Verification. - Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction. - Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-shot Image Classification with Multi-Facet Prototypes. - Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy, Meirav Galun:
Segmenting Microcalcifications in Mammograms and its Applications. - Inioluwa Deborah Raji, Genevieve Fried:
About Face: A Survey of Facial Recognition Evaluation. - Chi Jin, Qinghua Liu, Sobhan Miryoosefi:
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms. - Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. - Xiaowen Shan, Yangyang Shi, Xuhui Li:
A multiple-relaxation-time collision model by Hermite expansion. - Frank Hannig, Paolo Meloni, Matteo Spallanzani, Matthias Ziegler:
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021). - Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Manabu Okumura, Hiroya Takamura:
Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers. - Ali Mousavi, Mehrdad Jalali, Mahdi Yaghoubi:
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering. - Haokun Li, Bican Xia, Huiying Zhang, Tao Zheng:
Choosing the Variable Ordering for Cylindrical Algebraic Decomposition via Exploiting Chordal Structure. - Nikunj Gupta, G. Srinivasaraghavan, Swarup Kumar Mohalik, Matthew E. Taylor:
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging. - Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen:
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow. - Albert Weichselbraun, Jakob Steixner, Adrian M. P. Brasoveanu, Arno Scharl, Max C. Göbel, Lyndon J. B. Nixon:
Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications. - Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. - Koen Holtman:
Counterfactual Planning in AGI Systems. - (Withdrawn) Implicit Feedback-based Group Recommender System for Internet of Thing Applications.
- Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn:
Machine learning pipeline for battery state of health estimation. - Shufan Jiang, Rafael Angarita, Stephane Cormier, Francis Rousseaux:
Fine-tuning BERT-based models for Plant Health Bulletin Classification. - Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan:
F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad hoc Networks. - Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. - Dibakar Das:
Agent Based Virus Model using NetLogo: Infection Propagation, Precaution, Recovery, Multi-site Mobility and (Un)Lockdown. - Takashi Oya, Shigeo Morishima:
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing. - Carter Blum, Hao Liu, Hui Xiong:
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation. - Sanja Scepanovic, Sagar Joglekar, Stephen Law, Daniele Quercia:
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data. - Muhammad Umer Gurchani:
Crawling political communities in Twitter and extracting political affiliations. - Chenpeng Du, Kai Yu:
Mixture Density Network for Phone-Level Prosody Modelling in Speech Synthesis. - Annunziato Siviglia, Davide Vanzo, Eleuterio F. Toro:
A splitting scheme for the coupled Saint-Venant-Exner model. - Ilona M. Kulikovskikh, Tarzan Legovic:
Painless step size adaptation for SGD. - Nicolas Vercheval, Aleksandra Pizurica:
Hierarchical Variational Autoencoder for Visual Counterfactuals. - Chuyu Xiong:
Sampling and Complexity of Partition Function. - Guilhem Lacombe, Kseniia Masalygina, Anass Tahiri, Carole Adam, Cédric Lauradoux:
Can You Accept LaTeX Files from Strangers? Ten Years Later. - Shunsuke Kurima:
Time discretization of a nonlocal phase-field system with inertial term. - Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Self-Supervised Equivariant Scene Synthesis from Video. - Ilaria Castellani, Mariangiola Dezani-Ciancaglini, Paola Giannini:
Global types and event structure semantics for asynchronous multiparty sessions. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez:
Cyclic Orbit Flag Codes. - Henk Grent, Aleksei Akimov, Maurício Finavaro Aniche:
Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen. - Qin Wang, Rujia Li:
A Weak Consensus Algorithm and Its Application to High-Performance Blockchain. - Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren:
Scaling Federated Learning for Fine-tuning of Large Language Models. - Nathanaël Fijalkow, Guillaume Lagarde:
The Complexity of Learning Linear Temporal Formulas from Examples. - Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä:
A Probabilistic Taylor Expansion with Applications in Filtering and Differential Equations. - Namid Stillman, Igor Balaz, Michail-Antisthenis I. Tsompanas, Marina Kovacevic, Sepinoud Azimi, Sébastien Lafond, Andrew Adamatzky, Sabine Hauert:
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment. - Thorsten Wittkopp, Alexander Acker:
Decentralized Federated Learning Preserves Model and Data Privacy. - Gülsen Eryigit, Ali Sentas, Johanna Monti:
Gamified Crowdsourcing for Idiom Corpora Construction. - Eduardo Gallo:
Stochastic High Fidelity Simulation and Scenarios for Testing of Fixed Wing Autonomous GNSS-Denied Navigation Algorithms. - Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah:
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. - Nora Kassner, Philipp Dufter, Hinrich Schütze:
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models. - Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware. - Michael Weiss, Paolo Tonella:
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. - Augusto Camargo, Wesley Carvalho, Felipe Peressim:
Text-to-hashtag Generation using Seq2seq Learning. - Benno van den Berg, Martijn den Besten:
Quadratic type checking for objective type theory. - Sean-Kelly Palicki, Shereen Fouad, Mariam Adedoyin-Olowe, Zahraa S. Abdallah:
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets. - Tommy Leung, L. Nathan Perkins:
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline. - Alireza Bahramali, Milad Nasr, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems. - Alexander Schlögl, Tobias Kupek, Rainer Böhme:
Forensicability of Deep Neural Network Inference Pipelines. - Yida Xin, Henry Lieberman, Peter Chin:
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge. - Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
On Secure Distributed Linearly Separable Computation. - Abdel-Nasser Sharkawy:
Human-Robot Interaction: Applications. - Gergely Neu:
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent. - Bernhard Klein, Christoph Gratl, Manfred Mücke, Holger Fröning:
Understanding Cache Boundness of ML Operators on ARM Processors. - Alberto Bernacchia:
Meta-learning with negative learning rates. - Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. - L. Beirão da Veiga, Franco Dassi, Gianmarco Manzini, Lorenzo Mascotto:
Virtual elements for Maxwell's equations. - Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs. - Yong Zhang, Mao Ye, Lin Guan:
QoS-aware Link Scheduling Strategy for Data Transmission in SDVN. - Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search. - Jan Glaubitz, Anne Gelb:
Stabilizing Radial Basis Function Methods for Conservation Laws Using Weakly Enforced Boundary Conditions. - Saeed H. Alsamhi, Brian Lee, Mohsen Guizani, Neeraj Kumar, Yuansong Qiao, Xuan Liu:
Blockchain for Decentralized Multi-Drone to Combat COVID-19. - Suryanarayana Sankagiri, Shreyas Gandlur, Bruce E. Hajek:
The Longest-Chain Protocol Under Random Delays. - Yan Wang, Shangde Gao, Wenyu Gao:
Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19. - Paul Ryan, Harshvardhan J. Pandit, Rob Brennan:
A Common Semantic Model of the GDPR Register of Processing Activities. - Bola Abimbola:
Cloud Computing Concept and Roots. - Moritz Wiese, Holger Boche:
Mosaics of combinatorial designs for information-theoretic security. - Johan Wästlund:
Faulty picture-hanging improved. - Aitzol Elu, Gorka Azkune, Oier Lopez de Lacalle, Ignacio Arganda-Carreras, Aitor Soroa, Eneko Agirre:
Inferring spatial relations from textual descriptions of images. - Ahmed N. Al-Quzweeni, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Optimized Energy Efficient Virtualization and Content Caching in 5G Networks. - William A. Dawson, Ruben Glatt, Edward Rusu, Braden C. Soper, Ryan A. Goldhahn:
Hybrid Information-driven Multi-agent Reinforcement Learning. - Craig Poulin, Michael B. Kane:
Infrastructure Resilience Curves: Performance Measures and Summary Metrics. - Yifeng Li, Hsu Kiang Ooi, Alain B. Tchagang:
Deep Evolutionary Learning for Molecular Design. - Stefanos Tsimenidis:
Evolutionary Algorithms for Fuzzy Cognitive Maps. - Valentin Pelloin, Nathalie Camelin, Antoine Laurent, Renato De Mori, Antoine Caubrière, Yannick Estève, Sylvain Meignier:
End2End Acoustic to Semantic Transduction. - Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. - Leonardo Solanilla, Erick S. Barreto, Viviana Morales:
A Brief Account of Klein's Icosahedral Extensions. - Carlos Pedroso, Yan Uehara de Moraes, Michele Nogueira, Aldri Santos:
Relational Consensus-Based Cooperative Task Allocation Management for IIoT-Health Networks. - Felix Gonda, Donglai Wei, Hanspeter Pfister:
Consistent Recurrent Neural Networks for 3D Neuron Segmentation. - Chenglong Wang, Yu Feng, Rastislav Bodík, Isil Dillig, Alvin Cheung, Amy J. Ko:
Falx: Synthesis-Powered Visualization Authoring. - Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama:
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition. - Filippo Andrea Fanni, Fabio Pellacini, Riccardo Scateni, Andrea Giachetti:
PAVEL: Decorative Patterns with Packed Volumetric Elements. - Tilsa Aryeni, Quanling Deng, Victor Ginting:
On the Application of Stable Generalized Finite Element Method for Quasilinear Elliptic Two-Point BVP. - Svea Wisy:
Simple Trust Metric in a Low-Power Sensor Network. - Tadeusz Kobus, Maciej Kokocinski, Pawel T. Wojciechowski:
Jiffy: A Lock-free Skip List with Batch Updates and Snapshots. - Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. - John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia:
Secrecy: Secure collaborative analytics on secret-shared data. - Sai Muralidhar Jayanthi, Akshat Gupta:
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification. - Makayla Moster, Denae Ford, Paige Rodeghero:
"Is My Mic On?" Preparing SE Students for Collaborative Remote Work and Hybrid Team Communication. - Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. - Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang:
Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. - Achal Dave, Piotr Dollár, Deva Ramanan, Alexander Kirillov, Ross B. Girshick:
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. - Pramod C. Mane, Nagarajan Krishnamurthy, Kapil Ahuja:
Resource Availability in the Social Cloud: An Economics Perspective. - Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. - Ghassan Samara:
Wireless Sensor Network MAC Energy - efficiency Protocols: A Survey. - Iuliana Marin, Ioana-Andreea Dinescu, Teodora-Coralia Deleanu, Lujain Alshikh Sulaiman, Sarmad Monadel Sabree Al-Gayar, Nicolae Goga:
Brain Performance Analysis based on an Electroencephalogram Headset. - Michael Chary, Ed W. Boyer, Michele M. Burns:
Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence. - Idan Amir, Tomer Koren, Roi Livni:
SGD Generalizes Better Than GD (And Regularization Doesn't Help). - Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. - Sukanya Pandey, Vibha Sahlot:
Role Coloring Bipartite Graphs. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu:
Moment Generating Function of the AoI in Multi-Source Systems with Computation-Intensive Status Updates. - Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao:
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. - Shlomo Dubnov:
Deep Music Information Dynamics. - K. M. Arefeen Sultan, Mohammad Imrul Jubair, Md. Nahidul Islam, Sayed Hossain Khan:
toon2real: Translating Cartoon Images to Realistic Images. - Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang:
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network. - Marzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi:
A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter. - Lisa Hellerstein, Devorah Kletenik, Srinivasan Parthasarathy:
A Tight Bound for Stochastic Submodular Cover. - Despina Christou, Grigorios Tsoumakas:
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings. - Mohammad Hesam Soleimani-Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, Rodrigo Sarlo:
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring. - Elyes Balti, Neji Mensi, Danda B. Rawat:
Temporal CSI Correlation in Mixed RF/FSO Cooperative Relaying Systems Under Joint Effects of HPA Nonlinearities and IQ Imbalance. - Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll:
Adjoint Rigid Transform Network: Self-supervised Alignment of 3D Shapes. - Hakima Bessaih, Annie Millet:
Strong rates of convergence of space-time discretization schemes for the 2D Navier-Stokes equations with additive noise. - Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao:
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness. - Amirreza Mousavi, Kiarash Aryankia, Rastko R. Selmic:
Cyber-Attack Detection in Discrete Nonlinear Multi-Agent Systems Using Neural Networks. - Karl Crary:
Verifying the Hashgraph Consensus Algorithm. - Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. - Hasan K. Naji, Iuliana Marin, Nicolae Goga, Cristian Taslitchi:
Novel Design and Implementation of a Vehicle Controlling and Tracking System. - Tony Zhao, Irving Fang, Jeffrey Kim, Gerald Friedland:
Multi-modal Ensemble Models for Predicting Video Memorability. - Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli:
On optimal relay placement in directional networks. - Junchuan Fan, Kathleen Stewart:
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics. - Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing:
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. - Youzhi Luo, Keqiang Yan, Shuiwang Ji:
GraphDF: A Discrete Flow Model for Molecular Graph Generation. - Xing Su, Yan Kong, Weihua Li:
The 4th International Workshop on Smart Simulation and Modelling for Complex Systems. - Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers:
Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry. - Kushal Lakhotia, Evgeny Kharitonov, Wei-Ning Hsu, Yossi Adi, Adam Polyak, Benjamin Bolte, Tu Anh Nguyen, Jade Copet, Alexei Baevski, Adelrahman Mohamed, Emmanuel Dupoux:
Generative Spoken Language Modeling from Raw Audio. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Disaggregation for Energy Efficient Fog in Future 6G Networks. - Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu:
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. - Rami Ezzine, Moritz Wiese, Christian Deppe, Holger Boche:
Common Randomness Generation over Slow Fading Channels. - Wafa Labidi, Holger Boche, Christian Deppe, Moritz Wiese:
Identification over the Gaussian Channel in the Presence of Feedback. - Gabriel Arpino, Nicolò Grometto, Afonso S. Bandeira:
Group Testing in the High Dilution Regime. - Shahla U. Umar, Tarik A. Rashid:
Critical Analysis: Bat Algorithm based Investigation and Application on Several Domains. - A. Feder Cooper, Ellen Abrams:
Emergent Unfairness: Normative Assumptions and Contradictions in Algorithmic Fairness-Accuracy Trade-Off Research. - Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. - Stefano Arrigoni, Francesco Braghin, Federico Cheli:
MPC path-planner for autonomous driving solved by genetic algorithm technique. - Bashar Tahir, Stefan Schwarz, Markus Rupp:
Outage Analysis of Uplink IRS-Assisted NOMA under Elements Splitting. - Hamed Montazer Zohour, Bruno Belzile, David St-Onge:
Kinova Gen3-Lite manipulator inverse kinematics: optimal polynomial solution. - Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Melika Behjati, James Henderson:
Inducing Meaningful Units from Character Sequences with Slot Attention. - Dian Yu, Kai Sun, Dong Yu, Claire Cardie:
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data. - Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Joint Active and Passive Beamforming for IRS-Assisted Multi-User MIMO Systems: A VAMP Approach. - Vahideh H. Manshadi, Rad Niazadeh, Scott Rodilitz:
Fair Dynamic Rationing. - Dalia Popescu, Philippe Jacquet, Bernard Mans, Bartlomiej Blaszczyszyn:
Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling. - Adam W. Strzebonski:
Computing Limits of Quotients of Multivariate Real Analytic Functions. - Yuan Gong, Yu-An Chung, James R. Glass:
PSLA: Improving Audio Event Classification with Pretraining, Sampling, Labeling, and Aggregation. - Xie Lu, Xiaoguang Wang, Xiaoyang Gu:
New Recruiter and Jobs: The Largest Enterprise Data Migration at LinkedIn. - Oliver Kosut, Michelle Effros, Michael Langberg:
Every Bit Counts: Second-Order Analysis of Cooperation in the Multiple-Access Channel. - Runhua Xu, Chao Li, James Joshi:
T3AB: Transparent and Trustworthy Third-party Authority using Blockchain. - Bogdan S. Chlebus, Dariusz R. Kowalski, Jan Olkowski, Jedrzej Olkowski:
Consensus in Networks Prone to Link Failures. - (Withdrawn) Customizing Graph500 for Tianhe Pre-exacale system.
- Stanislava Soro:
TinyML for Ubiquitous Edge AI. - Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He:
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation. - Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon:
Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. - Xiong Liu, Craig E. Thomas, Christian C. Felder:
The impact of external innovation on new drug approvals: A retrospective analysis. - Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. - Andrew Slavin Ross, Nina Chen, Elisa Zhao Hang, Elena L. Glassman, Finale Doshi-Velez:
Evaluating the Interpretability of Generative Models by Interactive Reconstruction. - Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang:
The Limits of Global Inclusion in AI Development. - Huanyi Chen, Paul A. S. Ward:
Predicting student performance using data from an auto-grading system. - Bo Zhang, Di Xiao, Lan Wang, Sen Bai, Lei Yang:
Efficient Compressed Sensing Based Image Coding by Using Gray Transformation. - Matthew Butler, Leona Holloway, Samuel Reinders, Cagatay Goncu, Kim Marriott:
Technology Developments in Touch-Based Accessible Graphics: A Systematic Review of Research 2010-2020. - Xingjun Li, Yuanxin Wang, Hong Wang, Yang Wang, Jian Zhao:
NBSearch: Semantic Search and Visual Exploration of Computational Notebooks. - Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. - Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang:
Progressive Localization Networks for Language-based Moment Localization. - Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu:
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. - Jenhao Hsiao, Jiawei Chen, Chiu Man Ho:
GCF-Net: Gated Clip Fusion Network for Video Action Recognition. - Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab:
Detection of Racial Bias from Physiological Responses. - Danny Hernandez, Jared Kaplan, Tom Henighan, Sam McCandlish:
Scaling Laws for Transfer. - Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation. - Pedro J. Rivera Torres, Carlos Gershenson García, Samir Kanaan-Izquierdo:
Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices. - Yijun Cao, Chuan Lin, Yong-Jie Li:
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. - Miki Tanaka, Hitoshi Kiya:
Fake-image detection with Robust Hashing. - Jusang Lee, Minyoung Chung, Minkyung Lee, Yeong-Gil Shin:
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement. - Raula Gaikovina Kula, Hideaki Hata, Kenichi Matsumoto:
FLOSS != GitHub: A Case Study of Linux/BSD Perceptions from Microsoft's Acquisition of GitHub. - Nizar Khalfet, Ioannis Krikidis:
Information Energy Capacity Region for SWIPT Systems over Raylegh-Fading Channels. - Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
Survey on Artificial Intelligence Approaches for Visualization Data. - Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. - Minghui Xu, Chun-Chi Liu, Yifei Zou, Feng Zhao, Jiguo Yu, Xiuzhen Cheng:
wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks. - Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung:
Neural Data Augmentation via Example Extrapolation. - Gagandeep Singh, Deepak Mishra:
pseudo-Bayesian Neural Networks for detecting Out of Distribution Inputs. - Francesco Paissan, Massimo Gottardi, Elisabetta Farella:
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT. - Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart:
Benchmarking Quantized Neural Networks on FPGAs with FINN. - Walther Carballo-Hernández, Maxime Pelcat, François Berry:
Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks? - Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Bit Error Tolerance Metrics for Binarized Neural Networks. - Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
Fast Exploration of Weight Sharing Opportunities for CNN Compression. - Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning. - Cristina Chesta, Luca Rinelli:
Modular approach to data preprocessing in ALOHA and application to a smart industry use case. - Chen Cai, Dingkang Wang, Yusu Wang:
Graph Coarsening with Neural Networks. - Olivia Weng, Alireza Khodamoradi, Ryan Kastner:
Hardware-efficient Residual Networks for FPGAs. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Subdimensional Expansion for Multi-objective Multi-agent Path Finding. - Andrew Lensen:
Mining Feature Relationships in Data. - Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. - Chajin Shin, Taeoh Kim, Sangjin Lee, Sangyoun Lee:
Test-Time Adaptation for Out-of-distributed Image Inpainting. - Sonja Kraiczy, Ágnes Cseh, David F. Manlove:
On absolutely and simply popular rankings. - Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab:
Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus. - Jessica Van Brummelen, Viktoriya Tabunshchyk, Tommy Heng:
"Alexa, Can I Program You?": Student Perceptions of Conversational Artificial Intelligence Before and After Programming Alexa. - Xin Huang, Xue-Lei Lin, Michael K. Ng, Hai-Wei Sun:
Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations. - Pooja Nayak Muralidhar, Digvijay Katyal, B. Sundar Rajan:
Improved Multi-access Coded Caching Schemes from Cross Resolvable Designs. - Wenxuan Zhou, Muhao Chen:
An Improved Baseline for Sentence-level Relation Extraction. - Zhaohua Zheng, Yize Zhou, Yilong Sun, Zhang Wang, Boyi Liu, Keqiu Li:
Federated Learning in Smart Cities: A Comprehensive Survey. - Tobias Heuer, Nikolai Maas, Sebastian Schlag:
Multilevel Hypergraph Partitioning with Vertex Weights Revisited. - Dong-Keon Kim, Donghee Kim, Kwangsu Kim:
Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region. - Mario Zanon, Sébastien Gros, Michele Palladino:
Stability-Constrained Markov Decision Processes Using MPC. - Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman:
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning. - Bjarne A. Grimstad, Mathilde Hotvedt, Anders T. Sandnes, Odd Kolbjørnsen, Lars Struen Imsland:
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study. - Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane:
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. - Simon Scherrer, Che-Yu Wu, Yu-Hsi Chiang, Benjamin Rothenberger, Daniele Enrico Asoni, Arish Sateesan, Jo Vliegen, Nele Mentens, Hsu-Chun Hsiao, Adrian Perrig:
Low-Rate Overuse Flow Tracer (LOFT): An Efficient and Scalable Algorithm for Detecting Overuse Flows. - Alessandra Toniato, Philippe Schwaller, Antonio Cardinale, Joppe Geluykens, Teodoro Laino:
Unassisted Noise Reduction of Chemical Reaction Data Sets. - Yifan Xie, Xiang Yin, Shaoyuan Li:
Optimal Synthesis of Opacity-Enforcing Supervisors for Qualitative and Quantitative Specifications. - Nayaneesh Kumar Mishra, Satish Kumar Singh:
Face Recognition Using Sf3CNN With Higher Feature Discrimination. - Ruben Tolosana, Juan-Carlos Ruiz-Garcia, Rubén Vera-Rodríguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fiérrez:
Child-Computer Interaction: Recent Works, New Dataset, and Age Detection. - Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. - Henderik Alex Proper:
Interactive Query Formulation using Point to Point Queries. - Yonatan Yehezkeally, Nikita Polyanskii:
On Codes for the Noisy Substring Channel. - Yusuf Samil Ezer:
Two Social Concepts in Virtual Communities: Trust and Reputation. - Weiheng Jiang, Yu Zhang:
Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems. - Miguel Domingo, Francisco Casacuberta:
Two Demonstrations of the Machine Translation Applications to Historical Documents. - Yang Lyu, Muqing Cao, Shenghai Yuan, Lihua Xie:
Vision Based Autonomous UAV Plane Estimation And Following for Building Inspection. - Ondrej Sokol, Vladimír Holý:
Clustering with Penalty for Joint Occurrence of Objects: Computational Aspects. - Xue Liu, Wei Wei, Xiangnan Feng, Xiaobo Cao, Dan Sun:
Graph Classification Based on Skeleton and Component Features. - Iuliana Marin, Myssar Jabbar Hammood Al-Battbootti, Nicolae Goga:
Drone Control based on Mental Commands and Facial Expressions. - Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert:
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks. - Jasper Juchem, Amélie Chevalier, Kevin Dekemele, Mia Loccufier:
First Order Plus Fractional Diffusive Delay Modeling: interconnected discrete systems. - Pierre El Mqirmi, Francesco Belardinelli, Borja G. León:
An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours. - Jingbin Huang, Fei Liu, Florian Richter, Michael C. Yip:
Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations. - Ruben Lapauw, Maurice Bruynooghe, Marc Denecker:
Justifications and a Reconstruction of Parity Game Solving Algorithms. - Nayaneesh Kumar Mishra, Satish Kumar Singh:
Face Recognition using 3D CNNs. - Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li:
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs. - Shu-Jie Cao, Lihui Yi, Haoning Chen, Youlong Wu:
Optimal Coding Scheme and Resource Allocation for Distributed Computation with Limited Resources. - Adrian Ebert, Friedrich Pillichshammer:
Tractability of approximation in the weighted Korobov space in the worst-case setting - a complete picture. - Shayan Hashemi, Mika Mäntylä:
Detecting Anomalies in Software Execution Logs with Siamese Network. - Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui:
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. - Neo C. K. Yiu:
Decentralizing Supply Chain Anti-Counterfeiting Systems Using Blockchain Technology. - Luigi Riso, Marco Guerzoni:
Drift Estimation with Graphical Models. - Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. - Yinbo Yu, Jiajia Liu:
TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems. - Carsten Schneider:
Term Algebras, Canonical Representations and Difference Ring Theory for Symbolic Summation. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants. - Jialin Hong, Derui Sheng, Tau Zhou:
A splitting semi-implicit method for stochastic incompressible Euler equations on T2. - Cheng Ma, Jiwen Lu, Jie Zhou:
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search. - Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem:
Fast Parametric Model Checking through Model Fragmentation. - Salman Khalid, Waqas Bin Abbas, Farhan Khalid:
Deep Learning based Joint Precoder Design and Antenna Selection for Partially Connected Hybrid Massive MIMO Systems. - Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Experts Selection using Graphical Models. - Muhammad N. Fakhruzzaman, Saidah Z. Jannah, Ratih A. Ningrum, Indah Fahmiyah:
Clickbait Headline Detection in Indonesian News Sites using Multilingual Bidirectional Encoder Representations from Transformers (M-BERT). - Andrei Vasilateanu, Nicolae Goga, Elena-Alice Tanase, Iuliana Marin:
Enterprise domain ontology learning from web-based corpus. - Satyapriya Krishna, Rahul Gupta, Christophe Dupuy:
ADePT: Auto-encoder based Differentially Private Text Transformation. - Mohammed ElKomy:
A Survey On (Stochastic Fractal Search) Algorithm. - Yangde Wang, Weidong Qiu, Yuming Xie, Yan Zha:
PatternMonitor: a whole pipeline with a much higher level of automation for guessing Android lock pattern based on videos. - Vladimir Sidorenko, Wenhui Li, Onur Günlü, Gerhard Kramer:
On Skew Convolutional and Trellis Codes. - Emre Demir, Ahmet Gökçen, Yakup Kutlu:
Android Controlled Mobile Robot Design with IP Camera. - Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro:
Metrics and continuity in reinforcement learning. - V. Priya, I. Sumaiya Thaseen, Thippa Reddy Gadekallu, Mohamed K. Aboudaif, Emad S. Abouel Nasr:
Robust Attack Detection Approach for IIoT Using Ensemble Classifier. - Lakshmi Prasad Natarajan, Smiju Kodamthuruthil Joy:
Permute & Add Network Codes via Group Algebras. - Yalan Qin, Guorui Feng, Hanzhou Wu, Yanli Ren, Xinpeng Zhang:
Orientation Convolutional Networks for Image Recognition. - Arman Sharififar, Parastoo Sadeghi, Neda Aboutorab:
Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36. - Yuanpeng He:
A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis. - Demian Hespe, Sebastian Lamm, Christian Schorr:
Targeted Branching for the Maximum Independent Set Problem. - Tatiana Brailovskaya, Miklós Z. Rácz:
Tree trace reconstruction using subtraces. - Binbin Zhang, Di Wu, Chao Yang, Xiaoyu Chen, Zhendong Peng, Xiangming Wang, Zhuoyuan Yao, Xiong Wang, Fan Yu, Lei Xie, Xin Lei:
WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit. - Andre Potenza, Andrey Kiselev, Alessandro Saffiotti, Amy Loutfi:
An Open-Source Modular Robotic System for Telepresence and Remote Disinfection. - Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. - Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan:
On Robustness of Neural Semantic Parsers. - Richard Hawkins, Colin Paterson, Chiara Picardi, Yan Jia, Radu Calinescu, Ibrahim Habli:
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS). - Luis J. Muñoz-Molina, Ignacio Cazorla-Piñar, Juan Pedro Dominguez-Morales, Fernando Perez-Peña:
Real-time detection of uncalibrated sensors using Neural Networks. - Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. - Sitan Chen, Zhao Song, Runzhou Tao, Ruizhe Zhang:
Symmetric Boolean Factor Analysis with Applications to InstaHide. - Rahman Salim Zengin, Volkan Sezer:
Super-klust: Another Way of Piecewise Linear Classification. - James Scott Broadhead, Przemyslaw Pawelczak:
Data Freshness in Mixed-Memory Intermittently-Powered Systems. - Marco Gaido, Mauro Cettolo, Matteo Negri, Marco Turchi:
CTC-based Compression for Direct Speech Translation. - Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang:
Exploiting Raw Images for Real-Scene Super-Resolution. - Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart:
Unscented Kalman Inversion. - Mats L. Richter, Wolf Byttner, Ulf Krumnack, Ludwig Schallner, Justin Shenk:
Size Matters. - Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro:
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication. - Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. - Mohammad H. Jafari, Christina Luong, Michael Y. Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi:
U-LanD: Uncertainty-Driven Video Landmark Detection. - Michael Khayyat, Stefano Arrigoni, Federico Cheli:
Development and Simulation-based Testing of a 5G-Connected Intersection AEB System. - Amirhossein Malekijoo, Mohammad Javad Fadaeieslam, Hanieh Malekijou, Morteza Homayounfar, Farshid Alizadeh-Shabdiz, Reza Rawassizadeh:
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning. - Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner:
Model-based multi-parameter mapping. - Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe:
Symplectic Gaussian Process Dynamics. - Hrishikesh Dutta, Subir Biswas:
Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis. - David Mödinger, Jan-Hendrik Lorenz, Franz J. Hauck:
Statistical privacy preserving message dissemination for peer-to-peer networks. - Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna:
Depth separation beyond radial functions. - Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Strongly Adaptive OCO with Memory. - Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert:
D2D-Aided Multi-Antenna Multicasting under Generalized CSIT. - Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li:
OPAM: Online Purchasing-behavior Analysis using Machine learning. - Leonardo Humberto Silva, Renata Xavier Castro, Marice Costa Guimaraes:
Supporting Real Demands in Software Engineering with a Four Steps Project-Based Learning Approach. - Jirí Síma:
Stronger Separation of Analog Neuron Hierarchy by Deterministic Context-Free Languages. - Axel Målqvist, Barbara Verfürth:
An offline-online strategy for multiscale problems with random defects. - Xiao Lu, Dusit Niyato, Hai Jiang, Ekram Hossain, Ping Wang:
Ambient Backscatter-Assisted Wireless-Powered Relaying. - Pramit Saha, Debasish Ray Mohapatra, Sidney S. Fels:
SPEAK WITH YOUR HANDS - Using Continuous Hand Gestures to control Articulatory Speech Synthesizer. - Henry Fielding Cappel:
A Hierarchical Multi-Robot Mapping Architecture Subject to Communication Constraints. - Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching. - Jonathan Protzenko, Son Ho:
Zero-cost meta-programmed stateful functors in F. - Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini:
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search. - Steve Hanneke, Roi Livni, Shay Moran:
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games. - Cyrille Feudjio, Victoire Djimna Noyum, Younous Perieukeu Mofendjou, Rockefeller, Ernest Fokoué:
A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data. - Roman Jurowetzki, Daniel S. Hain, Juan Mateos-Garcia, Konstantinos Stathoulopoulos:
The Privatization of AI Research(-ers): Causes and Potential Consequences - From university-industry interaction to public research brain-drain? - Jinjiang Guo, Jie Li, Dawei Leng, Lurong Pan:
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction. - Paola Francesca Antonietti, Gianmarco Manzini, Ilario Mazzieri, Simone Scacchi, Marco Verani:
The conforming virtual element method for polyharmonic and elastodynamics problems: a review. - Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson:
Private Linear Transformation: The Individual Privacy Case. - Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson:
Private Linear Transformation: The Joint Privacy Case. - Kale-ab Abebe Tessera, Sara Hooker, Benjamin Rosman:
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. - Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath:
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. - Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg:
Agent Incentives: A Causal Perspective. - Hal Finkel, Ignacio Laguna:
Report of the Workshop on Program Synthesis for Scientific Computing. - Wei-Lin Hsiao, Kristen Grauman:
From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. - Ana Lilia Alvarez-Blanco, Eugenia Cordoba-Warner, Marvin Coto-Jiménez, Vivian Fallas-Lopez, Maribel Morales Rodriguez:
Generacion de voces artificiales infantiles en castellano con acento costarricense. - Cesar R. Salas-Guerra:
Skills-based on technological knowledge in the digital economy activity. - Assane Gueye, Peter Mell:
A Historical and Statistical Studyof the Software Vulnerability Landscape. - Amir Yazdanbakhsh, Christof Angermüller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon:
Apollo: Transferable Architecture Exploration. - (Withdrawn) On the Power of False Negative Awareness in Indicator-based Caching Systems.
- Reed Oei, Dun Ma, Christian Schulz, Philipp Hieronymi:
Pecan: An Automated Theorem Prover for Automatic Sequences using Büchi Automata. - Alexandra M. Porter, Mary Wootters:
On Greedy Approaches to Hierarchical Aggregation. - Selima Curci, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Truly Sparse Neural Networks at Scale. - Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song:
FedProf: Optimizing Federated Learning with Dynamic Data Profiling. - Myroslav K. Sparavalo:
Canonical Form of Lyapunov Second Method in Mathematical Modelling and Control Design. - Jacopo Marconi, Paolo Tiso, Davide E. Quadrelli, Francesco Braghin:
An enhanced parametric nonlinear reduced order model for imperfect structures using Neumann expansion. - Yili Hong, Jie Min, Caleb B. King, William Q. Meeker:
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles. - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. - Vinícius da Silva, Tiago Novello, Hélio Lopes, Luiz Velho:
Real-time rendering of complex fractals. - Ming Yin, Yu Bai, Yu-Xiang Wang:
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction. - Zahra Salahshoori Nejad, Hamed Heravi, Ali Rahimpour Jounghani, Abdollah Shahrezaie, Afshin Ebrahimi:
Vehicle trajectory prediction in top-view image sequences based on deep learning method. - Shira Faigenbaum-Golovin, David Levin:
Manifold Repairing, Reconstruction and Denoising from Scattered Data in High-Dimension. - Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis:
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks. - Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. - Weiquan Fan, Xiangmin Xu, Xiaofen Xing, Weidong Chen, Dongyan Huang:
LSSED: a large-scale dataset and benchmark for speech emotion recognition. - Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, Matt Post:
The Multilingual TEDx Corpus for Speech Recognition and Translation. - Luciana Ferrer, Mitchell McLaren, Niko Brummer:
A Speaker Verification Backend with Robust Performance across Conditions. - Ali Ansari, Fatemeh Golshan, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
MANA: Microarchitecting an Instruction Prefetcher. - Jorge Miguel Silva, Diogo Pratas, Rui Antunes, Sérgio Matos, Armando J. Pinho:
Automatic analysis of artistic paintings using information-based measures. - Brendan David-John, Diane Hosfelt, Kevin R. B. Butler, Eakta Jain:
A privacy-preserving approach to streaming eye-tracking data. - Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou:
Secret Key Agreement and Secure Omniscience of Tree-PIN Source with Linear Wiretapper. - Chun Kai Ling, Noam Brown:
Safe Search for Stackelberg Equilibria in Extensive-Form Games. - Mauro Lucci, Daniel Severín, Paula Zabala:
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows. - Yi-Shiou Duh, Ray Chang:
Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation. - William H. Mitchell, Henry G. Bell, Yoichiro Mori, Laurel Ohm, Daniel Spirn:
A single-layer based numerical method for the slender body boundary value problem. - Atefeh Shahroudnejad:
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks. - Madi Zholbaryssov, Alejandro D. Domínguez-García:
Data-Driven Secondary Control of Distributed Energy Resources. - Ariah Klages-Mundt, Andreea Minca:
Optimal Intervention in Economic Networks using Influence Maximization Methods. - Patrick Bahr:
Proceedings 11th International Workshop on Computing with Terms and Graphs, TERMGRAPH@FSCD 2020, Online, 5th July 2020. EPTCS 334, 2021 [contents] - Sayed Amir Hoseini, Ming Ding, Mahbub Hassan, Youjia Chen:
Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands. - Yuval Shahar:
The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient. - Muslum Ozgur Ozmen, Xuansong Li, Andrew Chun-An Chu, Z. Berkay Celik, Bardh Hoxha, Xiangyu Zhang:
Discovering Physical Interaction Vulnerabilities in IoT Deployments. - Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang:
Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation. - Xinqiao Zhang, Huili Chen, Farinaz Koushanfar:
TAD: Trigger Approximation based Black-box Trojan Detection for AI. - Aparna Elangovan, Jiayuan He, Karin Verspoor:
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation. - Xinyue Kan, Thomas C. Thayer, Stefano Carpin, Konstantinos Karydis:
Task Planning on Stochastic Aisle Graphs for Precision Agriculture. - Zhewei Sun, Richard S. Zemel, Yang Xu:
A Computational Framework for Slang Generation. - Ricardo Di Pasquale, Javier Marenco:
Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios. - Ricardo Di Pasquale, Javier Marenco:
Optimization meets Big Data: A survey. - Reyna Hulett, Shubham Chandak, Mary Wootters:
On Coding for an Abstracted Nanopore Channel for DNA Storage. - Yasufumi Taniguchi, Hiroki Nakayama, Takahiro Kubo, Jun Suzuki:
An Investigation Between Schema Linking and Text-to-SQL Performance. - Hiroki Kojima, Takashi Ikegami:
Organization of a Latent Space structure in VAE/GAN trained by navigation data. - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. - Said Al-Abri, Fumin Zhang:
A Distributed Active Perception Strategy for Source Seeking and Level Curve Tracking. - Andrew Giuliani:
A two-dimensional stabilized discontinuous Galerkin method on curvilinear embedded boundary grids. - Muhammad Hilmi Asyrofi, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, Zhou Yang, David Lo:
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. - An Yan, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. - Zhuotong Chen, Qianxiao Li, Zheng Zhang:
Towards Robust Neural Networks via Close-loop Control. - Raj Prateek Kosaraju:
Deep CNNs for large scale species classification. - Geza Kovacs, Darren Edge:
QuizCram: A Quiz-Driven Lecture Viewing Interface. - Geza Kovacs:
Edvertisements: Adding Microlearning to Social News Feeds and Websites. - Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash:
Impact of Data Processing on Fairness in Supervised Learning. - Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. - Praneet Singh, Jishnu Jaykumar, Akhil Pankaj, Reshmi Mitra:
Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network. - Ghazal Mazaheri, Kevin Urrutia Avila, Amit K. Roy-Chowdhury:
Learning to identify image manipulations in scientific publications. - Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque:
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices. - Dali Zhu, Haitao Liu, Ting Li, Jiyan Sun, Jie Liang, Hangsheng Zhang, Liru Geng, Yinlong Liu:
Deep Reinforcement Learning-based Task Offloading in Satellite-Terrestrial Edge Computing Networks. - Wen Jun Lim, Mahyar Shirvanimoghaddam, Rana Abbas, Yonghui Li, Branka Vucetic:
Analysis and Design of Analog Fountain Codes for Short Packet Communications in IoT. - Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework. - Bekir Sait Ciftler, Abdulmalik Alwarafy, Mohamed M. Abdallah, Mounir Hamdi:
DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks. - Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. - Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. - Yangling Ma, Zhouwang Yang:
Multi-Instance Learning by Utilizing Structural Relationship among Instances. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Multi-color balancing for correctly adjusting the intensity of target colors. - Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu:
Relaxed Transformer Decoders for Direct Action Proposal Generation. - Barak Or, Liam Hazan:
Length Learning for Planar Euclidean Curves. - Rucha Bhalchandra Joshi, Annada Prasad Behera, Subhankar Mishra:
Temporal Motifs in Smart Grid. - Harry Septanto, Djoko Suprijanto:
Linear Continuous Sliding Mode-based Attitude Controller with Modified Rodrigues Parameters Feedback. - Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu:
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. - Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva:
A Scalable Two Stage Approach to Computing Optimal Decision Sets. - Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. - Yucheng Liu, Lawrence Ong, Sarah Johnson, Jörg Kliewer, Parastoo Sadeghi, Phee Lep Yeoh:
Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective. - Avihay Chriqui, Inbal Yahav:
HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. - Qiang Li, Miaowen Wen, Shuai Wang, George C. Alexandropoulos, Yik-Chung Wu:
Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis. - Srujan Teja Thomdapu, Ketan Rajawat:
Optimizing QoS for Erasure-Coded Wireless Data Centers. - Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Jun Fang:
Session-based Recommendation with Self-Attention Networks. - Iñaki Esnaola, Samir M. Perlaza, Ke Sun:
Data-Injection Attacks. - Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen:
Electrodeless electrode model for electrical impedance tomography. - Keisuke Imoto, Sakiko Mishima, Yumi Arai, Reishi Kondo:
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance. - HeeJong Park, Arvind Easwaran, Etienne Borde:
Online Cycle Detection for Models with Mode-Dependent Input and Output Dependencies. - Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, Sangyoun Lee:
Regularization Strategy for Point Cloud via Rigidly Mixed Sample. - Yucheng Zhao, Dacheng Yin, Chong Luo, Zhiyuan Zhao, Chuanxin Tang, Wenjun Zeng, Zheng-Jun Zha:
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework. - Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang:
Roughly Collected Dataset for Contact Force Sensing Catheter. - Liangxi Liu, Feng Zheng:
A Bayesian Federated Learning Framework with Multivariate Gaussian Product. - Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Rank-2 Markov Chains. - Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu:
Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar, Sanjay K. Jha:
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks. - Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom:
Pitfalls of Static Language Modelling. - Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi, Rufin VanRullen:
Predictive coding feedback results in perceived illusory contours in a recurrent neural network. - Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. - Omar Zahra, David Navarro-Alarcon, Silvia Tolu:
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks. - Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Neural Network based on Dropout Regulation. - Magnus Baunsgaard Kristensen, Rasmus Ejlers Møgelberg, Andrea Vezzosi:
A model of Clocked Cubical Type Theory. - Jiashuo Zhang, Jianbo Gao, Ke Wang, Zhenhao Wu, Ying Lan, Zhi Guan, Zhong Chen:
TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment. - Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Patrick Mathews, Rong Wang, Georgiana Lyall, Lexing Xie:
AttentionFlow: Visualising Influence in Networks of Time Series. - Viraj Kulkarni, Manish Gawali, Amit Kharat:
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice. - Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup:
Variance Penalized On-Policy and Off-Policy Actor-Critic. - Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-shot Learning. - Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou:
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images. - Shengkui Zhao, Hao Wang, Trung Hieu Nguyen, Bin Ma:
Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram. - Shengkui Zhao, Trung Hieu Nguyen, Bin Ma:
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses. - Gergei Bana, Wojciech Jamroga, David Naccache, Peter Y. A. Ryan:
Convergence Voting: From Pairwise Comparisons to Consensus. - Guang Yang, Qinghao Ye, Jun Xia:
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond. - David Sinclair, Christopher Town:
A generalised feature for low level vision. - Orestis Georgiou, Constantinos Psomas, Eleni Demarchou, Ioannis Krikidis:
LoRa Network Performance Under Ambient Energy Harvesting and Random Transmission Schemes. - My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo:
Robust pedestrian detection in thermal imagery using synthesized images. - Tanvir Alam, Jens Schneider:
Social Network Analysis of Hadith Narrators from Sahih Bukhari. - Steven Chaplick, Philipp Kindermann, Jonathan Klawitter, Ignaz Rutter, Alexander Wolff:
Extending Partial Representations of Rectangular Duals with Given Contact Orientations. - Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues:
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms. - Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota:
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. - Orestis Georgiou, Constantinos Psomas, Christodoulos Skouroumounis, Ioannis Krikidis:
Optimal Non-Uniform Deployments of LoRa Networks. - Sebastian Cmentowski, Andrey Krekhov, André Zenner, Daniel Kucharski, Jens H. Krüger:
Towards Sneaking as a Playful Input Modality for Virtual Environments. - Rucha Bhalchandra Joshi, Subhankar Mishra:
Learning Graph Representations. - Francesc Lluís, Vasileios Chatziioannou, Alex Hofmann:
Music source separation conditioned on 3D point clouds. - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. - Linping Yuan, Ziqi Zhou, Jian Zhao, Yiqiu Guo, Fan Du, Huamin Qu:
InfoColorizer: Interactive Recommendation of Color Palettes for Infographics. - Gellért Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári:
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function. - Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. - Jiarong Li, Jin Lin, Yonghua Song, Jinyu Xiao, Feng Liu, Yuxuan Zhao, Sen Zhan:
Technoeconomic Supplement of P2G Clusters with Hydrogen Pipeline for Coordinated Renewable Energy and HVDC Systems. - Munyque Mittelmann, Sylvain Bouveret, Laurent Perrussel:
A General Framework for the Logical Representation of Combinatorial Exchange Protocols. - Rob Ward, Burak Sencer, Bryn Jones, Erdem Ozturk:
Accurate Prediction Of Machining Feedrate And Cycle Time Prediction Considering Interpolator Dynamics. - Xuecong Sun, Han Jia, Yuzhen Yang, Han Zhao, Yafeng Bi, Zhaoyong Sun, Jun Yang:
Acoustic Structure Inverse Design and Optimization Using Deep Learning. - Hassnaa El-Derhalli, Léa Constans, Sébastien Le Beux, Alfredo De Rossi, Fabrice Raineri, Sofiène Tahar:
Optical Stochastic Computing Architectures Using Photonic Crystal Nanocavities. - Xuxue Sun, Nazmus Sakib, Nan Kong, Hongdao Meng, Kathryn Hyer, Chris Masterson, Mingyang Li:
An Analytics-based Decision Support System for Resource Planning under Heterogeneous Service Demand of Nursing Home Residents. - Achintya Kumar Sarkar, Md. Sahidullah, Zheng-Hua Tan:
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification. - Huan Chang, Yicheng Chen, Baochang Zhang, David S. Doermann:
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning. - Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He:
Federated Learning on Non-IID Data Silos: An Experimental Study. - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Top-down Discourse Parsing via Sequence Labelling. - Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. - Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar:
PARAFAC2 AO-ADMM: Constraints in all modes. - Jinpeng Li, Yaling Tao, Ting Cai:
Investigating Critical Risk Factors in Liver Cancer Prediction. - Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
Uncertain Time Series Classification With Shapelet Transform. - Philip R. Doyle, Leigh Clark, Benjamin R. Cowan:
What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach. - Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, Zhengyu Niu, Haifeng Wang:
Learning to Select External Knowledge with Multi-Scale Negative Sampling. - Ahmet Ercan Tekden, Aykut Erdem, Erkut Erdem, Tamim Asfour, Emre Ugur:
Object and Relation Centric Representations for Push Effect Prediction. - Maurice Jamieson, Nick Brown:
Compact Native Code Generation for Dynamic Languages on Micro-core Architectures. - Maximin Coavoux, Shay B. Cohen:
Learning to Match Mathematical Statements with Proofs. - Sandra Wankmüller:
Neural Transfer Learning with Transformers for Social Science Text Analysis. - Irene Li:
Detecting Bias in Transfer Learning Approaches for Text Classification. - Zhongchang Liu, Wing Shing Wong:
Group Consensus of Linear Multi-agent Systems under Nonnegative Directed Graphs. - Yinbin Ma, Daniela Tuninetti:
A General Coded Caching Scheme for Scalar Linear Function Retrieval. - Qian Guo, Erik Mårtensson, Paul Stankovski Wagner:
On the Sample Complexity of solving LWE using BKW-Style Algorithms. - Christopher Gebauer, Maren Bennewitz:
Learning a Compact State Representation for Navigation Tasks by Autoencoding 2D-Lidar Scans. - Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic:
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks. - Alarith Uhde, Matthias Laschke, Marc Hassenzahl:
Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift Work. - Farouq Zitouni, Saad Harous, Abdelghani Belkeram, Lokman Elhakim Baba Hammou:
The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization. - Alessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González:
BeFair: Addressing Fairness in the Banking Sector. - Omar Montasser, Steve Hanneke, Nathan Srebro:
Adversarially Robust Learning with Unknown Perturbation Sets. - Rishabh Goyal, Joaquin Vanschoren, Victor van Acht, Stephan Nijssen:
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms. - Viviane Clay, Peter König, Gordon Pipa, Kai-Uwe Kühnberger:
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised. - Henry D. Pfister, Ido Tal:
Polar Codes for Channels with Insertions, Deletions, and Substitutions. - Sven Puchinger, Julian Renner, Antonia Wachter-Zeh, Jens Zumbrägel:
Efficient Decoding of Gabidulin Codes over Galois Rings. - Amit Attia, Tomer Koren:
The Instability of Accelerated Gradient Descent. - Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun:
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition. - Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg:
Learning Models of Model Predictive Controllers using Gradient Data. - Prasad Krishnan, Rogers Mathew, Subrahmanyam Kalyanasundaram:
Pliable Index Coding via Conflict-Free Colorings of Hypergraphs. - Tiago Pimentel, Ryan Cotterell, Brian Roark:
Disambiguatory Signals are Stronger in Word-initial Positions. - Janaki Sheth, Young-Suk Lee, Ramón Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward:
Bootstrapping Multilingual AMR with Contextual Word Alignments. - Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng:
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. - Kasper Green Larsen, Rasmus Pagh, Jakub Tetek:
CountSketches, Feature Hashing and the Median of Three. - Markku-Juhani O. Saarinen:
On Entropy and Bit Patterns of Ring Oscillator Jitter. - Peter Hase, Mohit Bansal:
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data. - Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei:
Embodied Intelligence via Learning and Evolution. - Albert Weichselbraun, Adrian M. P. Brasoveanu, Roger Waldvogel, Fabian Odoni:
Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums. - Setareh Sharifian, Reihaneh Safavi-Naini:
Information-theoretic Key Encapsulation and its Application to Secure Communication. - Cornelia Ott, Sven Puchinger, Martin Bossert:
Bounds and Genericity of Sum-Rank-Metric Codes. - Ciprian-Octavian Truica, Elena Simona Apostol, Jérôme Darmont, Torben Bach Pedersen:
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes. - Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Low-cost attacks on Ethereum 2.0 by sub-1/3 stakeholders. - Paolo Rocca, Lorenzo Poli, Alessandro Polo, Andrea Massa:
Optimal Excitation Matching Strategy for Sub-Arrayed Phased Linear Arrays Generating Arbitrary-Shaped Beams. - Paolo Rocca, Nicola Anselmi, Alessandro Polo, Andrea Massa:
Modular Design of Hexagonal Phased Arrays Through Diamond Tiles. - Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O'Hara:
DEFT: Detection Embeddings for Tracking. - Mazen Alamir:
A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems. - Stefan H. Reiterer:
Numerical Differentiation using local Chebyshev-Approximation. - Prashanth Gurunath Shivakumar, Panayiotis G. Georgiou, Shrikanth Narayanan:
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords. - Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Ávila Pires, Théophane Weber:
Neural Recursive Belief States in Multi-Agent Reinforcement Learning. - Yu Tao, Kush R. Varshney:
Insiders and Outsiders in Research on Machine Learning and Society. - Bruno Di Giorgi, Matthias Mauch, Mark Levy:
Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks. - Muhammad Haseeb, Fahad Saeed:
HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data. - Fatemeh Taheri Dezaki, Christina Luong, Tom Ginsberg, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang:
Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography. - Marco Loog:
Nearest Neighbor-based Importance Weighting. - Léa Ricard, Guy Desaulniers, Andrea Lodi, Louis-Martin Rousseau:
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services. - Jérémy Anger, Thibaud Ehret, Gabriele Facciolo:
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products. - Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski:
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. - Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings:
Improved Cooperation by Exploiting a Common Signal. - Peiran Yao, Denilson Barbosa:
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out. - Timothy Trippel, Kang G. Shin, Alex Chernyakhovsky, Garret Kelly, Dominic Rizzo, Matthew Hicks:
Fuzzing Hardware Like Software. - Sander Beckers:
Causal Sufficiency and Actual Causation. - Sam Garlick, Andrew Bradley:
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning. - Cristiano Bonato Both, João G. G. Borges, Luan Gonçalves, Cleverson Veloso Nahum, Ciro J. A. Macedo, Aldebaro Klautau, Kleber Vieira Cardoso:
System Intelligence for UAV-Based Mission Critical with Challenging 5G/B5G Connectivity. - Zaid Khan, Yun Fu:
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. - Xue Chen, Michal Derezinski:
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence. - James Mou, Jun Li:
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy. - Margrét V. Bjarnadóttir, Louiqa Raschid:
Modeling Complex Financial Products. - Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen:
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms. - Jon McCormack, Camilo Cruz Gambardella, Andy Lomas:
The Enigma of Complexity. - Archita Pathak, Mohammad Abuzar Shaikh, Rohini K. Srihari:
Self-Supervised Claim Identification for Automated Fact Checking. - Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis:
On the Approximation Power of Two-Layer Networks of Random ReLUs. - Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman:
Environment Predictive Coding for Embodied Agents. - Gabriel Martine-La Boissoniere, Rustum Choksi, Jean-Philippe Lessard:
Microscopic Patterns in the 2D Phase-Field-Crystal Model. - Zhen Xu, David R. So, Andrew M. Dai:
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. - Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko:
Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models. - Jayam Patel, Prajankya Sonar, Carlo Pinciroli:
On Multi-Human Multi-Robot Remote Interaction: A Study of Transparency, Inter-Human Communication, and Information Loss in Remote Interaction. - Ke Wu, Aaron B. Wagner:
A Practical Coding Scheme for the BSC with Feedback. - Dan R. Ghica:
Operational Semantics with Hierarchical Abstract Syntax Graphs. 1-10 - Nicolas Behr:
On Stochastic Rewriting and Combinatorics via Rule-Algebraic Methods. 11-28 - Jonas Kiessling, Emanuel Ström, Raúl Tempone:
Wind Field Reconstruction with Adaptive Random Fourier Features. - Thierry Boy de la Tour:
Parallel Independence in Attributed Graph Rewriting. 62-77 - S. L. Heenatigala, Sunethra Weerakoon, T. G. I. Fernando:
Finite Difference Weerakoon-Fernando Method to solve nonlinear equations without using derivatives. - Thales Silva, Carmina Porto, Erickson H. da S. Alves, Lucas C. Cordeiro, Herbert Rocha:
Verifying Security Vulnerabilities in Large Software Systems using Multi-Core k-Induction. - Jiangke Lin, Yi Yuan, Zhengxia Zou:
MeInGame: Create a Game Character Face from a Single Portrait. - Ai Linh Nguyen, Wenyuan Liu, Siew Ann Cheong:
Coevolution of theoretical and applied research: a case study of graphene research by temporal and geographic analysis. - Priyank Jaini, Didrik Nielsen, Max Welling:
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. - Chengmin Zhou, Bingding Huang, Pasi Fränti:
A review of motion planning algorithms for intelligent robotics. - Jean-Pierre Barriot, Neil Davies, Benoît Stoll, Sébastien Chabrier, Alban Gabillon:
A Possible Artificial Intelligence Ecosystem Avatar: the Moorea case (IDEA). - Shuai Ma, Michèle A. Wigger:
First- and Second-Moment Constrained Gaussian Channels. - Ivica Nikolic, Radu Mantu, Shiqi Shen, Prateek Saxena:
Refined Grey-Box Fuzzing with SIVO. - Nan Zhou, Lingen Luo, Gehao Sheng, Xiuchen Jiang:
Event Occurrence Model for Power Distribution System Based on Data Eigenvalue Behavior Analytic. - Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama:
Provably End-to-end Label-Noise Learning without Anchor Points. - Zhuosheng Zhang, Jiarui Li, Shucheng Yu, Christian Makaya:
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation. - Mo Zhou, Rong Ge, Chi Jin:
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. - Abbas Khalili, Shahram Shahsavari, Mohammad Ali Amir Khojastepour, Elza Erkip:
On Single-User Interactive Beam Alignment in Millimeter Wave Systems: Impact of Feedback Delay. - Kai Yuan Tay, Lynnette Hui Xian Ng, Wei Han Chua, Lucerne Loke, Danqi Ye, Melissa Wan Jun Chua:
Audio Adversarial Examples: Attacks Using Vocal Masks. - Ben J. Gross, Paul Kuberry, Paul J. Atzberger:
First-Passage Time Statistics on Surfaces of General Shape: Surface PDE Solvers using Generalized Moving Least Squares (GMLS). - Zhiheng Xu, Arvind Easwaran:
A Game-Theoretic Approach to Secure Estimation and Control for Cyber-Physical Systems with a Digital Twin. - Dong Wang, Xiaodong Wang, Fanggang Wang:
Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization. - Mojtaba Abolfazli, Anders Høst-Madsen, June Zhang, Andras Bratincsak:
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models. - Libo Feng, Ian W. Turner, Patrick Perré, Kevin Burrage:
The use of a time-fractional transport model for performing computational homogenisation of 2D heterogeneous media exhibiting memory effects. - Bhavtosh Rath, Wei Gao, Jaideep Srivastava:
Assessing Individual and Community Vulnerability to Fake News in Social Networks. - Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang:
Converse, Focus and Guess - Towards Multi-Document Driven Dialogue. - Ting-Yi Wu, Yunghsiang S. Han, Zhengrui Li, Bo Bai, Gong Zhang, Liang Chen, Xiang Wu:
Lower Bound on the Optimal Access Bandwidth of (K+2, K, 2)-MDS Array Code with Degraded Read Friendly. - Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Ghassan Hamarneh:
EUCA: A Practical Prototyping Framework towards End-User-Centered Explainable Artificial Intelligence. - Zahi M. Kakish, Sritanay Vedartham, Spring Berman:
Towards Decentralized Human-Swarm Interaction by Means of Sequential Hand Gesture Recognition. - Yesdaulet Izenov, Asoke Datta, Florin Rusu, Jun Hyung Shin:
Online Sketch-based Query Optimization. - Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale:
Persistent Rule-based Interactive Reinforcement Learning. - Der-Chen Chang, Ophir Frieder, Chi-Feng Hung, Hao-Ren Yao:
The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System. - Krishna Chaitanya Kosaraju, Seetharaman Sivaranjani, Vijay Gupta:
Safety during Transient Response in Direct Current Microgrids using Control Barrier Functions. - Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao:
Hybrid Adversarial Inverse Reinforcement Learning. - Kris Shrishak, Haya Schulmann:
Privacy Preserving and Resilient RPKI. - Christian Rathgeb, Johannes Merkle, Johanna Scholz, Benjamin Tams, Vanessa Nesterowicz:
Deep Face Fuzzy Vault: Implementation and Performance. - Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong:
App Developer Centric Trusted Execution Environment. - Olivier Rioul, Wei Cheng, Sylvain Guilley:
Cumulant Expansion of Mutual Information for Quantifying Leakage of a Protected Secret. - Mahshad Lotfinia, Soroosh Tayebi Arasteh:
Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling. - Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok:
Transfer Learning in Bandits with Latent Continuity. - Gonzalo Galiano:
Error analysis of some nonlocal diffusion discretization schemes. - Md. Faisal Ahmed, Zalish Mahmud, Zarin Tasnim Biash, Ahmed Ann Noor Ryen, Arman Hossain, Faisal Bin Ashraf:
Bangla Text Dataset and Exploratory Analysis for Online Harassment Detection. - Júlio Araújo, Marin Bougeret, Victor A. Campos, Ignasi Sau:
Introducing lop-kernels: a framework for kernelization lower bounds. - Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. - Hongyinping Feng, Pei-Hua Lang, Jiankang Liu:
Boundary Stabilization and Observation of an Unstable Heat Equation in a General Multi-dimensional Domain. - Thomas Power, Dmitry Berenson:
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models. - Sebastian Bullinger, Christoph Bodensteiner, Michael Arens:
3D Surface Reconstruction From Multi-Date Satellite Images. - Alex Tamkin, Miles Brundage, Jack Clark, Deep Ganguli:
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models. - Philip Bille, Inge Li Gørtz, Max Rishøj Pedersen, Teresa Anna Steiner:
Gapped Indexing for Consecutive Occurrences. - Héléna Schourick, Damien Tromeur-Dervout, Laurent Chedot:
Aitken-Schwarz heterogeneous Domain Decomposition for EMT-TS Simulation. - Robin R. Murphy, Vignesh Babu Manjunath Gandudi, Trisha Amin, Angela Clendenin, Jason Moats:
An Analysis of International Use of Robots for COVID-19. - Lasse Einfeldt, Auriol Degbelo:
User Interface Factors of Mobile UX: A Study with an Incident Reporting Application. - Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha, Camilla Hollanti:
High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes. - Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek:
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. - Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. - Hamidreza Bakhshzad Mahmoodi, Mohammad Javad Salehi, Antti Tölli:
Non-Symmetric Coded Caching for Location-Dependent Content Delivery. - Petar Bevanda, Stefan Sosnowski, Sandra Hirche:
Koopman Operator Dynamical Models: Learning, Analysis and Control. - Pranab Jyoti Deka, Lukas Einkemmer:
Efficient adaptive step size control for exponential integrators. - Kai Liang, Youlong Wu:
Improved Communication Efficiency for Distributed Mean Estimation with Side Information. - Andrea Fioraldi, Luigi Paolo Pileggi:
FuzzSplore: Visualizing Feedback-Driven Fuzzing Techniques. - Saad Kriouile, Mohamad Assaad, Ali Maatouk:
On the Global Optimality of Whittle's index policy for minimizing the age of information. - Rui Li, Chenxi Duan:
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images. - Vittorio Lippi:
Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids. - Ada J. Ellingsrud, Nicolas Boullé, Patrick E. Farrell, Marie E. Rognes:
Accurate numerical simulation of electrodiffusion and water movement in brain tissue. - Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck:
On Fading Channel Dependency Structures with a Positive Zero-Outage Capacity. - Vittorio Lippi, Christoph Maurer, Thomas Mergner:
The Importance of Models in Data Analysis with Small Human Movement Datasets - Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans. - Magali Bardet, Rocco Mora, Jean-Pierre Tillich:
Decoding Reed-Solomon codes by solving a bilinear system with a Gröbner basis approach. - Hai Xuan Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. - Gongshan He, Dongxing Zhao, Lixin Ding:
Dual-embedding based Neural Collaborative Filtering for Recommender Systems. - Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. - Thomas Jerkovits, Vladimir Sidorenko, Antonia Wachter-Zeh:
Decoding of Space-Symmetric Rank Errors. - Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong:
Adaptive Semiparametric Language Models. - Eneko Osaba, Aritz D. Martinez, Javier Del Ser:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions. - Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo:
An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem. - James Hargreaves, Andreas Vlachos, Guy Emerson:
Incremental Beam Manipulation for Natural Language Generation. - Tom Hanika, Johannes Hirth:
Exploring Scale-Measures of Data Sets. - Kazuya Horibe, Kathryn Walker, Sebastian Risi:
Regenerating Soft Robots through Neural Cellular Automata. - Manuel Arenaz, Xavier Martorell:
Parallelware Tools: An Experimental Evaluation on POWER Systems. - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen:
Optimizing Blockchain Based Smart Grid Auctions: A Green Revolution. - Davoud Mougouei, Aditya K. Ghose, Hoa Khanh Dam, David M. W. Powers:
Human Values in Software Release Planning. - Vít Novotný, Eniafe Festus Ayetiran, Dávid Lupták, Michal Stefánik, Petr Sojka:
One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. - Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. - Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng:
Lookup subnet based Spatial Graph Convolutional neural Network. - Lorenzo Pareschi, Torsten Trimborn, Mattia Zanella:
Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences. - Andre Esser, Robert Kübler, Floyd Zweydinger:
A Faster Algorithm for Finding Closest Pairs in Hamming Metric. - Anne Baanen, Sander R. Dahmen, Ashvni Narayanan, Filippo A. E. Nuccio:
A formalization of Dedekind domains and class groups of global fields. - Neo C. K. Yiu:
An Empirical Analysis of Implementing Enterprise Blockchain Protocols in Supply Chain Anti-Counterfeiting and Traceability. - Lin Liu, Shuo Feng, Yiheng Feng, Xichan Zhu, Henry X. Liu:
A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing. - Mira Gonen, Michael Langberg, Alex Sprintson:
Minimizing the alphabet size in codes with restricted error sets. - Lars Lindemann, Dimos V. Dimarogonas:
Barrier Function-based Collaborative Control of Multiple Robots under Signal Temporal Logic Tasks. - Alina Filimonov, Reshef Meir:
Strategyproof Facility Location Mechanisms on Discrete Trees. - David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn:
CKConv: Continuous Kernel Convolution For Sequential Data. - Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk:
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate. - Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Optimised one-class classification performance. - Junjie Yin, Jianhua Wang, Jun You:
Electricity-gas integrated energy system optimal operation in typical scenario of coal district considering hydrogen heavy trucks. - Suat Mercan, Ahmet Kurt, Enes Erdin, Kemal Akkaya:
Cryptocurrency Solutions to Enable Micro-payments in Consumer IoT. - Giorgio Camerani:
The #ETH is False, #k-SAT is in Sub-Exponential Time. - Robin Bloomfield, Gareth Fletcher, Heidy Khlaaf, Luke Hinde, Philippa Ryan:
Safety Case Templates for Autonomous Systems. - Luís Cruz-Filipe, Fabrizio Montesi, Marco Peressotti:
Formalising a Turing-Complete Choreographic Language in Coq. - Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. - Mikail Yayla, Mario Günzel, Burim Ramosaj, Jian-Jia Chen:
Universal Approximation Theorems of Fully Connected Binarized Neural Networks. - Hendri Murfi, Natasha Rosaline, Nora Hariadi:
Deep Autoencoder-based Fuzzy C-Means for Topic Detection. - Swarajya Lakshmi V. Papineni, Snigdha Yarlagadda, Harita Akkineni, A. Mallikarjuna Reddy:
Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms. - Letian Zhang, Lixing Chen, Jie Xu:
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. - Matthew E. Taylor, Nicholas Nissen, Yuan Wang, Neda Navidi:
Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym. - Gang Min, Xiongwei Zhang, Xia Zou, Xiangyang Liu:
Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach. - Christopher A. Metz, Mehran Goli, Rolf Drechsler:
Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs. - Maximilian Felde, Gerd Stumme:
Triadic Exploration and Exploration with Multiple Experts. - Enes Erdin, Suat Mercan, Kemal Akkaya:
An Evaluation of Cryptocurrency Payment Channel Networks and Their Privacy Implications. - César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. - Christian Schorr:
Hybrid consistency and plausibility verification of product data according to FIC. - Michael Shub, Qing Xu, Xiaohua Xuan:
Disease Prediction with a Maximum Entropy Method. - Huiyuan Deng, Xiangzhu Meng, Lin Feng:
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss. - Ronal Rajneshwar Singh, Paul Dourish, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere:
Directive Explanations for Actionable Explainability in Machine Learning Applications. - Deepa Jagyasi, Marceau Coupechoux:
DNN Based Beam Selection in mmW Heterogeneous Networks. - Maël Le Treust, Tobias J. Oechtering:
Continuous Random Variable Estimation is not Optimal for the Witsenhausen Counterexample. - Manon Kok, Karsten Eckhoff, Ive Weygers, Thomas Seel:
Observability of the relative motion from inertial data in kinematic chains. - Thomas Hickman, Christian Pardillo Laursen, Simon Foster:
Certifying Differential Equation Solutions from Computer Algebra Systems in Isabelle/HOL. - Nguyen Vo, Kyumin Lee:
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection. - Dominik Dürrschnabel, Gerd Stumme:
Force-Directed Layout of Order Diagrams using Dimensional Reduction. - Chi Wang, Yunke Zhang, Miaomiao Cui, Jinlin Liu, Peiran Ren, Yin Yang, Xuansong Xie, XianSheng Hua, Hujun Bao, Weiwei Xu:
Active Boundary Loss for Semantic Segmentation. - Ali Khademi, Leszek Marcinkowski, Sanjib Kumar Acharya, Talal Rahman:
Additive Average Schwarz Method for Elliptic Mortar Finite Element Problems with Highly Heterogeneous Coefficients. - Rajesh Bordawekar, Bülent Abali, Ming-Hung Chen:
EFloat: Entropy-coded Floating Point Format for Deep Learning. - Grigorios G. Anagnostopoulos, Alexandros Kalousis:
ProxyFAUG: Proximity-based Fingerprint Augmentation. - Yeganeh Alimohammadi, Nima Anari, Kirankumar Shiragur, Thuy-Duong Vuong:
Fractionally Log-Concave and Sector-Stable Polynomials: Counting Planar Matchings and More. - Yiming Lin, Jie Shen, Yujiang Wang, Maja Pantic:
RoI Tanh-polar Transformer Network for Face Parsing in the Wild. - Jalal Sakhdari, Shaghayegh Izadpanah, Behrooz Zolfaghari, Samaneh H.-Mahdizadeh-Zargar, Mahla Rahati-Quchani, Mahsa Shadi, Saeid Abrishami, Abbas Rasoolzadegan:
Edge Computing: A Systematic Mapping Study. - Ratish Puduppully, Mirella Lapata:
Data-to-text Generation with Macro Planning. - Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi:
Multiple Criss-Cross Deletion-Correcting Codes. - Francesco Zardi, Giacomo Oliveri, Marco Salucci, Andrea Massa:
Minimum-Complexity Failure Correction in Linear Arrays via Compressive Processing. - Dongrui Wu, Weili Fang, Yi Zhang, Liuqing Yang, Xiaodong Xu, Hanbin Luo, Xiang Yu:
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review. - Song Fang, Quanyan Zhu:
Feedback Capacity of Parallel ACGN Channels and Kalman Filter: Power Allocation with Feedback. - David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. - Hongteng Xu, Dixin Luo, Hongyuan Zha:
Hawkes Processes on Graphons. - Friederike Groschupp, Moritz Schneider, Ivan Puddu, Shweta Shinde, Srdjan Capkun:
Sovereign Smartphone: To Enjoy Freedom We Have to Control Our Phones. - Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das:
Semi-Supervised Action Recognition with Temporal Contrastive Learning. - Efthymia Tsamoura, David Carral, Enrico Malizia, Jacopo Urbani:
Materializing Knowledge Bases via Trigger Graphs. - Yuval Alaluf, Or Patashnik, Daniel Cohen-Or:
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model. - Ariana Talamantes, Edgar Chávez:
Instance-based learning using the Half-Space Proximal Graph. - Jiacheng Zhuo, Jeongyeol Kwon, Nhat Ho, Constantine Caramanis:
On the computational and statistical complexity of over-parameterized matrix sensing. - (Withdrawn) Online Discrepancy Minimization via Persistent Self-Balancing Walks.
- Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, Daniel Cohen-Or:
Designing an Encoder for StyleGAN Image Manipulation. - Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
PHASER: a Robust and Correspondence-free Global Pointcloud Registration. - Jun Wang, Xiaohan Yu, Yongsheng Gao:
Mask guided attention for fine-grained patchy image classification. - Ralph L. Childress:
Recursive Prime Factorizations: Dyck Words as Numbers. - Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. - Filippo Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò, Lia Morra, Paolo Montuschi:
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication. - Sirin Botan, Ronald de Haan, Marija Slavkovik, Zoi Terzopoulou:
Egalitarian Judgment Aggregation. - Vivien Cabannes, Francis R. Bach, Alessandro Rudi:
Disambiguation of weak supervision with exponential convergence rates. - Jörn Hees, Dayananda Herurkar, Mario Meier:
RECol: Reconstruction Error Columns for Outlier Detection. - Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra:
Im2Vec: Synthesizing Vector Graphics without Vector Supervision. - Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung, Szymon Kobus, Deniz Gündüz:
Federated mmWave Beam Selection Utilizing LIDAR Data. - Ilke Çugu, Emre Akbas:
A Deeper Look into Convolutions via Pruning. - Ekdeep Singh Lubana, Puja Trivedi, Robert P. Dick:
Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning. - Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. - Clément Rebuffel, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere, Patrick Gallinari:
Controlling Hallucinations at Word Level in Data-to-Text Generation. - Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas:
SelfNorm and CrossNorm for Out-of-Distribution Robustness. - Jason D. McEwen, Christopher G. R. Wallis, Augustine N. Mavor-Parker:
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs. - Hedongliang Liu, Sabine Pircher, Alexander Zeh, Antonia Wachter-Zeh:
Decoding of (Interleaved) Generalized Goppa Codes. - Minhui Huang:
Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms. - Stephanie Hirmer, Alycia Leonard, Josephine Tumwesige, Costanza Conforti:
Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries. - Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna:
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance. - Jacob John:
Designing a Binary Clock using logic gates. - Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff:
Low-Power Status Updates via Sleep-Wake Scheduling. - Dimitris Stripelis, José Luis Ambite:
Semi-Synchronous Federated Learning. - Sonia Sehra, David Flores, George D. Montañez:
Undecidability of Underfitting in Learning Algorithms. - Fayika Farhat Nova, Michael Ann DeVito, Pratyasha Saha, Kazi Shohanur Rashid, Shashwata Roy Turzo, Sadia Afrin, Shion Guha:
"Facebook Promotes More Harassment": Social Media Ecosystem, Skill and Marginalized Hijra Identity in Bangladesh. - Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Andreas Maier:
Learning the Update Operator for 2D/3D Image Registration. - Jing Gu, Mostafa Mirshekari, Zhou Yu, Aaron Sisto:
ChainCQG: Flow-Aware Conversational Question Generation. - Nastaran Abadi Khooshemehr, Mohammad Ali Maddah-Ali:
The Discrepancy Attack on Polyshard-ed Blockchains. - Jonathan C. Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell:
Feedback in Imitation Learning: The Three Regimes of Covariate Shift. - Shahbaz Khan:
Optimal Construction of Hierarchical Overlap Graphs. - (Withdrawn) Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution.
- Stefan Lauren, Francesco Belardinelli, Francesca Toni:
Aggregating Bipolar Opinions (With Appendix). - Daniel Lenton, Fabio Pardo, Fabian Falck, Stephen James, Ronald Clark:
Ivy: Templated Deep Learning for Inter-Framework Portability. - Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. - Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He:
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed. - Jirí Balun, Tomás Masopust:
Comparing the Notions of Opacity for Discete-Event Systems. - Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone:
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment. - Roy D. Yates:
The Age of Gossip in Networks. - Joseph N. Stember, Hrithwik Shalu:
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images. - Gedeon Muhawenayo, Georgia Gkioxari:
Compressed Object Detection. - Akila de Silva, Issei Mori, Gregory Dusek, James Davis, Alex Pang:
Automated Rip Current Detection with Region based Convolutional Neural Networks. - Bilal Thonnam Thodi, Zaid Saeed Khan, Saif Eddin Jabari, Mónica Menéndez:
Incorporating Kinematic Wave Theory into a Deep Learning Method for High-Resolution Traffic Speed Estimation. - Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen:
Progressive Neural Image Compression with Nested Quantization and Latent Ordering. - Naren Srivaths Raman, Rahul Umashankar Chaturvedi, Zhong Guo, Prabir Barooah:
MPC-Based Hierarchical Control of a Multi-Zone Commercial HVAC System. - Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine:
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. - Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anil Çamci, Rada Mihalcea:
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction. - Sam Barr, Therese Biedl:
All Subgraphs of a Wheel are 5-Coupled-Choosable. - Tianqi Li, Lucas W. Krakow, Swaminathan Gopalswamy:
Optimizing Consensus-based Multi-target Tracking with Multiagent Rollout Control Policies. - Osman Din:
Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks. - Junfeng Guo, Yaswanth Yadlapalli, Lothar Thiele, Ang Li, Cong Liu:
PredCoin: Defense against Query-based Hard-label Attack. - Milan Basic, Branko Arsic, Zoran Obradovic:
Another estimation of Laplacian spectrum of the Kronecker product of graphs. - A. B. Siddique, Fuad T. Jamour, Luxun Xu, Vagelis Hristidis:
Generalized Zero-shot Intent Detection via Commonsense Knowledge. - Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew M. Botvinick:
Alchemy: A structured task distribution for meta-reinforcement learning. - Veljko Dubljevic, George F. List, Jovan Milojevich, Nirav Ajmeri, William A. Bauer, Munindar P. Singh, Eleni Bardaka, Thomas Birkland, Charles Edwards, Roger Mayer, Ioan Muntean, Thomas Powers, Hesham Rakha, Vance Ricks, M. Shoaib Samandar:
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis. - Haris Aziz, Anton Baychkov, Péter Biró:
Cutoff stability under distributional constraints with an application to summer internship matching. - Kátia Romero Felizardo, Mehwish Riaz, Muhammad Sulayman, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado:
Analysing the use of graphs to represent the results of Systematic Reviews in Software Engineering. - Peter A. Whigham, Caitlin A. Owen, Stephen G. MacDonell:
A Baseline Model for Software Effort Estimation. - Kátia Romero Felizardo, Norsaremah Salleh, Rafael Messias Martins, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado:
Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. - Emad Gad:
Characterizing Order of Convergence in the Obreshkov Method in Differential-Algebraic Equations. - Stephen G. MacDonell:
The Impact of Sampling and Rule Set Size on Generated Fuzzy Inference System Predictive Accuracy: Analysis of a Software Engineering Data Set. - Hyungho Chris Choi, Inhwan Wee, Micah Corah, Sahand Sabet, Taeyeon Kim, Thomas Touma, David Hyunchul Shim, Ali-akbar Agha-mohammadi:
BAXTER: Bi-modal Aerial-Terrestrial Hybrid Vehicle for Long-endurance Versatile Mobility: Preprint Version. - Chunmei Xu, Shengheng Liu, Zhaohui Yang, Yongming Huang, Dusit Niyato, Kai-Kit Wong:
Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation. - Tao Yu, Wenqi Li, Yi Yu, Rodrigo C. de Lamare:
Robust Adaptive Filtering Based on Exponential Functional Link Network. - Yue Yu, Shahriar Talebi, Henk J. van Waarde, Ufuk Topcu, Mehran Mesbahi, Behçet Açikmese:
On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma. - Rei Miyata, Atsushi Fujita:
Understanding Pre-Editing for Black-Box Neural Machine Translation. - Chong Xiang, Prateek Mittal:
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. - Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. - Jia-Li Zhang, Zhi-Wei Fang, Hai-Wei Sun:
Fast second-order evaluation for variable-order Caputo fractional derivative with applications to fractional sub-diffusion equations. - Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama:
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. - Motohiro Sunouchi, Masaharu Yoshioka:
Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds. - Ramy Shahin:
Towards Modal Software Engineering. - Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng:
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas:
Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO. - Jianhao Ma, Salar Fattahi:
Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau:
Optimizing RRH Placement Under a Noise-Limited Point-to-Point Wireless Backhaul. - Shukan Liu, Ruilin Xu, Boying Geng, Qiao Sun, Li Duan, Yiming Liu:
Metaknowledge Extraction Based on Multi-Modal Documents. - Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou:
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. - Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. - Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. - Peng Zhang, Yang Wang, Xutong Liu, Yanhui Li, Yibao Yang, Ziyuan Wang, Xiaoyu Zhou, Lin Chen, Yuming Zhou:
Mutant reduction evaluation: what is there and what is missing? - Masatoshi Uehara, Masaaki Imaizumi, Nan Jiang, Nathan Kallus, Wen Sun, Tengyang Xie:
Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency. - Sabah Al-Fedaghi:
UML Modeling to TM Modeling and Back. - Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. - Clemens Grabmayer:
Structure-Constrained Process Graphs for the Process Semantics of Regular Expressions. 29-45 - Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou:
Learning High Dimensional Wasserstein Geodesics. - Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. - Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng:
Deep Texture-Aware Features for Camouflaged Object Detection. - Anna Georgiadou, Spiros Mouzakitis, Dimitris Askounis:
Designing a Cyber-security Culture Assessment Survey Targeting Critical Infrastructures During Covid-19 Crisis. - Yiwei Bai, Wenting Zhao, Carla P. Gomes:
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. - Katherine Cordwell, Yong Kiam Tan, André Platzer:
A Verified Decision Procedure for Univariate Real Arithmetic with the BKR Algorithm. - T. Mizuno:
A Link Diagram Visualizing Relations between Two Ordered Sets. - Felix Klose, Oliver Wang, Jean-Charles Bazin, Marcus A. Magnor, Alexander Sorkine-Hornung:
Sampling Based Scene-Space Video Processing. - Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan:
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning. - Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat:
Fast and Memory Efficient Differentially Private-SGD via JL Projections. - Changhee Lee, Mihaela van der Schaar:
A Variational Information Bottleneck Approach to Multi-Omics Data Integration. - Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. - Kanchan Chowdhury, Ankita Sharma, Arun Deepak Chandrasekar:
Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer. - Zhengshang Liu, Yue Yang, Tim Miller, Peta Masters:
Deceptive Reinforcement Learning for Privacy-Preserving Planning. - Zhi Tian, Bowen Zhang, Hao Chen, Chunhua Shen:
Instance and Panoptic Segmentation Using Conditional Convolutions. - A. Feder Cooper, Yucheng Lu, Christopher De Sa:
Hyperparameter Optimization Is Deceiving Us, and How to Stop It. - Zezu Liang, Yuan Liu, Tat-Ming Lok, Kaibin Huang:
Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation. - Dalia Popescu, Philippe Jacquet, Bernard Mans:
Connecting flying backhauls of UAVs to enhance vehicular networks with fixed 5G NR infrastructure. - Bangti Jin, Yavar Kian, Zhi Zhou:
Reconstruction of a Space-Time Dependent Source in Subdiffusion Models via a Perturbation Approach. - Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano:
Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets. - Nae-Chyun Chen, Yu-Cheng Li, Yi-Chang Lu:
A Memory-Efficient FM-Index Constructor for Next-Generation Sequencing Applications on FPGAs. - Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Lichin Chen, Yen-Chun Lai, Bi-Fang Hsu, Nian-Jhen Lin, Wan-Lin Tsai, Yi-Lin Wu, Tzu-Ling Tzeng, Ching-Ting Tseng, Yi-Tsun Chen, Feipei Lai:
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1. - Wenting Zou, Li Li, Zichen Xu, Chengzhong Xu:
DEAL: Decremental Energy-Aware Learning in a Federated System. - Minghao Wang, Keyu Xu, Xiaohui Wang, Paolo Mengoni:
How Information Diffuse in a Nomination Network. - Julian Bernhard, Alois C. Knoll:
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving. - Sahil Verma, Michael D. Ernst, René Just:
Removing biased data to improve fairness and accuracy. - Ruizhi Li, Gregory Sell, Hynek Hermansky:
Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR. - Jonas Thiergart, Stefan Huber, Thomas Übellacker:
Understanding Emails and Drafting Responses - An Approach Using GPT-3. - Yotam Amitai, Ofra Amir:
"I Don't Think So": Disagreement-Based Policy Summaries for Comparing Agents. - Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song:
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity. - Vladimir A. Garanzha, Igor E. Kaporin, Liudmila N. Kudryavtseva, François Protais, Nicolas Ray, Dmitry Sokolov:
Foldover-free maps in 50 lines of code. - Bho Matthiesen, Yijie Mao, Petar Popovski, Bruno Clerckx:
Globally Optimal Beamforming for Rate Splitting Multiple Access. - Weilai Li, Wanli Ni, Hui Tian, Meihui Hua:
Deep Reinforcement Learning for Energy-Efficient Beamforming Design in Cell-Free Networks. - Sven Puchinger, Johan Rosenkilde:
Bounds on List Decoding of Linearized Reed-Solomon Codes. - Harshana Habaragamuwa, Yu Oishi, Kenichi Tanaka:
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders. - Li Liu, Xianghao Zhan, Rumeng Wu, Xiaoqing Guan, Zhan Wang, Wei Zhang, You Wang, Zhiyuan Luo, Guang Li:
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose. - Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. - Aurélien Alfonsi, Rafaël Coyaud, Virginie Ehrlacher:
Constrained overdamped Langevin dynamics for symmetric multimarginal optimal transportation. - Andreas Lenz, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi:
Function-Correcting Codes. - Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery. - Bho Matthiesen, Eduard A. Jorswieck, Petar Popovski:
Hierarchical Resource Allocation: Balancing Throughput and Energy Efficiency in Wireless Systems. - Jannis Körner, Anton Arnold, Kirian Döpfner:
WKB-based scheme with adaptive step size control for the Schrödinger equation in the highly oscillatory regime. - Aliakbar Akbaritabar, Dimity Stephen:
A Disciplinary View of Changes in Publications' Reference Lists After Peer Review. - Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis:
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. - Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund:
Real-World Super-Resolution of Face-Images from Surveillance Cameras. - Md. Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Multispectral Object Detection with Deep Learning. - Márton Búr, Kristóf Marussy, Brett H. Meyer, Dániel Varró:
Worst-Case Execution Time Calculation for Query-Based Monitors by Witness Generation. - Julian Bernhard, Stefan Pollok, Alois C. Knoll:
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning. - Luis M. Vaquero, Yehia Elkhatib, Félix Cuadrado:
Disaggregated Memory at the Edge. - Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll:
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning. - Rui Chen, Sanjeeb Dash, Tian Gao:
Integer Programming for Causal Structure Learning in the Presence of Latent Variables. - Marcus Niemietz, Mario Korth, Christian Mainka, Juraj Somorovsky:
Over 100 Bugs in a Row: Security Analysis of the Top-Rated Joomla Extensions. - Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang:
Graph Attention Collaborative Similarity Embedding for Recommender System. - Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Zero-shot Learning with Deep Neural Networks for Object Recognition. - Chengmin Zhou, Bingding Huang, Pasi Fränti:
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios. - Bartosz Kusmierz, Sebastian Müller, Angelo Capossele:
Committee selection in DAG distributed ledgers and applications. - Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière:
Sparse Reward Exploration via Novelty Search and Emitters. - Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. - Tiantian He, Lu Bai, Yew-Soon Ong:
Graph Joint Attention Networks. - Liqun Chen, Siaw-Lynn Ng:
Securing emergent behaviour in swarm robotics. - Kristof T. Schütt, Oliver T. Unke, Michael Gastegger:
Equivariant message passing for the prediction of tensorial properties and molecular spectra. - Minyoung Kim, Vladimir Pavlovic:
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach. - Quentin Bouniot, Romaric Audigier, Angélique Loesch:
Optimal Transport as a Defense Against Adversarial Attacks. - Wenbo Gong, Kaibo Zhang, Yingzhen Li, José Miguel Hernández-Lobato:
Active Slices for Sliced Stein Discrepancy. - Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. - Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Bin Cheng, Hongsheng Lu, Stephan ten Brink:
Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications. - Graham Campbell:
Parallel Hyperedge Replacement String Languages. 46-61 - Christopher Mitcheltree, Hideki Koike:
White-box Audio VST Effect Programming. - Thomas Maranzatto, Lev Reyzin:
Reconstructing Arbitrary Trees from Traces in the Tree Edit Distance Model. - Ryan Furlong, Vincent O'Brien, James Garland, Francisco Domínguez-Mateos:
Metric Embedding Sub-discrimination Study. - Matti Pouke, Katherine J. Mimnaugh, Alexis Chambers, Timo Ojala, Steven M. LaValle:
The Plausibility Paradox for Resized Users in Virtual Environments. - Aditya Varre, Loucas Pillaud-Vivien, Nicolas Flammarion:
Last iterate convergence of SGD for Least-Squares in the Interpolation regime. - Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang:
Reconfigurable Intelligent Surface Assisted Edge Machine Learning. - Simon Coste, Ludovic Stephan:
A simpler spectral approach for clustering in directed networks. - Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl:
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. - Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra:
Provably Efficient Algorithms for Multi-Objective Competitive RL. - Tomoya Murata, Taiji Suzuki:
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. - Stefano Zamuner, Paolo De Los Rios:
Interpretable Neural Networks based classifiers for categorical inputs. - Miroslav Kosanic, Veljko Milutinovic:
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration. - Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Jeon, Kyogu Lee:
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net. - Assyr Abdulle, Charles-Edouard Bréhier, Gilles Vilmart:
Convergence analysis of explicit stabilized integrators for parabolic semilinear stochastic PDEs. - Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Jonathan Li, José Marcato Junior, Wesley Nunes Gonçalves:
A Deep Learning Approach Based on Graphs to Detect Plantation Lines. - Sixing Yu, Arya Mazaheri, Ali Jannesari:
GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. - Ioannis Zografopoulos, Charalambos Konstantinou, Nektarios Georgios Tsoutsos, Dan Zhu, Robert Broadwater:
Security Assessment and Impact Analysis of Cyberattacks in Integrated T&D Power Systems. - Ahmad Ahmadzade, Saber Malekzadeh:
Spell Correction for Azerbaijani Language using Deep Neural Networks. - Boris Düdder, Haiqin Wu, Michael Henke, Natalia Straub, Tan Gürpinar, Philipp Asterios Ioannidis, Vladislav Fomin, Raimundas Matulevicius, Mubashar Iqbal:
BlockNet Report: Curriculum Guidance Document. - Ming Ouyang, Xuesong Shi, Yujie Wang, Yuxin Tian, Yingzhe Shen, Dawei Wang, Peng Wang:
A Collaborative Visual SLAM Framework for Service Robots. - Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang:
Multi-Task Self-Supervised Pre-Training for Music Classification. - Abhishek Sharma, Maks Ovsjanikov:
Matrix Decomposition on Graphs: A Functional View. - Vladlen Koltun, David Hafner:
The h-index is no longer an effective correlate of scientific reputation. - Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi:
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning. - Jinseok Kim, Jason Owen-Smith:
ORCID-linked labeled data for evaluating author name disambiguation at scale. - Christian M. Dahl, Torben S. D. Johansen, Emil N. Sørensen, Christian E. Westermann, Simon F. Wittrock:
Applications of Machine Learning in Document Digitisation. - Garrick Cabour, Élise Ledoux, Samuel Bassetto:
Extending System Performance Past the Boundaries of Technical Maturity: Human-Agent Teamwork Perspective for Industrial Inspection. - Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fábio Porto:
Hyperspherical embedding for novel class classification. - Saad Kriouile, Mohamad Assaad:
Minimizing the Age of Incorrect Information for Real-time Tracking of Markov Remote Sources. - Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng:
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set. - Jinseok Kim, Jenna Kim:
Effect of forename string on author name disambiguation. - Jinseok Kim:
A fast and integrative algorithm for clustering performance evaluation in author name disambiguation. - Carolina Vittoria Beccari, Giulio Casciola:
Stable numerical evaluation of multi-degree B-splines. - Jinseok Kim, Jana Diesner:
Formational bounds of link prediction in collaboration networks. - Ang A. Li, Zongqing Lu, Chenglin Miao:
Revisiting Prioritized Experience Replay: A Value Perspective. - Alireza Gharahighehi, Celine Vens:
Diversification in Session-based News Recommender Systems. - Federico Marmoreo, Jacopo Cavazza, Vittorio Murino:
Transductive Zero-Shot Learning by Decoupled Feature Generation. - Anton Mallasto:
Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals. - Lars Heling, Maribel Acosta:
A Framework for Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments. - Jinseok Kim, Jana Diesner:
Over-time measurement of triadic closure in coauthorship networks. - Jinseok Kim, Jinmo Kim, Jason Owen-Smith:
Generating automatically labeled data for author name disambiguation: An iterative clustering method. - Samir Wadhwa, Roy Dong:
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise. - Samuel Müller, André Biedenkapp, Frank Hutter:
In-Loop Meta-Learning with Gradient-Alignment Reward. - Lluís Alemany-Puig, Juan Luis Esteban, Ramon Ferrer-i-Cancho:
Minimum projective linearizations of trees in linear time. - Hyeryung Jang, Osvaldo Simeone:
Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization. - Giovanni Delnevo, Marco Roccetti, Luca Casini:
Categorical data as a stone guest in a data science project for predicting defective water meters. - Pierluigi Zama Ramirez, Alessio Tonioni, Federico Tombari:
Unsupervised Novel View Synthesis from a Single Image. - Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang:
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning. - Amir Rasouli:
Pedestrian Simulation: A Review. - Christos Tranoris:
Openslice: An opensource OSS for Delivering Network Slice as a Service. - Michael A. Alcorn, Anh Nguyen:
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling. - Lizuo Liu, Bo Wang, Wei Cai:
A Linearized Learning with Multiscale Deep Neural Network for Stationary Navier-Stokes Equations with Oscillatory Solutions. - Radu Calinescu, Naif Alasmari, Mario Gleirscher:
Maintaining driver attentiveness in shared-control autonomous driving. - Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. - Shuliang Xu, Shenglan Liu, Lin Feng:
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery. - Sylvia C. Boyd, Joseph Cheriyan, Arash Haddadan, Sharat Ibrahimpur:
A 2-Approximation Algorithm for Flexible Graph Connectivity. - Jakob Ablinger, Carsten Schneider:
Solving linear difference equations with coefficients in rings with idempotent representations. - Michal G. Ciszewski, Jakob Söhl, Geurt Jongbloed:
Improving state estimation through projection post-processing for activity recognition in football. - Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami:
Online Bin Packing with Predictions. - Surya Kant Sahu, Abhinav Java, Arshad Shaikh:
On The Connection of Benford's Law and Neural Networks. - Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark:
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. - Winston Chou:
Randomized Controlled Trials with Minimal Data Retention. - Nathan F. Lepora, Andrew Stinchcombe, Chris Ford, Alfred Brown, John Lloyd, Manuel G. Catalano, Matteo Bianchi, Benjamin Ward-Cherrier:
Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands. - Luciano da F. Costa:
Complex Networks of Functions. - Yorick Zeschke:
Growth Functions, Rates and Classes of String-Based Multiway Systems. - Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri:
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. - Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson:
GIBBON: General-purpose Information-Based Bayesian OptimisatioN. - Wei Jiang, Hans Dieter Schotten:
Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning. - Edouard Capellier, Franck Davoine, Véronique Cherfaoui, You Li:
Fusion of neural networks, for LIDAR-based evidential road mapping. - Siyuan Liu, Navid Noroozi, Majid Zamani:
Symbolic Models for Infinite Networks of Control Systems: A Compositional Approach. - Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu:
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review. - Maria Francis, Thibaut Verron:
On Two Signature Variants Of Buchberger's Algorithm Over Principal Ideal Domains. - Siyuan Shan, Junier B. Oliva:
NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data. - HeeJong Park, Arvind Easwaran, Sidharta Andalam:
Challenges in Digital Twin Development for Cyber-Physical Production Systems. - Christof Ferreira Torres, Ramiro Camino, Radu State:
Frontrunner Jones and the Raiders of the Dark Forest: An Empirical Study of Frontrunning on the Ethereum Blockchain. - Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar:
On the Reproducibility of Neural Network Predictions. - Wenlong Liao, Yusen Wang, Yuelong Wang, Kody M. Powell, Qi Liu:
Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks. - Satyam Dwivedi, Ritesh Shreevastav, Florent Munier, Johannes Nygren, Iana Siomina, Mohammed Yazid Lyazidi, Deep Shrestha, Gustav Lindmark, Per Ernström, Erik Stare, Sara Modarres Razavi, Siva D. Muruganathan, Gino Masini, Åke Busin, Fredrik Gunnarsson:
Positioning in 5G networks. - Manuel López-Ibáñez, Jürgen Branke, Luís Paquete:
Reproducibility in Evolutionary Computation. - Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu:
Robust Single-step Adversarial Training with Regularizer. - Tu Le, Danny Yuxing Huang, Noah J. Apthorpe, Yuan Tian:
SkillBot: Identifying Risky Content for Children in Alexa Skills. - Minhui Huang, Shiqian Ma, Lifeng Lai:
Projection Robust Wasserstein Barycenters. - Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Hamed Tabkhi:
Single Run Action Detector over Video Stream - A Privacy Preserving Approach. - Abhishek Bihani, Hugh Daigle, Javier E. Santos, Christopher Landry, Masa Prodanovic, Kitty Milliken:
MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning. - Francesco Malandrino, Carla-Fabiana Chiasserini, Nuria Molner, Antonio de la Oliva:
Network Support for High-performance Distributed Machine Learning. - Shuhao Cao, Long Chen, Xuehai Huang:
Error analysis of a decoupled finite element method for quad-curl problems. - Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. - Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles. - Júlio Araújo, Marin Bougeret, Victor A. Campos, Ignasi Sau:
Parameterized complexity of computing maximum minimal blocking and hitting sets. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Throughput Maximization of Network-Coded and Multi-Level Cache-Enabled Heterogeneous Network. - Adam Santoro, Andrew K. Lampinen, Kory W. Mathewson, Timothy P. Lillicrap, David Raposo:
Symbolic Behaviour in Artificial Intelligence. - Wei Jiang, Hans Dieter Schotten:
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection. - Michael Bartholic, Zhengrong Gu, Jianan Su, Justin Goldstein, Shin'ichiro Matsuo:
Smart Auto Insurance: High Resolution, Dynamic, Privacy-Driven, Telematic Insurance. - William Briguglio, Parisa Moghaddam, Waleed A. Yousef, Issa Traoré, Mohammad Mamun:
Machine Learning in Precision Medicine to Preserve Privacy via Encryption. - Piotr Rzeszut, Jakub Checinski, Ireneusz Brzozowski, Slawomir Zietek, Witold Skowronski, Tomasz Stobiecki:
Multi-state MRAM cells for hardware neuromorphic computing. - Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton:
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. - Alexander Weiss, Smitha Gautham, Athira Varma Jayakumar, Carl R. Elks, D. Richard Kuhn, Raghu N. Kacker, Thomas B. Preußer:
Understanding and Fixing Complex Faults in Embedded Cyberphysical Systems. - Ye Zhu, Yu Wu, Hugo Latapie, Yi Yang, Yan Yan:
Learning Audio-Visual Correlations from Variational Cross-Modal Generation. - Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai:
Gridded UAV Swarm for Secrecy Rate Maximization with Unknown Eavesdropper. - Juan D. García-Arteaga, Valentina Pellegrino:
A Network Based Approach to Characterize Twenty-First-Century Populism in Colombia. - Johannes Gerster, Marcel Sarstedt, Eric M. S. P. Veith, Sebastian Lehnhoff, Lutz Hofmann:
Pointing out the Convolution Problem of Stochastic Aggregation Methods for the Determination of Flexibility Potentials at Vertical System Interconnections. - Aritra Konar, Nicholas D. Sidiropoulos:
Exploring the Subgraph Density-Size Trade-off via the Lovász Extension. - Yan Lu, Yuanchao Shu:
Custom Object Detection via Multi-Camera Self-Supervised Learning. - Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi:
LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. - Dominik Drees, Aaron Scherzinger, René Hägerling, Friedemann Kiefer, Xiaoyi Jiang:
Scalable Robust Graph and Feature Extraction for Arbitrary Vessel Networks in Large Volumetric Datasets. - Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash:
Federated Reconstruction: Partially Local Federated Learning. - Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang:
Wasserstein diffusion on graphs with missing attributes. - Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura E. Barnes, Mehdi Boukhechba:
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. - Neeraj Kumar, Stavros Sintos, Subhash Suri:
The Maximum Exposure Problem. - Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele:
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. - Theodor Cimpeanu, Cedric Perret, The Anh Han:
Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game. - Stephan C. Meylan, Ruthe Foushee, Elika Bergelson, Roger P. Levy:
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication. - Tristan Cazenave:
Improving Model and Search for Computer Go. - Tohid Khalili, Hamed Ganjeh Ganjehlou, Ali Bidram, Sayyad Nojavan, Somayeh Asadi:
Financial Risk-Based Scheduling of Microgrids Accompanied by Surveying the Influence of the Demand Response Program. - Jeancarlo Campos Leão, Alberto H. F. Laender, Pedro O. S. Vaz de Melo:
Overcoming Bias in Community Detection Evaluation. - Jian Hu, Haibin Wu, Seth Austin Harding, Siyang Jiang, Shih-wei Liao:
RIIT: Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning. - Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama:
Understanding the Interaction of Adversarial Training with Noisy Labels. - Haowei Sun, Shuo Feng, Xintao Yan, Henry X. Liu:
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles. - Madhusudan Kumar Sinha, Arun Pachai Kannu:
Communications using Sparse Signals. - Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li:
FFConv: Fast Factorized Neural Network Inference on Encrypted Data. - Junyi An, Fengshan Liu, Jian Zhao, Furao Shen:
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks. - Nima Nikmehr, Mikhail A. Bragin, Peter B. Luh, Peng Zhang:
Distributed and Asynchronous Operational Optimization of Networked Microgrids. - Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan:
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization. - Xin Yi, Bo Ma, Yulin Zhang, Longyao Liu, Jiahao Wu:
Two-Step Image Dehazing with Intra-domain and Inter-domain Adaption. - Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh, Hong-Han Shuai, Jiaying Liu, Wen-Huang Cheng:
Template-Free Try-on Image Synthesis via Semantic-guided Optimization. - Johan Helsing, Shidong Jiang:
Solving Fredholm second-kind integral equations with singular right-hand sides on non-smooth boundaries. - Sameera Ramasinghe, Kasun Fernando, Salman H. Khan, Nick Barnes:
Robust normalizing flows using Bernstein-type polynomials. - Yuichi Komorida:
Injective Objects and Fibered Codensity Liftings. - Amit Satish Unde, Renu M. Rameshan:
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking. - Sikha Pentyala, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Video Classification with Convolutional Neural Networks. - Ulrich Langer, Olaf Steinbach, Huidong Yang:
Robust discretization and solvers for elliptic optimal control problems with energy regularization. - Xiling Li, Rafael Dowsley, Martine De Cock:
Privacy-Preserving Feature Selection with Secure Multiparty Computation. - Chengyuan Ma, Chunhui Yu, Xiaoguang Yang:
Trajectory Planning for Connected and Automated Vehicles at Isolated Signalized Intersections under Mixed Traffic Environment. - Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig S. Rose, Braden Moore, Kelsey Magrane:
Video-based Hierarchical Species Classification for Longline Fishing Monitoring. - Yuan Tian, Lianjun Li, Andrea Fumagalli, Yonas Tanesse, Balakrishnan Prabhakaran:
Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control. - Xiaoxuan Lou, Shangwei Guo, Tianwei Zhang, Yinqian Zhang, Yang Liu:
When NAS Meets Watermarking: Ownership Verification of DNN Models via Cache Side Channels. - Kaidi Cao, Maria Brbic, Jure Leskovec:
Open-World Semi-Supervised Learning. - Zeyu Jin, Ruo Li:
High Order Numerical Homogenization for Dissipative Ordinary Differential Equations. - Martin Suda:
Vampire With a Brain Is a Good ITP Hammer. - Zhian Kuang, Xiang Zhang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators. - Gennaro Cordasco, Luisa Gargano, Adele Anna Rescigno:
Parameterized Complexity of Immunization in the Threshold Model. - Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang:
Sill-Net: Feature Augmentation with Separated Illumination Representation. - Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka:
Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems. - Seonghoon Jeong, Boosun Jeon, Boheung Chung, Huy Kang Kim:
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks. - Yuan-Hang Zhang, Massimiliano Di Ventra:
Directed percolation and numerical stability of simulations of digital memcomputing machines. - Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang:
UniFuse: Unidirectional Fusion for 360° Panorama Depth Estimation. - Ernie Chang, Vera Demberg, Alex Marin:
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling. - Ernie Chang, Hui-Syuan Yeh, Vera Demberg:
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. - Davide Andrea Guastella:
Scheduling Plans of Tasks. - Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su:
Neural Data-to-Text Generation with LM-based Text Augmentation. - Nan Jiang, Xuehui Yu, Xiaoke Peng, Yuqi Gong, Zhenjun Han:
SM+: Refined Scale Match for Tiny Person Detection. - Edward J. Oughton:
Policy options for digital infrastructure strategies: A simulation model for broadband universal service in Africa. - Yan Dong:
Standard and Event Cameras Fusion for Dense Mapping. - Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Guanrong Chen:
Opinion Dynamics Incorporating Higher-Order Interactions. - Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu:
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient. - Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. - Phoomraphee Luenam, Yau Pun Chen, Raymond Chi-Wing Wong:
Approximating Happiness Maximizing Set Problems. - Huilian Zhang, Xiaofan He, Qingqing Wu, Huaiyu Dai:
Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing. - Seung Gyu Hyun, Vincent Neiger, Éric Schost:
Algorithms for Linearly Recurrent Sequences of Truncated Polynomials. - Salar Fattahi, Andrés Gómez:
Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. - Zenghao Chai, Chun Yuan, Zhihui Lin, Yunpeng Bai:
CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction. - Ayan Sengupta, Yasser Mohammad, Shinji Nakadai:
An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism. - Lutfi Kerem Senel, Hinrich Schütze:
Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models. - Frank D. Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide:
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues. - Umair Zulfiqar, Victor Sreeram, Xin Du:
Frequency- and Time-limited H2-optimal Model Order Reduction within Projection Framework. - Maya Slamovich, Ram Zamir:
Frame Based Codes for Partially Active NOMA. - Manohar Kaul, Masaaki Imaizumi:
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach. - Steven Dahdah, James Richard Forbes:
Linear Matrix Inequality Approaches to Koopman Operator Approximation. - Jérémie Lagravière, Johannes Langguth, Martina Prugger, Phuong Hoai Ha, Xing Cai:
A Newcomer In The PGAS World - UPC++ vs UPC: A Comparative Study. - Dibakar Das, Mohammad Fahad Imteyaz, Jyotsna Bapat, Debabrata Das:
A Data Augmented Bayesian Network for Node Failure Prediction in Optical Networks. - Anirban Das, Stacy Patterson:
Multi-Tier Federated Learning for Vertically Partitioned Data. - Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl:
Deep Semi-Supervised Learning for Time Series Classification. - Daniel Oliveira, Tiago Gomes, Sandro Pinto:
uTango: an open-source TEE for the Internet of Things. - Zakaria Patel, Markus Rummel:
Extremal learning: extremizing the output of a neural network in regression problems. - Jesus G. Cruz-Garza, Michael Darfler, James D. Rounds, Elita Gao, Saleh Kalantari:
EEG-based Investigation of the Impact of Classroom Design on Cognitive Performance of Students. - Jianli Pan, Jianyu Wang, Ismail AlQerm, Yuanni Liu, Zhicheng Yang:
ORCA: Enabling an Owner-centric and Data-driven Management Paradigm for Future Heterogeneous Edge-IoT Systems. - Irene Rivas-Blanco, Carlos Jesús Pérez-del-Pulgar, Andrea Mariani, Claudio Quaglia, Giuseppe Tortora, Arianna Menciassi, Victor F. Muñoz:
A surgical dataset from the da Vinci Research Kit for task automation and recognition. - De Huang, Jonathan Niles-Weed, Rachel A. Ward:
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates. - Diana Manvelyan, Bernd Simeon, Utz Wever:
An Efficient Model Order Reduction Scheme for Dynamic Contact in Linear Elasticity. - Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis:
Under the Spotlight: Web Tracking in Indian Partisan News Websites. - Patrick Kidger, James Foster, Xuechen Li, Harald Oberhauser, Terry J. Lyons:
Neural SDEs as Infinite-Dimensional GANs. - Anastasia Kuznetsova, Anurag Kumar, Francis M. Tyers:
A bandit approach to curriculum generation for automatic speech recognition. - Dylan Bates:
Recommending More Efficient Workflows to Software Developers. - Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova:
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution. - Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Emergency Department Optimization and Load Prediction in Hospitals. - Leena Mathur, Maja J. Mataric:
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection. - Amy Nesky, Quentin F. Stout:
Generating Artificial Core Users for Interpretable Condensed Data. - Jukka Ruohonen:
A Review of Product Safety Regulations in the European Union. - James Yang:
FastAD: Expression Template-Based C++ Library for Fast and Memory-Efficient Automatic Differentiation. - Qifa Yan, Daniela Tuninetti:
Robust and Secure Cache-aided Private Linear Function Retrieval from Coded Servers. - Tanja Schultz, Felix Putze, Thorsten Fehr, Moritz Meier, Celeste Mason, Florian Ahrens, Manfred Herrmann:
Linking Labs: Interconnecting Experimental Environments. - Lei Yan, Theodoros Stouraitis, Sethu Vijayakumar:
Decentralized Ability-Aware Adaptive Control for Multi-robot Collaborative Manipulation. - Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham:
What's in a Name? - Gender Classification of Names with Character Based Machine Learning Models. - Shaoshi Chen, Ruyong Feng, Pingchuan Ma, Michael F. Singer:
Separability Problems in Creative Telescoping. - Fredrik Westling, James Patrick Underwood, Mitch Bryson:
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees. - Jialun Aaron Jiang, Kandrea Wade, Casey Fiesler, Jed R. Brubaker:
Supporting Serendipity: Opportunities and Challenges for Human-AI Collaboration in Qualitative Analysis. - Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh:
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics. - Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld:
Classification based on Topological Data Analysis. - Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi:
HGAN: Hybrid Generative Adversarial Network. - Gabriele Pozzato, Seong Beom Lee, Simona Onori:
Modeling Degradation for Second-life Battery: Preliminary Results. - Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng:
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. - Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. - Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla:
An Analysis of Frame-skipping in Reinforcement Learning. - Siddharth Aravindan, Wee Sun Lee:
State-Aware Variational Thompson Sampling for Deep Q-Networks. - Kentaro Sako, Shin'ichiro Matsuo, Sachin Meier:
Fairness in ERC token markets: A Case Study of CryptoKitties. - Zhongyuan Hau, Kenneth T. Co, Soteris Demetriou, Emil C. Lupu:
Object Removal Attacks on LiDAR-based 3D Object Detectors. - Ping Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan:
SR-Affine: High-quality 3D hand model reconstruction from UV Maps. - Bo Yang, Hengwei Zhang, Yuchen Zhang, Kaiyong Xu, Jindong Wang:
Adversarial example generation with AdaBelief Optimizer and Crop Invariance. - Buu Phan, Fahim Mannan, Felix Heide:
Adversarial Imaging Pipelines. - Hong-lin Liao, Bingquan Ji, Lin Wang, Zhimin Zhang:
Mesh-robustness of the variable steps BDF2 method for the Cahn-Hilliard model. - Zhiyuan Liu, Yankai Lin, Maosong Sun:
Representation Learning for Natural Language Processing. - Shubhada Agrawal, Sandeep Juneja, Wouter M. Koolen:
Regret Minimization in Heavy-Tailed Bandits. - Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu:
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering. - Geza Kovacs:
Reconstructing Detailed Browsing Activities from Browser History. - Chengquan Ju:
Hierarchically Coordinated Energy Management for A Regional Multi-microgrid Community. - Jie Li, Yu Hu:
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds. - Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. - Somil Gupta, Neeraj Sharma:
Role of Attentive History Selection in Conversational Information Seeking. - Lorenzo Ghiro, Francesco Restuccia, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia, Leonardo Maccari, Renato Lo Cigno:
What is a Blockchain? A Definition to Clarify the Role of the Blockchain in the Internet of Things. - Hossein Ahmadvand, Fouzhan Foroutan, Mahmood Fathy:
DV-DVFS: Merging Data Variety and DVFS Technique to Manage the Energy Consumption of Big Data Processing. - YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. - Emma Perracchione, Anna Maria Massone, Michele Piana:
Feature augmentation for the inversion of the Fourier transform with limited data. - Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou:
Non-stationary Online Learning with Memory and Non-stochastic Control. - Royee Yosibash, Ram Zamir:
Coded Computing with Noise. - Andrea Iannelli, Urban Fasel, Roy S. Smith:
The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems. - Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel:
Deep Reinforcement Learning with Dynamic Optimism. - Yue Pan, Pengchuan Xiao, Yujie He, Zhenlei Shao, Zesong Li:
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square. - Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto:
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. - Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka:
Hyperparameter Optimization with Differentiable Metafeatures. - Zhen Liang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Shin Ishii:
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition. - Subhankar Ghosh:
Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning. - Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener:
Design of Dynamic Experiments for Black-Box Model Discrimination. - Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou:
Robust Explanations for Private Support Vector Machines. - Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin:
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. - Miguel Ruiz-Garcia, Ge Zhang, Samuel S. Schoenholz, Andrea J. Liu:
Tilting the playing field: Dynamical loss functions for machine learning. - Yu Han, Shizhan Lu, Haiyan Xu:
A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle. - Subhradeep Kayal:
Unsupervised Sentence-embeddings by Manifold Approximation and Projection. - Akinari Onishi:
Brain-computer interface with rapid serial multimodal presentation using artificial facial images and voice. - Han Wang, Chen Wang, Lihua Xie:
Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment. - Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. - Han Wang, Chen Wang, Lihua Xie:
Lightweight 3-D Localization and Mapping for Solid-State LiDAR. - Kailiang Wu:
Minimum Principle on Specific Entropy and High-Order Accurate Invariant Region Preserving Numerical Methods for Relativistic Hydrodynamics. - Mark Kozdoba, Shie Mannor:
Dimension Free Generalization Bounds for Non Linear Metric Learning. - Uri Sherman, Tomer Koren:
Lazy OCO: Online Convex Optimization on a Switching Budget. - Dongjiao He, Wei Xu, Fu Zhang:
Embedding manifold structures into Kalman filters. - Freya Behrens, Stefano Teso, Davide Mottin:
Bandits for Learning to Explain from Explanations. - Pranav U. Gadikar, Patrick Diehl, Prashant K. Jha:
Load balancing for distributed nonlocal models within asynchronous many-task systems. - Jason P. Bell, Jeffrey O. Shallit:
Lie complexity of words. - Mirco Giacobbe, Daniel Kroening, Julian Parsert:
Neural Termination Analysis. - Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. - Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. - Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Learning to Decode Protograph LDPC Codes. - Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. - Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable:
Asynchronous semi-anonymous dynamics over large-scale networks. - (Withdrawn) Estimate The Efficiency Of Multiprocessor's Cash Memory Work Algorithms.
- Tingting Zeng, Prabir Barooah:
An adaptive MPC scheme for energy-efficient control of building HVAC systems. - Siddharth Gupta, Meirav Zehavi:
Multivariate Analysis of Scheduling Fair Competitions. - Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed:
Damage detection using in-domain and cross-domain transfer learning. - Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel:
Dynamic Movement Primitives in Robotics: A Tutorial Survey. - Dave Dice, Alex Kogan:
Hemlock : Compact and Scalable Mutual Exclusion. - Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. - Muhammad Firoz Mridha, Abu Quwsar Ohi, M. Ameer Ali, Muhammad Mostafa Monowar, Md. Abdul Hamid:
U-vectors: Generating clusterable speaker embedding from unlabeled data. - Tristan Deleu, Yoshua Bengio:
Structured Sparsity Inducing Adaptive Optimizers for Deep Learning. - Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee:
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. - Wlodek W. Zadrozny:
A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems. - Allen Bao, Marshall Ho, Saarthak Sangamnerkar:
Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews. - Yazan K. Qarout, Yordan P. Raykov, Max A. Little:
Few-shot time series segmentation using prototype-defined infinite hidden Markov models. - Minfang Lu, Fengyang Sun, Lin Wang, Bo Yang, Shuangrong Liu:
Black-Box Optimization via Generative Adversarial Nets. - Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto Jr., Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich:
Machine Learning Methods for Histopathological Image Analysis: A Review. - Minh-Quan Tran, Ahmed S. Zamzam, Phuong H. Nguyen:
Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks. - Simon Zhuang, Dylan Hadfield-Menell:
Consequences of Misaligned AI. - Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel:
Self-supervised driven consistency training for annotation efficient histopathology image analysis. - Rodolfo Quispe, Cuiling Lan, Wenjun Zeng, Hélio Pedrini:
AttributeNet: Attribute Enhanced Vehicle Re-Identification. - Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention. - Samuel Epstein:
Quantum Algorithmic Information Theory. - Emmanouel T. Michailidis, Nikolaos I. Miridakis, Angelos Michalas, Emmanouil Skondras, Dimitrios J. Vergados, Dimitrios D. Vergados:
Energy Optimization in Massive MIMO UAV-Aided MEC-Enabled Vehicular Networks. - Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu:
Meta-Learning with Neural Tangent Kernels. - Shangyu Xie, Bingyu Liu, Yuan Hong:
Privacy-preserving Cloud-based DNN Inference. - Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto:
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. - Roman Malashin:
Sparsely ensembled convolutional neural network classifiers via reinforcement learning. - Aleksey Fedoseev, Valerii Serpiva, Ekaterina Karmanova, Miguel Altamirano Cabrera, Vladimir Shirokun, Iakov Vasilev, Stanislav Savushkin, Dzmitry Tsetserukou:
DroneTrap: Drone Catching in Midair by Soft Robotic Hand with Color-Based Force Detection and Hand Gesture Recognition. - Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang:
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve. - Kaiyi Ji, Yingbin Liang:
Lower Bounds and Accelerated Algorithms for Bilevel Optimization. - Thomas Hardjono:
Blockchain Gateways, Bridges and Delegated Hash-Locks. - Mario Sznaier:
A Convex Optimization Approach to Learning Koopman Operators. - Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas. - Eva Cetinic:
Iconographic Image Captioning for Artworks. - M. Andrecut:
Additive Feature Hashing. - Trenton Ford, Rachel Krohn, Tim Weninger:
Competition Dynamics in the Meme Ecosystem. - Eduardo Velloso, Carlos Hitoshi Morimoto:
A Probabilistic Interpretation of Motion Correlation Selection Techniques. - Ivine Kuruvila, Jan Muncke, Eghart Fischer, Ulrich Hoppe:
Extracting the Locus of Attention at a Cocktail Party from Single-Trial EEG using a Joint CNN-LSTM Model. - Tsuyoshi Yoshida, Koji Igarashi, Magnus Karlsson, Erik Agrell:
Compressed Shaping: Concept and FPGA Demonstration. - Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. - Fanxu Meng:
Quantum Algorithm for DOA Estimation in Hybrid Massive MIMO. - Tai Liu, Zain Tariq, Barath Raghavan, Jay Chen:
Migration in the Stencil Pluralist Cloud Architecture. - Rafael Castillo-Sierra, Giri Venkataramanan:
A Comparative Evaluation of Power Converter Circuits to Increase the Power Transfer Capability of High Voltage Transmission Lines. - An Xu, Heng Huang:
Double Momentum SGD for Federated Learning. - Xin Zhao, Lin Wang, Jifeng Guo, Bo Yang, Junteng Zheng, Fanqi Li:
Solid Texture Synthesis using Generative Adversarial Networks. - Harbir Antil, Howard C. Elman, Akwum Onwunta, Deepanshu Verma:
Novel Deep neural networks for solving Bayesian statistical inverse. - Shuvayan Banerjee, Radhe Srivastava, Ajit Rajwade:
Reconstruction of Sparse Signals under Gaussian Noise and Saturation. - Koh Takeuchi:
Ryo Nishida: Hisashi Kashima: Masaki Onishi: Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. - Jinjiang Guo, Vincent Vidal, Irene Cheng, Anup Basu, Atilla Baskurt, Guillaume Lavoué:
Subjective and Objective Visual Quality Assessment of Textured 3D Meshes. - Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. - Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. - Erik Blasch, James Sung, Tao Nguyen:
Multisource AI Scorecard Table for System Evaluation. - Jiantao Wu, Lin Wang, Chunxiuzi Liu:
DEFT: Distilling Entangled Factors. - Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao:
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. - Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima:
Ising Model Selection Using 𝓁1-Regularized Linear Regression. - Haishan Ye, Tong Zhang:
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate. - Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li:
Measuring Place Connectivity Using Big Social Media Data. - Babak Maser, Andreas Uhl:
Identifying the Origin of Finger Vein Samples Using Texture Descriptors. - Ruiqi Chen, Atiqul Islam, Tom Gedeon, Md. Zakir Hossain:
Observers Pupillary Responses in Recognising Real and Posed Smiles: A Preliminary Study. - Hayden Cheers, Yuqing Lin, Shamus P. Smith:
Academic Source Code Plagiarism Detection by Measuring Program Behavioural Similarity. - Hayden Cheers, Yuqing Lin, Shamus P. Smith:
Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications. - Obed Rhesa Ludwiniananda, Ning Liu, Khoirul Anwar, Brian M. Kurkoski:
Design of Polar Code Lattices of Small Dimension. - Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han:
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. - Seungwoong Ha, Hawoong Jeong:
Discovering conservation laws from trajectories via machine learning. - Di Wu, Liang Ding, Shuo Yang, Dacheng Tao:
SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. - Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li:
Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. - ShangBei Wang:
From Matching Logic To Parallel Imperative Language Verification. - Rohit Kumar Sachan, Dharmender Singh Kushwaha:
Nature-Inspired Optimization Algorithms: Research Direction and Survey. - Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua:
Point-set Distances for Learning Representations of 3D Point Clouds. - Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes:
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval. - Mateen Ulhaq, Ivan V. Bajic:
Analysis of Latent-Space Motion for Collaborative Intelligence. - Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia:
Quality Estimation without Human-labeled Data. - Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. - Scott Sun, Dennis Melamed, Kris Kitani:
IDOL: Inertial Deep Orientation-Estimation and Localization. - Martin Damrath, Peter Adam Hoeher:
Max-log APP Detection for Non-bijective Symbol Constellations. - Dibyendu Mishra, Syeda Zainab Akbar, Arshia Arya, Saloni Dash, Rynaa Grover, Joyojeet Pal:
Rihanna versus Bollywood: Twitter Influencers and the Indian Farmers' Protest. - Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. - Andrew W. Palmer, Albi Sema, Wolfram Martens, Peter Rudolph, Wolfgang Waizenegger:
The Autonomous Siemens Tram. - Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou:
In-game Residential Home Planning via Visual Context-aware Global Relation Learning. - Yuanzhi Liu, Yujia Fu, Fengdong Chen, Bart Goossens, Wei Tao, Hui Zhao:
Datasets and Evaluation for Simultaneous Localization and Mapping Related Problems: A Comprehensive Survey. - Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. - Cheng-Yu Pai, Chao-Yu Chen:
Two-Dimensional Golay Complementary Array Sets from Generalized Boolean Functions. - Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma:
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration. - Tom Hess, Michal Moshkovitz, Sivan Sabato:
A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order. - Yota Ueda, Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi, Yukino Baba, Hiroshi Saruwatari:
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception. - Micah Corah:
Sensor Planning for Large Numbers of Robots. - Chenxing Li, Jiaming Xu, Nima Mesgarani, Bo Xu:
Speaker and Direction Inferred Dual-channel Speech Separation. - Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving filling level classification with adversarial training. - Maxime Ferrera, Alexandre Eudes, Julien Moras, Martial Sanfourche, Guy Le Besnerais:
OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications. - Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Feipei Lai:
An Update of a Progressively Expanded Database for Automated Lung Sound Analysis. - Alex Auvolat, Yérom-David Bromberg, Davide Frey, François Taïani:
BASALT: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks. - Dawei Leng, Jinjiang Guo, Lurong Pan, Jie Li, Xinyu Wang:
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations. - Yang Wei, Yuanbin Wu, Man Lan:
In-Order Chart-Based Constituent Parsing. - Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel:
Blue Noise Plots. - Marcus Hutter:
Learning Curve Theory. - Kai Chen, Qi Lv, Taihe Yi, Zhengming Yi:
Reliable Probabilistic Face Embeddings in the Wild. - (Withdrawn) OntoEnricher: A Deep Learning Approach for Ontology Enrichment from Unstructured Text.
- Elias Jarlebring, Siobhán Correnty:
Infinite GMRES for parameterized linear systems. - Elena Luna, Juan C. SanMiguel, José M. Martínez, Marcos Escudero-Viñolo:
Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVs. - Abdelamin Laouar, Isma Bouchemakh, Éric Sopena:
On the Broadcast Independence Number of Circulant Graphs. - Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. - Onno Eberhard, Torsten Zesch:
Effects of Layer Freezing when Transferring DeepSpeech to New Languages. - Hélène Fargier, Jérôme Mengin:
A Knowledge Compilation Map for Conditional Preference Statements-based Languages. - Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix A. Gers, Alexander Löser:
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration. - Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. - Georg Ahnert, Ivan Smirnov, Florian Lemmerich, Claudia Wagner, Markus Strohmaier:
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness. - D. Fompeyrine, E. S. Vorm, N. Ricka, F. Rose, G. Pellegrin:
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs). - Yijie Guo, Mingguo Zhao:
Fast Online Planning for Bipedal Locomotion via Centroidal Model Predictive Gait Synthesis. - Stefano De Marchi, Giacomo Elefante, Francesco Marchetti:
On (β, γ)-Chebyshev functions and points of the interval. - Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano:
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. - Michelle Muniz, Matthias Ehrhardt, Michael Günther, Renate Winkler:
Higher Strong Order Methods for Itô SDEs on Matrix Lie Groups. - Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang:
Near-optimal Representation Learning for Linear Bandits and Linear RL. - Joël Bachmann, Kenneth Blomqvist, Julian Förster, Roland Siegwart:
Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds. - Tommaso Sorgente, Silvia Biasotti, Gianmarco Manzini, Michela Spagnuolo:
The role of mesh quality and mesh quality indicators in the Virtual Element Method. - Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie:
APS: A Large-Scale Multi-Modal Indoor Camera Positioning System. - Xinlei He, Yang Zhang:
Quantifying and Mitigating Privacy Risks of Contrastive Learning. - Angelos-Christos G. Anadiotis, Oana Balalau, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad, Stephane Horel, Ioana Manolescu, Youssr Youssef:
Empowering Investigative Journalism with Graph-based Heterogeneous Data Management. - Bruno D. Abrahao, Zheng Wang, Haider Ahmed, Yuchen Zhu:
Model Rectification via Unknown Unknowns Extraction from Deployment Samples. - Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review. - Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. - Jan Hendrik Metzen, Maksym Yatsura:
Efficient Certified Defenses Against Patch Attacks on Image Classifiers. - Bertrand Teguia Tabuguia, Wolfram Koepf:
Symbolic computation of hypergeometric type and non-holonomic power series. - Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. - Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani:
User Engagement Prediction for Clarification in Search. - V. Domínguez, M. Ganesh:
Analysis and application of an overlapped FEM-BEM for wave propagation in unbounded and heterogeneous media. - Kefan Dong, Jiaqi Yang, Tengyu Ma:
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. - Johannes Jakubik, Adrian Binding, Stefan Feuerriegel:
Directed particle swarm optimization with Gaussian-process-based function forecasting. - Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta:
Improving Artificial Teachers by Considering How People Learn and Forget. - Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva:
Plotting time: On the usage of CNNs for time series classification. - Guillaume Moroz:
Fast real and complex root-finding methods for well-conditioned polynomials. - Eleonora Guerrini, Romain Lebreton, Ilaria Zappatore:
Polynomial Linear System Solving with Random Errors: new bounds and early termination technique. - Luiz F. Afra Brito, Marcelo Keese Albertini, Arnaud Casteigts, Bruno A. N. Travençolo:
A Dynamic Data Structure for Temporal Reachability with Unsorted Contact Insertions. - Dave Dice, Alex Kogan:
Compact Java Monitors. - Alaa Abd Elhamid Radwan, Mohammad Tabrez Quasim:
Toward Semantic Representation of Middleware Services. - Vinod S. Khandkar, Manjesh Kumar Hanawal:
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool. - Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. - Jaehun Ryu, Hyojin Sung:
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks. - Olivier Rioul:
Variations on a Theme by Massey. - Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh:
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems. - Dario Ortega Anderez, Eiman Kanjo, Amna Anwar, Shane D. Johnson, David Lucy:
The Rise of Technology in Crime Prevention: Opportunities, Challenges and Practitioners Perspectives. - Minghao Wang, Paolo Mengoni:
How Pandemic Spread in News: Text Analysis Using Topic Model. - Shreekanth M. Prabhu:
Transforming India's Agricultural Sector using Ontology-based Tantra Framework. - Daniel Hesslow, Iacopo Poli:
Contrastive Embeddings for Neural Architectures. - Michael T. Stuart, Markus Kneer:
Guilty Artificial Minds. - Dimitri Ognibene, Davide Taibi, Udo Kruschwitz, Rodrigo Souza Wilkens, Davinia Hernández-Leo, Emily Theophilou, Lidia Scifo, Rene Alejandro Lobo Quintero, Francesco Lomonaco, Sabrina C. Eimler, Heinz Ulrich Hoppe, Nils Malzahn:
Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion. - Abigale Kim, Fateme Nikseresht, Janine M. Dutcher, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey Creswel, J. David Creswell, Anind K. Dey, Jennifer Mankoff, Afsaneh Doryab:
Understanding health and behavioral trends of successful students through machine learning models. - Peter Mantello, Manh-Tung Ho, Minh Hoang Nguyen, Quan-Hoang Vuong:
My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management. - Gabriele Sottocornola, Fabio Stella, Markus Zanker:
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases. - Jamie Harris, Jacy Reese Anthis:
The Moral Consideration of Artificial Entities: A Literature Review. - Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce E. Balls-Berry, Rui Zhang:
Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review. - Rajvardhan Oak:
The Fault in the Stars: Understanding the Underground Market of Amazon Reviews. - Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. - Bran Knowles, John T. Richards:
The Sanction of Authority: Promoting Public Trust in AI. - Shoffan Saifullah:
Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media. - Yonghyun Kim, Wonpyo Park:
Multi-level Distance Regularization for Deep Metric Learning. - David Cohen, Annika Lang:
Numerical approximation and simulation of the stochastic wave equation on the sphere. - Yuanpeng Li:
Concepts, Properties and an Approach for Compositional Generalization. - Yue Zhu, Yunjie Gu, Yitong Li, Timothy C. Green:
Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability. - Victor von Wachter, Johannes Rude Jensen, Omri Ross:
Measuring Asset Composability as a Proxy for Ecosystem Integration. - Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. - Vadim Liventsev, Aki Härmä, Milan Petkovic:
Neurogenetic Programming Framework for Explainable Reinforcement Learning. - Elija Perrier:
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research. - Fernando Almeida, José A. Monteiro:
The Challenges of Assessing and Evaluating the Students at Distance. - Yuta Sakurai, Yutaka Hori:
Interval Analysis of Worst-case Stationary Moments for Stochastic Chemical Reactions with Uncertain Parameters. - Mohammad R. Rezaei:
Amazon Product Recommender System. - Barbara Schütt, Thilo Braun, Stefan Otten, Eric Sax:
SceML - A Graphical Modeling Framework for Scenario-based Testing of Autonomous Vehicles. - Lhouari Nourine, Simon Vilmin:
Enumerating maximal consistent closed sets in closure systems. - Erico Tjoa, Cuntai Guan:
Convolutional Neural Network Interpretability with General Pattern Theory. - Duc Kinh Le Tran:
Riiid! Answer Correctness Prediction Kaggle Challenge: 4th Place Solution Summary. - Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago, Salimur Choudhury:
Validating Optimal COVID-19 Vaccine Distribution Models. - Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. - Sebastian Gonzalez, Davide Salvi, Daniel Baeza, Fabio Antonacci, Augusto Sarti:
A Data-Driven Approach to Violin Making. - McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick:
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. - Jack Bandy:
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits. - Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. - Dan Halperin, Micha Sharir, Itay Yehuda:
Throwing a Sofa Through the Window. - David A. Noever, Samantha E. Miller Noever:
Overhead MNIST: A Benchmark Satellite Dataset. - Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides:
Enabling Binary Neural Network Training on the Edge. - Yuqi Cui, Dongrui Wu, Yifan Xu:
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions. - Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. - Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. - James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko:
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads. - Antonio Guerriero, Roberto Pietrantuono, Stefano Russo:
Operation is the hardest teacher: estimating DNN accuracy looking for mispredictions. - Nikita Korzhitskii, Niklas Carlsson:
Revocation Statuses on the Internet. - Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
A Real-time Defense against Website Fingerprinting Attacks. - Maurice Margenstern:
A strongly universal cellular automaton on the heptagrid with seven states. - Miguel Sozinho Ramalho:
High-level Approaches to Detect Malicious Political Activity on Twitter. - Pei-Chang Guo:
Regularization for convolutional kernel tensors to avoid unstable gradient problem in convolutional neural networks. - Xingyu Wang, Sewoong Oh, Chang-Han Rhee:
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise. - Dario A. Bini, Bruno Iannazzo, Jie Meng:
Geometric means of quasi-Toeplitz matrices. - Nipun Aggarwal, Sanjay Kumar:
Identifying Influential Nodes in Weighted Networks using k-shell based HookeRank Algorithm. - Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic:
Learning Optimal Strategies for Temporal Tasks in Stochastic Games. - Patrick Schmidt, Pavel Osinenko, Stefan Streif:
On inf-convolution-based robust practical stabilization under computational uncertainty. - Magnus Sahlgren, Fredrik Carlsson:
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point. - Markus Muhr, Vanja Nikolic, Barbara I. Wohlmuth:
A hybrid discontinuous Galerkin method for nonlinear elasto-acoustic coupling. - Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. - Shuquan Ye, Dongdong Chen, Songfang Han, Ziyu Wan, Jing Liao:
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud. - Yiping Cheng:
Derivation of the Backpropagation Algorithm Based on Derivative Amplification Coefficients. - Rahul Meshram, Kesav Kaza:
Monte Carlo Rollout Policy for Recommendation Systems with Dynamic User Behavior. - Pei Peng, Moslem Noori, Emina Soljanin:
Distributed Storage Allocations for Optimal Service Rates. - Tom Zahavy, André Barreto, Daniel J. Mankowitz, Shaobo Hou, Brendan O'Donoghue, Iurii Kemaev, Satinder Singh:
Discovering a set of policies for the worst case reward. - Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev:
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives. - Allan Borodin, Calum MacRury, Akash Rakheja:
Prophet Inequality Matching Meets Probing with Commitment. - Anurag Jain, Shoeb Siddiqui, Sujit Gujar:
We might walk together, but I run faster: Network Fairness and Scalability in Blockchains. - Ali Karimi, Ramin Toosi, Mohammad Ali Akhaee:
Soccer Event Detection Using Deep Learning. - Boris Düdder, Vladislav Fomin, Tan Gürpinar, Michael Henke, Philipp Asterios Ioannidis, Viktorija Janaviciene, Raimundas Matulevicius, Mubashar Iqbal, Natalia Straub:
BlockNet Report: Exploring the Blockchain Skills Concept and Best Practice Use Cases. - Radu Curticapean:
A full complexity dichotomy for immanant families. - Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly:
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching. - Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen, Guanding Yu:
Learning-based WiFi Traffic Load Estimation in NR-U Systems. - Paritosh Garg, Linus Jordan, Ola Svensson:
Semi-Streaming Algorithms for Submodular Matroid Intersection. - Karthik Muralidhar:
A Theoretical Answer to "Does the IRC-SINR of an Interference Rejection Combiner always Increase with an Increase in Number of Receive Antennas?". - Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan:
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning. - Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin:
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models. - Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller:
Unlocking Pixels for Reinforcement Learning via Implicit Attention. - Chunhua Geng, Hua Sun, Syed Ali Jafar:
Multilevel Topological Interference Management: A TIM-TIN Perspective. - Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen:
Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning. - Raphaël Bulle, Jack S. Hale, Alexei Lozinski, Stéphane P. A. Bordas, Franz Chouly:
Hierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS Project. - Daniel Stan, Anthony Widjaja Lin:
Regular Model Checking Approach to Knowledge Reasoning over Parameterized Systems (technical report). - Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. - Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta, Diogo Nunes Gonçalves, José Marcato Junior, Ana Paula Marques Ramos, Edson Takashi Matsubara, Zhipeng Luo, Jonathan Li, Jonathan de Andrade Silva, Wesley Nunes Gonçalves:
Counting and Locating High-Density Objects Using Convolutional Neural Network. - Dinh Dung, Van Kien Nguyen:
High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness. - Jared Tanner, Giuseppe Ughi:
Mutual Information of Neural Network Initialisations: Mean Field Approximations. - Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist:
Adversarially Guided Actor-Critic. - Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang:
TransReID: Transformer-based Object Re-Identification. - Georgios Chochlakis, Efthymios Georgiou, Alexandros Potamianos:
End-to-end Generative Zero-shot Learning via Few-shot Learning. - Haris Aziz, Florian Brandl:
Efficient, Fair, and Incentive-Compatible Healthcare Rationing. - Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Learning with Density Matrices and Random Features. - Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin:
Escaping Stochastic Traps with Aleatoric Mapping Agents. - Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis:
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals. - Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato:
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. - Ninad Gaikwad, Naren Srivaths Raman, Prabir Barooah:
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control. - Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. - Adam Van Etten, Daniel Hogan, Jesus Martinez-Manso, Jacob Shermeyer, Nicholas Weir, Ryan Lewis:
The Multi-Temporal Urban Development SpaceNet Dataset. - Ryan R. Strauss, Junier B. Oliva:
Arbitrary Conditional Distributions with Energy. - Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang:
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization. - Xiaodong Cui, Songtao Lu, Brian Kingsbury:
Federated Acoustic Modeling For Automatic Speech Recognition. - Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner:
Colorization Transformer. - Ling Zou:
Understand Slope Limiter - Graphically. - Mohammad Esmaeili, Aria Nosratinia:
Community Detection: Exact Recovery in Weighted Graphs. - Adrian Bulat, Enrique Sánchez-Lozano, Georgios Tzimiropoulos:
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining. - Justin Gould:
A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint. - John Kalung Leung, Igor Griva, William G. Kennedy:
Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems. - Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets:
Functional Space Analysis of Local GAN Convergence. - Li Xiao, Zeliang Zhang, Yijie Peng:
Noise Optimization for Artificial Neural Networks. - Saumik Dana, Xiaoxi Zhao, Birendra Jha:
Two-grid method on unstructured tetrahedra: Applying computational geometry to staggered solution of coupled flow and mechanics problems. - Yonghao Song, Lie Yang, Xueyu Jia, Longhan Xie:
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface. - Alim Al Ayub Ahmed, Ayman Aljabouh, Praveen Kumar Donepudi, Myung Suh Choi:
Detecting Fake News Using Machine Learning : A Systematic Literature Review. - Iuliana Marin, Nicolae Goga:
Securing the Network for a Smart Bracelet System. - Albert Ryou, James Whitehead, Maksym Zhelyeznyakov, Paul Anderson, Cem Keskin, Michal Bajcsy, Arka Majumdar:
Free-space optical neural network based on thermal atomic nonlinearity. - Marzieh Shahmandi, Paul Wilson, Mike Thelwall:
A Bayesian Two-part Hurdle Quantile Regression Model for Citation Analysis. - Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar:
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning. - Yiming Wang, Hang Lv, Daniel Povey, Lei Xie, Sanjeev Khudanpur:
Wake Word Detection with Streaming Transformers. - Radia Rayan Chowdhury, Mir Tafseer Nayeem, Tahsin Tasnim Mim, Md. Saifur Rahman Chowdhury, Taufiqul Jannat:
Unsupervised Abstractive Summarization of Bengali Text Documents. - Bingni Guo, Jiawang Nie, Zi Yang:
Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions. - Steve Dai, Rangharajan Venkatesan, Haoxing Ren, Brian Zimmer, William J. Dally, Brucek Khailany:
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference. - Boliang Zhang, Ying Lyu, Ning Ding, Tianhao Shen, Zhaoyang Jia, Kun Han, Kevin Knight:
A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining. - Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison:
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions. - Aryan Mahindra, Chandan CV, Priyanshi Katiyar, Anshuman Sharma, Sheshank Shankar, Rohan Sukumaran, Saurish Srivastava, Armaan Bhojwani, Rohan Iyer, Ishaan Singh, Ramesh Raskar:
comparing card-based vaccine credential systems with app-based vaccine credential systems. - Delaram Kahrobaei, Mima Stanojkovski:
Cryptographic multilinear maps using pro-p groups. - Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Gulshan Saleem:
Leaf Image-based Plant Disease Identification using Color and Texture Features. - Alex Lu, Aleksandr Lukatskiy, Zhiqi Zhong, John G. Allen:
Power Off! Challenges in Planning and Executing Power Isolations on Shared-Use Electrified Railways. - Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi:
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. - Mahdi Cheraghchi, Ryan Gabrys, Olgica Milenkovic:
Semiquantitative Group Testing in at Most Two Rounds. - Chrysoula Themeli, George Giannakopoulos, Nikiforos Pittaras:
A study of text representations in Hate Speech Detection. - Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman:
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. - Markus Kneer, Michael T. Stuart:
Playing the Blame Game with Robots. - Daniel Frisch, Uwe D. Hanebeck:
Deterministic Sampling on the Circle using Projected Cumulative Distributions. - Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. - Yuting Yang, Connelly Barnes, Adam Finkelstein:
Learning from Shader Program Traces. - Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz:
A modular framework for extreme weather generation. - Till Fluschnik, Leon Kellerhals:
Placing Green Bridges Optimally, with a Multivariate Analysis. - Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo:
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games. - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Tractable mechanisms for computing near-optimal utility functions. - Magnús M. Halldórsson, Alexandre Nolin:
Superfast Coloring in CONGEST via Efficient Color Sampling. - Mathew Alex:
Quantum Technologies: A Review of the Patent Landscape. - Debjit Pal, Shobha Vasudevan:
Feature Engineering for Scalable Application-Level Post-Silicon Debugging. - Muhammad Anshari:
E-Health Management Services in Supporting Empowerment. - Henrietta Lyons, Eduardo Velloso, Tim Miller:
Designing for Contestation: Insights from Administrative Law. - Jakob Schöffer, Niklas Kühl, Isabel Valera:
A Ranking Approach to Fair Classification. - Patrik Olã Bressan, José Marcato Junior, José Augusto Correa Martins, Diogo Nunes Gonçalves, Daniel Matte Freitas, Lucas Prado Osco, Jonathan de Andrade Silva, Zhipeng Luo, Jonathan Li, Raymundo Cordero Garcia, Wesley Nunes Gonçalves:
Semantic Segmentation with Labeling Uncertainty and Class Imbalance. - Maurício Gruppi, Benjamin D. Horne, Sibel Adali:
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles. - Chris J. Kennedy, Julia Vassey, Ho-Chun Herbert Chang, Jennifer B. Unger, Emilio Ferrara:
Tracking e-cigarette warning label compliance on Instagram with deep learning. - Victor Vidigal Ribeiro, Daniela Soares Cruzes, Guilherme Horta Travassos:
Moderator Factors of Software Security and Performance Verification. - Gabriel Francisco Lorençon Ribeiro Bernardes, Rogério Ishibashi, André Aparecido de Souza Ivo, Valério Rosset, Bruno Yuji Lino Kimura:
Prototyping Low-Cost Automatic Weather Stations for Natural Disaster Monitoring. - Bernhard von Stengel:
Finding Nash Equilibria of Two-Player Games. - Mayuresh Savargaonkar, Abdallah A. Chehade, Samir A. Rawashdeh:
RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection. - Debasish Ray Mohapatra, Victor Zappi, Sidney S. Fels:
A comparative study of two-dimensional vocal tract acoustic modeling based on Finite-Difference Time-Domain methods. - Mona Zehni, Zhizhen Zhao:
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction. - Gabriele Di Cerbo, Ali Hirsa, Ahmad Shayaan:
Regularized Generative Adversarial Network. - Kunal Pattanayak, Vikram Krishnamurthy:
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification. - Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai:
SwiftNet: Real-time Video Object Segmentation. - Pengfei Wei, Bi Zeng, Wenxiong Liao:
Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks. - Zhengmian Hu, Feihu Huang, Heng Huang:
A New Framework for Variance-Reduced Hamiltonian Monte Carlo. - João G. Zago, Fabio L. Baldissera, Eric A. Antonelo, Rodrigo T. Saad:
Benford's law: what does it say on adversarial images? - Yakub Sebastian, Chaomei Chen:
The Boundary-Spanning Mechanisms of Nobel Prize Winning Papers. - Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang, Tao Mei:
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition. - Yu Wang, Fengjuan Gao, Linzhang Wang:
Demystifying Code Summarization Models. - Bhavtosh Rath, Xavier Morales, Jaideep Srivastava:
SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction. - Shanshan Huang, Kenny Q. Zhu:
Statistically Profiling Biases in Natural Language Reasoning Datasets and Models. - Daniel Selsam, Jesse Michael Han:
k-Equivalence Relations and Associated Algorithms. - Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang:
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. - Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig S. Rose, Braden Moore, Kelsey Magrane:
Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing. - Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Shuqiang Jiang:
Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough. - Muhammad Hanif, Ha H. Nguyen:
Frequency-Shift Chirp Spread Spectrum Communications with Index Modulation. - David Thulke, Nico Daheim, Christian Dugast, Hermann Ney:
Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog. - Hong-Lin Liao, Tao Tang, Tao Zhou:
A new discrete energy technique for multi-step backward difference formulas. - Shu-Lin Wu, Tao Zhou, Zhi Zhou:
Stability implies robust convergence of a class of diagonalization-based iterative algorithms. - Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin:
Large Scale Long-tailed Product Recognition System at Alibaba. - Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen:
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. - Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Visual Search with Binary Distributed Graph at Alibaba. - Drew Stone:
Trustless, privacy-preserving blockchain bridges. - Ayodeji Oseni, Nour Moustafa, Helge Janicke, Peng Liu, Zahir Tari, Athanasios V. Vasilakos:
Security and Privacy for Artificial Intelligence: Opportunities and Challenges. - Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin:
Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. - Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. - Christian Williams, Michael Stay:
Native Type Theory. 116-132 - Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin:
Visual Search at Alibaba. - Dasaem Jeong, Seungheon Doh, Taegyun Kwon:
TräumerAI: Dreaming Music with StyleGAN. - Dennis Bautembach, Iason Oikonomidis, Antonis A. Argyros:
Multi-GPU SNN Simulation with Perfect Static Load Balancing. - Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding:
OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users. - Songlin He, Yuan Lu, Qiang Tang, Guiling Wang, Chase Qishi Wu:
Peer-to-Peer Content Delivery via Blockchain. - Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Prem Prakash Jayaraman, Kewen Liao, Rohit Kaul, Graham Morgan, Rajiv Ranjan, Samir Sinha:
CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning. - Pouya M. Ghari, Yanning Shen:
Graph-Aided Online Multi-Kernel Learning. - Haike Xu, Tengyu Ma, Simon S. Du:
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap. - Rajiv Kumar, Rishabh Dabral, G. Sivakumar:
Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator. - Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. - Linda Gesenhues, Marek Behr:
Simulating dense granular flow using the μ(I)-rheology within a space-time framework. - Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel:
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. - David Stein, Bjoern Andres:
Inapproximability of Minimizing a Pair of DNFs or Binary Decision Trees Defining a Partial Boolean Function. - Andrew Lowy, Meisam Razaviyayn:
Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training. - Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. - Nikolas Mählmann, Sebastian Siebertz, Alexandre Vigny:
Recursive Backdoors for SAT. - Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational Query Rewriting with Self-supervised Learning. - Cezar Sas, Andrea Capiluppi:
Using Structural and Semantic Information to Identify Software Components. - Andrea Aler Tubella, Andreas Theodorou, Juan Carlos Nieves:
Interrogating the Black Box: Transparency through Information-Seeking Dialogues. - Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Provable Defense Against Delusive Poisoning. - Ibrahima N'Doye, Ding Zhang, Mohamed-Slim Alouini, Taous-Meriem Laleg-Kirati:
Establishing and Maintaining a Reliable Optical Wireless Communication in Underwater Environment. - Yanhao Zhang, Qiang Wang, Pan Pan, Yun Zheng, Cheng Da, Siyang Sun, Yinghui Xu:
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce. - Teng-Hui Huang, Aly El Gamal:
A Provably Convergent Information Bottleneck Solution via ADMM. - Kuan Hsieh, Cynthia Rush, Ramji Venkataramanan:
Near-Optimal Coding for Massive Multiple Access. - Marco Carbone, Sonia Marin, Carsten Schürmann:
Synchronous Forwarders. - Albin Cassirer, Gabriel Barth-Maron, Eugene Brevdo, Sabela Ramos, Toby Boyd, Thibault Sottiaux, Manuel Kroiss:
Reverb: A Framework For Experience Replay. - Muah Kim, Onur Günlü, Rafael F. Schaefer:
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication. - Der-Hau Lee, Jinn-Liang Liu:
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving. - Fan Zhou, Arini Fitri, Khoirul Anwar, Brian M. Kurkoski:
Encoding and Decoding Construction D' Lattices for Power-Constrained Communications. - Alexandre Almeida, Pedro Vicente, Alexandre Bernardino:
Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots. - Boyang Xue, Jianwei Yu, Junhao Xu, Shansong Liu, Shoukang Hu, Zi Ye, Mengzhe Geng, Xunying Liu, Helen Meng:
Bayesian Transformer Language Models for Speech Recognition. - Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. - Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi:
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data. - Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang:
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network. - Djordje Slijepcevic, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer:
k-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers. - Çagatay Yildiz, Markus Heinonen, Harri Lähdesmäki:
Continuous-Time Model-Based Reinforcement Learning. - Xianghui Zhong:
Lower Bounds on the Integraliy Ratio of the Subtour LP for the Traveling Salesman Problem. - Hiroki Ishizaka, Kenta Kobayashi, Ryo Suzuki, Takuya Tsuchiya:
A new geometric condition equivalent to the maximum angle condition for tetrahedrons. - Bingkai Lin:
Constant Approximating k-Clique is W[1]-hard. - Konstantin Kutzkov:
COLOGNE: Coordinated Local Graph Neighborhood Sampling. - Florimond Guéniat, Sahdia Maryam:
Forecasting the Evolution of Hydrogen Vehicle Fleet in the UK usingGrowth and Lotka-Volterra Models. - Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. - Emilien Dupont, Yee Whye Teh, Arnaud Doucet:
Generative Models as Distributions of Functions. - Sutharsan Mahendren, Chamira U. S. Edussooriya, Ranga Rodrigo:
Diverse Single Image Generation with Controllable Global Structure through Self-Attention. - Tarlis Tortelli Portela, Jônata Tyska Carvalho, Vania Bogorny:
Fast discovery of multidimensional subsequences for robust trajectory classification. - Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu:
Distribution Adaptive INT8 Quantization for Training CNNs. - Najko Jahn, Lisa Matthias, Mikael Laakso:
Transparency to hybrid open access through publisher-provided metadata: An article-level study of Elsevier. - Alexander N. Pchelintsev:
A Numerical-Analytical Method for Constructing Periodic Solutions of the Lorenz System. - Javier Yuste, Sergio Pastrana:
Avaddon ransomware: an in-depth analysis and decryption of infected systems. - Vijith Kumar K. P, Brijesh Kumar Rai, Tony Jacob:
The Exact Rate Memory Tradeoff for Small Caches with Coded Placement. - Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ensembling object detectors for image and video data analysis. - Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo:
DetCo: Unsupervised Contrastive Learning for Object Detection. - Grégoire Menguy, Sébastien Bardin, Richard Bonichon, Cauim de Souza Lima:
AI-based Blackbox Code Deobfuscation: Understand, Improve and Mitigate. - Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier. - Muhammad Zakwan:
Stability Analysis and State-Feedback Stabilization of LPV Time-Delay Systems with Piecewise Constant Parameters subject to Spontaneous Poissonian Jumps. - Rogério Duarte, Ângela Lacerda Nobre, Fernando Pimentel, Marc Jacquinet:
Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences. - Daniyar B. Nurseitov, Kairat Bostanbekov, Maksat Kanatov, Anel Alimova, Abdelrahman Abdallah, Galymzhan Abdimanap:
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models. - Hussein K. Almulla, Gregory Gay:
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection. - Ayush Deva, Kumar Abhishek, Sujit Gujar:
A Multi-Arm Bandit Approach To Subset Selection Under Constraints. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray:
On exact division and divisibility testing for sparse polynomials. - Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich:
Consensus Control for Decentralized Deep Learning. - Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu:
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis. - Blerta Lindqvist:
Target Training Does Adversarial Training Without Adversarial Samples. - Ying Li, Weipan Xu, Haohui Chen, Junhao Jiang, Xun Li:
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings. - Amal Awadalla Ali, Asma Hamid ElFadl, Maha Fawzy Abujazar, Sarah Aziz, Alaa A. Abd-alrazaq, Zubair Shah, Samir Brahim Belhaouari, Mowafa S. Househ, Tanvir Alam:
Contact Tracing Apps for COVID-19: Access Permission and User Adoption. - Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao:
CNN Application in Detection of Privileged Documents in Legal Document Review. - Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin:
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. - Pritam Anand:
Learning a powerful SVM using piece-wise linear loss functions. - Yimin Peng, Yunlong Li, Zijing Fang:
An underwater binocular stereo matching algorithm based on the best search domain. - Marin Jovanovic, David Sjödin, Vinit Parida:
Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms. - Jennifer A. Hobbs, Ivan Dozier, Naira Hovakimyan:
Residue Density Segmentation for Monitoring and Optimizing Tillage Practices. - Zelalem Arega Worku, David W. Zingg:
Stability and Functional Superconvergence of Narrow-Stencil Second-Derivative Generalized Summation-By-Parts Discretizations. - Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro:
The Factory Must Grow: Automation in Factorio. - Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Sachin Rathor, Archit Somani:
OptSmart: A Space Efficient Optimistic Concurrent Execution of Smart Contracts. - Masoud Maleki:
Diagnosis of COVID-19 and Non-COVID-19 Patients by Classifying Only a Single Cough Sound. - Florian E. Dorner:
Measuring Progress in Deep Reinforcement Learning Sample Efficiency. - Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. - Claytone Sikasote, Antonios Anastasopoulos:
BembaSpeech: A Speech Recognition Corpus for the Bemba Language. - M. Torabi Rad, Alexandre Viardin, Markus Apel:
On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations. - B. R. Manoj, Guoda Tian, Sara Gunnarsson, Fredrik Tufvesson, Erik G. Larsson:
Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data. - John D. Gallacher:
Leveraging cross-platform data to improve automated hate speech detection. - Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. - Chi Zhang, Yujie Zhu, Yongchuan Yu, Massoud Rezavand, Xiangyu Hu:
A simple artificial damping method for total Lagrangian smoothed particle hydrodynamics. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. - Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang:
Dynamic Neural Networks: A Survey. - Chao Gao:
On Computation Complexity of True Proof Number Search. - Moshe Babaioff, Tomer Ezra, Uriel Feige:
Best-of-Both-Worlds Fair-Share Allocations. - Konstantinos Konstantoudakis, David Breitgand, Alexandros Doumanoglou, Nikolaos Zioulis, Avi Weit, Kyriaki Christaki, Petros Drakoulis, Emmanouil Christakis, Dimitrios Zarpalas, Petros Daras:
Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization. - Muhammad Khan, Yasir Zaki, Shiva R. Iyer, Talal Ahmad, Thomas Pötsch, Jay Chen, Anirudh Sivaraman, Lakshmi Subramanian:
The case for model-driven interpretability of delay-based congestion control protocols. - Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff:
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks. - Maozhen Wang, Rui Luo, Aykut Özgün Önol, Taskin Padir:
Affordance-Based Mobile Robot Navigation Among Movable Obstacles. - David Auger, Xavier Badin de Montjoye, Yann Strozecki:
A Generic Strategy Iteration Method for Simple Stochastic Games. - Roee Cates, Daphna Weinshall:
More Is More - Narrowing the Generalization Gap by Adding Classification Heads. - Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. - Ibrahima N'Doye, Wenqi Cai, Asem Al-Alwan, Xiaobin Sun, Wael Ghazy Headary, Mohamed-Slim Alouini, Boon S. Ooi, Taous-Meriem Laleg-Kirati:
Reduction of the Beam Pointing Error for Improved Free-Space Optical Communication Link Performance. - Surja Sanyal, Vikash Kumar Singh, Fatos Xhafa, Banhi Sanyal, Sajal Mukhopadhyay:
A Game Theoretic Framework for Surplus Food Distribution in Smart Cities and Beyond. - Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow:
Sparsification via Compressed Sensing for Automatic Speech Recognition. - Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. - Aria Nouri, Reza Asvadi, Jun Chen, Pascal O. Vontobel:
Constrained Secrecy Capacity of Partial-Response Wiretap Channels. - Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher J. Pal:
Robust Motion In-betweening. - Maxim Buzdalov, Carola Doerr:
Optimal Static Mutation Strength Distributions for the (1+λ) Evolutionary Algorithm on OneMax. - Xiaoyu Liu, Jordi Pons:
On permutation invariant training for speech source separation. - Antonio Candelieri, Francesco Archetti:
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs. - Robyn Kozierok, John S. Aberdeen, Cheryl Clark, Christopher D. Garay, Bradley Goodman, Tonia Korves, Lynette Hirschman, Patricia L. McDermott, Matthew W. Peterson:
Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program. - Huan Yin, Xuecheng Xu, Yue Wang, Rong Xiong:
Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning. - Michal Balazia, S. L. Happy, François Brémond, Antitza Dantcheva:
How Unique Is a Face: An Investigative Study. - Christian Fredrik Sætre, Anton S. Shiriaev:
Orbital Stabilization of Point-to-Point Maneuvers in Underactuated Mechanical Systems. - Xiao-wei Chen:
Semantic Borrowing for Generalized Zero-Shot Learning. - Shane T. Mueller, Elizabeth S. Veinott, Robert R. Hoffman, Gary Klein, Lamia Alam, Tauseef Mamun, William J. Clancey:
Principles of Explanation in Human-AI Systems. - Michele Garetto, Emilio Leonardi, Giovanni Neglia:
Content Placement in Networks of Similarity Caches. - Logan T. Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman:
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19. - Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut:
Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval. - Ewan Davies, Will Perkins:
Approximately counting independent sets of a given size in bounded-degree graphs. - Deepak Maurya, Balaraman Ravindran:
Hyperedge Prediction using Tensor Eigenvalue Decomposition. - Subarna Tripathi, Kien Nguyen, Tanaya Guha, Bang Du, Truong Q. Nguyen:
SG2Caps: Revisiting Scene Graphs for Image Captioning. - Eduardo Abreu, João Batista Florindo:
A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems. - Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements. - Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Pairwise Weights for Temporal Credit Assignment. - João Batista Florindo, Eduardo Abreu:
An application of a pseudo-parabolic modeling to texture image recognition. - Qun Wang, Han Hu, Haijian Sun, Rose Qingyang Hu:
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network. - Matan Eyal, Asaf Amrami, Hillel Taub-Tabib, Yoav Goldberg:
Bootstrapping Relation Extractors using Syntactic Search by Examples. - Lewis Hammond, James Fox, Tom Everitt, Alessandro Abate, Michael J. Wooldridge:
Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice. - Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake:
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. - Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji:
Spherical Message Passing for 3D Graph Networks. - Sepehr Rezvani, Eduard A. Jorswieck, Nader Mokari, Mohammad R. Javan:
Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems. - Jianyi Yang, Shaolei Ren:
Robust Bandit Learning with Imperfect Context. - Noah Fleming, Mika Göös, Russell Impagliazzo, Toniann Pitassi, Robert Robere, Li-Yang Tan, Avi Wigderson:
On the Power and Limitations of Branch and Cut. - Haimonti Dutta, Nitin Nataraj, Saurabh Amarnath Mahindre:
Consensus Based Multi-Layer Perceptrons for Edge Computing. - Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. - Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie:
Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. - Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi:
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks. - Wenjie Chu, Wei Zhang, Haiyan Zhao, Zhi Jin, Hong Mei:
Massive Self-Assembly in Grid Environments. - SeungKee Jeon:
Last Query Transformer RNN for knowledge tracing. - Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. - Silvia Cascianelli, Gabriele Costante, Alessandro Devo, Thomas A. Ciarfuglia, Paolo Valigi, Mario Luca Fravolini:
The Role of the Input in Natural Language Video Description. - William Kuszmaul, Qi Qi:
The Multiplicative Version of Azuma's Inequality, with an Application to Contention Analysis. - Angelo Matni, Enrico Armenio Deiana, Yian Su, Lukas Gross, Souradip Ghosh, Sotiris Apostolakis, Ziyang Xu, Zujun Tan, Ishita Chaturvedi, David I. August, Simone Campanoni:
NOELLE Offers Empowering LLVM Extensions. - A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Günes Baydin:
Domain Invariant Representation Learning with Domain Density Transformations. - Atoosa Kasirzadeh, Andrew Smart:
The Use and Misuse of Counterfactuals in Ethical Machine Learning. - Mostafa Bagheri, Mohammad Mohammadi-Aghdam, Meitham Amereh:
Coupled Torsional and Transverse Vibration Analysis of Panels Partially Supported by Elastic Beam. - Rodrigo Henrique Barbosa Monteiro, Maurício Ronny de Almeida Souza, Sandro Ronaldo Bezerra Oliveira, Carlos dos Santos Portela, Cesar Elias de Cristo Lobato:
The Diversity of Gamification Evaluation in the Software Engineering Education and Industry: Trends, Comparisons and Gaps. - Marcin Budka, Akanda Wahid-Ul-Ashraf, Scott Neville, Alun Mackrill, Matthew Bennett:
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification. - Gedas Bertasius, Heng Wang, Lorenzo Torresani:
Is Space-Time Attention All You Need for Video Understanding? - Jay Nandy, Sudipan Saha, Wynne Hsu, Mong-Li Lee, Xiao Xiang Zhu:
Adversarially Robust Classifier with Covariate Shift Adaptation. - Sahar Abdelnabi, Mario Fritz:
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. - Angel Villar-Corrales, Franziska Schirrmacher, Christian Riess:
Deep learning architectural designs for super-resolution of noisy images. - Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon:
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers. - Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon:
Negative Data Augmentation. - Alessio Muscillo:
A note on (matricial and fast) ways to compute Burt's structural holes. - Kamak Ebadi, Matteo Palieri, Sally L. Wood, Curtis Padgett, Ali-akbar Agha-mohammadi:
DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded Environments. - Ying Zhao Lian, Renzi Wang, Colin N. Jones:
Koopman based data-driven predictive control. - Guangyu Shen, Yingqi Liu, Guanhong Tao, Shengwei An, Qiuling Xu, Siyuan Cheng, Shiqing Ma, Xiangyu Zhang:
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization. - Jonas Kulhanek, Vojtech Hudecek, Tomás Nekvinda, Ondrej Dusek:
AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation. - Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. - Javier Quetzalcóatl Toledo-Marín, James A. Glazier:
Using Deep LSD to build operators in GANs latent space with meaning in real space. - Ustim Khristenko, Barbara I. Wohlmuth:
Solving time-fractional differential equation via rational approximation. - Dara Bahri, Heinrich Jiang:
Locally Adaptive Label Smoothing for Predictive Churn. - Waleed A. Yousef, Issa Traoré, William Briguglio:
Classifier Calibration: with implications to threat scores in cybersecurity. - Mehdi Hosseinzadeh, Bruno Sinopoli, Aaron F. Bobick:
Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling. - Kolawole Ogunsina, Marios Papamichalis, Daniel DeLaurentis:
Uncertainty Quantification and Propagation for Airline Disruption Management. - Piotr Gawlowicz, Jean C. Walrand, Adam Wolisz:
Distributed Learning for Proportional-Fair Resource Allocation in Coexisting WiFi Networks. - Yizhou Wang, Zhongyu Jiang, Yudong Li, Jenq-Neng Hwang, Guanbin Xing, Hui Liu:
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization. - Turab Iqbal, Karim Helwani, Arvindh Krishnaswamy, Wenwu Wang:
Enhancing Audio Augmentation Methods with Consistency Learning. - Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji:
On Explainability of Graph Neural Networks via Subgraph Explorations. - Georgia Pierrou, Xiaozhe Wang:
An Online Network Model-Free Wide-Area Voltage Control Method Using PMUs. - Yann Hamdaoui, Benoît Valiron:
An Interactive Proof of Termination for a Concurrent λ-calculus with References and Explicit Substitutions. - X. Flora Meng, Tuhin Sarkar, Munther A. Dahleh:
Nonstochastic Bandits with Infinitely Many Experts. - Edwin Goh, Hamsa Shwetha Venkataram, Mark Hoffmann, Mark D. Johnston, Brian Wilson:
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning. - Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Deterministic Tree Embeddings with Copies for Algorithms Against Adaptive Adversaries. - Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. - Rafael G. L. D'Oliveira, Muriel Médard, Parastoo Sadeghi:
Differential Privacy for Binary Functions via Randomized Graph Colorings. - Tomás Chobola, Daniel Vasata, Pavel Kordík:
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. - Bita Safaee, Serkan Gugercin:
Structure-preserving Model Reduction of Parametric Power Networks. - Andrew Slavin Ross, Finale Doshi-Velez:
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement. - Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor:
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR. - Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang:
CaPC Learning: Confidential and Private Collaborative Learning. - Wenhao Li, Niranjan Bidargaddi, John Fouyaxis:
DHLink: A Microservice Platform supporting Rapid Application Development and Secure Real-time Data Sharing in Digital Health. - Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung:
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning. - Hyun Bin Lee, Tushar M. Jois, Christopher W. Fletcher, Carl A. Gunter:
DOVE: A Data-Oblivious Virtual Environment. - Rob Jansen, Justin Tracey, Ian Goldberg:
Once is Never Enough: Foundations for Sound Statistical Inference in Tor Network Experimentation. - Jonathan Cohen, Michael Kane, Alexia Marriott, Franklin Ollivierre III, Krissy Govertsen:
Economic controls co-design of hybrid microgrids with tidal/PV generation and lithium ion/flow battery storage. - Eman Abdullah AlOmar, Hussein Alrubaye, Mohamed Wiem Mkaouer, Ali Ouni, Marouane Kessentini:
Refactoring Practices in the Context of Modern Code Review: An Industrial Case Study at Xerox. - Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu:
NumaPerf: Predictive and Full NUMA Profiling. - Zhangjie Cao, Minae Kwon, Dorsa Sadigh:
Transfer Reinforcement Learning across Homotopy Classes. - Kuilin Chen, Chi-Guhn Lee:
Attentive Gaussian processes for probabilistic time-series generation. - Linglong Dai, Jingbo Tan, H. Vincent Poor:
Delay-Phase Precoding for Wideband THz Massive MIMO. - Moein Shakeri, Shing Yan Loo, Hong Zhang:
Polarimetric Monocular Dense Mapping Using Relative Deep Depth Prior. - Andrew Wagenmaker, Max Simchowitz, Kevin G. Jamieson:
Task-Optimal Exploration in Linear Dynamical Systems. - Difeng Cai, James G. Nagy, Yuanzhe Xi:
Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions. - Sara Bunian, Kai Li, Chaima Jemmali, Casper Harteveld, Yun Fu, Magy Seif El-Nasr:
VINS: Visual Search for Mobile User Interface Design. - Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin:
FLOP: Federated Learning on Medical Datasets using Partial Networks. - Matthieu Herrmann, Geoffrey I. Webb:
Early Abandoning and Pruning for Elastic Distances. - Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, Chulhee Jang, Yongyun Choi, Junil Choi:
Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems. - Jing Han, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo:
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data. - Hyungsik Jung, Youngrock Oh:
LIFT-CAM: Towards Better Explanations for Class Activation Mapping. - Dongdong Hao, Song Ding, Linwei Qiu, Yisong Lv, Baowei Fei, Yueqi Zhu, Binjie Qin:
Sequential vessel segmentation via deep channel attention network. - Hideaki Hata, Nicole Novielli, Sebastian Baltes, Raula Gaikovina Kula, Christoph Treude:
GitHub Discussions: An Exploratory Study of Early Adoption. - Yufan Li, Jinggang Zhuo, Ling Fan, Harry Jiannan Wang:
Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case. - Pankajeshwara Nand Sharma, Bastin Tony Roy Savarimuthu, Nigel Stanger:
Extracting Rationale for Open Source Software Development Decisions - A Study of Python Email Archives. - Jingbo Yang, Ruge Zhao, Meixian Zhu, David Hallac, Jaka Sodnik, Jure Leskovec:
Driver2vec: Driver Identification from Automotive Data. - William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann:
Advanced Ore Mine Optimisation under Uncertainty Using Evolution. - Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang:
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets. - Fengting Li, Xuankai Liu, Xiaoli Zhang, Qi Li, Kun Sun, Kang Li:
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis. - Moritz Hardt, Benjamin Recht:
Patterns, predictions, and actions: A story about machine learning. - Yi Luo, Aiguo Chen, Bei Hui, Ke Yan:
Memory-Associated Differential Learning. - Arash Golibagh Mahyari:
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms. - Verónica Anaya, Ruben Caraballo, Bryan Gomez-Vargas, David Mora, Ricardo Ruiz-Baier:
Velocity-vorticity-pressure formulation for the Oseen problem with variable viscosity. - Tadashi Wadayama, Satoshi Takabe:
Proximal Decoding for LDPC-coded Massive MIMO Channels. - Ching Pui Wan, Qifeng Chen:
Robust Federated Learning with Attack-Adaptive Aggregation. - Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Locally Free Weight Sharing for Network Width Search. - S. M. Zobaed, Md. Enamul Haque, Md Fazle Rabby, Mohsen Amini Salehi:
SensPick: Sense Picking for Word Sense Disambiguation. - Shi Dong, Benjamin Van Roy, Zhengyuan Zhou:
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State. - Guillaume Charpiat, Nicolas Girard, Loris Felardos, Yuliya Tarabalka:
Input Similarity from the Neural Network Perspective. - Robert C. Gray, Jichen Zhu, Santiago Ontañón:
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. - Robert C. Gray, Jichen Zhu, Danielle Arigo, Evan M. Forman, Santiago Ontañón:
Player Modeling via Multi-Armed Bandits. - Sean Kross, Eszter Hargittai, Elissa M. Redmiles:
Characterizing the Online Learning Landscape: What and How People Learn Online. - Arian Ahmadi, Omid Semiari:
Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communications. - Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran:
Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks. - Jinhuan Wang, Pengtao Chen, Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, Qi Xuan:
Sampling Subgraph Network with Application to Graph Classification. - Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami:
Stability of SGD: Tightness Analysis and Improved Bounds. - Tairu Qiu, Guanxian Chen, Zhongang Qi, Bin Li, Ying Shan, Xiangyang Xue:
A Generic Object Re-identification System for Short Videos. - Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Comprehensive Review. - Liyu Chen, Haipeng Luo:
Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case. - Noriyuki Tonami, Keisuke Imoto, Yuki Okamoto, Takahiro Fukumori, Yoichi Yamashita:
Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events. - Matthew Wicker, Luca Laurenti, Andrea Patane, Zhoutong Chen, Zheng Zhang, Marta Kwiatkowska:
Bayesian Inference with Certifiable Adversarial Robustness. - Ryo Kawaoka, Daiki Chiba, Takuya Watanabe, Mitsuaki Akiyama, Tatsuya Mori:
A First Look at COVID-19 Domain Names: Origin and Implications. - Zhaowei Zhu, Yiwen Song, Yang Liu:
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. - Xin Liu, Bin Li, Pengyi Shi, Lei Ying:
An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits. - Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic:
Using hardware performance counters to speed up autotuning convergence on GPUs. - Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang:
Inductive Granger Causal Modeling for Multivariate Time Series. - Jiri Filipovic, Jana Hozzová, Amin Nezarat, Jaroslav Olha, Filip Petrovic:
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures. - Daniel Anderson, Guy E. Blelloch:
Parallel Minimum Cuts in O(m log2(n)) Work and Low Depth. - Yue Xie, Aneta Neumann, Frank Neumann:
Heuristic Strategies for Solving Complex Interacting Stockpile Blending Problem with Chance Constraints. - Andrew Feutrill, Matthew Roughan:
Differential Entropy Rate Characterisations of Long Range Dependent Processes. - Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu:
Explaining Inference Queries with Bayesian Optimization. - Florian Auer, Rasmus Ros, Lukas Kaltenbrunner, Per Runeson, Michael Felderer:
Controlled Experimentation in Continuous Experimentation: Knowledge and Challenges. - Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. - Chicheng Zhang, Yinan Li:
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise. - Yohann de Castro, Luca Mencarelli:
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF). - Siyuan Niu, Aida Todri-Sanial:
Enabling multi-programming mechanism for quantum computing in the NISQ era. - Xavier Caruso, Tristan Vaccon, Thibaut Verron:
On FGLM Algorithms with Tate Algebras. - Martin Schmitt, Hinrich Schütze:
Language Models for Lexical Inference in Context. - Anastasios K. Papazafeiropoulos, Cunhua Pan, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior:
Intelligent Reflecting Surface-assisted MU-MISO Systems with Imperfect Hardware: Channel Estimation, Beamforming Design. - Yael Mathov, Lior Rokach, Yuval Elovici:
Enhancing Real-World Adversarial Patches with 3D Modeling Techniques. - Yang Liu:
The importance of understanding instance-level noisy labels. - Minyoung Kim:
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture. - Tiago Espinha Gasiba, Ulrike Lechner, Maria Pinto-Albuquerque, Daniel Méndez:
Is Secure Coding Education in the Industry Needed? An Investigation Through a Large Scale Survey. - Tiago Espinha Gasiba, Ulrike Lechner, Maria Pinto-Albuquerque:
CyberSecurity Challenges for Software Developer Awareness Training in Industrial Environments. - Michael Kölle, Dominik Laupheimer, Stefan Schmohl, Norbert Haala, Franz Rottensteiner, Jan Dirk Wegner, Hugo Ledoux:
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo. - Nima Anari, Thuy-Duong Vuong:
Simple and Near-Optimal MAP Inference for Nonsymmetric DPPs. - Benjia Zhou, Yunan Li, Jun Wan:
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition. - Michael Felderer, Rudolf Ramler:
Quality Assurance for AI-based Systems: Overview and Challenges. - Giovanni Abramo, Ciriaco Andrea D'Angelo:
The different responses of universities to introduction of performance-based research funding. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Leonardo Grilli:
The effects of citation-based research evaluation schemes on self-citation behavior. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Ida Mele:
Gendered impact of COVID-19 pandemic on research production: a cross-country analysis. - Stefan Krumpen, Reinhard Klein, Michael Weinmann:
Towards Tangible Cultural Heritage Experiences - Enriching VR-Based Object Inspection with Haptic Feedback. - Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang:
Towards Certifying 𝓁∞ Robustness using Neural Networks with 𝓁∞-dist Neurons. - Pierre Marchand, Jeffrey Galkowski, Alastair Spence, Euan A. Spence:
Applying GMRES to the Helmholtz equation with strong trapping: how does the number of iterations depend on the frequency? - Thibault Maho, Benoît Bonnet, Teddy Furon, Erwan Le Merrer:
RoBIC: A benchmark suite for assessing classifiers robustness. - Anja Jankovic, Tome Eftimov, Carola Doerr:
Towards Feature-Based Performance Regression Using Trajectory Data. - Núria Armengol Urpi, Sebastian Curi, Andreas Krause:
Risk-Averse Offline Reinforcement Learning. - Jin Sima, Jehoshua Bruck:
Trace Reconstruction with Bounded Edit Distance. - Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
GuiltyWalker: Distance to illicit nodes in the Bitcoin network. - Tanya Howden, Pierre Le Bras, Thomas S. Methven, Stefano Padilla, Mike J. Chantler:
Enhancing Reading Strategies by Exploring A Theme-based Approach to Literature Surveys. - Ziyin Liu, Kangqiao Liu, Takashi Mori, Masahito Ueda:
On Minibatch Noise: Discrete-Time SGD, Overparametrization, and Bayes. - Qianying Chen, Fan Feng, Pengyu Lv, Huiling Duan:
Origami spring-inspired shape morphing for flexible robotics. - Hai Zhu, Francisco Martinez Claramunt, Bruno Brito, Javier Alonso-Mora:
Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments. - Shreya Tayade, Peter M. Rost, Andreas Mäder:
Error Convergence Analysis and Stability of a Cloud Control AGV. - Afsaneh Gharouni, Peter Rost, Andreas Mäder, Hans D. Schotten:
Impact of Bit Allocation Strategies on Machine Learning Performance in Rate Limited Systems. - Prateek Garg, Murari Mandal, Pratik Narang:
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement. - Carsten Wiecher, Joel Greenyer, Carsten Wolff, Harald Anacker, Roman Dumitrescu:
Iterative and Scenario-based Requirements Specification in a System of Systems Context. - Fatemeh Sharifizadeh, Mohammad Ganjtabesh, Abbas Nowzari-Dalini:
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks. - Ren Liu, Ziang Ren:
Application of Yolo on Mask Detection Task. - Chen-Yu Wei, Haipeng Luo:
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach. - David Sabate Barbera, Mark A. Huckvale, Victoria Fleming, Emily Upton, Henry Coley-Fisher, Catherine Doogan, Ian Shaw, William H. Latham, Alexander P. Leff, Jenny Crinion:
NUVA: A Naming Utterance Verifier for Aphasia Treatment. - Florian Kennel-Maushart, Roi Poranne, Stelian Coros:
Manipulability optimization for multi-arm teleoperation. - Maximiliano Cristiá, Gianfranco Rossi:
Integrating Cardinality Constraints into Constraint Logic Programming with Sets. - Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu:
Doctor Imitator: A Graph-based Bone Age Assessment Framework Using Hand Radiographs. - Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu:
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. - Spyridon Mouselinos, Kyriakos Polymenakos, Antonis Nikitakis, Konstantinos Kyriakopoulos:
MAIN: Multihead-Attention Imputation Networks. - Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang:
Node-Level Membership Inference Attacks Against Graph Neural Networks. - Thorsten Eisenhofer, Lea Schönherr, Joel Frank, Lars Speckemeier, Dorothea Kolossa, Thorsten Holz:
Dompteur: Taming Audio Adversarial Examples. - Hojjat Salehinejad, Shahrokh Valaee:
Pruning of Convolutional Neural Networks Using Ising Energy Model. - Zhibao Zheng:
Structural stochastic responses determination via a sample-based stochastic finite element method. - (Withdrawn) Student sentiment Analysis Using Classification With Feature Extraction Techniques.
- Lei Liu, Chulong Liang, Junjie Ma, Li Ping:
Capacity Optimality of AMP in Coded Systems. - Nicolas Heist, Heiko Paulheim:
Information Extraction From Co-Occurring Similar Entities. - Vittoria Colizza, Eva Grill, Rafael T. Mikolajczyk, Ciro Cattuto, Adam J. Kucharski, Steven Riley, Michelle Kendall, Katrina A. Lythgoe, Lucie Abeler-Dörner, Chris Wymant, David G. Bonsall, Luca Ferretti, Christophe Fraser:
Epidemiological and public health requirements for COVID-19 contact tracing apps and their evaluation. - Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei:
Searching for Alignment in Face Recognition. - Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya:
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply. - Yaron Strauch, Jo Grundy:
Two Novel Performance Improvements for Evolving CNN Topologies. - Xinyi Li, Haibin Ling:
On the Robustness of Multi-View Rotation Averaging. - Léo Laugier, John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon:
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers. - Juliana Jansen Ferreira, Mateus de Souza Monteiro:
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions. - Katja Wolff, Philipp Herholz, Verena Ziegler, Frauke Link, Nico Brügel, Olga Sorkine-Hornung:
3D Custom Fit Garment Design with Body Movement. - Ke Sun, Vijay Kumar:
Belief Space Planning for Mobile Robots with Range Sensors using iLQG. - Yunhan Huang, Quanyan Zhu:
A Pursuit-Evasion Differential Game with Strategic Information Acquisition. - Alberto Bracci, Matthieu Nadini, Maxwell Aliapoulios, Damon McCoy, Ian W. Gray, Alexander Teytelboym, Angela Gallo, Andrea Baronchelli:
Dark Web Marketplaces and COVID-19: The vaccines. - Zhuosheng Zhang, Junlong Li, Hai Zhao:
Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge. - Grzegorz Gluch, Rüdiger L. Urbanke:
Adversarial Robustness: What fools you makes you stronger. - Yufeng Zhang, Wanwei Liu, Zhenbang Chen, Kenli Li, Ji Wang:
On the Properties of Kullback-Leibler Divergence Between Gaussians. - Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. - Bingzhuo Zhong, Abolfazl Lavaei, Hongpeng Cao, Majid Zamani, Marco Caccamo:
Safe-visor Architecture for Sandboxing (AI-based) Unverified Controllers in Stochastic Cyber-Physical Systems. - Jinpeng Guo, Ilias Zenelis, Xiaozhe Wang, Boon-Teck Ooi:
WAMS-Based Model-Free Wide-Area Damping Control by Voltage Source Converters. - Thomas Beckers:
An Introduction to Gaussian Process Models. - Florian Angermeir, Markus Voggenreiter, Fabiola Moyon, Daniel Méndez:
Enterprise-Driven Open Source Software: A Case Study on Security Automation. - Yanis Bahroun, Dmitri B. Chklovskii:
A Neural Network with Local Learning Rules for Minor Subspace Analysis. - Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. - Joaquim Silva, Eduardo R. B. Marques, Luís M. B. Lopes, Fernando M. A. Silva:
Energy-Aware Adaptive Offloading of Soft Real-Time Jobs in Mobile Edge Clouds. - Gianluigi Liva, Enrico Paolini, Marco Chiani:
Optimum Detection of Defective Elements in Non-Adaptive Group Testing. - Sebastian Cygert, Andrzej Czyzewski:
Robustness in Compressed Neural Networks for Object Detection. - Natalya Goryunova, Artem Baklanov, Egor Ianovski:
Detecting corruption in single-bidder auctions via positive-unlabelled learning. - Klas Rydhmer, Raghavendra Selvan:
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals. - Laura Antonelli, Valentina De Simone, Daniela di Serafino:
A View of Regularized Approaches for Image Segmentation. - Fahdi Kanavati, Masayuki Tsuneki:
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning. - Jelle Piepenbrock, Tom Heskes, Mikolás Janota, Josef Urban:
Learning Equational Theorem Proving. - Joakim Blikstad, Jan van den Brand, Sagnik Mukhopadhyay, Danupon Nanongkai:
Breaking the Quadratic Barrier for Matroid Intersection. - Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao:
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? - Omid Aramoon, Pin-Yu Chen, Gang Qu, Yuan Tian:
Meta Federated Learning. - Diego Lazcano, Nicolás Fredes, Werner Creixell:
Hyperbolic Generative Adversarial Network. - Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki, Alex Gittens, Charu C. Aggarwal:
TINKER: A framework for Open source Cyberthreat Intelligence. - Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
An Optimal Witness Function for Two-Sample Testing. - Maksim Nikolaev:
All instantiations of the greedy algorithm for the shortest superstring problem are equivalent. - Brian McClannahan, Cuncong Zhong, Guanghui Wang:
Classification of Long Noncoding RNA Elements Using Deep Convolutional Neural Networks and Siamese Networks. - Sharmishtha Dutta, Nidhi Rastogi, Destin Yee, Chuqiao Gu, Qicheng Ma:
Malware Knowledge Graph Generation. - Yuki Matsuda, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto:
ParmoSense: A Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine. - Stefanie Krause, Oliver Otto, Frieder Stolzenburg:
Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers. - Sotiris A. Tegos, Dimitrios Tyrovolas, Panagiotis D. Diamantoulakis, George K. Karagiannidis:
On the Distribution of the Sum of Double-Nakagami-m Random Vectors and Application in Reconfigurable Intelligent Surfaces. - Linh Vu Nguyen, Nguyen Viet Ha, Masahiro Shibata, Masato Tsuru:
TDMA-based scheduling for multi-hop wireless sensor networks with 3-egress gateway linear topology. - Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. - Nidhi Rastogi, Qicheng Ma:
DANTE: Predicting Insider Threat using LSTM on system logs. - Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.:
Systematic Generalization for Predictive Control in Multivariate Time Series. - P. Jami, E. Hashemizadeh:
A Method for Numerical Solution of Third-Kind Volterra Integral Equations Using Krall-Laguerre Polynomials. - Leonardo Bonati, Salvatore D'Oro, Francesco Restuccia, Stefano Basagni, Tommaso Melodia:
SteaLTE: Private 5G Cellular Connectivity as a Service with Full-stack Wireless Steganography. - Timm Haucke, Volker Steinhage:
Exploiting Depth Information for Wildlife Monitoring. - Glaucia Melo dos Santos, Paulo Alencar, Donald D. Cowan:
A Cognitive and Machine Learning-Based Software Development Paradigm Supported by Context. - Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi:
Searching for Fast Model Families on Datacenter Accelerators. - Pavlos Athanasios Apostolopoulos, Zehui Wang, Hanson Wang, Chad Zhou, Kittipat Virochsiri, Norm Zhou, Igor L. Markov:
Personalization for Web-based Services using Offline Reinforcement Learning. - Diane Bouchacourt, Mark Ibrahim, Stéphane Deny:
Addressing the Topological Defects of Disentanglement via Distributed Operators. - (Withdrawn) NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
- Taoufik Yeferny, Khedija Arour:
Analyse formelle de concept pour le routage des requêtes dans les systèmes pair-à-pair. - Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostic Proper Learning of Halfspaces under Gaussian Marginals. - Giuseppe Ruggiero, Enrico Zovato, Luigi Di Caro, Vincent Pollet:
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning. - Mauro Conti, Denis Donadel, Federico Turrin:
A Survey on Industrial Control System Testbeds and Datasets for Security Research. - Dori Medini, Amir Shpilka:
Hitting Sets and Reconstruction for Dense Orbits in VPe and ΣΠΣ Circuits. - Sung-Kyun Kim, Amanda Bouman, Gautam Salhotra, David D. Fan, Kyohei Otsu, Joel Burdick, Ali-akbar Agha-mohammadi:
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments. - Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Generating Synthetic Text Data to Evaluate Causal Inference Methods. - Basak Guler, Aylin Yener:
Energy-Harvesting Distributed Machine Learning. - Alaaeldin El-Nouby, Natalia Neverova, Ivan Laptev, Hervé Jégou:
Training Vision Transformers for Image Retrieval. - Andrew Brown, Ernesto Coto, Andrew Zisserman:
Automated Video Labelling: Identifying Faces by Corroborative Evidence. - Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis:
Scale Normalized Image Pyramids with AutoFocus for Object Detection. - Amirreza Jafari, Farzad Baghal Darbandi, Hadis Karimipour:
Instability Prediction in Smart Cyber-physical Grids Using Feedforward Neural Networks. - Hossein Pakdel, Reza Fotohi:
A firefly algorithm for power management in wireless sensor networks (WSNs). - Shahrzad Hadayeghparast, Amir Namavar Jahromi, Hadis Karimipour:
A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids. - Jonathan A. Handler, Craig Feied, Michael T. Gillam:
Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden. - Mollie Bianchi, Timothy D. Barfoot:
UAV Localization Using Autoencoded Satellite Images. - Sanaa Hamid Mohamed, Osama Zwaid Alsulami, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Resilient Architectures for Free Space Optical Wireless Interconnection Systems. - Mohammad Saeed Masiha, Amin Gohari, Mohammad Hossein Yassaee, Mohammad Reza Aref:
Learning under Distribution Mismatch and Model Misspecification. - Johannes Knittel, Steffen Koch, Thomas Ertl:
ELSKE: Efficient Large-Scale Keyphrase Extraction. - Aaron Brunk, Herbert Egger, Oliver Habrich, Maria Lukacova-Medvidova:
Relative energy estimates for the Cahn-Hilliard equation with concentration dependent mobility. - Tegan Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, Colin C. Olson:
A Topological Approach for Motion Track Discrimination. - Enrique Orduña-Malea:
Dot-Science Top Level Domain: academic websites or dumpsites? - Fatemah Husain, Özlem Uzuner:
Transfer Learning Approach for Arabic Offensive Language Detection System - BERT-Based Model. - Mohsen Ahmadi, Pantea Kiaei, Navid Emamdoost:
SN4KE: Practical Mutation Testing at Binary Level. - Hong Qian, Yang Yu:
Derivative-Free Reinforcement Learning: A Review. - Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Björn E. Ottersten, Mérouane Debbah:
Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls. - Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing. - Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. - Sai Aparna Aketi, Amandeep Singh, Jan M. Rabaey:
Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets. - Fernando Chirigati, Rémi Rampin, Aécio S. R. Santos, Aline Bessa, Juliana Freire:
Auctus: A Dataset Search Engine for Data Augmentation. - Shijie Wu, Edoardo Maria Ponti, Ryan Cotterell:
Differentiable Generative Phonology. - John Kalung Leung, Igor Griva, William G. Kennedy:
An Affective Aware Pseudo Association Method to Connect Disjoint Users Across Multiple Datasets - An Enhanced Validation Method for Text-based Emotion Aware Recommender. - Kai Presler-Marshall, Sarah Heckman, Kathryn T. Stolee:
SQLRepair: Identifying and Repairing Mistakes in Student-Authored SQL Queries. - Muhammad Hamad Zaheer:
Effects of Renewable Energy Sources on Day-Ahead Electricity Markets. - Francesco Betti Sorbelli, Stefano Carpin, Federico Coro, Sajal K. Das, Alfredo Navarra, Cristina M. Pinotti:
Speeding up Routing Schedules on Aisle-Graphs with Single Access. - Yann Hamdaoui:
Interpreting a concurrent λ-calculus in differential proof nets (extended version). - Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei:
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. - Paola F. Antonietti, Enrico Manuzzi:
Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods. - Peiyi Zhang, Xiaodong Jiang, Ginger M. Holt, Nikolay Pavlovich Laptev, Caner Komurlu, Peng Gao, Yang Yu:
Self-supervised learning for fast and scalable time series hyper-parameter tuning. - Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes:
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor. - Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández:
Temporal Parallelization of Inference in Hidden Markov Models. - Ruben Hoeksma, Matthew T. Maat:
A better lower bound for Lower-Left Anchored Rectangle Packing. - Ondrej Cífka, Alexey Ozerov, Umut Simsekli, Gaël Richard:
Self-Supervised VQ-VAE For One-Shot Music Style Transfer. - Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Gulshan Saleem, Muhammad Usman Younus:
Development of Crop Yield Estimation Model using Soil and Environmental Parameters. - Jess Hohenstein, Dominic DiFranzo, René F. Kizilcec, Zhila Aghajari, Hannah Mieczkowski, Karen Levy, Mor Naaman, Jeff T. Hancock, Malte F. Jung:
Artificial intelligence in communication impacts language and social relationships. - Shohreh Shaghaghian, Luna Yue Feng, Borna Jafarpour, Nicolai Pogrebnyakov:
Customizing Contextualized Language Models forLegal Document Reviews. - Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis:
Sparse graph based sketching for fast numerical linear algebra. - Marc Rigter, Bruno Lacerda, Nick Hawes:
Risk-Averse Bayes-Adaptive Reinforcement Learning. - Ge Gao, Samiha Marwan, Thomas W. Price:
Early Performance Prediction using Interpretable Patterns in Programming Process Data. - Renjie Zheng, Junkun Chen, Mingbo Ma, Liang Huang:
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation. - Svan Lembke, Youry Khmelevsky, Lee Cartier:
Developing industry-wide information management capabilities: A case study from British Columbia's tree fruit industry. - Ziv Pollak:
Predicting Customer Lifetime Values - ecommerce use case. - Guillem Torrente, Elia Kaufmann, Philipp Foehn, Davide Scaramuzza:
Data-Driven MPC for Quadrotors. - Vojtech Vancura, Pavel Kordík:
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP). - Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris:
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. - Kiarash Banihashem, Adish Singla, Goran Radanovic:
Defense Against Reward Poisoning Attacks in Reinforcement Learning. - Yue Xie, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights. - Aviad Rubinstein, Junyao Zhao:
Budget-Smoothed Analysis for Submodular Maximization. - Junior Rojas, Eftychios Sifakis, Ladislav Kavan:
Differentiable Implicit Soft-Body Physics. - Zhi Wen Si, Longfei Yin, Bruno Clerckx:
Rate-Splitting Multiple Access for Multigateway Multibeam Satellite Systems with Feeder Link Interference. - Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi, Anton A. Stoorvogel:
State Synchronization of Discrete-time Multi-agent Systems in Presence of Unknown Nonuniform Communication Delays: A Scale-free Protocol Design. - Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun:
Robust Policy Gradient against Strong Data Corruption. - Leighton Pate Barnes, Ayfer Özgür:
Fisher Information and Mutual Information Constraints. - Arian Ahmadi, Peter H. Bauer:
On Energy Optimal Speed Trajectories: The Impact of Electric Powertrain Efficiency Characteristics. - Karel Mundnich, Alexandra Fenster, Aparna Khare, Shiva Sundaram:
Audiovisual Highlight Detection in Videos. - Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
On the Performance of the Primary and Secondary Links in a 3-D Underlay Cognitive Molecular Communication. - Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan, Charilaos Mousoulis, John W. Sutherland, Saurabh Bagchi:
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems. - Mengjiao Yang, Ofir Nachum:
Representation Matters: Offline Pretraining for Sequential Decision Making. - Verónica Anaya, David Mora, Amiya Kumar Pani, Ricardo Ruiz-Baier:
Numerical analysis of a new formulation for the Oseen equations in terms of vorticity and Bernoulli pressure. - Raimund Bürger, Arbaz Khan, Paul E. Méndez, Ricardo Ruiz-Baier:
Divergence-conforming methods for transient doubly-diffusive flows: A priori and a posteriori error analysis. - Jianjin Xu, Zheyang Xiong, Xiaolin Hu:
Frame Difference-Based Temporal Loss for Video Stylization. - Joel Joseph, Alex Gu:
Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning. - Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu:
Causal Inference for Time series Analysis: Problems, Methods and Evaluation. - Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Stephen G. Kobourov, Richard Spence:
Multi-level Weighted Additive Spanners. - Christos N. Mavridis, John S. Baras:
Online Deterministic Annealing for Classification and Clustering. - Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra:
Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams. - Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy, Colleen Saunders-Chukwu, Rajiv Ramnath:
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. - Joachim Gudmundsson, André van Renssen, Zeinab Saeidi, Sampson Wong:
Translation Invariant Fréchet Distance Queries. - Zheng Shi, Ethan Tseng, Mario Bijelic, Werner Ritter, Felix Heide:
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media. - Bingqing Liu, Theodoros P. Pantelidis, Stephanie Tam, Joseph Y. J. Chow:
An electric vehicle charging station access equilibrium model with M/D/C queueing. - Arindam Khan, Eklavya Sharma, K. V. N. Sreenivas:
Approximation Algorithms for Generalized Multidimensional Knapsack. - Laleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez:
Predicting Clinical Deterioration in Hospitals. - Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang:
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. - Camilo Cruz Gambardella, Jon McCormack:
Searching for Designs in-between. - Pooya Tavallali, Vahid Behzadan, Peyman Tavallali, Mukesh Singhal:
Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors. - Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius:
ABOShips - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. - Jan Janak, Dana Chee, Hema Retty, Artiom Baloian, Henning Schulzrinne:
Talking After Lights Out: An Ad Hoc Network for Electric Grid Recovery. - Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita:
Onoma-to-wave: Environmental sound synthesis from onomatopoeic words. - David Malmgren-Hansen, Allan Aasbjerg Nielsen, Leif Toudal Pedersen:
Explainability in CNN Models By Means of Z-Scores. - Kaiwen Li, Tao Zhang, Rui Wang, Yuheng Wang, Yi Han:
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems. - Kai-Fung Chu, Lintao Zhang:
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data. - Glenn Dawson, Robi Polikar:
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. - Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter:
Brain Modelling as a Service: The Virtual Brain on EBRAINS. - Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric:
Near-field Tracking with Large Antenna Arrays: Fundamental Limits and Practical Algorithms. - Ali Bou Nassif, Ismail Shahin, Shibani Hamsa, Nawel Nemmour, Keikichi Hirose:
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions. - Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt:
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches. - Pouria Behnoudfar, Quanling Deng, Victor M. Calo:
Higher-order generalized-α methods for parabolic problems. - Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng:
RobOT: Robustness-Oriented Testing for Deep Learning Systems. - Qiang Han, Shaolin Ji:
Novel multi-step predictor-corrector schemes for backward stochastic differential equations. - Nishrith Saini, Ricardo Britto:
Using Machine Intelligence to Prioritise Code Review Requests. - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification. - Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yun-Hsuan Sung, Zhen Li, Tom Duerig:
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. - Lidia López, Alessandra Bagnato, Antonin Ahberve, Xavier Franch:
QFL: Data-Driven Feedback Loop to Manage Quality in Agile Development. - Claudio Mancinelli, Giacomo Nazzaro, Fabio Pellacini, Enrico Puppo:
b/Surf: Interactive Bézier Splines on Surfaces. - Yiping Jin, Akshay Bhatia, Dittaya Wanvarie, Phu T. V. Le:
Generating Coherent and Diverse Slogans with Sequence-to-Sequence Transformer. - N. Kishore Kumar, Shubhashree Mohapatra:
Performance of nonconforming spectral element method for Stokes problems. - Marco Maggesi, Cosimo Perini Brogi:
A formal proof of modal completeness for provability logic. - Rineke Verbrugge:
Zero-one laws for provability logic: Axiomatizing validity in almost all models and almost all frames. - Viet Man Le, Alexander Felfernig, Mathias Uta, David Benavides, José A. Galindo, Thi Ngoc Trang Tran:
DirectDebug: Automated Testing and Debugging of Feature Models. - Sohail Ahmed Khan, Alessandro Artusi, Hang Dai:
Adversarially robust deepfake media detection using fused convolutional neural network predictions. - Zuchao Li, Zhuosheng Zhang, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita:
Text Compression-aided Transformer Encoding. - Gianluca Amato, Marco Maggesi, Cosimo Perini Brogi:
Universal Algebra in UniMath. - Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, Niloy Ganguly, Abir De:
Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach. - Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo:
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms. - Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan, Adam Singer, Mark Henry, Henry C. Thode:
EventScore: An Automated Real-time Early Warning Score for Clinical Events. - Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín:
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. - Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel, Tim Weyrich:
Neural BRDF Representation and Importance Sampling. - Koji Minoda, Fabian Schilling, Valentin Wüest, Dario Floreano, Takehisa Yairi:
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments. - José Ramón González de Mendívil, Federico Fariña:
Recognizability of languages via deterministic finite automata with values on a monoid: General Myhill-Nerode Theorem. - Wael Alghamdi, Flávio P. Calmon:
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. - Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo:
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation. - Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. - Marlotte Pannekoek, Giacomo Spigler:
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks. - Christian Berthold, Johann Gross, Christian Frey, Malte Krack:
Development of a Fully-Coupled Harmonic Balance Method and a Refined Energy Method for the Computation of Flutter-Induced Limit Cycle Oscillations of Bladed Disks with Nonlinear Friction Contacts. - Markus Eberts, Adrian Ulges:
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning. - Abdullah Giray Yaglikçi, Minesh Patel, Jeremie S. Kim, Roknoddin Azizi, Ataberk Olgun, Lois Orosa, Hasan Hassan, Jisung Park, Konstantinos Kanellopoulos, Taha Shahroodi, Saugata Ghose, Onur Mutlu:
BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows. - Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model. - Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania:
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. - Malgorzata Biernacka, Witold Charatonik, Tomasz Drab:
Strong Call by Value is Reasonable for Time. - Marios Tyrovolas, Tibor Hajnal:
Inter-communication between Programmable Logic Controllers using IoT technologies: A Modbus RTU/MQTT Approach. - Harrie Oosterhuis, Maarten de Rijke:
Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank. - Nikola Konstantinov, Christoph H. Lampert:
Fairness Through Regularization for Learning to Rank. - Alexander Schäfer, Gerd Reis, Didier Stricker:
A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems. - Uddalok Sarkar, Sayan Nag, Chirayata Bhattacharya, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Language Independent Emotion Quantification using Non linear Modelling of Speech. - Nikola Konstantinov, Christoph H. Lampert:
Fairness-Aware Learning from Corrupted Data. - Shota Nagahama, Fukuhito Ooshita, Michiko Inoue:
Terminating grid exploration with myopic luminous robots. - Arthur Brack, Anett Hoppe, Pascal Buschermöhle, Ralph Ewerth:
Sequential Sentence Classification in Research Papers using Cross-Domain Multi-Task Learning. - Sagi Buchatsky, Eran Treister:
Full waveform inversion using extended and simultaneous sources. - Elizabeth Bismut, Daniel Straub:
Optimal adaptive inspection and maintenance planning for deteriorating structural systems. - Andrés M. Rueda-Ramírez, Gregor J. Gassner:
A Subcell Finite Volume Positivity-Preserving Limiter for DGSEM Discretizations of the Euler Equations. - Simon Pfenning, Philipp Holzinger, Marc Reichenbach:
Transparent FPGA Acceleration with TensorFlow. - Anav Mehta:
Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku). - Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger:
Making Paper Reviewing Robust to Bid Manipulation Attacks. - Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, Ralph Ewerth:
Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies. - Luca Casini, Marco Roccetti, Giovanni Delnevo, Nicolò Marchetti, Valentina Orrù:
The Barrier of meaning in archaeological data science. - Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau:
Feature Selection for Multivariate Time Series via Network Pruning. - Liuyihan Song, Pan Pan, Kang Zhao, Hao Yang, Yiming Chen, Yingya Zhang, Yinghui Xu, Rong Jin:
Large-Scale Training System for 100-Million Classification at Alibaba. - Rajesh Kaluri, Dharmendra Singh Rajput, Qin Xin, Kuruva Lakshmanna, Sweta Bhattacharya, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta:
Roughsets-based Approach for Predicting Battery Life in IoT. - Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li:
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility. - Shoma Matsui, Stéphane Lafortune:
Synthesis of Winning Attacks on Communication Protocols using Supervisory Control Theory. - Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, Widanalage Dhammika Widanage, James Marco:
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification. - Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Speech enhancement with mixture-of-deep-experts with clean clustering pre-training. - Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien B. Taylor:
A Continuized View on Nesterov Acceleration. - Atif Mashkoor, Michael Leuschel, Alexander Egyed:
Validation Obligations: A Novel Approach to Check Compliance between Requirements and their Formal Specification. - Sayan Nag, Uddalok Sarkar, Shankha Sanyal, Archi Banerjee, Souparno Roy, Samir Karmakar, Ranjan Sengupta, Dipak Ghosh:
A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction. - Hossein Mohammadi Rouzbahani, Hadis Karimipour, Lei Lei:
An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids. - Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Yang Jun:
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning. - Minh Hoàng Hà, Dinh Quy Ta, Trung Thanh Nguyen:
Exact Algorithms for Scheduling Problems on Parallel Identical Machines with Conflict Jobs. - Rajendra P. Joshi, Neeraj Kumar:
Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective. - Tae Jun Jang, Kang Cheol Kim, Hyun Cheol Cho, Jin Keun Seo:
A fully automated method for 3D individual tooth identification and segmentation in dental CBCT. - Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang:
On Deep Learning with Label Differential Privacy. - Christos Tzelepis, Ioannis Patras:
Uncertainty Propagation in Convolutional Neural Networks: Technical Report. - Ajinkya Gaikwad, Soumen Maity:
Edge Deletion to Restrict the Size of an Epidemic. - Matteo De Petrillo, Jared J. Beard, Yu Gu, Jason N. Gross:
Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment. - Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. - Yang Li, Junier B. Oliva:
Partially Observed Exchangeable Modeling. - Fatemeh Yaghoubpour, Bahador Bakhshi, Fateme Seifi:
End-to-End Delay Guaranteed SFC Deployment: A Multi-level Mapping Approach. - Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. - Austin Z. Henley, Julian Ball, Benjamin Klein, Aiden Rutter, Dylan Lee:
An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior. - Clark Zhang, Santiago Paternain, Alejandro Ribeiro:
Sufficiently Accurate Model Learning for Planning. - Rinon Gal, Dana Cohen, Amit Bermano, Daniel Cohen-Or:
SWAGAN: A Style-based Wavelet-driven Generative Model. - Claire Leibowicz, Sean McGregor, Aviv Ovadya:
The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media. - Hugo Latapie, Özkan Kiliç, Gaowen Liu, Yan Yan, Ramana Kompella, Pei Wang, Kristinn R. Thórisson, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa:
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice. - D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia:
District-Fair Participatory Budgeting. - Man M. Ho, Jinjia Zhou:
Deep Photo Scan: Semi-supervised learning for dealing with the real-world degradation in smartphone photo scanning. - Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári:
Meta-Thompson Sampling. - Milos Jovanovik, Timo Homburg, Mirko Spasic:
A GeoSPARQL Compliance Benchmark. - Anatoly B. Bakushinsky, Alexander S. Leonov:
A fast algorithm for solving a three-dimensional inverse multiple frequency problems of scalar acoustics in a cylindrical region. - Daniel Arteaga, Jordi Pons:
Multichannel-based learning for audio object extraction. - Marina Speranskaya, Martin Schmitt, Benjamin Roth:
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality. - Valentin Goranko, Fengkui Ju:
A Logic for Conditional Local Strategic Reasoning. - Hashim A. Hashim:
A Geometric Nonlinear Stochastic Filter for Simultaneous Localization and Mapping. - Francisco Flórez-Revuelta:
EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subsets. - Tian Wang, Yuri M. Brovman, Sriganesh Madhvanath:
Personalized Embedding-based e-Commerce Recommendations at eBay. - Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi:
Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy. - Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner:
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. - Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha:
Testing Framework for Black-box AI Models. - Morgan Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. - Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan:
High-Performance Large-Scale Image Recognition Without Normalization. - Shagun Sodhani, Amy Zhang, Joelle Pineau:
Multi-Task Reinforcement Learning with Context-based Representations. - Timothy M. Chan, Virginia Vassilevska Williams, Yinzhan Xu:
Algorithms, Reductions and Equivalences for Small Weight Variants of All-Pairs Shortest Paths. - Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh:
CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse. - Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. - Karthik Ramakrishnan, Gokul P, Preet Batavia, Shreesh Tripathi:
Zeoco: An insight into daily carbon footprint consumption. - Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vialov, Anatolii Zaikovskii, Aleksandr Petiushko:
Quadric hypersurface intersection for manifold learning in feature space. - Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. - Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu:
Adversarial Segmentation Loss for Sketch Colorization. - Yufei Ye, Shubham Tulsiani, Abhinav Gupta:
Shelf-Supervised Mesh Prediction in the Wild. - Shih-Yang Su, Frank Yu, Michael Zollhöfer, Helge Rhodin:
A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering. - Anastasios N. Angelopoulos, Stephen Bates, Tijana Zrnic, Michael I. Jordan:
Private Prediction Sets. - Jesse Michael Han, Jason Rute, Yuhuai Wu, Edward W. Ayers, Stanislas Polu:
Proof Artifact Co-training for Theorem Proving with Language Models. - Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Disentangled Representations from Non-Disentangled Models. - Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Neural Re-rendering for Full-frame Video Stabilization. - Wolfgang Mauerer, Ralf Ramsauer, Edson Ramiro Lucas Filho, Stefanie Scherzinger:
Silentium! Run-Analyse-Eradicate the Noise out of the DB/OS Stack. - Vidyadhar Upadhya, P. S. Sastry:
Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization. - Michael Xieyang Liu, Aniket Kittur, Brad A. Myers:
To Reuse or Not To Reuse? A Framework and System for Evaluating Summarized Knowledge. - Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári:
Optimization Issues in KL-Constrained Approximate Policy Iteration. - Florian Richter, Jingpei Lu, Ryan K. Orosco, Michael C. Yip:
Robotic Tool Tracking under Partially Visible Kinematic Chain: A Unified Approach. - Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka:
Deep Reinforcement Agent for Scheduling in HPC. - Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. - Sarah Huiyi Cen, Devavrat Shah:
Regret, stability, and fairness in matching markets with bandit learners. - Jie Shen:
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise. - Harun Oz, Ahmet Aris, Albert Levi, A. Selcuk Uluagac:
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions. - Larissa Braz, Enrico Fregnan, Gül Çalikli, Alberto Bacchelli:
Why Don't Developers Detect Improper Input Validation?'; DROP TABLE Papers; -. - Arthur Douillard, Timothée Lesort:
Continuum: Simple Management of Complex Continual Learning Scenarios. - Ahmed Raoof, Chung-Horng Lung, Ashraf Matrawy:
Securing RPL using Network Coding: The Chained Secure Mode (CSM). - Lucas Kruitwagen:
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model. - Mohammad Bakhshalipour, Mohamad Qadri, Dominic Guri:
Speculative Path Planning. - Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment using Redundancy. - Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg, Elza Erkip:
On Graph Matching Using Generalized Seed Side-Information. - Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar:
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. - Vishakh Padmakumar, He He:
Unsupervised Extractive Summarization using Pointwise Mutual Information. - Oleg Szehr:
Hedging of Financial Derivative Contracts via Monte Carlo Tree Search. - Mohsen Heidari, Wojciech Szpankowski:
On Agnostic PAC Learning using L2-polynomial Regression and Fourier-based Algorithms. - Wei Gao, Russ Tedrake:
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation. - Guojun Xiong, Gang Yan, Rahul Singh, Jian Li:
Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers. - Mads Toftrup, Søren Asger Sørensen, Manuel R. Ciosici, Ira Assent:
A reproduction of Apple's bi-directional LSTM models for language identification in short strings. - Yao Qian, Ximo Bian, Yu Shi, Naoyuki Kanda, Leo Shen, Zhen Xiao, Michael Zeng:
Speech-language Pre-training for End-to-end Spoken Language Understanding. - Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients. - Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo:
K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification. - Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou:
When and How Mixup Improves Calibration. - Leda Sari, Kritika Singh, Jiatong Zhou, Lorenzo Torresani, Nayan Singhal, Yatharth Saraf:
A Multi-View Approach To Audio-Visual Speaker Verification. - Yigit Küçük, Tim A. D. Henderson, Andy Podgurski:
Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques. - Xingyu Zhou, Ness B. Shroff:
No-Regret Algorithms for Time-Varying Bayesian Optimization. - Aadesh Bagmar, Josiah Wedgwood, Dave Levin, Jim Purtilo:
I Know What You Imported Last Summer: A study of security threats in thePython ecosystem. - Damien Garreau, Dina Mardaoui:
What does LIME really see in images? - Ricarda Anna-Lena Fischer, Rita Walczuch, Emitza Guzman:
Does Culture Matter? Impact of Individualism and Uncertainty Avoidance on App Reviews. - Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. - Sherlock A. Licorish, Stephen G. MacDonell:
Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study. - Sherlock A. Licorish, Stephen G. MacDonell:
Relating IS Developers' Attitudes to Engagement. - Jared Rand, Andriy V. Miranskyy:
On Automatic Parsing of Log Records. - Steve Dai, Alicia Klinefelter, Haoxing Ren, Rangharajan Venkatesan, Ben Keller, Nathaniel Ross Pinckney, Brucek Khailany:
Verifying High-Level Latency-Insensitive Designs with Formal Model Checking. - Trung Quang Tran, Mingu Kang, Daeyoung Kim:
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation. - Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients. - Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh:
Efficient Algorithms for Federated Saddle Point Optimization. - Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding:
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. - Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. - Tamar Lichter Blanks, Stephen D. Miller:
Generating cryptographically-strong random lattice bases and recognizing rotations of Zn. - Kátia Romero Felizardo, Elisa Yumi Nakagawa, Stephen G. MacDonell, José Carlos Maldonado:
A Visual Analysis Approach to Update Systematic Reviews. - Laurent Pagnier, Michael Chertkov:
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems. - Yifei Wang, Peng Chen, Wuchen Li:
Projected Wasserstein gradient descent for high-dimensional Bayesian inference. - (Withdrawn) An approximation method for electromagnetic wave models based on fractional partial derivative.
- Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Christoph Treude:
Same File, Different Changes: The Potential of Meta-Maintenance on GitHub. - Zachary Nado, Justin Gilmer, Christopher J. Shallue, Rohan Anil, George E. Dahl:
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes. - Mao Li, Bo Yang, Joshua Levy, Andreas Stolcke, Viktor Rozgic, Spyros Matsoukas, Constantinos Papayiannis, Daniel Bone, Chao Wang:
Contrastive Unsupervised Learning for Speech Emotion Recognition. - Ye Luo, Shiqing Fan:
Min-Max-Plus Neural Networks. - Guang Yang, Xiang Chen, Ke Liu, Chi Yu:
DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction. - Sandra Carrasco, David Fernández Llorca, Miguel Ángel Sotelo:
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs. - Wenjing Chu:
A Decentralized Approach Towards Responsible AI in Social Ecosystems. - Yasutada Oohama, Bagus Santoso:
Distributed Source Coding with Encryption Using Correlated Keys. - Suresh Kumar, Qaisar Imtiaz, Sarmad Mahar:
Software Estimations Risk in Pakistan Software Industry. - Sahaj Garg, Joe Lou, Anirudh Jain, Mitchell A. Nahmias:
Dynamic Precision Analog Computing for Neural Networks. - Sahaj Garg, Anirudh Jain, Joe Lou, Mitchell A. Nahmias:
Confounding Tradeoffs for Neural Network Quantization. - Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin:
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. - Wenyu Wang, Wei Yang, Tianyin Xu, Tao Xie:
Speculating Ineffective UI Exploration via Trace Analysis. - Monica Sunkara, Chaitanya Shivade, Sravan Bodapati, Katrin Kirchhoff:
Neural Inverse Text Normalization. - Gongpu Chen, Soung Chang Liew, Yulin Shao:
Uncertainty-of-Information Scheduling: A Restless Multi-armed Bandit Framework. - Xiaocheng Li, Chunlin Sun, Yinyu Ye:
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. - Shigemichi Matsuzaki, Jun Miura, Hiroaki Masuzawa:
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots. - Peter Kairouz, Ziyu Liu, Thomas Steinke:
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation. - Thibault Allançon, Antoine Pietri, Stefano Zacchiroli:
The Software Heritage Filesystem (SwhFS): Integrating Source Code Archival with Development. - Laria Reynolds, Kyle McDonell:
Multiversal views on language models. - Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Yongyun Choi, Junil Choi:
Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint. - Max Weber, Sven Apel, Norbert Siegmund:
White-Box Performance-Influence Models: A Profiling and Learning Approach. - Ulrik Skre Fjordholm, Markus Musch, Nils Henrik Risebro:
Well-posedness theory for nonlinear scalar conservation laws on networks. - Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma:
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. - Onur Dizdar, Yijie Mao, Bruno Clerckx:
Rate-Splitting Multiple Access to Mitigate the Curse of Mobility in (Massive) MIMO Networks. - Nikolay Dagaev, Brett D. Roads, Xiaoliang Luo, Daniel N. Barry, Kaustubh R. Patil, Bradley C. Love:
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance. - Tanveer Hussain, Saeed Anwar, Amin Ullah, Khan Muhammad, Sung Wook Baik:
Densely Deformable Efficient Salient Object Detection Network. - Julian Büchel, Dmitrii Zendrikov, Sergio M. G. Solinas, Giacomo Indiveri, Dylan R. Muir:
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors. - Jérôme Droniou, Liam Yemm:
Robust Hybrid High-Order method on polytopal meshes with small faces. - Edwin S. Dalmaijer, Joram Van Rheede, Edwin V. Sperr, Juliane Tkotz:
Banana for scale: Gauging trends in academic interest by normalising publication rates to common and innocuous keywords. - Riku Arakawa, Hiromu Yakura:
Reaction or Speculation: Building Computational Support for Users in Catching-Up Series Based on an Emerging Media Consumption Phenomenon. - Susann Boy, Dana Ruiter, Dietrich Klakow:
Emoji-Based Transfer Learning for Sentiment Tasks. - Bernd Gärtner, Sebastian Haslebacher, Hung P. Hoang:
A Subexponential Algorithm for ARRIVAL. - Yiping Jin, Vishakha Kadam, Dittaya Wanvarie:
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia. - Peng Liu, Yuewen Cao, Songxiang Liu, Na Hu, Guangzhi Li, Chao Weng, Dan Su:
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention. - Amine Aziz-Alaoui, Carola Doerr, Johann Dréo:
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks. - Bram Adriaan Strack van Schijndel, Sihao Sun, Coen de Visser:
Fast Fault Detection on a Quadrotor using Onboard Sensors and a Kalman Filter Approach. - Jesús García Fernández, Siamak Mehrkanoon:
Broad-UNet: Multi-scale feature learning for nowcasting tasks. - Armin Moin:
Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services. - Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu:
Annotation Cleaning for the MSR-Video to Text Dataset. - Miklas Strøm Kristoffersen, Martin Bo Møller, Pablo Martínez-Nuevo, Jan Østergaard:
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset. - Franz Zieris, Lutz Prechelt:
Two Elements of Pair Programming Skill. - Avram Sidi:
Unified Compact Numerical Quadrature Formulas for Hadamard Finite Parts of Singular Integrals of Periodic Functions. - Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra:
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. - Ignasi Sau, Giannos Stamoulis, Dimitrios M. Thilikos:
A more accurate view of the Flat Wall Theorem. - Guangzhi Sun, D. Liu, Chao Zhang, Philip C. Woodland:
Content-Aware Speaker Embeddings for Speaker Diarisation. - Avram Sidi:
Exactness and Convergence Properties of Some Recent Numerical Quadrature Formulas for Supersingular Integrals of Periodic Functions. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Transformer Language Models with LSTM-based Cross-utterance Information Representation. - Avram Sidi:
PVTSIm: A Novel Approach to Computation of Hadamard Finite Parts of Nonperiodic Singular Integrals. - Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon:
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective. - Shahbaz Khan, Alexandru I. Tomescu:
Safety of Flow Decompositions in DAGs. - Furong Ye, Carola Doerr, Thomas Bäck:
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection. - Alex J. Chan, Mihaela van der Schaar:
Scalable Bayesian Inverse Reinforcement Learning. - Luciano Lopez, Sabrina Francesca Pellegrino:
A space-time discretization of a nonlinear peridynamic model on a 2D lamina. - Francesco Quinzan, Vanja Doskoc, Andreas Göbel, Tobias Friedrich:
Adaptive Sampling for Fast Constrained Maximization of Submodular Function. - Thanasis Zoumpekas, Anna Puig, Maria Salamó, David García-Sellés, Laura Blanco Nuñez, Marta Guinau:
End-to-End Intelligent Framework for Rockfall Detection. - Eduardo Gallo:
Customizable Stochastic High Fidelity Model of the Sensors and Camera onboard a Low SWaP Fixed Wing Autonomous Aircraft. - Michael J. Maher:
On Signings and the Well-Founded Semantics. - Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb:
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. - Kai-Kristian Kemell, Atte Elonen, Mari Suoranta, Anh Nguyen-Duc, Juan Garbajosa, Rafael Chanin, Jorge Melegati, Usman Rafiq, Abdullah Aldaeej, Nana Assyne, Afonso Sales, Sami Hyrynsalmi, Juhani Risku, Henry Edison, Pekka Abrahamsson:
Business Model Canvas Should Pay More Attention to the Software Startup Team. - Kai-Kristian Kemell, Eveliina Ventilä, Petri Kettunen, Tommi Mikkonen:
Amidst Uncertainty - or Not? Decision-Making in Early-Stage Software Startups. - Sven Schoenberg, Falko Dressler:
Reducing Waiting Times at Charging Stations with Adaptive Electric Vehicle Route Planning. - Zhiming Zhang, Yongming Liu:
Robust Data-Driven Discovery of Partial Differential Equations under Uncertainties. - Kristoffer L. Nielbo, Frida Haestrup, Kenneth C. Enevoldsen, Peter Bjerregaard Vahlstrup, Rebekah Brita Baglini, Andreas Roepstorff:
When no news is bad news - Detection of negative events from news media content. - Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai:
Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations. - Maxime Amram, Jack Dunn, Jeremy J. Toledano, Ying Daisy Zhuo:
Interpretable Predictive Maintenance for Hard Drives. - Sai Vishwanath Venkatesh, Prasanna D. Kumaran, Joish J. Bosco, Pravin Kumaar R, Vineeth Vijayaraghavan:
A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones. - Meven Lennon-Bertrand:
Complete Bidirectional Typing for the Calculus of Inductive Constructions. - Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Velickovic, Michal Valko:
Bootstrapped Representation Learning on Graphs. - Lisa Oswald, Jonathan Bright:
How do climate change skeptics engage with opposing views? Understanding mechanisms of social identity and cognitive dissonance in an online forum. - Marc Hanussek, Falko Kötter, Maximilien Kintz, Jens Drawehn:
VitrAI - Applying Explainable AI in the Real World. - Pramod Vadiraja, Christoph Peter Balada:
Leveraging Reinforcement Learning for evaluating Robustness of KNN Search Algorithms. - Francesco Sanna Passino, Nicholas A. Heard:
Mutually exciting point process graphs for modelling dynamic networks. - Liu Wang, Haoyu Wang, Yi Wang, Gareth Tyson, Fei Lyu:
A Tale of Two Countries: A Longitudinal Cross-Country Study of Mobile Users' Reactions to the COVID-19 Pandemic Through the Lens of App Popularity. - David Kadish, Sebastian Risi, Anders Sundnes Løvlie:
Improving Object Detection in Art Images Using Only Style Transfer. - (Withdrawn) Algebraic cocompleteness and finitary functors.
- Jason Kamran Eshraghian, Kyoungrok Cho, Sung Mo Kang:
CrossStack: A 3-D Reconfigurable RRAM Crossbar Inference Engine. - Shaoshi Chen, Lixin Du, Manuel Kauers:
Lazy Hermite Reduction and Creative Telescoping for Algebraic Functions. - Huadong Liao, Jiawei He:
Jacobian Determinant of Normalizing Flows. - Qin Dai, Naoya Inoue, Ryo Takahashi, Kentaro Inui:
Two Training Strategies for Improving Relation Extraction over Universal Graph. - Frédéric Simard, Clémence Magnien, Matthieu Latapy:
Computing Betweenness Centrality in Link Streams. - Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal:
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages. - Ying Zhao Lian, Colin N. Jones:
From System Level Synthesis to Robust Closed-loop Data-enabled Predictive Control. - Kanya Mo, Shen Zheng, Xiwei Wang, Jinghua Wang, Klaus-Dieter Schewe:
Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network. - Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. - Steffen Kläbe, Kai-Uwe Sattler, Stephan Baumann:
Updatable Materialization of Approximate Constraints. - Jan Niehues:
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries. - Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? - Foto N. Afrati, Matthew Damigos:
Querying collections of tree-structured records in the presence of within-record referential constraints. - Mustafa Zor, Erkan Bostanci, Mehmet Serdar Güzel, Erinç Karatas:
Analysis of Interpolation based Image In-painting Approaches. - Andrés López-Martínez, Sagnik Mukhopadhyay, Danupon Nanongkai:
Work-Optimal Parallel Minimum Cuts for Non-Sparse Graphs. - Harald Hofstätter:
User manual for bch, a program for the fast computation of the Baker-Campbell-Hausdorff and similar series. - Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha:
Estimation and Applications of Quantiles in Deep Binary Classification. - Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders. - Luca Borzacchiello, Emilio Coppa, Camil Demetrescu:
Fuzzing Symbolic Expressions. - Konstantin Sofiiuk, Ilia A. Petrov, Anton Konushin:
Reviving Iterative Training with Mask Guidance for Interactive Segmentation. - Zhiguo Ding, H. Vincent Poor:
On the Application of BAC-NOMA to 6G umMTC. - Tonicha Crook, Jay Paul Morgan, Arno Pauly, Markus Roggenbach:
A Computability Perspective on (Verified) Machine Learning. - Rubén Majadas, Javier García, Fernando Fernández:
Disturbing Reinforcement Learning Agents with Corrupted Rewards. - Barbara Schütt, Danny Behnecke, Birte Kramer, Markus Steimle, Eric Sax:
A taxonomy for quality in simulation-based development and testing of automated driving systems. - Alec Farid, Anirudha Majumdar:
PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability. - Jonas Oberhauser, Rafael Lourenco de Lima Chehab, Diogo Behrens, Ming Fu, Antonio Paolillo, Lilith Oberhauser, Koustubha Bhat, Yuzhong Wen, Haibo Chen, Jaeho Kim, Viktor Vafeiadis:
VSync: Push-Button Verification and Optimization for Synchronization Primitives on Weak Memory Models (Technical Report). - Ye Yu, William A. P. Smith:
Outdoor inverse rendering from a single image using multiview self-supervision. - Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle:
Neural Architecture Search as Program Transformation Exploration. - Stefano Berrone, Denise Grappein, Stefano Scialò:
3D-1D coupling on non conforming meshes via three-field optimization based domain decomposition. - Paramveer S. Dhillon, Sinan Aral:
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach. - James O'Neill, Danushka Bollegala:
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. - Frank Schneider, Felix Dangel, Philipp Hennig:
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks. - Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. - Sabrina Kirrane:
Intelligent Software Web Agents: A Gap Analysis. - Mong-Jen Kao:
Improved LP-based Approximation Algorithms for Facility Location with Hard Capacities. - Jennifer Switzer, Rob McGuinness, Pat Pannuto, George Porter, Aaron Schulman, Barath Raghavan:
TerraWatt: Sustaining Sustainable Computing of Containers in Containers. - Shanuja Sasi, B. Sundar Rajan:
Multi-access Coded Caching Scheme with Linear Sub-packetization using PDAs. - Dave Dice, Alex Kogan:
Optimizing Inference Performance of Transformers on CPUs. - Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven:
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning. - Sara Mohammad Taheri, Robert Osazuwa Ness, Jeremy Zucker, Olga Vitek:
Do-calculus enables causal reasoning with latent variable models. - Pascal Debus, Nicolas M. Müller, Konstantin Böttinger:
Deep Reinforcement Learning for Backup Strategies against Adversaries. - Yamin Yan, Sonja Stüdli, María M. Seron, Richard H. Middleton:
Discrete-Time Consensus Networks: Scalability, Grounding and Countermeasures. - Alexander Felfernig, Viet Man Le, Andrei Popescu, Mathias Uta, Thi Ngoc Trang Tran, Müslüm Atas:
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration. - Christoph Hertrich, Leon Sering:
ReLU Neural Networks for Exact Maximum Flow Computation. - Francesco Betti Sorbelli, Mauro Conti, Cristina M. Pinotti, Giulio Rigoni:
UAVs Path Deviation Attacks: Survey and Research Challenges. - Christian Fröhlich, Alexandra Gessner, Philipp Hennig, Bernhard Schölkopf, Georgios Arvanitidis:
Bayesian Quadrature on Riemannian Data Manifolds. - Severi Rissanen, Pekka Marttinen:
A Critical Look At The Identifiability of Causal Effects with Deep Latent Variable Models. - Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang:
Robust White Matter Hyperintensity Segmentation on Unseen Domain. - Cole Franks, Philipp Reichenbach:
Barriers for recent methods in geodesic optimization. - Corto Mascle, Christel Baier, Florian Funke, Simon Jantsch, Stefan Kiefer:
Responsibility and verification: Importance value in temporal logics. - Mohammadhossein Ghahramani, Francesco Pilla:
Leveraging Artificial Intelligence to Analyze the COVID-19 Distribution Pattern based on Socio-economic Determinants. - Pingchuan Ma, Stavros Petridis, Maja Pantic:
End-to-end Audio-visual Speech Recognition with Conformers. - Mohammadhossein Ghahramani, Nadina J. Galle, Fabio Duarte, Carlo Ratti, Francesco Pilla:
Leveraging Artificial Intelligence to Analyze Citizens' Opinions on Urban Green Space. - Friedemann Kemm:
Numerical investigation of Mach number consistent Roe solvers for the Euler equations of gas dynamics. - Isaque Alves, Carla Rocha:
Qualifying Software Engineers Undergraduates in DevOps - Challenges of Introducing Technical and Non-technical Concepts in a Project-oriented Course. - Xianhao Jin, Francisco Servant:
What helped, and what did not? An Evaluation of the Strategies to Improve Continuous Integration. - Péter Biró, Márton Gyetvai:
Online voluntary mentoring: Optimising the assignment of students and mentors. - Anupam Das, Avgerinos Delkos:
Proof complexity of positive branching programs. - Alexander Reichenbach, J.-Emeterio Navarro-B.:
A model for traffic incident prediction using emergency braking data. - Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso, Barbara Caputo, Fabio Maria Carlucci:
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation. - Syed Asad Alam, James Garland, David Gregg:
Low precision logarithmic number systems: Beyond base-2. - Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu:
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting. - Rui Li, Xiantuo He, Danna Xue, Shaolin Su, Qing Mao, Yu Zhu, Jinqiu Sun, Yanning Zhang:
Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance. - Hongliu Cao, Eoin Thomas:
Destination similarity based on implicit user interest. - Youngjun Cho:
Rethinking Eye-blink: Assessing Task Difficulty through Physiological Representation of Spontaneous Blinking. - Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P. Cunningham:
Bias-Free Scalable Gaussian Processes via Randomized Truncations. - Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes. - Mohammadreza Noormandipour, Hanchen Wang:
A Parameterised Quantum Circuit Approach to Point Set Matching. - Nikola Jovanovic, Mislav Balunovic, Maximilian Baader, Martin T. Vechev:
Certified Defenses: Why Tighter Relaxations May Hurt Training? - Yasaman Bahri, Ethan Dyer, Jared Kaplan, Jaehoon Lee, Utkarsh Sharma:
Explaining Neural Scaling Laws. - Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik:
Proximal and Federated Random Reshuffling. - Akio Hayakawa, Masato Ishii, Yoshiyuki Kobayashi, Akira Nakamura, Takuya Narihira, Yukio Obuchi, Andrew Shin, Takuya Yashima, Kazuki Yoshiyama:
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives. - Ansong Ni, Daniel Ramos, Aidan Z. H. Yang, Inês Lynce, Vasco Manquinho, Ruben Martins, Claire Le Goues:
SOAR: A Synthesis Approach for Data Science API Refactoring. - Paul C. Attie:
Operational Annotations: A new method for sequential program verification. - Igor Garcia Ballhausen Sampaio, Luigy Machaca, José Viterbo, Joris Guérin:
A novel method for object detection using deep learning and CAD models. - Jiapeng Wang, Chongyu Liu, Lianwen Jin, Guozhi Tang, Jiaxin Zhang, Shuaitao Zhang, Qianying Wang, Yaqiang Wu, Mingxiang Cai:
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution. - Zan Huang:
Revisiting the details when evaluating a visual tracker. - Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou:
Learning Deep Neural Networks under Agnostic Corrupted Supervision. - Yi Ren, Donald Goldfarb:
Kronecker-factored Quasi-Newton Methods for Convolutional Neural Networks. - Nicholas P. Baskerville, Diego Granziol, Jonathan P. Keating:
Applicability of Random Matrix Theory in Deep Learning. - Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Options via Meta-Learned Subgoals. - Joshua S. Friedman:
Edge Minimizing the Student Conflict Graph. - Raphael Labaca Castro, Luis Muñoz-González, Feargus Pendlebury, Gabi Dreo Rodosek, Fabio Pierazzi, Lorenzo Cavallaro:
Universal Adversarial Perturbations for Malware. - Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, Dong Yu:
Structural Information Preserving for Graph-to-Text Generation. - Milind Rao, Pranav Dheram, Gautam Tiwari, Anirudh Raju, Jasha Droppo, Ariya Rastrow, Andreas Stolcke:
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding. - Jingbo Wang, Chungha Sung, Mukund Raghothaman, Chao Wang:
Data-Driven Synthesis of Provably Sound Side Channel Analyses. - Preeti Ramaraj, Charles L. Ortiz Jr., Matthew Klenk, Shiwali Mohan:
Unpacking Human Teachers' Intentions For Natural Interactive Task Learning. - Manik Kuchroo, Abhinav Godavarthi, Guy Wolf, Smita Krishnaswamy:
Multimodal data visualization, denoising and clustering with integrated diffusion. - Martin Gebert, J.-Emeterio Navarro-B.:
Towards automatic extraction and validation of on-street parking spaces using park-out events data. - Zhishen Huang, Stephen Becker:
Stochastic Gradient Langevin Dynamics with Variance Reduction. - Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu:
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset. - Nikos Voskarides:
Supporting search engines with knowledge and context. - Audrei Evans, James Frederick Sawicki, Hung Luyen, Yahya Mohtashami, Nader Behdad, Susan C. Hagness:
Feasibility Study of Microsecond Pulsed Microwave Ablation using a Minimally Invasive Antenna. - Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein:
Technical Challenges for Training Fair Neural Networks. - Karl Kurzer, Philip Schörner, Alexander Albers, Hauke Thomsen, Karam Daaboul, J. Marius Zöllner:
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning. - Konstantinos Dovelos, Michail Matthaiou, Hien Quoc Ngo, Boris Bellalta:
Channel Estimation and Hybrid Combining for Wideband Terahertz Massive MIMO Systems. - Haniyeh Rafiee, Mohammad Fakhredanesh:
Presenting a Method for Improving Echo Hiding. - Eslam Mohamed, Abdelrahman Shaker, Hazem Rashed, Ahmad El Sallab, Mayada Hadhoud:
INSTA-YOLO: Real-Time Instance Segmentation. - Apostolos I. Rikos, Themistoklis Charalambous, Karl Henrik Johansson, Christoforos N. Hadjicostis:
Distributed Event-Triggered Algorithms for Finite-Time Privacy-Preserving Quantized Average Consensus. - Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan:
Machine Learning for Mechanical Ventilation Control. - Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska:
Q-Value Weighted Regression: Reinforcement Learning with Limited Data. - George B. Mertzios, Hendrik Molter, Malte Renken, Paul G. Spirakis, Philipp Zschoche:
The Complexity of Transitively Orienting Temporal Graphs. - Wei Xiao, Calin A. Belta, Christos G. Cassandras:
High Order Control Lyapunov-Barrier Functions for Temporal Logic Specifications. - Tony Sun, Kellie Webster, Apurva Shah, William Yang Wang, Melvin Johnson:
They, Them, Theirs: Rewriting with Gender-Neutral English. - Songnian Zhang, Suprio Ray, Rongxing Lu, Yandong Zheng:
Spatial Interpolation-based Learned Index for Range and kNN Queries. - Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. - Anselmo Ferreira, Ehsan Nowroozi, Mauro Barni:
VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking. - Ernest Davis:
Unanswerable Questions about Images and Texts. - Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics. - Nicola Cotumaccio, Giovanna D'Agostino, Alberto Policriti, Nicola Prezza:
Which Regular Languages can be Efficiently Indexed? - Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas:
Reinforcement Learning For Data Poisoning on Graph Neural Networks. - Calvin Newport, Alex Weaver, Chaodong Zheng:
Asynchronous Gossip in Smartphone Peer-to-Peer Networks. - Seth Pettie, Longhui Yin:
The Structure of Minimum Vertex Cuts. - Miguel Ehécatl Morales-Trujillo:
Learning Software Quality Assurance with Bricks. - Piotr Kozakowski, Mikolaj Pacek, Piotr Milos:
Robust and Efficient Planning using Adaptive Entropy Tree Search. - Yuandong Tian, Xinlei Chen, Surya Ganguli:
Understanding self-supervised Learning Dynamics without Contrastive Pairs. - Leonid Boytsov, Zico Kolter:
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. - Stefano Giani, Luka Grubisic, Luca Heltai, Ornela Mulita:
Smoothed-adaptive perturbed inverse iteration for elliptic eigenvalue problems. - Li Lucy, David Bamman:
Characterizing English Variation across Social Media Communities with BERT. - Dominik Zietlow, Michal Rolínek, Georg Martius:
Demystifying Inductive Biases for β-VAE Based Architectures. - Amit Seal Ami, Kaushal Kafle, Kevin Moran, Adwait Nadkarni, Denys Poshyvanyk:
μSE: Mutation-based Evaluation of Security-focused Static Analysis Tools for Android. - Abigail Hickok, Yacoub H. Kureh, Heather Z. Brooks, Michelle Feng, Mason A. Porter:
A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs. - Hanzhou Wu, Gen Liu, Xinpeng Zhang:
Hiding Data Hiding. - Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques Pienaar, Gokcen Kestor:
COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry. - Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan:
Attention-based Domain Adaptation for Time Series Forecasting. - Amit Seal Ami, Kaushal Kafle, Kevin Moran, Adwait Nadkarni, Denys Poshyvanyk:
Systematic Mutation-based Evaluation of the Soundness of Security-focused Android Static Analysis Techniques. - Serge Richard, Qiwen Sun:
Bibliometric analysis on mathematics, 3 snapshots: 2005, 2010, 2015. - Omar Elazhary, Margaret-Anne D. Storey, Neil A. Ernst, Elise Paradis:
ADEPT: A Socio-Technical Theory of Continuous Integration. - Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag:
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media. - Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Lingjie Liu, Hans-Peter Seidel, Gerard Pons-Moll, Mohamed Elgharib, Christian Theobalt:
Learning Speech-driven 3D Conversational Gestures from Video. - Xiang Zhang, Liting Sun, Zhian Kuang, Masayoshi Tomizuka:
Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks. - Andrea Auconi, Benjamin M. Friedrich, Andrea Giansanti:
Fluctuation-response theorem for Kullback-Leibler divergences to quantify causation. - Chia-Wei Tsai, Chun-Wei Yang, Jason Lin:
Multiparty Mediated Semi-Quantum Secret Sharing Protocol. - Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou:
Distilling Double Descent. - Takuma Oda:
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network. - Alankrita Bhatt, Young-Han Kim:
Sequential prediction under log-loss with side information. - Wei Wang, Piji Li, Hai-Tao Zheng:
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. - Khang Le, Huy Nguyen, Quang Nguyen, Nhat Ho, Tung Pham, Hung Bui:
On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation. - Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith:
LTL2Action: Generalizing LTL Instructions for Multi-Task RL. - Shujian Zhang, Chengyue Gong, Eunsol Choi:
Capturing Label Distribution: A Case Study in NLI. - Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau:
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. - Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar:
Wasserstein Proximal of GANs. - Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection. - Kento Nozawa, Issei Sato:
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning. - Shengcong Chen, Changxing Ding, Minfeng Liu, Dacheng Tao:
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation. - Jerome Quenum, Kehan Wang, Avideh Zakhor:
Fast, Accurate Barcode Detection in Ultra High-Resolution Images. - Wissam J. Baddar, Seungju Han, Seon-Min Rhee, Jae-Joon Han:
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization. - KimHao Nguyen, ThanhVu Nguyen:
GenTree: Using Decision Trees to Learn Interactions for Configurable Software. - Yifang Chen, Simon S. Du, Kevin Jamieson:
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. - Yu Luo, Lina Pu:
Hardware Architecture of Wireless Power Transfer, RFID, and WIPT Systems. - Édouard Bonnet, Jaroslav Nesetril, Patrice Ossona de Mendez, Sebastian Siebertz, Stéphan Thomassé:
Twin-width and permutations. - Pierre Simon, Szymon Torunczyk:
Ordered graphs of bounded twin-width. - Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Saliency-Aware Class-Agnostic Food Image Segmentation. - Ali Raza, Lachlan Hardy, Erin Roehrer, Soonja Yeom, Byeong Ho Kang:
GPSPiChain-Blockchain based Self-Contained Family Security System in Smart Home. - Rourab Paul, Sreetama Sarkar, Suman Sau, Koushik Chakraborty, Sanghamitra Roy, Amlan Chakrabarti:
Voltage Scaling for Partitioned Systolic Array in A Reconfigurable Platform. - Michal Ajdarów, Antonín Kucera:
Deciding Polynomial Termination Complexity for VASS Programs. - Asim Ikram, Muhammad Awais Ali, Mirza Omer Beg:
Cache Bypassing for Machine Learning Algorithms. - Susannah Kate Devitt, Tamara Rose Pearce, Alok Kumar Chowdhury, Kerrie L. Mengersen:
A Bayesian social platform for inclusive and evidence-based decision making. - Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li:
MATCH: An MPI Fault Tolerance Benchmark Suite. - Giorgis Georgakoudis, Luanzheng Guo, Ignacio Laguna:
Reinit++: Evaluating the Performance of Global-Restart Recovery Methods For MPI Fault Tolerance. - A. R. Balasubramanian, K. S. Thejaswini:
Adaptive Synchronisation of Pushdown Automata. - Luanzheng Guo, Dong Li:
MOARD: Modeling Application Resilience to Transient Faults on Data Objects. - Raghavendra Selvan, Erik B. Dam, Jens Petersen:
Segmenting two-dimensional structures with strided tensor networks. - Tuukka Korhonen:
Lower Bounds on Dynamic Programming for Maximum Weight Independent Set. - Marcin Bienkowski, Artur Kraska, Hsiang-Hsuan Liu:
Traveling Repairperson, Unrelated Machines, and Other Stories About Average Completion Times. - Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. - Rajshakhar Paul, Asif Kamal Turzo, Amiangshu Bosu:
Why Security Defects Go Unnoticed during Code Reviews? A Case-Control Study of the Chromium OS Project. - Shuhao Zeng, Hongliang Zhang, Boya Di, Yunhua Tan, Zhu Han, H. Vincent Poor, Lingyang Song:
Reconfigurable Intelligent Surfaces in 6G: Reflective, Transmissive, or Both? - Michiel A. Bakker, Richard Everett, Laura Weidinger, Iason Gabriel, William S. Isaac, Joel Z. Leibo, Edward Hughes:
Modelling Cooperation in Network Games with Spatio-Temporal Complexity. - Fehmi Emre Kadan, Ali Özgür Yilmaz:
Beamformer Design with Smooth Constraint-Free Approximation in Downlink Cloud Radio Access Networks. - Samuel Idowu, Daniel Strüber, Thorsten Berger:
Asset Management in Machine Learning: A Survey. - Fehmi Emre Kadan, Ali Özgür Yilmaz:
A Theoretical Performance Bound for Joint Beamformer Design of Wireless Fronthaul and Access Links in Downlink C-RAN. - Kevin Williamson, Heyrim Cho, Bedrich Sousedík:
Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem. - Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. - Yogita Mahatekar, Pallavi S. Scindia:
A New family of methods for solving delay differential equations. - Beniamino Accattoli, Andrea Condoluci, Claudio Sacerdoti Coen:
Strong Call-by-Value is Reasonable, Implosively. - Aliakbar Narimani, Mahdi Moghimi, Amir Mosavi:
Hybrid Artificial Intelligence Methods for Predicting Air Demand in Dam Bottom Outlet. - Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms. - Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang:
Revisiting Smoothed Online Learning. - Panagiotis Tzirakis, Anurag Kumar, Jacob Donley:
Multi-Channel Speech Enhancement using Graph Neural Networks. - Jianer Chen, Qin Huang, Iyad Kanj, Ge Xia:
Optimal Streaming Algorithms for Graph Matching. - Cameron Shand, Richard Allmendinger, Julia Handl, Andrew M. Webb, John Keane:
HAWKS: Evolving Challenging Benchmark Sets for Cluster Analysis. - Philip Müller, Vladimir Golkov, Valentina Tomassini, Daniel Cremers:
Rotation-Equivariant Deep Learning for Diffusion MRI. - Mikhail Shchukin, Aymen Ben Said, André Lobo Teixeira:
Goods Transportation Problem Solving via Routing Algorithm. - Saman Motamed, Farzad Khalvati:
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification. - Si Chen, Yuqiu Qian, Hui Li, Chen Lin:
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels. - S. Naganandhini, M. Anandaraj, S. Manojkumar, K. Selvaraj, P. Ganeshkumar:
An Efficient Framework for Piece Selection Problem in P2P Content Distribution Network Using Fuzzy Programming Approach. - Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. - Cassio Neri, Lorenz Schneider:
Euclidean Affine Functions and Applications to Calendar Algorithms. - Febin Sunny, Asif Mirza, Mahdi Nikdast, Sudeep Pasricha:
CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator. - Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang:
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. - Parul Khurana, Kiran Sharma:
Impact of h-index on authors ranking: A comparative analysis of Scopus and WoS. - Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath:
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. - Jacob John:
Discrete Cosine Transform in JPEG Compression. - Sirvan Gharib, Abolfazl Falahati, Vahid Ahmadi:
Alternative Detectors for Spectrum Sensing by Exploiting Excess Bandwidth. - William Findlay, David Barrera, Anil Somayaji:
BPFContain: Fixing the Soft Underbelly of Container Security. - Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald:
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. - Deeksha Adil, Brian Bullins, Rasmus Kyng, Sushant Sachdeva:
Almost-linear-time Weighted 𝓁p-norm Solvers in Slightly Dense Graphs via Sparsification. - Abdelrahman Eldesokey, Michael Felsberg:
Normalized Convolution Upsampling for Refined Optical Flow Estimation. - Jon-Lark Kim, Dong Eun Ohk:
DNA codes over two noncommutative rings of order four. - Neelambuj Chaturvedi:
DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention. - Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow, Mason A. Porter:
Learning low-rank latent mesoscale structures in networks. - Taylor Dohmen, Ashutosh Trivedi:
Discounting the Past in Stochastic Games. - Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. - Xiaowu Dai, Michael I. Jordan:
Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors. - Hao Zheng, Md Rubel Ahmed, Parijat Mukherjee, Mahesh C. Ketkar, Jin Yang:
Model Synthesis for Communication Traces of System-on-Chip Designs. - Isa Inuwa-Dutse:
The first large scale collection of diverse Hausa language datasets. - Ying Zhang, Mahir Kabir, Ya Xiao, Danfeng Yao, Na Meng:
Data-Driven Vulnerability Detection and Repair in Java Code. - Sarra Talbi, Aicha Batoul, Alexandre Fotue Tabue, Edgar Martínez-Moro:
Galois hulls of cyclic serial codes over a finite chain ring. - Steve Tsham Mpinda Ataky, Alessandro Lameiras Koerich:
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures. - Saurabh Jambotkar, Yunyi Jia:
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement. - Friedhelm Victor, Andrea Marie Weintraud:
Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges. - Xiaoyu Li, Mingrui Liu, Francesco Orabona:
On the Last Iterate Convergence of Momentum Methods. - Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba:
On the convergence of group-sparse autoencoders. - Wadii Boulila, Maha Driss, Mohammed Al-Sarem, Faisal Saeed, Moez Krichen:
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives. - Devendra Singh Dhami, Siwen Yan, Sriraam Natarajan:
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN. - Sepehr Assadi, Soheil Behnezhad:
Beating Two-Thirds For Random-Order Streaming Matching. - Esmerald Aliaj, Ivan De Oliveira Nunes, Gene Tsudik:
GAROTA: Generalized Active Root-Of-Trust Architecture. - Sandhya Saisubramanian, Shlomo Zilberstein:
Mitigating Negative Side Effects via Environment Shaping. - Lyutianyang Zhang, Hao Yin, Zhanke Zhou, Sumit Roy, Yaping Sun:
Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning. - Xiaozhou Liang, John Henry Burns, Joseph Sanchez, Karthik Dantu, Lukasz Ziarek, Yu David Liu:
Understanding Bounding Functions in Safety-Critical UAV Software. - Ivan da Silva Sendin, Rodrigo Sanches Miani:
Towards reliable and transparent vaccine phase III trials with smart contracts. - Liu Cao, Hao Yin, Jie Hu, Lyutianyang Zhang:
Performance Analysis and Improvement on DSRC Application for V2V Communication. - Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto:
Interactive Learning from Activity Description. - Eleftherios Garyfallidis, Shreyas Fadnavis, Jong Sung Park, Bramsh Qamar Chandio, Javier Guaje, Serge Koudoro, Nasim Anousheh:
ThetA - fast and robust clustering via a distance parameter. - Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. - Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal:
Model-free Representation Learning and Exploration in Low-rank MDPs. - Minhyeok Lee, Junhyeop Lee, Dogyoon Lee, Woo Jin Kim, Sang-Won Hwang, Sangyoun Lee:
Robust Lane Detection via Expanded Self Attention. - Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime F. Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin:
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. - Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen:
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. - Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri:
Connecting Interpretability and Robustness in Decision Trees through Separation. - Yuanliang Zhang, Haochen He, Owolabi Legunsen, Shanshan Li, Wei Dong, Tianyin Xu:
An Evolutionary Study of Configuration Design and Implementation in Cloud Systems. - Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani:
Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. - Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. - Jinmiao Huang, Waseem Gharbieh, Han Suk Shim, Eugene Kim:
Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss. - Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu:
NeRF-: Neural Radiance Fields Without Known Camera Parameters. - Shan An, Xiajie Zhang, Dong Wei, Haogang Zhu, Jianyu Yang, Konstantinos A. Tsintotas:
FastHand: Fast Hand Pose Estimation From A Monocular Camera. - Prashant Shekhar, Abani K. Patra:
A Forward Backward Greedy approach for Sparse Multiscale Learning. - Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran:
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. - Urmish Thakker, Paul N. Whatmough, Zhi Gang Liu, Matthew Mattina, Jesse G. Beu:
Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices. - Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning:
Costly Features Classification using Monte Carlo Tree Search. - Yifan Jiang, Shiyu Chang, Zhangyang Wang:
TransGAN: Two Transformers Can Make One Strong GAN. - Omur Ozel, Parisa Rafiee:
Intermittent Status Updating Through Joint Scheduling of Sensing and Retransmissions. - Geoffrey I. Webb, François Petitjean:
Tight lower bounds for Dynamic Time Warping. - Ethan Shen, Maria Brbic, Nicholas Monath, Jiaqi Zhai, Manzil Zaheer, Jure Leskovec:
Model-Agnostic Graph Regularization for Few-Shot Learning. - Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. - Eric Neyman, Tim Roughgarden:
From Proper Scoring Rules to Max-Min Optimal Forecast Aggregation. - Nhu-Ngoc Dao, Quoc-Viet Pham, Ngo Hoang Tu, Tran Thien Thanh, Vo Nguyen Quoc Bao, Demeke Shumeye Lakew, Sungrae Cho:
Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure. - Jackson Morris, Fang Song:
Simple vertex coloring algorithms. - Rico A. R. Picone, Dane Webb, Finbarr Obierefu, Jotham Lentz:
New methods for metastimuli: architecture, embeddings, and neural network optimization. - Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. - Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau:
Domain Adversarial Reinforcement Learning. - Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. - Haodi Ping:
IMF: An Iterative Max-Flow Method for Localizability Detection. - Zheng Jia, Michael Hamer, Raffaello D'Andrea:
Distributed Estimation, Control and Coordination of Quadcopter Swarm Robots. - Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. - Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion. - Xin Ma, Xinwu Liang:
Point-line-based RGB-D SLAM and Bundle Adjustment Uncertainty Analysis. - Taha Mansouri, Mohamadreza Sadeghimoghadam, Iman Ghasemian Sahebi:
A New Algorithm for Hidden Markov Models Learning Problem. - Jasmin Bogatinovski, Ljupco Todorovski, Saso Dzeroski, Dragi Kocev:
Comprehensive Comparative Study of Multi-Label Classification Methods. - Stefan Hochwarter:
Sociotechnical Challenges of eHealth Technology for Patient Self-Management: A Systematic Review. - Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou:
State-Visitation Fairness in Average-Reward MDPs. - Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. - Sourav Mishra, Suresh Sundaram:
Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation. - Md. Mahbubur Rahman, Akash Poddar, Md. Golam Rabiul Alam, Samrat Kumar Dey:
Affective State Recognition through EEG Signals Feature Level Fusion and Ensemble Classifier. - Davide Salvi, Sebastian Gonzalez, Fabio Antonacci, Augusto Sarti:
Parametric Optimization of Violin Top Plates using Machine Learning. - Marlo Häring, Christoph Stanik, Walid Maalej:
Automatically Matching Bug Reports With Related App Reviews. - Akbar Morshed Aski, Hamid Haj Seyyed Javadi:
A novel key pre-distribution scheme based on μ-PBIBD combinatorial design in the resource-constrained IoT network. - Muhammad Zaid Hameed, András György:
Perceptually Constrained Adversarial Attacks. - Zhong Zhao, Yanmei Fu, Hanming Liang, Li Ma, Guangyao Zhao, Hongwei Jiang:
Distillation based Multi-task Learning: A Candidate Generation Model for Improving Reading Duration. - Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior:
Multipair Two-Way DF Relaying with Cell-Free Massive MIMO. - Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang:
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization. - Kushal Kedia, Abhilash Nandy:
indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages. - Tao Zhang, Quanyan Zhu:
On the Equilibrium Elicitation of Markov Games Through Information Design. - Aviv Bar-Natan, Panagiotis Charalampopoulos, Pawel Gawrychowski, Shay Mozes, Oren Weimann:
Fault-Tolerant Distance Labeling for Planar Graphs. - Andrea Abrardo, Davide Dardari, Marco Di Renzo, Xuewen Qian:
MIMO Interference Channels Assisted by Reconfigurable Intelligent Surfaces: Mutual Coupling Aware Sum-Rate Optimization Based on a Mutual Impedance Channel Model. - Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. - Rustem Islamov, Xun Qian, Peter Richtárik:
Distributed Second Order Methods with Fast Rates and Compressed Communication. - Viresh Gupta, Tanmoy Chakraborty:
Adversarial Attack on Network Embeddings via Supervised Network Poisoning. - Michael Hagenow, Emmanuel Senft, Robert G. Radwin, Michael Gleicher, Bilge Mutlu, Michael R. Zinn:
Corrective Shared Autonomy for Addressing Task Variability. - Arsham Mostaani, Thang X. Vu, Symeon Chatzinotas:
Task-oriented Communication System Design in Cyber-Physical Systems: A Survey on Theory and Applications. - Tobias Böhle, Christian Kuehn, Mechthild Thalhammer:
On the reliable and efficient numerical integration of the Kuramoto model and related dynamical systems on graphs. - Zhihan Li, Yuwei Fan, Lexing Ying:
Multi-Level Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data. - Christian Ikenmeyer, Abhiroop Sanyal:
A note on VNP-completeness and border complexity. - Fawwaz Alsubaie:
Max-Min Fair Hybrid Precoding for Multi-group Multicasting in Millimeter-Wave Channel. - Koby Bibas, Meir Feder:
The Predictive Normalized Maximum Likelihood for Over-parameterized Linear Regression with Norm Constraint: Regret and Double Descent. - Rotem Lev Lehman, Guy Shani, Roni Stern:
Partial Disclosure of Private Dependencies in Privacy Preserving Planning. - Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu:
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training. - Syed Aseem Ul Islam, Tam W. Nguyen, Ilya V. Kolmanovsky, Dennis S. Bernstein:
Data-Driven Retrospective Cost Adaptive Control for Flight Control Application. - Mohammad Faiyaz Khan, S. M. Sadiq-Ur-Rahman Shifath, Md. Saiful Islam:
Improved Bengali Image Captioning via deep convolutional neural network based encoder-decoder model. - Vignesh Prasad, Ruth Stock-Homburg, Jan Peters:
Human-Robot Handshaking: A Review. - Ali A. Elrowayati, Mohamed A. Alrshah, Mohammad Faiz Liew Abdullah, Rohaya Latip:
HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities. - Maharazu Mamman, Zurina Mohd Hanapi, Mohamed A. Alrshah:
Energy and Spectral Efficiency Balancing Algorithm for Energy Saving in LTE Downlinks. - Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer, Miguel G. Xavier, Odej Kao, César A. F. De Rose:
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. - Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Christoph Miksovic, Thomas Gschwind, Paolo Scotton:
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention. - Kthim Imeri:
Optimal design of optical analog solvers of linear systems. - Huthiafa Q. Qadori, Zuriati Ahmad Zukarnain, Zurina Mohd Hanapi, Shamala Subramaniam, Mohamed A. Alrshah:
CMIP: Clone Mobile-agent Itinerary Planning Approach for Enhancing Event-to-Sink Throughput in Wireless Sensor Networks. - Mohammed A. Al-Maqri, Mohamed A. Alrshah, Mohamed Othman:
Review on QoS provisioning approaches for supporting video traffic in IEEE802.11e: challenges and issues. - Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel:
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning. - Fan Yao, Renqin Cai, Hongning Wang:
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning. - Cristina Godoy Bernardo de Oliveira, Evandro Eduardo Seron Ruiz:
Why Talking about ethics is not enough: a proposal for Fintech's AI ethics. - Jaewoong Shin, Haebeom Lee, Boqing Gong, Sung Ju Hwang:
Large-Scale Meta-Learning with Continual Trajectory Shifting. - Cosme A. Ochoa, Ella M. Atkins:
Urban Metric Maps for Small Unmanned Aircraft Systems Motion Planning. - Sashank Gondala, Lyan Verwimp, Ernest Pusateri, Manos Tsagkias, Christophe Van Gysel:
Error-driven Pruning of Language Models for Virtual Assistants. - Keren Censor-Hillel, Yannic Maus, Volodymyr Polosukhin:
Near-Optimal Scheduling in the Congested Clique. - Yang Liu, Jeremy Bernstein, Markus Meister, Yisong Yue:
Learning by Turning: Neural Architecture Aware Optimisation. - Evagoras Stylianou, Charalambos D. Charalambous, Themistoklis Charalambous:
Joint Rate Distortion Function of a Tuple of Correlated Multivariate Gaussian Sources with Individual Fidelity Criteria. - Ittai Abraham, Kartik Nayak, Ling Ren, Zhuolun Xiang:
Good-case Latency of Byzantine Broadcast: a Complete Categorization. - Dennis Robey, Wesley Thio, Herbert H. C. Iu, Jason Kamran Eshraghian:
Naturalizing Neuromorphic Vision Event Streams Using GANs. - Felix O. Olowononi, Danda B. Rawat, Chunmei Liu:
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS. - Mher Safaryan, Filip Hanzely, Peter Richtárik:
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization. - Ruijun Chen, Jiong Qiu, Xuejiao Tang:
Responsibility Management through Responsibility Networks. - Aashma Uprety, Danda B. Rawat:
Reinforcement Learning for IoT Security: A Comprehensive Survey. - Charitha Madapatha, Behrooz Makki, Ajmal Muhammad, Erik Dahlman, Mohamed-Slim Alouini, Tommy Svensson:
On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach. - Selen Gecgel, Caner Goztepe, Gunes Karabulut-Kurt, Halim Yanikomeroglu:
Learning-Driven Decision Mechanisms in Physical Layer: Facts, Challenges, and Remedies. - Priyabrata Karmakar, Shyh Wei Teng, Guojun Lu:
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition. - Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand:
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. - David Aristoff, Wolfgang Bangerth:
A benchmark for the Bayesian inversion of coefficients in partial differential equations. - Thomas Kobber Panum, Zi Wang, Pengyu Kan, Earlence Fernandes, Somesh Jha:
Exploring Adversarial Robustness of Deep Metric Learning. - Jaskirat Singh, Liang Zheng:
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. - R. G. Gayathri, Atul Sajjanhar, Yong Xiang, Xingjun Ma:
Multi-class Classification Based Anomaly Detection of Insider Activities. - Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. - Sina Mohammadi, Mariana Belgiu, Alfred Stein:
3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images. - Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee:
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows. - Tarun Mangla, Esther H. Showalter, Vivek Adarsh, Kipp Jones, Morgan Vigil-Hayes, Elizabeth M. Belding, Ellen W. Zegura:
A Tale of Three Datasets: Towards Characterizing Mobile Broadband Access in the United States. - Alasdair Tran, Alexander Patrick Mathews, Cheng Soon Ong, Lexing Xie:
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series. - Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani:
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. - Yue Wu, Dongruo Zhou, Quanquan Gu:
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. - Mingu Kang, Trung Quang Tran, Seung Ju Cho, Daeyoung Kim:
CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification. - Ramya Daddanala, Vekata Mannava, Lo'ai Tawalbeh, Mohammad Al-Ramahi:
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications. - Chuyao Feng, Eva van Leer, Mackenzie Lee Curtis, David V. Anderson:
I-vector Based Within Speaker Voice Quality Identification on connected speech. - Miroslav Dudík, Xintong Wang, David M. Pennock, David M. Rothschild:
Log-time Prediction Markets for Interval Securities. - Esther Ezra, Micha Sharir:
On Ray Shooting for Triangles in 3-Space and Related Problems. - Shoya Ishimaru, Takanori Maruichi, Andreas Dengel, Koichi Kise:
Confidence-Aware Learning Assistant. - Jaehwi Seol, Jeongeun Kim, Hyoung Il Son:
Field Evaluations of A Deep Learning-based Intelligent Spraying Robot with Flow Control for Pear Orchards. - Wei Tao, Sheng Long, Gaowei Wu, Qing Tao:
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. - Masato Tajima:
A Further Note on an Innovations Approach to Viterbi Decoding of Convolutional Codes. - Qi Luo, Samitha Samaranayake, Siddhartha Banerjee:
Multimodal Mobility Systems: Joint Optimization of Transit Network Design and Pricing. - Yiming Xu, Jiaxin Li, Yiheng Peng, Yan Ding, Hua-Liang Wei:
A Global to Local Double Embedding Method for Multi-person Pose Estimation. - Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. - Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama:
Guided Interpolation for Adversarial Training. - Jae-Hong Lee, Joon-Hyuk Chang:
Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs. - Angela Daly, S. Kate Devitt, Monique Mann:
AI Ethics Needs Good Data. - Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen:
OntoZSL: Ontology-enhanced Zero-shot Learning. - He Chen, Hyojoon Park, Kutay Macit, Ladislav Kavan:
Capturing Detailed Deformations of Moving Human Bodies. - (Withdrawn) Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework.
- Kenji Kawaguchi:
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers. - Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. - Laria Reynolds, Kyle McDonell:
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm. - Thao Do, Daeyoung Kim:
QuickBrowser: A Unified Model to Detect and Read Simple Object in Real-time. - Paritosh Parmar, Brendan Morris:
Win-Fail Action Recognition. - Emre Yilmaz, Tianxi Ji, Erman Ayday, Pan Li:
Genomic Data Sharing under Dependent Local Differential Privacy. - Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu:
Weak Adaptation Learning - Addressing Cross-domain Data Insufficiency with Weak Annotator. - Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. - Ehsan Kazemi, Thomas Kerdreux, Liquang Wang:
Generating Structured Adversarial Attacks Using Frank-Wolfe Method. - Varsha Lohani, Anjali Sharma, Yatindra Nath Singh:
Sub-Graph p-cycle formation for span failures in all-Optical Networks. - Hanwen Yao, Arman Fazeli, Alexander Vardy:
A Deterministic Algorithm for Computing the Weight Distribution of Polar Codes. - Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis:
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. - Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri:
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics. - Bidisha Sharma, Maulik C. Madhavi, Haizhou Li:
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification. - Junxuan Huang, Chunming Qiao:
Generation for Adaption: A GAN-Based Approach for 3D Domain Adaption with Point Cloud Data. - Xiang Long:
MatchKAT: An Algebraic Foundation For Match-Action. - Hendrik Ranocha, Manuel Quezada de Luna, David I. Ketcheson:
On the Rate of Error Growth in Time for Numerical Solutions of Nonlinear Dispersive Wave Equations. - Oussama Dhifallah, Yue M. Lu:
On the Inherent Regularization Effects of Noise Injection During Training. - Mana Ihori, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota Orihashi, Ryo Masumura:
MAPGN: MAsked Pointer-Generator Network for sequence-to-sequence pre-training. - Shridhar Velhal, Suresh Sundaram, Narasimhan Sundararajan:
A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense. - Anne-Elisabeth Falq, Pierre Fouilhoux, Safia Kedad-Sidhoum:
Dominance inequalities for scheduling around an unrestrictive common due date. - Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West:
On the Value of Wikipedia as a Gateway to the Web. - Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain:
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization. - Alessandro Fontana:
And/or trade-off in artificial neurons: impact on adversarial robustness. - Liina Repo, Valtteri Skantsi, Samuel Rönnqvist, Saara Hellström, Miika Oinonen, Anna Salmela, Douglas Biber, Jesse Egbert, Sampo Pyysalo, Veronika Laippala:
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers. - Masaki Waga, Étienne André, Ichiro Hasuo:
Model-bounded monitoring of hybrid systems. - Sungyeop Lee, Junghyo Jo:
Compression phase is not necessary for generalization in representation learning. - Dzenan Lapandic, Linnea Persson, Dimos V. Dimarogonas, Bo Wahlberg:
Aperiodic Communication for MPC in Autonomous Cooperative Landing. - Zixiang Chen, Dongruo Zhou, Quanquan Gu:
Almost Optimal Algorithms for Two-player Markov Games with Linear Function Approximation. - Hadi Veisi, Hawre Hosseini, Mohammad MohammadAmini, Wirya Fathy, Aso Mahmudi:
Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon. - Yuheng Zhi, Nikhil Das, Michael C. Yip:
DiffCo: Auto-Differentiable Proxy Collision Detection with Multi-class Labels for Safety-Aware Trajectory Optimization. - Jonas Vogt, Manuel Fünfrocken, Niclas Wolniak, Horst Wieker:
Secure Hybrid ITS Communication with Data Protection. - Giovanni Isotton, Matteo Frigo, Nicolò Spiezia, Carlo Janna:
Chronos: A general purpose classical AMG solver for High Performance Computing. - Anton Kullberg, Isaac Skog, Gustaf Hendeby:
Online Joint State Inference and Learning of Partially Unknown State-Space Models. - Mojtaba Eshghie, Cyrille Artho, Dilian Gurov:
Dynamic Vulnerability Detection on Smart Contracts Using Machine Learning. - Ioanna Lykourentzou, Federica Lucia Vinella, Faez Ahmed, Costas Papastathis, Konstantinos Papangelis, Vassilis-Javed Khan, Judith Masthoff:
Self-Organizing Teams in Online Work Settings. - Manuel Fünfrocken, Matthias Scholtes, Jonas Vogt, Niclas Wolniak:
CONVERGE - Future IRS-Infrastructures as Open Service Networks. - Stephen DiAdamo, Janis Nötzel:
Undoing Causal Effects of a Causal Broadcast Channel with Cooperating Receivers using Entanglement Resources. - Xiao Song, John S. Heidemann:
Measuring the Internet during Covid-19 to Evaluate Work-from-Home. - Erika Hausenblas, Mihály Kovács:
Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise. - Anthony Bellotti:
Approximation to Object Conditional Validity with Conformal Predictors. - Chengyu Dong, Liyuan Liu, Jingbo Shang:
Data Profiling for Adversarial Training: On the Ruin of Problematic Data. - Gordon Fraser, Ute Heuer, Nina Körber, Florian Obermüller, Ewald Wasmeier:
LitterBox: A Linter for Scratch Programs. - Niclas Boehmer, Markus Brill, Ulrike Schmidt-Kraepelin:
Selecting Matchings via Multiwinner Voting: How Structure Defeats a Large Candidate Space. - Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong:
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation. - Nina Körber, Katharina Geldreich, Andreas Stahlbauer, Gordon Fraser:
Finding Anomalies in Scratch Assignments. - Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder:
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving. - Yaonan Jin, Shunhua Jiang, Pinyan Lu, Hengjie Zhang:
Tight Revenue Gaps among Multi-Unit Mechanisms. - Sree Premkumar, Vimal Premkumar, Rakesh Dhakshinamurthy:
Video Analytics on IoT devices. - Marin Vlastelica Pogancic, Michal Rolínek, Georg Martius:
Neuro-algorithmic Policies enable Fast Combinatorial Generalization. - Florian De Vuyst:
Efficient solvers for shallow-water Saint-Venant equations and debris transportation-deposition models. - Abdel-Nasser Sharkawy:
Minimum Jerk Trajectory Generation for Straight and Curved Movements: Mathematical Analysis. - S. Akshay, Supratik Chakraborty:
On synthesizing Skolem functions for first order logic formulae. - Pawel W. Wozniak, Jakob Karolus, Florian Lang, Caroline Eckerth, Johannes Schöning, Yvonne Rogers, Jasmin Niess:
Creepy Technology: What Is It and How Do You Measure It? - Si Lu, Ruisi Li:
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning. - Filippos Christianos, Georgios Papoudakis, Arrasy Rahman, Stefano V. Albrecht:
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing. - Ahmed Mohamed Abdelmoniem, Brahim Bensaou:
T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks. - Pedro Gomes, Silvia Rossi, Laura Toni:
Spatio-temporal Graph-RNN for Point Cloud Prediction. - Frédéric Recoules, Sébastien Bardin, Richard Bonichon, Matthieu Lemerre, Laurent Mounier, Marie-Laure Potet:
Interface Compliance of Inline Assembly: Automatically Check, Patch and Refine. - Baptiste Rozière, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample:
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. - Naichen Shi, Ruichen Li, Sun Youran:
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning. - Jihyeok Park, Seungmin An, Dongjun Youn, Gyeongwon Kim, Sukyoung Ryu:
JEST: N+1-version Differential Testing of Both JavaScript Engines and Specification. - Manos N. Kamarianakis, George Papagiannakis:
An all-in-one geometric algorithm for cutting, tearing, drilling deformable models. - Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini:
On the Impact of Device and Behavioral Heterogeneity in Federated Learning. - Gideon Kowadlo, Abdelrahman Ahmed, David Rawlinson:
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm. - Gerco van Heerdt, Tobias Kappé, Jurriaan Rot, Alexandra Silva:
Learning Pomset Automata. - Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert:
An Overview of Agent-based Traffic Simulators. - Francesco Conte, Fabio D'Agostino, Samuele Grillo, Stefano Massucco, Federico Silvestro:
Small-Signal Stability Analysis of a DC Shipboard Microgrid With Droop-Controlled Batteries and Constant Power Resources. - Sijie Ji, Weiping Sun, Mo Li:
CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback. - Phuong Thanh Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta:
Recommending API Function Calls and Code Snippets to Support Software Development. - Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani:
Plug-and-Play external and internal priors for image restoration. - Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. - Pierre Vial:
Sequence Types and Infinitary Semantics. - Samandar S. Babaev, Abdullo Rakhmonovich Hayotov, U. N. Khayriev:
On an optimal quadrature formula for approximation of Fourier integrals in the space W2(1, 0). - Dirk van der Hoeven, Hédi Hadiji, Tim van Erven:
Distributed Online Learning for Joint Regret with Communication Constraints. - Maik Gentsch, Rudibert King:
A Low-Order Dynamic Model of Counterflow Heat Exchangers for the Purpose of Monitoring Transient and Steady-State Operating Phases. - Nicolas Anastassacos, Julian García, Stephen Hailes, Mirco Musolesi:
Cooperation and Reputation Dynamics with Reinforcement Learning. - Mohammad Mahdi Mahvari, Mari Kobayashi, Abdellatif Zaidi:
Scalable Vector Gaussian Information Bottleneck. - Mike Kosek, Tanya Shreedhar, Vaibhav Bajpai:
Beyond QUIC v1 - A First Look at Recent Transport Layer IETF Standardization Efforts. - Anisur Rahaman Molla, Kaushik Mondal, William K. Moses Jr.:
Byzantine Dispersion on Graphs. - Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li:
Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making. - Antoine Mottet, Tomás Nagy, Michael Pinsker, Michal Wrona:
Smooth Approximations and Relational Width Collapses. - Martin Redmann, Igor Pontes Duff:
Full state approximation by Galerkin projection reduced order models for stochastic and bilinear systems. - Margarita Leib, Nils C. Köbis, Rainer Michael Rilke, Marloes Hagens, Bernd Irlenbusch:
The corruptive force of AI-generated advice. - Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos:
CHARET: Character-centered Approach to Emotion Tracking in Stories. - Sisay Chala, Bekele Debisa, Amante Diriba, Silas Getachew, Chala Getu, Solomon Shiferaw:
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform. - Albert No, Taeho Yoon, Sehyun Kwon, Ernest K. Ryu:
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points. - Filip de Roos, Alexandra Gessner, Philipp Hennig:
High-Dimensional Gaussian Process Inference with Derivatives. - Quanling Deng, Victor M. Calo:
Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures. - Keisuke Fujii:
Data-driven Analysis for Understanding Team Sports Behaviors. - Jichen Zhu, Santiago Ontañón:
Player-Centered AI for Automatic Game Personalization: Open Problems. - Abdullo Rakhmonovich Hayotov, S. S. Babaev:
Optimal quadrature formulas for computing of Fourier integrals in a Hilbert space. - Marco Zank:
Higher-Order Space-Time Continuous Galerkin Methods for the Wave Equation. - Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
STruD: Truss Decomposition of Simplicial Complexes. - Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain:
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. - Alberto Martín-Martín, Emilio Delgado López-Cózar:
Large coverage fluctuations in Google Scholar: a case study. - Cong T. Nguyen, Nguyen Van Huynh, Nam Hoai Chu, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Dusit Niyato, Eryk Dutkiewicz, Won-Joo Hwang:
Transfer Learning for Future Wireless Networks: A Comprehensive Survey. - Giuliano Lorenzoni, Paulo Alencar, Nathalia Moraes do Nascimento, Donald D. Cowan:
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review. - Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi:
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. - Hong-lin Liao, Xiaohan Zhu, Jindi Wang:
The variable-step L1 scheme preserving a compatible energy law for time-fractional Allen-Cahn equation. - Florian Adriaens, Simon Apers:
Testing properties of signed graphs. - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan, Carlos Lucena:
A Reference Model for IoT Embodied Agents Controlled by Neural Networks. - Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen, Shuai Zhang:
Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT. - Kévin Riou, Suiyi Ling, Guillaume Gallot, Patrick Le Callet:
Seeing by haptic glance: reinforcement learning-based 3D object Recognition. - Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Mark Stevenson:
UserReg: A Simple but Strong Model for Rating Prediction. - Filippo Portera:
A generalized quadratic loss for SVM and Deep Neural Networks. - Gareth Jones, Jim Parr, Perumal Nithiarasu, Sanjay Pant:
A proof of concept study for machine learning application to stenosis detection. - Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Dean C. Barratt, Yipeng Hu:
Learning image quality assessment by reinforcing task amenable data selection. - Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janusz Kacprzyk, Mengchu Zhou, Michael H. Smith, Philip Chen, Shushma Patel:
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS). - Zhiqiang Wang, Qingyun She, Junlin Zhang:
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask. - Luana Müller, Camila Moser, Guilherme Paris, Lucas Freitas, Mayara J. Oliveira, Wagner Signoretti, Isabel Harb Manssour, Milene Selbach Silveira:
Hit by the Data: a visual data analysis regarding the effects of traffic public policies. - Stefan S. Dantchev, Nicola Galesi, Abdul Ghani, Barnaby Martin:
Depth lower bounds in Stabbing Planes for combinatorial principles. - Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou:
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. - Matteo Tomei, Lorenzo Baraldi, Simone Calderara, Simone Bronzin, Rita Cucchiara:
RMS-Net: Regression and Masking for Soccer Event Spotting. - Javier E. Santos, Ying Yin, Honggeun Jo, Wen Pan, Qinjun Kang, Hari S. Viswanathan, Masa Prodanovic, Michael J. Pyrcz, Nicholas Lubbers:
Multi-Scale Neural Networks for to Fluid Flow in 3D Porous Media. - Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. - Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro:
Accelerating COVID-19 research with graph mining and transformer-based learning. - A. Samson Mogos, Samuele Grillo:
Impact of EV Charging Stations in Power Grids in Italy and its Mitigation Mechanisms. - Rohan Sukumaran:
Improved Customer Transaction Classification using Semi-Supervised Knowledge Distillation. - Floris van Doorn:
Formalized Haar Measure. - Mingyong Zhou:
AI Uncertainty Based on Rademacher Complexity and Shannon Entropy. - Yutong Jin, Jie Li, Xinyu Wang, Peiyao Li, Jinjiang Guo, Junfeng Wu, Dawei Leng, Lurong Pan:
Real-time tracking of COVID-19 and coronavirus research updates through text mining. - Mathias Uta, Alexander Felfernig, Gottfried Schenner, Johannes Spöcklberger:
Consistency-based Merging of Variability Models. - Hoyeop Lee, Jinbae Im, Chang Ouk Kim, Sehee Chung:
Freudian and Newtonian Recurrent Cell for Sequential Recommendation. - Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Uncertainty quantification and exploration-exploitation trade-off in humans. - Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, Bohyung Han:
Learning Student-Friendly Teacher Networks for Knowledge Distillation. - Yuanpeng He:
TDQMF: Two-dimensional quantum mass function. - Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira, Christos Sardianos, George Dimitrakopoulos, Iraklis Varlamis:
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. - Ilan Price, Jared Tanner:
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset. - MohammadMahdi Behzadi, Horea T. Ilies:
Real-Time Topology Optimization in 3D via Deep Transfer Learning. - Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor:
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. - Nathan Pinnow, Tarek Ramadan, Tanzima Z. Islam, Chase Phelps, Jayaraman J. Thiagarajan:
Comparative Code Structure Analysis using Deep Learning for Performance Prediction. - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. - Nicolò Campolongo, Francesco Orabona:
A closer look at temporal variability in dynamic online learning. - Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski, Mérouane Debbah:
Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing. - Bryan Bischof, Eric Bunch:
Geometric feature performance under downsampling for EEG classification tasks. - Tom Cornebize, Arnaud Legrand:
Simulation-based Optimization and Sensibility Analysis of MPI Applications: Variability Matters. - Max Horn, Kumar Shridhar, Elrich Groenewald, Philipp F. M. Baumann:
Translational Equivariance in Kernelizable Attention. - Philip Lazos, Francisco J. Marmolejo Cossío, Xinyu Zhou, Jonathan Katz:
RPPLNS: Pay-per-last-N-shares with a Randomised Twist. - Aysun Kocak, Erkut Erdem, Aykut Erdem:
A Gated Fusion Network for Dynamic Saliency Prediction. - (Withdrawn) Fair and Optimal Cohort Selection for Linear Utilities.
- Dylan R. Ashley, Sina Ghiassian, Richard S. Sutton:
Does Standard Backpropagation Forget Less Catastrophically Than Adam? - Luciana Oliveira, Arminda Sequeira, Adriana Oliveira, Paulino Silva, Anabela Mesquita:
Exploring the Public Reaction to COVID-19 News on Social Media in Portugal. - Xiangguo Liu, Baiting Luo, Ahmed Abdo, Nael B. Abu-Ghazaleh, Qi Zhu:
Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework. - Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand:
Optimal Priority Assignment for Real-Time Systems: A Coevolution-Based Approach. - Zachary Izzo, Lexing Ying, James Zou:
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. - Vamsi K. Amalladinne, Allen Hao, Stefano Rini, Jean-François Chamberland:
Multi-Class Unsourced Random Access via Coded Demixing. - Steve Kench, Samuel J. Cooper:
Generating 3D structures from a 2D slice with GAN-based dimensionality expansion. - Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti:
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. - Eric D. Langlois, Tom Everitt:
How RL Agents Behave When Their Actions Are Modified. - Ramin Mousa, Sara Nazari, Ali Karhe Abadi, Reza Shoukhcheshm, Mohammad Niknam Pirzadeh, Leila Safari:
TI-Capsule: Capsule Network for Stock Exchange Prediction. - Antoine Amarilli, Charles Paperman:
Locality and Centrality: The Variety ZG. - Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi:
Neural Network Compression for Noisy Storage Devices. - Peter Bürgisser, M. Levent Dogan, Visu Makam, Michael Walter, Avi Wigderson:
Polynomial time algorithms in invariant theory for torus actions. - Antoine Amarilli, Louis Jachiet, Charles Paperman:
Dynamic Membership for Regular Languages. - Aniruddh Gopinath Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis:
Learning from Demonstrations using Signal Temporal Logic. - Tobias Guggenberger, Johannes Sedlmeir, Gilbert Fridgen, André Luckow:
An In-Depth Investigation of Performance Characteristics of Hyperledger Fabric. - Thomas Köppel, M. Eduard Gröller, Hsiang-Yun Wu:
Context-Responsive Labeling in Augmented Reality. - Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. - Emili Besalú:
The Dependent Chip Model (DCM): a simple and more realistic alternative to the Independent Chip Model (ICM). - Aditya Gourav, Linda Liu, Ankur Gandhe, Yile Gu, Guitang Lan, Xiangyang Huang, Shashank Kalmane, Gautam Tiwari, Denis Filimonov, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko:
Personalization Strategies for End-to-End Speech Recognition Systems. - Amartya Shankha Biswas, Edward Pyne, Ronitt Rubinfeld:
Local Access to Random Walks. - Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang:
A Data Quality-Driven View of MLOps. - Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He:
Deep Co-Attention Network for Multi-View Subspace Learning. - Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé:
Learning Intra-Batch Connections for Deep Metric Learning. - Ahmed Arafa, Richard D. Wesel:
Timely Transmissions Using Optimized Variable Length Coding. - Avital Shafran, Shmuel Peleg, Yedid Hoshen:
Reconstruction-Based Membership Inference Attacks are Easier on Difficult Problems. - Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison:
End-to-End Egospheric Spatial Memory. - Wei-Yin Loh, Peigen Zhou:
Variable importance scores. - Thi Kim Thoa Thieu, Roderick V. N. Melnik:
Reflecting stochastic dynamics of active-passive crowds in a queueing theory model. - Mohammad Taha Toghani, Cesar A. Uribe:
Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs. - Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon:
Posterior-Aided Regularization for Likelihood-Free Inference. - Quinten Tupker, Salem Said, Cyrus Mostajeran:
Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces. - Jeremias Arf, Bernd Simeon:
A space-time isogeometric method for the partial differential-algebraic system of Biot's poroelasticity model. - Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. - Adam Kalai, Varun Kanade:
Efficient Learning with Arbitrary Covariate Shift. - Pengxia Wu, Hui Ma, Julian Cheng:
Sparse Channel Reconstruction With Nonconvex Regularizer via DC Programming for Massive MIMO Systems. - Thiago Serra, Xin Yu, Abhinav Kumar, Srikumar Ramalingam:
Scaling Up Exact Neural Network Compression by ReLU Stability. - Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring. - Sampath Kannan, Mingzi Niu, Aaron Roth, Rakesh Vohra:
Best vs. All: Equity and Accuracy of Standardized Test Score Reporting. - Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. - Oliver Speidel, Jona Ruof, Klaus Dietmayer:
Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics. - Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho:
Online hyperparameter optimization by real-time recurrent learning. - Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum:
What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research. - Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni:
Certified Robustness to Programmable Transformations in LSTMs. - Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott:
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components. - Eduardo C. Nunes:
Anomalous Sound Detection with Machine Learning: A Systematic Review. - Ilan Naiman, Omri Azencot:
A Koopman Approach to Understanding Sequence Neural Models. - Martin Stettinger, Trang Tran, Ingo Pribik, Gerhard Leitner, Alexander Felfernig, Ralph Samer, Muesluem Atas, Manfred Wundara:
KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting. - Michael Wharton, Anne M. Pavy, Philip Schniter:
Phase-Modulated Radar Waveform Classification Using Deep Networks. - Sayyad Nojavan, Vafa Ajoulabadi, Tohid Khalili, Ali Bidram:
Optimal Power Flow Considering Time of Use and Real-Time Pricing Demand Response Programs. - Przemyslaw Pobrotyn, Radoslaw Bialobrzeski:
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of Sorting. - Sou-Cheng T. Choi, Fred J. Hickernell, R. Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin:
Quasi-Monte Carlo Software. - Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau:
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. - Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt:
Topological Graph Neural Networks. - Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis:
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings. - Ishwar Venugopal:
Quartile-based Prediction of Event Types and Event Time in Business Processes using Deep Learning. - Ioannis Caragiannis, Panagiotis Kanellopoulos, Maria Kyropoulou:
On Interim Envy-Free Allocation Lotteries. - Samir Passi, Phoebe Sengers:
"From What I see, this makes sense": Seeing meaning in algorithmic results. - Eduard Gorbunov, Konstantin Burlachenko, Zhize Li, Peter Richtárik:
MARINA: Faster Non-Convex Distributed Learning with Compression. - Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-translation. - Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan, Mohsen Jafarzadeh, Chunchun Li, Terrance E. Boult:
Self-Supervised Features Improve Open-World Learning. - Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis:
Identifying Misinformation from Website Screenshots. - Tejaswi K. C., Chang-kwon Kang, Taeyoung Lee:
Dynamics and Control of a Flapping Wing UAV with Abdomen Undulation Inspired by Monarch Butterfly. - Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. - Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection. - M. R. Formica, E. Ostrovsky, L. Sirota:
Method Monte-Carlo for solving of non-linear integral equations. - Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi:
Low Curvature Activations Reduce Overfitting in Adversarial Training. - Aalok Shanbhag, Avijit Ghosh, Josh Rubin:
Unified Shapley Framework to Explain Prediction Drift. - Conor Kelton, Matteo Varvello, Andrius Aucinas, Benjamin Livshits:
Browselite: A Private Data Saving Solution for the Web. - Naci Saldi:
Large Deviations Principle for Discrete-time Mean-field Games. - Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya:
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning. - Octavian Suciu, Connor Nelson, Zhuoer Lyu, Tiffany Bao, Tudor Dumitras:
Expected Exploitability: Predicting the Development of Functional Vulnerability Exploits. - Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré:
Momentum Residual Neural Networks. - Eduard Feireisl, Mária Lukácová-Medvid'ová, Simon Schneider, Bangwei She:
Approximating viscosity solutions of the Euler system. - Zijian Jiang, Hao Zhong, Na Meng:
Investigating and Recommending Co-Changed Entities for JavaScript Programs. - Caleb Belth, Alican Büyükçakir, Danai Koutra:
A Hidden Challenge of Link Prediction: Which Pairs to Check? - Anjali Balagopal, Howard E. Morgan, Michael Dohopolski, Ramsey Timmerman, Jie Shan, Daniel F. Heitjan, Wei Liu, Dan Nguyen, Raquibul Hannan, Aurelie Garant, Neil Desai, Steve B. Jiang:
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume. - Johannes Sedlmeir, Hans Ulrich Buhl, Gilbert Fridgen, Robert Keller:
Recent Developments in Blockchain Technology and their Impact on Energy Consumption. - Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris:
VA-RED2: Video Adaptive Redundancy Reduction. - Alessandro Cheli:
Metatheory.jl: Fast and Elegant Algebraic Computation in Julia with Extensible Equality Saturation. - Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto:
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. - Amirehsan Ghasemi, Kelvin J. Msechu, Arash Ghasemi, Mbakisya A. Onyango, Ignatius Fomunung, Joseph Owino:
Improving the Accuracy Of MEPDG Climate Modeling Using Radial Basis Function. - Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara:
Engineering Education in the Age of Autonomous Machines. - Weiyu Luo, Brian Demsky:
C11Tester: A Race Detector for C/C++ Atomics Technical Report. - Derya Dogan Durgun, Emre Niyazi Toprakkaya:
Roman Domination of the Comet, Double Comet, and Comb Graphs. - Thomas Cochrane, Peter Foster, Varun Chhabra, Maud Lemercier, Cristopher Salvi, Terry J. Lyons:
SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel. - Zuohui Chen, Qing Yuan, Xujie Song, Cheng Chen, Dan Zhang, Yun Xiang, Ruigang Liu, Qi Xuan:
MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN. - Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. - Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa:
Information Ranking Using Optimum-Path Forest. - Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin:
User-Inspired Posterior Network for Recommendation Reason Generation. - Kei Ota, Devesh K. Jha, Asako Kanezaki:
Training Larger Networks for Deep Reinforcement Learning. - Seyed Amir Tafrishi, Mikhail M. Svinin, Motoji Yamamoto:
Darboux-Frame-Based Parametrization for a Spin-Rolling Sphere on a Plane: A Nonlinear Transformation of Underactuated System to Fully-Actuated Model. - Iaroslav Postovalov:
Compilation of mathematical expressions in Kotlin. - Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou:
Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd. - Ziyang Luo:
Have Attention Heads in BERT Learned Constituency Grammar? - Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui:
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. - Bingshan Hu, Zhiming Huang, Nishant A. Mehta:
Optimal Algorithms for Private Online Learning in a Stochastic Environment. - Xiaowen Shen, Qi Wang:
Thermodynamically Consistent Algorithms for Models of Diblock Copolymer Solutions Interacting with Electric and Magnetic Fields. - Ittai Abraham, Kartik Nayak, Ling Ren, Zhuolun Xiang:
Brief Note: Fast Authenticated Byzantine Consensus. - Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu:
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. - Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi:
Hierarchical Transformer-based Large-Context End-to-end ASR with Large-Context Knowledge Distillation. - Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee:
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning. - Gregory Dexter, Kevin Bello, Jean Honorio:
Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees. - Emmanuel Sin, Sreeja Nag, Vinay Ravindra, Alan S. Li, Murat Arcak:
Attitude Trajectory Optimization for Agile Satellites in Autonomous Remote Sensing Constellation. - Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu:
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view. - Kimon Fountoulakis, Pan Li, Shenghao Yang:
Local Hyper-flow Diffusion. - Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao:
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks. - Nan Wu, Yuan Xie:
A Survey of Machine Learning for Computer Architecture and Systems. - Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernet with Alpha-Divergence. - Hailong Liu, Takatsugu Hirayama, Masaya Watanabe:
Importance of Instruction for Pedestrian-Automated Driving Car Interaction with an External Human Machine Interface. - Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. - Maryam Majidi, Rahil Mahdian Toroghi:
Music Harmony Generation, through Deep Learning and Using a Multi-Objective Evolutionary Algorithm. - Aaron Barrett, Aaron L. Fogelson, Boyce E. Griffith:
A Hybrid Semi-Lagrangian Cut Cell Method for Advection-Diffusion Problems with Robin Boundary Conditions in Moving Domains. - Lequan Chen, Wei Xie, Zhigang Tu, Yaping Tao, Xinming Wang:
Multi-Attribute Enhancement Network for Person Search. - Yuantian Miao, Chao Chen, Lei Pan, Qing-Long Han, Jun Zhang, Yang Xiang:
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey. - Justin Fu, Sergey Levine:
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation. - Junshan Zhang, Na Li, Mehmet Dedeoglu:
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. - Çaglar Aytekin, Sakari Alenius, Dmytro Paliy, Juuso Gren:
A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality. - Jakub Bielawski, Thiparat Chotibut, Fryderyk Falniowski, Grzegorz Kosiorowski, Michal Misiurewicz, Georgios Piliouras:
Follow-the-Regularized-Leader Routes to Chaos in Routing Games. - Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra, Jayadeva:
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. - Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. - Ning Li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang:
A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection. - Muhammad Irfan Yousuf, Izza Anwer, Raheel Anwar:
Empirical Characterization of Graph Sampling Algorithms. - Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Mingliang Xu, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. - Fuling Chen, Roberto Togneri, Murray Maybery, Diana Tan:
Voice Gender Scoring and Independent Acoustic Characterization of Perceived Masculinity and Femininity. - Terra Blevins, Mandar Joshi, Luke Zettlemoyer:
FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary. - Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. - Jianing Zhang, Wei Li, Honggang Gou, Lu Fang, Ruigang Yang:
LEAD: LiDAR Extender for Autonomous Driving. - Guy Mogilevsky, David Burshtein:
Belief Propagation List Ordered Statistics Decoding of Polar Codes. - Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su:
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. - Rui Li, Shunyi Zheng, Chenxi Duan:
Feature Pyramid Network with Multi-Head Attention for Semantic Segmentation of Fine-Resolution Remotely Sensed Images. - Nobutaka Shimizu, Takeharu Shiraga:
Metropolis Walks on Dynamic Graphs. - Taylan K. Sen, Kurtis Haut, Denis Lomakin, Ehsan Hoque:
A Mental Trespass? Unveiling Truth, Exposing Thoughts and Threatening Civil Liberties with Non-Invasive AI Lie Detection. - Yundong Zhang, Huiye Liu, Qiang Hu:
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation. - Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada:
EfficientLPS: Efficient LiDAR Panoptic Segmentation. - Jason Liang, Keith Kelly:
Training Stacked Denoising Autoencoders for Representation Learning. - Yunyi Xie, Jie Jin, Jian Zhang, Shanqing Yu, Qi Xuan:
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking. - Daisuke Takehara, Kei Kobayashi:
Enhancing Hierarchical Information by Using Metric Cones for Graph Embedding. - Yi Lin, Qin Li, Bo Yang, Zhen Yan, Huachun Tan, Zhengmao Chen:
Improving speech recognition models with small samples for air traffic control systems. - Kevin Bello, Chuyang Ke, Jean Honorio:
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. - Ekaterina Redekop, Alexey Chernyavskiy:
Uncertainty-based method for improving poorly labeled segmentation datasets. - Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff:
Joint self-supervised blind denoising and noise estimation. - Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas M. Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG biometrics aided by Deep learning for reliable Individual auTHentication. - Rukshan Darshana Wijesinghe, Kasun Vithanage, Dumindu Tissera, Alex Xavier, Subha Fernando, Jayathu Samarawickrama:
Transferring Domain Knowledge with an Adviser in Continuous Tasks. - Raid R. Al-Nima, Fawaz S. Abdullah, Ali N. Hamoodi:
Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic. - M. Onat Topal, Anil Bas, Imke van Heerden:
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet. - Junzheng Wu, Biao Li, Yao Qin, Weiping Ni, Han Zhang, Yuli Sun:
A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images. - Kurtis Haut, Caleb Wohn, Victor Antony, Aidan Goldfarb, Melissa Welsh, Dillanie Sumanthiran, Ji-ze Jang, Md. Rafayet Ali, Ehsan Hoque:
Could you become more credible by being White? Assessing Impact of Race on Credibility with Deepfakes. - Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning. - Jinbao Zhu, Qifa Yan, Xiaohu Tang, Ying Miao:
Capacity-Achieving Private Information Retrieval Schemes from Uncoded Storage Constrained Servers with Low Sub-packetization. - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries. - Jinsheng Wei, Guanming Lu, Jingjie Yan:
A comparative study on movement feature in different directions for micro-expression recognition. - Yuhang Zhang, Yao Mu, Yujie Yang, Yang Guan, Shengbo Eben Li, Qi Sun, Jianyu Chen:
Steadily Learn to Drive with Virtual Memory. - Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining. - Saeed Akhoondian Amiri:
Deterministic CONGEST Algorithm for MDS on Bounded Arboricity Graphs. - Eun Hye Lee, Jeong Mu Kim, Ji Su Kim, Tae Hyun Kim:
Restore from Restored: Single-image Inpainting. - Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation. - Felix Sygulla, Daniel Rixen:
Learning the Noise of Failure: Intelligent System Tests for Robots. - Guanli Liu, Lars Kulik, Xingjun Ma, Jianzhong Qi:
A Lazy Approach for Efficient Index Learning. - Subham Nagar, Ahlad Kumar, M. N. S. Swamy:
Orthogonal Features-based EEG Signal Denoising using Fractionally Compressed AutoEncoder. - Fouzia Altaf, Syed M. S. Islam, Naeem Khalid Janjua, Naveed Akhtar:
Boosting Deep Transfer Learning for COVID-19 Classification. - Vasco Lopes, António Gaspar, Luís A. Alexandre, João Cordeiro:
An AutoML-based Approach to Multimodal Image Sentiment Analysis. - Oier Mees, Wolfram Burgard:
Composing Pick-and-Place Tasks By Grounding Language. - Andras G. Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger:
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. - Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein:
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. - Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre:
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. - Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci:
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks. - Yuzhe Qin, Cheng Wang, Zhengru Zhang:
A positivity-preserving and convergent numerical scheme for the binary fluid-surfactant system. - Samson Abramsky, Luca Reggio:
Arboreal Categories: An Axiomatic Theory of Resources. - Francesco Concetti, Michael Chertkov:
Message Passing Descent for Efficient Machine Learning. - Hardik Kothari, Rolf Krause:
Multigrid and saddle-point preconditioners for unfitted finite element modelling of inclusions. - Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Florian Reinfrank, Michael Jeran, Gerald Ninaus:
Recommender Systems for Configuration Knowledge Engineering. - Carsten Carstensen, Neela Nataraj:
A priori and a posteriori error analysis of the Crouzeix-Raviart and Morley FEM with original and modified righthand sides. - Jie Zhang, Jinru Ding, Suyuan Liu, Hongyan Wu:
Meta-Path-Free Representation Learning on Heterogeneous Networks. - Jie Zhang, Pengfei Zhou, Hongyan Wu:
Dynamic Virtual Graph Significance Networks for Predicting Influenza. - Itay Hubara, Brian Chmiel, Moshe Island, Ron Banner, Seffi Naor, Daniel Soudry:
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N: M Transposable Masks. - Carsten Carstensen, Neela Nataraj:
Lower-order equivalent nonstandard finite element methods for biharmonic plates. - Chris Norval, Jennifer Cobbe, Jatinder Singh:
Towards an accountable Internet of Things: A call for 'reviewability'. - Jie Zhang, Kazumitsu Nawata, Hongyan Wu:
Spatio-Temporal Multi-step Prediction of Influenza Outbreaks. - Nan Wu, Yuan Xie, Cong Hao:
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning. - Andrei Chertkov, Ivan V. Oseledets:
Solution of the Fokker-Planck equation by cross approximation method in the tensor train format. - Florian Tschopp, Cornelius von Einem, Andrei Cramariuc, David Hug, Andrew William Palmer, Roland Siegwart, Margarita Chli, Juan I. Nieto:
Hough2Map - Iterative Event-based Hough Transform for High-Speed Railway Mapping. - Manfred Schmidt-Schauß, Temur Kutsia, Jordi Levy, Mateu Villaret, Yunus D. K. Kutz:
Nominal Unification and Matching of Higher Order Expressions with Recursive Let. - Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi:
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents. - Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z. Chen, Jian Wu:
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels. - Anna V. Korolkova, Dmitry S. Kulyabov, Michal Hnatic:
Practical application of the multi-model approach in the study of complex systems. - Ryo Masumura, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Takanori Ashihara:
End-to-End Automatic Speech Recognition with Deep Mutual Learning. - Benedikt Hosp, Myat Su Yin, Peter Haddawy, Paphon Sa-Ngasoongsong, Enkelejda Kasneci:
Differentiating Surgeon Expertise Solely by Eye Movement Features. - Erixhen Sula, Michael Gastpar:
Lower bound on Wyner's Common Information. - Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. - Kirill Solovev, Nicolas Pröllochs:
Integrating Floor Plans into Hedonic Models for Rent Price Appraisal. - Mike B. Giles, Oliver Sheridan-Methven:
Analysis of nested multilevel Monte Carlo using approximate Normal random variables. - Rachid Guerraoui, Nirupam Gupta, Rafaël Pinot, Sébastien Rouault, John Stephan:
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? - Jian Jin, Xingxing Zhang, Xin Fu, Huan Zhang, Weisi Lin, Jian Lou, Yao Zhao:
Does deep machine vision have just noticeable difference (JND)? - Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, Yang Liu:
ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications. - Giorgos Stamatelatos, Pavlos S. Efraimidis:
About Weighted Random Sampling in Preferential Attachment Models. - Ashesh, Buo-Fu Chen, Treng-Shi Huang, Boyo Chen, Chia-Tung Chang, Hsuan-Tien Lin:
Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination. - Antti Knutas, Timo Hynninen, Maija Hujala:
To get good student ratings should you only teach programming courses? Investigation and implications of student evaluations of teaching in a software engineering context. - Todd Robinson:
Value of Information for Argumentation based Intelligence Analysis. - Christoph Damerius, Dominik Kaaser, Peter Kling, Florian Schneider:
On Greedily Packing Anchored Rectangles. - Léo Cances, Etienne Labbé, Thomas Pellegrini:
Improving Deep-learning-based Semi-supervised Audio Tagging with Mixup. - Assaf Ben-Yishai, Or Ordentlich:
Constructing Multiclass Classifiers using Binary Classifiers Under Log-Loss. - Fathima Begum M, Subhashini Narayan:
A Scoping Review on Use Cases of Blockchain in Healthcare Systems. - Tai Cheng Yang:
Four Generations of Control Theory Development ? - Federico Chiariotti:
A Survey on 360-Degree Video: Coding, Quality of Experience and Streaming. - Jakob Greis, Artem Yushchenko, Daniel Vogel, Michael Meier, Volker Steinhage:
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning. - Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Improper Learning with Gradient-based Policy Optimization. - Enrique Ramé, Steven J. Weinstein, Nathaniel S. Barlow:
Free surface shapes in rigid body rotation: Exact solutions, asymptotics and approximants. - Philipp Hieronymi, Dun Ma, Reed Oei, Luke Schaeffer, Christian Schulz, Jeffrey O. Shallit:
Decidability for Sturmian words. - Laura Kriener, Julian Göltz, Mihai A. Petrovici:
The Yin-Yang dataset. - Stella Civelli, Enrico Forestieri, Alexey Lotsmanov, Dmitry Razdoburdin, Marco Secondini:
Coupled-Channel Enhanced SSFM for Digital Backpropagation in WDM Systems. - Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner:
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates. - Yixuan Su, Deng Cai, Yan Wang, David Vandyke, Simon Baker, Piji Li, Nigel Collier:
Non-Autoregressive Text Generation with Pre-trained Language Models. - Brock Klippenstein, Richard Mikaël Slevinsky:
Fast associated classical orthogonal polynomial transforms. - James Cheney, Adriane Chapman, Joy Davidson, Alistair Forbes:
Data provenance, curation and quality in metrology. - Moritz Buchem, Linda Kleist, Daniel Schmidt genannt Waldschmidt:
Scheduling with Contact Restrictions - A Problem Arising in Pandemics. - Shoma Matsui, Kai Cai:
Usability Aware Secret Protection with Minimum Cost. - Fannie Liu, Chunjong Park, Yu Jiang Tham, Tsung-Yu Tsai, Laura Dabbish, Geoff Kaufman, Andrés Monroy-Hernández:
Significant Otter: Understanding the Role of Biosignals in Communication. - Sergio Blanes, Arieh Iserles, Shev MacNamara:
Positivity-preserving methods for population models. - Marius Zimand:
Online matching in lossless expanders. - Jennifer Gillenwater, Matthew Joseph, Alex Kulesza:
Differentially Private Quantiles. - Surayez Rahman, Chang Wei Tan:
Classification of multivariate weakly-labelled time-series with attention. - (Withdrawn) Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays.
- Jakob D. Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe:
Hierarchical VAEs Know What They Don't Know. - Andry Alamsyah, Wachda Yuniar Rochmah, Arina Nahya Nurnafia:
Deciphering Social Opinion Polarization Towards Political Event Based on Content and Structural Analysis. - Charles Pillet, Valerio Bioglio, Ingmar Land:
Polar Codes for Automorphism Ensemble Decoding. - Tao Feng, Sirui Song, Tong Xia, Yong Li:
Reinforced Contact Tracing and Epidemic Intervention. - Bo Zhao, Hakan Bilen:
Dataset Condensation with Differentiable Siamese Augmentation. - Jingkai Chen, Brian Charles Williams, Chuchu Fan:
Optimal Mixed Discrete-Continuous Planning for Linear Hybrid Systems. - Amirhosein Bodaghi:
User Characteristics of Olympic Gold Medallists on Instagram: A Quantitative Analysis of Rio2016. - Mohammad Karim, Mahin Ramezani, Tenaya Sunbury, Robert Ohsfeldt, Hye-Chung Kum:
VIEW: a framework for organization level interactive record linkage to support reproducible data science. - Arash Dehghan-Kooshkghazi, Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
Evaluating Node Embeddings of Complex Networks. - Todd Schmid, Tobias Kappé, Dexter Kozen, Alexandra Silva:
Guarded Kleene Algebra with Tests: Coequations, Coinduction, and Completeness. - Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu:
A Federated Data-Driven Evolutionary Algorithm. - Qi Wang, Herke van Hoof:
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models. - Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Robust multi-rate predictive control using multi-step prediction models learned from data. - Burak Hasircioglu, Jesús Gómez-Vilardebó, Deniz Gündüz:
Speeding Up Private Distributed Matrix Multiplication via Bivariate Polynomial Codes. - Vidyadhara B. V, Lima Agnel Tony, Mohitvishnu S. Gadde, Shuvrangshu Jana, Varun V. P., Aashay Anil Bhise, Suresh Sundaram, Debasish Ghose:
Design Iterations for Passive Aerial Manipulator. - Niall Creech, Natalia Criado Pacheco, Simon Miles:
Dynamic neighbourhood optimisation for task allocation using multi-agent. - Ece Naz Erdemir, Pier Luigi Dragotti, Deniz Gündüz:
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary. - Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. - Niall Creech, Natalia Criado Pacheco, Simon Miles:
Resource allocation in dynamic multiagent systems. - Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin:
Instance Localization for Self-supervised Detection Pretraining. - Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. - Ebadollah Taheri, Ryan Gary Kim, Mahdi Nikdast:
AdEle: An Adaptive Congestion-and-Energy-Aware Elevator Selection for Partially Connected 3D NoCs. - Idit Keidar, Eleftherios Kokoris-Kogias, Oded Naor, Alexander Spiegelman:
All You Need is DAG. - Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Alberto Marchetti-Spaccamela, Rebecca Reiffenhäuser:
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity. - Berivan Isik, Albert No, Tsachy Weissman:
Successive Pruning for Model Compression via Rate Distortion Theory. - Zhonggang Zeng:
Geometric modeling and regularization of algebraic problems. - Wojciech Czerwinski, Antoine Mottet, Karin Quaas:
New Techniques for Universality in Unambiguous Register Automata. - Nguyen Phong Hoang, Arian Akhavan Niaki, Phillipa Gill, Michalis Polychronakis:
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting. - Kangpei Meng, Qingming Li:
A homogenized damping model for the propagation of elastic wave in a porous solid. - Ricardo G. Sanfelice, Laurent Praly:
Convergence of Nonlinear Observers on R^n with a Riemannian Metric (Part III). - Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner:
Faster Kernel Matrix Algebra via Density Estimation. - Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong:
On the sampling Lovász Local Lemma for atomic constraint satisfaction problems. - Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh:
Learning Invariant Representations using Inverse Contrastive Loss. - Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard H. Hovy, Alan W. Black:
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering. - Shalev Ben-David, Mika Göös, Siddhartha Jain, Robin Kothari:
Unambiguous DNFs from Hex. - Feodor F. Dragan, Guillaume Ducoffe, Heather M. Guarnera:
Fast deterministic algorithms for computing all eccentricities in (hyperbolic) Helly graphs. - Mustafa Hajij, Kyle Istvan:
Topological Deep Learning: Classification Neural Networks. - Muhammad Umer, Robi Polikar:
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. - Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu:
Revisiting Language Encoding in Learning Multilingual Representations. - Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner:
Efficient Competitions and Online Learning with Strategic Forecasters. - Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Alice Baird, Lyn Jones, Björn W. Schuller:
End-2-End COVID-19 Detection from Breath & Cough Audio. - Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga:
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. - Bryar Ahmad Hassan, Tarik A. Rashid:
A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets. - Dylan Bates:
A Hybrid Approach for Reinforcement Learning Using Virtual Policy Gradient for Balancing an Inverted Pendulum. - Tianhe Yu, Aviral Kumar, Rafael Rafailov, Aravind Rajeswaran, Sergey Levine, Chelsea Finn:
COMBO: Conservative Offline Model-Based Policy Optimization. - Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He:
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies. - Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens:
Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations. - Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen:
CTAB-GAN: Effective Table Data Synthesizing. - Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett:
Quantifying environment and population diversity in multi-agent reinforcement learning. - Ali Shokri, Joanna C. S. Santos, Mehdi Mirakhorli:
ArCode: Facilitating the Use of Application Frameworks to Implement Tactics and Patterns. - Phan-Minh Nguyen:
Analysis of feature learning in weight-tied autoencoders via the mean field lens. - Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik:
IntSGD: Floatless Compression of Stochastic Gradients. - Pranjal Awasthi, Alex Beutel, Matthäus Kleindessner, Jamie Morgenstern, Xuezhi Wang:
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information. - Konstantinos Demertzis, Konstantinos G. Tsiknas, Dimitrios Taketzis, Charalabos Skianis, Lazaros Iliadis:
Darknet Traffic Big-Data Analysis and Network Management to Real-Time Automating the Malicious Intent Detection Process by a Weight Agnostic Neural Networks Framework. - Hao Huang, Zeyu Mao, Mohammad Rasoul Narimani, Katherine R. Davis:
Toward Efficient Wide-Area Identification of Multiple Element Contingencies in Power Systems. - Maria Waheed, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
Improving Visual Place Recognition Performance by Maximising Complementarity. - Thorben Schoepe, Ella Janotte, Moritz B. Milde, Olivier J. N. Bertrand, Martin Egelhaaf, Elisabetta Chicca:
Finding the Gap: Neuromorphic Motion Vision in Cluttered Environments. - Whan-Hyuk Choi, Jon-Lark Kim:
An improved upper bound on self-dual codes over finite fields GF(11), GF(19), and GF(23). - Martina Forster, Clara Meister, Ryan Cotterell:
Searching for Search Errors in Neural Morphological Inflection. - Wenting Zhao, Carla P. Gomes:
Evaluating Multi-label Classifiers with Noisy Labels. - Xiumin Shang, Jinping Yang, Bingquan Zhu, Lin Ye, Jing Zhang, Jianping Xu, Qin Lyu, Ruisheng Diao:
Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents. - Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud:
Complex Momentum for Learning in Games. - Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, Emilio Ferrara:
Social Bots and Social Media Manipulation in 2020: The Year in Review. - Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul Thompson:
Scaling Neuroscience Research using Federated Learning. - Leonardo Cianfanelli, Giacomo Como, Asuman E. Ozdaglar, Francesca Parise:
Optimal intervention in traffic networks. - Mincheol Kim, Scott Niekum, Ashish D. Deshpande:
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences. - Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. - Matthew D. Parno, Taylor S. Hodgdon, Brendan A. West, Devin T. O'Connor, Arnold J. Song:
A Bayesian Approach for Inferring Sea Ice Loads. - Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li:
TableLab: An Interactive Table Extraction System with Adaptive Deep Learning. - Nika Haghtalab, Tim Roughgarden, Abhishek Shetty:
Smoothed Analysis with Adaptive Adversaries. - Juan E. Tapia, Marta Gomez-Barrero, Rodrigo Lara, Andres Valenzuela, Christoph Busch:
Selfie Periocular Verification using an Efficient Super-Resolution Approach. - Klas Leino, Zifan Wang, Matt Fredrikson:
Globally-Robust Neural Networks. - Boris Ruf, Marcin Detyniecki:
Towards the Right Kind of Fairness in AI. - Emily Diana, Wesley Gill, Ira Globus-Harris, Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi:
Lexicographically Fair Learning: Algorithms and Generalization. - Frederick Ayala-Gómez, Ismo Horppu, Erlin Gulbenkoglu, Vesa Siivola, Balazs Pejo:
Revenue Attribution on iOS 14 using Conversion Values in F2P Games. - Michael Hoss, Maike Scholtes, Lutz Eckstein:
A Review of Testing Object-Based Environment Perception for Safe Automated Driving. - Walid Marweni:
(-k)-critical trees and k-minimal trees. - Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. - Yu-Hsuan Shih, Garrett Wright, Joakim Andén, Johannes P. Blaschke, Alex H. Barnett:
cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs. - Mesut Toka, Eray Guven, Gunes Karabulut-Kurt, Oguz Kucur:
Performance Analyses of MRT/MRC in Dual-Hop NOMA Full-Duplex AF Relay Networks with Residual Hardware Impairments. - Xiuyan Ni, Shujian Bu, Igor L. Markov:
Prioritizing Original News on Facebook. - Dongjin Lee, Kijung Shin:
Robust Factorization of Real-world Tensor Streams with Patterns, Missing Values, and Outliers. - Xiang-Gen Xia:
ε-Arithmetics for Real Vectors. - Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. - Jia-Jie Zhu, Yassine Nemmour, Bernhard Schölkopf:
From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing. - Edgar Galván:
Neuroevolution in Deep Learning: The Role of Neutrality. - Andrew McGregor, David Tench, Hoa T. Vu:
Maximum Coverage in the Data Stream Model: Parameterized and Generalized. - Jiashen Cao, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim:
THIA: Accelerating Video Analytics using Early Inference and Fine-Grained Query Planning. - Robert McCluskey, Amir Enshaei, Bashar Awwad Shiekh Hasan:
Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter. - Mikko Raatikainen, Quim Motger, Clara Marie Lüders, Xavier Franch, Lalli Myllyaho, Elina Kettunen, Jordi Marco, Juha Tiihonen, Mikko Halonen, Tomi Männistö:
Improved dependency management for issue trackers in large collaborative projects. - Junaed Younus Khan, Md. Tawkat Islam Khondaker, Gias Uddin, Anindya Iqbal:
Automatic Detection of Five API Documentation Smells: Practitioners' Perspectives. - Amin Rakhsha, Xuezhou Zhang, Xiaojin Zhu, Adish Singla:
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments. - Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh:
Understanding How and Why Developers Seek and Analyze API-related Opinions. - Naeemullah Khan, Angira Sharma, Ganesh Sundaramoorthi, Philip H. S. Torr:
Shape-Tailored Deep Neural Networks. - Atif Raza, Stefan Kramer:
Pattern Sampling for Shapelet-based Time Series Classification. - Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio:
DEUP: Direct Epistemic Uncertainty Prediction. - Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Automatic API Usage Scenario Documentation from Technical Q&A Sites. - Matthias Paulik, Matt Seigel, Henry Mason, Dominic Telaar, Joris Kluivers, Rogier C. van Dalen, Chi Wai Lau, Luke Carlson, Filip Granqvist, Chris Vandevelde, Sudeep Agarwal, Julien Freudiger, Andrew Byde, Abhishek Bhowmick, Gaurav Kapoor, Si Beaumont, Áine Cahill, Dominic Hughes, Omid Javidbakht, Fei Dong, Rehan Rishi, Stanley Hung:
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications. - Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang:
Label Leakage and Protection in Two-party Split Learning. - Adetokunbo Adedoyin, Christian F. A. Negre, Jamaludin Mohd-Yusof, Nicolas Bock, Daniel Osei-Kuffuor, Jean-Luc Fattebert, Michael E. Wall, Anders M. N. Niklasson, Susan M. Mniszewski:
Performance Optimizations of Recursive Electronic Structure Solvers targeting Multi-Core Architectures (LA-UR-20-26665). - Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar:
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. - Michelle L. Blom, Philip B. Stark, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic:
Auditing Hamiltonian Elections. - Andrea Bonito, Vivette Girault, Diane Guignard, Kumbakonam R. Rajagopal, Endre Süli:
Finite Element Approximation of Steady Flows of Colloidal Solutions. - Alyssa Donawa, Corey E. Baker:
Addressing the Need for Remote Patient Monitoring Applications in Appalachian Areas. - Kahyun Lee, Mehmet Kayaalp, Sam Henry, Özlem Uzuner:
A Context-Enhanced De-identification System. - Joshua Horacsek, Usman R. Alim:
Automatic Generation of Interpolants for Lattice Samplings: Part I - Theory and Analysis. - Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner:
Transferability of Neural Network-based De-identification Systems. - Joshua Horacsek, Usman R. Alim:
Automatic Generation of Interpolants for Lattice Samplings: Part II - Implementation and Code Generation. - Muhammad Farhan, Qing Wang:
Efficient Maintenance of Distance Labelling for Incremental Updates in Large Dynamic Graphs. - Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg, Aram Galstyan:
Fast Graph Learning with Unique Optimal Solutions. - Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis:
DeepWalking Backwards: From Embeddings Back to Graphs. - Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson:
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. - Yi Lin, Bo Yang, Linchao Li, Dongyue Guo, Jianwei Zhang, Hu Chen, Yi Zhang:
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems. - Galen Weld, Maria Glenski, Tim Althoff:
Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities. - Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. - Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan:
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. - Nagashri N. Lakshminarayana, Yifang Liu, Karthik Dantu, Venu Govindaraju, Nils Napp:
Active Face Frontalization using Commodity Unmanned Aerial Vehicles. - Zhouyang Jia, Shanshan Li, Tingting Yu, Chen Zeng, Erci Xu, Xiaodong Liu, Ji Wang, Xiangke Liao:
DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures. - Xiaoyu Hao, Tao Yang, Yulin Hu, Bo Hu:
Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System. - Entisar Alhadi Al Ghawail, Sadok Ben Yahia, Mohamed A. Alrshah:
Challenges of Applying E-Learning in the Libyan Higher Education System. - Saeid Barati, Lee Ehudin, Hank Hoffmann:
NEAT: A Framework for Automated Exploration of Floating Point Approximations. - Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang:
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction. - Sheng Huang:
Oscars: Adaptive Semi-Synchronous Parallel Model for Distributed Deep Learning with Global View. - Ziteng Wang, Yueyue Na, Zhang Liu, Biao Tian, Qiang Fu:
Weighted Recursive Least Square Filter and Neural Network based Residual Echo Suppression for the AEC-Challenge. - Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang:
Integrating Pre-trained Model into Rule-based Dialogue Management. - Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction. - Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik:
Re-identification of Individuals in Genomic Datasets Using Public Face Images. - Zhenning Cai, Yanli Wang:
Numerical Solver for the Boltzmann Equation With Self-Adaptive Collision Operators. - Haik Manukian, Massimiliano Di Ventra:
Mode-Assisted Joint Training of Deep Boltzmann Machines. - Dongjae Kim, Jong-Kook Kim:
Contextual Skipgram: Training Word Representation Using Context Information. - Sampa Misra, Seungwan Jeon, Ravi Managuli, Seiyon Lee, Gyuwon Kim, Seungchul Lee, Richard G. Barr, Chulhong Kim:
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images. - Yong Gu, Hanlin Ren:
Constructing a Distance Sensitivity Oracle in O(n2.5794M) Time. - John Miller, Juan C. Perdomo, Tijana Zrnic:
Outside the Echo Chamber: Optimizing the Performative Risk. - Yunhan Huang, Quanyan Zhu:
Self-Triggered Markov Decision Processes. - Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu:
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. - Sakya Basak, Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
End-to-end lyrics Recognition with Voice to Singing Style Transfer. - Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. - Santiago Gonzalez, Mohak Kant, Risto Miikkulainen:
Evolving GAN Formulations for Higher Quality Image Synthesis. - Tuncay Altun, Ramtin Madani, Alper Atamtürk, Ross Baldick, Ali Davoudi:
Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow. - Byungchan Ko, Jungseul Ok:
Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning. - Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. - Aaron John-Sabu:
Localization using Mobile Wireless Sensor Networks. - Steph-Yves M. Louis, Alireza Nasiri, Fatima J. Rolland, Cameron Mitro, Jianjun Hu:
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique. - Joseph M. Coale, Dmitriy Y. Anistratov:
Reduced-Order Models for Thermal Radiative Transfer Based on POD-Galerkin Method and Low-Order Quasidiffusion Equations. - Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi:
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM. - Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu:
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. - Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu:
Leveraging Public Data for Practical Private Query Release. - Xuefeng Xu:
A new convergence analysis of two-level hierarchical basis methods. - Irwan Bello:
LambdaNetworks: Modeling Long-Range Interactions Without Attention. - Junbum Cha, Hancheol Cho, Kyungjae Lee, Seunghyun Park, Yunsung Lee, Sungrae Park:
Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts. - Lemeng Wu, Xingchao Liu, Qiang Liu:
Centroid Transformers: Learning to Abstract with Attention. - Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang:
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. - Niangjun Chen, Christian Kurniawan, Yorie Nakahira, Lijun Chen, Steven H. Low:
Smoothed Least-Laxity-First Algorithm for EV Charging. - Johannes Kremheller, Sebastian Brandstaeter, Bernhard A. Schrefler, Wolfgang A. Wall:
Validation and parameter optimization of a hybrid embedded/homogenized solid tumor perfusion model. - Anjali Sharma, Varsha Lohani, Yatindra Nath Singh:
A Vectored Fragmentation Metric for Elastic Optical Networks. - Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon:
Rethinking Co-design of Neural Architectures and Hardware Accelerators. - Kai Sheng Tai, Peter Bailis, Gregory Valiant:
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training. - Moo K. Chung, Alexander Smith, Gary Shiu:
Reviews: Topological Distances and Losses for Brain Networks. - Benjamin Sliwa, Rick Adam, Christian Wietfeld:
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network. - Yiming Wan, Dongying E. Shen, Sergio Lucia, Rolf Findeisen, Richard D. Braatz:
A Polynomial Chaos Approach to Robust H∞ Static Output-Feedback Control with Bounded Truncation Error. - Essam A. Rashed, Sachiko Kodera, Hidenobu Shirakami, Ryotetsu Kawaguchi, Kazuhiro Watanabe, Akimasa Hirata:
Knowledge discovery from emergency ambulance dispatch during COVID-19: A case study of Nagoya City, Japan. - Gennaro Notomista, Xiaoyi Cai:
A Safety and Passivity Filter for Robot Teleoperation Systems. - Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King:
Open-Retrieval Conversational Machine Reading. - Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser:
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification. - Alexander Felfernig, Martin Stettinger, Müslüm Atas, Ralph Samer, Jennifer Nerlich, Simon Scholz, Juha Tiihonen, Mikko Raatikainen:
Towards Utility-based Prioritization of Requirements in Open Source Environments. - Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov, Esa Ollila:
Coupled Feature Learning for Multimodal Medical Image Fusion. - Hao Wang, Weining Wang, Jing Liu:
Temporal Memory Attention for Video Semantic Segmentation. - Nora Hollenstein, Cédric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer, Ce Zhang:
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing. - Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra:
A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. - Yuhta Takida, Wei-Hsiang Liao, Toshimitsu Uesaka, Shusuke Takahashi, Yuki Mitsufuji:
Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE. - Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Modeling with Parallel Transport and Shape Splines. - Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Dong In Kim, Junshan Zhang, Qiang Yang:
A Game-theoretic Approach Towards Collaborative Coded Computation Offloading. - Jonas Ellert, Johannes Fischer:
Linear Time Runs over General Ordered Alphabets. - Shan Jaffry:
Intelligent Reflecting Surface Aided Wireless Energy Transfer and Mobile Edge Computing for Public Transport Vehicles. - Bell Raj Eapen, Feroze Kaliyadan, Ashique Karalikkattil T:
DICODerma: A practical approach for metadata management of images in dermatology. - Lidia Pocero, Stelios Tsampas, Georgios Mylonas, Dimitrios Amaxilatis:
Experiences from Using LoRa and IEEE 802.15.4 for IoT-enabled Classrooms. - Michael K. Cohen, Marcus Hutter, Neel Nanda:
Fully General Online Imitation Learning. - Shuai Zhang, Yi Tay, Wenqi Jiang, Da-Cheng Juan, Ce Zhang:
Switch Spaces: Learning Product Spaces with Sparse Gating. - Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter J. Stuckey:
Symmetry Breaking for k-Robust Multi-Agent Path Finding. - Giulia Cisotto, Andrea Trentini, Italo Zoppis, Alessio Zanga, Sara Manzoni, Giada Pietrabissa, Anna Guerrini Usubini, Gianluca Castelnuovo:
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens. - Alkida Balliu, Juho Hirvonen, Darya Melnyk, Dennis Olivetti, Joel Rybicki, Jukka Suomela:
Local Mending. - Janusz Schmude:
On polynomial grammars extended with substitution. - Mohammad Dehghani Soltani, Elham Sarbazi, Nikolaos Bamiedakis, Priyanka de Souza, Hossein Kazemi, Richard V. Penty, Harald Haas, Majid Safari:
Safety Analysis for Laser-based Optical Wireless Communications: A Tutorial. - Miguel Caballer, Marica Antonacci, Zdenek Sustr, Michele Perniola, Germán Moltó:
Deployment of Elastic Virtual Hybrid Clusters Across Cloud Sites. - David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimizer. - Thomas Gerstner, Bastian Harrach, Daniel Roth, Martin Simon:
Multilevel Monte Carlo learning. - George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations on Graphs. - Ngoc Mai Monica Huynh:
Newton-Krylov-BDDC deluxe solvers for non-symmetric fully implicit time discretizations of the Bidomain model. - Jihye An, Onur Dizdar, Bruno Clerckx, Wonjae Shin:
Rate-Splitting Multiple Access for Multi-Antenna Broadcast Channel with Imperfect CSIT and CSIR. - Qingqing Wu, Xiaobo Zhou, Robert Schober:
IRS-Assisted Wireless Powered NOMA: Is Dynamic Passive Beamforming Really Needed? - Denis Coquenet, Clément Chatelain, Thierry Paquet:
SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition. - Andrey Rudenko, Luigi Palmieri, Johannes Doellinger, Achim J. Lilienthal, Kai O. Arras:
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments. - Sebastian Monka, Lavdim Halilaj, Stefan Schmid, Achim Rettinger:
ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs. - Petros Spachos, Konstantinos N. Plataniotis:
BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities. - Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi:
A Regret Analysis of Bilateral Trade. - Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West:
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study. - Gabriele Albertini, Ahmed Elbanna, David S. Kammer:
A three-dimensional hybrid finite element - spectral boundary integral method for modeling earthquakes in complex unbounded domains. - Omar Mohamed, Zeyad Mohsen, Mohamed Wageeh, Mohamed Hegazy:
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach. - Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo:
Group Equivariant Conditional Neural Processes. - Serena Ivaldi, Pauline Maurice, Waldez Gomes, Jean Theurel, Liên Wioland, Jean-Jacques Atain-Kouadio, Laurent Claudon, Hind Hani, Antoine Kimmoun, Jean-Marc Sellal, Bruno Lévy, Jean Paysant, Sergueï Malikov, Bruno Chenuel, Nicla Settembre:
Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study. - Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. - Michael Färber:
Small, Fast, Concurrent Proof Checking for the lambda-Pi Calculus Modulo Rewriting. - Aakash Khochare, Yogesh Simmhan, Francesco Betti Sorbelli, Sajal K. Das:
Heuristic Algorithms for Co-scheduling of Edge Analytics and Routes for UAV Fleet Missions. - Adegboyega Akinsiku, Ignacio Avellino, Yasmin Graham, Helena M. Mentis:
It's Not Just the Movement: Experiential Information Needed for Stroke Telerehabilitation. - Saeid Barati, Gordon Kindlmann, Hank Hoffmann:
Comparing and Combining Approximate Computing Frameworks. - Christos N. Mavridis, Amoolya Tirumalai, John S. Baras, Ion Matei:
Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model. - Matthew Shardlow, Richard Evans, Marcos Zampieri:
Predicting Lexical Complexity in English Texts. - Mahsa Pourbafrani, Sandhya Vasudevan, Faizan Zafar, Yuan Xingran, Ravikumar Singh, Wil M. P. van der Aalst:
A Python Extension to Simulate Petri nets in Process Mining. - Felix Weitkämper:
An asymptotic analysis of probabilistic logic programming with implications for expressing projective families of distributions. - Giacomo Da Col, Erich Teppan:
Large-Scale Benchmarks for the Job Shop Scheduling Problem. - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users. - Prajwol Kumar Nakarmi, Mehmet Akif Ersoy, Elif Ustundag Soykan, Karl Norrman:
Murat: Multi-RAT False Base Station Detector. - Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe:
Graph Learning with 1D Convolutions on Random Walks. - Ali Burak Ünal, Nico Pfeifer, Mete Akgün:
ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation. - Bingbing Zheng, Li Pan, Shijun Liu:
Market-Oriented Online Bi-Objective Service Scheduling for Pleasingly Parallel Jobs with Variable Resources in Cloud Environments. - Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre:
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval. - Till Massing, Natalie Reckmann, Jens Klenke, Benjamin Otto, Christoph Hanck, Michael Goedicke:
Effects of Early Warning Emails on Student Performance. - Carlton Shepherd, Konstantinos Markantonakis, Georges-Axel Jaloyan:
LIRA-V: Lightweight Remote Attestation for Constrained RISC-V Devices. - Dan Alistarh, Rati Gelashvili, Joel Rybicki:
Fast Graphical Population Protocols. - Anatoly A. Alikhanov, Chengming Huang:
A high-order L2 type difference scheme for the time-fractional diffusion equation. - Majid Raeis, S. Jamaloddin Golestani:
Distributed Fair Scheduling for Information Exchange in Multi-Agent Systems. - Aadarsh Singh, Priyanshu Kumar:
SciDr at SDU-2020: IDEAS - Identifying and Disambiguating Everyday Acronyms for Scientific Domain. - Philipp Junker, Johannes Riesselmann, Daniel Balzani:
Efficient and robust numerical treatment of a gradient-enhanced damage model at large deformations. - Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner:
Crop mapping from image time series: deep learning with multi-scale label hierarchies. - Erik Jansson, Mihály Kovács, Annika Lang:
Surface finite element approximation of spherical Whittle-Matérn Gaussian random fields. - Hans Gersbach, Akaki Mamageishvili, Manvir Schneider:
Vote Delegation and Misbehavior. - Inga Jatzkowski, Till Menzel, Markus Maurer:
A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoring. - David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich:
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. - Hans Gersbach, Akaki Mamageishvili, Manvir Schneider:
Vote Delegation Favors Minority. - Zijing Wang, Mihai-Alin Badiu, Justin P. Coon:
A Framework for Characterising the Value of Information in Hidden Markov Models. - Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu:
Genetically Optimized Prediction of Remaining Useful Life. - Jörg Drechsler:
Differential Privacy for Government Agencies - Are We There Yet? - Nicola Milano, Stefano Nolfi:
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach. - Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. - Thomas N. Haider:
Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features. - Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
ShaRF: Shape-conditioned Radiance Fields from a Single View. - Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar, Pablo Bustos, Diego R. Faria, Luis J. Manso:
A Graph Neural Network to Model User Comfort in Robot Navigation. - Stefan Driessen, Dario Di Nucci, Geert Monsieur, Willem-Jan van den Heuvel:
AGSolT: a Tool for Automated Test-Case Generation for Solidity Smart Contracts. - Kahraman Kostas, Mike Just, Michael A. Lones:
IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT. - Mehmet Emin Aktas, Esra Akbas:
Hypergraph Laplacians in Diffusion Framework. - Fartash Faghri, Cristina Nader Vasconcelos, David J. Fleet, Fabian Pedregosa, Nicolas Le Roux:
Bridging the Gap Between Adversarial Robustness and Optimization Bias. - Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis:
Online Co-movement Pattern Prediction in Mobility Data. - (Withdrawn) I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion.
- A'ang Subiyakto, Noni Erlina, Yuni Sugiarti, Nashrul Hakiem, Moh. Irfan, Abdul Rahman Ahlan:
Assessing Mobile Learning System Performance in Indonesia: Reports of the Model Development and Its Instrument Testing. - Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Mining API Usage Scenarios from Stack Overflow. - Andry Alamsyah, Yahya Peranginangin, Intan Muchtadi-Alamsyah, Budi Rahardjo, Kuspriyanto:
Graph Sampling Approach for Reducing Computational Complexity of Large-Scale Social Network. - Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. - Mark Bun, Marek Eliás, Janardhan Kulkarni:
Differentially Private Correlation Clustering. - Wenjie Yin, Arkaitz Zubiaga:
Towards generalisable hate speech detection: a review on obstacles and solutions. - Andry Alamsyah, Budi Rahardjo, Kuspriyanto:
Social Network Analysis Taxonomy Based on Graph Representation. - Rudolf Rosa, Tomás Musil, Ondrej Dusek, Dominik Jurko, Patrícia Schmidtová, David Marecek, Ondrej Bojar, Tom Kocmi, Daniel Hrbek, David Kosták, Martina Kinská, Marie Nováková, Josef Dolezal, Klára Vosecká, Tomás Studeník, Petr Zabka:
THEaiTRE 1.0: Interactive generation of theatre play scripts. - Maha Mohammed Khan:
An Implementation of Vector Quantization using the Genetic Algorithm Approach. - Arvind W. Kiwelekar, Pramod Patil, Laxman D. Netak, Sanjay U. Waikar:
Blockchain-based Security Services for Fog Computing. - Wenyu Zhang, Mohamed Ragab, Ramón Sagarna:
Robust Domain-Free Domain Generalization with Class-aware Alignment. - Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay:
Few-shot Conformal Prediction with Auxiliary Tasks. - Yulai Zhao, Yuandong Tian, Jason D. Lee, Simon S. Du:
Provably Efficient Policy Gradient Methods for Two-Player Zero-Sum Markov Games. - Nima Mahmoudi, Hamzeh Khazaei:
SimFaaS: A Performance Simulator for Serverless Computing Platforms. - Matthias Bentert, Tomohiro Koana, Rolf Niedermeier:
The Complexity of Gerrymandering Over Graphs: Paths and Trees. - Wenyu Zhang:
POLA: Online Time Series Prediction by Adaptive Learning Rates. - Shruthi Sai Chivukula, Ziqing Li, Anne C. Pivonka, Jingning Chen, Colin M. Gray:
Surveying the Landscape of Ethics-Focused Design Methods. - S. Rasoul Etesami:
Maximizing Social Welfare Subject to Network Externalities: A Unifying Submodular Optimization Approach. - Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar:
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. - William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection. - Véronique Bruyère, Jean-François Raskin, Clément Tamines:
Stackelberg-Pareto Synthesis (Full Version). - Xingran Chen, Renpu Liu, Shaochong Wang, Shirin Saeedi Bidokhti:
Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs. - Hossein Moayedi, Amir Mosavi:
Synthesizing multi-layer perceptron network with ant lion, biogeography-based dragonfly algorithm evolutionary strategy invasive weed and league champion optimization hybrid algorithms in predicting heating load in residential buildings. - Jamal Toutouh, Una-May O'Reilly:
Signal Propagation in a Gradient-Based and Evolutionary Learning System. - Jason A. Platt, Adrian S. Wong, Randall Clark, Stephen G. Penny, Henry D. I. Abarbanel:
Forecasting Using Reservoir Computing: The Role of Generalized Synchronization. - David J. Jilk:
An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition. - Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà:
Sparsely Factored Neural Machine Translation. - Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic:
Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics. - Jiafan He, Dongruo Zhou, Quanquan Gu:
Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation. - Joseph P. Robinson:
Automatic Face Understanding: Recognizing Families in Photos. - Omid Jafari, Preeti Maurya, Parth Nagarkar, Khandker Mushfiqul Islam, Chidambaram Crushev:
A Survey on Locality Sensitive Hashing Algorithms and their Applications. - Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. - Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. - Pavel Vazquez, Kayoko Shoji, Steffen Novik, Stefan Krauss, Simon Rayner:
A decentralized FAIR platform to facilitate data sharing in the life sciences. - Soravit Changpinyo, Piyush Sharma, Nan Ding, Radu Soricut:
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts. - Zhenghong Li, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström:
Automated Detection of Equine Facial Action Units. - Chuadhry Mujeeb Ahmed, Martín Ochoa, Jianying Zhou, Aditya Mathur:
Scanning the Cycle: Timing-based Authentication on PLCs. - Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo:
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation. - Takuya Kanazawa:
Using Distance Correlation for Efficient Bayesian Optimization. - Alberto Sabater, Laura Santos, José Santos-Victor, Alexandre Bernardino, Luis Montesano, Ana C. Murillo:
One-shot action recognition towards novel assistive therapies. - Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar:
Mobile Computational Photography: A Tour. - Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Impartial selection with prior information. - Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Domain Impression: A Source Data Free Domain Adaptation Method. - Alexander Felfernig, Monika Schubert, Christoph Zehentner:
An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets. - Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos:
BORE: Bayesian Optimization by Density-Ratio Estimation. - Fatemah S. Behbehani, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Power Minimization in Vehicular Cloud Architecture. - Avery Ma, Aladin Virmaux, Kevin Scaman, Juwei Lu:
Improving Hierarchical Adversarial Robustness of Deep Neural Networks. - Trevor Olsen, Anne M. Tumlin, Nicholas M. Stiffler, Jason M. O'Kane:
A Visibility Roadmap Sampling Approach for a Multi-Robot Visibility-Based Pursuit-Evasion Problem. - Nan Li, Kyoungseok Han, Ilya V. Kolmanovsky, Anouck Girard:
Coordinated Receding-Horizon Control of Battery Electric Vehicle Speed and Gearshift Using Relaxed Mixed Integer Nonlinear Programming. - Nicole Immorlica, Brendan Lucier, Vahideh H. Manshadi, Alexander Wei:
Designing Approximately Optimal Search on Matching Platforms. - Wenyu Wang, Nanpeng Yu:
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method. - Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters. - Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang:
Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm. - Manan Gandhi, Bogdan I. Vlahov, Jason Gibson, Grady Williams, Evangelos A. Theodorou:
Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees. - Marten van Dijk, Nhuong V. Nguyen, Toan N. Nguyen, Lam M. Nguyen, Phuong Ha Nguyen:
Differential Private Hogwild! over Distributed Local Data Sets. - Karl Bäckström, Ivan Walulya, Marina Papatriantafilou, Philippas Tsigas:
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence. - Alexander Katsevich:
Resolution analysis of inverting the generalized $N$-dimensional Radon transform in $\mathbb R^n$ from discrete data. - Jürgen Dölz, Olena Palii, Matthias Schlottbom:
On robustly convergent and efficient iterative methods for anisotropic radiative transfer. - Mingyuan Zhong, Gang Li, Yang Li:
Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming. - Ittai Abraham, Philipp Jovanovic, Mary Maller, Sarah Meiklejohn, Gilad Stern, Alin Tomescu:
Reaching Consensus for Asynchronous Distributed Key Generation. - Jacques Bou Abdo:
Efficient and Secure Mobile Cloud Networking. - Dmitriy Y. Anistratov, Joseph M. Coale, James S. Warsa, Jae H. Chang:
Multilevel Second-Moment Methods with Group Decomposition for Multigroup Transport Problems. - Yoshua Gombo, Anuj Tiwari, Santosh Devasia:
Communication-free Cohesive Flexible-Object Transport using Decentralized Robot Networks. - Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun, Kevin Tomsovic, Hairong Qi:
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids. - Carsten Wiecher, Carsten Wolff, Harald Anacker, Roman Dumitrescu:
Selecting Features for the Next Release in a System of Systems Context. - Boya Xie, Zhihong Shen, Kuansan Wang:
Is preprint the future of science? A thirty year journey of online preprint services. - Kian Paimani:
SonicChain: A Wait-free, Pseudo-Static Approach Toward Concurrency in Blockchains. - Niels Leadholm, Marcus Lewis, Subutai Ahmad:
Grid Cell Path Integration For Movement-Based Visual Object Recognition. - Robi Bhattacharjee, Kamalika Chaudhuri:
Consistent Non-Parametric Methods for Adaptive Robustness. - Michael Xuelin Huang, Yang Li, Nazneen Nazneen, Alexander Chao, Shumin Zhai:
TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input. - Diana Kirk, Stephen G. MacDonell:
Investigating a Conceptual Construct for Software Context. - Ádám D. Lelkes, Vinh Q. Tran, Cong Yu:
Quiz-Style Question Generation for News Stories. - Kaiyuan Wang, Daniel Rall, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad:
Smart Build Targets Batching Service at Google. - Mohamed Amgad, Lamees A. Atteya, Hagar Hussein, Kareem Hosny Mohammed, Ehab Hafiz, Maha A. T. Elsebaie, Ahmed M. Alhusseiny, Mohamed Atef AlMoslemany, Abdelmagid M. Elmatboly, Philip A. Pappalardo, Rokia Adel Sakr, Pooya Mobadersany, Ahmad Rachid, Anas M. Saad, Ahmad M. Alkashash, Inas A. Ruhban, Anas Alrefai, Nada M. Elgazar, Ali Abdulkarim, Abo-Alela Farag, Amira Etman, Ahmed G. Elsaeed, Yahya Alagha, Yomna A. Amer, Ahmed M. Raslan, Menatalla K. Nadim, Mai A. T. Elsebaie, Ahmed Ayad, Liza E. Hanna, Ahmed M. Gadallah, Mohamed Elkady, Bradley Drumheller, David Jaye, David Manthey, David A. Gutman, Habiba Elfandy, Lee A. D. Cooper:
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. - Robi Bhattacharjee, Jacob Imola:
No-Substitution $k$-means Clustering with Low Center Complexity and Memory. - Farid Naufal Aslam, Andry Alamsyah:
The Small World Phenomenon and Network Analysis of ICT Startup Investment in Indonesia and Singapore. - Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. - Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. - Minghua Liu, Minhyuk Sung, Radomír Mech, Hao Su:
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates. - Eva Cetinic, James She:
Understanding and Creating Art with AI: Review and Outlook. - Dan Li, Dariush Fooladivanda, Sonia Martínez:
Online Optimization and Learning in Uncertain Dynamical Environments with Performance Guarantees. - Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. - Jiachen Li, Hengbo Ma, Zhihao Zhang, Jinning Li, Masayoshi Tomizuka:
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking. - Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian:
Learning Invariant Representation of Tasks for Robust Surgical State Estimation. - Subhasis Dasgupta, Amarnath Gupta:
A Query-Driven System for Discovering Interesting Subgraphs in Social Media. - Lingjiao Chen, Matei Zaharia, James Zou:
FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks. - Jin Cheng, Jiantang Zhang, Min Zhong:
Extract the information from the big data with randomly distributed noise. - Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. - Saurabh Amin, Patrick Jaillet, Manxi Wu:
Efficient Carpooling and Toll Pricing for Autonomous Transportation. - Chaowei Fang, Haibin Tian, Dingwen Zhang, Qiang Zhang, Jungong Han, Junwei Han:
Densely Nested Top-Down Flows for Salient Object Detection. - Cansu Sen, Bingyang Ye, Javed Aslam, Amir Tahmasebi:
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention. - Xinhan Di, Pengqian Yu:
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes. - Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Bipartite Graph based Recommendation. - Ziwen Chen, Zixuan Guo, Jerod J. Weinman:
Improved Point Transformation Methods For Self-Supervised Depth Prediction. - Ethan N. Evans, Andrew P. Kendall, Evangelos A. Theodorou:
Stochastic Spatio-Temporal Optimization for Control and Co-Design of Systems in Robotics and Applied Physics. - Xi Chen, Yuwen Li, Corina S. Drapaca, John Cimbala:
Some continuous and discontinuous Galerkin methods and structure preservation for incompressible flows. - Decky Aspandi, Federico Sukno, Björn W. Schuller, Xavier Binefa:
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild. - Gourav Saha, Alhussein A. Abouzeid, Zaheer Khan, Marja Matinmikko-Blue:
On the Optimal Duration of Spectrum Leases in Exclusive License Markets with Stochastic Demand. - Diana Kirk, Stephen G. MacDonell:
Categorising Software Contexts: Research-in-Progress. - Hangsong Yan, Alexei Ashikhmin, Hong Yang:
Can Massive MIMO Support URLLC? - Zheng Chen, Liu Liu, Lin Mu:
Solving the linear transport equation by a deep neural network approach. - Xiyang Liu, Weihao Kong, Sham M. Kakade, Sewoong Oh:
Robust and Differentially Private Mean Estimation. - Stephen Tu, Alexander Robey, Nikolai Matni:
Closing the Closed-Loop Distribution Shift in Safe Imitation Learning. - Gourav Saha, Alhussein A. Abouzeid:
Optimal Spectrum Partitioning and Licensing in Tiered Access under Stochastic Market Models. - Sungho Lee, Minsu Kim, Jemin Lee, Ruei-Hau Hsu, Tony Q. S. Quek:
Latency Modeling of Hyperledger Fabric for Blockchain-based IoT (BC-IoT) Networks. - Manisha Chowdhury, B. V. Rathish Kumar:
Subgrid multiscale stabilized finite element analysis of non-Newtonian Power-law model fully coupled with Advection-Diffusion-Reaction equations. - Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu:
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. - Quang Pham Huu, Thoi Hoang Dinh, Ngoc N. Tran, Toan Pham Van, Ta Minh Thanh:
Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm. - Benjamin Patrick Evans, Mikhail Prokopenko:
A maximum entropy model of bounded rational decision-making with prior beliefs and market feedback. - Muneer Ahmad, M. Sadik Batcha, S. Roselin Jahina:
Testing Lotka's Law and Pattern of Author Productivity in the Scholarly Publications of Artificial Intelligence. - T. Jaya Lakshmi, S. Durga Bhavani:
Link Prediction Approach to Recommender Systems. - Liqi Yan, Yiming Cui, Yingjie Victor Chen, Dongfang Liu:
Hierarchical Attention Fusion for Geo-Localization. - Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu:
Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization. - Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau:
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning. - Ahmet Emir, Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu:
DeepMuD: Multi-user Detection for Uplink Grant-Free NOMA IoT Networks via Deep Learning. - Soumyottam Chatterjee, Gopal Pandurangan, Peter Robinson:
Network Size Estimation in Small-World Networks under Byzantine Faults. - Christopher X. Ren, Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov:
Learning Continuous Exponential Families Beyond Gaussian. - Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz:
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. - Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen:
Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks. - Emir Demirel, Sven Ahlbäck, Simon Dixon:
Low Resource Audio-to-Lyrics Alignment From Polyphonic Music Recordings. - Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. - Siqing Hou, Dongqi Han, Jun Tani:
Learning Memory-Dependent Continuous Control from Demonstrations. - Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie:
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. - Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola:
Continuous Doubly Constrained Batch Reinforcement Learning. - Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi:
Random Projections for Improved Adversarial Robustness. - Minjia Shi, Li Xu, Patrick Solé:
On isodual double Toeplitz codes. - Kuo Gai, Shihua Zhang:
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space. - Hong Su, Bing Guo, Yan Shen, Tao Li:
Strongly Connected Topology Model and Confirmation-based Propagation Method for Cross-chain Interaction. - Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta, Himanshu Kumar:
DSRN: an Efficient Deep Network for Image Relighting. - Haochen Liu, Zhiyu Huang, Chen Lv:
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving. - Jun Lv, Wenqiang Xu, Lixin Yang, Sucheng Qian, Chongzhao Mao, Cewu Lu:
HandTailor: Towards High-Precision Monocular 3D Hand Recovery. - Johan Leduc, Nicolas Grislain:
Composable Generative Models. - Aparna Vadlamani, Rishitha Kalicheti, Sridhar Chimalakonda:
APIScanner - Towards Automated Detection of Deprecated APIs in Python Libraries. - Wouter van Heeswijk:
Strategic bidding in freight transport using deep reinforcement learning. - Aida Rashidinejad, Michel A. Reniers, Martin Fabian:
Networked Supervisory Control Synthesis of Timed Discrete-Event Systems. - Kimberly Lange, Elias Rohrer, Florian Tschorsch:
On the Impact of Attachment Strategies for Payment Channel Networks. - Marta Gomez-Barrero, Pawel Drozdowski, Christian Rathgeb, Jose Patino, Massimiliano Todisco, Andreas Nautsch, Naser Damer, Jannis Priesnitz, Nicholas W. D. Evans, Christoph Busch:
Biometrics in the Era of COVID-19: Challenges and Opportunities. - Milan Straka, Lucia Piatriková, Peter van Bokhoven, Lubos Buzna:
A matrix approach to detect temporal behavioral patterns at electric vehicle charging stations. - Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Min Soo Kim, Hyunjin Kim, Nader Bagherzadeh:
PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs. - Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. - Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie:
Training Microsoft News Recommenders with Pretrained Language Models in the Loop. - Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. - Lucas Theis, Eirikur Agustsson:
On the advantages of stochastic encoders. - Yang Zou, Mingyao Qi:
A Heuristic Method for Load Retrievals Route Programming in Puzzle-based Storage Systems. - Alkida Balliu, Sebastian Brandt, Dennis Olivetti, Jan Studený, Jukka Suomela, Aleksandr Tereshchenko:
Locally Checkable Problems in Rooted Trees. - Konstantinos Vougioukas, Stavros Petridis, Maja Pantic:
DINO: A Conditional Energy-Based GAN for Domain Translation. - Lei Shen, Haolan Zhan, Xin Shen, Yang Feng:
Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation. - Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu:
Truncation-Free Matching System for Display Advertising at Alibaba. - Ross Drummond, Matthew C. Turner, Stephen R. Duncan:
Reduced-Order Neural Network Synthesis with Robustness Guarantees. - Lorenzo Zino, Mengbin Ye, Ming Cao:
A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems. - Franz Rußwurm, Willem Esterhuizen, Karl Worthmann, Stefan Streif:
Interplay of MPC and the Viability Kernel. - Pavel Dvorák, Michal Koucký, Karel Král, Veronika Slívová:
Data Structures Lower Bounds and Popular Conjectures. - Alex Watson, Suvam Kumar Das, Suprio Ray:
An Unified System for Data Analytics and In Situ Query Processing. - Hana Alghamdi, Rozenn Dahyot:
Sliced $\mathcal{L}_2$ Distance for Colour Grading. - Benjamin Bodner, Gil Ben Shalom, Eran Treister:
GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks. - Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý:
Theory meets Practice: worst case behavior of quantile algorithms. - Yana Dimova, Gunes Acar, Lukasz Olejnik, Wouter Joosen, Tom van Goethem:
The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion. - Elad Hazan, Karan Singh:
Boosting for Online Convex Optimization. - Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach:
VAE Approximation Error: ELBO and Conditional Independence. - Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa:
Hierarchical Learning Using Deep Optimum-Path Forest. - Kavya Alluru, Jeganathan L.:
Graph based Data Dependence Identifier for Parallelization of Programs. - Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. - Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. - Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais:
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification. - Zhou Zhou, Lingjia Liu, Jiarui Xu:
Harnessing Tensor Structures - Multi-Mode Reservoir Computing and Its Application in Massive MIMO. - Zuohui Chen, Tony Zhang, Zhuangzhi Chen, Yun Xiang, Qi Xuan, Robert P. Dick:
HVAQ: A High-Resolution Vision-Based Air Quality Dataset. - Junwen Huang, Yifei Shi, Xin Xu, Yifan Zhang, Kai Xu:
StablePose: Learning 6D Object Poses from Geometrically Stable Patches. - Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. - Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. - Aida Rashidinejad, Michel A. Reniers, Martin Fabian:
Supervisory Control Synthesis of Timed Automata Using Forcible Events. - Xinlong Lu, Zhengming Ma, Yuanping Lin:
Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels. - Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He:
Federated Depression Detection from Multi-SourceMobile Health Data. - Selmer Bringsjord, Naveen Sundar Govindarajulu, Michael Giancola:
AI Can Stop Mass Shootings, and More. - Iuliana Marin, Andrei Vasilateanu, Bujor Pavaloiu, Nicolae Goga:
User Requirements and Analysis of Preeclampsia Detection done through a Smart Bracelet. - Valdigleis S. Costa, Benjamín R. C. Bedregal, Regivan H. N. Santiago:
On Typical Hesitant Fuzzy Languages and Automata. - Mehmet Can Yavuz:
Multilingual, Temporal and Sentimental Distant-Reading of City Events. - Syed Muhammad Arsalan Bashir, Yi Wang, Mahrukh Khan:
A Comprehensive Review of Deep Learning-based Single Image Super-resolution. - Carlo Cenedese, Michele Cucuzzella, Jacquelien M. A. Scherpen, Sergio Grammatico, Ming Cao:
Highway Traffic Control via Smart e-Mobility - Part I: Theory. - Stephan Gerster, Michael Herty, Elisa Iacomini:
Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation. - Desmond Cai, Shiau Hong Lim, Laura Wynter:
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning. - Jessica Morley, Anat Elhalal, Francesca Garcia, Libby Kinsey, Jakob Mökander, Luciano Floridi:
Ethics as a service: a pragmatic operationalisation of AI Ethics. - Mieczyslaw L. Owoc, Agnieszka Sawicka, Pawel Weichbroth:
Artificial Intelligence Technologies in Education: Benefits, Challenges and Strategies of Implementation. - Kai-Kristian Kemell, Polina Feshchenko, Joonas Himmanen, Abrar Hossain, Furqan Jameel, Raffaele Luigi Puca, Teemu Vitikainen, Joni Kultanen, Juhani Risku, Johannes Impiö, Anssi Sorvisto, Pekka Abrahamsson:
Software startup education: gamifying growth hacking. - Lex Bijlsma, Niels Doorn, Harrie Passier, Harold Pootjes, Sylvia Stuurman:
How do students test software units? - Sweta Swarnam:
Effect of Social Media Use on Mental Health during Lockdown in India. - Lara Gauder, Leonardo Pepino, Pablo Riera, Silvina Brussino, Jazmín Vidal, Agustín Gravano, Luciana Ferrer:
A Study on the Manifestation of Trust in Speech. - Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Anshuman Sharma, Ishaan Singh, Haris Nazir, Colin Kang, Saurish Srivastava, Parth Patwa, Abhishek Singh, Priyanshi Katiyar, Vitor Pamplona, Ramesh Raskar:
Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination. - Parinaz Barakhshan, Rudolf Eigenmann:
Exchanging Best Practices and Tools for Supporting Computational and Data-Intensive Research, The Xpert Network. - Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji:
Hierarchical Similarity Learning for Language-based Product Image Retrieval. - Zhi Li, Cheng Ren, Xianyou Li, Zachary A. Pardos:
Learning Skill Equivalencies Across Platform Taxonomies. - Mihaela Gaman, Sebastian Cojocariu, Radu Tudor Ionescu:
UnibucKernel: Geolocating Swiss-German Jodels Using Ensemble Learning. - Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. - Phillip Koshute, Jared Zook, Ian McCulloh:
Recommending Training Set Sizes for Classification. - Lucia Valentina Gambuzza, Mattia Frasca:
Distributed control of multi-consensus. - Marcelo Fonseca Faraj, Christian Schulz:
Buffered Streaming Graph Partitioning. - Steffen Dereich, Sebastian Kassing:
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes. - Jorge Melegati, Eduardo Guerra, Xiaofeng Wang:
HyMap: eliciting hypotheses in early-stage software startups using cognitive mapping. - Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. - Anchen Li, Bo Yang:
HSR: Hyperbolic Social Recommender. - Al-Akhir Nayan, Ahamad Nokib Mozumder, Joyeta Saha, Khan Raqib Mahmud, Abul Kalam al Azad:
Early Detection of Fish Diseases by Analyzing Water Quality Using Machine Learning Algorithm. - Ani Adhikari, John DeNero, Michael I. Jordan:
Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley. - Jacob Swambo, Antoine Poinsot:
Risk Framework for Bitcoin Custody Operation with the Revault Protocol. - Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar:
Robust PDF Document Conversion Using Recurrent Neural Networks. - Pin Lyu, Seakweng Vong:
Second-order and nonuniform time-stepping schemes for time fractional evolution equations with time-space dependent coefficients. - Yi-Syuan Chen, Hong-Han Shuai:
Meta-Transfer Learning for Low-Resource Abstractive Summarization. - Anqing Jiang, LiangYao Chen, Osamu Yoshie:
A Reinforcement learning method for Optical Thin-Film Design. - Ikjyot Singh Kohli, Michael C. Haslam:
The Wavefunction of Continuous-Time Recurrent Neural Networks. - Benjamin S. Clegg, Maria-Cruz Villa-Uriol, Phil McMinn, Gordon Fraser:
Gradeer: An Open-Source Modular Hybrid Grader. - Andreas Kamilaris, Ian Cole, Francesc X. Prenafeta-Boldu:
Blockchain in agriculture. - Christian Klöppelt, Lukas Schwenkel, Frank Allgöwer, Matthias A. Müller:
Transient Performance of Tube-based Robust Economic Model Predictive Control. - Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games. - Quentin Delfosse, Patrick Schramowski, Alejandro Molina, Kristian Kersting:
Recurrent Rational Networks. - Antonio Carlos Silva-Filho, Sara Raquel Dutra-Macedo, Adeilson Serra Mendes Vieira, Cristiano Mostarda:
A Machine Learning model of the combination of normalized SD1 and SD2 indexes from 24h-Heart Rate Variability as a predictor of myocardial infarction. - Maciej Pacut, Mahmoud Parham, Joel Rybicki, Stefan Schmid, Jukka Suomela, Aleksandr Tereshchenko:
Locality in Online Algorithms. - Anastasios K. Papazafeiropoulos, Cunhua Pan, Ahmet M. Elbir, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior:
Coverage Probability of Distributed IRS Systems Under Spatially Correlated Channels. - Charles Hartsell, Shreyas Ramakrishna, Abhishek Dubey, Dániel Stojcsics, Nagabhushan Mahadevan, Gabor Karsai:
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems. - Morteza Golkarifard, Carla-Fabiana Chiasserini, Francesco Malandrino, Ali Movaghar:
Dynamic VNF Placement, Resource Allocation and Traffic Routing in 5G. - Ayaan Haque, Viraaj Reddi, Tyler Giallanza:
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction. - Günther Eibl, Sanaz Taheri Boshrooyeh, Alptekin Küpçü:
AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy. - Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee:
State Entropy Maximization with Random Encoders for Efficient Exploration. - Alexander Eckl, Anja Kirschbaum, Marilena Leichter, Kevin Schewior:
A Stronger Impossibility for Fully Online Matching. - Carlo Cenedese, Michele Cucuzzella, Jacquelien M. A. Scherpen, Sergio Grammatico, Ming Cao:
Highway Traffic Control via Smart e-Mobility - Part II: Dutch A13 Case Study. - Alexander Barabanov, Denis Makrushin:
Security audit logging in microservice-based systems: survey of architecture patterns. - Armando B. Matos, Luca Paolini, Luca Roversi:
Interleaving classical and reversible. - Bruno Rodrigo Martins, Joaquim A. Jorge, Ezequiel R. Zorzal:
Towards augmented reality for corporate training. - Alexander Kott, Igor Linkov:
To Improve Cyber Resilience, Measure It. - Khadija Hafeez, Mubashir Husain Rehmani, Donna O'Shea:
DPNCT: A Differential Private Noise Cancellation Scheme for Load Monitoring and Billing for Smart Meters. - Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. - Manion Anderson, Merve Bodur, Scott Rathwell, Vahid Sarhangian:
Optimization Helps Scheduling Nursing Staff at the Long-Term Care Homes of the City of Toronto. - Luís M. S. Russo:
Range Minimum Queries in Minimal Space. - Guodong Zhang, Yuanhao Wang, Laurent Lessard, Roger B. Grosse:
Don't Fix What ain't Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization. - Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn:
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football. - Lovedeep Singh:
Fake News Detection: a comparison between available Deep Learning techniques in vector space. - Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Changlei Lu, Ganchao Tan:
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results. - Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari:
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. - Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar:
Verifying Probabilistic Specifications with Functional Lagrangians. - Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda:
Unbiased Teacher for Semi-Supervised Object Detection. - Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad Enamul Hoque Chowdhury, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Naveed Nawaz:
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model. - Adithya M. Devraj, Benjamin Van Roy, Kuang Xu:
A Bit Better? Quantifying Information for Bandit Learning. - Mahdi Cheraghchi, Joseph Downs, João Ribeiro, Alexandra Veliche:
Mean-Based Trace Reconstruction over Practically any Replication-Insertion Channel. - Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Data-Aware Device Scheduling for Federated Edge Learning. - Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan:
Optimizing Black-box Metrics with Iterative Example Weighting. - Zhonggang Zeng:
Singular algebraic equations with empirical data. - Yasasvi Hari, Rohit Singh, Kizito Nyuytiymbiy, David Butera:
Consenting to Internet of Things Across Different Social Settings. - Daniel F. Leite, Pedro Henrique Silva Coutinho, Iury Bessa, Murilo C. O. Camargos Filho, Luiz Cordovil Junior, Reinaldo M. Palhares:
Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model. - Igor L. Markov, Jacqueline Liu, Adam Vagner:
Regular Expressions for Fast-response COVID-19 Text Classification. - Hao Guan, Mingxia Liu:
Domain Adaptation for Medical Image Analysis: A Survey. - Sudhanshu Mittal, Silvio Galesso, Thomas Brox:
Essentials for Class Incremental Learning. - Murilo C. O. Camargos, Iury Bessa, Luiz A. Q. Cordovil Junior, Pedro Henrique Silva Coutinho, Daniel Furtado Leite, Reinaldo Martinez Palhares:
Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics. - Luis C. García-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Image Compositing for Segmentation of Surgical Tools without Manual Annotations. - Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho:
Fuzzy clustering algorithms with distance metric learning and entropy regularization. - Vaibhav Saxena, Jimmy Ba, Danijar Hafner:
Clockwork Variational Autoencoders. - Elad I. Farhi, Vadim Indelman:
iX-BSP: Incremental Belief Space Planning. - Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas:
Off-policy Confidence Sequences. - Bo Liu, Li-Ming Zhan, Li Xu, Lin Ma, Yan Yang, Xiao-Ming Wu:
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering. - Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial optimization and reasoning with graph neural networks. - Alireza Sepas-Moghaddam, Ali Etemad:
Deep Gait Recognition: A Survey. - Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. - Rafal Powalski, Lukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michal Pietruszka, Gabriela Palka:
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer. - Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex:
A Systematic Review of Natural Language Processing Applied to Radiology Reports. - Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi:
Delving into Deep Imbalanced Regression. - Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraph Embedding Meets Relational Algebra. - Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang:
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. - Juan Sosa, Brenda Betancourt:
A Latent Space Model for Multilayer Network Data. - Yue Jiang, Wenjia Zhang, Fan Yang, Zuyuan He:
Photonic Convolution Neural Network Based on Interleaved Time-Wavelength Modulation. - Marijan Beg, Juliette Taka, Thomas Kluyver, Olexandr Konovalov, Min Ragan-Kelly, Nicolas M. Thiéry, Hans Fangohr:
Using Jupyter for reproducible scientific workflows. - Rocío del Amor, Adrián Colomer, Carlos Monteagudo, Valery Naranjo:
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation. - Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad:
Benefits of Linear Conditioning for Segmentation using Metadata. - Yichen Zhang, Hantao Cui, Jianzhe Liu, Feng Qiu, Tianqi Hong, Rui Yao, Fangxing Li:
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling. - Juan Pablo Vigneaux:
Entropy under disintegrations. - Henry Kenlay, Dorina Thanou, Xiaowen Dong:
Interpretable Stability Bounds for Spectral Graph Filters. - Omri Azencot, N. Benjamin Erichson, Mirela Ben-Chen, Michael W. Mahoney:
A Differential Geometry Perspective on Orthogonal Recurrent Models. - Maria Anna Schett, George Danezis:
Embedding a Deterministic BFT Protocol in a Block DAG. - Parham Gohari, Bo Chen, Bo Wu, Matthew T. Hale, Ufuk Topcu:
Privacy-Preserving Teacher-Student Deep Reinforcement Learning. - (Withdrawn) Within-Document Event Coreference with BERT-Based Contextualized Representations.
- Sowmen Das, Arup Datta, Md. Saiful Islam, Md. Ruhul Amin:
Improving DeepFake Detection Using Dynamic Face Augmentation. - Timour Igamberdiev, Ivan Habernal:
Privacy-Preserving Graph Convolutional Networks for Text Classification. - Pooja Rani:
Speculative Analysis for Quality Assessment of Code Comments. - Bo Wang, Yue Wu, Nemanja Vaci, Maria Liakata, Terry J. Lyons, Kate E. A. Saunders:
Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder. - Samuel Lanthaler, Siddhartha Mishra, George Em Karniadakis:
Error estimates for DeepOnets: A deep learning framework in infinite dimensions. - Wenjie Li, Adarsh Barik, Jean Honorio:
A Simple Unified Framework for High Dimensional Bandit Problems. - Elisa Donati, Renate Krause, Giacomo Indiveri:
Neuromorphic Pattern Generation Circuits for Bioelectronic Medicine. - Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis:
Efficient Distributed Auto-Differentiation. - Alvarez Lifeth:
Modeling epigenetic evolutionary algorithms: An approach based on the epigenetic regulation process. - Bibek Paudel, Abraham Bernstein:
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. - Mikhail A. Mishchenko, Denis I. Bolshakov, Alexander S. Vasin, Valery V. Matrosov, Ilya V. Sysoev:
Identification of Phase-Locked Loop System From Its Experimental Time Series. - Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. - Prasad N. R:
Attempted Blind Constrained Descent Experiments. - Theophile Thiery, Justin Ward:
Two-Sided Weak Submodularity for Matroid Constrained Optimization and Regression. - Benjamin Dubois-Taine, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Simon Lacoste-Julien:
SVRG Meets AdaGrad: Painless Variance Reduction. - Anna Kutschireiter, Luke I. Rast, Jan Drugowitsch:
Angular Path Integration by Projection Filtering with Increment Observations. - Zhiwei Shang, Simon Oya, Andreas Peter, Florian Kerschbaum:
Obfuscated Access and Search Patterns in Searchable Encryption. - Bryce L. Ferguson, Philip N. Brown, Jason R. Marden:
The Effectiveness of Subsidies and Tolls in Congestion Games. - Stephen Wolfram:
Combinators and the Story of Computation. - Oscar Mickelin, Sertac Karaman:
Recovering orthogonal tensors under arbitrarily strong, but locally correlated, noise. - Meng Qi, Mengxin Wang, Zuo-Jun Shen:
Smart Feasibility Pump: Reinforcement Learning for (Mixed) Integer Programming. - Tharindu Ranasinghe, Marcos Zampieri:
MUDES: Multilingual Detection of Offensive Spans. - Michael Roberts, Alexei Kopylov, Aleksey Nogin:
Semantics and Axiomatization for Stochastic Differential Dynamic Logic. - Tao Yang, Qingyao Ai:
Maximizing Marginal Fairness for Dynamic Learning to Rank. - Quynh Nguyen, Pierre Bréchet, Marco Mondelli:
On Connectivity of Solutions in Deep Learning: The Role of Over-parameterization and Feature Quality. - Alex Nichol, Prafulla Dhariwal:
Improved Denoising Diffusion Probabilistic Models. - Bodhisatwa Chatterjee, Sharjeel Khan, Santosh Pande:
Effective Cache Apportioning for Performance Isolation Under Compiler Guidance. - Berenike Vollmer:
NATOs Mission-Critical Space Capabilities under Threat: Cybersecurity Gaps in the Military Space Asset Supply Chain. - Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen:
Causal Inference Q-Network: Toward Resilient Reinforcement Learning. - Chien-Chung Huang, Theophile Thiery, Justin Ward:
Improved Multi-Pass Streaming Algorithms for Submodular Maximization with Matroid Constraints. - Diego Campos-Sobrino, Mario Campos Soberanis, Iván Martínez Chin, Víctor Uc-Cetina:
Fixing Errors of the Google Voice Recognizer through Phonetic Distance Metrics. - Róbert Ormándi, Mohammad Saleh, Erin Winter, Vinay Rao:
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web. - Yu Xing, Xingkang He, Haitao Fang, Karl Henrik Johansson:
Detecting Communities in a Gossip Model with Stubborn Agents. - Massimiliano Esposito, Nader Ganaba:
Convolutional Normalization. - Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. - Raghavendra Ramesh:
Algorithm for Cross-shard Cross-EE Atomic User-level ETH Transfer in Ethereum 2. - Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-Shot Performance of Language Models. - Xiaobin Xiong, Aaron D. Ames:
SLIP Walking over Rough Terrain via H-LIP Stepping and Backstepping-Barrier Function Inspired Quadratic Program. - Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos:
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making. - Zhongxiao Jia, Fa Wang:
A comparison of eigenvalue-based algorithms and the generalized Lanczos trust-region algorithm for Solving the trust-region subproblem. - Matthew Ciolino, Josh Kalin, David Noever:
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks. - Zheng Shi, Nicolas Loizou, Peter Richtárik, Martin Takác:
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods. - Aounon Kumar, Tom Goldstein:
Center Smoothing for Certifiably Robust Vector-Valued Functions. - Zhihan Xiong, Ruoqi Shen, Simon S. Du:
Randomized Exploration is Near-Optimal for Tabular MDP. - Adarsh Barik, Jean Honorio:
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. - Matthew Ciolino, David Noever, Josh Kalin:
Multilingual Augmenter: The Model Chooses. - Sherlock A. Licorish, Stephen G. MacDonell:
Combining Text Mining and Visualization Techniques to Study Teams' Behavioral Processes. - Rachit Nigam, Samuel Thomas, Zhijing Li, Adrian Sampson:
A Compiler Infrastructure for Accelerator Generators. - Haimin Chen, Yonggang Jiang, Chaodong Zheng:
Tight Trade-off in Contention Resolution without Collision Detection. - Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma:
Continual Learning for Blind Image Quality Assessment. - Shashank Rajput, Kangwook Lee, Dimitris S. Papailiopoulos:
Permutation-Based SGD: Is Random Optimal? - Robert M. Corless, Leili Rafiee Sevyeri, B. David Saunders:
Equivalences for Linearizations of Matrix Polynomials. - Seohyeong Jeong, Nojun Kwak:
Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer. - Frank Nielsen:
On a Variational Definition for the Jensen-Shannon Symmetrization of Distances based on the Information Radius. - Sherlock A. Licorish, Stephen G. MacDonell:
Personality Profiles of Global Software Developers. - Neeraj Kumar, Srishti Goel, Ankur Narang, Brejesh Lall, Hasan Mujtaba, Pranshu Agarwal, Dipankar Sarkar:
One Shot Audio to Animated Video Generation. - Zhonggang Zeng:
On the sensitivity of singular and ill-Conditioned linear systems. - Junxiong Jia, Deyu Meng:
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems. - Muhammad Uzair-Ul-Haq, Ali Ahmed, Zartasha Mustansar, Arslan Shaukat, Lee Margetts, Asim Waris, Faizan Nadeem:
Analysis of Growing Tumor on the Flow Velocity of Cerebrospinal Fluid in Human Brain Using Computational Modeling and Fluid-Structure Interaction. - Filip Hanzely, Boxin Zhao, Mladen Kolar:
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques. - Zakria, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab, Jingye Cai, Rajesh Kumar, Jay Kumar:
Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review. - Antoine Grosnit, Desmond Cai, Laura Wynter:
Decentralized Deterministic Multi-Agent Reinforcement Learning. - Shengcheng Yu, Chunrong Fang, Zhenfei Cao, Xu Wang, Tongyu Li, Zhenyu Chen:
Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding. - Anshul Wadhawan:
Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT. - Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi:
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. - Ismat Jarin, Birhanu Eshete:
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting. - Yang Liu, Meagan S. Mauter:
Marginal energy intensity of water supply. - Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg:
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation. - Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli:
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. - Bin Li, Hong Fu, Ruimin Li, Wendi Wang:
Serial-parallel Multi-Scale Feature Fusion for Anatomy-Oriented Hand Joint Detection. - Nishant Kumar, Martin Raubal:
Applications of deep learning in traffic congestion alleviation: A survey. - Tom Hope, Ronen Tamari, Hyeonsu B. Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf:
Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas. - Shuai Yu, Xiaoheng Sun, Yi Yu, Wei Li:
Frequency-Temporal Attention Network for Singing Melody Extraction. - Dongsong Yu, Guangliang Yang, Guozhu Meng, Xiaorui Gong, Xiu Zhang, Xiaobo Xiang, Xiaoyu Wang, Yue Jiang, Kai Chen, Wei Zou, Wenke Lee, Wenchang Shi:
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization. - Xuecheng Liu, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
On the Similarity between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications. - Honghua Zhang, Brendan Juba, Guy Van den Broeck:
Probabilistic Generating Circuits. - Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry:
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. - Ruyuan Qu, Jiaqi He, Hui Feng, Chongbin Xu, Bo Hu:
Regularized Recovery by Multi-order Partial Hypergraph Total Variation. - Elif Tugce Ceran, Deniz Gündüz, András György:
A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ. - Tao Xiao, Dong Wang, Shane McIntosh, Hideaki Hata, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
Characterizing and Mitigating Self-Admitted Build Debt. - Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, Michael Krauthammer:
Progressive Transformer-Based Generation of Radiology Reports. - Jingyi Wang, Zhidong Deng:
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification. - Xiangyun Meng, Yu Xiang, Dieter Fox:
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation. - ChaeHun Park, Sangwoo Seo:
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation. - Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama:
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound. - Joseph Hallett, Nikhil Patnaik, Benjamin Shreeve, Awais Rashid:
"Do this! Do that!, And nothing will happen" Do specifications lead to securely stored passwords? - Shaohua Li, Marcin Pilipczuk:
Hardness of Metric Dimension in Graphs of Constant Treewidth. - Pei Huang, Marco Lovati, Xingxing Zhang, Chris Bales:
A coordinated control to improve performance for a building cluster with energy storage, electric vehicles, and energy sharing considered. - Zixun Guo, Dimos Makris, Dorien Herremans:
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure. - Xinru Wang, Liang Xia, Chris Bales, Xingxing Zhang, Benedetta Copertaro, Song Pan, Jinshun Wu:
A systematic review of recent air source heat pump (ASHP) systems assisted by solar thermal, photovoltaic and photovoltaic/thermal sources. - Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow:
Training Neural Networks is ER-complete. - Behrooz Khadem, Saeed Rajavzade:
Construction of Side Channel Attacks Resistant S-boxes using Genetic Algorithms based on Coordinate Functions. - Ross Cutler, Yasaman Hosseinkashi, Jamie Pool, Senja Filipi, Robert Aichner, Yuan Tu, Johannes Gehrke:
Meeting Effectiveness and Inclusiveness in Remote Collaboration. - Sebastian Bock, Martin Georg Weiß:
Local Convergence of Adaptive Gradient Descent Optimizers. - Seyed Meysam Zarei, Reza Fotohi:
Defense against flooding attacks using probabilistic thresholds in the internet of things ecosystem. - Michael L. Iuzzolino, Michael C. Mozer, Samy Bengio:
Training cascaded networks for speeded decisions using a temporal-difference loss. - Piotr Krasnowski, Jérôme Lebrun, Bruno Martin:
Introducing an experimental distortion-tolerant speech encryption scheme for secure voice communication. - Qinghua Lu, Xiwei Xu, H. M. N. Dilum Bandara, Shiping Chen, Liming Zhu:
Design Patterns for Blockchain-Based Payment Applications. - Jan Zapletal, Raphael Watschinger, Günther Of, Michal Merta:
Semi-analytic integration for a parallel space-time boundary element method modeling the heat equation. - Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus:
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. - Stefan Ciprian Voinea, Stefan Vladov, Fabian Rensing:
CoronaZ: another distributed systems project. - Houjun Huang, Xu Xiang, Fei Zhao, Shuai Wang, Yanmin Qian:
Unit selection synthesis based data augmentation for fixed phrase speaker verification. - Yi-Jun Chang, Mohsen Ghaffari:
Strong-Diameter Network Decomposition. - Reinier H. J. Schouten, Lars Moormann, Joanna M. van de Mortel-Fronczak, Jacobus E. Rooda:
Synthesis and Implementation of Distributed Supervisory Controllers with Communication Delays. - Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
A Higher-Order Generalized Singular Value Decomposition for Rank Deficient Matrices. - Frédéric Bour, Basile Clément, Gabriel Scherer:
Tail Modulo Cons. - Andreas Schuderer, Stefano Bromuri, Marko C. J. D. van Eekelen:
Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models. - Houjun Huang, Xu Xiang, Yexin Yang, Rao Ma, Yanmin Qian:
AISPEECH-SJTU accent identification system for the Accented English Speech Recognition Challenge. - Duc Minh Le, Suhrid Karthik, Marcelo Schmitt Laser, Nenad Medvidovic:
Architectural Decay as Predictor of Issue- and Change-Proneness. - Till Hofmann, Gerhard Lakemeyer:
Controller Synthesis for Golog Programs over Finite Domains with Metric Temporal Constraints. - Wanda Zhao, Anatol Pashkevich, Alexandr Klimchik, Damien Chablat:
Kinematic Control of compliant serial manipulators composed of dual-triangles. - Victor Garcia Satorras, Emiel Hoogeboom, Max Welling:
E(n) Equivariant Graph Neural Networks. - Juan González, Fernando Boronat, Almanzor Sapena, Javier Pastor:
Key Technologies for Networked Virtual Environments: A new taxonomy. - Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau:
Model-Invariant State Abstractions for Model-Based Reinforcement Learning. - Nicolas Duminy, Sao Mai Nguyen, Junshuai Zhu, Dominique Duhaut, Jérôme Kerdreux:
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy. - Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen:
Differential Privacy-based Permissioned Blockchain for Private Data Sharing in Industrial IoT. - Kanggeun Lee, Won-Ki Jeong:
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. - Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi:
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. - Varsha M. Pathak, Manish R. Joshi, Prasad Joshi, Monica Mundada, Tanmay Joshi:
KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text. - Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang:
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition. - Abeynaya Gnanasekaran, Eric Darve:
Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. - Alexander Felfernig, Rouven Walter, José A. Galindo, David Benavides, Seda Polat Erdeniz, Muesluem Atas, Stefan Reiterer:
Anytime Diagnosis for Reconfiguration. - George Eskandar, Alexander Braun, Martin Meinke, Karim Armanious, Bin Yang:
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving. - Ehsan Zabardast, Javier Gonzalez-Huerta, Tony Gorschek, Darja Smite, Emil Alégroth, Fabian Fagerholm:
Asset Management Taxonomy: A Roadmap. - Sijie Li, Rawad Bitar, Sidharth Jaggi, Yihan Zhang:
Network Coding with Myopic Adversaries. - Sushmita Gupta, Pallavi Jain, Fahad Panolan, Sanjukta Roy, Saket Saurabh:
Gerrymandering on graphs: Computational complexity and parameterized algorithms. - Felix Wiewel, Bin Yang:
Condensed Composite Memory Continual Learning. - Jia Bi, Steve R. Gunn:
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization. - Muneer Ahmad, M. Sadik Batcha:
Mapping of Publications Productivity on Journal of Documentation 1989-2018: A Study Based on Clarivate Analytics-Web of Science Database. - Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays. - Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu, Anthony G. Cohn:
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. - Muneer Ahmad, M. Sadik Batcha:
Identifying and Mapping the Global Research Output on Coronavirus Disease: A Scientometric Study. - Ethan Bommarito, Michael J. Bommarito II:
An Empirical Analysis of the R Package Ecosystem. - Lotfi Ben Othmane, Ameerah-Muhsina Jamil:
Self-Confidence of Undergraduate Students in Designing Software Architecture. - Roope Vehkalahti, Laura Luzzi:
The DMT of Real and Quaternionic Lattice Codes and DMT Classification of Division Algebra Codes. - Brooke Stephenson, Thomas Hueber, Laurent Girin, Laurent Besacier:
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input. - Louis Cheung, Liam O'Connor, Christine Rizkallah:
Overcoming Restraint: Modular Refinement using Cogent's Principled Foreign Function Interface. - Caroline Mattes, Armin Weiß:
Parallel algorithms for power circuits and the word problem of the Baumslag group. - Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. - Patrick Cheridito, Arnulf Jentzen, Adrian Riekert, Florian Rossmannek:
A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions. - Matteo Pagin, Tommaso Zugno, Michele Polese, Michele Zorzi:
Resource Management for 5G NR Integrated Access and Backhaul: a Semi-centralized Approach. - Martin Burghart, Julie Lorraine O'Sullivan, Robert P. Spang, Jan-Niklas Voigt-Antons:
DemSelf, a Mobile App for Self-Administered Touch-Based Cognitive Screening: Participatory Design With Stakeholders. - Anshul Wadhawan, Akshita Aggarwal:
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based Approach. - Alexander Chunikhin:
Fundamentals of Semantic Numeration Systems. Can the Context be Calculated? - Sajib Mistry, Athman Bouguettaya, Lie Qu:
Layer-based Composite Reputation Bootstrapping. - Huynh Thi Thanh Binh, Ta Bao Thang, Nguyen Duc Thai, Pham Dinh Thanh:
A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization. - Michael D. Multerer, Simone Pezzuto:
Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach. - Simon Brenner, Robert Sablatnig:
Subjective Assessments of Legibility in Ancient Manuscript Images - The SALAMI Dataset. - Adrien Corenflos, Zheng Zhao, Simo Särkkä:
Gaussian Process Regression in Logarithmic Time. - Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi:
An Enhanced Corpus for Arabic Newspapers Comments. - Xuchen Song, Qiuqiang Kong, Xingjian Du, Yuxuan Wang:
CatNet: music source separation system with mix-audio augmentation. - Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan:
Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. - Qiuqiang Kong, Haohe Liu, Xingjian Du, Li Chen, Rui Xia, Yuxuan Wang:
Speech enhancement with weakly labelled data from AudioSet. - Noam Razin, Asaf Maman, Nadav Cohen:
Implicit Regularization in Tensor Factorization. - Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara:
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections. - Luisa Roa, Andrés Rodríguez-Rey, Alejandro Correa Bahnsen, Carlos F. Valencia:
Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data. - Xiaozhou Li, Sergio Moreschini, Zheying Zhang, Davide Taibi:
Exploring Factors and Measures to Select Open Source Software. - Zining Zhang, Bingsheng He, Zhenjie Zhang:
TransMask: A Compact and Fast Speech Separation Model Based on Transformer. - Maximilian Bachl, Joachim Fabini, Tanja Zseby:
A flow-based IDS using Machine Learning in eBPF. - Anvesh Rao Vijjini, Kaveri Anuranjana, Radhika Mamidi:
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes. - Sohom Ghosh, Ankush Chopra:
Using Transformer based Ensemble Learning to classify Scientific Articles. - Neo C. K. Yiu:
An Overview of Forks and Coordination in Blockchain Development. - Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang:
Analytics and Machine Learning in Vehicle Routing Research. - Erva Ulu, Nurcan Gecer Ulu, Jiahao Li, Walter Hsiao:
Curvy: An Interactive Design Tool for Varying Density Support Structures. - Dmitri Goldenberg:
Social Network Analysis: From Graph Theory to Applications with Python. - Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming. - Beren Millidge, Alexander Tschantz, Anil K. Seth, Christopher L. Buckley:
Neural Kalman Filtering. - Hossein Kazemi, Elham Sarbazi, Mohammad Dehghani Soltani, Majid Safari, Harald Haas:
A Tb/s Indoor MIMO Optical Wireless Backhaul System Using VCSEL Arrays. - Daniel Russo, Assaf Zeevi, Tianyi Zhang:
Learning to Stop with Surprisingly Few Samples. - Michal Koucký, Karel Král:
Sorting Short Integers. - Lang Feng, Jiayi Huang, Jeff Huang, Jiang Hu:
Toward Taming the Overhead Monster for Data-Flow Integrity. - Ting-Yao Hu, Alexander G. Hauptmann:
Pose Guided Person Image Generation with Hidden p-Norm Regression. - Nicolas Duczek, Matthias Kerzel, Stefan Wermter:
Continual Learning from Synthetic Data for a Humanoid Exercise Robot. - Georgiana Caltais, Hossein Hojjat, Mohammad Reza Mousavi, Hünkar Can Tunç:
DyNetKAT: An Algebra of Dynamic Networks. - Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. - Benjamin Green, William Knowles, Marina Krotofil, Richard Derbyshire, Daniel Prince, Neeraj Suri:
PCaaD: Towards Automated Determination and Exploitation of Industrial Processes. - Hao-Yuan Chang:
A Projection Algorithm for the Unitary Weights. - Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. - Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani:
MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks. - Nicholas Glaze, T. Mitchell Roddenberry, Santiago Segarra:
Principled Simplicial Neural Networks for Trajectory Prediction. - Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, William L. Hamilton:
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. - Derya Aksaray, Yasin Yazicioglu, Ahmet Semi Asarkaya:
Probabilistically Guaranteed Satisfaction of Temporal Logic Constraints During Reinforcement Learning. - Mojtaba Barzegari, Di Mei, Sviatlana V. Lamaka, Liesbet Geris:
Computational modeling of degradation process of biodegradable magnesium biomaterials. - Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Frassetto Nogueira:
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. - Tooba Tehreem:
Sentiment Analysis for YouTube Comments in Roman Urdu. - Adir Morgan, Shay Solomon, Nicole Wein:
Simple Combinatorial Algorithms for the Minimum Dominating Set Problem in Bounded Arboricity Graphs. - Yi Zhu, Evgueni T. Filipov:
Rapid Multi-Physics Simulation for Electro-Thermal Origami Robotic Systems. - Debjoy Saha, Naman Paharia, Debajit Chakraborty, Punyajoy Saha, Animesh Mukherjee:
Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection. - Yibo Yang, Antoine Blanchard, Themistoklis P. Sapsis, Paris Perdikaris:
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs. - Julia Navarro, Neus Sabater:
Compact and adaptive multiplane images for view synthesis. - Monika Singh:
Essential Characteristics of Approximate matching algorithms: A Survey of Practitioners Opinions and requirement regarding Approximate Matching. - Thorsten Ruprechter, Manoel Horta Ribeiro, Tiago Santos, Florian Lemmerich, Markus Strohmaier, Robert West, Denis Helic:
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions. - William Merrill:
Formal Language Theory Meets Modern NLP. - Kunnath Ranjith:
Spectral formulation of the boundary integral equation method for antiplane problems. - Patricia Bouyer, Youssouf Oualhadj, Mickael Randour, Pierre Vandenhove:
Arena-Independent Finite-Memory Determinacy in Stochastic Games. - Mehdi Azabou, Mohammad Gheshlaghi Azar, Ran Liu, Chi-Heng Lin, Erik C. Johnson, Kiran Bhaskaran-Nair, Max Dabagia, Keith B. Hengen, William R. Gray Roncal, Michal Valko, Eva L. Dyer:
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction. - Bowen Zhao, Ximeng Liu, Wei-neng Chen:
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System. - Eduard Kamburjan, Marco Scaletta, Nils Rollshausen:
Crowbar: Behavioral Symbolic Execution for Deductive Verification of Active Objects. - Shabbir Ahmed, Marcio Juliato, Christopher Gutierrez, Manoj R. Sastry:
Two-Point Voltage Fingerprinting: Increasing Detectability of ECU Masquerading Attacks. - Abdul Azeem Sikander, Hamza Ali:
Image Classification using CNN for Traffic Signs in Pakistan. - David Buterez:
Efficient approximation of DNA hybridisation using deep learning. - Leny Vinceslas, Hirsh Pithadia, Safak Dogan, Srikumar Sundareshwar, Ahmet M. Kondoz:
Abstracting data in distributed ledger systems for higher level analytics and visualizations. - Erik Agrell, Marco Secondini, Alex Alvarado, Tsuyoshi Yoshida:
Performance Prediction Recipes for Optical Links. - Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo:
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning. - Dimitrios Michael Manias, Abdallah Shami:
Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems. - Pierre Baldi, Roman Vershynin:
A theory of capacity and sparse neural encoding. - Guolong Zheng, ThanhVu Nguyen, Simón Gutiérrez Brida, Germán Regis, Marcelo F. Frias, Nazareno Aguirre, Hamid Bagheri:
FLACK: Counterexample-Guided Fault Localization for Alloy Models. - You Zu, Krishnamurthy Iyer, Haifeng Xu:
Learning to Persuade on the Fly: Robustness Against Ignorance. - Brittany Froese Hamfeldt, Jacob Lesniewski:
A convergent finite difference method for computing minimal Lagrangian graphs. - Emmanouil Stergiadis, Satendra Kumar, Fedor Kovalev, Pavel Levin:
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging. - Sean Butler:
Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots. - Sahasrajit Sarmasarkar, V. Lalitha, Nikhil Karamchandani:
On Gradient Coding with Partial Recovery. - Chinmay Gurjarpadhye, Shubhang Bhatnagar, Ajit Rajwade:
Analyzing Cross Validation In Compressed Sensing With Mixed Gaussian And Impulse Measurement Noise With L1 Errors. - Parisa Karimi, Mark D. Butala, Zhizhen Zhao, Farzad Kamalabadi:
Spatial-temporal switching estimators for imaging locally concentrated dynamics. - Yu Zhu, Boning Li, Santiago Segarra:
Co-clustering Vertices and Hyperedges via Spectral Hypergraph Partitioning. - Italo Atzeni, Antti Tölli:
Channel Estimation and Data Decoding Analysis of Massive MIMO with 1-Bit ADCs. - Greg Bodwin, Merav Parter:
Restorable Shortest Path Tiebreaking for Edge-Faulty Graphs. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Conditional Adversarial Networks for Multi-Domain Text Classification. - Yoan Géran, Bastien Laboureix, Corto Mascle, Valentin D. Richard:
Les claviers, un modèle de calcul. - Zhihan Guo, Xinyu Zeng, Ziwei Ren, Xiangyao Yu:
Cornus: One-Phase Commit for Cloud Databases with Storage Disaggregation. - Clément Playout, Ola Ahmad, Freddy Lécué, Farida Cheriet:
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems. - Satyabrata Sarangi, Bevan M. Baas:
DeepScaleTool : A Tool for the Accurate Estimation of Technology Scaling in the Deep-Submicron Era. - Romain Cosson, Devavrat Shah:
Approximating the Log-Partition Function. - Donald Q. Adams, Adarsh Barik, Jean Honorio:
Information-Theoretic Bounds for Integral Estimation. - Cindy Trinh, Richard Combes:
A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information. - Yuzhuo Ren, Feng Hu:
Camera Calibration with Pose Guidance. - Michael Günther, Adrian Sandu:
Multirate Linearly-Implicit GARK Schemes. - Puoya Tabaghi, Eli Chien, Chao Pan, Olgica Milenkovic:
Linear Classifiers in Mixed Constant Curvature Spaces. - Yongqian Xiao, Xin Xu, Qianli Lin:
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels. - Athanasios Papadopoulos, Pawel Korus, Nasir D. Memon:
Hard-Attention for Scalable Image Classification. - Shamin Achari, Daniel Glenn Holmes, Ling Cheng:
Symbol-Level Synchronisation Channel Modelling With Real-World Application: From Davey-Mackay, Fritchman to Markov. - Seyedehsara Nayer, Namrata Vaswani:
Fast and Sample-Efficient Federated Low Rank Matrix Recovery from Column-wise Linear and Quadratic Projections. - Jianyu Xu, Yu-Xiang Wang:
Logarithmic Regret in Feature-based Dynamic Pricing. - Josué Acevedo Maldonado:
Merly.jl: Web Framework in Julia. - Abbas Khalili, Sundeep Rangan, Elza Erkip:
On Single-User Interactive Beam Alignment in Next Generation Systems: A Deep Learning Viewpoint. - Radhen Patel, Rui Ouyang, Branden Romero, Edward H. Adelson:
Digger Finger: GelSight Tactile Sensor for Object Identification Inside Granular Media. - Ahmed Shifaz, Charlotte Pelletier, François Petitjean, Geoffrey I. Webb:
Elastic Similarity Measures for Multivariate Time Series Classification. - Xian Shi, Fan Yu, Yizhou Lu, Yuhao Liang, Qiangze Feng, Daliang Wang, Yanmin Qian, Lei Xie:
The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods. - Xulong Zhang, Jiale Qian, Yi Yu, Yifu Sun, Wei Li:
Singer Identification Using Deep Timbre Feature Learning with KNN-Net. - Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang:
Learning Neural Generative Dynamics for Molecular Conformation Generation. - Haoming Jiang, Bo Dai, Mengjiao Yang, Wei Wei, Tuo Zhao:
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. - Thuy Vu, Alessandro Moschitti:
Machine Translation Customization via Automatic Training Data Selection from the Web. - Fangneng Zhan, Yingchen Yu, Rongliang Wu, Changgong Zhang, Shijian Lu, Ling Shao, Feiying Ma, Xuansong Xie:
GMLight: Lighting Estimation via Geometric Distribution Approximation. - Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi:
ALTO: Adaptive Linearized Storage of Sparse Tensors. - Thuy Vu, Alessandro Moschitti:
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner. - Michael Cerny Green, Ahmed Khalifa, Philip Bontrager, Rodrigo Canaan, Julian Togelius:
Game Mechanic Alignment Theory and Discovery. - Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. - Thuy Vu, Alessandro Moschitti:
Multilingual Answer Sentence Reranking via Automatically Translated Data. - Hadi Jahanshahi, Mustafa Gökçe Baydogan:
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series. - Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Control of Nonlinear Systems via Barrier States. - Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Persistence Homology for Link Prediction: An Interactive View. - Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou:
Generalized Non-adaptive Group Testing. - Jianing Fang, Chuheng Hu, Nour Smaoui, Douglas Carlson, Jayant Gupchup, Razvan Musaloiu-Elefteri, Chieh-Jan Mike Liang, Marcus Chang, Omprakash Gnawali, Tamas Budavari, Andreas Terzis, Katalin Szlavecz, Alexander S. Szalay:
Wireless sensor network for in situ soil moisture monitoring. - Christos H. Papadimitriou, Tristan Pollner, Amin Saberi, David Wajc:
Online Stochastic Max-Weight Bipartite Matching: Beyond Prophet Inequalities. - Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. - Shuchi Tripathi, Nithin V. Sabu, Abhishek K. Gupta, Harpreet S. Dhillon:
Millimeter-wave and Terahertz Spectrum for 6G Wireless. - Zhi Zhang, Yueqiang Cheng, Minghua Wang, Wei He, Wenhao Wang, Surya Nepal, Yansong Gao, Kang Li, Zhe Wang, Chenggang Wu:
SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh. - Rui Wang, Robin Walters, Rose Yu:
Meta-Learning Dynamics Forecasting Using Task Inference. - Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng, Ling Shao:
Concealed Object Detection. - Atharva Kulkarni, Amey Hengle, Rutuja Udyawar:
An Attention Ensemble Approach for Efficient Text Classification of Indian Languages. - Sho Sakaino, Kazuki Fujimoto, Yuki Saigusa, Toshiaki Tsuji:
Imitation Learning for Variable Speed Object Manipulation. - Chenglin Pan, Kuan Yan, Xiao Liu, Yanjie Chen, Yanyan Luo, Xiaoming Li, Zhenguo Nie, Xinjun Liu:
Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients. - (Withdrawn) Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images.
- Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng:
Recurrent Model Predictive Control. - Luca Lugini, Diane J. Litman:
Contextual Argument Component Classification for Class Discussions. - Luca Lugini, Christopher Olshefski, Ravneet Singh, Diane J. Litman, Amanda Godley:
Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms. - Markus Kettunen, Eugene d'Eon, Jacopo Pantaleoni, Jan Novák:
An unbiased ray-marching transmittance estimator. - Seyedali Meghdadi, Guido Tack, Ariel Liebman, Nicolas Langrené, Christoph Bergmeir:
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning. - Borui Miao, Giovanni Russo, Zhennan Zhou:
A novel spectral method for the semi-classical Schrödinger equation based on the Gaussian wave-packet transform. - Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. - Tao Yang, Xuanchi Ren, Yuwang Wang, Wenjun Zeng, Nanning Zheng, Pengju Ren:
GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement. - E. Illarionov, Pavel Temirchev, Dmitry Voloskov, Ruslan Kostoev, Maxim Simonov, Dimitri Pissarenko, Denis M. Orlov, Dmitri A. Koroteev:
End-to-end neural network approach to 3D reservoir simulation and adaptation. - Michael Pantic, Lionel Ott, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles. - Giacomo Giuliari, Marc Wyss, Markus Legner, Adrian Perrig:
GMA: A Pareto Optimal Distributed Resource-Allocation Algorithm. - Lei Li, Yongfeng Zhang, Li Chen:
EXTRA: Explanation Ranking Datasets for Explainable Recommendation. - Sharareh Alipour:
On guarding polygons with holes. - Yuanqiu Mo, Soura Dasgupta, Jacob Beal:
Stability and Resilience of Distributed Information Spreading in Aggregate Computing. - Mohammad Keshavarzi, Mohammad Rahmani Asl:
GenFloor: Interactive Generative Space Layout System via Encoded Tree Graphs. - Christoph Capellaro:
Design of Ciphers based on the Geometric Structure of the Möbius Plane. - Xuechen Liu, Md. Sahidullah, Tomi Kinnunen:
Learnable MFCCs for Speaker Verification. - Ludovico Iovino, Phuong Thanh Nguyen, Amleto Di Salle, Francesco Gallo, Michele Flammini:
Unavailable Transit Feed Specification: Making it Available with Recurrent Neural Networks. - Jakob Runge:
Necessary and sufficient conditions for optimal adjustment sets in causal graphical models with hidden variables. - Davide Bianchi, Alessandro Buccini, Marco Donatelli, Emma Randazzo:
Graph Laplacian for image deblurring. - Roberta Raileanu, Rob Fergus:
Decoupling Value and Policy for Generalization in Reinforcement Learning. - Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification. - Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar:
Physical Reasoning Using Dynamics-Aware Models. - Haimin Zhang, Min Xu:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks. - Radu Dogaru, Ioana Dogaru:
A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. - Jasper De Bock, Gert de Cooman:
On a notion of independence proposed by Teddy Seidenfeld. - Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang:
Going Far Boosts Attack Transferability, but Do Not Do It. - Dengji Zhao:
Mechanism Design Powered by Social Interactions. - Bryce Doerr, Keenan Albee, Monica Ekal, Richard Linares, Rodrigo M. M. Ventura:
Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly. - Kweku Kwegyir-Aggrey, Rebecca Santorella, Sarah M. Brown:
Everything is Relative: Understanding Fairness with Optimal Transport. - Daniele Bigoni, Youssef M. Marzouk, Clémentine Prieur, Olivier Zahm:
Nonlinear dimension reduction for surrogate modeling using gradient information. - Michel Rottleuthner, Thomas C. Schmidt, Matthias Wählisch:
FlexClock: Generic Clock Reconfiguration for Low-end IoT Devices. - Antoine Richard, Stéphanie Aravecchia, Thomas Schillaci, Matthieu Geist, Cédric Pradalier:
How To Train Your HERON. - Anton I. Glushchenko, Vladislav A. Petrov, Konstantin A. Lastochkin:
Regression Filtration with Resetting to Provide Exponential Convergence of MRAC for Plants with Jump Change of Unknown Parameters. - Thomas Spooner, Nelson Vadori, Sumitra Ganesh:
Causal Policy Gradients. - Zeju Li, Konstantinos Kamnitsas, Ben Glocker:
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation. - Erich Grädel, Phil Pützstück:
Logics of Dependence and Independence: The Local Variants. - Tuan Anh Nguyen, Anh Tuan Tran:
WaNet - Imperceptible Warping-based Backdoor Attack. - Zihan Li, Chen Li, Yudong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang:
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks. - Chaochao Li, Mingliang Xu:
Hybrid-driven Trajectory Prediction Based on Group Emotion. - Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai:
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images. - Duc-Quang Vu, Ngan Le, Jia-Ching Wang:
Self-Supervised Learning via multi-Transformation Classification for Action Recognition. - Florian Dandl, Roman Engelhardt, Michael Hyland, Gabriel Tilg, Klaus Bogenberger, Hani S. Mahmassani:
Regulating Mobility-on-Demand Services: Tri-level Model and Bayesian Optimization Solution Approach. - Nalin Chhibber, Edith Law:
Towards Teachable Conversational Agents. - Hao Feng, Cláudio Gomes, Casper Thule, Kenneth Lausdahl, Michael Sandberg, Peter Gorm Larsen:
The Incubator Case Study for Digital Twin Engineering. - Abdeslem Hafid Bentbib, Anas El Hachimi, Khalide Jbilou, Ahmed Ratnani:
On the tensor nuclear norm and the total variation regularization for image and video completion. - Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit:
On Calibration and Out-of-domain Generalization. - Anshu Mukherjee, Björn E. Ottersten, Le-Nam Tran:
Efficient Numerical Methods for Secrecy Capacity of Gaussian MIMO Wiretap Channel. - Vijay Lingam, Arun Iyer, Rahul Ragesh:
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. - Hui Zhou, Yansha Deng, Luca Feltrin, Andreas Höglund:
Analyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission. - Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. - Ioannis P. A. Papadopoulos, Endre Süli:
Numerical analysis of a topology optimization problem for Stokes flow. - Johar Shabbir, Muhammad Umair Arshad, Waseem Shahzad:
NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu. - Petr Jancar, Jirí Síma:
Simplest Non-Regular Deterministic Context-Free Language. - James Zachary Woodruff, Kevin M. Lynch:
Robotic Contact Juggling. - Amir Yazdanbakhsh, Kiran Seshadri, Berkin Akin, James Laudon, Ravi Narayanaswami:
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks. - Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis:
GIST: Distributed Training for Large-Scale Graph Convolutional Networks. - Tiago Espinha Gasiba, Ulrike Lechner, Maria Pinto-Albuquerque, Anmoal Porwal:
Cybersecurity Awareness Platform with Virtual Coach and Automated Challenge Assessment. - Tiago Espinha Gasiba, Ulrike Lechner:
Raising Secure Coding Awareness for Software Developers in the Industry. - Tiago Espinha Gasiba, Ulrike Lechner, Maria Pinto-Albuquerque:
CyberSecurity Challenges: Serious Games for Awareness Training in Industrial Environments. - Yonghong Bai, Zhiyuan Yan:
A Novel Key Generation Scheme Using Quaternary PUF Responses and Wiretap Polar Coding. - Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha:
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks. - Tiago Espinha Gasiba, Samra Hodzic, Ulrike Lechner, Maria Pinto-Albuquerque:
Raising Security Awareness using Cybersecurity Challenges in Embedded Programming Courses. - Marzieh Fadaee:
Understanding and Enhancing the Use of Context for Machine Translation. - Mihail Burduja, Radu Tudor Ionescu:
Unsupervised Medical Image Alignment with Curriculum Learning. - Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: Conformal test martingales for change-point detection. - Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. - Pankaj Khanchandani, Roger Wattenhofer:
Byzantine Agreement with Unknown Participants and Failures. - Mónika Farsang, Luca Szegletes:
Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment. - Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the effects of delay and task type on everyday prospective memory. - Zhilong Wang, Li Yu, Suhang Wang, Peng Liu:
Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis. - Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. - Mónika Farsang, Luca Szegletes:
Decaying Clipping Range in Proximal Policy Optimization. - Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic:
Trumpets: Injective Flows for Inference and Inverse Problems. - Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. - Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin:
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. - Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. - Christian Coester, Elias Koutsoupias:
Towards the k-server conjecture: A unifying potential, pushing the frontier to the circle. - Sebastian Fix, Thomas Probst, Oliver Ruggli, Thomas Hanne, Patrik Christen:
Automatic Programming Through Combinatorial Evolution. - Santiago R. Balseiro, Christian Kroer, Rachitesh Kumar:
Contextual First-Price Auctions with Budgets. - Fubao Zhu, Zhengyuan Gao, Chen Zhao, Hanlei Zhu, Yong Dong, Jingfeng Jiang, Neng Dai, Weihua Zhou:
A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. - Soham Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar:
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation. - Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait:
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data. - Daniel M. Wong, Batu K. Chalise, Justin G. Metcalf, Moeness G. Amin:
Information Decoding and SDR Implementation of DFRC Systems Without Training Signals. - Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan:
Weak NAS Predictors Are All You Need. - Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian:
Learning Deep Features for Shape Correspondence with Domain Invariance. - Shova Bhandari, Rini Raju:
Social Networks Analysis to Retrieve Critical Comments on Online Platforms. - Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. - Sang Hun Lee, Se-One Yoon:
User interface for in-vehicle systems with on-wheel finger spreading gestures and head-up displays. - Wanqing Guan, Haijun Zhang, Victor C. M. Leung:
Customized Slicing for 6G: Enforcing Artificial Intelligence on Resource Management. - Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Mamunur Rahaman, Yudong Yao, Xiaoyan Li, Yong Zhang, Tao Jiang:
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification. - Rohan Sarkar, Avinash C. Kak:
CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces. - Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Sanping Zhou, Wenqi Ren:
Progressive Depth Learning for Single Image Dehazing. - Pratibha Kumari, Mukesh Saini:
Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding. - Palash Sarkar, Zilong Liu, Sudhan Majhi:
A Direct Construction of Complete Complementary Codes With Arbitrary Lengths. - Mohammad S. Golsorkhi, Raziyeh Mosayebi, Maryam A. Hejazi, Gevorg B. Gharehpetian, Hamid Sheikhzadeh:
Detection of Transformer Winding Axial Displacement by Kirchhoff and Delay and sum Radar Imaging Algorithms. - Ajayi Ekuase-Anwansedo, Susannah F. Craig, Jose Noguera:
How to Survive a Learning Management System (LMS) Implementation? A Stakeholder Analysis Approach. - Ajayi Ekuase-Anwansedo, Akai Smith:
Effect of Cloud Based Learning Management System on The Learning Management System Implementation Process: Faculty and Student Perspectives. - Ajayi Ekuase-Anwansedo, Jose Noguera, Brandon Dumas:
Transitioning from Blackboard to Moodle amidst Natural Disaster: Faculty and Students Perceptions. - Yu Fu, Xiao-Jun Wu, Josef Kittler:
A Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion. - Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue:
Delayed Rewards Calibration via Reward Empirical Sufficiency. - Kotaro Furuya, Jun Ohkubo:
STDP enhances learning by backpropagation in a spiking neural network. - Souvik Roy, Milan Mukherjee, Priyadarsini Sinha, Sukanta Das, Subhasis Bandopadhyay, Abhik Mukherjee:
Exploring the dynamics of protest against National Register of Citizens & Citizenship Amendment Act through online social media: the Indian experience. - Michael J. Maher:
Relative Expressiveness of Defeasible Logics II. - Owen Kunhardt, Arturo Deza, Tomaso A. Poggio:
The Effects of Image Distribution and Task on Adversarial Robustness. - Luis Perez, Lizi Ottens, Sudharshan Viswanathan:
Automatic Code Generation using Pre-Trained Language Models. - Marcin Waniek, Manuel Cebrián, Petter Holme, Talal Rahwan:
Social Diffusion Sources Can Escape Detection. - Luis Perez:
Mastering Terra Mystica: Applying Self-Play to Multi-agent Cooperative Board Games. - Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng:
Do Generative Models Know Disentanglement? Contrastive Learning is All You Need. - Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng:
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement. - Kento Tomita, Katherine A. Skinner, Koki Ho:
Uncertainty-Aware Deep Learning for Autonomous Safe Landing Site Selection. - Chuchu Chen, Jialin Hong, Lihai Ji:
A new efficient operator splitting method for stochastic Maxwell equations. - Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li:
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network. - Animesh Tiwari, Rishabh Gupta, Rohitash Chandra:
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown. - Chen Li, Xintong Li, Md Mamunur Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek:
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches. - Shafkat Farabi, Hasibul Haque Himel, Fakhruddin Gazzali, Md. Bakhtiar Hasan, Md. Hasanul Kabir, Moshiur Farazi:
Improving Action Quality Assessment using ResNets and Weighted Aggregation. - Andrew Cropper, Sebastijan Dumancic, Richard Evans, Stephen H. Muggleton:
Inductive logic programming at 30. - Nam Nguyen, J. Morris Chang:
Contrastive Self-supervised Neural Architecture Search. - Yijiang Lian, Yubo Liu, Zhicong Ye, Liang Yuan, Yanfeng Zhu, Min Zhao, Jianyi Cheng, Xinwei Feng:
A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search. - Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck:
Tractable Computation of Expected Kernels by Circuits. - Milliam Maxime Zekeng Ndadji, Maurice Tchoupé Tchendji, Clémentin Tayou Djamégni, Didier Parigot:
A Projection-Stable Grammatical Model for the Distributed Execution of Administrative Processes with Emphasis on Actors' Views. - Stefanos Leonardos, Barnabé Monnot, Daniël Reijsbergen, Stratis Skoulakis, Georgios Piliouras:
Dynamical Analysis of the EIP-1559 Ethereum Fee Market. - Ismail Alaoui Abdellaoui, Siamak Mehrkanoon:
Symbolic regression for scientific discovery: an application to wind speed forecasting. - Dalu Guo, Dacheng Tao:
Learning Compositional Representation for Few-shot Visual Question Answering. - Ben Goertzel:
Patterns of Cognition: Cognitive Algorithms as Galois Connections Fulfilled by Chronomorphisms On Probabilistically Typed Metagraphs. - Mohammad Fattahi Sani, Raimondo Ascione, Sanja Dogramadzi:
Mapping Surgeon's Hand/Finger Motion During Conventional Microsurgery to Enhance Intuitive Surgical Robot Teleoperation. - Mohamadsaleh Jafari, Mohammad Ashiqur Rahman, Sumit Paudyal:
False Data Injection Attack Against Power System Small-Signal Stability. - Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. - Zahidul Islam, Mohammad Rukonuzzaman, Raiyan Ahmed, Md. Hasanul Kabir, Moshiur Farazi:
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM. - Xinghan Wang, Xiaoxiong Zhong, Yuanyuan Yang, Tingting Yang:
CFLMEC: Cooperative Federated Learning for Mobile Edge Computing. - Naoya Muramatsu, Hai-Tao Yu:
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification. - Sankarshan Damle, Sujit Gujar, Moin Hussain Moti:
FASTEN: Fair and Secure Distributed Voting Using Smart Contracts. - Shir Cohen, Idit Keidar:
Tame the Wild with Byzantine Linearizability: Reliable Broadcast, Snapshots, and Asset Transfer. - Muhammad Noor Fakhruzzaman, Sie Wildan Gunawan:
Web-based Application for Detecting Indonesian Clickbait Headlines using IndoBERT. - Hanlin Niu, Ze Ji, Al Savvaris, Antonios Tsourdos, Joaquín Carrasco:
Model Checking for Decision Making System of Long Endurance Unmanned Surface Vehicle. - Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani:
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization. - Aleksandr Lenin, Peeter Laud:
Content Confidentiality in Named Data Networking. - Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. - Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, Himabindu Lakkaraju:
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. - Salman Habib, David G. M. Mitchell, Jörg Kliewer:
Nested Array-Based Spatially Coupled LDPC Codes. - Aaron Zimba, Tozgani Fainess Mbale, Mumbi Chishimba, Mathews Chibuluma:
Liberalisation of the International Gateway and Internet Development in Zambia: The Genesis, Opportunities, Challenges, and Future Directions. - Aaron Zimba, Mumbi Chishimba, Sipiwe Chihana:
A Ransomware Classification Framework Based on File-Deletion and File-Encryption Attack Structures. - Aaron Zimba, Mumbi Chishimba, Christabel Ngongola-Reinke, Tozgani Fainess Mbale:
Demystifying Cryptocurrency Mining Attacks: A Semi-supervised Learning Approach Based on Digital Forensics and Dynamic Network Characteristics. - Shadi Ghafghazi, Amarie Carnett, Leslie Neely, Arun Das, Paul Rad:
AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment. - Sina Rezaei Aghdam, Ehsan Amid, Marija Furdek, Alexandre Graell i Amat:
Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments. - Dipankar Maity, Panagiotis Tsiotras:
Multi-Agent Consensus Subject to Communication and Privacy Constraints. - Yutong Li, Nan Li, H. Eric Tseng, Anouck Girard, Dimitar P. Filev, Ilya V. Kolmanovsky:
Safe Reinforcement Learning Using Robust Action Governor. - Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik:
A Game-Theoretic Approach for Hierarchical Policy-Making. - Herbert Jaeger, Dirk Doorakkers, Celestine Lawrence, Giacomo Indiveri:
Dimensions of Timescales in Neuromorphic Computing Systems. - Francesco Ferrante, Alexandre Seuret:
Observer Design for Linear Aperiodic Sampled-Data Systems: A Hybrid Systems Approach. - Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat:
(Almost Full) EFX Exists for Four Agents (and Beyond). - Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel:
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. - Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar:
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. - Hao Xu, Tianyu Yang, Giuseppe Caire, Shlomo Shamai:
Information Bottleneck for a Rayleigh Fading MIMO Channel with an Oblivious Relay. - Daniel Zhengyu Huang, Jiaoyang Huang:
Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model. - Justin Kasowski, Nathan Wu, Michael Beyeler:
Towards Immersive Virtual Reality Simulations of Bionic Vision. - Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning. - Max Coenen, Franz Rottensteiner:
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. - Morteza Mohammad Noori, Narges Ghareghani, Mahmoud Ghandi:
Generalized Gapped-kmer Filters for Robust Frequency Estimation. - Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, Kareem Darwish, Younes Samih:
Pre-Training BERT on Arabic Tweets: Practical Considerations. - Esha Shandilya, Yiwen Wang, Xuan Zhao, Mingming Fan:
EvoK: Connecting loved ones through Heart Rate sharing. - Jalal Khamse-Ashari, Gamini Senarath, Irem Bor-Yaliniz, Halim Yanikomeroglu:
An agile and distributed mechanism for inter-domain network slicing in next generation mobile networks. - Ricardo Guimarães, Ana Ozaki, Cosimo Persia, Baris Sertkaya:
Mining EL Bases with Adaptable Role Depth. - Luis Puche Rondon, Leonardo Babun, Ahmet Aris, Kemal Akkaya, A. Selcuk Uluagac:
Survey on Enterprise Internet-of-Things Systems (E-IoT): A Security Perspective. - Robert R. Snapp, Gil I. Shamir:
Synthesizing Irreproducibility in Deep Networks. - Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz:
Pruning the Index Contents for Memory Efficient Open-Domain QA. - Luís Cruz-Filipe, Fabrizio Montesi, Marco Peressotti:
Certifying Choreography Compilation. - Mohammad Ghaljehei, Mahrad Rahimi, Zahra Soltani, Behrouz Azimian, Behzad Vatandoust, Masoud Aliakbar Golkar:
Stochastic AC Network-constrained Scheduling of CAES and Wind Power Generation in Joint Energy and reserve market: Toward More Realistic Results. - Mahdi Fahmideh, Aakash Ahmed, Ali Behnaz, John Grundy, Willy Susilo:
Software Engineering for Internet of Things. - Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. - Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquín Carrasco:
3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot. - Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquín Carrasco:
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. - Amirhossein Taghvaei, Prashant G. Mehta:
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. - Ilias Zenelis, Georgia Pierrou, Xiaozhe Wang:
A Data-Driven Energy Storage System-Based Algorithm for Monitoring the Small-Signal Stability of Power Grids with Volatile Wind Power. - Melanie Mitchell:
Abstraction and Analogy-Making in Artificial Intelligence. - Peihong Yuan, Mustafa Cemil Coskun, Gerhard Kramer:
Polar-Coded Non-Coherent Communication. - Sarvesh Kumar Singh, Bikram Pratap Banerjee, Simit Raval:
Three dimensional unique identifier based automated georeferencing and coregistration of point clouds in underground environment. - Chai Wah Wu:
Dither computing: a hybrid deterministic-stochastic computing framework. - Samet Oymak:
Super-Convergence with an Unstable Learning Rate. - Shen Wang, Ahmad F. Taha, Ankush Chakrabarty, Lina Sela, Ahmed A. Abokifa:
Model Order Reduction for Water Quality Dynamics. - Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin:
Dissecting the Diffusion Process in Linear Graph Convolutional Networks. - Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication Efficient Parallel Reinforcement Learning. - Yuwen Cao, Setareh Maghsudi, Tomoaki Ohtsuki:
Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach. - Yudong Chen, Chaoyu Guan, Zhikun Wei, Xin Wang, Wenwu Zhu:
MetaDelta: A Meta-Learning System for Few-shot Image Classification. - Zhiyong Cheng, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie:
Factor-level Attentive ICF for Recommendation. - Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Jie Zeng, Ren Ping Liu:
Joint Estimation of Multipath Angles and Delays for Millimeter-Wave Cylindrical Arrays with Hybrid Front-ends. - Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface. - Ankit Kulshrestha, Ilya Safro:
Coping with Mistreatment in Fair Algorithms. - Jonas Dalege, Tamara van der Does:
Changing Beliefs about Scientific Issues: The Role of Moral and Social Belief Networks. - Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji:
Self-Supervised Learning of Graph Neural Networks: A Unified Review. - Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty:
Hide and Seek: Outwitting Community Detection Algorithms. - Snehasish Mukherjee:
Unsupervised Meta Learning for One Shot Title Compression in Voice Commerce. - Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-hoc Overall Survival Time Prediction from Brain MRI. - Xin Jin, Zhengyi Yang, Xuemin Lin, Shiyu Yang, Lu Qin, You Peng:
FAST: FPGA-based Subgraph Matching on Massive Graphs. - Rahul Kidambi, Jonathan D. Chang, Wen Sun:
Optimism is All You Need: Model-Based Imitation Learning From Observation Alone. - Ronghang Hu, Amanpreet Singh:
Transformer is All You Need: Multimodal Multitask Learning with a Unified Transformer. - Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami:
Slowly Varying Regression under Sparsity. - Lanqing Li, Yuanhao Huang, Dijun Luo:
Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning. - Deepak Bhaskar Acharya, Huaming Zhang:
Weighted Graph Nodes Clustering via Gumbel Softmax. - Tejas Atul Khare, Vaibhav Bahel, Anuradha C. Phadke:
PCB-Fire: Automated Classification and Fault Detection in PCB. - Jia-Cheng Jiang, Hui-Ming Wang:
Massive Random Access with Sporadic Short Packets: Joint Active User Detection and Channel Estimation via Sequential Message Passing. - Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. - Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski:
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations. - Ryan Song, Zihan Zhao, Yuxi Cai, Andreas G. Veneris, Fan Long:
SigVM: Toward Fully Autonomous Smart Contracts. - Anton I. Glushchenko, Vladislav A. Petrov, Konstantin A. Lastochkin:
I-DREM MRAC with Time-Varying Adaptation Rate & No A Priori Knowledge of Control Input Matrix Sign to Relax PE Condition. - Hao Jiang, Shuangkaisheng Bi, Linglong Dai:
Residual-Aided End-to-End Learning of Communication System without Known Channel. - Henrietta Lyons, Eduardo Velloso, Tim Miller:
Fair and Responsible AI: A Focus on the Ability to Contest. - Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Yidong Li:
Attention Models for Point Clouds in Deep Learning: A Survey. - Mohammad Khajenejad, Sze Zheng Yong:
Simultaneous Mode, State and Input Set-Valued Observers for Switched Nonlinear Systems. - Kim Thi-Thanh Nguyen, Kiet Van Nguyen:
ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites. - Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang:
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search. - Yaguan Qian, Anlin Sun:
Person Re-identification based on Robust Features in Open-world. - Krishna Yadav, B. B. Gupta:
Clustering Algorithm to Detect Adversaries in Federated Learning. - Abdelrahman Hosny, Sherief Reda:
Characterizing and Optimizing EDA Flows for the Cloud. - Qunxi Zhu, Yao Guo, Wei Lin:
Neural Delay Differential Equations. - Praneeth Vepakomma, Julia Balla, Ramesh Raskar:
Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval. - Jeffrey Willette, Juho Lee, Sung Ju Hwang:
Improving Uncertainty Calibration via Prior Augmented Data. - Xiaowu Sun, Yasser Shoukry:
Provably Correct Training of Neural Network Controllers Using Reachability Analysis. - Yixi Cai, Wei Xu, Fu Zhang:
ikd-Tree: An Incremental K-D Tree for Robotic Applications. - Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon:
Localized Calibration: Metrics and Recalibration. - Hendrik Molter, Malte Renken, Philipp Zschoche:
Temporal Reachability Minimization: Delaying vs. Deleting. - Dennis Stumpf, Stephan Krauß, Gerd Reis, Oliver Wasenmüller, Didier Stricker:
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences. - Rémi Imbach, Victor Y. Pan:
Root Radii and Subdivision for Polynomial Root-Finding. - Son T. Duong, Thanh V. Pham, Chuyen T. Nguyen, Anh T. Pham:
Energy-Efficient Precoding for Multi-User Visible Light Communication with Confidential Messages. - Pengli Lu, Chen Dong, Yuhong Guo:
A novel method based on node correlation to evaluate the important nodes in complex networks. - Vanessa Sauer, Axel Sauer, Alexander Mertens:
Zoomorphic Gestures for Communicating Cobot States. - Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou:
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. - Michel Rigo, Manon Stipulanti:
Automatic sequences: from rational bases to trees. - Grigory Tsiperman:
Design techniques for a seamless information system architecture. - Qianqian Zhang, Aidin Ferdowsi, Walid Saad:
Distributed Generative Adversarial Networks for mmWaveChannel Modeling in Wireless UAV Networks. - Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. - Colin Faverjon, Marina Poulet:
An algorithm to determine regular singular Mahler systems. - Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte:
Expanding boundaries of Gap Safe screening. - Asmaa Abdallah, Abdulkadir Celik, Mohammad M. Mansour, Ahmed M. Eltawil:
Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems. - Judit Ács, Dániel Lévai, Dávid Márk Nemeskey, András Kornai:
Evaluating Contextualized Language Models for Hungarian. - Xiaolong Guo, Xiaosong Lan, Kunfeng Wang, Shuxiao Li:
Contour Loss for Instance Segmentation via k-step Distance Transformation Image. - Qifan Xue, Xuanpeng Li, Jingwen Zhao, Weigong Zhang:
Deep Kalman Filter: A Refinement Module for the Rollout Trajectory Prediction Methods. - Jeongmin Chae, Song-Nam Hong:
Multiple Kernel-Based Online Federated Learning. - Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause:
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks. - Judit Ács, Ákos Kádár, András Kornai:
Subword Pooling Makes a Difference. - Federico Cerutti, Lance M. Kaplan, Angelika Kimmig, Murat Sensoy:
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits. - Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz:
Linear unit-tests for invariance discovery. - Piotr Krasnowski, Bruno Martin, Jérôme Lebrun:
Introducing a Novel Data over Voice Technique for Secure Voice Communication. - Oskar Allerbo, Rebecka Jörnsten:
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders. - Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
On the robustness of randomized classifiers to adversarial examples. - Luca Guglielmo, Andrea Riboni, Giovanni Denaro:
Towards Evidence-based Testability Measurements. - Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan:
Mutual information-based group explainers with coalition structure for machine learning model explanations. - Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig:
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. - Xiangxiang Chu, Bo Zhang, Zhi Tian, Xiaolin Wei, Huaxia Xia:
Do We Really Need Explicit Position Encodings for Vision Transformers? - Hongxiang Cai, Jun Sun, Yichao Xiong:
CSTR: A Classification Perspective on Scene Text Recognition. - Xinrong Guan, Qingqing Wu, Rui Zhang:
Anchor-Assisted Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Communication. - Ken'ichiro Tanaka:
Kernel quadrature by applying a point-wise gradient descent method to discrete energies. - Lorenzo Balzotti, Paolo Giulio Franciosa:
Multi-Terminal Shortest Paths in Unit-Weight Planar Graphs in Linear Time. - Yanfei Hui, Jianzong Wang, Ning Cheng, Fengying Yu, Tianbo Wu, Jing Xiao:
Joint Intent Detection And Slot Filling Based on Continual Learning Model. - François Demoures, François Gay-Balmaz:
Multisymplectic variational integrators for barotropic and incompressible fluid models with constraints. - Weitao Xu, Zhenjiang Li, Wanli Xue, Xiaotong Yu, Bo Wei, Jia Wang, Chengwen Luo, Wei Li, Albert Y. Zomaya:
InaudibleKey: Generic Inaudible Acoustic Signal based Key Agreement Protocol for Mobile Devices. - Dmitry Yarotsky:
Elementary superexpressive activations. - Patel Adam Burhansab, M. Sadik Batcha, Muneer Ahmad:
Investigating Awareness and usage of Electronic Resources by the Library Users of Selected Colleges of Solapur University. - Muneer Ahmad, M. Sadik Batcha:
Scholarly Communications of Bharathiar University on Web of Science in Global Perspective: A Scientometric Assessment. - Mateus Riva, Pietro Gori, Florian Yger, Roberto Marcondes Cesar Junior, Isabelle Bloch:
Approximation of dilation-based spatial relations to add structural constraints in neural networks. - Ivan Jericevich, Dharmesh Sing, Tim Gebbie:
CoinTossX: An open-source low-latency high-throughput matching engine. - Huu Le, Christopher Zach:
Escaping Poor Local Minima in Large Scale Robust Estimation. - Markus Bosch:
Deep Learning for Robust Motion Segmentation with Non-Static Cameras. - Rafael Albert, Erich Grädel:
Unifying Hidden-Variable Problems from Quantum Mechanics by Logics of Dependence and Independence. - Christos Sakalis, Zamshed I. Chowdhury, Shayne Wadle, Ismail Akturk, Alberto Ros, Magnus Själander, Stefanos Kaxiras, Ulya R. Karpuzcu:
On Value Recomputation to Accelerate Invisible Speculation. - Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. - Tao Chen, Guo-Sen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang:
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation. - Daniel Vidali Fryer, Inga Strümke, Hien D. Nguyen:
Shapley values for feature selection: The good, the bad, and the axioms. - Liang Chen:
A High-dimensional Sparse Fourier Transform in the Continuous Setting. - Andreas A. Buchheit, Torsten Keßler:
Singular Euler-Maclaurin expansion on multidimensional lattices. - Alexander Hepburn, Raúl Santos-Rodríguez:
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception. - Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A Relational Tsetlin Machine with Applications to Natural Language Understanding. - Yinghui Li, Ruiyang Liu, Chen Wang, Yangning Li, Ning Ding, Haitao Zheng:
Learning Purified Feature Representations from Task-irrelevant Labels. - Usama Khalid, Mirza Omer Beg:
Few Shot Learning for Information Verification. - Usama Khalid, Aizaz Hussain, Muhammad Umair Arshad, Waseem Shahzad, Mirza Omer Beg:
Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu. - Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad:
Bilingual Language Modeling, A transfer learning technique for Roman Urdu. - Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu:
Return-Based Contrastive Representation Learning for Reinforcement Learning. - Raju:
Mutation Testing framework for Machine Learning. - David Graus:
Entities of Interest. - Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang:
Smart Contract Security: a Practitioners' Perspective. - Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Andreas Both, Sören Auer:
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines. - Pei Lv, Quan Zhang, Boya Xu, Ran Feng, Chaochao Li, Junxiao Xue, Bing Zhou, Mingliang Xu:
Agent-Based Campus Novel Coronavirus Infection and Control Simulation. - Rohan Yashraj Gupta, Satya Sai Mudigonda, Pallav Kumar Baruah, Phani Krishna Kandala:
Markov model with machine learning integration for fraud detection in health insurance. - Sebastian T. Vincent:
Towards Personalised and Document-level Machine Translation of Dialogue. - Sebastian Graef, Ilche Georgievski:
Software Architecture for Next-Generation AI Planning Systems. - Wenbin Chen, Shufen Wang, Xiaoming Wang:
Energy stable arbitrary order ETD-MS method for gradient flows with Lipschitz nonlinearity. - Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin:
UPRec: User-Aware Pre-training for Recommender Systems. - Andrés Chacoma, Damián H. Zanette:
Word frequency-rank relationship in tagged texts. - Takato Nishijima:
Universal Approximation Theorem for Neural Networks. - Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Wei Emma Zhang:
Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach. - Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Munazza Zaib, Wei Emma Zhang:
Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach. - ElMehdi Boujou, Hamza Chataoui, Abdellah El Mekki, Saad Benjelloun, Ikram Chairi, Ismail Berrada:
An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction. - Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang:
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration. - Kaichao You, Yong Liu, Mingsheng Long, Jianmin Wang:
LogME: Practical Assessment of Pre-trained Models for Transfer Learning. - Sidi Lu, Nanyun Peng:
On Efficient Training, Controllability and Compositional Generalization of Insertion-based Language Generators. - Justin E. Lane, Kevin McCaffree, F. LeRon Shults:
The Moral Foundations of Left-Wing Authoritarianism: On the Character, Cohesion, and Clout of Tribal Equalitarian Discourse. - Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi:
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks. - Avi Schwarzschild, Arjun Gupta, Micah Goldblum, Tom Goldstein:
Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems. - Andrew Silva, Barry-John Theobald, Nicholas Apostoloff:
Multimodal Punctuation Prediction with Contextual Dropout. - Emiliano Lorini:
A Qualitative Theory of Cognitive Attitudes and their Change. - Siyuan Shen, Yin Yang, Tianjia Shao, He Wang, Chenfanfu Jiang, Lei Lan, Kun Zhou:
High-order Differentiable Autoencoder for Nonlinear Model Reduction. - Paul Barry, Sam Henry, Meliha Yetisgen, Bridget T. McInnes, Özlem Uzuner:
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context. - Nicholas J. Dobbins, David Wayne, Kahyun Lee, Özlem Uzuner, Meliha Yetisgen:
Performance of Automatic De-identification Across Different Note Types. - Dachuan Zhang, Haoyang Zhang, Zhisheng Wei, Yan Li, Zhiheng Mao, Chunmeng He, Haorui Ma, Xin Zeng, Xiaoling Xie, Xingran Kou, Bingwen Zhang:
IFoodCloud: A Platform for Real-time Sentiment Analysis of Public Opinion about Food Safety in China. - Michael Welzl, Safiqul Islam, Michael Gundersen, Andreas Fischer:
Transport Services: A Modern API for an Adaptive Internet Transport Layer. - Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Highly Fast Text Segmentation With Pairwise Markov Chains. - Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Introducing the Hidden Neural Markov Chain framework. - Benjamin David Evans, Hendrik W. Jordaan, Herman A. Engelbrecht:
Autonomous Obstacle Avoidance by Learning Policies for Reference Modification. - Domenic Rosati:
How are journals cited? characterizing journal citations by type of citation. - Muhammad Hamzah Mushtaq:
Semantic Parsing to Manipulate Relational Database For a Management System. - Qiao Liang, Shyam Ranganathan, Kaibo Wang, Xinwei Deng:
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction. - Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru:
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization. - Nikola Vulin, Sammy Joe Christen, Stefan Stevsic, Otmar Hilliges:
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation. - Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu:
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization. - Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani:
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. - Shreeviknesh Sankaran, Sukavanan Nanjundan, G. Paavai Anand:
Anyone GAN Sing. - Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues:
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks. - Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? - Guillaume Vidot, Paul Viallard, Amaury Habrard, Emilie Morvant:
A PAC-Bayes Analysis of Adversarial Robustness. - William L. Croft, Jörg-Rüdiger Sack, Wei Shi:
Obfuscation of Images via Differential Privacy: From Facial Images to General Images. - Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis:
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning. - Boris Ndjia Njike, Xavier Siebert:
Nonparametric adaptive active learning under local smoothness condition. - Pieter J. W. Hofstra, Jason Parker, Philip J. Scott:
Polymorphic Automorphisms and the Picard Group. - Martin Nievas, Claudio J. Paz, Gastón R. Araguás:
Point Cloud Subsampling Parallelization for Unified Memory Platforms. - Yangjun Ruan, Karen Ullrich, Daniel Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris J. Maddison:
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding. - Tofar Chih-Yuan Chang, Pin-Han Wang, Jian-Jia Weng, I-Hsiang Lee, Yu T. Su:
Belief-Propagation Decoding of LDPC Codes with Variable Node-Centric Dynamic Schedules. - Philipp Dufter, Martin Schmitt, Hinrich Schütze:
Position Information in Transformers: An Overview. - Joseph O'Rourke, Costin Vîlcu:
Cut Locus Realizations on Convex Polyhedra. - Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze:
User Factor Adaptation for User Embedding via Multitask Learning. - Matthew Sumpter, Giovanni Luca Ciampaglia:
REMOD: Relation Extraction for Modeling Online Discourse. - Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio:
Towards Causal Representation Learning. - Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model. - Adam Dahlgren Lindström, Suna Bensch, Johanna Björklund, Frank Drewes:
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case. - Nikhil Ayyadevara, Ashish Chiplunkar:
The Randomized Competitive Ratio of Weighted $k$-server is at least Exponential. - Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb, Marilyn Vazquez:
Direct Estimation of Appearance Models for Segmentation. - Eivind Bøhn, Sebastien Gros, Signe Moe, Tor Arne Johansen:
Reinforcement Learning of the Prediction Horizon in Model Predictive Control. - Frédéric Rousset, Katharina Schratz:
Convergence error estimates at low regularity for time discretizations of KdV. - Deressa Wodajo, Solomon Atnafu:
Deepfake Video Detection Using Convolutional Vision Transformer. - Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. - Xuehao Liu, Sarah Jane Delany, Susan McKeever:
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases. - Horst Wieker, Arno Hinsberger, Manuel Fünfrocken, Jonas Vogt:
Vehicle infrastructure - communication to support driver assistance systems. - Manuel Fünfrocken, Jonas Vogt, Horst Wieker:
The CONVERGE project - A systems network for ITS. - Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin C. Rinard:
Program Synthesis Guided Reinforcement Learning. - Rui Ribeiro, Alberto Abad, José Lopes:
Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning. - Jose Manuel Redondo:
Improving Concept Learning Through Specialized Digital Fanzines. - Ruiwen Zhang, Zhidong Deng, Hongsen Lin, Hongchao Lu:
Phase Space Reconstruction Network for Lane Intrusion Action Recognition. - Anouck Braggaar, Rob van der Goot:
Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data. - David Puljiz, Bowen Zhou, Ke Ma, Björn Hein:
HAIR: Head-mounted AR Intention Recognition. - Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand:
Generator Surgery for Compressed Sensing. - Andrew Kenyon-Roberts, Luke Ong:
Supermartingales, Ranking Functions and Probabilistic Lambda Calculus. - Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. - Luca Aceto, Valentina Castiglioni, Anna Ingólfsdóttir, Bas Luttik, Mathias Ruggaard Pedersen:
On the Axiomatisability of Parallel Composition. - Saadoune Brahimi, Ahcene Merad, Adem Kiliçman:
On Theoretical and Numerical Aspect of Fractional Differential Equations with Purely Integral Conditions. - Kathrin Hanauer, Monika Henzinger, Christian Schulz:
Recent Advances in Fully Dynamic Graph Algorithms. - Cheng Zhang, Yunze Pan, Yunqi Zhang, Adam C. Champion, Zhaohui Shen, Dong Xuan, Zhiqiang Lin, Ness B. Shroff:
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic. - Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber:
Linear Transformers Are Secretly Fast Weight Memory Systems. - Hessam Djavaherpour, Faramarz Samavati, Ali Mahdavi-Amiri, Fatemeh Yazdanbakhsh, Samuel Huron, Richard Levy, Yvonne Jansen, Lora Oehlberg:
Data to Physicalization: A Survey of the Physical Rendering Process. - Ursula Challita, David Sandberg:
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR. - Luis Ramada Pereira, Rui J. Lopes, Jorge Louçã, Duarte Araújo, João Ramos:
The Soccer Game, bit by bit: An information-theoretic analysis. - Giuseppe De Giacomo, Giuseppe Perelli:
Behavioral QLTL. - Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina L. Abad:
Sign-regularized Multi-task Learning. - Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer:
Variational Data Assimilation with a Learned Inverse Observation Operator. - Ruslan Savchenko:
Reading from External Memory. - Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei:
A Theory of Label Propagation for Subpopulation Shift. - Andreas Hochlehnert, Alexander Terenin, Steindór Sæmundsson, Marc Peter Deisenroth:
Learning Contact Dynamics using Physically Structured Neural Networks. - Radiah Rivu, Ville Mäkelä, Sarah Prange, Sarah Delgado Rodriguez, Robin Piening, Yumeng Zhou, Kay Köhle, Ken Pfeuffer, Yomna Abdelrahman, Matthias Hoppe, Albrecht Schmidt, Florian Alt:
Remote VR Studies - A Framework for Running Virtual Reality Studies Remotely Via Participant-Owned HMDs. - Adam Sandler, Diego Klabjan, Yuan Luo:
Non-Convex Optimization with Spectral Radius Regularization. - Jip van Stijn:
Moral Decision-Making in Medical Hybrid Intelligent Systems: A Team Design Patterns Approach to the Bias Mitigation and Data Sharing Design Problems. - Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag:
Neural Pharmacodynamic State Space Modeling. - Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu:
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. - Juan Marcos Ramirez, Héctor Vargas, José Ignacio Martinez Torre, Henry Arguello:
Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover Classification. - Mirza Ramicic, Andrea Bonarini:
Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective. - Chunhua Geng, Traian E. Abrudan, Veli-Matti Kolmonen, Howard Huang:
Experimental Study on Probabilistic ToA and AoA Joint Localization in Real Indoor Environments. - Duilio Balsamo, Paolo Bajardi, Alberto Salomone, Rossano Schifanella:
Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions. - Sulabh Katiyar, Samir Kumar Borgohain:
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation. - Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon, Chris Mason, Tejasvi Chakravarthy, Bharath Muthiah, Sriram Sankar:
Silent Data Corruptions at Scale. - Lijie Chen, Gillat Kol, Dmitry Paramonov, Raghuvansh Saxena, Zhao Song, Huacheng Yu:
Near-Optimal Two-Pass Streaming Algorithm for Sampling Random Walks over Directed Graphs. - Michal Daniluk, Barbara Rychalska, Konrad Goluchowski, Jacek Dabrowski:
Modeling Multi-Destination Trips with Sketch-Based Model. - Sandeep Mathias, V. Rudra Murthy, Diptesh Kanojia, Pushpak Bhattacharyya:
Cognitively Aided Zero-Shot Automatic Essay Grading. - David J. Yoon, Haowei Zhang, Mona Gridseth, Hugues Thomas, Timothy D. Barfoot:
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator. - Lei Ding, Hao Tang, Yahui Liu, Yilei Shi, Lorenzo Bruzzone:
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images. - Kripasindhu Sarkar, Vladislav Golyanik, Lingjie Liu, Christian Theobalt:
Style and Pose Control for Image Synthesis of Humans from a Single Monocular View. - Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpret-able feedback for AutoML systems. - Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. - Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto:
Reinforcement Learning with Prototypical Representations. - Eric Mintun, Alexander Kirillov, Saining Xie:
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. - Basak Guler, Aylin Yener:
Sustainable Federated Learning. - Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed, Shaohua Wan, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Ponnuthurai N. Suganthan:
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study. - Shivangi Singhal, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Factorization of Fact-Checks for Low Resource Indian Languages. - Usama Khalid, Mirza Omer Beg, Muhammad Umair Arshad:
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning. - Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu:
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference. - Jeffrey Wong, Eskil Forsell, Randall Lewis, Tobias Mao, Matthew Wardrop:
You Only Compress Once: Optimal Data Compression for Estimating Linear Models. - Bowen Shen, Cihan Xiao, Na Meng, Fei He:
Automatic Detection and Resolution of Software Merge Conflicts: Are We There Yet? - Erez Shalom, Ayelet Goldstein, Elior Ariel, Moshe Sheinberger, Valerie M. Jones, Boris W. van Schooten, Yuval Shahar:
Distributed Application of Guideline-Based Decision Support through Mobile Devices: Implementation and Evaluation. - Falguni Patel, NirmalKumar Patel, Santosh Kumar Bharti:
Lie-Sensor: A Live Emotion Verifier or a Licensor for Chat Applications using Emotional Intelligence. - Brett Daley, Cameron Hickert, Christopher Amato:
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. - Guy Tennenholtz, Nir Baram, Shie Mannor:
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. - Nir Baram, Guy Tennenholtz, Shie Mannor:
Action Redundancy in Reinforcement Learning. - Shi-Yuan Wang, Matthieu R. Bloch:
Covert MIMO Communications under Variational Distance Constraint. - Prakhar Kaushik, Alex Gain, Adam Kortylewski, Alan L. Yuille:
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. - Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu:
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving. - Alberto Purpura, Karolina Buchner, Gianmaria Silvello, Gian Antonio Susto:
Neural Feature Selection for Learning to Rank. - Massimo Bartoletti, James Hsin-yu Chiang, Alberto Lluch-Lafuente:
A theory of Automated Market Makers in DeFi. - Yuting Ng, Ali Hasan, Khalil Elkhalil, Vahid Tarokh:
Generative Archimedean Copulas. - Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. - Raid R. Al-Nima, Ali N. Hamoodi, Radhwan Y. Al-Jawadi, Ziad S. Mohammad:
Shadow Image Enlargement Distortion Removal. - Greg Bodwin, Michael Dinitz, Caleb Robelle:
Partially Optimal Edge Fault-Tolerant Spanners. - Xavier Ignacio Gonzalez:
The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers. - Izzat Alsmadi, Iyad Alazzam, Mohammad Aref Al-Ramahi:
An ontological analysis of misinformation in online social networks. - Mathias Berger, David Radu, Ghislain Detienne, Thierry Deschuyteneer, Aurore Richel, Damien Ernst:
Remote Renewable Hubs For Carbon-Neutral Synthetic Fuel Production. - Goran Petrovic, Marko Ivankovic, Gordon Fraser, René Just:
Practical Mutation Testing at Scale. - Ryo Kikuuwe, Tomofumi Okada, Hideo Yoshihara, Takayuki Doi, Takao Nanjo, Koji Yamashita:
Nonsmooth Quasistatic Modeling of Hydraulic Actuators. - Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang:
Sandwich Batch Normalization. - Xue Hong, Jing-Mei Qiu:
A Generalized Eulerian-Lagrangian Discontinuous Galerkin Method for Transport Problems. - Masuda Akter Tonima, Fatemeh Esfahani, Austin Dehart, Youmin Zhang:
Lightweight Combinational Machine Learning Algorithm for Sorting Canine Torso Radiographs. - Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia:
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. - Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez:
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. - Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn:
MagNet: A Magnetic Neural Network for Directed Graphs. - Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. - Wei Zhou, Jiahua Xu, Qiuping Jiang, Zhibo Chen:
No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness. - Jan Achterhold, Joerg Stueckler:
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models. - Ghani O. Lawal, Michael A. Greenspan:
Procam Calibration from a Single Pose of a Planar Target. - Donghui Yan, Jian Zou, Zhenpeng Li:
Learning Low-dimensional Manifolds for Scoring of Tissue Microarray Images. - Jisu Kim, Alina Sîrbu, Giulio Rossetti, Fosca Giannotti, Hillel Rapoport:
Home and destination attachment: study of cultural integration on Twitter. - Wancong Zhang, Ieshan Vaidya:
MixUp Training Leads to Reduced Overfitting and Improved Calibration for the Transformer Architecture. - Julia Ive, Zixu Wang, Marina Fomicheva, Lucia Specia:
Exploring Supervised and Unsupervised Rewards in Machine Translation. - Trinh Van Chien, Anastasios K. Papazafeiropoulos, Lam-Thanh Tu, Ribhu Chopra, Symeon Chatzinotas, Björn E. Ottersten:
Outage Probability Analysis of IRS-Assisted Systems Under Spatially Correlated Channels. - Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal:
Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression. - Patel Adam Burhansab, M. Sadik Batcha, Muneer Ahmad:
Impact of Web 2.0 Technologies on Academic Libraries: A Survey on Affiliated Colleges of Solapur University. - Narsimha Chilkuri, Chris Eliasmith:
Parallelizing Legendre Memory Unit Training. - Samuel J. Broughton, Md Asif Jalal, Roger K. Moore:
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion. - Shadi Haddad, Abhishek Halder:
The Curious Case of Integrator Reach Sets, Part I: Basic Theory. - Sarveswararao Vangala, Vadlamani Ravi, Shaik Tanveer Ul Huq:
Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II. - Saber Kazeminasab, Vahid Janfaza, Moein Razavi, M. Katherine Banks:
Smart Navigation for an In-pipe Robot Through Multi-phase Motion Control and Particle Filtering Method. - Deeparnab Chakrabarty, Maryam Negahbani:
Robust $k$-Center with Two Types of Radii. - João Henrique Inacio de Souza, Abolfazl Amiri, Taufik Abrão, Elisabeth de Carvalho, Petar Popovski:
Quasi-Distributed Antenna Selection for Spectral Efficiency Maximization in Subarray Switching XL-MIMO Systems. - AkshatKumar Nigam, Robert Pollice, Matthew F. D. Hurley, Riley J. Hickman, Matteo Aldeghi, Naruki Yoshikawa, Seyone Chithrananda, Vincent A. Voelz, Alán Aspuru-Guzik:
Assigning Confidence to Molecular Property Prediction. - Yanyan Li, Sara Kim, Eric Sy:
A Survey on Amazon Alexa Attack Surfaces. - Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter:
Data Engineering for Everyone. - DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor:
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning. - Arnav V. Malawade, Nathan D. Costa, Deepan Muthirayan, Pramod P. Khargonekar, Mohammad Abdullah Al Faruque:
Neuroscience-Inspired Algorithms for the Predictive Maintenance of Manufacturing Systems. - Patrick Wlazlo, Abhijeet Sahu, Zeyu Mao, Hao Huang, Ana E. Goulart, Katherine R. Davis, Saman A. Zonouz:
Man-in-The-Middle Attacks and Defense in a Power System Cyber-Physical Testbed. - Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal MR Analysis. - Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Zeyu Xie, Kai Yu:
Investigating Local and Global Information for Automated Audio Captioning with Transfer Learning. - Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr:
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. - Xinpeng Wang, Songan Zhang, Kuan-Hui Lee, Huei Peng:
An Interaction-aware Evaluation Method for Highly Automated Vehicles. - Zhiliang Xu, Xiyu Yu, Zhibin Hong, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai:
FaceController: Controllable Attribute Editing for Face in the Wild. - Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann:
Analysis of Evolutionary Diversity Optimisation for Permutation Problems. - Xuenan Xu, Heinrich Dinkel, Mengyue Wu, Kai Yu:
Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events. - Adhvaith Ramkumar, Vrushabh Zinage, Satadal Ghosh:
Mathematical Properties of Generalized Shape Expansion-Based Motion Planning Algorithms. - Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. - Hongzhen Zhong, Hai Wan, Weilin Luo, Zhanhao Xiao, Jia Li, Biqing Fang:
Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification. - Maanak Gupta, Ravi S. Sandhu:
Towards Activity-Centric Access Control for Smart Collaborative Ecosystems. - Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang:
Dynamic Labeling for Unlabeled Graph Neural Networks. - Renjie Wu, Audrey Der, Eamonn J. Keogh:
When is Early Classification of Time Series Meaningful? - Richeng Duan, Nancy F. Chen:
Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech Adaptation. - Wei-Kai Lin, Elaine Shi:
Optimal Sorting Circuits for Short Keys. - Yuan Zhang, Yuanqing Xia, Hongwei Zhang, Gang Wang, Li Dai:
On the Generic Low-Rank Matrix Completion Problems. - Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh:
Data Driven Testing of Cyber Physical Systems. - Xianyuan Zhan, Haoran Xu, Yue Zhang, Yusen Huo, Xiangyu Zhu, Honglei Yin, Yu Zheng:
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. - Yu Bai, Chi Jin, Huan Wang, Caiming Xiong:
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. - Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon:
Anytime Sampling for Autoregressive Models via Ordered Autoencoding. - Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. - Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer:
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. - Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar:
Model-Attentive Ensemble Learning for Sequence Modeling. - Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models. - Amrith Setlur, Oscar Li, Virginia Smith:
Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods. - Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Equivariant neural networks for inverse problems. - Sulabh Katiyar, Samir Kumar Borgohain:
Comparative evaluation of CNN architectures for Image Caption Generation. - Yang Guan, Jingliang Duan, Shengbo Eben Li, Jie Li, Jianyu Chen, Bo Cheng:
Mixed Policy Gradient. - Taehyung Kwon, Inkyu Park, Dongjin Lee, Kijung Shin:
SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams. - Sadegh Soleimani Pour, Ata Jodeiri, Hossein Rashidi, Seyed Mostafa Mirhassani, Hoda Kheradfallah, Hadi Seyedarabi:
Automatic Ship Classification Utilizing Bag of Deep Features. - Ziwei Wang, Yadan Luo, Zi Huang:
Enhanced Modality Transition for Image Captioning. - Fernando Gualo, Moisés Rodríguez, Javier Verdugo, Ismael Caballero, Mario Piattini:
Data Quality Certification using ISO/IEC 25012: Industrial Experiences. - Nadja Ramhöj Holtryd, Madhavan Manivannan, Per Stenström, Miquel Pericàs:
CBP: Coordinated management of cache partitioning, bandwidth partitioning and prefetch throttling. - Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu:
Differentiable Logic Machines. - Kanji Tanaka:
Domain-invariant NBV Planner for Active Cross-domain Self-localization. - Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra:
Memory-efficient Speech Recognition on Smart Devices. - Jinheon Baek, Minki Kang, Sung Ju Hwang:
Accurate Learning of Graph Representations with Graph Multiset Pooling. - Wuyang Chen, Xinyu Gong, Zhangyang Wang:
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. - Pouria Behnoudfar, Gabriele Loli, Alessandro Reali, Giancarlo Sangalli, Victor M. Calo:
Explicit high-order generalized-$α$ methods for isogeometric analysis of structural dynamics. - Alexander V. Nikitin, Samuel Kaski:
Decision Rule Elicitation for Domain Adaptation. - Alexander Trautsch, Steffen Herbold:
The SmartSHARK Repository Mining Data. - Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai:
Deep Deformation Detail Synthesis for Thin Shell Models. - Seungjun Lee, Haesang Yang, Woojae Seong:
Identifying Physical Law of Hamiltonian Systems via Meta-Learning. - Md. Musfiqur Rahman, Ayman Rasheed, Md. Mosaddek Khan, Mohammad Ali Javidian, Pooyan Jamshidi, Md. Mamun-Or-Rashid:
Accelerating Recursive Partition-Based Causal Structure Learning. - Vaggos Chatziafratis, Mohammad Mahdian, Sara Ahmadian:
Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT. - Cristina Palomares, Xavier Franch, Carme Quer, Panagiota Chatzipetrou, Lidia López, Tony Gorschek:
The State-of-Practice in Requirements Elicitation: An Extended Interview Study at 12 Companies. - Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper C. Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou:
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time. - Ali Ghanbari, Andrian Marcus:
Toward Speeding up Mutation Analysis by Memoizing Expensive Methods. - Sohini Roychowdhury, Kwok Sun Tang, Mohith Ashok, Anoop Sanka:
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology. - Francesc Aràndiga, Antonio Baeza, Dionisio F. Yáñez:
Monotone cubic spline interpolation for functions with a strong gradient. - Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang:
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. - Nils C. Köbis, Christopher Starke, Iyad Rahwan:
Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) - Potentials and Pitfalls for Top-down and Bottom-up Approaches. - Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao:
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. - Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger:
Event-Based Automatic Differentiation of OpenMP with OpDiLib. - Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan:
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations. - Xin Huang, Hai-Wei Sun:
A preconditioner based on sine transform for two-dimensional Riesz space factional diffusion equations in convex domains. - Daniela Cabiddu, Giuseppe Patanè, Michela Spagnuolo:
PEMesh: a Graphical Framework for the Analysis of the InterplayBetween Geometry and PEM Solvers. - Lorenzo Mascotto, Ilaria Perugia, Alexander Pichler:
The nonconforming Trefftz virtual element method: general setting, applications, and dispersion analysis for the Helmholtz equation. - Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal:
Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty. - Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji:
Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation. - Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin:
ROAD: The ROad event Awareness Dataset for Autonomous Driving. - Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang, Nenghai Yu:
Adversarial Examples Detection beyond Image Space. - Julio Wissing, Benedikt T. Boenninghoff, Dorothea Kolossa, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Christopher Schymura:
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain. - Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld:
Strategic Classification in the Dark. - Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven:
Scaling up learning with GAIT-prop. - Jungmin Kwon, Jeongseop Kim, Hyunseo Park, In Kwon Choi:
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks. - Sourav Garg, Michael Milford:
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition. - Emmanuel Hainry, Bruce M. Kapron, Jean-Yves Marion, Romain Péchoux:
A tier-based typed programming language characterizing Feasible Functionals. - Weijie Chen, Luojun Lin, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang, Wenqi Ren:
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. - Gabriel Istrate:
Models we Can Trust: Toward a Systematic Discipline of (Agent-Based) Model Interpretation and Validation. - Taras Kucherenko, Patrik Jonell, Youngwoo Yoon, Pieter Wolfert, Gustav Eje Henter:
A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020. - Philipp Czerner, Javier Esparza:
Lower Bounds on the State Complexity of Population Protocols. - Franz Bender, Jan Jonas Brune, Nick Lauritz Keutel, Ilja Behnke, Lauritz Thamsen:
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT. - Jukka Ruohonen:
Assessing the Readability of Policy Documents on the Digital Single Market of the European Union. - Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun:
FINE Samples for Learning with Noisy Labels. - Philipp Czerner, Roland Guttenberg, Martin Helfrich, Javier Esparza:
Decision Power of Weak Asynchronous Models of Distributed Computing. - Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation. - Jinsheng Chen, Giuseppe Greco, Alessandra Palmigiano, Apostolos Tzimoulis:
Syntactic completeness of proper display calculi. - Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor:
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search. - Rafaël Bocquet, Ambrus Kaposi, Christian Sattler:
Induction principles for type theories, internally to presheaf categories. - Hossein Sadr, Mozhdeh Nazari Solimandarabi, Mir Mohsen Pedram, Mohammad Teshnehlab:
A Novel Deep Learning Method for Textual Sentiment Analysis. - Panagiotis Kourtesis, Sarah E. MacPherson:
An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the influence of attention, memory, and executive function processes on real-world prospective memory. - Gregor Cerar, Halil Yetgin, Mihael Mohorcic, Carolina Fortuna:
Learning to Fairly Classify the Quality of Wireless Links. - Thilo Krachenfels, Tuba Kiyan, Shahin Tajik, Jean-Pierre Seifert:
Automatic Extraction of Secrets from the Transistor Jungle using Laser-Assisted Side-Channel Attacks. - Mélanie Cambus, Davin Choo, Havu Miikonen, Jara Uitto:
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs. - Vidyadhara B. V, Lima Agnel Tony, Mohitvishnu S. Gadde, Shuvrangshu Jana, Varun V. P., Aashay Anil Bhise, Suresh Sundaram, Debasish Ghose:
Design and Integration of a Drone based Passive Manipulator for Capturing Flying Targets. - Bernardo Tellini, Mauro Bologna, Kristopher J. Chandia, Massimo Macucci:
Revisiting the Memristor Concept within Basic Circuit Theory. - Sebastian Götschel, Michael L. Minion, Daniel Ruprecht, Robert Speck:
Twelve Ways To Fool The Masses When Giving Parallel-In-Time Results. - Awni Y. Hannun, Chuan Guo, Laurens van der Maaten:
Measuring Data Leakage in Machine-Learning Models with Fisher Information. - Jakub Kozik:
Improving Gebauer's construction of 3-chromatic hypergraphs with few edges. - Matej Madeja, Jaroslav Porubän, Michaela Bacíková, Matús Sulír, Ján Juhár, Sergej Chodarev, Filip Gurbál:
Automating Test Case Identification in Open Source Projects on GitHub. - Gregor Dumphart, Armin Wittneben:
The Channel Between Randomly Oriented Dipoles: Statistics and Outage in the Near and Far Field. - Pengcheng Liu, Nathan Hewitt, Waseem G. Shadid, Andrew R. Willis:
A System for 3D Reconstruction Of Comminuted Tibial Plafond Bone Fractures. - Andrew B. Jennings, Rida Laraki, Clemens Puppe, Estelle Varloot:
New Characterizations of Strategy-Proofness under Single-Peakedness. - Pritha Dutta, Rick Quax, Loes Crielaard, Peter M. A. Sloot:
Inferring temporal dynamics from cross-sectional data using Langevin dynamics. - Kaléu Delphino:
MultiWalk: A Framework to Generate Node Embeddings Based on an Ensemble of Walk Methods. - Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multi-Space Evolutionary Search for Large-Scale Optimization. - (Withdrawn) Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors.
- Lukas Gonon, Christoph Schwab:
Deep ReLU Neural Network Approximation for Stochastic Differential Equations with Jumps. - Yuhui Wang, Pengcheng He, Xiaoyang Tan:
Greedy Multi-step Off-Policy Reinforcement Learning. - Felipe Cucker, Alperen Ali Ergür, Josué Tonelli-Cueto:
Functional norms, condition numbers and numerical algorithms in algebraic geometry. - Reut Levi, Nadav Shoshan:
Testing Hamiltonicity (and other problems) in Minor-Free Graphs. - Marco Wallner, Daniel Steininger, Verena Widhalm, Matthias Schörghuber, Csaba Beleznai:
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety. - Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu:
Rethinking Natural Adversarial Examples for Classification Models. - Zhengyu Liu, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Yuming Yin, Ziyu Lin, Qi Sun, Bo Cheng:
Recurrent Model Predictive Control. - Muneer Ahmad, M. Sadik Batcha:
Coronary Artery Disease Research in India: A Scientometric Assessment of Publication during 1990-2019. - Maria Refinetti, Sebastian Goldt, Florent Krzakala, Lenka Zdeborová:
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed. - Kyle Mills, Isaac Tamblyn:
Weakly-supervised multi-class object localization using only object counts as labels. - Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Uncertainty-aware Generalized Adaptive CycleGAN. - Louis Fournier, Ewan Dunbar:
Paraphrases do not explain word analogies. - Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling:
Deep Policy Dynamic Programming for Vehicle Routing Problems. - Zhisheng Xiao, Qing Yan, Yali Amit:
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. - Sam Witty, David D. Jensen, Vikash Mansinghka:
A Simulation-Based Test of Identifiability for Bayesian Causal Inference. - Omkar Shelke, Hardik Meisheri, Harshad Khadilkar:
School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget. - Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob:
Quantum Entropic Causal Inference. - Antonio Joia Neto, André G. C. Pacheco, Diogo C. Luvizon:
Improving Deep Learning Sound Events Classifiers using Gram Matrix Feature-wise Correlations. - Mark Vella, Christian Colombo:
SpotCheck: On-Device Anomaly Detection for Android. - Carlos Leandro Gomes Batista, André Corsetti, Fátima Mattiello-Francisco:
Using Fault Injection on the Nanosatellite Subsystems Integration Testing. - Yasir Mahmood, Arne Meier, Johannes Schmidt:
Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework. - Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeL: Quantized Personalization with Applications to Federated Learning. - Kin Max Piamolini Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi:
Inferring Agents Preferences as Priors for Probabilistic Goal Recognition. - Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan:
CIAO: An Optimization Framework for Client-Assisted Data Loading. - Su Feng, Aaron Huber, Boris Glavic, Oliver Kennedy:
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds (extended version). - Pawel Gawrychowski, Wojciech Janczewski:
Conditional Lower Bounds for Variants of Dynamic LIS. - Jan Blechschmidt, Oliver G. Ernst:
Three Ways to Solve Partial Differential Equations with Neural Networks - A Review. - Anna Karina Fontes Gomes, Margarete Oliveira Domingues, Odim Mendes, Kai Schneider:
Adaptive two- and three-dimensional multiresolution computations of resistive magnetohydrodynamics. - Toshiko Matsui, Daniel Perez:
Data-driven analysis of central bank digital currency (CBDC) projects drivers. - Meng Zhang, Duygu Ceylan, Tuanfeng Y. Wang, Niloy J. Mitra:
Dynamic Neural Garments. - Konrad Kollnig, Siddhartha Datta, Max Van Kleek:
I Want My App That Way: Reclaiming Sovereignty Over Personal Devices. - Navid Reyhanian, Jarvis Haupt:
Online Stochastic Gradient Descent Learns Linear Dynamical Systems from A Single Trajectory. - Ioanna Mitsioni, Joonatan Mänttäri, Yiannis Karayiannidis, John Folkesson, Danica Kragic:
Interpretability in Contact-Rich Manipulation via Kinodynamic Images. - Sergey Goncharov:
Uniform Elgot Iteration in Foundations. - Maximilian Mordig, Riccardo Della Vecchia, Nicolò Cesa-Bianchi, Bernhard Schölkopf:
Multi-Sided Matching Markets with Consistent Preferences and Cooperative Partners. - Oldrich Kodym, Michal Hradis:
Page Layout Analysis System for Unconstrained Historic Documents. - Arnulf Jentzen, Timo Kröger:
Convergence rates for gradient descent in the training of overparameterized artificial neural networks with biases. - Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh:
Learning with User-Level Privacy. - Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery. - Saptarshi Purkayastha, Shreya Goyal, Bolu Oluwalade, Tyler Phillips, Huanmei Wu, Xukai Zou:
Usability and Security of Different Authentication Methods for an Electronic Health Records System. - Joshua Brakensiek, Venkatesan Guruswami, Sai Sandeep:
Conditional Dichotomy of Boolean Ordered Promise CSPs. - Hao-Yuan Chang, Kang L. Wang:
Deep Convolutional Neural Networks with Unitary Weights. - Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin:
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. - Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. - Chengyuan Yao, Pavol Bielik, Petar Tsankov, Martin T. Vechev:
Automated Discovery of Adaptive Attacks on Adversarial Defenses. - Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel:
Generative Modelling of BRDF Textures from Flash Images. - Niclas Boehmer, Tomohiro Koana, Rolf Niedermeier:
A Refined Complexity Analysis of Fair Districting over Graphs. - Alvaro Gomariz, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel:
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps. - Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. - Mohamed El Banani, Luya Gao, Justin Johnson:
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. - Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan:
CAC: A Clustering Based Framework for Classification. - Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko:
Good Actors can come in Smaller Sizes: A Case Study on the Value of Actor-Critic Asymmetry. - Mingqiu Du, Georgia Pierrou, Xiaozhe Wang:
Targeted False Data Injection Attack against DC State Estimation without Line Parameters. - Matthew W. Scroggs, Jørgen S. Dokken, Chris N. Richardson, Garth N. Wells:
Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell meshes. - Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Neural Ranking Models for Document Retrieval. - Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka:
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. - Ben Tearle, Kim Peter Wabersich, Andrea Carron, Melanie N. Zeilinger:
A predictive safety filter for learning-based racing control. - Eric Balkanski, Sharon Qian, Yaron Singer:
Instance Specific Approximations for Submodular Maximization. - Yiding Lin:
Transfer function interpolation remainder formula of rational Krylov subspace methods. - Himanshu Patel, Craig Iaboni, Deepan Lobo, Ji-Won Choi, Pramod Abichandani:
Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots. - Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli:
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations. - Dengwang Tang, Hamidreza Tavafoghi, Vijay G. Subramanian, Ashutosh Nayyar, Demosthenis Teneketzis:
Dynamic Games among Teams with Delayed Intra-Team Information Sharing. - Henry Soldano:
Finite Confluences and Closed Pattern Mining. - Yiguang Zhang, Jessy Xinyi Han, Ilica Mahajan, Priyanjana Bengani, Augustin Chaintreau:
Chasm in Hegemony: Explaining and Reproducing Disparities in Homophilous Networks. - Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang:
Investigating Moral Foundations from Web Trending Topics. - Bernardo Alves Furtado:
PolicySpace2: modeling markets and endogenous housing policies. - Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis:
Fair Set Selection: Meritocracy and Social Welfare. - Akshay Sood, Mark Craven:
Feature Importance Explanations for Temporal Black-Box Models. - Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Non-Singular Adversarial Robustness of Neural Networks. - Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon:
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others. - Sigal Gottlieb, Zachary J. Grant, Jingwei Hu, Ruiwen Shu:
High order positivity preserving and asymptotic preserving multi-derivative methods. - Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. - Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez:
Arguments for the Unsuitability of Convolutional Neural Networks for Non-Local Tasks. - Rob P. Stevenson, Raymond van Venetië:
Operator preconditioning: the simplest case. - Kazuto Nakashima, Ryo Kurazume:
Learning to Drop Points for LiDAR Scan Synthesis. - Casey Meehan, Kamalika Chaudhuri:
Location Trace Privacy Under Conditional Priors. - Ramya Srinivasan, Kanji Uchino:
Quantifying Confounding Bias in Generative Art: A Case Study. - Adam Van Etten, Daniel Hogan:
The SpaceNet Multi-Temporal Urban Development Challenge. - William Schultz, Siyuan Zhou, Stavros Tripakis:
Design and Verification of a Logless Dynamic Reconfiguration Protocol in MongoDB Replication. - Michael van Bekkum, Maaike de Boer, Frank van Harmelen, André Meyer-Vitali, Annette ten Teije:
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases. - Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel:
Do Transformer Modifications Transfer Across Implementations and Applications? - S. Roselin Jahina, M. Sadik Batcha, Muneer Ahmad:
Lotka's Law and Pattern of Author Productivity in the Field of Brain Concussion Research: A Scientometric Analysis. - Tzanis Anevlavis, Matthew Philippe, Daniel Neider, Paulo Tabuada:
Being correct is not enough: efficient verification using robust linear temporal logic. - Josh Alman:
Kronecker Products, Low-Depth Circuits, and Matrix Rigidity. - Md. Asifuzzaman Jishan, Md. Shahabub Alam, Afrida Islam, Imran Rashid Mazumder, Khan Reaz Mahmud, Abul Kalam al Azad:
Characterization and recognition of handwritten digits using Julia. - Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. - Ji Zhao, Banglei Guan:
On Relative Pose Recovery for Multi-Camera Systems. - Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergül Aydöre:
Adversarial Robustness with Non-uniform Perturbations. - Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John C. Grundy:
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models. - Jean-Luc Déziel, Pierre Merriaux, Francis Tremblay, Dave Lessard, Dominique Plourde, Julien Stanguennec, Pierre Goulet, Pierre Olivier:
PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset. - Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao:
Understanding and Mitigating Accuracy Disparity in Regression. - Isaac J. Sledge, Darshan W. Bryner, José C. Príncipe:
Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. - Kedar Karpe, Avinash Sinha, Shreyas Raorane, Ayon Chatterjee, Pranav Srinivas, Lorenzo Sabattini:
Towards Optimized Distributed Multi-Robot Printing: An Algorithmic Approach. - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. - Andreas Bueckle, Kilian Buehling, Patrick C. Shih, Katy Börner:
Comparing Completion Time, Accuracy, and Satisfaction in Virtual Reality vs. Desktop Implementation of the Common Coordinate Framework Registration User Interface (CCF RUI). - Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung:
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks. - Gowtham R. Kurri, Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran:
Multiple Access Channel Simulation. - Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
DNN2LR: Automatic Feature Crossing for Credit Scoring. - William Harvey, Saeid Naderiparizi, Frank Wood:
Image Completion via Inference in Deep Generative Models. - Mohamadsaleh Jafari, Md Hasan Shahriar, Mohammad Ashiqur Rahman, Sumit Paudyal:
False Relay Operation Attacks in Power Systems with High Renewables. - John P. Alsterda, J. Christian Gerdes:
Contingency Model Predictive Control for Linear Time-Varying Systems. - Jean-François Chassagneux, Junchao Chen, Noufel Frikha, Chao Zhou:
A learning scheme by sparse grids and Picard approximations for semilinear parabolic PDEs. - Yufei Feng, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou:
Revisit Recommender System in the Permutation Prospective. - Wei Yao, Junyi Ye, Renita Murimi, Guiling Wang:
A Survey on Consortium Blockchain Consensus Mechanisms. - Linan Huang, Quanyan Zhu:
Convergence of Bayesian Nash Equilibrium in Infinite Bayesian Games under Discretization. - Sarah Wiegreffe, Ana Marasovic:
Teach Me to Explain: A Review of Datasets for Explainable NLP. - Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep Video Prediction for Time Series Forecasting. - Nishanth Rao, Suresh Sundaram:
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. - Ru Huang, Ruipeng Li, Yuanzhe Xi:
Learning optimal multigrid smoothers via neural networks. - Junyang Gao, Stavros Sintos, Pankaj K. Agarwal, Jun Yang:
Durable Top-K Instant-Stamped Temporal Records with User-Specified Scoring Functions. - Boaz Shmueli, Lun-Wei Ku, Soumya Ray:
SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media. - Ojas Kanhere, Theodore S. Rappaport:
Position Location for Futuristic Cellular Communications - 5G and Beyond. - Ling Zhang, Baosen Zhang:
An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems. - Lana Sinapayen:
Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence. - Zhuo Li, Xu Zhou, Yang Liu, Congshan Fan, Wei Wang:
A Computation Offloading Model over Collaborative Cloud-Edge Networks with Optimal Transport Theory. - Ishan Sanjeev Upadhyay, Nikhil E, Anshul Wadhawan, Radhika Mamidi:
Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers. - Nazneen N. Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar:
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows. - Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang:
Continuous Mean-Covariance Bandits. - Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever:
Zero-Shot Text-to-Image Generation. - Yang You, Yujing Lou, Ruoxi Shi, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Weiming Wang, Cewu Lu:
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features. - Yihan Du, Yuko Kuroki, Wei Chen:
Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions. - Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha:
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting. - Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji:
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. - Chun'e Zhao, Yuhua Sun, Tongjiang Yan:
Further results on the 2-adic complexity of a class of balanced generalized cyclotomic sequences. - Vitaly Feldman, Kunal Talwar:
Lossless Compression of Efficient Private Local Randomizers. - Je Yang, Seongmin Hong, Joo-Young Kim:
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism. - Ying Wang, Liang Qiao, Chang Xu, Yepang Liu, Shing-Chi Cheung, Na Meng, Hai Yu, Zhiliang Zhu:
Hero: On the Chaos When PATH Meets Modules. - Waqar Hussain, Mojtaba Shahin, Rashina Hoda, Jon Whittle, Harsha Perera, Arif Nurwidyantoro, Rifat Ara Shams, Gillian C. Oliver:
How Can Human Values Be Addressed in Agile Methods? A Case Study on SAFe. - Aso Mahmudi, Hadi Veisi:
Automatic Meter Classification of Kurdish Poems. - Toan Pham Van, Ngoc N. Tran, Ta Minh Thanh:
Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music. - Chun'e Zhao, Wenping Ma, Tongjiang Yan, Yuhua Sun:
A new upper bound and optimal constructions of equi-difference conflict-avoiding codes on constant weight. - Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao:
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. - Lei Zheng, Rui Yang, Zhixuan Wu, Jiesen Pan, Hui Cheng:
Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method. - Toan Pham Van, Son Trung Nguyen, Linh Doan Bao, Ngoc N. Tran, Ta Minh Thanh:
Efficient Palm-Line Segmentation with U-Net Context Fusion Module. - Shaobo Cui, Xintong Bao, Xinxing Zu, Yangyang Guo, Zhongzhou Zhao, Ji Zhang, Haiqing Chen:
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach. - Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, Shiliang Pu:
Self-Domain Adaptation for Face Anti-Spoofing. - Dejun Xu, Min Jiang, Weizhen Hu, Shaozi Li, Renhu Pan, Gary G. Yen:
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization. - Qiaosi Yi, Juncheng Li, Faming Fang, Aiwen Jiang, Guixu Zhang:
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing. - (Withdrawn) Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese.
- Haojie Liu, Shun Ma, Daoxun Xia, Shaozi Li:
SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification. - Shamik Sarkar, Xiang Zhang, Arupjyoti Bhuyan, Mingyue Ji, Sneha Kumar Kasera:
Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing. - Toan Pham Van, Tam Minh Nguyen, Ngoc N. Tran, Hoai Viet Nguyen, Linh Doan Bao, Huy Dao Quang, Ta Minh Thanh:
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning. - You Zhou, Jianfeng Gao, Tamim Asfour:
Learning to Shift Attention for Motion Generation. - Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji:
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. - Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek:
A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. - Gaurav Singh:
Sentiment Analysis of Code-Mixed Social Media Text (Hinglish). - Alexander Felfernig, Christoph Zehentner, Paul Blazek:
CoreDiag: Eliminating Redundancy in Constraint Sets. - Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su, Yu-Cheng Chang, Yu-Hsiang Lin, Jia-Fong Yeh, Winston H. Hsu:
Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection. - Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, Shiliang Pu:
Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition. - Alexandre Fernandez, Luidnel Maignan, Antoine Spicher:
Cellular Automata and Kan Extensions. - Quang Pham Huu, Viet Anh Nguyen, Linh Doan Bao, Ngoc N. Tran, Ta Minh Thanh:
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection. - Thomas Bellotti, Loïc Gouarin, Benjamin Graille, Marc Massot:
Multiresolution-based mesh adaptation and error control for lattice Boltzmann methods with applications to hyperbolic conservation laws. - Toan Pham Van, Ngoc N. Tran, Hoang Pham Minh, Tam Nguyen Minh, Thanh Ta Minh:
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices. - Latif U. Khan, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong:
Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions. - Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel:
Learning to Generate Wasserstein Barycenters. - Sunil Gundapu, Radhika Mamidi:
Multichannel LSTM-CNN for Telugu Technical Domain Identification. - Christian Tomani, Daniel Cremers, Florian Buettner:
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. - Kirill Serkh, Vladimir Rokhlin:
A Provably Componentwise Backward Stable O(n2) QR Algorithm for the Diagonalization of Colleague Matrices. - Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex:
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. - Noga Bar, Tomer Koren, Raja Giryes:
Multiplicative Reweighting for Robust Neural Network Optimization. - Alexandre Borges, Arlindo L. Oliveira:
Combining Off and On-Policy Training in Model-Based Reinforcement Learning. - Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier:
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. - Steffen van Bergerem, Martin Grohe, Martin Ritzert:
On the Parameterized Complexity of Learning Logic. - Zhuoling Li, Haohan Wang, Tymoteusz Swistek, Weixin Chen, Yuanzheng Li, Haoqian Wang:
Enabling the Network to Surf the Internet. - Eyal Ben-David, Nadav Oved, Roi Reichart:
PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains. - Tong Han, Yanbo Chen, Jin Ma:
Research on False Data Injection Attacks in VSC-HVDC Systems. - Enoch Lee, Xuekai Cen, Hong K. Lo, Ka-Fai Ng:
Designing zonal-based flexible bus services under stochatic demand. - Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Unsupervised semantic discovery through visual patterns detection. - Wei Ouyang, Yuanxin Wu:
A Trident Quaternion Framework for Inertial-based Navigation Part I: Rigid Motion Representation and Computation. - Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy:
Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures. - Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. - Wei Ouyang, Yuanxin Wu:
A Trident Quaternion Framework for Inertial-based Navigation Part II: Error Models and Application to Initial Alignment. - Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry:
A CP-Net based Qualitative Composition Approach for an IaaS Provider. - Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry:
Long-term IaaS Provider Selection using Short-term Trial Experience. - Sameera Horawalavithana, Ravindu De Silva, Mohamed Nabeel, Charitha Elvitigala, Primal Wijesekera, Adriana Iamnitchi:
Malicious and Low Credibility URLs on Twitter during COVID-19. - Andrea Galassi, Marco Lippi, Paolo Torroni:
Multi-Task Attentive Residual Networks for Argument Mining. - Severiano González-Pinto, Domingo Hernández-Abreu:
Convergence in the maximum norm of ADI-type methods for parabolic problems. - Kenshin Abe, Takanori Maehara, Issei Sato:
Abelian Neural Networks. - Xuejun Li, Tianxiang Chen, Dong Yuan, Jia Xu, Xiao Liu:
A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing. - Meena Jagadeesan, Ilya P. Razenshteyn, Suriya Gunasekar:
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm. - Matthias Kümmerer, Matthias Bethge:
State-of-the-Art in Human Scanpath Prediction. - Eoin Brophy, Maarten De Vos, Geraldine B. Boylan, Tomás Ward:
Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach. - Jiale Chen, Yuqing Kong, Yuxuan Lu:
Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective. - Martin Higgins, Jiawei Zhang, Ning Zhang, Fei Teng:
Topology Learning Aided False Data Injection Attack without Prior Topology Information. - Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo:
Localization Distillation for Object Detection. - Gunjan Chhablani, Yash Bhartia, Abheesht Sharma, Harshit Pandey, Shan Suthaharan:
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. - Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash:
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. - Tianze Rong, Hongxiang Cai, Yichao Xiong:
An Enhanced Prohibited Items Recognition Model. - Gordon Buck, Andreas Vlachos:
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning. - Xiaozhou Li, Sergio Moreschini:
OSS PESTO: An Open Source Software Project Evaluation and Selection TOol. - Alberto Sonnino:
Scaling Distributed Ledgers and Privacy-Preserving Applications. - Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints. - Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor:
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks. - Rohit Salgotra, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim, Amiram Moshaiov:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. - Jinyin Chen, Xiang Lin, Dunjie Zhang, Wenrong Jiang, Guohan Huang, Hui Xiong, Yun Xiang:
Graphfool: Targeted Label Adversarial Attack on Graph Embedding. - Jie Guo, Bingyang Hu, Yanjun Chen, Yuanqi Li, Yanwen Guo, Ling-Qi Yan:
Rendering Discrete Participating Media with Geometrical Optics Approximation. - Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò:
Automatic Feature Extraction for Heartbeat Anomaly Detection. - Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. - Sergey Nesteruk, Dmitrii Shadrin, Mariia Pukalchik:
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case. - Tanmoy Kundu, Indranil Saha:
Mobile Recharger Path Planning and Recharge Scheduling in a Multi-Robot Environment. - Aditya Desai, Benjamin Coleman, Anshumali Shrivastava:
Density Sketches for Sampling and Estimation. - Rajmund Nagy, Taras Kucherenko, Birger Moëll, André Pereira, Hedvig Kjellström, Ulysses Bernardet:
A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents. - Honggang Hu, Bei Wang, Xianhong Xie, Yiyuan Luo:
Two Problems about Monomial Bent Functions. - Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner:
Phragmén's Voting Methods and Justified Representation. - Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman:
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments. - Daniel Neimark, Omri Bar, Maya Zohar, Gregory D. Hager, Dotan Asselmann:
"Train one, Classify one, Teach one" - Cross-surgery transfer learning for surgical step recognition. - Xiang Li, Yuzheng Chen, Rakesh Patibanda, Florian 'Floyd' Mueller:
vrCAPTCHA: Exploring CAPTCHA Designs in Virtual Reality. - Yi Li, Honghao Lin, David P. Woodruff:
Learning-Augmented Sketches for Hessians. - Osama Mazhar, Jens Kober, Robert Babuska:
GEM: Glare or Gloom, I Can Still See You - End-to-End Multimodal Object Detector. - Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. - Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Michael Jeran:
An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment. - Matthias Aßenmacher, Alessandra Corvonato, Christian Heumann:
Re-Evaluating GermEval17 Using German Pre-Trained Language Models. - Keisuke Okumura, Yasumasa Tamura, Xavier Défago:
Iterative Refinement for Real-Time Multi-Robot Path Planning. - Rick Wallace Kenyon, Amirhossein Sajadi, Bri-Mathias S. Hodge:
Frequency Dynamics with Grid Forming Inverters: A New Stability Paradigm. - Frederic Jumelle, Kelvin So, Didan Deng:
Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself. - Zijing Liu, Mauricio Barahona:
Similarity measure for sparse time course data based on Gaussian processes. - Lingheng Meng, Rob Gorbet, Dana Kulic:
Memory-based Deep Reinforcement Learning for POMDP. - Timothy Werquin, Mathijs Hubrechtsen, Ashok Thangarajan, Frank Piessens, Jan Tobias Mühlberg:
Automated Fuzzing of Automotive Control Units. - Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculín, Petros Zerfos:
AutoAI-TS: AutoAI for Time Series Forecasting. - Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Classification of the streaming approximability of Boolean CSPs. - Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf:
Nonlinear Invariant Risk Minimization: A Causal Approach. - Flávio Arthur O. Santos, Cleber Zanchettin, Leonardo N. Matos, Paulo Novais:
On the Impact of Interpretability Methods in Active Image Augmentation Method. - Qunsong Zeng, Yuqing Du, Kaibin Huang:
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer. - Martino Trevisan, Danilo Giordano, Idilio Drago, Ali Safari Khatouni:
Measuring HTTP/3: Adoption and Performance. - Ayesha Qamar, Tehreem Javed, Mirza Omer Beg:
Detecting Compliance of Privacy Policies with Data Protection Laws. - Aymeric Vié:
Modelling SARS-CoV-2 coevolution with genetic algorithms. - Paul Magron, Cédric Févotte:
Neural content-aware collaborative filtering for cold-start music recommendation. - Luis Galárraga, Olivier Pelgrin, Alexandre Termier:
HiPaR: Hierarchical Pattern-aided Regression. - Dennis J. N. J. Soemers, Vegard Mella, Éric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud:
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants. - Madeline Endres, Zachary Karas, Xiaosu Hu, Ioulia Kovelman, Westley Weimer:
Relating Reading, Visualization, and Coding forNew Programmers: A Neuroimaging Study. - Jiajun Zhang, Ke-Jia Chen, Yunyun Wang:
Pre-Training on Dynamic Graph Neural Networks. - Abhinav Tamaskar, Roy Rinberg, Sunandan Chakraborty, Bud Mishra:
Creolizing the Web. - Tefjol Pllaha, Olav Tirkkonen, A. Robert Calderbank:
Binary Subspace Chirps. - Carlos Leandro Gomes Batista, Fátima Mattiello-Francisco:
Modelling a CubeSat-based Space Mission and its Operation. - Jiarong Lin, Chunran Zheng, Wei Xu, Fu Zhang:
R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping. - Charlotte Stix:
Actionable Principles for Artificial Intelligence Policy: Three Pathways. - Akshat Gupta, Sai Krishna Rallabandi, Alan W. Black:
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data. - Liu Liu, Tieyong Zeng, Zecheng Zhang:
A deep neural network approach on solving the linear transport model under diffusive scaling. - Kaiquan Wu, Gabriele Liga, Alireza Sheikh, Frans M. J. Willems, Alex Alvarado:
Temporal Energy Analysis of Symbol Sequences for Fiber Nonlinear Interference Modelling via Energy Dispersion Index. - Antti Koskela, Antti Honkela:
Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT. - Alexander Felfernig, Nava Tintarev, Thi Ngoc Trang Tran, Martin Stettinger:
Designing Explanations for Group Recommender Systems. - Jaemin Choi, Zane Fink, Sam White, Nitin Bhat, David F. Richards, Laxmikant V. Kalé:
GPU-aware Communication with UCX in Parallel Programming Models: Charm++, MPI, and Python. - Shreya Gupta, V. Lalitha:
Rack-Aware Cooperative Regenerating Codes. - David Raposo, Samuel Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt M. Botvinick, Hado van Hasselt, H. Francis Song:
Synthetic Returns for Long-Term Credit Assignment. - Hendrig Sellik, Onno van Paridon, Georgios Gousios, Maurício Finavaro Aniche:
Learning Off-By-One Mistakes: An Empirical Study. - Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao:
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. - Keidai Iiyama, Kento Tomita, Bhavi A. Jagatia, Tatsuwaki Nakagawa, Koki Ho:
Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers. - Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad:
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. - Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
A Straightforward Framework For Video Retrieval Using CLIP. - Georgiana Caltais, Hünkar Can Tunç:
Explaining Safety Failures in NetKAT. - Julian Roth, Max Schröder, Thomas Wick:
Neural network guided adjoint computations in dual weighted residual error estimation. - Yonatan Belinkov:
Probing Classifiers: Promises, Shortcomings, and Alternatives. - Mihnea C. Moldoveanu, Joel A. C. Baum:
Epistemic Networks. - Tao Lei:
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute. - Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian:
MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings. - Anurag Sarkar, Seth Cooper:
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder. - David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause:
Information Directed Reward Learning for Reinforcement Learning. - Zhiyuan Li, Sadhika Malladi, Sanjeev Arora:
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs). - Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. - Thomas Hardjono:
Attestation Infrastructures for Private Wallets. - Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Junko Tokuno, Toyofumi Fengshi Chen-Yoshikawa, Tetsuya Matsuda:
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks. - Lucie-Aimée Kaffee, Hady ElSahar:
References in Wikipedia: The Editors' Perspective. - Autumn Toney:
A Large-Scale, Automated Study of Language Surrounding Artificial Intelligence. - Jazlyn Hellman, Jinghui Cheng, Jin L. C. Guo:
Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop. - Diego F. Salazar-D'Antonio, Gustavo A. Cardona, David Saldaña:
The Catenary Robot: Design and Control of a Cable Propelled by Two Quadrotors. - Marcela G. dos Santos, Fábio Petrillo:
Software Engineering for Robotic Systems: a systematic mapping study. - Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff:
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. - Constantin Philippenko, Aymeric Dieuleveut:
Preserved central model for faster bidirectional compression in distributed settings. - Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik:
SALSA: Self-Adjusting Lean Streaming Analytics. - Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson:
Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding. - Masuda Akter Tonima, F. M. Anim Hossain, Austin Dehart, Youmin Zhang:
Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach. - Wei Sun, Franklin Mingzhe Li, Benjamin Steeper, Songlin Xu, Feng Tian, Cheng Zhang:
TeethTap: Recognizing Discrete Teeth Gestures Using Motion and Acoustic Sensing on an Earpiece. - Ciyuan Zhang, Humphrey C. H. Leung, Brooks Butler, Philip E. Paré:
Estimation and Distributed Eradication of SIR Epidemics on Networks. - Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. - Rolf Morel, Andrew Cropper:
Learning Logic Programs by Explaining Failures. - Rolf Morel:
Refinement Type Directed Search for Meta-Interpretive-Learning of Higher-Order Logic Programs. - David Livingston McPherson, Kaylene C. Stocking, S. Shankar Sastry:
Maximum Likelihood Constraint Inference from Stochastic Demonstrations. - Yigit Alparslan, Edward Kim:
Robust SleepNets. - Xing Wang, Alexander Vinel:
Benchmarking Graph Neural Networks on Link Prediction. - Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar:
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. - Ralf Hielscher, Laura Lippert:
Approximating the Derivative of Manifold-valued Functions. - Sherlock A. Licorish, Stephen G. MacDonell:
Communication and Personality Profiles of Global Software Developers. - Emmanuel Maqueda, Javier Alvarez-Jimenez, Carlos Mena, Iván Meza:
Triplet loss based embeddings for forensic speaker identification in Spanish. - Sherlock A. Licorish, Stephen G. MacDonell, Tony Clear:
Analyzing Confidentiality and Privacy Concerns: Insights from Android Issue Logs. - Apoorva Sharma, Navid Azizan, Marco Pavone:
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks. - Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gürkan Öztürk:
Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition. - Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. - Vicky H. Mak-Hau, John Yearwood, William Moran:
Knowledge engineering mixed-integer linear programming: constraint typology. - Yuanpeng He:
Ordinal relative belief entropy. - Alexander S. Kulikov, Nikita Slezkin:
SAT-based Circuit Local Improvement. - Bojing Feng, Wenfang Xue:
Contrastive Pre-training for Imbalanced Corporate Credit Ratings. - Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos:
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. - Fatoumata Dama, Christine Sinoquet:
Partially Hidden Markov Chain Linear Autoregressive model: inference and forecasting. - Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain:
Towards Safe Continuing Task Reinforcement Learning. - Andrew Lowy, Rakesh Pavan, Sina Baharlouei, Meisam Razaviyayn, Ahmad Beirami:
FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information. - Haitao Wang:
A New Algorithm for Euclidean Shortest Paths in the Plane. - April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan:
Themisto: Towards Automated Documentation Generation in Computational Notebooks. - Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen:
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. - Angelina Wang, Olga Russakovsky:
Directional Bias Amplification. - Takuro Hoshi, Yohei Baba, Gaurang Gavai:
Railway Anomaly detection model using synthetic defect images generated by CycleGAN. - Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar:
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions. - Sajib Mistry, Sheik Mohammad Mostakim Fattah, Athman Bouguettaya:
Sequential Learning-based IaaS Composition. - Aref Darzi, Vanessa Frías-Martínez, Sepehr Ghader, Hannah Younes, Lei Zhang:
Constructing Evacuation Evolution Patterns and Decisions Using Mobile Device Location Data: A Case Study of Hurricane Irma. - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. - Nahyun Kwon, Chen Liang, Jeeeun Kim:
3D4ALL: Toward an Inclusive Pipeline to Classify 3D Contents. - Asaf B. Cassel, Tomer Koren:
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret. - Álvaro García-Recuero:
Approximate Privacy-Preserving Neighbourhood Estimations. - Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. - Xing Han, Sambarta Dasgupta, Joydeep Ghosh:
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. - Yingqiang Qiu, Xin Chen, Qichao Ying, Huanqiang Zeng, Zhenxing Qian, Xinpeng Zhang:
High-Capacity Reversible Data Hiding in Encrypted Image Using Pixel Predictions and Huffman Encoding. - Nicholas Watters, Joshua B. Tenenbaum, Mehrdad Jazayeri:
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience. - Youqing Wu, Wenjing Ma, Zhaoxia Yin:
High-Capacity Reversible Data Hiding in Encrypted Images using Adaptive Encoding. - Ba Dung Le, Tanveer A. Zia:
Discrete Distribution Estimation with Local Differential Privacy: A Comparative Analysis. - Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Guiying Yan, Zhiming Ma:
On the Weight Spectrum of Pre-Transformed Polar Codes. - Geoffrey E. Hinton:
How to represent part-whole hierarchies in a neural network. - Yongxin Chen, Tryphon T. Georgiou, Michele Pavon:
Optimal steering to invariant distributions for networks flows. - Toshiaki Koike-Akino, Ye Wang:
Protograph-Based Design for QC Polar Codes. - Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. - Amal Alabdulkarim, Siyan Li, Xiangyu Peng:
Automatic Story Generation: Challenges and Attempts. - Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar:
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment. - Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao:
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results. - Tatsuya Matsuoka, Naoto Ohsaka:
Spanning Tree Constrained Determinantal Point Processes are Hard to (Approximately) Evaluate. - Hadi Alasti:
Adapting legacy robotic machinery to industry 4: a ciot experiment version 1. - Yudan Liu, Joycer Osorio, Hamid R. Ossareh:
Preview Reference Governors. - Xiuqin Xu, Ying Chen:
Deep Stochastic Volatility Model. - Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi:
Distributionally Robust Federated Averaging. - Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar:
Online Learning for Unknown Partially Observable MDPs. - Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu:
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition. - Xuesu Xiao, Joydeep Biswas, Peter Stone:
Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain. - Hiroyasu Tsukamoto, Soon-Jo Chung:
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach. - Xingjie Li, Fei Lu, Felix X.-F. Ye:
ISALT: Inference-based schemes adaptive to large time-stepping for locally Lipschitz ergodic systems. - Azarakhsh Keipour, Guilherme A. S. Pereira, Sebastian A. Scherer:
Real-Time Ellipse Detection for Robotics Applications. - Boer Lyu, Lu Chen, Su Zhu, Kai Yu:
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching. - Gaofeng Cheng, Huan Chen, Pingzhi Fan, Li Li, Li Hao:
A Layered Grouping Random Access Scheme Based on Dynamic Preamble Selection for Massive Machine Type Communications. - Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu:
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. - Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. - Sooyong Jang, Radoslav Ivanov, Insup Lee, James Weimer:
Confidence Calibration with Bounded Error Using Transformations. - Jakub Maksymilian Fober:
Azimuthal Anamorphic Ray-map for Immersive Renders in Perspective. - Claire Liang, Wil Thomason, Elizabeth Ricci, Soham Sankaran:
Ensuring Progress for Multiple Mobile Robots via Space Partitioning, Motion Rules, and Adaptively Centralized Conflict Resolution. - Zhenhong Zhang, Aiqiu Wei, Yu Cai:
A flapping feathered wing-powered aerial vehicle. - Aiden A. Bruen:
New identities for the Shannon function and applications. - Lubin Chang, Fangjun Qin, Jiangning Xu:
Strapdown Inertial Navigation System Initial Alignment based on Group of Double Direct Spatial Isometries. - Marzieh Masoumi, Ahmad Keshavarz, Reza Fotohi:
File fragment recognition based on content and statistical features. - Nazanin Sabri, Ali Edalat, Behnam Bahrak:
Sentiment Analysis of Persian-English Code-mixed Texts. - Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu:
LazyFormer: Self Attention with Lazy Update. - Michael Maiworm, Christian Wagner, Taner Esat, Philipp Leinen, Ruslan Temirov, Rolf Findeisen, F. Stefan Tautz:
Control of Scanning Quantum Dot Microscopy. - Alberto Bucci, Federico Poloni:
A continuation method for computing the multilinear Pagerank. - Kihyun Kim, Insoon Yang:
Distributional robustness in minimax linear quadratic control with Wasserstein distance. - Hoda Taheri, Faeze Ramezani, Neda Mohammadi, Parisa Khoshdel, Bahareh Taghavi, Neda Khorasani, Saeid Abrishami, Abbas Rasoolzadegan:
Cloud Broker: A Systematic Mapping Study. - Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein:
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. - Katherine J. Mimnaugh, Markku Suomalainen, Israel Becerra, Eliezer Lozano, Rafael Murrieta-Cid, Steven M. LaValle:
Defining Preferred and Natural Robot Motions in Immersive Telepresence from a First-Person Perspective. - Jing Dong, Ke Li, Shuai Li, Baoxiang Wang:
Combinatorial Bandits under Strategic Manipulations. - Léonard Kwuida, Dmitry I. Ignatov:
On Interpretability and Similarity in Concept-Based Machine Learning. - Yingbai Hu, Jian Li, Yongquan Chen, Qiwen Wang, Chuliang Chi, Heng Zhang, Qing Gao, Yuanmin Lan, Zheng Li, Zonggao Mu, Zhenglong Sun, Alois C. Knoll:
Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling. - Akhila Sri Manasa Venigalla, Sridhar Chimalakonda:
What's in a GitHub Repository? - A Software Documentation Perspective. - William H. B. Smith, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
Scene Retrieval for Contextual Visual Mapping. - Shravan Narayan, Craig Disselkoen, Daniel Moghimi, Sunjay Cauligi, Evan Johnson, Zhao Gang, Anjo Vahldiek-Oberwagner, Ravi Sahita, Hovav Shacham, Dean M. Tullsen, Deian Stefan:
Swivel: Hardening WebAssembly against Spectre. - Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving Approximate Optimal Transport Distances using Quantization. - Jeongmin Chae, Song-Nam Hong:
Distributed Online Learning with Multiple Kernels. - Miriam García Soto, Thomas A. Henzinger, Christian Schilling:
Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data. - Erik Daniel, Florian Tschorsch:
IPFS and Friends: A Qualitative Comparison of Next Generation Peer-to-Peer Data Networks. - Aravind Sankaran, Paolo Bientinesi:
Performance Comparison for Scientific Computations on the Edge via Relative Performance. - Konstantinos Demertzis:
Blockchained Federated Learning for Threat Defense. - Shota Kameyama, Keisuke Okumura, Yasumasa Tamura, Xavier Défago:
Active Modular Environment for Robot Navigation. - Muhammad Imran, Valentin Kuznetsov, Lina Marcella, Katarzyna Maria Dziedziniewicz-Wojcik, Andreas Pfeiffer, Panos Paparrigopoulos:
Migration of CMSWEB Cluster at CERN to Kubernetes. - Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu:
Domain Adaptation for Learning Generator from Paired Few-Shot Data. - Vincent Zhuang, Yanan Sui:
No-Regret Reinforcement Learning with Heavy-Tailed Rewards. - Martin Grambow, Tobias Pfandzelter, Luk Burchard, Carsten Schubert, Max Xiaohang Zhao, David Bermbach:
BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms. - Omar Cheikhrouhou, Ines Khoufi:
A Comprehensive Survey on the Multiple Travelling Salesman Problem: Applications, Approaches and Taxonomy. - Fengshi Tian, Jie Yang, Shiqi Zhao, Mohamad Sawan:
A New Neuromorphic Computing Approach for Epileptic Seizure Prediction. - Matthias Grundmann, Hedwig Amberg, Hannes Hartenstein:
On the Estimation of the Number of Unreachable Peers in the Bitcoin P2P Network by Observation of Peer Announcements. - Yuqiang Xie, Luxi Xing, Wei Peng, Yue Hu:
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation. - Elena Celledoni, Ergys Çokaj, Andrea Leone, Davide Murari, Brynjulf Owren:
Lie Group integrators for mechanical systems. - Harshay Shah, Prateek Jain, Praneeth Netrapalli:
Do Input Gradients Highlight Discriminative Features? - Clement Courbet:
NSan: A Floating-Point Numerical Sanitizer. - Antonio Fernández Anta, Chryssis Georgiou, Theophanis Hadjistasi, Nicolas Nicolaou, Efstathios Stavrakis, Andria Trigeorgi:
Fragmented Objects: Boosting Concurrency of SharedLarge Objects. - Yuval Emek, Eyal Keren:
A Thin Self-Stabilizing Asynchronous Unison Algorithm with Applications to Fault Tolerant Biological Networks. - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. - Johannes Hofmann:
libtxsize - a library for automated Bitcoin transaction-size estimates. - Massimo Stella:
Cognitive network science for understanding online social cognitions: A brief review. - Farshad Rostami Ghadi, Ghosheh Abed Hodtani, Francisco Javier López-Martínez:
The Role of Correlation in the Doubly Dirty Fading MAC with Side Information at the Transmitters. - Jinrong Yang, Shengkai Wu, Lijun Gou, Hangcheng Yu, Chenxi Lin, Jiazhuo Wang, Minxuan Li, Xiaoping Li:
SCD: A Stacked Carton Dataset for Detection and Segmentation. - Samuel Horváth, Aaron Klein, Peter Richtárik, Cédric Archambeau:
Hyperparameter Transfer Learning with Adaptive Complexity. - Christos Pelekis, Panagiotis Promponas, Juan Alvarado, Eirini-Eleni Tsiropoulou, Symeon Papavassiliou:
A Fragile multi-CPR Game. - Massimo Equi, Tuukka Norri, Jarno Alanko, Bastien Cazaux, Alexandru I. Tomescu, Veli Mäkinen:
Algorithms and Complexity on Indexing Founder Graphs. - Raoul Dinaux, Nikhil Wessendorp, Julien Dupeyroux, Guido de Croon:
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow. - Sangsoo Park, Sung Gwan Park, Bastien Cazaux, Kunsoo Park, Eric Rivals:
A Linear Time Algorithm for Constructing Hierarchical Overlap Graphs. - Petr Kuznetsov, Andrei Tonkikh, Yan X. Zhang:
Revisiting Optimal Resilience of Fast Byzantine Consensus. - Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio:
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. - Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen:
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning. - Alexander Tong, Guillaume Huguet, Amine Natik, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Guy Wolf, Smita Krishnaswamy:
Diffusion Earth Mover's Distance and Distribution Embeddings. - Baike She, Ji Liu, Shreyas Sundaram, Philip E. Paré:
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics. - Robin Mamié, Manoel Horta Ribeiro, Robert West:
Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTube. - Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux:
A deep perceptual metric for 3D point clouds. - Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo:
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames. - Hans-Peter Deifel, Stefan Milius, Thorsten Wißmann:
Coalgebra Encoding for Efficient Minimization. - Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Casimiro Pio Carrino, Ona de Gibert, Aitor Gonzalez-Agirre, Marta Villegas:
Spanish Biomedical and Clinical Language Embeddings. - Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov:
Generalized Adversarial Distances to Efficiently Discover Classifier Errors. - Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis, Dimitri Kartsaklis, Bob Coecke:
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer. - Zihan Jiang, Wanling Gao, Fei Tang, Xingwang Xiong, Lei Wang, Chuanxin Lan, Chunjie Luo, Hongxiao Li, Jianfeng Zhan:
HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking. - M. Alex O. Vasilescu, Eric Kim, Xiao S. Zeng:
CausalX: Causal Explanations and Block Multilinear Factor Analysis. - Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan:
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic. - Jan Hofmann, Enrica Troiano, Roman Klinger:
Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations. - Shun Zhang, Yushan Liu, Feifei Gao, Chengwen Xing, Jianping An, Octavia A. Dobre:
Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions. - Adrian Korban, Serap Sahinkaya, Deniz Ustun:
New Singly and Doubly Even Binary [72, 36, 12] Self-Dual Codes from M2(R)G - Group Matrix Rings. - Yuhang Zang, Chen Huang, Chen Change Loy:
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation. - Yun Shen, Pierre-Antoine Vervier, Gianluca Stringhini:
Understanding Worldwide Private Information Collection on Android. - Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. - Dominik Scheinert, Alexander Acker:
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. - Ariel Kulik, Roy Schwartz, Hadas Shachnai:
A Faster Tight Approximation for Submodular Maximization Subject to a Knapsack Constraint. - Prerona Chatterjee, Kshitij Gajjar, Jaikumar Radhakrishnan, Girish Varma:
Generalized Parametric Path Problems. - Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. - Luigi Campanaro, Siddhant Gangapurwala, Daniele De Martini, Wolfgang Merkt, Ioannis Havoutis:
CPG-ACTOR: Reinforcement Learning for Central Pattern Generators. - Marc Brooker, Adrian Costin Catangiu, Mike Danilov, Alexander Graf, Colm MacCárthaigh, Andrei Sandu:
Restoring Uniqueness in MicroVM Snapshots. - Soheil Sadeghi, Somit Gupta, Stefan Gramatovici, Jiannan Lu, Hao Ai, Ruhan Zhang:
Novelty and Primacy: A Long-Term Estimator for Online Experiments. - Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu:
Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. - Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. - Witold Szejgis, Anna Warno, Pawel Góra:
Predicting times of waiting on red signals using BERT. - Yarong Luo, Chi Guo, Shengyong You, Jianlang Hu, Jingnan Liu:
SE2(3) based Extended Kalman Filter for Inertial-Integrated Navigation. - Erika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic:
Mobility for Cellular-Connected UAVs: challenges for the network provider. - Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Self-Tuning for Data-Efficient Deep Learning. - Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules. - Ying Zhang, Meng Yue, Jianhui Wang:
Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning. - Gedaliah Knizhnik, Mark Yim:
Docking and Undocking a Modular Underactuated Oscillating Swimming Robot. - Markus D. Solbach, John K. Tsotsos:
Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks. - M. Sadik Batcha, Younis Rashid Dar, Muneer Ahmad:
Global Research Trends in the Modern Language Journal from 1999 to 2018: A Data-Driven Analysis. - M. Sadik Batcha, Muneer Ahmad:
Publication Trend in an Indian Journal and a Pakistan Journal: A Comparative Analysis using Scientometric Approach. - Peng Yang, Kun Guo, Xing Xi, Tony Q. S. Quek, Xianbin Cao, Chenxi Liu:
Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network. - Jingjing Li, Zhuo Sun, Lei Zhang, Hongyu Zhu:
Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel. - Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid:
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning. - Yu Jian Wu, Hongyi Wang, Yuhong Zhong, Asaf Cidon, Ryan Stutsman, Amy Tai, Junfeng Yang:
BPF for storage: an exokernel-inspired approach. - Keefe Huang, Moritz Krügener, Alistair Brown, Friedrich Menhorn, Hans-Joachim Bungartz, Dirk Hartmann:
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics. - Joery A. de Vries, Ken S. Voskuil, Thomas M. Moerland, Aske Plaat:
Visualizing MuZero Models. - Mustafa Hajij, Ghada Zamzmi, Xuanting Cai:
Persistent Homology and Graphs Representation Learning. - Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz:
Risk factor identification for incident heart failure using neural network distillation and variable selection. - Claudia Fohry:
Checkpointing and Localized Recovery for Nested Fork-Join Programs. - Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto:
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. - Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao:
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. - Kfir Zvi, Gal Oren:
Optimized Memoryless Fair-Share HPC Resources Scheduling using Transparent Checkpoint-Restart Preemption. - Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. - Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li:
Bias-reduced multi-step hindsight experience replay. - Shirantha Welikala, Christos G. Cassandras:
Event-Driven Receding Horizon Control of Energy-Aware Dynamic Agents For Distributed Persistent Monitoring. - Matan Haroush, Tzviel Frostig, Ruth Heller, Daniel Soudry:
Statistical Testing for Efficient Out of Distribution Detection in Deep Neural Networks. - Alexander Haluszczynski, Christoph Räth:
Controlling nonlinear dynamical systems into arbitrary states using machine learning. - Mouna Labiadh, Christian Obrecht, Catarina Ferreira da Silva, Parisa Ghodous:
A microservice-based framework for exploring data selection in cross-building knowledge transfer. - Taraka Rama, Sowmya Vajjala:
Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling? - Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino:
Learning High-Order Interactions via Targeted Pattern Search. - Liren Yu, Jiaming Xu, Xiaojun Lin:
The Power of D-hops in Matching Power-Law Graphs. - Ali Shafti, A. Aldo Faisal:
Non-invasive Cognitive-level Human Interfacing for the Robotic Restoration of Reaching & Grasping. - Usama Mehmood, Stanley Bak, Scott A. Smolka, Scott D. Stoller:
Safe CPS from Unsafe Controllers. - Nils Rethmeier, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives. - Tanmay Rathi, Vipul:
Variable Weights Neural Network For Diabetes Classification. - Mudit Verma, Pradyumna Sinha, Karan Goyal, Apoorva Verma, Seba Susan:
A Novel Framework for Neural Architecture Search in the Hill Climbing Domain. - Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores:
FM2: Field-matrixed Factorization Machines for Recommender Systems. - Jianyu Wang, Xiao-Lei Zhang:
Deep NMF Topic Modeling. - Lukas Christian Høghøj, Erik Albert Träff:
An Advection-Diffusion based Filter for Machinable Designs in Topology Optimization. - Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. - Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi:
Towards Unbiased and Accurate Deferral to Multiple Experts. - Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. - Yulan Zhang, Stefan Steinerberger:
t-SNE, Forceful Colorings and Mean Field Limits. - Zhihao Shi, Chengqi Li, Linhui Dai, Xiaohong Liu, Jun Chen, Timothy N. Davidson:
Learning for Unconstrained Space-Time Video Super-Resolution. - Tanuja Joshi, Shikhar Makker, Hariprasad Kodamana, Harikumar Kandath:
Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process. - Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini:
The PetscSF Scalable Communication Layer. - Rodrigo Frassetto Nogueira, Zhiying Jiang, Jimmy Lin:
Investigating the Limitations of the Transformers with Simple Arithmetic Tasks. - Ryan G. McClarren, James A. Rossmanith, Minwoo Shin:
Semi-implicit Hybrid Discrete (HTN) Approximation of Thermal Radiative Transfer. - Andrea Ranieri, Davide Caputo, Luca Verderame, Alessio Merlo, Luca Caviglione:
Deep Adversarial Learning on Google Home devices. - Yan Zhao, Weihao Zhang, Enyi Tang, Haipeng Cai, Xi Guo, Na Meng:
A Lightweight Approach of Human-Like Playtesting. - Waqas Ali, Muhammad Saleem, Bin Yao, Aidan Hogan, Axel-Cyrille Ngonga Ngomo:
A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs. - Quanquan Gu, Amin Karbasi, Khashayar Khosravi, Vahab S. Mirrokni, Dongruo Zhou:
Batched Neural Bandits. - Rita Parada Ramos, Patrícia Pereira, Helena Moniz, João Paulo Carvalho, Bruno Martins:
Retrieval Augmentation to Improve Robustness and Interpretability of Deep Neural Networks. - Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell:
AutoPreview: A Framework for Autopilot Behavior Understanding. - Amuthan A. Ramabathiran, Prabhu Ramachandran:
SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs. - Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson:
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling. - Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. - Jurek Czyzowicz, Stefan Dobrev, Ryan Killick, Evangelos Kranakis, Danny Krizanc, Lata Narayanan, Jaroslav Opatrny, Denis Pankratov, Sunil M. Shende:
Graph Exploration by Energy-Sharing Mobile Agents. - Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras:
LES: Locally Exploitative Sampling for Robot Path Planning. - Apostolos Chalkis, Vissarion Fisikopoulos, Marios Papachristou, Elias P. Tsigaridas:
Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo. - Isaac A. Spiegel:
Hybrid Systems, Iterative Learning Control, and Non-minimum Phase. - Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora:
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians. - Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo:
Benchmarking and Survey of Explanation Methods for Black Box Models. - Nikola Jovanovic, Zhao Meng, Lukas Faber, Roger Wattenhofer:
Towards Robust Graph Contrastive Learning. - Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Simple multi-dataset detection. - Kenneth Borup, Lars Nørvang Andersen:
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation. - Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney:
On The Effect of Auxiliary Tasks on Representation Dynamics. - Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. - Bryttany Herren, Ahmed Arafa, Karim Banawan:
Download Cost of Private Updating. - Dmitry Chistikov, Rupak Majumdar, Philipp Schepper:
Subcubic Certificates for CFL Reachability. - Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Task-Agnostic Morphology Evolution. - Chengshuai Shi, Cong Shen, Jing Yang:
Federated Multi-armed Bandits with Personalization. - Vasileios Theodorou, Ilias Gerostathopoulos, Iyad Alshabani, Alberto Abelló, David Breitgand:
MEDAL: An AI-driven Data Fabric Concept for Elastic Cloud-to-Edge Intelligence. - Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. - Michael A. Hedderich, Lukas Lange, Dietrich Klakow:
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. - Teodoro Alamo, Daniel Gutiérrez-Reina, Pablo Millán Gata, Victor M. Preciado, Giulia Giordano:
Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing. - Robert F. Bird, Nigel Tan, Scott V. Luedtke, Stephen Lien Harrell, Michela Taufer, Brian J. Albright:
VPIC 2.0: Next Generation Particle-in-Cell Simulations. - Christopher M. Ormerod, Akanksha Malhotra, Amir Jafari:
Automated essay scoring using efficient transformer-based language models. - Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Dimitar Trajanov:
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning. - Lehman H. Garrison, Daniel J. Eisenstein, Nina A. Maksimova:
Checkpointing with cp: the POSIX Shared Memory System. - Jaideep Murkute:
Robust Pollen Imagery Classification with Generative Modeling and Mixup Training. - Ufuk Altun, Günes Kurt, Enver Ozdemir:
The Magic of Superposition: A Survey on the Simultaneous Transmission Based Wireless Systems. - Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang:
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning. - Yuyang Deng, Mehrdad Mahdavi:
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency. - Naoya Takeishi, Alexandros Kalousis:
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling. - Spencer Killen, Jia-Huai You:
Unfounded Sets for Disjunctive Hybrid MKNF Knowledge Bases. - Alireza Karduni, Ryan Wesslen, Douglas Markant, Wenwen Dou:
Images, Emotions, and Credibility: Effect of Emotional Facial Images on Perceptions of News Content Bias and Source Credibility in Social Media. - Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian:
Understanding Robustness in Teacher-Student Setting: A New Perspective. - Hong Sun, Vincenzo De Florio:
Perspectives and solutions towards intelligent ambient assisted living systems. - Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. - Yixin Lin, Austin S. Wang, Akshara Rai:
Efficient and Interpretable Robot Manipulation with Graph Neural Networks. - Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora:
Machine Unlearning via Algorithmic Stability. - Sankha Narayan Guria, Jeffrey S. Foster, David Van Horn:
RbSyn: Type- and Effect-Guided Program Synthesis. - Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li:
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks. - Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Off-Policy Imitation Learning from Observations. - Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik:
Towards a Unified Framework for Fair and Stable Graph Representation Learning. - Daniel Rakita, Haochen Shi, Bilge Mutlu, Michael Gleicher:
CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidance. - Hojjat Salehinejad, Shahrokh Valaee:
A Framework For Pruning Deep Neural Networks Using Energy-Based Models. - Sanjeev Arora, Yi Zhang:
Rip van Winkle's Razor: A Simple Estimate of Overfit to Test Data. - George K. Sidiropoulos, George A. Papakostas:
Machine Biometrics - Towards Identifying Machines in a Smart City Environment. - Chenhao Xie, Xie Li, Yang Hu, Huwan Peng, Michael B. Taylor, Shuaiwen Leon Song:
Q-VR: System-Level Design for Future Mobile Collaborative Virtual Reality. - Fernando Zanferrari Morais, Gabriel Matheus de Almeida, Leizer de Lima Pinto, Kleber Vieira Cardoso, Luis M. Contreras, Rodrigo da Rosa Righi, Cristiano Bonato Both:
PlaceRAN: Optimal Placement for the Virtualized Next-Generation RAN. - Manuel Dubinsky, César Massri, Gabriel Taubin:
Minimum Spanning Tree Cycle Intersection Problem. - Ethan Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh:
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. - David Chiang, Alexander M. Rush, Boaz Barak:
Named Tensor Notation. - Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Petr N. Vabishchevich:
Contrast-independent partially explicit time discretizations for multiscale wave problems. - Noel Csomay-Shanklin, Maegan Tucker, Min Dai, Jenna Reher, Aaron D. Ames:
Learning Controller Gains on Bipedal Walking Robots via User Preferences. - Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou:
Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits. - Reza H. Teshnizi, Dylan A. Shell:
Motion Planning for a Pair of Tethered Robots. - Qipin Chen, Wenrui Hao, Juncai He:
Power series expansion neural network. - Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman, Min Xu, Shouhuai Xu:
Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses. - Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman, Min Xu, Shouhuai Xu:
Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites. - Bo Liu:
Spurious Local Minima Are Common for Deep Neural Networks with Piecewise Linear Activations. - Ali Braytee, Wei Liu:
Learning Discriminative Features using Multi-label Dual Space. - Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai:
Adaptable Hamiltonian neural networks. - Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey:
Adapting to misspecification in contextual bandits with offline regression oracles. - Antonios Saravanos, Dongnanzi Zheng, Stavros Zervoudakis, Donatella Delfino, Laura Hynes-Keller:
An Exploration of Hot-Spots in Locimetric Passwords. - Vassos Hadzilacos, Xing Hu, Sam Toueg:
On Register Linearizability and Termination. - Brennan Saeta, Denys Shabalin, Marc Rasi, Brad Larson, Xihui Wu, Parker Schuh, Michelle Casbon, Daniel Zheng, Saleem Abdulrasool, Aleksandr Efremov, Dave Abrahams, Chris Lattner, Richard Wei:
Swift for TensorFlow: A portable, flexible platform for deep learning. - Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein:
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. - Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel:
Learning Chess Blindfolded: Evaluating Language Models on State Tracking. - Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell, Israel Becerra, Rafael Murrieta-Cid:
On the Visual-based Safe Landing of UAVs in Populated Areas: a Crucial Aspect for Urban Deployment. - Adam Paszke, Brennan Saeta:
Tensors Fitting Perfectly. - Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. - Feng Xue, Junfeng Cao, Yu Zhou, Fei Sheng, Yankai Wang, Anlong Ming:
Boundary-induced and scene-aggregated network for monocular depth prediction. - Yu Shen, Laura Y. Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin:
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images. - Zhiqian Zhou, Pengming Zhu, Zhiwen Zeng, Junhao Xiao, Huimin Lu, Zongtan Zhou:
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning. - Alex Suhan, Davide Libenzi, Ailing Zhang, Parker Schuh, Brennan Saeta, Jie Young Sohn, Denys Shabalin:
LazyTensor: combining eager execution with domain-specific compilers. - Jiameng Fan, Wenchao Li:
Robust Deep Reinforcement Learning via Multi-View Information Bottleneck. - Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. - Youfa Li, Shengli Fan, Yanfen Huang:
Exact recovery of functions in refinable shift-invariant space by single-angle Radon samples. - Jiang Yang, Zhaoming Yuan, Zhi Zhou:
Arbitrarily High-order Maximum Bound Preserving Schemes with Cut-off Postprocessing for Allen-Cahn Equations. - Jingbo Jiang, Xizi Chen, Chi-Ying Tsui:
A Reconfigurable Winograd CNN Accelerator with Nesting Decomposition Algorithm for Computing Convolution with Large Filters. - Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng:
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. - Senthil Hariharan Arul, Dinesh Manocha:
V-RVO: Decentralized Multi-Agent Collision Avoidance using Voronoi Diagrams and Reciprocal Velocity Obstacles. - Junxiao Xue, Xiangyan Kong, Bowei Dong, Mingliang Xu:
Multi-Agent Path Planning based on MPC and DDPG. - Junde Li, Mahabubul Alam, Swaroop Ghosh:
Large-scale Quantum Approximate Optimization via Divide-and-Conquer. - Shuze Liu, Weiran Shen, Haifeng Xu:
Optimal Pricing of Information. - Zhiguang Zhao:
Algorithmic Correspondence for Hybrid Logic with Binder. - Zhiqing Wei, Yadong Zhao, Xinyi Liu, Zhiyong Feng:
DoA-LF: A Location Fingerprint Positioning Algorithm with Millimeter-Wave. - Ashish Shrivastava, Alan Gatherer, Tong Sun, Sushma Wokhlu, Alex Chandra:
SLAP: A Split Latency Adaptive VLIW pipeline architecture which enables on-the-fly variable SIMD vector-length. - Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative SlateRecommendations. - Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-based Semi-supervised Learning: A Comprehensive Review. - Haitong Ma, Xiangteng Zhang, Shengbo Eben Li, Ziyu Lin, Yao Lyu, Sifa Zheng:
Feasibility Enhancement of Constrained Receding Horizon Control Using Generalized Control Barrier Function. - Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. - Viveck R. Cadambe, Shihang Lyu:
CausalEC: A Causally Consistent Data Storage Algorithm based on Cross-Object Erasure Coding. - Jie Zhao, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Efficient Client Contribution Evaluation for Horizontal Federated Learning. - Seogkyu Jeon, Pilhyeon Lee, Kibeom Hong, Hyeran Byun:
Continuous Face Aging Generative Adversarial Networks. - Chun-Hsien Lin, Bing-Fei Wu:
Domain Adapting Ability of Self-Supervised Learning for Face Recognition. - Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu:
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification. - Jinlin Xiang, Shane Colburn, Arka Majumdar, Eli Shlizerman:
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks. - Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu:
Zero-Shot Learning Based on Knowledge Sharing. - Chun-Hsien Lin, Bing-Fei Wu:
Mitigating Domain Mismatch in Face Recognition Using Style Matching. - Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang:
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis. - Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida:
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization. - Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei:
Neural Generalization of Multiple Kernel Learning. - Luca Furieri, Baiwei Guo, Andrea Martin, Giancarlo Ferrari-Trecate:
A Behavioral Input-Output Parametrization of Control Policies with Suboptimality Guarantees. - Parvaneh Asghari, Hamid Haj Seyyed Javadi:
Lightweight Key-Dependent Dynamic S-Boxes based on Hyperelliptic Curve for IoT Devices. - Shahar Dobzinski, Uriel Feige, Michal Feldman:
Are Gross Substitutes a Substitute for Submodular Valuations? - Wei Wang, Xiaofu Xiong, Yufei He, Hongzhou Chen:
Robust Survivability-Oriented Scheduling of Separable Mobile Energy Storage and Demand Response for Isolated Distribution Systems. - Quyu Kong, Manuel García-Herranz, Iván Dotú, Manuel Cebrián:
Contact Tracing: Computational Bounds, Limitations and Implications. - Seokgi Kim, Jihye Park, Kihong Seong, Namwoo Cho, Junho Min, Hwajung Hong:
Music-Circles: Can Music Be Represented With Numbers? - Micha Sende, Melanie Schranz, Gianluca Prato, Etienne Brosse, Omar Morando, Martina Umlauft:
Engineering Swarms of Cyber-Physical Systems with the CPSwarm Workbench. - Andreas Liesenfeld, Gábor Parti, Yu-Yin Hsu, Chu-Ren Huang:
Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features. - Ramin Hashemi, Hamzeh Beyranvand, Mohammad Robat Mili, Hina Tabassum:
Energy Efficiency Maximization in the Uplink Delta-OMA Networks. - Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li:
A Universal Model for Cross Modality Mapping by Relational Reasoning. - Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho:
Average Rate and Error Probability Analysis in Short Packet Communications over RIS-aided URLLC Systems. - Yizhong Liu, Jianwei Liu, Marcos Antonio Vaz Salles, Zongyang Zhang, Tong Li, Bin Hu, Fritz Henglein, Rongxing Lu:
Building Blocks of Sharding Blockchain Systems: Concepts, Approaches, and Open Problems. - Ali Bereyhi, Saba Asaad, Ralf R. Müller:
Oversampled Adaptive Sensing via a Predefined Codebook. - Sakib Zobaed, Mohsen Amini Salehi, Rajkumar Buyya:
SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the Clou. - Jürg Kohlas, Arianna Casanova, Marco Zaffalon:
Information algebras of coherent sets of gambles. - Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. - Rajesh Kumar, Wenyong Wang, Jay Kumar, Zakria, Ting Yang, Waqar Ali, Abubackar Sharif:
IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology. - Alexandre Bruckert, Marc Christie, Olivier Le Meur:
Where to look at the movies : Analyzing visual attention to understand movie editing. - Grischa Liebel, Shalini Chakraborty:
Ethical Issues in Empirical Studies using Student Subjects: Re-visiting Practices and Perceptions. - Rajat Sharma, Tobias Schwandt, Christian Kunert, Steffen Urban, Wolfgang Broll:
Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction. - (Withdrawn) Unifying Remote Sensing Image Retrieval and Classification with Robust Fine-tuning.
- Congcong Wang, David Lillis:
Multi-task transfer learning for finding actionable information from crisis-related messages on social media. - Hao Chen, Weijian Hu, Kailun Yang, Jian Bai, Kaiwei Wang:
Panoramic annular SLAM with loop closure and global optimization. - Mengwu Guo, Andrea Manzoni, Maurice Amendt, Paolo Conti, Jan S. Hesthaven:
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities. - Sihao Sun, Giovanni Cioffi, Coen de Visser, Davide Scaramuzza:
Autonomous Quadrotor Flight despite Rotor Failure with Onboard Vision Sensors: Frames vs. Events. - Davide Andreoletti, Luca Luceri, Tiziano Leidi, Achille Peternier, Silvia Giordano:
The Virtual Emotion Loop: Towards Emotion-Driven Services via Virtual Reality. - Fedor V. Fomin, Petr A. Golovach, Dimitrios M. Thilikos:
Can Romeo and Juliet Meet? Or Rendezvous Games with Adversaries on Graphs. - Rakesh Kumar, Alejandro Martínez, Antonio Gonzalez:
A Variable Vector Length SIMD Architecture for HW/SW Co-designed Processors. - Dávid Terjék:
Moreau-Yosida f-divergences. - Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner:
Iterative SE(3)-Transformers. - Nuno Guimarães, Álvaro Figueira, Luís Torgo:
An organized review of key factors for fake news detection. - Xiongfeng Peng, Zhihua Liu, Qiang Wang, Yun-Tae Kim, Myungjae Jeon:
Accurate Visual-Inertial SLAM by Feature Re-identification. - Jianyi Zhang, Paul Weng:
Safe Distributional Reinforcement Learning. - Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. - Jeyamohan Neera, Xiaomin Chen, Nauman Aslam, Kezhi Wang, Zhan Shu:
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model. - Jiahua Zhang, Kentaro Wada, Takashi Oguchi:
Morning commute in congested urban rail transit system: A macroscopic model for equilibrium distribution of passenger arrivals. - Arnaud Mazier, Alexandre Bilger, Antonio Elia Forte, Igor Peterlík, Jack S. Hale, Stéphane P. A. Bordas:
Inverse deformation analysis: an experimental and numerical assessment using the FEniCS Project. - Juho Hirvonen, Laura Schmid, Krishnendu Chatterjee, Stefan Schmid:
Classifying Convergence Complexity of Nash Equilibria in Graphical Games Using Distributed Computing Theory. - Andrew Dobis, Tjark Petersen, Kasper Juul Hesse Rasmussen, Enrico Tolotto, Hans Jakob Damsgaard, Simon Thye Andersen, Richard Lin, Martin Schoeberl:
Open-Source Verification with Chisel and Scala. - Hendrik Heuer, Daniel Buschek:
Methods for the Design and Evaluation of HCI+NLP Systems. - Yong Liu, Xinghua Zhu, Jianzong Wang, Jing Xiao:
A Quantitative Metric for Privacy Leakage in Federated Learning. - Lam Duc Nguyen, Amari N. Lewis, Israel Leyva-Mayorga, Amelia Regan, Petar Popovski:
B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks. - Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh:
A Regret Minimization Approach to Iterative Learning Control. - Shreyan Chowdhury, Gerhard Widmer:
Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation. - Ion Victor Gosea, Serkan Gugercin:
Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework. - Johannes Rude Jensen, Victor von Wachter, Omri Ross:
Leveraged Trading on Blockchain Technology. - Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Case Level Counterfactual Reasoning in Process Mining. - Yu Liu, Fan Yang, Dominique Ginhac:
ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation. - Omid Mohammadi Kia, Mahmood Neshati, Mahsa Soudi Alamdari:
Open-domain question classification and completion in conversational information search. - Yiding Feng, Jason D. Hartline, Yingkai Li:
Revelation Gap for Pricing from Samples. - Juste Raimbault:
An interdisciplinary bibliometric analysis of models for land-use and transport interactions. - Baptiste Barreau, Laurent Carlier:
History-Augmented Collaborative Filtering for Financial Recommendations. - Sarah Theres Völkel, Daniel Buschek, Malin Eiband, Benjamin R. Cowan, Heinrich Hussmann:
Eliciting and Analysing Users' Envisioned Dialogues with Perfect Voice Assistants. - Rahim Mammadli, Marija Selakovic, Felix Wolf, Michael Pradel:
Learning to Make Compiler Optimizations More Effective. - Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell:
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. - Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer:
AwkwardForth: accelerating Uproot with an internal DSL. - Kuo Yang, Emad A. Mohammed, Behrouz H. Far:
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. - Stefan Blücher, Nils Strodthoff:
PredDiff: Explanations and Interactions from Conditional Expectations. - Xinyan Li, Arindam Banerjee:
Experiments with Rich Regime Training for Deep Learning. - Yitao Han, Shuowen Zhang, Lingjie Duan, Rui Zhang:
Double-IRS Aided MIMO Communication under LoS Channels: Capacity Maximization and Scaling. - Tobias Danczul, Clemens Hofreither:
On Rational Krylov and Reduced Basis Methods for Fractional Diffusion. - Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy:
Nested-block self-attention for robust radiotherapy planning segmentation. - Alexandre Didier, Anilkumar Parsi, Jeremy Coulson, Roy S. Smith:
Robust Adaptive Model Predictive Control of Quadrotors. - Xinyi Wang, Ankur Bapna, Melvin Johnson, Orhan Firat:
Gradient-guided Loss Masking for Neural Machine Translation. - Jingyong Hou, Li Zhang, Yihui Fu, Qing Wang, Zhanheng Yang, Qijie Shao, Lei Xie:
The NPU System for the 2020 Personalized Voice Trigger Challenge. - Aleksei Shahsin, Andrey Belogaev, Artem N. Krasilov, Evgeny M. Khorov:
Adaptive Transmission Parameters Selection Algorithm for URLLC Traffic in Uplink. - Reem S. Alsuhaibani, Christian D. Newman, Michael John Decker, Michael L. Collard, Jonathan I. Maletic:
On the Naming of Methods: A Survey of Professional Developers. - Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework. - Martin Suda:
New Techniques that Improve ENIGMA-style Clause Selection Guidance. - Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger:
Low-Precision Reinforcement Learning. - Carlos Esteve Yagüe, Borjan Geshkovski:
Sparse approximation in learning via neural ODEs. - Facundo Molina, Pablo Ponzio, Nazareno Aguirre, Marcelo F. Frias:
EvoSpex: An Evolutionary Algorithm for Learning Postconditions. - Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra:
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. - Italo Valcy S. Brito:
NDVR: NDN Distance Vector Routing. - Mathilde Veron, Sophie Rosset, Olivier Galibert, Guillaume Bernard:
Evaluate On-the-job Learning Dialogue Systems and a Case Study for Natural Language Understanding. - Swaroopa Dola, Matthew B. Dwyer, Mary Lou Soffa:
Distribution-Aware Testing of Neural Networks Using Generative Models. - Yulin Shao, Deniz Gündüz, Soung Chang Liew:
Federated Edge Learning with Misaligned Over-The-Air Computation. - Yigit Tuncel, Ganapati Bhat, Jaehyun Park, Ümit Y. Ogras:
ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy. - Kiavash Satvat, Maliheh Shirvanian, Nitesh Saxena:
PASSAT: Single Password Authenticated Secret-Shared Intrusion-Tolerant Storage with Server Transparency. - Rebecca Rothermel, Wladimir Panfilenko, Prateek Sharma, Anne Wald, Thomas Schuster, Anne Jung, Stefan Diebels:
A method for determining the parameters in a rheological model for viscoelastic materials by minimizing Tikhonov functionals. - Bernhard Haslhofer, Rainer Stütz, Matteo Romiti, Ross King:
GraphSense: A General-Purpose Cryptoasset Analytics Platform. - Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju:
Towards Robust and Reliable Algorithmic Recourse. - Pavithra Rajendran, Alexandros Zenonos, Josh Spear, Rebecca Pope:
A Meta-embedding-based Ensemble Approach for ICD Coding Prediction. - Jonas Geiping, Liam Fowl, Gowthami Somepalli, Micah Goldblum, Michael Moeller, Tom Goldstein:
What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors. - Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava:
Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion. - Issam Hammad, Ryan Simpson, Hippolyte Djonon Tsague, Sarah Hall:
Using Deep Learning to Automate the Detection of Flaws in Nuclear Fuel Channel UT Scans. - Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl:
Active Selection of Classification Features. - Jakob Heiss, Jakob Weissteiner, Hanna Wutte, Sven Seuken, Josef Teichmann:
NOMU: Neural Optimization-based Model Uncertainty. - Matthias Bentert, Robert Bredereck, Péter Györgyi, Andrzej Kaczmarczyk, Rolf Niedermeier:
A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem. - Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Satoshi Kondo, Emanuele Colleoni, Beatrice van Amsterdam, Razeen Hussain, Raabid Hussain, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc:
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge. - Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra:
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. - (Withdrawn) On the Generalization of Stochastic Gradient Descent with Momentum.
- Christopher Portmann, Renato Renner:
Security in Quantum Cryptography. - Conlain Kelly, Surya R. Kalidindi:
Recurrent Localization Networks applied to the Lippmann-Schwinger Equation. - Pulkit Tandon, Mariana Afonso, Joel Sole, Lukás Krasula:
CAMBI: Contrast-aware Multiscale Banding Index. - Yihong Wu, Jiaming Xu, Sophie H. Yu:
Settling the Sharp Reconstruction Thresholds of Random Graph Matching. - Justin Dumouchelle, Emma Frejinger, Andrea Lodi:
Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems? - Fabrizio Genovese, Jelle Herold:
A Categorical Semantics for Hierarchical Petri Nets. 51-68 - Ivana Malenica, Aurélien Bibaut, Mark J. van der Laan:
Adaptive Sequential Design for a Single Time-Series. - Xiaofei Li:
Semi-supervised Sound Event Detection using Random Augmentation and Consistency Regularization. - Péter Biró, Flip Klijn, Xenia Klimentova, Ana Viana:
Shapley-Scarf Housing Markets: Respecting Improvement, Integer Programming, and Kidney Exchange. - Cristian Lazo:
Segmentation of skin lesions and their attributes using Generative Adversarial Networks. - Tz-Wei Mo, Ronald Y. Chang, Te-Yi Kan:
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection. - Jie Wang, Jingbei Li, Xintao Zhao, Zhiyong Wu, Helen Meng:
Adversarially learning disentangled speech representations for robust multi-factor voice conversion. - Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai:
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning. - Franz M. Rohrhofer, Santanu Saha, Simone Di Cataldo, Bernhard C. Geiger, Wolfgang von der Linden, Lilia Boeri:
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures. - Zhengfang Duanmu, Wentao Liu, Zhongling Wang, Zhou Wang:
Quantifying Visual Image Quality: A Bayesian View. - Karn Watcharasupat, Anh H. T. Nguyen, Ching-Hui Ooi, Andy W. H. Khong:
Directional Sparse Filtering using Weighted Lehmer Mean for Blind Separation of Unbalanced Speech Mixtures. - Matheus Eduardo Leusin, Bjoern Jindra, Daniel S. Hain:
An evolutionary view on the emergence of Artificial Intelligence. - Francesco Orabona, Dávid Pál:
Parameter-free Stochastic Optimization of Variationally Coherent Functions. - Banghee So, Jean-Philippe Boucher, Emiliano A. Valdez:
Synthetic Dataset Generation of Driver Telematics. - Rajvir Kaur, Kenji Bekki, Ghulam Mubashar Hassan, Amitava Datta:
Estimating galaxy masses from kinematics of globular cluster systems: a new method based on deep learning. - Jordan Ott, David Bruyette, Cody L. Arbuckle, Dylan Balsz, Silke Hecht, Lisa Shubitz, Pierre Baldi:
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks. - Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Advancing the AmbientGAN for learning stochastic object models. - Sudhir R. Ghorpade, Rati Ludhani:
On the Purity of Resolutions of Stanley-Reisner Rings Associated to Reed-Muller Codes. - Elham Jamalinia, Peyman Azodi, Alireza Khayatian, Peyman Setoodeh:
Lyapunov-Based Stabilization and Control of Closed Quantum Systems. - Jie Yang, Ziyi Liu, Mengchen Lin, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
Deep Reformulated Laplacian Tone Mapping. - S. Blinov, B. Wu, C. Monroe:
Comparison of Cloud-Based Ion Trap and Superconducting Quantum Computer Architectures. - Chanwoo Lee, Miaoyan Wang:
Beyond the Signs: Nonparametric Tensor Completion via Sign Series. - Merlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt:
SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation. - Fatih Uysal, Firat Hardalaç, Ozan Peker, Tolga Tolunay, Nil Tokgöz:
Classification of Fracture and Normal Shoulder Bone X-Ray Images Using Ensemble and Transfer Learning With Deep Learning Models Based on Convolutional Neural Networks. - Mir Lodro, Gabriele Gradoni, Christopher Smartt, Ana Vukovic, David W. P. Thomas, Steve Greedy:
Near-field Image Transmission and EVM Measurements in Rich Scattering Environment. - Arash Ahadi, Mohsen Mollahajiaghaei, Ali Dehghan:
On the maximum number of non attacking rooks on a high-dimensional simplicial chessboard. - Abhishek Gupta, Shreshta Rajakumar Deshpande, Marcello Canova:
An Algorithm to Warm Start Perturbed (WASP) Constrained Dynamic Programs. - Tommy Peng, Avinash Malik, Laura Bear, Mark L. Trew:
Basis Function Based Data Driven Learning for the Inverse Problem of Electrocardiography. - Yifan Jiang, Han Chen, David K. Han, Hanseok Ko:
Few-shot Learning for CT Scan based COVID-19 Diagnosis. - Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang:
Deep High-Resolution Network for Low Dose X-ray CT Denoising. - Xiaoyong Bo, Xiaoyu Chen, Huashun Li, Yunchang Dong, Zhaoyang Qu, Lei Wang, Yang Li:
Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events. - Aaditya Ramdas, Johannes Ruf, Martin Larsson, Wouter M. Koolen:
How can one test if a binary sequence is exchangeable? Fork-convex hulls, supermartingales, and Snell envelopes. - Kaushik Dutta:
Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images. - Emanuele Dalsasso, Inès Meraoumia, Loïc Denis, Florence Tupin:
Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning. - Nicolas Gasnier, Emanuele Dalsasso, Loïc Denis, Florence Tupin:
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation. - Anne Gael Manegueu, Alexandra Carpentier, Yi Yu:
Generalized non-stationary bandits. - Krzysztof Podgórski:
Splinets - splines through the Taylor expansion, their support sets and orthogonal bases. - Qisheng Wang, Xiao Li, Shi Jin, Yijiain Chen:
Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning. - Emil Björnson, Henk Wymeersch, Bho Matthiesen, Petar Popovski, Luca Sanguinetti, Elisabeth de Carvalho:
Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications. - Vivien Cabannes, Alessandro Rudi, Francis R. Bach:
Fast rates in structured prediction. - Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Pérez-Cruz, Davide Reggiani, Andreas Adelmann:
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators. - Mukuntha Narayanan Sundararaman, Ayush Kumar, Jithendra Vepa:
Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR Transcript. - Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn, Lars Maaløe, Christian Igel:
On Scaling Contrastive Representations for Low-Resource Speech Recognition. - Vladimir Yankovskiy:
Groups with context-free equation solvability problem. - Chaojie Wang, Srinivas Peeta, Jian Wang:
Incentive-based Decentralized Routing for Connected and Autonomous Vehicles using Information Propagation. - Zichao Yan, William L. Hamilton, Mathieu Blanchette:
Neural representation and generation for RNA secondary structures. - Kwangjun Ahn, Felipe Suarez:
Riemannian Perspective on Matrix Factorization. - Bálint Daróczy, Katalin Friedl, László Kabódi, Attila Pereszlényi, Dániel Szabó:
Quantum Inspired Adaptive Boosting. - Jonathan Berrisch, Florian Ziel:
CRPS Learning. - Raphael Keusch, Hampus Malmberg, Hans-Andrea Loeliger:
Binary Control and Digital-to-Analog Conversion Using Composite NUV Priors and Iterative Gaussian Message Passing. - Anjali Balagopal, Dan Nguyen, Maryam Mashayekhi, Howard E. Morgan, Aurelie Garant, Neil Desai, Raquibul Hannan, Mu-Han Lin, Steve B. Jiang:
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study. - Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer:
Machine learning accelerated computational fluid dynamics. - François Drielsma, Kazuhiro Terao, Laura Dominé, Dae Heun Koh:
Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors. - Pierre Aboulker, Frédéric Havet, Kolja Knauer, Clément Rambaud:
On the dichromatic number of surfaces. - Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride, VITAL Consortium, Reza Razavi, Nguyen Van Hao, Louise Thwaites, Sophie Yacoub, Alberto Gómez:
Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients. - Nihal Rao, Ke Liu, Marc Machaczek, Lode Pollet:
Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets. - Yunlong Jiao, Adam Gabrys, Georgi Tinchev, Bartosz Putrycz, Daniel Korzekwa, Viacheslav Klimkov:
Universal Neural Vocoding with Parallel WaveNet. - Tirthak Patel, Devesh Tiwari:
DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse. - Aniket Pramanik, Mathews Jacob:
Reconstruction and Segmentation of Parallel MR Data using Image Domain DEEP-SLR. - G. Jogesh Babu, David Banks, Hyunsoon Cho, David Han, Hailin Sang, Shouyi Wang:
A Statistician Teaches Deep Learning. - Robert E. McCulloch, Rodney A. Sparapani, Brent R. Logan, Purushottam W. Laud:
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning. - Enrico S. Canuto, Daniele Mazza:
Introduction to population dynamics and resource exploitation. - Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi, Giovanna Nicora, Eleonora Vercesi:
The Gene Mover's Distance: Single-cell similarity via Optimal Transport. - Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik:
Doubly Robust Thompson Sampling for linear payoffs. - Federico Ciech, Veronica Tozzo:
Time Adaptive Gaussian Model. - Rabab Haider, David D'Achiardi, Venkatesh Venkataramanan, Anurag Srivastava, Anjan Bose, Anuradha M. Annaswamy:
Reinventing the Utility for DERs: A Proposal for a DSO-Centric Retail Electricity Market. - Jie Yang, Mengchen Lin, Ziyi Liu, Ulian Shahnovich, Orly Yadid-Pecht:
Mobile-end Tone Mapping based on Integral Image and Integral Histogram. - Pratyush Muthukumar, Jie Zhong:
A Stochastic Time Series Model for Predicting Financial Trends using NLP. - Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of the Decentralized Stochastic Gradient Descent. - Ashek Ahmmed, Manoranjan Paul, M. Manzur Murshed, David Taubman:
Human-Machine Collaborative Video Coding Through Cuboidal Partitioning. - Alexander G. Tartakovsky, Nikita R. Berenkov, Alexei E. Kolessa, Igor V. Nikiforov:
Optimal Sequential Detection of Signals with Unknown Appearance and Disappearance Points in Time. - Harikrishnan N. B., Nithin Nagaraj:
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning. - Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah:
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection. - Hiroshi Sato, Tsubasa Ochiai, Keisuke Kinoshita, Marc Delcroix, Tomohiro Nakatani, Shoko Araki:
Multimodal Attention Fusion for Target Speaker Extraction. - Shota Horiguchi, Nelson Yalta, Paola García, Yuki Takashima, Yawen Xue, Desh Raj, Zili Huang, Yusuke Fujita, Shinji Watanabe, Sanjeev Khudanpur:
The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap. - Xing Ji, Fengxiang Zhao, Wei Shyy, Kun Xu:
Two-step multi-resolution reconstruction-based compact gas-kinetic scheme on tetrahedral mesh. - Yuanran Zhu, Huan Lei:
Effective Mori-Zwanzig equation for the reduced-order modeling of stochastic systems. - Zhong Meng, Naoyuki Kanda, Yashesh Gaur, Sarangarajan Parthasarathy, Eric Sun, Liang Lu, Xie Chen, Jinyu Li, Yifan Gong:
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition. - Ethan Cohen, Virginie Uhlmann:
aura-net : robust segmentation of phase-contrast microscopy images with few annotations. - Aoxue Chen, Guang Lin:
Robust data-driven discovery of partial differential equations with time-dependent coefficients. - Yakun Niu, Benedetta Tondi, Yao Zhao, Rongrong Ni, Mauro Barni:
Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering. - Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek:
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism. - Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt:
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition. - Klas Modin, Milo Viviani:
Canonical scale separation in two-dimensional incompressible hydrodynamics. - Panjin Kim, Daewan Han:
Measurement-based Uncomputation Applied to Controlled Modular Multiplication. - Anthony Devaux, Robin Genuer, Karine Pérès, Cécile Proust-Lima:
Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach. - Patrick Reiser, Manuel Konrad, Artem Fediai, Salvador León, Wolfgang Wenzel, Pascal Friederich:
Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning. - Maxime Breden:
Computer-assisted proofs for some nonlinear diffusion problems. - Takeshi Ishida:
Mimicry mechanism model of octopus epidermis pattern by inverse operation of Turing reaction model. - Arthur J. Parzygnat:
Conditional distributions for quantum systems. 1-13 - Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka:
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review. - Rebecca D. Pollard, Sara M. Pollard, Scott Streit:
Predicting Propensity to Vote with Machine Learning. - Sudipan Saha, Nasrullah Sheikh:
Ultrasound Image Classification using ACGAN with Small Training Dataset. - Yang Wen:
Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis. - Alexis Bellot, Mihaela van der Schaar:
Policy Analysis using Synthetic Controls in Continuous-Time. - Benjamin Golub, Evan Sadler:
Games on Endogenous Networks. - Caleb Robelle, J. Maurice Rojas, Yuyu Zhu:
Sub-Linear Point Counting for Variable Separated Curves over Prime Power Rings. - Tobias Haug, Kishor Bharti, M. S. Kim:
Capacity and quantum geometry of parametrized quantum circuits. - Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin:
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation. - Adrià Garriga-Alonso, Vincent Fortuin:
Exact Langevin Dynamics with Stochastic Gradients. - Corentin Martens, Laetitia Lebrun, Christine Decaestecker, Thomas Vandamme, Yves-Rémi Van Eycke, Antonin Rovai, Thierry Metens, Olivier Debeir, Serge Goldman, Isabelle Salmon, Gaetan Van Simaeys:
Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study. - Ramith Hettiarachchi, Udith Haputhanthri, Kithmini Herath, Hasindu Kariyawasam, Shehan Munasinghe, Kithmin Wickramasinghe, Duminda Samarasinghe, Anjula De Silva, Chamira U. S. Edussooriya:
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds. - Adam Block, Yuval Dagan, Sasha Rakhlin:
Majorizing Measures, Sequential Complexities, and Online Learning. - Adam Bouland, Bill Fefferman, Zeph Landau, Yunchao Liu:
Noise and the frontier of quantum supremacy. - Sensong An, Bowen Zheng, Mikhail Y. Shalaginov, Hong Tang, Hang Li, Li Zhou, Yunxi Dong, Mohammad Haerinia, Anuradha Murthy Agarwal, Clara Rivero-Baleine, Myungkoo Kang, Kathleen A. Richardson, Tian Gu, Juejun Hu, Clayton Fowler, Hualiang Zhang:
Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces. - Sayantan Chakraborty, Aditya Nema, Pranab Sen:
Novel one-shot inner bounds for unassisted fully quantum channels via rate splitting. - Cole L. Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig:
Building population models for large-scale neural recordings: opportunities and pitfalls. - Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy, Md. Ashraful Alam, Eklas Hossain, Mohiuddin Ahmad:
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI. - Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md. Ashraful Alam, Md. Toufick E. Elahi, Aishwariya Dutta, S. M. Taslim Uddin Raju, Md. Tasnim Jawad, Mohiuddin Ahmad:
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders. - Chen Zhao, Xiao-Shan Gao:
Analyzing the barren plateau phenomenon in training quantum neural network with the ZX-calculus. - Changkun Wei, Jiaqing Yang, Bo Zhang:
Time domain analysis for electromagnetic scattering by an elastic obstacle in a two-layered medium. - Changkun Wei, Jiaqing Yang, Bo Zhang:
Convergence of the uniaxial PML method for time-domain electromagnetic scattering problems. - Ru Li, Chuan Wang, Shuaicheng Liu, Jue Wang, Guanghui Liu, Bing Zeng:
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data. - Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss. - Haoran Fu, Takashi Akamatsu, Koki Satsukawa, Kentaro Wada:
Dynamic traffic assignment in a corridor network: Optimum versus Equilibrium. - Akhil Anil Rajput, Qingchun Li, Xinyu Gao, Ali Mostafavi:
Revealing Critical Characteristics of Mobility Patterns in New York City during the Onset of COVID-19 Pandemic. - Wolfgang Fuhl:
1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning. - Helin Wang, Yuexian Zou, Wenwu Wang:
A Global-local Attention Framework for Weakly Labelled Audio Tagging. - Nguyen Trinh Vu Dang, Loc Tran, Linh Tran:
Noise-robust classification with hypergraph neural network. - Will Gürpinar-Morgan, Daniel Dinsdale, Joe Gallagher, Aditya Cherukumudi, Patrick Lucey:
You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network. - Alperen Karan, Atabey Kaygun:
Time Series Classification via Topological Data Analysis. - Blanka Horvath, Josef Teichmann, Zan Zuric:
Deep Hedging under Rough Volatility. - Kao-Yueh Kuo, I-Chun Chern, Ching-Yi Lai:
Decoding of Quantum Data-Syndrome Codes via Belief Propagation. - Dan Garber, Noam Wolf:
Frank-Wolfe with a Nearest Extreme Point Oracle. - Yuhang Ding, Xin Yu, Yi Yang:
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation. - Koen Bertels, Aritra Sarkar, Anna M. Krol, Ravish Budhrani, J. Samadi, E. Geoffroy, J. Matos, R. Abreu, Georges G. E. Gielen, Imran Ashraf:
Quantum Accelerator Stack: A Research Roadmap. - Serkan Saritas, Photios A. Stavrou, Ragnar Thobaben, Mikael Skoglund:
Quadratic Signaling Games with Channel Combining Ratio. - Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci:
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types. - Lovis Anderson, Mark Turner, Thorsten Koch:
Generative deep learning for decision making in gas networks. - Daniel C. McDonald:
Optimally reconnecting weighted graphs against an edge-destroying adversary. - Timothy Dykes, Claudio Gheller, Bärbel S. Koribalski, Klaus Dolag, Mel Krokos:
A New View of Observed Galaxies through 3D Modelling and Visualisation. - Oussama Landoulsi, Svetlana Roudenko, Kai Yang:
Interaction with an obstacle in the 2d focusing nonlinear Schrödinger equation. - Sayantan Chakraborty, Aditya Nema, Pranab Sen:
One-shot multi-sender decoupling and simultaneous decoding for the quantum MAC. - Mina Abbaszadeh, Seyed Shahin Mousavi, Vahid Salari:
Parametrized Quantum Circuits of Synonymous Sentences in Quantum Natural Language Processing. - Edoardo Bocchi, Jiao He, Gaston Vergara-Hermosilla:
Modelling and simulation of a wave energy converter. - Pavle Boskoski, Matija Perne, Martina Ramesa, Biljana Mileva-Boshkoska:
Variational Bayes survival analysis for unemployment modelling. - Felipe Xavier Costa, Pedro Pessoa:
Entropic Dynamics of Networks. - Neil F. Johnson, Nicolas Velasquez, Nicholas Johnson Restrepo, Rhys Leahy, Richard F. Sear, Nicholas Gabriel, H. Larson, Yonatan Lupu:
Mainstreaming of conspiracy theories and misinformation. - Xiangyun Lei, Andrew J. Medford:
A Universal Framework for Featurization of Atomistic Systems. - Nandini Negi, Aranya Chakrabortty:
Optimal Co-Designs of Communication and Control in Bandwidth-Constrained Cyber-Physical Systems. - Anindya Bhaduri, Ashwini Gupta, Audrey Olivier, Lori Graham-Brady:
An efficient optimization based microstructure reconstruction approach with multiple loss functions. - Runjing Liu, Jon D. McAuliffe, Jeffrey Regier:
Variational Inference for Deblending Crowded Starfields. - Yivan Zhang, Gang Niu, Masashi Sugiyama:
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization. - Akbar Jahanbani, L. Shahbazi, Seyed Mahmoud Sheikholeslami, R. Rasi, Jonnathan Rodríguez:
New upper bounds for the forgotten index among bicyclic graphs. - Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao:
An end-to-end trainable hybrid classical-quantum classifier. - Juhung Park, Woojin Jung, Eun-Jung Choi, Se-Hong Oh, Dongmyung Shin, Hongjun An, Jongho Lee:
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues. - Christina Petschnigg, Markus Spitzner, Lucas Weitzendorf, Jürgen Pilz:
From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling. - Yingkai Ouyang:
Permutation-invariant quantum coding for quantum deletion channels. - Dimitri Meunier, Pierre Alquier:
Meta-strategy for Learning Tuning Parameters with Guarantees. - Meng Zhang, Jiazheng Li, Yang Li, Runnan Xu:
Deep Learning for Short-Term Voltage Stability Assessment of Power Systems. - Xinmeng Xu, Yang Wang, Dongxiang Xu, Yiyuan Peng, Cong Zhang, Jie Jia, Binbin Chen:
VSEGAN: Visual Speech Enhancement Generative Adversarial Network. - Vishnupriya Anupindi, László Mérai:
Linear complexity of some sequences derived from hyperelliptic curves of genus 2. - Luise Blank, Johannes Meisinger:
Parabolic optimal control with strongly monotone quasilinearity and its time discretization. - Marceau Coupechoux, Jérôme Darbon, Jean-Marc Kélif, Marc Sigelle:
Optimal Trajectories of a UAV Base Station Using Hamilton-Jacobi Equations. - Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström:
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types. - Kleber Padovani de Souza, Roberto Xavier, André C. P. L. F. de Carvalho, Anna Reali, Annie Chateau, Ronnie Alves:
Towards a reinforcement learning de novo genome assembler. - Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov:
No-reference denoising of low-dose CT projections. - Yi-Chun Chen, Manuel Mueller-Frank, Mallesh M. Pai:
The Wisdom of the Crowd and Higher-Order Beliefs. - Xiaoyu Zhang, Kai Sun, Yike Guo:
OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning. - Luca Ganassali, Laurent Massoulié, Marc Lelarge:
Impossibility of Partial Recovery in the Graph Alignment Problem. - Umaseh Sivanesan, Luis H. Braga, Ranil R. Sonnadara, Kiret Dhindsa:
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors. - Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki:
HMC, an Algorithms in Data Mining, the Functional Analysis approach. - Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai:
Invertible DenseNets with Concatenated LipSwish. - Angelos Aveklouris, Levi DeValve, Amy R. Ward, Xiaofan Wu:
Matching Impatient and Heterogeneous Demand and Supply. - Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck:
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. - Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco:
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review. - Manuel Eggimann, Abbas Rahimi, Luca Benini:
A 5 μW Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing. - Md Shahzamal, Saeed Khan:
A survey on modelling of infectious disease spread and control on social contact networks. - Matthew Feickert, Benjamin Nachman:
A Living Review of Machine Learning for Particle Physics. - Abrar Faiyaz, Marvin M. Doyley, Giovanni Schifitto, Jianhui Zhong, Md Nasir Uddin:
DLpN: Single-Shell NODDI Using Deep Learner Estimated Isotropic Volume Fraction. - Björn Holzhauer, Lisa V. Hampson, John Paul Gosling, Björn Bornkamp, Joseph Kahn, Markus R. Lange, Wen-Lin Luo, Caterina Brindicci, David Lawrence, Steffen Ballerstedt, Anthony O'Hagan:
Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study. - Daniele Casati:
Machine Learning for Auxiliary Sources. - Amin Bahmanian:
Extending Edge-colorings of Complete Hypergraphs into Regular Colorings. - Amin Bahmanian:
Factorizations of Complete Multipartite Hypergraphs. - Harald Oberhauser, Alexander Schell:
Nonlinear Independent Component Analysis for Continuous-Time Signals. - Soulaimane Berkane, Andrea Bisoffi, Dimos V. Dimarogonas:
Obstacle Avoidance via Hybrid Feedback. - Jiasong Chen, Linchen Qian, Timur Urakov, Weiyong Gu, Liang Liang:
Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images. - Chunyan Ji, Ming Chen, Bin Li, Yi Pan:
Infant Cry Classification with Graph Convolutional Networks. - Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier:
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering. - Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai:
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. - Jun Doi, Hiroshi Horii:
Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers. - Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon:
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. - Gennaro Auricchio, Andrea Codegoni, Stefano Gualandi, Lorenzo Zambon:
The Fourier Loss Function. - Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar:
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers. - Antonio Blanca, Alistair Sinclair, Xusheng Zhang:
The Critical Mean-field Chayes-Machta Dynamics. - Chen Amiraz, Robert Krauthgamer, Boaz Nadler:
Sparse Normal Means Estimation with Sublinear Communication. - Jean-François Coulombel, Grégory Faye:
Sharp stability for finite difference approximations of hyperbolic equations with boundary conditions. - Alexandru Nelus, Rene Glitza, Rainer Martin:
Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning. - Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan:
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. - Édouard Bonnet, Ugo Giocanti, Patrice Ossona de Mendez, Pierre Simon, Stéphan Thomassé, Szymon Torunczyk:
Twin-width IV: ordered graphs and matrices. - Gregor Cerar, Ales Svigelj, Mihael Mohorcic, Carolina Fortuna, Tomaz Javornik:
Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network. - Maria-Gabriella Di Benedetto, Stefanie Shattuck-Hufnagel, Luca De Nardis, Sara Budoni, Javier Arango, Ian Chan, Alec DeCaprio:
Lexical and syntactic gemination in Italian consonants - Does a geminate Italian consonant consist of a repeated or a strengthened consonant? - Yingzhi Xia, Nicholas Zabaras:
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems. - Robert Altmann, Christoph Zimmer:
Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type. - Rida Ait El Manssour, Anna-Laura Sattelberger:
Combinatorial Differential Algebra of xp. - Sarod Yatawatta, Ian M. Avruch:
Deep reinforcement learning for smart calibration of radio telescopes. - Jaesong Lee, Shinji Watanabe:
Intermediate Loss Regularization for CTC-based Speech Recognition. - Jayanta Kumar Das, Swarup Roy, Pietro Hiram Guzzi:
Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis. - Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang:
Effects of quantum resources on the statistical complexity of quantum circuits. - Jakob L. Andersen, Rolf Fagerberg, Christoph Flamm, Walter Fontana, Juraj Kolcák, Christophe V. F. P. Laurent, Daniel Merkle, Nikolai Nøjgaard:
Graph Transformation for Enzymatic Mechanisms. - Alexei Yu. Uteshev, Elizaveta A. Semenova:
Length of a Full Steiner Tree as a Function of Terminal Coordinates. - Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro:
Measuring Utility and Privacy of Synthetic Genomic Data. - Wonjae Kim, Bokyung Son, Ildoo Kim:
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision. - Luca Varotto, Angelo Cenedese:
Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised Gaussian Process Regression. - Florenc Demrozi, Fabio Chiarani, Cristian Turetta, Philipp H. Kindt, Graziano Pravadelli:
Estimating indoor occupancy through low-cost BLE devices. - Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals. - Wang Lu, Yiqiang Chen, Jindong Wang, Xin Qin:
Cross-domain Activity Recognition via Substructural Optimal Transport. - Francis Ogoke, Amir Barati Farimani:
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning. - Tharmakulasingam Sirojan:
Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring. - Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. - Francesco Caravelli, Forrest C. Sheldon, Fabio L. Traversa:
Global minimization via classical tunneling assisted by collective force field formation. - Debolina Paul, Saptarshi Chakraborty, Swagatam Das:
Robust Principal Component Analysis: A Median of Means Approach. - Marcus Michael Noack, James A. Sethian:
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes. - Christopher Ick, Brian McFee:
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN. - Ziyue Wang, Zhilin Chen, Ya-Feng Liu, Foad Sohrabi, Wei Yu:
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO. - Zhenhan Huang, Fumihide Tanaka:
A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management. - Zhaolan Zheng, Yu Qi:
Study on the simulation control of neural network algorithm in thermally coupled distillation. - Hao Lei, Ying Chen:
Exclusive Topic Modeling. - Shanaka Ramesh Gunasekara, HNTK Kaldera, Maheshi B. Dissanayake:
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring. - Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah:
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection. - (Withdrawn) Continuous Monitoring of Blood Pressure with Evidential Regression.
- Oleksandr Zadorozhnyi, Pierre Gaillard, Sébastien Gerchinovitz, Alessandro Rudi:
Online nonparametric regression with Sobolev kernels. - Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang:
Bootstrapping Statistical Inference for Off-Policy Evaluation. - Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker attribution with voice profiles by graph-based semi-supervised learning. - Weiqing Wang, Qingjian Lin, Danwei Cai, Lin Yang, Ming Li:
The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge. - Mahir Bilen Can, Takayuki Hibi:
Toric Codes from Order Polytopes. - Wouter Jongeneel, Tobias Sutter, Daniel Kuhn:
Efficient Learning of a Linear Dynamical System with Stability Guarantees. - Mohammed Alser, Jeremie S. Kim, Nour Almadhoun Alserr, Stefan W. Tell, Onur Mutlu:
COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model. - Zhengzhong Tu:
Predicting Eye Fixations Under Distortion Using Bayesian Observers. - Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu:
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. - Priyanka Mary Mammen, Camellia Zakaria, Tergel Molom-Ochir, Amee Trivedi, Prashant J. Shenoy, Rajesh Balan:
WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing. - Kolawole Ogunsina, Ilias Bilionis, Daniel DeLaurentis:
Exploratory Data Analysis for Airline Disruption Management. - Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Infinite-channel deep stable convolutional neural networks. - Wenxuan Zou, Chan Li, Haiping Huang:
Ensemble perspective for understanding temporal credit assignment. - Emanuele Dolera, Stefano Favaro, Stefano Peluchetti:
A Bayesian nonparametric approach to count-min sketch under power-law data streams. - Jiayu Shang, Jingzhe Jiang, Yanni Sun:
Bacteriophage classification for assembled contigs using Graph Convolutional Network. - Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism. - Rüdiger Brecht, Long Li, Werner Bauer, Étienne Mémin:
Rotating shallow water flow under location uncertainty with a structure-preserving discretization. - Yu-Wen Chen, Kuo-Hsuan Hung, Shang-Yi Chuang, Jonathan Sherman, Wen-Chin Huang, Xugang Lu, Yu Tsao:
EMA2S: An End-to-End Multimodal Articulatory-to-Speech System. - Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn:
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. - Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. - Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar:
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression. - Tatiana Konstantinova, Lutz Wiegart, Maksim S. Rakitin, Anthony M. DeGennaro, Andi M. Barbour:
Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models. - Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister:
Mimetic Neural Networks: A unified framework for Protein Design and Folding. - Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao:
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. - Dominik Janzing:
Causal version of Principle of Insufficient Reason and MaxEnt. - Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen:
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning. - Nicholas Oune, Ramin Bostanabad:
Latent Map Gaussian Processes for Mixed Variable Metamodeling. - Serge Vicente, Alejandro Murua:
Determinantal consensus clustering. - Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian John King, Siegfried Kunzmann:
End-to-End Multi-Channel Transformer for Speech Recognition. - Diego Díaz-Domínguez, Gonzalo Navarro:
Efficient construction of the extended BWT from grammar-compressed DNA sequencing reads. - Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. - Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi:
Active learning for distributionally robust level-set estimation. - Premjeet Singh, Goutam Saha, Md. Sahidullah:
Non-linear frequency warping using constant-Q transformation for speech emotion recognition. - Jialin Hong, Diancong Jin, Derui Sheng:
Numerical approximations of one-point large deviations rate functions of stochastic differential equations with small noise. - A. Sardi, E. Sorano:
Dynamic Performance Management: An Approach for Managing the Common Goods. - Alberto Sardi, Alessandro Rizzi, Enrico Sorano, Anna Guerrieri:
Cyber Risk in Health Facilities: A Systematic Literature Review. - Hiroaki Yamada, Makoto Yamada:
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares. - George C. Hsiao, Tonatiuh Sánchez-Vizuet:
Time-Dependent Wave-Structure Interaction Revisited: Thermo-piezoelectric Scatterers. - Delaram Kahrobaei, Antonio Tortora, Maria Tota:
A Closer Look at the Multilinear Cryptography using Nilpotent Groups. - Louis Esperet, Benjamin Lévêque:
Local certification of graphs on surfaces. - Mostafa Sadeghi, Xavier Alameda-Pineda:
Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement. - Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel:
EigenGame Unloaded: When playing games is better than optimizing. - Jiawei Shao, Yuyi Mao, Jun Zhang:
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. - Shoffan Saifullah:
Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur. - Muhammad Firmansyah Kasim, Sam M. Vinko:
Learning the exchange-correlation functional from nature with fully differentiable density functional theory. - Ryutaroh Matsumoto, Manabu Hagiwara:
Constructios of l-adic t-deletion-correcting quantum codes. - Mathieu Even, Laurent Massoulié:
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization. - Samuel Cohen, Tanut Treetanthiploet:
Correlated Bandits for Dynamic Pricing via the ARC algorithm. - Zhiyan Ding, Qin Li:
Constrained Ensemble Langevin Monte Carlo. - Yingfang Yuan, Wenjun Wang, Wei Pang:
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction. - Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul:
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. - Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger:
Long-time simulations with high fidelity on quantum hardware. - Pallav Chanda, Rajib Saha:
An Unbiased Estimator of the Full-sky CMB Angular Power Spectrum using Neural Networks. - Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou:
Towards advancing the earthquake forecasting by machine learning of satellite data. - Xiuyi Yang:
The Landscape of Multi-Layer Linear Neural Network From the Perspective of Algebraic Geometry. - Jesse Russell:
The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment. - Bart P. G. Van Parys:
Optimal Transport in the Face of Noisy Data. - Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener:
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks. - Cole Comfort:
Distributive Laws, Spans and the ZX-Calculus. - Yang Zheng, Yujie Tang, Na Li:
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. - Courtney Paquette, Kiwon Lee, Fabian Pedregosa, Elliot Paquette:
SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality. - A. Sathish Kumar, Prashant Kumar, P. Devaraj:
Approximation of discontinuous functions by Kantorovich exponential sampling series. - Hardit Singh, Simarjeet Saini, Vasudevan Lakshminarayanan:
Rapid Classification of Glaucomatous Fundus Images. - Wuchen Li:
Transport information Hessian distances. - Ali Lafzi, Miad Boodaghi, Siavash Zamani, Niyousha Mohammadshafie:
Analysis of the Effectiveness of Face-Coverings on the Death Rate of COVID-19 Using Machine Learning. - Umang Gupta, Pradeep Lam, Greg Ver Steeg, Paul Thompson:
Improved Brain Age Estimation with Slice-based Set Networks. - Hao Lei, Ying Chen:
Concentrated Document Topic Model. - Michael Gnewuch, Nils Hebbinghaus:
Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples. - Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Hossein Maleki, Tyler Brown, Ali Adibi:
Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity. - Emanuele Dolera, Stefano Favaro, Stefano Peluchetti:
Learning-augmented count-min sketches via Bayesian nonparametrics. - James W. Nightingale, Richard G. Hayes, Matthew Griffiths:
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting. - Stéphane Bessy, Jocelyn Thiebaut:
Complementary cycles of any length in regular bipartite tournaments. - Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. - Mario Hernán Castañeda García, Alejandro Molina-Galan, Mate Boban, Javier Gozálvez, Baldomero Coll-Perales, Taylan Sahin, Apostolos Kousaridas:
A Tutorial on 5G NR V2X Communications. - Bonny Banerjee, Masoumeh Heidari Kapourchali, Murchana Baruah, Mousumi Deb, Kenneth Sakauye, Mette S. Olufsen:
Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions. - Jakob Sauer Jørgensen, Evelina Ametova, Genoveva Burca, Gemma Fardell, Evangelos Papoutsellis, Edoardo Pasca, Kris Thielemans, Martin J. Turner, Ryan Warr, William R. B. Lionheart, Philip J. Withers:
Core Imaging Library - Part I: a versatile Python framework for tomographic imaging. - Aaron Melman:
An octagon containing the numerical range of a bounded linear operator. - Amal Alghamdi, Marc Andre Hesse, Jingyi Chen, Umberto Villa, Omar Ghattas:
Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the Uncertainty. - Ulysse Chabaud, Damian Markham, Adel Sohbi:
Quantum machine learning with adaptive linear optics. - Madhav Pathak, Ratnesh Kumar:
Synchronous Inductor Switched Energy Extraction Circuits for Triboelectric Nanogenerator. - Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang:
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection. - Weibo Fu, Guanyang Wang, Jun Yan:
On the Minimax Spherical Designs. - Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe:
Graph Energy-based Model for Substructure Preserving Molecular Design. - Lu Lu, Raphaël Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson:
Physics-informed neural networks with hard constraints for inverse design. - Qinglong Li, Fei Gao, Haixin Guan, Kaichi Ma:
Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform. - Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang:
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry. - Benjamin Faktor, Michael J. Holst:
A Note On Determining Projections for Non-Homogeneous Incompressible Fluids. - Alex Cohen, Guy Moshkovitz:
Structure vs. Randomness for Bilinear Maps. - Tianyi Chen, Yuejiao Sun, Wotao Yin:
A Single-Timescale Stochastic Bilevel Optimization Method. - Tomoharu Iwata, Yoshinobu Kawahara:
Meta-Learning for Koopman Spectral Analysis with Short Time-series. - Rintaro Ikeshita, Tomohiro Nakatani:
Independent Vector Extraction for Joint Blind Source Separation and Dereverberation. - Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell, Steve Renals:
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers. - Xiaofan Liu, Zuoquan Zhang, Di Wang:
Classification of Imbalanced Credit scoring data sets Based on Ensemble Method with the Weighted-Hybrid-Sampling. - Sebastian Peitz, Katharina Bieker:
On the Universal Transformation of Data-Driven Models to Control Systems. - Christopher Carignan, Ander Egurtzegi:
Principal components variable importance reconstruction (PC-VIR): Exploring predictive importance in multicollinear acoustic speech data. - Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven:
Automatic variational inference with cascading flows. - Riccardo Mengoni, Massimiliano Incudini, Alessandra Di Pierro:
Facial Expression Recognition on a Quantum Computer. - Mantas Gabrielaitis:
Amplitude Demodulation of Wideband Signals. - Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R. Wilson, Muhammad Mamdani, Errol Colak:
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT. - Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney:
Noisy Recurrent Neural Networks. - Titus Neupert, Mark H. Fischer, Eliska Greplova, Kenny Choo, Michael Denner:
Introduction to Machine Learning for the Sciences. - Dalton A. R. Sakthivadivel:
Formalising the Use of the Activation Function in Neural Inference. - Stefan Steinerberger:
Max-Cut via Kuramoto-type Oscillators. - Rajiv Sethi, Julie Seager, Emily Cai, Daniel M. Benjamin, Fred Morstatter:
Models, Markets, and the Forecasting of Elections. - Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus Tönnies, Christian Hansen, Marko Rak:
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence. - Mohamed Serry, Gunther Reissig:
Over-approximating reachable tubes of linear time-varying systems. - Marc Górriz, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak:
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. - Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett:
When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations? - Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Zhou Zhou, Nicholas J. Cecchi, Stephen Tiernan, Jesse Ruan, Saeed Barbat, Olivier Gevaert, Michael Zeineh, Gerald A. Grant, David B. Camarillo:
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. - Vinicius Mikuni, Florencia Canelli:
Point Cloud Transformers applied to Collider Physics. - Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc:
Emotion Transfer Using Vector-Valued Infinite Task Learning. - Vikram Singh, Steven H. Frankel, Jan Nordström:
Impact of wall modeling on kinetic energy stability for the compressible Navier-Stokes equations. - Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell-Clay:
Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models. - Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein:
CDPAM: Contrastive learning for perceptual audio similarity. - Miaomiao Wang, Soulaimane Berkane, Abdelhamid Tayebi:
Nonlinear Observers Design for Vision-Aided Inertial Navigation Systems. - Omstavan Samant, Jaya Kumar Alageshan, Sarveshwar Sharma, Animesh Kuley:
Dynamic Mode Decomposition of inertial particle caustics in Taylor-Green flow. - Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta:
Local and Global Uniform Convexity Conditions. - Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya R. Gupta:
Regularization Strategies for Quantile Regression. - Jan Kaiser, William A. Borders, Kerem Yunus Çamsari, Shunsuke Fukami, Hideo Ohno, Supriyo Datta:
Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions. - Aravind Gollakota, Daniel Liang:
On the Hardness of PAC-learning stabilizer States with Noise. - Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back:
A Deep Learning Approach for Characterizing Major Galaxy Mergers. - Yanhao Jin, Tesi Xiao, Krishnakumar Balasubramanian:
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm. - Mohsen Heidari, Wojciech Szpankowski:
A Low Degree Learning Algorithm for Quantum Data via Quantum Fourier. - Xiangyu Zhao, Peng Zhang, Fan Song, Guangda Fan, Yangyang Sun, Yujia Wang, Zheyuan Tian, Luqi Zhang, Guanglei Zhang:
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism. - Hemanshu Kaul, Adam Rumpf:
A linear input dependence model for interdependent networks. - Man Long Wong, Jordan B. Angel, Michael F. Barad, Cetin C. Kiris:
A positivity-preserving high-order weighted compact nonlinear scheme for compressible gas-liquid flows. - Carl Remlinger, Joseph Mikael, Romuald Elie:
Conditional Versus Adversarial Euler-based Generators For Time Series. - Sen Na, Mihai Anitescu, Mladen Kolar:
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians. - Giovanni Abramo, Francesca Apponi, Ciriaco Andrea D'Angelo:
Do the propensity and drivers of academics' engagement in research collaboration with industry vary over time? - Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling:
Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models. - Sérgio Marcelino:
An unexpected Boolean connective. - Andrea Vandin, Daniele Giachini, Francesco Lamperti, Francesca Chiaromonte:
Automated and Distributed Statistical Analysis of Economic Agent-Based Models. - Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang:
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping. - Sérgio Marcelino, Umberto Rivieccio:
Finite axiomatizability of logics of distributive lattices with negation. - Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. - (Withdrawn) Certificate complexity and symmetry of nested canalizing functions.
- Madhu Mithra K. K, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images. - Sérgio Marcelino, Umberto Rivieccio:
Logics of involutive Stone algebras. - Huanyu Zhang, Ziping Zhao:
Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar via Manifold Optimization. - Marta Casanellas, Marina Garrote-López, Piotr Zwiernik:
Robust estimation of tree structured models. - Erich Grädel, Lovro Mrkonjic:
Elementary equivalence versus isomorphism in semiring semantics. - Gianmarco De Francisci Morales, Corrado Monti, Michele Starnini:
No Echo in the Chambers of Political Interactions on Reddit. - Matteo Bonini, Massimiliano Sala, Lara Vicino:
Rational points on cubic surfaces and AG codes from the Norm-Trace curve. - Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto:
Dysplasia grading of colorectal polyps through CNN analysis of WSI. - Raymond Zhang, Richard Combes:
On the Suboptimality of Thompson Sampling in High Dimensions. - Anindya Ghose, Xitong Guo, Beibei Li, Yuanyuan Dang:
Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment. - Simon Bing, Vincent Fortuin, Gunnar Rätsch:
On Disentanglement in Gaussian Process Variational Autoencoders. - Javier Quetzalcóatl Toledo-Marín, Geoffrey C. Fox, James P. Sluka, James A. Glazier:
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations. - Gal Yehuda, Amir Yehudayoff:
Slicing the hypercube is not easy. - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
On the Existence of Optimal Transport Gradient for Learning Generative Models. - Xiaoyuan Liu, Anthony Angone, Ruslan Shaydulin, Ilya Safro, Yuri Alexeev, Lukasz Cincio:
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. - Jochen Burghardt:
An Algebra of Properties of Binary Relations. - James Vuckovic, Aristide Baratin, Remi Tachet des Combes:
On the Regularity of Attention. - Yutong Wang, Clayton D. Scott:
An exact solver for the Weston-Watkins SVM subproblem. - Keming Zhang, Joshua S. Bloom, B. Scott Gaudi, François Lanusse, Casey Lam, Jessica Lu:
Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation. - Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak:
Sequential change-point detection for mutually exciting point processes over networks. - Fereshteh Fakhar Firouzeh, John W. Chinneck, Sreeraman Rajan:
Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices. - Jung-Hwan Song, Jorik van de Groep, Soo Jin Kim, Mark L. Brongersma:
Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking. - Xu Cai, Selwyn Gomes, Jonathan Scarlett:
Lenient Regret and Good-Action Identification in Gaussian Process Bandits. - Adrian E. Raftery, Hana Sevcikova, Bernard W. Silverman:
The vote Package: Single Transferable Vote and Other Electoral Systems in R. - Rishav Chourasia, Jiayuan Ye, Reza Shokri:
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent. - Andreas Nautsch, Xin Wang, Nicholas W. D. Evans, Tomi Kinnunen, Ville Vestman, Massimiliano Todisco, Héctor Delgado, Md. Sahidullah, Junichi Yamagishi, Kong Aik Lee:
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech. - Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht:
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. - Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le:
BoMb-OT: On Batch of Mini-batches Optimal Transport. - Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta:
Focusing on the Hybrid Quantum Computing - Tabu Search Algorithm: new results on the Asymmetric Salesman Problem. - Gadi Fibich, Amit Golan:
Diffusion of new products with heterogeneous consumers. - Jose Carrasco, Andreas Elben, Christian Kokail, Barbara Kraus, Peter Zoller:
Theoretical and Experimental Perspectives of Quantum Verification. - Muhammad Naeem, Jian Yu, Muhammad Aamir, Sajjad Ahmad Khan, Olayinka Adeleye, Zardad Khan:
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak. - Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs:
Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. - Cillian Harney, Mauro Paternostro, Stefano Pirandola:
Mixed State Entanglement Classification using Artificial Neural Networks. - Ramzi Ben Mhenni, Sébastien Bourguignon, Jérôme Idier:
SLS (Single 𝓁1 Selection): a new greedy algorithm with an 𝓁1-norm selection rule. - Junfeng Wu, Dawei Leng, Lurong Pan:
ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening. - Antonio Sze-To, Abtin Riasatian, Hamid R. Tizhoosh:
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features. - Moran Xu, Dianlin Hu, Weifei Wu, Weiwen Wu:
Deep Iteration Assisted by Multi-level Obey-pixel Network Discriminator (DIAMOND) for Medical Image Recovery. - Dong Si, Andrew Nakamura, Runbang Tang, Haowen Guan, Jie Hou, Ammaar Firozi, Renzhi Cao, Kyle Hippe, Minglei Zhao:
Artificial Intelligence Advances for De Novo Molecular Structure Modeling in Cryo-EM. - Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke, Gemma Fardell, Jakob Sauer Jørgensen, Edoardo Pasca, Martin J. Turner, Ryan Warr, William R. B. Lionheart, Philip J. Withers:
Core Imaging Library - Part II: Multichannel reconstruction for dynamic and spectral tomography. - Rafael Teixeira de Lima:
Sequence-based Machine Learning Models in Jet Physics. - Arnau Padrol, Eva Philippe:
Sweeps, polytopes, oriented matroids, and allowable graphs of permutations. - Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck:
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. - Harris Partaourides, Andreas Voskou, Dimitrios I. Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas:
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation. - Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Learning local regularization for variational image restoration. - Md. Kamrul Hasan, Md. Tasnim Jawad, Kazi Nasim Imtiaz Hasan, Sajal Basak Partha, Md. Masum Al Masba:
COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing. - Eugenio Aulisa, David S. Gilliam:
Approximation Methods for Geometric Regulation. - Ngoc Mai Tran, Johannes Buck, Claudia Klüppelberg:
Causal Discovery of a River Network from its Extremes. - Abdelrahman Taha, Qi Qu, Sam Alex, Ping Wang, William L. Abbott, Ahmed Alkhateeb:
Millimeter Wave MIMO based Depth Maps for Wireless Virtual and Augmented Reality. - Christian J. Steinmetz, Joshua D. Reiss:
Efficient Neural Networks for Real-time Analog Audio Effect Modeling. - Mufan (Bill) Li, Maxime Gazeau:
Higher Order Generalization Error for First Order Discretization of Langevin Diffusion. - Archiki Prasad, Preethi Jyothi, Rajbabu Velmurugan:
An Investigation of End-to-End Models for Robust Speech Recognition. - Francesco Regazzoni, Emna Amri, Samuel Burri, Davide Rusca, Hugo Zbinden, Edoardo Charbon:
A High Speed Integrated Quantum Random Number Generator with on-Chip Real-Time Randomness Extraction. - Allen G. Hart, Kevin R. Olding, A. M. G. Cox, Olga Isupova, Jonathan H. P. Dawes:
Echo State Networks for Reinforcement Learning. - Raghuveer Peri, Srinivas Parthasarathy, Charles Bradshaw, Shiva Sundaram:
Disentanglement for audio-visual emotion recognition using multitask setup. - Benedikt Ahrens, Paige Randall North, Michael Shulman, Dimitris Tsementzis:
The Univalence Principle. - Geert-Jan Huizing, Laura Cantini, Gabriel Peyré:
Unsupervised Ground Metric Learning using Wasserstein Eigenvectors. - Shruti Jadon:
COVID-19 detection from scarce chest x-ray image data using deep learning. - Andreas Maurer, Massimiliano Pontil:
Some Hoeffding- and Bernstein-type Concentration Inequalities. - Satwinder Singh, Ruili Wang, Yuanhang Qiu:
DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals. - Mengwei Ren, Neel Dey, James Fishbaugh, Guido Gerig:
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization. - Taishi Nakashima, Robin Scheibler, Masahito Togami, Nobutaka Ono:
Joint Dereverberation and Separation with Iterative Source Steering. - Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. - Ashvala Vinay, Alexander Lerch, Grace Leslie:
Mind the beat: detecting audio onsets from EEG recordings of music listening. - Kjersti Aas, Thomas Nagler, Martin Jullum, Anders Løland:
Explaining predictive models using Shapley values and non-parametric vine copulas. - Vikram Manjunath, Thayer Morrill:
Interview Hoarding. - Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier. - Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe, Alexandre Gramfort:
Leveraging Global Parameters for Flow-based Neural Posterior Estimation. - Vien V. Mai, Mikael Johansson:
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness. - Julia Gebauer, Justus Benad:
Flying V and Reference Aircraft Evacuation Simulation and Comparison. - David Bouget, André Pedersen, Johanna Vanel, Håkon Olav Leira, Thomas Langø:
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding. - Carsten W. Scherer, Christian Ebenbauer:
Convex Synthesis of Accelerated Gradient Algorithms. - Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. - Samuel Wiqvist, Jes Frellsen, Umberto Picchini:
Sequential Neural Posterior and Likelihood Approximation. - Luca Pasquini, Antonio Napolitano, Martina Lucignani, Emanuela Tagliente, Francesco Dellepiane, Maria Camilla Rossi-Espagnet, Matteo Ritrovato, Antonello Vidiri, Veronica Villani, Giulio Ranazzi, Antonella Stoppacciaro, Andrea Romano, Alberto Di Napoli, Alessandro Bozzao:
Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation. - Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, Waleed M. Mohamed:
Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images. - Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi:
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. - Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud:
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations. - Vincent Fortuin, Adrià Garriga-Alonso, Florian Wenzel, Gunnar Rätsch, Richard E. Turner, Mark van der Wilk, Laurence Aitchison:
Bayesian Neural Network Priors Revisited. - Alberto Caron, Gianluca Baio, Ioanna Manolopoulou:
Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. - Yinglun Zhu, Robert D. Nowak:
Pareto Optimal Model Selection in Linear Bandits. - Jonah Casebeer, Vinjai Vale, Umut Isik, Jean-Marc Valin, Ritwik Giri, Arvindh Krishnaswamy:
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders. - Mariana Macedo, Laura Lotero, Alessio Cardillo, Ronaldo Menezes, Hugo Barbosa:
Differences in the spatial landscape of urban mobility: gender and socioeconomic perspectives. - Mohamed Abderrahmen Abid, Ihsen Hedhli, Christian Gagné:
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images. - Keyi Wu, Peng Chen, Omar Ghattas:
A fast and scalable computational framework for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement. - Thomas Y. Hou, De Huang:
Potential Singularity Formation of 3D Axisymmetric Navier-Stokes Equations with Degenerate Variable Diffusion Coefficients. - Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock:
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. - Eduard Feireisl, Madalina Petcu, Bangwei She:
Numerical analysis of a model of two phase compressible fluid flow. - Liang Chen, Hakan Bagci:
Material absorption-based carrier generation model for modeling optoelectronic devices. - Rafael Viana Cámara, Mario Campos Soberanis, Diego Campos-Sobrino:
Hybrid phonetic-neural model for correction in speech recognition systems. - Ran Xin, Usman A. Khan, Soummya Kar:
A hybrid variance-reduced method for decentralized stochastic non-convex optimization. - Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Newton Method over Networks is Fast up to the Statistical Precision. - Xingyu Li:
Blind stain separation using model-aware generative learning and its applications on fluorescence microscopy images. - Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta:
Parameter-free Locally Accelerated Conditional Gradients. - Michael P. Friedlander, Ariel Goodwin, Tim Hoheisel:
From perspective maps to epigraphical projections. - Ruchao Fan, Amber Afshan, Abeer Alwan:
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR. - Daniel Grier, Nathan Ju, Luke Schaeffer:
Interactive quantum advantage with noisy, shallow Clifford circuits. - Ivan V. Bajic, Weisi Lin, Yonghong Tian:
Collaborative Intelligence: Challenges and Opportunities. - Lu Zhang, Li Wang, Dajiang Zhu:
Representing Alzheimer's Disease Progression via Deep Prototype Tree. - Xuemei Chen, Jing Qin:
Regularized Kaczmarz Algorithms for Tensor Recovery. - Ziyang Huang, Guang Lin, Arezoo Motavalizadeh Ardekani:
A consistent and conservative Phase-Field model for thermo-gas-liquid-solid flows including liquid-solid phase change. - Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. - Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. - Pablo Arrighi, Marin Costes, Nathanaël Eon:
Universal gauge-invariant cellular automata. - Lei Yu:
Strong Brascamp-Lieb Inequalities. - Irene Y. Chen, Rahul G. Krishnan, David A. Sontag:
Clustering Left-Censored Multivariate Time-Series. - Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris C. Holmes, Mert Gürbüzbalaban, Umut Simsekli:
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections. - Victor F. Araman, René Caldentey:
Diffusion Approximations for a Class of Sequential Testing Problems. - Haibin Wu, Xu Li, Andy T. Liu, Zhiyong Wu, Helen Meng, Hung-yi Lee:
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models. - Anand Deo, Karthyek Murthy:
Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers. - Jing Jin, Hui Liu, Junhui Hou, Hongkai Xiong:
Light Field Reconstruction via Attention-Guided Deep Fusion of Hybrid Lenses. - Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour:
Decentralized Riemannian Gradient Descent on the Stiefel Manifold. - Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth:
Healing Products of Gaussian Processes. - Samuel Cohen, K. S. Sesh Kumar, Marc Peter Deisenroth:
Sliced Multi-Marginal Optimal Transport. - Kao-Yueh Kuo, Ching-Yi Lai:
Refined Belief-Propagation Decoding of Quantum Codes with Scalar Messages. - James A. Brofos, Marcus A. Brubaker, Roy R. Lederman:
Manifold Density Estimation via Generalized Dequantization. - Srinivasan Arunachalam, Yihui Quek, John A. Smolin:
Private learning implies quantum stability. - Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne:
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. - Yiliang Zhang, Zhiqi Bu:
Efficient Designs of SLOPE Penalty Sequences in Finite Dimension. - Foivos Alimisis, Peter Davies, Dan Alistarh:
Communication-Efficient Distributed Optimization with Quantized Preconditioners. - Behrouz Kheirfam:
A new search direction for full-Newton step infeasible interior-point method in linear optimization. - Xiaobin Hu:
Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images. - Adrian Shajkofci, Michael Liebling:
Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning. - Ouns El Harzli, Guillermo Valle Pérez, Ard A. Louis:
Double-descent curves in neural networks: a new perspective using Gaussian processes. - Thibaut Cuvelier, Richard Combes, Eric Gourdin:
Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time. - Sven Köppel, Bernd Ulmann, Lars Heimann, Dirk Killat:
About using analog computers in today's largest computational challenges. - Yongwan Lim, Shrikanth S. Narayanan, Krishna S. Nayak:
Attention-gated convolutional neural networks for off-resonance correction of spiral real-time MRI. - Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim:
Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach. - Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury:
Machine Learning on Camera Images for Fast mmWave Beamforming. - Calum MacRury, Tomás Masarík, Leilani Pai, Xavier Pérez-Giménez:
The Phase Transition of Discrepancy in Random Hypergraphs. - Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang:
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. - Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. - Lucas Chesnel, Jérémy Heleine, Sergei A. Nazarov:
Design of a mode converter using thin resonant ligaments. - Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural gradient descent using local parameterizations. - Pierre Ablin, Gabriel Peyré:
Fast and accurate optimization on the orthogonal manifold without retraction. - Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra:
Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems. - Rahmetullah Varol, Sevde Omeroglu, Zeynep Karavelioglu, Gizem Aydemir, Aslihan Karadag, Hanife Ecenur Meco, Gizem Calibasi Kocal, Muhammed Enes Oruc, Gokhan Bora Esmer, Yasemin Basbinar, Huseyin Uvet:
Holographic Cell Stiffness Mapping Using Acoustic Stimulation. - Michael Arbel, Alexander G. de G. Matthews, Arnaud Doucet:
Annealed Flow Transport Monte Carlo. - Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri:
Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach. - Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth:
Certifiably Robust Variational Autoencoders. - Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said:
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. - Barbara Kaltenbacher, William Rundell:
On the identification of the nonlinearity parameter in the Westervelt equation from boundary measurements. - Sobhan Shafiei, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings. - Iñaki Rodríguez-García, Miguel Cárdenas-Montes:
Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory. - Lapo Cioni, Luca S. Ferrari:
Preimages under the Queuesort algorithm. - Yangyi Lu, Amirhossein Meisami, Ambuj Tewari:
Causal Markov Decision Processes: Learning Good Interventions Efficiently. - Anibal M. Medina-Mardones:
A computer algebra system for the study of commutativity up-to-coherent homotopies. - Marc Rocas, Alberto García-González, Sergio Zlotnik, Xabier Larráyoz, Pedro Díez:
Nonintrusive Uncertainty Quantification for automotive crash problems with VPS/Pamcrash. - Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen:
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields. - Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch:
Cancer Gene Profiling through Unsupervised Discovery. - Émilie Charlier, Célia Cisternino:
Expansions in Cantor real bases. - Yazan Qiblawey, Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati:
Detection and severity classification of COVID-19 in CT images using deep learning. - Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya:
Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. - Antônio H. Ribeiro, Thomas B. Schön:
How Convolutional Neural Networks Deal with Aliasing. - Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Dmitry Kovalev, Pavel E. Dvurechensky, Alexander V. Gasnikov:
Decentralized Distributed Optimization for Saddle Point Problems. - Yukiya Hono, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
PeriodNet: A non-autoregressive waveform generation model with a structure separating periodic and aperiodic components. - Weiyuan Gong, Dong-Ling Deng:
Universal Adversarial Examples and Perturbations for Quantum Classifiers. - Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon:
Top-k eXtreme Contextual Bandits with Arm Hierarchy. - Shanny Lin, Hao Zhu:
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids. - Junpei Komiyama, Masaya Abe, Kei Nakagawa, Kenichiro McAlinn:
Controlling False Discovery Rates Using Null Bootstrapping. - Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg, Luuk van der Hoek, Josien P. W. Pluim, Javier Cabrerizo, Mark Alberti, Mitko Veta:
Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty. - Adrien Corenflos, James Thornton, Arnaud Doucet, George Deligiannidis:
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport. - Yongwan Lim, Asterios Toutios, Yannick Bliesener, Ye Tian, Sajan Goud Lingala, Colin Vaz, Tanner Sorensen, Miran Oh, Sarah Harper, Weiyi Chen, Yoon-Jeong Lee, Johannes Töger, Mairym Lloréns Monteserín, Caitlin Smith, Bianca Godinez, Louis Goldstein, Dani Byrd, Krishna S. Nayak, Shrikanth S. Narayanan:
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images. - Fanwei Kong, Nathan M. Wilson, Shawn C. Shadden:
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction. - Davis Gilton, Gregory Ongie, Rebecca Willett:
Deep Equilibrium Architectures for Inverse Problems in Imaging. - Lukas Kölsch, Lena Zellmann, Rishabh Vyas, Martin Pfeifer, Sören Hohmann:
Optimal Distributed Frequency and Voltage Control for Zonal Electricity Markets. - Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. - Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Dong Yu:
Deep Learning based Multi-Source Localization with Source Splitting and its Effectiveness in Multi-Talker Speech Recognition. - Junqi Wang, Pei Wang, Patrick Shafto:
Efficient Discretizations of Optimal Transport. - Nima Hamidi, Mohsen Bayati:
The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling. - Tao Wang, Wenjun Xia, Yongqiang Huang, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang:
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Fluid-structure interaction simulations with a LES filtering approach in solids4Foam. - Fernando Martin-Maroto, Gonzalo G. de Polavieja:
Finite Atomized Semilattices. - Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. - Jaeseong You, Gyuhyeon Nam, Dalhyun Kim, Gyeongsu Chae:
Axial Residual Networks for CycleGAN-based Voice Conversion. - Edward J. Oughton, Ashutosh Jha:
Supportive 5G infrastructure policies are essential for universal 6G: Evidence from an open-source techno-economic simulation model using remote sensing. - Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini:
Making the most of your day: online learning for optimal allocation of time. - (Withdrawn) A Law of Robustness for Weight-bounded Neural Networks.
- Pavel Ciaian, d'Artis Kancs, Miroslava Rajcaniova:
Interdependencies between Mining Costs, Mining Rewards and Blockchain Security. - Clara B. Salucci, Azzeddine Bakdi, Ingrid Kristine Glad, Erik Vanem, Riccardo De Bin:
Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks. - Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová:
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. - Marco Ortu, Nicola Uras, Claudio Conversano, Giuseppe Destefanis, Silvia Bartolucci:
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning. - Junhyung Park, Uri Shalit, Bernhard Schölkopf, Krikamol Muandet:
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression. - Masoumeh Zareh, Mohammad Hossein Manshaei, Sayed Jalal Zahabi:
Modeling the Hallucinating Brain: A Generative Adversarial Framework. - Edilson F. Arruda, Rodrigo e Alvim Alexandre, Marcelo D. Fragoso, João Bosco Ribeiro do Val, Sinnu Susan Thomas:
A Novel Stochastic Epidemic Model with Application to COVID-19. - Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. - Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano, Miguel O. Bernabeu, Rik Sarkar, Primoz Skraba:
Euler Characteristic Surfaces. - Alisya Putri Rabbani, Andry Alamsyah, Sri Widiyanesti:
An Effort to Measure Customer Relationship Performance in Indonesia's Fintech Industry. - Minjia Shi, Olivier Rioul, Patrick Solé:
Designs in finite metric spaces: a probabilistic approach. - AmirAbbas Davari, Saahil Islam, Thorsten Seehaus, Matthias H. Braun, Andreas Maier, Vincent Christlein:
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery. - Artem Artemev, David R. Burt, Mark van der Wilk:
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients. - Max Morrison, Lucas Rencker, Zeyu Jin, Nicholas J. Bryan, Juan Pablo Cáceres, Bryan Pardo:
Context-Aware Prosody Correction for Text-Based Speech Editing. - Jongeun Kim, Sven Leyffer, Prasanna Balaprakash:
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics. - Ahmet Alacaoglu, Yura Malitsky:
Stochastic Variance Reduction for Variational Inequality Methods. - Shirshendu Ganguly, Kyeongsik Nam:
Large deviations for the largest eigenvalue of Gaussian networks with constant average degree. - Joshua Batson, C. Grace Haaf, Yonatan Kahn, Daniel A. Roberts:
Topological Obstructions to Autoencoding. - Mike Walmsley, Chris J. Lintott, Tobias Géron, Sandor Kruk, Coleman Krawczyk, Kyle W. Willett, Steven Bamford, William Keel, Lee S. Kelvin, Lucy Fortson, Karen L. Masters, Vihang Mehta, Brooke D. Simmons, Rebecca J. Smethurst, Elisabeth M. Baeten, Christine Macmillan:
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies. - Hannan Adeel, Syed Sohaib Ali, Muhammad Mohsin Riaz, Syed Abdul Mannan Kirmani, Muhammad Imran Qureshi, Junaid Imtiaz:
Learning deep multiresolution representations for pansharpening. - Casey Duckering, Jonathan M. Baker, Andrew Litteken, Frederic T. Chong:
Orchestrated Trios: Compiling for Efficient Communication in Quantum Programs with 3-Qubit Gates. - Joseph N. Stember, Parvathy Jayan, Hrithwik Shalu:
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics. - Teresa Chouzouris, Nicolas Roth, Caglar Cakan, Klaus Obermayer:
Applications of nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. - Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
Causal Estimation with Functional Confounders. - Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis:
Robust Estimation of Tree Structured Markov Random Fields. - Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. - Ayumi Igarashi, William S. Zwicker:
Fair division of graphs and of tangled cakes. - Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli:
Robust Mean Estimation in High Dimensions via Global Outlier Pursuit. - Donghwan Lee:
Finite-Time Error Analysis of Asynchronous Q-Learning with Discrete-Time Switching System Models. - Farida Kachapova:
Formalizing relations in type theory. - Xinyu Bian, Yuyi Mao, Jun Zhang:
Supporting More Active Users for Massive Access via Data-assisted Activity Detection. - Émilie Charlier, Célia Cisternino, Karma Dajani:
Dynamical behavior of alternate base expansions. - Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant:
A General Framework for the Derandomization of PAC-Bayesian Bounds. - Marco J. H. Puts, Piet J. H. Daas:
Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach. - Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren:
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings. - Ronen Eldan, Dan Mikulincer, Tselil Schramm:
Non-asymptotic approximations of neural networks by Gaussian processes. - Orcun Karaca, Stefanos Delikaraoglou, Maryam Kamgarpour:
A market-based approach for enabling inter-area reserve exchange. - Giulia Giordano, Marta Colaneri, Alessandro Di Filippo, Franco Blanchini, Paolo Bolzern, Giuseppe De Nicolao, Paolo Sacchi, Raffaele Bruno, Patrizio Colaneri:
Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment. - Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann:
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. - Qazi Ammar Arshad, Mohsen Ali, Saeed-Ul Hassan, Chen Chen, Ayisha Imran, Ghulam Rasul, Waqas Sultani:
A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images. - Chris Heunen, Robin Kaarsgaard:
Bennett and Stinespring, Together at Last. 102-118 - Davide Ferrari, Ivano Tavernelli, Michele Amoretti:
Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns. - Karim Lounici, Katia Meziani, Benjamin Riu:
Muddling Labels for Regularization, a novel approach to generalization. - Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny:
Geostatistical Learning: Challenges and Opportunities. - Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch:
Chance-Constrained Active Inference. - Anton Bernshteyn:
Probabilistic constructions in continuous combinatorics and a bridge to distributed algorithms. - Pantelis-Rafail Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos:
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics. - Zihao Zhang, Bryan Lim, Stefan Zohren:
Deep Learning for Market by Order Data. - Tom de Jong, Martín Hötzel Escardó:
Predicative Aspects of Order Theory in Univalent Foundations. - Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. - Timothy H. Hughes, Edward H. Branford:
Dissipativity, reciprocity and passive network synthesis: from Jan Willems' seminal Dissipative Dynamical Systems papers to the present day. - Hanbyul Lee, Kevin Bello, Jean Honorio:
On the Fundamental Limits of Exact Inference in Structured Prediction. - Nisheeth Joshi, Pragya Katyayan, Syed Afroz Ahmed:
Evaluating the Performance of Some Local Optimizers for Variational Quantum Classifiers. - Masahiro Kato:
Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability. - Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. - Leonardo Banchi, Jason Luke Pereira, Stefano Pirandola:
Generalization in Quantum Machine Learning: a Quantum Information Perspective. - Júlia Koltai, Orsolya Vásárhelyi, Gergely Röst, Márton Karsai:
Monitoring behavioural responses during pandemic via reconstructed contact matrices from online and representative surveys. - Jonathan Bunton, Paulo Tabuada:
Joint Continuous and Discrete Model Selection via Submodularity. - Ali Hasan, Khalil Elkhalil, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh:
Deep Extreme Value Copulas for Estimation and Sampling. - Zachary J. Grey, Susanna Mosleh, Jacob D. Rezac, Yao Ma, Jason B. Coder, Andrew M. Dienstfrey:
Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing. - Thomas Strypsteen, Alexander Bertrand:
End-to-end learnable EEG channel selection with deep neural networks. - Qiyuan Tian, Ziyu Li, Qiuyun Fan, Chanon Ngamsombat, Yuxin Hu, Congyu Liao, Fuyixue Wang, Kawin Setsompop, Jonathan R. Polimeni, Berkin Bilgic, Susie Yi Huang:
SRDTI: Deep learning-based super-resolution for diffusion tensor MRI. - Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. - Gary Yeung, Ruchao Fan, Abeer Alwan:
Fundamental Frequency Feature Normalization and Data Augmentation for Child Speech Recognition. - Andry Alamsyah, Nurlisa Laksmiani, Lies Anisa Rahimi:
A Core of E-Commerce Customer Experience based on Conversational Data using Network Text Methodology. - Bingyan Han:
Understanding algorithmic collusion with experience replay. - Tomoyuki Morimae, Takashi Yamakawa:
Classically Verifiable (Dual-Mode) NIZK for QMA with Preprocessing. - Olga P. Stoyanovskaya, Fedor A. Okladnikov, Eduard I. Vorobyov, Yaroslav N. Pavlyuchenkov, Vitaliy V. Akimkin:
Simulations of Dynamical Gas-Dust Circumstellar Disks: Going Beyond the Epstein Regime. - Yosuke Kashiwagi, Emiru Tsunoo, Shinji Watanabe:
Gaussian Kernelized Self-Attention for Long Sequence Data and Its Application to CTC-based Speech Recognition. - Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda:
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. - Rafael A. Melo, Celso C. Ribeiro:
Maximum weighted induced forests and trees: New formulations and a computational comparative review. - Hugo Lavenant, Stephen Zhang, Young-Heon Kim, Geoffrey Schiebinger:
Towards a mathematical theory of trajectory inference. - Yuma Iwasaki, Masahiko Ishida:
Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression. - Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Alexander Rogozin, Alexander V. Gasnikov:
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks. - Tao Hong, Irad Yavneh:
On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems. - Johannes Feldmann, Nathan Youngblood, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice:
All-optical spiking neurosynaptic networks with self-learning capabilities. - Maoyuan Xu, Xiaoping Xie:
NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image Denoising. - Jonas Denck, Jens Guehring, Andreas Maier, Eva Rothgang:
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks. - Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
On the Convergence of Step Decay Step-Size for Stochastic Optimization. - Mark Helman, Dominique Laurain, Ronaldo Garcia, Dan Reznik:
Invariant Center Power and Elliptic Loci of Poncelet Triangles. - Dimitrios Bachtis, Gert Aarts, Biagio Lucini:
Quantum field-theoretic machine learning. - Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig:
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data. - Massimiliano Goldwurm, Jianyi Lin, Marco Vignati:
Local limit laws for symbol statistics in bicomponent rational models. - Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. - David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude:
Transfer Learning for Linear Regression: a Statistical Test of Gain. - Massimo Bernaschi, Mauro Bisson, Massimiliano Fatica, Enzo Marinari, Victor Martin-Mayor, Giorgio Parisi, Federico Ricci-Tersenghi:
How we are leading a 3-XORSAT challenge: from the energy landscape to the algorithm and its efficient implementation on GPUs. - Tatiana A. Bubba, Martin Burger, Tapio Helin, Luca Ratti:
Convex regularization in statistical inverse learning problems. - Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff. - Bo Waggoner:
Linear Functions to the Extended Reals. - Carsten Hartmann, Lorenz Richter:
Nonasymptotic bounds for suboptimal importance sampling. - Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng:
Noise Entangled GAN For Low-Dose CT Simulation. - Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve B. Jiang:
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability. - Xin Xing, Xiaoxu Li, Lin Lin:
Staggered mesh method for correlation energy calculations of solids: Second order Møller-Plesset perturbation theory. - W. Bastiaan Kleijn, Andrew Storus, Michael Chinen, Tom Denton, Felicia S. C. Lim, Alejandro Luebs, Jan Skoglund, Hengchin Yeh:
Generative Speech Coding with Predictive Variance Regularization. - Takuya Higuchi, Shreyas Saxena, Mehrez Souden, Tien Dung Tran, Masood Delfarah, Chandra Dhir:
Dynamic curriculum learning via data parameters for noise robust keyword spotting. - Ka Kin Lam, Bo Wang:
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches. - Rafael A. Melo, Michell F. Queiroz, Marcio Costa Santos:
A matheuristic approach for the $b$-coloring problem using integer programming and a multi-start multi-greedy randomized metaheuristic. - Ying Zuo, Zhao Yujun, You-Chiuan Chen, Shengwang Du, Junwei Liu:
Scalability of all-optical neural networks based on spatial light modulators. - Sotaro Katayama, Toshiyuki Ohtsuka:
Efficient Riccati recursion for optimal control problems with pure-state equality constraints. - Robert Chin, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe:
A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning. - Sun Hong Lim, Sunwoo Kim, Byonghyo Shim, Jun Won Choi:
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility. - Shichao Kan, Yue Zhang, Fanghui Zhang, Yigang Cen:
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing. - Mi-Song Dupuy, Antoine Levitt:
Finite-size effects in response functions of molecular systems. - Thomas Bläsius, Tobias Friedrich, Martin S. Krejca, Louise Molitor:
The Flip Schelling Process on Random Geometric and Erdös-Rényi Graphs. - Huaibao Zhang, Fan Zhang:
On the numerical overshoots of shock-capturing schemes. - Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Matteo De Marco, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis. - J. Zheng, X. Wu, F. Fang, J. Li, Z. Wang, H. Xiao, J. Zhu, Christopher C. Pain, Paul Linden, B. Xiang:
Numerical study of COVID-19 spatial-temporal spreading in London. - Jens Abraham, Torbjörn Ekman:
Fading Margins for Large-Scale Antenna Systems. - Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang:
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. - Prashanth Gurunath Shivakumar, Shrikanth Narayanan:
End-to-End Neural Systems for Automatic Children Speech Recognition: An Empirical Study. - Lasse Borgholt, Jakob Drachmann Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel:
Do End-to-End Speech Recognition Models Care About Context? - A. Kishore Kumar, Shefali Waldekar, Goutam Saha, Md. Sahidullah:
ABSP System for The Third DIHARD Challenge. - Satvik Venkatesh, David Moffat, Alexis Kirke, Gözel Shakeri, Stephen A. Brewster, Jörg Fachner, Helen Odell-Miller, Alex Street, Nicolas Farina, Sube Banerjee, Eduardo Reck Miranda:
Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast. - Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto:
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. - Luis C. García-Peraza-Herrera, Martin Everson, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren:
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology. - Claire Lazar Reich:
Resolving the Disparate Impact of Uncertainty: Affirmative Action vs. Affirmative Information. - Alberto Bietti:
On Approximation in Deep Convolutional Networks: a Kernel Perspective. - Alexandre Kirszenberg, Guillaume Tochon, Élodie Puybareau, Jesús Angulo:
Going beyond p-convolutions to learn grayscale morphological operators. - David Leslie:
The Arc of the Data Scientific Universe. - France Gheeraert, Marie Lejeune, Julien Leroy:
$\mathcal{S}$-adic characterization of minimal ternary dendric subshifts. - James Foster, Karen Habermann:
Brownian bridge expansions for Lévy area approximations and particular values of the Riemann zeta function. - Hong-Ye Hu, Yi-Zhuang You:
Hamiltonian-Driven Shadow Tomography of Quantum States. - Sebastian M. Cioaba, Himanshu Gupta:
On the eigenvalues of Grassmann graphs, Bilinear forms graphs and Hermitian forms graphs. - Jacob Fox, Zoe M. Himwich, Nitya Mani:
Making an $H$-Free Graph $k$-Colorable. - Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang:
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. - Yaroslav Balytskyi, Manohar Raavi, Anatoliy Pinchuk, Sang-Yoon Chang:
$\mathcal{PT}$-Symmetric Quantum State Discrimination for Attack on BB84 Quantum Key Distribution. - Shaogao Lv:
Generalization bounds for graph convolutional neural networks via Rademacher complexity. - Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, Carey E. Priebe:
Inducing a hierarchy for multi-class classification problems. - Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti:
Large-width functional asymptotics for deep Gaussian neural networks. - Jay Santoki:
Phase-field modeling on the diffusion-driven processes in metallic conductors and lithium-ion batteries. - Leon Ofman, Amir Averbuch, Adi Shliselberg, Idan Benaun, David Segev, Aron Rissman:
Automated identification of transiting exoplanet candidates in NASA Transiting Exoplanets Survey Satellite (TESS) data with machine learning methods. - Chee-Ming Ting, Jeremy I. Skipper, Steven L. Small, Hernando C. Ombao:
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. - Bryn Elesedy, Sheheryar Zaidi:
Provably Strict Generalisation Benefit for Equivariant Models. - Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie:
Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. - Joe Gildea, Adrian Korban, Adam Michael Roberts:
New binary self-dual codes of lengths 56, 58, 64, 80 and 92 from a modification of the four circulant construction. - Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks. - K. K. Sabirov, J. R. Yusupov, M. M. Aripov, Matthias Ehrhardt, D. U. Matrasulov:
Reflectionless propagation of Manakov solitons on a line: A model based on the concept of transparent boundary conditions. - Gerardo Roa Dabike, Jon Barker:
The Use of Voice Source Features for Sung Speech Recognition. - Matthew Deakin, Hannah Bloomfield, David M. Greenwood, Sarah Sheehy, Sara Walker, Philip C. Taylor:
Impacts of Heat Decarbonisation on System Adequacy considering Increased Meteorological Sensitivity. - Ting Y, Xiaoxuan Ma, Ernest Pastor, Jonathan K. George, Simon Wall, Mario Miscuglio, Robert E. Simpson, Volker J. Sorger:
All-Chalcogenide Programmable All-Optical Deep Neural Networks. - Abdurrahman Fouda, Ryan Keating, Amitava Ghosh:
Dynamic Selective Positioning for High-Precision Accuracy in 5G NR V2X Networks. - Andrei Iantsen, Dimitris Visvikis, Mathieu Hatt:
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images. - João Pandeirada, Miguel Bergano, João Neves, Paulo Marques, Domingos Barbosa, Bruno Coelho, Valério Ribeiro:
Development of the first Portuguese radar tracking sensor for Space Debris. - Scott Aaronson, Sabee Grewal:
Efficient Learning of Non-Interacting Fermion Distributions. - Sourav Dutta, Georgios Detorakis, Abhishek Khanna, Benjamin Grisafe, Emre Neftci, Suman Datta:
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference. - Alexandra M. Jurgens, James P. Crutchfield:
Divergent Predictive States: The Statistical Complexity Dimension of Stationary, Ergodic Hidden Markov Processes. - Boris Hanin, Ryan Jeong, David Rolnick:
Deep ReLU Networks Preserve Expected Length. - Roozbeh Yousefzadeh:
A Sketching Method for Finding the Closest Point on a Convex Hull. - Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. - Alex Cohen, Guy Moshkovitz:
An Optimal Inverse Theorem. - Peter Gunnarson, Ioannis Mandralis, Guido Novati, Petros Koumoutsakos, John O. Dabiri:
Learning Efficient Navigation in Vortical Flow Fields. - Zhenyu Han, Fengli Xu, Yong Li, Tao Jiang, Depeng Jin, Jianhua Lu, James A. Evans:
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities. - Kolos Csaba Ágoston, László Csató:
Extension of Saaty's inconsistency index to incomplete comparisons: Approximated thresholds. - Mohammad S. Golsorkhi, Maryam A. Hejazi, G. B. Gharepetian, Razieh Mosayebi:
Detection of Winding Axial Deformation in Power Transformers by UWB Radar Imaging. - Nicolas Bousquet, Alice Joffard:
TS-Reconfiguration of Dominating Sets in circle and circular-arc graphs. - Nicolas Boullé, Vassilios Dallas, Patrick E. Farrell:
Bifurcation analysis of two-dimensional Rayleigh-Bénard convection using deflation. - Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir M. Rajpoot:
Classification of COVID-19 via Homology of CT-SCAN. - Beichuan Deng, Yeonjong Shin, Lu Lu, Zhongqiang Zhang, George Em Karniadakis:
Convergence rate of DeepONets for learning operators arising from advection-diffusion equations. - Antonio Di Crescenzo, Suchandan Kayal, Alessandra Meoli:
Fractional generalized cumulative entropy and its dynamic version. - Ahlad Kumar, Harsh Vardhan Singh:
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution. - Filippo Costa, Michele Borgese:
Electromagnetic Model of Reflective Intelligent Surfaces. - George Council, Shai Revzen, Samuel A. Burden:
Representing and computing the B-derivative of an $EC^r$ vector field's $PC^r$ flow. - HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin:
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. - Lucy Liu, Gary P. T. Choi, L. Mahadevan:
Wallpaper group kirigami. - Xueying Chen, Jerry Q. Cheng, Min-ge Xie:
Divide-and-conquer methods for big data analysis. - Olexandr Polishchuk:
Flow approaches to community detection in complex network systems. - Rajasree Sarkar, Deepak U. Patil, Indra Narayan Kar:
Characterization of Minimum Time-Fuel Optimal Control for LTI Systems. - Andreas Schimpe, Simon Hoffmann, Frank Diermeyer:
Adaptive Video Configuration and Bitrate Allocation for Teleoperated Driving. - Jair Koiller, Dan Reznik, Ronaldo Garcia:
Average Elliptic Billiard Invariants with Spatial Integrals. - Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang:
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation. - Hugo Richard, Pierre Ablin, Aapo Hyvärinen, Alexandre Gramfort, Bertrand Thirion:
Adaptive Multi-View ICA: Estimation of noise levels for optimal inference. - Bob Coecke, Dominic Horsman, Aleks Kissinger, Quanlong Wang:
Kindergarden quantum mechanics graduates (...or how I learned to stop gluing LEGO together and love the ZX-calculus). - Yurui Ming:
Coherence of Working Memory Study Between Deep Neural Network and Neurophysiology. - Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. - Boyu Zhang, Mushen Zhou, Jianzhong Wu, Fuchang Gao:
Predicting Material Properties Using a 3D Graph Neural Network with Invariant Local Descriptors. - Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu:
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. - Serkan Budak, Bahadir Akbal:
Determination of Fault Location in Transmission Lines with Image Processing and Artificial Neural Networks. - Rahul Singh:
Debiased Kernel Methods. - Serkan Budak, Bahadir Akbal:
Comparative Fault Location Estimation by Using Image Processing in Mixed Transmission Lines. - Shunjie Dong, Qianqian Yang, Yu Fu, Mei Tian, Cheng Zhuo:
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection. - Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su:
Federated $f$-Differential Privacy. - Thomas Kirchner, Martin Frenz:
Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring. - Sayed Pouria Talebi, Stefan Werner, Vijay Gupta, Yih-Fang Huang:
On Stability and Convergence of Distributed Filters. - Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Karan Singla, Victor Ardulov, Raghuveer Peri, Derek D. Caperton, James Gibson, Michael J. Tanana, Panayiotis G. Georgiou, Jake Van Epps, Sarah P. Lord, Tad Hirsch, Zac E. Imel, David C. Atkins, Shrikanth Narayanan:
"Am I A Good Therapist?" Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies. - Andrew M. Childs, Shih-Han Hung, Tongyang Li:
Quantum query complexity with matrix-vector products. - Mo Zhou, Jiequn Han, Jianfeng Lu:
Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. - Tefjol Pllaha, Kalle Volanto, Olav Tirkkonen:
Decomposition of Clifford Gates. - Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane:
Direct-Search for a Class of Stochastic Min-Max Problems. - Dan Li, Nagi Gebraeel, Kamran Paynabar, A. P. Sakis Meliopoulos:
An Online Approach to Cyberattack Detection and Localization in Smart Grid. - Brendon Lutnick, Leema Krishna Murali, Brandon Ginley, Pinaki Sarder:
Histo-fetch - On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training. - Alexander Robey, George J. Pappas, Hamed Hassani:
Model-Based Domain Generalization. - Saahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar:
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels. - Tao Zhou:
Progresses and Challenges in Link Prediction. - Rafael Viana Cámara, Diego Campos-Sobrino, Mario Campos Soberanis:
Evolutionary optimization of contexts for phonetic correction in speech recognition systems. - The Khai Nguyen, Ha H. Nguyen, Ebrahim Bedeer:
Performance Improvement of LoRa Modulation with Signal Combining. - Elham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Ng Wei Lin, Kartini Binti Rahman, Nur Aishah Taib, Sarinder Kaur Dhillon:
Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks. - Wangyou Zhang, Christoph Böddeker, Shinji Watanabe, Tomohiro Nakatani, Marc Delcroix, Keisuke Kinoshita, Tsubasa Ochiai, Naoyuki Kamo, Reinhold Haeb-Umbach, Yanmin Qian:
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend. - Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith:
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. - Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition. - Chenda Li, Zhuo Chen, Yi Luo, Cong Han, Tianyan Zhou, Keisuke Kinoshita, Marc Delcroix, Shinji Watanabe, Yanmin Qian:
Dual-Path Modeling for Long Recording Speech Separation in Meetings. - Henry von Wahl, Thomas Richter:
Using a deep neural network to predict the motion of under-resolved triangular rigid bodies in an incompressible flow. - Werner Bauer, Colin J. Cotter, Beth A. Wingate:
Higher order phase averaging for highly oscillatory systems. - Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. - Chihiro Watanabe, Taiji Suzuki:
Goodness-of-fit Test on the Number of Biclusters in Relational Data Matrix. - Larry Bull:
On Sexual Selection. - Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan:
Cell abundance aware deep learning for cell detection on highly imbalanced pathological data. - Wout Merbis:
Exact epidemic models from a tensor product formulation. - Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck:
Deep Unrolled Network for Video Super-Resolution. - Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. - Stefano Sarao Mannelli, Pierfrancesco Urbani:
Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem. - Gideon Amir, Itai Arieli, Galit Ashkenazi-Golan, Ron Peretz:
Robust Naive Learning in Social Networks. - Ahmet M. Elbir, Anastasios K. Papazafeiropoulos, Symeon Chatzinotas:
Federated Learning for Physical Layer Design. - Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre, Samuel F. Neyens, E. R. MacQuarrie, Mark A. Eriksson, Jacob M. Taylor:
Ray-based framework for state identification in quantum dot devices. - Xuecheng Yin, I. Esra Büyüktahtakin:
A Multi-Stage Stochastic Programming Approach to Epidemic Resource Allocation with Equity Considerations. - Lisa A. Elkin, Matthew Kay, James J. Higgins, Jacob O. Wobbrock:
An Aligned Rank Transform Procedure for Multifactor Contrast Tests. - Lorenz Richter, Leon Sallandt, Nikolas Nüsken:
Solving high-dimensional parabolic PDEs using the tensor train format. - Zhou Shangnan, Yixu Wang:
Quantum Cross Entropy and Maximum Likelihood Principle. - Tom Denton, Alejandro Luebs, Felicia S. C. Lim, Andrew Storus, Hengchin Yeh, W. Bastiaan Kleijn, Jan Skoglund:
Handling Background Noise in Neural Speech Generation. - Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki:
A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning. - Puneet Mathur, Trisha Mittal, Dinesh Manocha:
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification. - Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi:
Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems. - Chaya Keller:
On the number of hyperedges in the hypergraph of lines and pseudo-discs. - Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Multi-Group Multicast Beamforming by Superiorized Projections onto Convex Sets. - Yuriy V. Pershin, J. Kim, T. Datta, Massimiliano Di Ventra:
An experimental demonstration of the memristor test. - Jiaming Xu, Kuang Xu, Dana Yang:
Learner-Private Online Convex Optimization. - Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Poe Xing, Min Xu:
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography. - Changfa Shi, Min Xian, Xiancheng Zhou, Haotian Wang, Heng-Da Cheng:
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation. - Dániel Kondor, Nikola Bulatovic, József Stéger, István Csabai, Gábor Vattay:
The rich still get richer: Empirical comparison of preferential attachment via linking statistics in Bitcoin and Ethereum. - Gil Kur, Alexander Rakhlin:
On the Minimal Error of Empirical Risk Minimization. - Ju Lin, Adriaan J. de Lind van Wijngaarden, Kuang-Ching Wang, Melissa C. Smith:
Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks. - Steven L. Brunton, Marko Budisic, Eurika Kaiser, J. Nathan Kutz:
Modern Koopman Theory for Dynamical Systems. - Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk:
The Promises and Pitfalls of Deep Kernel Learning. - Claudio Conti:
Gaussian boson sampling and multi-particle event optimization by machine learning in the quantum phase space. - Md Mamunur Rahaman, Chen Li, Yudong Yao, Frank Kulwa, Xiangchen Wu, Xiaoyan Li, Qian Wang:
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques. - Jeremy Heng, Ajay Jasra, Kody J. H. Law, Alexander Tarakanov:
On Unbiased Estimation for Discretized Models. - Nicolas Schreuder, Evgenii Chzhen:
Classification with abstention but without disparities. - Kody J. H. Law, Vitaly Zankin:
Sparse online variational Bayesian regression. - Davide Zorzenon, Jan Komenda, Jörg Raisch:
The non-positive circuit weight problem in parametric graphs: a fast solution based on dioid theory. - Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan:
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks. - Andry Alamsyah, Fariz Denada Sudrajat, Herry Irawan:
Property Business Classification Model Based on Indonesia E-Commerce Data. - Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng:
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors. - Alexander Engelmann, Timm Faulwasser:
Decentralized conjugate gradients with finite-step convergence. - Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul:
Set-valued classification - overview via a unified framework. - Adam Michael Roberts:
Quaternary Hermitian self-dual codes of lengths 26, 32, 36, 38 and 40 from modifications of well-known circulant constructions. - Lucas Mentch, Giles Hooker:
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning. - John Sylvester:
The Cover Time of a (Multiple) Markov Chain with Rational Transition Probabilities is Rational. - Colin Lea, Vikramjit Mitra, Aparna Joshi, Sachin Kajarekar, Jeffrey P. Bigham:
SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter. - Marc René Schädler:
Thoughts on the potential to compensate a hearing loss in noise. - Stephanie Allen, John P. Dickerson, Steven A. Gabriel:
Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games. - Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier:
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements. - Jonathan Niles-Weed, Ilias Zadik:
It was "all" for "nothing": sharp phase transitions for noiseless discrete channels. - Giulio Vignoli, Julien Guillemoteau, Jeniffer Barreto, Matteo Rossi:
Reconstruction, with tunable sparsity levels, of shear-wave velocity profiles from surface wave data. - Camilla Calì, Maria Longobardi, Claudio Macci, Barbara Pacchiarotti:
Asymptotic results for linear combinations of spacings generated by i.i.d. exponential random variables. - Abhimanyu Dubey:
No-Regret Algorithms for Private Gaussian Process Bandit Optimization. - Haruhisa Iijima:
Energy-consistent finite difference schemes for compressible hydrodynamics and magnetohydrodynamics using nonlinear filtering. - Robert Salzmann, Nilanjana Datta, Gilad Gour, Xin Wang, Mark M. Wilde:
Symmetric distinguishability as a quantum resource. - Joonho Kim, Yaron Oz:
Entanglement Diagnostics for Efficient Quantum Computation. - Akriti Verma, Adnan Anwar:
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation. - Felipe Vargas, Fabio De Colle, Daniel Brethauer, Raffaella Margutti, Cristian G. Bernal:
Survival of the Fittest: Numerical Modeling of Supernova 2014C. - Guillermo Lorenzo, David A. Hormuth II, Angela M. Jarrett, Ernesto A. B. F. Lima, Shashank Subramanian, George Biros, J. Tinsley Oden, Thomas J. R. Hughes, Thomas E. Yankeelov:
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. - Florian Lux, Ngoc Thang Vu:
Meta-Learning for improving rare word recognition in end-to-end ASR. - Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. - Seungjoon Lee, Hyungbo Shim:
Blended Dynamics Approach to Distributed Optimization: Sum Convexity and Convergence Rate. - Yuanqing Wang, Theofanis Karaletsos:
Stochastic Aggregation in Graph Neural Networks. - Hoshin V. Gupta, Mohammed Reza Ehsani, Tirthankar Roy, Maria A. Sans-Fuentes, Uwe Ehret, Ali Behrangi:
Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. - Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He:
A Local Method for Identifying Causal Relations under Markov Equivalence. - Brendan Keith, Akshay Khadse, Scott E. Field:
Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements. - (Withdrawn) Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff.
- Jinquan Guo, Rongda Fu, Lin Pan, Shaohua Zheng, Liqin Huang, Bin Zheng, Bingwei He:
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing. - Edgar Beck, Carsten Bockelmann, Armin Dekorsy:
ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity. - Sebastiano Boscarino, Seung-Yeon Cho, Maria Groppi, Giovanni Russo:
BGK models for inert mixtures: comparison and applications. - Oliver J. D. Barrowclough, Georg Muntingh, Varatharajan Nainamalai, Ivar Stangeby:
Binary segmentation of medical images using implicit spline representations and deep learning. - Jitesh Seth, Rohit Lokwani, Viraj Kulkarni, Aniruddha Pant, Amit Kharat:
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations. - ChangYong Oh, Efstratios Gavves, Max Welling:
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. - Arun Sebastian, Peter A. Cistulli, Gary Cohen, Philip de Chazal:
Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings. - Boris Bukh, Ting-Wei Chao:
Digital almost nets. - Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. - Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy:
Distribution-Free Robust Linear Regression. - Nikolas Nüsken, D. R. Michiel Renger:
Stein Variational Gradient Descent: many-particle and long-time asymptotics. - Xi Wang, Laurence Aitchison:
A statistical theory of out-of-distribution detection. - Christoph Dehner, Ivan Olefir, Kaushik Basak Chowdhury, Dominik Jüstel, Vasilis Ntziachristos:
Deep learning based electrical noise removal enables high spectral optoacoustic contrast in deep tissue. - The Tien Mai:
On continual single index learning. - Lech Duraj, Jakub Kozik, Dmitry A. Shabanov:
Random hypergraphs and property B. - Noureddine Tayebi, Varvara Kollia, Pradyumna S. Singh:
Metal-Oxide Sensor Array for Selective Gas Detection in Mixtures. - Nayara Aguiar, Vijay Gupta, Rodrigo D. Trevizan, Babu Chalamala, Raymond H. Byrne:
Data-Driven Incident Detection in Power Distribution Systems. - Claire Birnie, Haithem Jarraya, Fredrik Hansteen:
An introduction to distributed training of deep neural networks for segmentation tasks with large seismic datasets. - Aleix Bassolas, Andrea Santoro, Sandro Sousa, Silvia Rognone, Vincenzo Nicosia:
Optimising the mitigation of epidemic spreading through targeted adoption of contact tracing apps. - Andrey A. Popov, Adrian Sandu:
Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders. - Furkan Sezer, Hossein Khazaei, Ceyhun Eksin:
Social Welfare Maximization and Conformism via Information Design in Linear-Quadratic-Gaussian Games. - Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya:
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. - Xiaoyun Li, Ping Li:
Quantization Algorithms for Random Fourier Features. - David Lafontaine, Euan A. Spence, Jared Wunsch:
Decompositions of high-frequency Helmholtz solutions via functional calculus, and application to the finite element method. - Andrei Caragea, Dae Gwan Lee, Johannes Maly, Götz E. Pfander, Felix Voigtländer:
Quantitative approximation results for complex-valued neural networks. - Sitan Chen, Jerry Li, Ryan O'Donnell:
Toward Instance-Optimal State Certification With Incoherent Measurements. - Philipp V. F. Edelmann, L. Horst, Jonas P. Berberich, R. Andrassy, J. Higl, Christian Klingenberg, Friedrich K. Röpke:
Well-balanced treatment of gravity in astrophysical fluid dynamics simulations at low Mach numbers. - Zhen Lin, Nicholas Huang, Camille Avestruz, W. L. Kimmy Wu, Shubhendu Trivedi, João Caldeira, Brian Nord:
DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning. - Marcelo V. Flamarion, Roberto Ribeiro-Jr:
Solitary water wave interactions for the Forced Korteweg-de Vries equation. - Bastian Prasse, Karel Devriendt, Piet Van Mieghem:
Clustering for epidemics on networks: a geometric approach. - Yves-Laurent Kom Samo:
Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach. - Tatyana Zaitseva, Yuri Malykhin, Konstantin Ryutin:
Recovery of regular ridge functions on the ball. - Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Learning with invariances in random features and kernel models. - Chenyang Yuan, Pablo A. Parrilo:
Semidefinite Relaxations of Products of Nonnegative Forms on the Sphere. - Yan Sun, Qifan Song, Faming Liang:
Consistent Sparse Deep Learning: Theory and Computation. - Chaobing Song, Jelena Diakonikolas:
Fast Cyclic Coordinate Dual Averaging with Extrapolation for Generalized Variational Inequalities. - Tiangang Cui, Olivier Zahm:
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems. - Liang Chen, Peng Jin, Jing Yang, Yang Li, Yi Song:
Robust Kalman filter-based dynamic state estimation of natural gas pipeline networks. - Jiajia Yu, Rongjie Lai, Wuchen Li, Stanley J. Osher:
A Fast Proximal Gradient Method and Convergence Analysis for Dynamic Mean Field Planning. - Joel A. Rosenfeld, Benjamin Russo, Xiuying Li:
Occupation Kernel Hilbert Spaces and the Spectral Analysis of Nonlocal Operators. - Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
Spectral Top-Down Recovery of Latent Tree Models. - Elise F. Palzer, Christine Wendt, Russell Bowler, Craig P. Hersh, Sandra E. Safo, Eric F. Lock:
sJIVE: Supervised Joint and Individual Variation Explained. - Faycal Znidi, Hamzeh Davarikia, Heena Rathore:
Power Systems Transient Stability Indices: Hierarchical Clustering Based Detection of Coherent Groups Of Generators. - Vladimir Vargas-Calderón, Nicolás Parra-A., Herbert Vinck-Posada, Fabio A. González:
Many-Qudit representation for the Travelling Salesman Problem Optimisation. - Andrea Galeotti, Benjamin Golub, Sanjeev Goyal, Rithvik Rao:
Discord and Harmony in Networks. - Clément Bénard, Sébastien Da Veiga, Erwan Scornet:
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA. - Dmitry A. Duev, Bryce T. Bolin, Matthew J. Graham, Michael S. P. Kelley, Ashish Mahabal, Eric C. Bellm, Michael W. Coughlin, Richard Dekany, George Helou, Shrinivas R. Kulkarni, Frank J. Masci, Thomas A. Prince, Reed Riddle, Maayane T. Soumagnac, Stefan Johann van der Walt:
Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning. - Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona:
Streaming computation of optimal weak transport barycenters. - ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling:
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. - Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng:
Why did the distribution change? - Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer:
Zoetrope Genetic Programming for Regression. - Abigail Lee-Leon, Chau Yuen, Dorien Herremans:
Underwater Acoustic Communication Receiver Using Deep Belief Network. - Lei Wang, Christopher M. Kellett:
Robust I&I Adaptive Tracking Control of Systems with Nonlinear Parameterization: An ISS Perspective. - Lei Wang, Lorenzo Marconi, Christopher M. Kellett:
Robust Implementable Regulator Design of General Linear Systems. - Roland Akiki, Roger Marí, Carlo de Franchis, Jean-Michel Morel, Gabriele Facciolo:
Robust Rational Polynomial Camera Modelling for SAR and Pushbroom Imaging. - Manuel Berkemeier, Sebastian Peitz:
Derivative-Free Multiobjective Trust Region Descent MethodUsing Radial Basis Function Surrogate Models. - Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Léon J. M. Rothkrantz, Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp:
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Abhishek Narain Singh:
The unmasking of Mitochondrial Adam and Structural Variants larger than point mutations as stronger candidates for traits, disease phenotype and sex determination. - Abhishek Narain Singh:
Feature set optimization by clustering, univariate association, Deep & Machine learning omics Wide Association Study (DMWAS) for Biomarkers discovery as tested on GTEx pilot dataset for death due to heart attack. - Wolfgang Ganglberger, Abigail A. Bucklin, Ryan A. Tesh, Madalena Da Silva Cardoso, Haoqi Sun, Michael J. Leone, Luis Paixao, Ezhil Panneerselvam, Elissa M. Ye, B. Taylor Thompson, Oluwaseun Akeju, David Kuller, Robert J. Thomas, M. Brandon Westover:
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation. - Brian M. de Silva, Krithika Manohar, Emily Clark, Bingni W. Brunton, Steven L. Brunton, J. Nathan Kutz:
PySensors: A Python Package for Sparse Sensor Placement. - Aurélien Alfonsi, Ahmed Kebaier:
Approximation of Stochastic Volterra Equations with kernels of completely monotone type. - Duolikun Danier, David Bull:
Texture-aware Video Frame Interpolation. - Shuai Yu, Jianyang Xie, Jinkui Hao, Yalin Zheng, Jiong Zhang, Yan Hu, Jiang Liu, Yitian Zhao:
3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation. - Andreia Sofia Teixeira, Francisco C. Santos, Alexandre P. Francisco, Fernando P. Santos:
Evolution of collective fairness in complex networks through degree-based role assignment. - Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola:
Sparse Approximations with Interior Point Methods. - Young-Pil Choi, Dante Kalise, Andrés A. Peters:
Collisionless and Decentralized Formation Control for Strings. - Haoxian Chen, Ziyi Huang, Henry Lam, Huajie Qian, Haofeng Zhang:
Learning Prediction Intervals for Regression: Generalization and Calibration. - Noe Angelo Caruso, Alessandro Michelangeli:
Krylov solvability under perturbations of abstract inverse linear problems. - Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums. - Davood Karimi, Serge Vasylechko, Ali Gholipour:
Convolution-Free Medical Image Segmentation using Transformers. - Alexander G. Reisach, Christof Seiler, Sebastian Weichwald:
Beware of the Simulated DAG! Varsortability in Additive Noise Models. - Taro Shibayama, Manabu Hagiwara:
Permutation-Invariant Quantum Codes for Deletion Errors. - Larissa Albantakis, Giulio Tononi:
What we are is more than what we do. - Nafiseh Ghoroghchian, Gautam Dasarathy, Stark C. Draper:
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model. - A. Murat Tekalp, Michele Covell, Radu Timofte, Chao Dong:
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. - Mohamad Amin Sharifi Kolarijani, G. F. Max, Peyman Mohajerin Esfahani:
Fast Approximate Dynamic Programming for Infinite-Horizon Continuous-State Markov Decision Processes. - Varun A. Kelkar, Mark A. Anastasio:
Prior Image-Constrained Reconstruction using Style-Based Generative Models. - Joaquim Dias Garcia, Alexandre Street, Tito Homem-de-Mello, Francisco D. Muñoz:
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting. - François Bachoc, Tommaso Renato Cesari, Sébastien Gerchinovitz:
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. - Eugene Kogan:
Shock wave in series connected Josephson transmission line: Theoretical foundations and effects of resistive elements. - Fardin Ghorbani, Hossein Soleimani:
Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach.
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