cond-mat.str-el - 强关联电子系统
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.AG - 代数几何 math.NT - 数论 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 q-fin.PM - 投资组合管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.str-el]Gauge equivariant neural networks for quantum lattice gauge theories
• [cs.AI]Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
• [cs.AI]Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
• [cs.AI]EvoCraft: A New Challenge for Open-Endedness
• [cs.AI]Hybrid Quantum Computing — Tabu Search Algorithm for Partitioning Problems: preliminary study on the Traveling Salesman Problem
• [cs.AI]Model-agnostic Fits for Understanding Information Seeking Patterns in Humans
• [cs.AI]The Counterfactual NESS Definition of Causation
• [cs.CL]Breeding Gender-aware Direct Speech Translation Systems
• [cs.CL]Complex Relation Extraction: Challenges and Opportunities
• [cs.CL]Edited Media Understanding: Reasoning About Implications of Manipulated Images
• [cs.CL]Fact-Enhanced Synthetic News Generation
• [cs.CL]From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
• [cs.CL]Fusing Context Into Knowledge Graph for Commonsense Reasoning
• [cs.CL]Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
• [cs.CL]Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction
• [cs.CL]Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols
• [cs.CL]Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
• [cs.CL]Joint Entity and Relation Canonicalization in Open Knowledge Graphs using Variational Autoencoders
• [cs.CL]Label Confusion Learning to Enhance Text Classification Models
• [cs.CL]Multidimensional scaling and linguistic theory
• [cs.CL]On Knowledge Distillation for Direct Speech Translation
• [cs.CL]On an Unknown Ancestor of Burrows’ Delta Measure
• [cs.CL]Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing
• [cs.CR]A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
• [cs.CR]On the Privacy and Integrity Risks of Contact-Tracing Applications
• [cs.CR]Risk Management Framework for Machine Learning Security
• [cs.CV]A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments
• [cs.CV]A Topological Filter for Learning with Label Noise
• [cs.CV]AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
• [cs.CV]Canonical Capsules: Unsupervised Capsules in Canonical Pose
• [cs.CV]Contrastive Transformation for Self-supervised Correspondence Learning
• [cs.CV]DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
• [cs.CV]Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
• [cs.CV]Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
• [cs.CV]Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
• [cs.CV]Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
• [cs.CV]E3D: Event-Based 3D Shape Reconstruction
• [cs.CV]Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
• [cs.CV]Generative Data Augmentation for Vehicle Detection in Aerial Images
• [cs.CV]Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
• [cs.CV]Hateful Memes Detection via Complementary Visual and Linguistic Networks
• [cs.CV]Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?
• [cs.CV]Improving the Fairness of Deep Generative Models without Retraining
• [cs.CV]JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads
• [cs.CV]Kernel Anomalous Change Detection for Remote Sensing Imagery
• [cs.CV]Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation
• [cs.CV]Locally optimal detection of stochastic targeted universal adversarial perturbations
• [cs.CV]Long Term Motion Prediction Using Keyposes
• [cs.CV]Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
• [cs.CV]Mitigating the Impact of Adversarial Attacks in Very Deep Networks
• [cs.CV]MorphNet: One-Shot Face Synthesis GAN for Detecting Recognition Bias
• [cs.CV]ODFNet: Using orientation distribution functions to characterize 3D point clouds
• [cs.CV]One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma
• [cs.CV]Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing
• [cs.CV]Positional Encoding as Spatial Inductive Bias in GANs
• [cs.CV]Progressive Network Grafting for Few-Shot Knowledge Distillation
• [cs.CV]Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
• [cs.CV]Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach
• [cs.CV]Rigid and Articulated Point Registration with Expectation Conditional Maximization
• [cs.CV]Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
• [cs.CV]Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
• [cs.CV]Scene Text Detection with Scribble Lines
• [cs.CV]Self-supervised Human Detection and Segmentation via Multi-view Consensus
• [cs.CV]Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
• [cs.CV]Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
• [cs.CV]SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
• [cs.CV]Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification
• [cs.CV]Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning
• [cs.CV]Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
• [cs.CV]Video Deblurring by Fitting to Test Data
• [cs.CV]You Only Need Adversarial Supervision for Semantic Image Synthesis
• [cs.CV]vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
• [cs.CY]A Critique of the Google Apple Exposure Notification (GAEN) Framework
• [cs.CY]A web-tool for calculating the economic performance of precision agriculture technology
• [cs.CY]Internet of Things-based innovations in Saudi healthcare sector: A methodological approach for investigating adoption issues
• [cs.CY]Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
• [cs.DC]Collaborative Coded Computation Offloading: An All-pay Auction Approach
• [cs.DC]Com-DDPG: A Multiagent Reinforcement Learning-based Offloading Strategy for Mobile Edge Computing
• [cs.DC]Efficient Complex Event Processing in Information-centric Networking at the Edge
• [cs.DC]On Distributed Algorithms for Minimum Dominating Set problem, from theory to application
• [cs.DM]A SAT-based Resolution of Lam’s Problem
• [cs.GT]Participatory Budgeting with Project Groups
• [cs.GT]Persuading Voters in District-based Election
• [cs.IR]A Real-Time Whole Page Personalization Framework for E-Commerce
• [cs.IR]GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation
• [cs.IR]Improving Knowledge Tracing via Pre-training Question Embeddings
• [cs.IR]Representation Extraction and Deep Neural Recommendation for Collaborative Filtering
• [cs.IT]Asynchronous Guessing Subject to Distortion
• [cs.IT]Complete weight enumerators of a class of linear codes with four or five weights
• [cs.IT]Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities
• [cs.IT]Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
• [cs.IT]Iterative Collision Resolution for Slotted ALOHA with NOMA for Heterogeneous Devices
• [cs.IT]Low-Complexity Soft-Output MIMO Detectors Based on Optimal Channel Puncturing
• [cs.IT]MDS Symbol-Pair Codes from Repeated-Root Cyclic Codes
• [cs.IT]Optimal distributed testing in high-dimensional Gaussian models
• [cs.IT]Optimization of RIS-aided MIMO Systems via the Cutoff Rate
• [cs.IT]Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels
• [cs.IT]Performance and Complexity of Sequential Decoding of PAC Codes
• [cs.IT]Robust Improvement of the Age of Information by Adaptive Packet Coding
• [cs.IT]Steady-State Rate-Optimal Power Adaptation in Energy Harvesting Opportunistic Cognitive Radios with Spectrum Sensing and Channel Estimation Errors
• [cs.IT]Structured Index Coding Problem and Multi-access Coded Caching
• [cs.LG]A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data
• [cs.LG]A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
• [cs.LG]A Statistical Test for Probabilistic Fairness
• [cs.LG]Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
• [cs.LG]Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
• [cs.LG]Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design
• [cs.LG]Binding and Perspective Taking as Inference in a Generative Neural Network Model
• [cs.LG]Convex Regularization Behind Neural Reconstruction
• [cs.LG]Cost-Based Budget Active Learning for Deep Learning
• [cs.LG]Data embedding and prediction by sparse tropical matrix factorization
• [cs.LG]Distributed Training of Graph Convolutional Networks using Subgraph Approximation
• [cs.LG]Driving Behavior Explanation with Multi-level Fusion
• [cs.LG]ESAD: End-to-end Deep Semi-supervised Anomaly Detection
• [cs.LG]EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
• [cs.LG]Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks
• [cs.LG]Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
• [cs.LG]Implicit Regularization in ReLU Networks with the Square Loss
• [cs.LG]Improving Gradient Flow with Unrolled Highway Expectation Maximization
• [cs.LG]Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data
• [cs.LG]LSTM recurrent neural network assisted aircraft stall prediction for enhanced situational awareness
• [cs.LG]Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors
• [cs.LG]NSL: Hybrid Interpretable Learning From Noisy Raw Data
• [cs.LG]Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
• [cs.LG]On 1/n neural representation and robustness
• [cs.LG]River: machine learning for streaming data in Python
• [cs.LG]Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
• [cs.LG]STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
• [cs.LG]Scalable Neural Tangent Kernel of Recurrent Architectures
• [cs.LG]Semi-Supervised Off Policy Reinforcement Learning
• [cs.LG]Skillearn: Machine Learning Inspired by Humans’ Learning Skills
• [cs.LG]Streaming Algorithms for Stochastic Multi-armed Bandits
• [cs.LG]Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
• [cs.NE]On the Binding Problem in Artificial Neural Networks
• [cs.NE]Promoting Semantics in Multi-objective Genetic Programming based on Decomposition
• [cs.NI]Operator as a Service: Stateful Serverless Complex Event Processing
• [cs.NI]SonicPACT: An Ultrasonic Ranging Method for the Private Automated Contact Tracing (PACT) Protocol
• [cs.RO]Development of Autonomous Quadcopter
• [cs.RO]Dynamical System Segmentation for Information Measures in Motion
• [cs.RO]Emergence of Different Modes of Tool Use in a Reaching and Dragging Task
• [cs.RO]GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection
• [cs.RO]Neural fidelity warping for efficient robot morphology design
• [cs.RO]Proactive Interaction Framework for Intelligent Social Receptionist Robots
• [cs.RO]ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction
• [cs.RO]Reconstruction of Backbone Curves for Snake Robots
• [cs.RO]Robotic Communications for 5G and Beyond: Challenges and Research Opportunities
• [cs.RO]SDSS-V Algorithms: Fast, Collision-Free Trajectory Planning for Heavily Overlapping Robotic Fiber Positioners
• [cs.RO]Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
• [cs.RO]Toward an Affective Touch Robot: Subjective and Physiological Evaluation of Gentle Stroke Motion Using a Human-Imitation Hand
• [cs.SD]DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis
• [cs.SD]Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview
• [cs.SD]SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
• [cs.SE]Fine-Grained Network Analysis for Modern Software Ecosystems
• [cs.SI]An improved spectral clustering method for mixed membership community detection
• [cs.SI]Biblical names’ relationships in the Gospel of Matthew, Mark, Luke, John and Acts of Apostles
• [cs.SI]Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks
• [cs.SI]Extracting the signed backbone of intrinsically dense weighted networks
• [cs.SI]Predicting seasonal influenza using supermarket retail records
• [cs.SI]Setting the Record Straighter on Shadow Banning
• [cs.SI]Social Explorative Attention based Recommendation for Content Distribution Platforms
• [eess.IV]2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
• [eess.IV]3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management
• [eess.IV]AIDE: Annotation-efficient deep learning for automatic medical image segmentation
• [eess.IV]Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer
• [eess.IV]Conditional Generation of Medical Images via Disentangled Adversarial Inference
• [eess.IV]Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
• [eess.SP]Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting
• [eess.SY]Bad-Data Sequence Detection for Power System State Estimation via ICA-GAN
• [math.AG]Hexapods with a small linear span
• [math.AG]Likelihood Equations and Scattering Amplitudes
• [math.NT]Machine-Learning Arithmetic Curves
• [math.OC]A multi-objective optimization framework for on-line ridesharing systems
• [math.PR]Central limit theorem for bifurcating Markov chains
• [math.ST]Consistently recovering the signal from noisy functional data
• [math.ST]Smoothed Quantile Regression with Large-Scale Inference
• [q-fin.PM]Modeling asset allocation strategies and a new portfolio performance score
• [quant-ph]Classical symmetries and QAOA
• [quant-ph]Emergent Quantumness in Neural Networks
• [stat.AP]Bayesian Analysis of Glucose Dynamics during the Oral Glucose Tolerance Test (OGTT)
• [stat.AP]Bayesian Inference for Polycrystalline Materials
• [stat.AP]Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
• [stat.AP]Estimating heterogeneous wildfire effects using synthetic controls andsatellite remote sensing
• [stat.AP]Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data
• [stat.ME]Bipartite Interference and Air Pollution Transport: Estimating Health Effects of Power Plant Interventions
• [stat.ME]Causal Inference in Geoscience and Remote Sensing from Observational Data
• [stat.ME]Consistent regression of biophysical parameters with kernel methods
• [stat.ME]Coupled Markov chain Monte Carlo for high-dimensional regression with Half-t priors
• [stat.ME]Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
• [stat.ME]Objective Bayesian approach to the Jeffreys-Lindley paradox
• [stat.ME]Principled selection of effect modifiers: Comments on ‘Matching-adjusted indirect comparisons: Application to time-to-event data’
• [stat.ME]Robust Sparse Bayesian Infinite Factor Models
• [stat.ME]Robustness of Model Predictions under Extension
• [stat.ML]Automatic Registration and Convex Clustering of Time Series
• [stat.ML]Conjugate Mixture Models for Clustering Multimodal Data
• [stat.ML]Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models
• [stat.ML]Generalization bounds for deep learning
• [stat.ML]Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering
• [stat.ML]Spectral clustering via adaptive layer aggregation for multi-layer networks
• [stat.ML]Variational Nonlinear System Identification
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• [cond-mat.str-el]Gauge equivariant neural networks for quantum lattice gauge theories
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
http://arxiv.org/abs/2012.05232v1
• [cs.AI]Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li
http://arxiv.org/abs/2012.04461v2
• [cs.AI]Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels
Yiming Xu, Diego Klabjan
http://arxiv.org/abs/2012.04759v1
• [cs.AI]EvoCraft: A New Challenge for Open-Endedness
Djordje Grbic, Rasmus Berg Palm, Elias Najarro, Claire Glanois, Sebastian Risi
http://arxiv.org/abs/2012.04751v1
• [cs.AI]Hybrid Quantum Computing — Tabu Search Algorithm for Partitioning Problems: preliminary study on the Traveling Salesman Problem
Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta
http://arxiv.org/abs/2012.04984v1
• [cs.AI]Model-agnostic Fits for Understanding Information Seeking Patterns in Humans
Soumya Chatterjee, Pradeep Shenoy
http://arxiv.org/abs/2012.04858v1
• [cs.AI]The Counterfactual NESS Definition of Causation
Sander Beckers
http://arxiv.org/abs/2012.05123v1
• [cs.CL]Breeding Gender-aware Direct Speech Translation Systems
Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2012.04955v1
• [cs.CL]Complex Relation Extraction: Challenges and Opportunities
Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao
http://arxiv.org/abs/2012.04821v1
• [cs.CL]Edited Media Understanding: Reasoning About Implications of Manipulated Images
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
http://arxiv.org/abs/2012.04726v1
• [cs.CL]Fact-Enhanced Synthetic News Generation
Kai Shu, Yichuan Li, Kaize Ding, Huan Liu
http://arxiv.org/abs/2012.04778v1
• [cs.CL]From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
Lingyong Yan, Xianpei Han, Le Sun, Fangchao Liu, Ning Bian
http://arxiv.org/abs/2012.04334v2
• [cs.CL]Fusing Context Into Knowledge Graph for Commonsense Reasoning
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
http://arxiv.org/abs/2012.04808v1
• [cs.CL]Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha
http://arxiv.org/abs/2012.04698v1
• [cs.CL]Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction
George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos
http://arxiv.org/abs/2012.04812v1
• [cs.CL]Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols
Rishi Hazra, Sonu Dixit, Sayambhu Sen
http://arxiv.org/abs/2012.05011v1
• [cs.CL]Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou
http://arxiv.org/abs/2012.04882v1
• [cs.CL]Joint Entity and Relation Canonicalization in Open Knowledge Graphs using Variational Autoencoders
Sarthak Dash, Gaetano Rossiello, Nandana Mihindukulasooriya, Sugato Bagchi, Alfio Gliozzo
http://arxiv.org/abs/2012.04780v1
• [cs.CL]Label Confusion Learning to Enhance Text Classification Models
Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu
http://arxiv.org/abs/2012.04987v1
• [cs.CL]Multidimensional scaling and linguistic theory
Martijn van der Klis, Jos Tellings
http://arxiv.org/abs/2012.04946v1
• [cs.CL]On Knowledge Distillation for Direct Speech Translation
Marco Gaido, Mattia A. Di Gangi, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2012.04964v1
• [cs.CL]On an Unknown Ancestor of Burrows’ Delta Measure
Petr Plechac
http://arxiv.org/abs/2012.04796v1
• [cs.CL]Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing
Run-Ze Wang, Zhen-Hua Ling, Jing-Bo Zhou, Yu Hu
http://arxiv.org/abs/2012.04995v1
• [cs.CR]A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin, Nour Moustafa, Murat Tahtali
http://arxiv.org/abs/2012.04734v1
• [cs.CR]On the Privacy and Integrity Risks of Contact-Tracing Applications
Jianwei Huang, Vinod Yegneswaran, Phillip Porras, Guofei Gu
http://arxiv.org/abs/2012.03283v2
• [cs.CR]Risk Management Framework for Machine Learning Security
Jakub Breier, Adrian Baldwin, Helen Balinsky, Yang Liu
http://arxiv.org/abs/2012.04884v1
• [cs.CV]A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments
Otto Brookes, Tilo Burghardt
http://arxiv.org/abs/2012.04689v1
• [cs.CV]A Topological Filter for Learning with Label Noise
Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris Metaxas, Chao Chen
http://arxiv.org/abs/2012.04835v1
• [cs.CV]AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong, Thi Ngoc Tho Nguyen, Sergi Widjaja, Dhananjai Sharma, Zhuang Jie Chong
http://arxiv.org/abs/2012.04934v1
• [cs.CV]Canonical Capsules: Unsupervised Capsules in Canonical Pose
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey Hinton, Kwang Moo Yi
http://arxiv.org/abs/2012.04718v1
• [cs.CV]Contrastive Transformation for Self-supervised Correspondence Learning
Ning Wang, Wengang Zhou, Houqiang Li
http://arxiv.org/abs/2012.05057v1
• [cs.CV]DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
Yuting Su, Weikang Wang, Jing Liu, Peiguang Jing, Xiaokang Yang
http://arxiv.org/abs/2012.04886v1
• [cs.CV]Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
http://arxiv.org/abs/2012.05116v1
• [cs.CV]Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
Zhibo Zhang, Chen Zeng, Maulikkumar Dhameliya, Souma Chowdhury, Rahul Rai
http://arxiv.org/abs/2012.04794v1
• [cs.CV]Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu
http://arxiv.org/abs/2012.04872v1
• [cs.CV]Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Fei Ye, Huangjie Zheng, Chaoqin Huang, Ya Zhang
http://arxiv.org/abs/2012.04837v1
• [cs.CV]E3D: Event-Based 3D Shape Reconstruction
Alexis Baudron, Winston Wang, Oliver Cossairt, Aggelos Katsaggelos
http://arxiv.org/abs/2012.05214v1
• [cs.CV]Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay, Prerana Mukherjee
http://arxiv.org/abs/2012.05027v1
• [cs.CV]Generative Data Augmentation for Vehicle Detection in Aerial Images
Hilmi Kumdakcı, Cihan Öngün, Alptekin Temizel
http://arxiv.org/abs/2012.04902v1
• [cs.CV]Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang
http://arxiv.org/abs/2012.05007v1
• [cs.CV]Hateful Memes Detection via Complementary Visual and Linguistic Networks
Weibo Zhang, Guihua Liu, Zhuohua Li, Fuqing Zhu
http://arxiv.org/abs/2012.04977v1
• [cs.CV]Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?
Denis Coquenet, Yann Soullard, Clément Chatelain, Thierry Paquet
http://arxiv.org/abs/2012.04954v1
• [cs.CV]Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan, Yujun Shen, Bolei Zhou
http://arxiv.org/abs/2012.04842v1
• [cs.CV]JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads
Karthick Shankar, Pengcheng Wang, Ran Xu, Ashraf Mahgoub, Somali Chaterji
http://arxiv.org/abs/2012.04880v1
• [cs.CV]Kernel Anomalous Change Detection for Remote Sensing Imagery
José A. Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
http://arxiv.org/abs/2012.04920v1
• [cs.CV]Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation
Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su
http://arxiv.org/abs/2012.04932v1
• [cs.CV]Locally optimal detection of stochastic targeted universal adversarial perturbations
Amish Goel, Pierre Moulin
http://arxiv.org/abs/2012.04692v1
• [cs.CV]Long Term Motion Prediction Using Keyposes
Sena Kiciroglu, Wei Wang, Mathieu Salzmann, Pascal Fua
http://arxiv.org/abs/2012.04731v1
• [cs.CV]Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio
http://arxiv.org/abs/2012.05013v1
• [cs.CV]Mitigating the Impact of Adversarial Attacks in Very Deep Networks
Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar
http://arxiv.org/abs/2012.04750v1
• [cs.CV]MorphNet: One-Shot Face Synthesis GAN for Detecting Recognition Bias
Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussein Abdelaziz, Nicholas Apostoloff
http://arxiv.org/abs/2012.05225v1
• [cs.CV]ODFNet: Using orientation distribution functions to characterize 3D point clouds
Yusuf H. Sahin, Alican Mertan, Gozde Unal
http://arxiv.org/abs/2012.04708v1
• [cs.CV]One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma
Rui Fan, Christopher Bowd, Nicole Brye, Mark Christopher, Robert N. Weinreb, David Kriegman, Linda Zangwill
http://arxiv.org/abs/2012.04841v1
• [cs.CV]Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing
Yaojie Liu, Xiaoming Liu
http://arxiv.org/abs/2012.05185v1
• [cs.CV]Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy
http://arxiv.org/abs/2012.05217v1
• [cs.CV]Progressive Network Grafting for Few-Shot Knowledge Distillation
Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song
http://arxiv.org/abs/2012.04915v1
• [cs.CV]Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
Denis Coquenet, Clément Chatelain, Thierry Paquet
http://arxiv.org/abs/2012.04961v1
• [cs.CV]Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach
Kumari Deepshikha, Anugunj Naman
http://arxiv.org/abs/2012.04937v1
• [cs.CV]Rigid and Articulated Point Registration with Expectation Conditional Maximization
Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang
http://arxiv.org/abs/2012.05191v1
• [cs.CV]Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao
http://arxiv.org/abs/2012.04927v1
• [cs.CV]Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas Funkhouser, Baoquan Chen, Leonidas Guibas
http://arxiv.org/abs/2012.04746v1
• [cs.CV]Scene Text Detection with Scribble Lines
Wenqing Zhang, Yang Qiu, Minghui Liao, Rui Zhang, Xiaolin Wei, Xiang Bai
http://arxiv.org/abs/2012.05030v1
• [cs.CV]Self-supervised Human Detection and Segmentation via Multi-view Consensus
Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
http://arxiv.org/abs/2012.05119v1
• [cs.CV]Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie
http://arxiv.org/abs/2012.04829v1
• [cs.CV]Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu
http://arxiv.org/abs/2012.05153v1
• [cs.CV]SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
Shaoli Huang, Xinchao Wang, Dacheng Tao
http://arxiv.org/abs/2012.04846v1
• [cs.CV]Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification
Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou
http://arxiv.org/abs/2012.05010v1
• [cs.CV]Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning
Aozhu Chen, Xinyi Huang, Hailan Lin, Xirong Li
http://arxiv.org/abs/2012.04925v1
• [cs.CV]Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
Inkyu Shin, Sanghyun Woo, Fei Pan, InSo Kweon
http://arxiv.org/abs/2012.04828v1
• [cs.CV]Video Deblurring by Fitting to Test Data
Xuanchi Ren, Zian Qian, Qifeng Chen
http://arxiv.org/abs/2012.05228v1
• [cs.CV]You Only Need Adversarial Supervision for Semantic Image Synthesis
Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva
http://arxiv.org/abs/2012.04781v1
• [cs.CV]vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
Zhijian Qiao, Hanjiang Hu, Siyuan Chen, Zhe Liu, Zhuowen Shen, Hesheng Wang
http://arxiv.org/abs/2012.05018v1
• [cs.CY]A Critique of the Google Apple Exposure Notification (GAEN) Framework
Jaap-Henk Hoepman
http://arxiv.org/abs/2012.05097v1
• [cs.CY]A web-tool for calculating the economic performance of precision agriculture technology
Marco Medici, Søren Marcus Pedersen, Maurizio Canavari, Thomas Anken, Panagiotis Stamatelopoulos, Zisis Tsiropoulos, Alex Zotos, Ghasem Tohidloo
http://arxiv.org/abs/2012.05017v1
• [cs.CY]Internet of Things-based innovations in Saudi healthcare sector: A methodological approach for investigating adoption issues
F H Masmali, S J Miah, NY Mathkoor
http://arxiv.org/abs/2012.04970v1
• [cs.CY]Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
Lucas Baier, Niklas Kühl, Jakob Schöffer, Gerhard Satzger
http://arxiv.org/abs/2012.03728v1
• [cs.DC]Collaborative Coded Computation Offloading: An All-pay Auction Approach
Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Dusit Niyato, Mohsen Guizani, Cyril Leung
http://arxiv.org/abs/2012.04854v1
• [cs.DC]Com-DDPG: A Multiagent Reinforcement Learning-based Offloading Strategy for Mobile Edge Computing
Honghao Gao, Xuejie Wang, Xiaojin Ma, Wei Wei, Shahid Mumtaz
http://arxiv.org/abs/2012.05105v1
• [cs.DC]Efficient Complex Event Processing in Information-centric Networking at the Edge
Manisha Luthra, Johannes Pfannmüller, Boris Koldehofe, Jonas Höchst, Artur Sterz, Rhaban Hark, Bernd Freisleben
http://arxiv.org/abs/2012.05070v1
• [cs.DC]On Distributed Algorithms for Minimum Dominating Set problem, from theory to application
Sharareh Alipour, Ehsan Futuhi, Shayan Karimi
http://arxiv.org/abs/2012.04883v1
• [cs.DM]A SAT-based Resolution of Lam’s Problem
Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh
http://arxiv.org/abs/2012.04715v1
• [cs.GT]Participatory Budgeting with Project Groups
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi
http://arxiv.org/abs/2012.05213v1
• [cs.GT]Persuading Voters in District-based Election
Matteo Castiglioni, Nicola Gatti
http://arxiv.org/abs/2012.05002v1
• [cs.IR]A Real-Time Whole Page Personalization Framework for E-Commerce
Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan
http://arxiv.org/abs/2012.04681v1
• [cs.IR]GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation
Yuexin Wu, Tianyu Gao, Hongtao Liu
http://arxiv.org/abs/2012.05009v1
• [cs.IR]Improving Knowledge Tracing via Pre-training Question Embeddings
Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu
http://arxiv.org/abs/2012.05031v1
• [cs.IR]Representation Extraction and Deep Neural Recommendation for Collaborative Filtering
Arash Khoeini, Saman Haratizadeh, Ehsan Hoseinzade
http://arxiv.org/abs/2012.04979v1
• [cs.IT]Asynchronous Guessing Subject to Distortion
Shigeaki Kuzuoka
http://arxiv.org/abs/2012.04901v1
• [cs.IT]Complete weight enumerators of a class of linear codes with four or five weights
Xina Zhang
http://arxiv.org/abs/2012.04904v1
• [cs.IT]Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities
Milan Studeny
http://arxiv.org/abs/2012.04092v2
• [cs.IT]Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
Qun Wang, Fuhui Zhou, Rose Qingyang Hu, Yi Qian
http://arxiv.org/abs/2012.04843v1
• [cs.IT]Iterative Collision Resolution for Slotted ALOHA with NOMA for Heterogeneous Devices
Yu-Chih Huang, Shin-Lin Shieh, Yu-Pin Hsu, Hao-Ping Cheng
http://arxiv.org/abs/2012.05159v1
• [cs.IT]Low-Complexity Soft-Output MIMO Detectors Based on Optimal Channel Puncturing
Mohammad M. Mansour
http://arxiv.org/abs/2012.05086v1
• [cs.IT]MDS Symbol-Pair Codes from Repeated-Root Cyclic Codes
Junru Ma, Jinquan Luo
http://arxiv.org/abs/2012.05050v1
• [cs.IT]Optimal distributed testing in high-dimensional Gaussian models
Botond Szabo, Lasse Vuursteen, Harry van Zanten
http://arxiv.org/abs/2012.04957v1
• [cs.IT]Optimization of RIS-aided MIMO Systems via the Cutoff Rate
Nemanja Stefan Perović, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan
http://arxiv.org/abs/2012.05131v1
• [cs.IT]Performance Analysis of Age of Information in Ultra-Dense Internet of Things (IoT) Systems with Noisy Channels
Bo Zhou, Walid Saad
http://arxiv.org/abs/2012.05109v1
• [cs.IT]Performance and Complexity of Sequential Decoding of PAC Codes
Mohsen Moradi, Amir Mozammel, Kangjian Qin, Erdal Arikan
http://arxiv.org/abs/2012.04990v1
• [cs.IT]Robust Improvement of the Age of Information by Adaptive Packet Coding
Maice Costa, Yalin Sagduyu, Tugba Erpek, Muriel Médard
http://arxiv.org/abs/2012.05172v1
• [cs.IT]Steady-State Rate-Optimal Power Adaptation in Energy Harvesting Opportunistic Cognitive Radios with Spectrum Sensing and Channel Estimation Errors
Hassan Yazdani, Azadeh Vosoughi
http://arxiv.org/abs/2012.04826v1
• [cs.IT]Structured Index Coding Problem and Multi-access Coded Caching
Kota Srinivas Reddy, Nikhil Karamchandani
http://arxiv.org/abs/2012.04705v1
• [cs.LG]A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data
Chenfeng Xiong, Aref Darzi, Yixuan Pan, Sepehr Ghader, Lei Zhang
http://arxiv.org/abs/2012.04776v1
• [cs.LG]A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
Minhui Huang, Shiqian Ma, Lifeng Lai
http://arxiv.org/abs/2012.05199v1
• [cs.LG]A Statistical Test for Probabilistic Fairness
Bahar Taskesen, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen
http://arxiv.org/abs/2012.04800v1
• [cs.LG]Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-woo Lee, Jaehoon Oh, Yooju Shin, Jae-Gil Lee, Se-Young Yoon
http://arxiv.org/abs/2012.04857v1
• [cs.LG]Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
Yadong Zhang, Xin Chen
http://arxiv.org/abs/2012.04936v1
• [cs.LG]Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design
Opeoluwa Owoyele, Pinaki Pal
http://arxiv.org/abs/2012.04649v1
• [cs.LG]Binding and Perspective Taking as Inference in a Generative Neural Network Model
Mahdi Sadeghi, Fabian Schrodt, Sebastian Otte, Martin V. Butz
http://arxiv.org/abs/2012.05152v1
• [cs.LG]Convex Regularization Behind Neural Reconstruction
Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John Pauly
http://arxiv.org/abs/2012.05169v1
• [cs.LG]Cost-Based Budget Active Learning for Deep Learning
Patrick K. Gikunda, Nicolas Jouandeau
http://arxiv.org/abs/2012.05196v1
• [cs.LG]Data embedding and prediction by sparse tropical matrix factorization
Amra Omanović, Hilal Kazan, Polona Oblak, Tomaž Curk
http://arxiv.org/abs/2012.05210v1
• [cs.LG]Distributed Training of Graph Convolutional Networks using Subgraph Approximation
Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram
http://arxiv.org/abs/2012.04930v1
• [cs.LG]Driving Behavior Explanation with Multi-level Fusion
Hédi Ben-Younes, Éloi Zablocki, Patrick Pérez, Matthieu Cord
http://arxiv.org/abs/2012.04983v1
• [cs.LG]ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang, Fei Ye, Ya Zhang, Yan-Feng Wang, Qi Tian
http://arxiv.org/abs/2012.04905v1
• [cs.LG]EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang
http://arxiv.org/abs/2012.04864v1
• [cs.LG]Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks
Mohammad Salehi, Ekram Hossain
http://arxiv.org/abs/2012.05137v1
• [cs.LG]Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia
http://arxiv.org/abs/2012.04735v1
• [cs.LG]Implicit Regularization in ReLU Networks with the Square Loss
Ohad Shamir, Gal Vardi
http://arxiv.org/abs/2012.05156v1
• [cs.LG]Improving Gradient Flow with Unrolled Highway Expectation Maximization
Chonghyuk Song, Eunseok Kim, Inwook Shim
http://arxiv.org/abs/2012.04926v1
• [cs.LG]Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data
Anastasios Tsourtis, Yannis Pantazis, Ioannis Tsamardinos
http://arxiv.org/abs/2012.05055v1
• [cs.LG]LSTM recurrent neural network assisted aircraft stall prediction for enhanced situational awareness
Tahsin Sejat Saniat, Tahiat Goni, Shaikat M. Galib
http://arxiv.org/abs/2012.04876v1
• [cs.LG]Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors
Clement Moreau, Thomas Devogele, Veronika Peralta, Laurent Etienne, Cyril de Runz
http://arxiv.org/abs/2012.04767v1
• [cs.LG]NSL: Hybrid Interpretable Learning From Noisy Raw Data
Daniel Cunnington, Alessandra Russo, Mark Law, Jorge Lobo, Lance Kaplan
http://arxiv.org/abs/2012.05023v1
• [cs.LG]Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
Daniel Kunin, Javier Sagastuy-Brena, Surya Ganguli, Daniel L. K. Yamins, Hidenori Tanaka
http://arxiv.org/abs/2012.04728v1
• [cs.LG]On 1/n neural representation and robustness
Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung, Kenneth D. Harris, Il Memming Park
http://arxiv.org/abs/2012.04729v1
• [cs.LG]River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphael Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
http://arxiv.org/abs/2012.04740v1
• [cs.LG]Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
Chenyang Zhao, Timothy Hospedales
http://arxiv.org/abs/2012.04839v1
• [cs.LG]STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
http://arxiv.org/abs/2012.04747v1
• [cs.LG]Scalable Neural Tangent Kernel of Recurrent Architectures
Sina Alemohammad, Randall Balestriero, Zichao Wang, Richard Baraniuk
http://arxiv.org/abs/2012.04859v1
• [cs.LG]Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend-W, Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai
http://arxiv.org/abs/2012.04809v1
• [cs.LG]Skillearn: Machine Learning Inspired by Humans’ Learning Skills
Pengtao Xie, Xuefeng Du, Hao Ban
http://arxiv.org/abs/2012.04863v1
• [cs.LG]Streaming Algorithms for Stochastic Multi-armed Bandits
Arnab Maiti, Vishakha Patil, Arindam Khan
http://arxiv.org/abs/2012.05142v1
• [cs.LG]Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
Tijs Maas, Peter Bloem
http://arxiv.org/abs/2012.05207v1
• [cs.NE]On the Binding Problem in Artificial Neural Networks
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
http://arxiv.org/abs/2012.05208v1
• [cs.NE]Promoting Semantics in Multi-objective Genetic Programming based on Decomposition
Edgar Galván, Fergal Stapleton
http://arxiv.org/abs/2012.04717v1
• [cs.NI]Operator as a Service: Stateful Serverless Complex Event Processing
Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe
http://arxiv.org/abs/2012.04982v1
• [cs.NI]SonicPACT: An Ultrasonic Ranging Method for the Private Automated Contact Tracing (PACT) Protocol
John Meklenburg, Michael Specter, Michael Wentz, Hari Balakrishnan, Anantha Chandrakasan, John Cohn, Gary Hatke, Louise Ivers, Ronald Rivest, Gerald Jay Sussman, Daniel Weitzner
http://arxiv.org/abs/2012.04770v1
• [cs.RO]Development of Autonomous Quadcopter
Mohammad Al-Fetyani, Mones Azazma
http://arxiv.org/abs/2012.05042v1
• [cs.RO]Dynamical System Segmentation for Information Measures in Motion
Thomas A. Berrueta, Ana Pervan, Kathleen Fitzsimons, Todd D. Murphey
http://arxiv.org/abs/2012.05183v1
• [cs.RO]Emergence of Different Modes of Tool Use in a Reaching and Dragging Task
Khuong Nguyen, Yoonsuck Choe
http://arxiv.org/abs/2012.04700v1
• [cs.RO]GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection
Kevin Yu, Harnaik Dhami, Kartik Madhira, Pratap Tokekar
http://arxiv.org/abs/2012.04803v1
• [cs.RO]Neural fidelity warping for efficient robot morphology design
Sha Hu, Zeshi Yang, Greg Mori
http://arxiv.org/abs/2012.04195v2
• [cs.RO]Proactive Interaction Framework for Intelligent Social Receptionist Robots
Yang Xue, Fan Wang, Hao Tian, Min Zhao, Jiangyong Li, Haiqing Pan, Yueqiang Dong
http://arxiv.org/abs/2012.04832v1
• [cs.RO]ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction
Xiaoyu Mo, Yang Xing, Chen Lv
http://arxiv.org/abs/2012.05032v1
• [cs.RO]Reconstruction of Backbone Curves for Snake Robots
Tianyu Wang, Bo Lin, Baxi Chong, Julian Whitman, Matthew Travers, Daniel I. Goldman, Greg Blekherman, Howie Choset
http://arxiv.org/abs/2012.04855v1
• [cs.RO]Robotic Communications for 5G and Beyond: Challenges and Research Opportunities
Yuanwei Liu, Xiao Liu, Xinyu Gao, Xidong Mu, Xiangwei Zhou, Octavia A. Dobre, H. Vincent Poor
http://arxiv.org/abs/2012.05093v1
• [cs.RO]SDSS-V Algorithms: Fast, Collision-Free Trajectory Planning for Heavily Overlapping Robotic Fiber Positioners
Conor Sayres, José R. Sánchez-Gallego, Michael R. Blanton, Ricardo Araujo, Mohamed Bouri, Loïc Grossen, Jean-Paul Kneib, Juna A. Kollmeier, Luzius Kronig, Richard W. Pogge, Sarah Tuttle
http://arxiv.org/abs/2012.04721v1
• [cs.RO]Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
Maria Bauza, Eric Valls, Bryan Lim, Theo Sechopoulos, Alberto Rodriguez
http://arxiv.org/abs/2012.05205v1
• [cs.RO]Toward an Affective Touch Robot: Subjective and Physiological Evaluation of Gentle Stroke Motion Using a Human-Imitation Hand
Tomoki Ishikura, Akishige Yuguchi, Yuki Kitamura, Sung-Gwi Cho, Ming Ding, Jun Takamatsu, Wataru Sato, Sakiko Yoshikawa, Tsukasa Ogasawara
http://arxiv.org/abs/2012.04844v1
• [cs.SD]DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis
Anurag Chowdhury, Arun Ross, Prabu David
http://arxiv.org/abs/2012.05084v1
• [cs.SD]Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview
Kun Qian, Bjorn W. Schuller, Yoshiharu Yamamoto
http://arxiv.org/abs/2012.04650v1
• [cs.SD]SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin
http://arxiv.org/abs/2012.05168v1
• [cs.SE]Fine-Grained Network Analysis for Modern Software Ecosystems
Paolo Boldi, Georgios Gousios
http://arxiv.org/abs/2012.04760v1
• [cs.SI]An improved spectral clustering method for mixed membership community detection
Huan Qing, Jingli Wang
http://arxiv.org/abs/2012.04867v1
• [cs.SI]Biblical names’ relationships in the Gospel of Matthew, Mark, Luke, John and Acts of Apostles
Roberto Rondinelli, Stefano Marmani, Valerio Ficcadenti
http://arxiv.org/abs/2012.04753v1
• [cs.SI]Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks
Giulio Rossetti, Salvatore Citraro, Letizia Milli
http://arxiv.org/abs/2012.05195v1
• [cs.SI]Extracting the signed backbone of intrinsically dense weighted networks
Furkan Gursoy, Bertan Badur
http://arxiv.org/abs/2012.05216v1
• [cs.SI]Predicting seasonal influenza using supermarket retail records
Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani
http://arxiv.org/abs/2012.04651v1
• [cs.SI]Setting the Record Straighter on Shadow Banning
Erwan Le Merrer, Benoit Morgan, Gilles Trédan
http://arxiv.org/abs/2012.05101v1
• [cs.SI]Social Explorative Attention based Recommendation for Content Distribution Platforms
Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
http://arxiv.org/abs/2012.04945v1
• [eess.IV]2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
Haoyu Wei, Florian Schiffers, Tobias Würfl, Daming Shen, Daniel Kim, Aggelos K. Katsaggelos, Oliver Cossairt
http://arxiv.org/abs/2012.04743v1
• [eess.IV]3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management
Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang
http://arxiv.org/abs/2012.04701v1
• [eess.IV]AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang
http://arxiv.org/abs/2012.04885v1
• [eess.IV]Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer
Caner Mercan, Maschenka Balkenhol, Roberto Salgado, Mark Sherman, Philippe Vielh, Willem Vreuls, Antonio Polonia, Hugo M. Horlings, Wilko Weichert, Jodi M. Carter, Peter Bult, Matthias Christgen, Carsten Denkert, Koen van de Vijver, Jeroen van der Laak, Francesco Ciompi
http://arxiv.org/abs/2012.04974v1
• [eess.IV]Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
http://arxiv.org/abs/2012.04764v1
• [eess.IV]Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Xiaoqing Zhang, JianSheng Fang, Yan Hu, Yanwu Xu, Risa Higashita, Jiang Liu
http://arxiv.org/abs/2012.04830v1
• [eess.SP]Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting
Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Charantonis, Arthur Filoche
http://arxiv.org/abs/2012.05015v1
• [eess.SY]Bad-Data Sequence Detection for Power System State Estimation via ICA-GAN
Kursat Rasim Mestav, Lang Tong
http://arxiv.org/abs/2012.05163v1
• [math.AG]Hexapods with a small linear span
Hans-Christian Graf von Bothmer, Matteo Gallet, Josef Schicho
http://arxiv.org/abs/2012.05120v1
• [math.AG]Likelihood Equations and Scattering Amplitudes
Bernd Sturmfels, Simon Telen
http://arxiv.org/abs/2012.05041v1
• [math.NT]Machine-Learning Arithmetic Curves
Yang-Hui He, Kyu-Hwan Lee, Thomas Oliver
http://arxiv.org/abs/2012.04084v1
• [math.OC]A multi-objective optimization framework for on-line ridesharing systems
Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang
http://arxiv.org/abs/2012.05046v1
• [math.PR]Central limit theorem for bifurcating Markov chains
S. Valère Bitseki Penda, Jean-François Delmas
http://arxiv.org/abs/2012.04741v1
• [math.ST]Consistently recovering the signal from noisy functional data
Siegfried Hörmann, Fatima Jammoul
http://arxiv.org/abs/2012.05051v1
• [math.ST]Smoothed Quantile Regression with Large-Scale Inference
Xuming He, Xiaoou Pan, Kean Ming Tan, Wen-Xin Zhou
http://arxiv.org/abs/2012.05187v1
• [q-fin.PM]Modeling asset allocation strategies and a new portfolio performance score
Apostolos Chalkis, Ioannis Z. Emiris
http://arxiv.org/abs/2012.05088v1
• [quant-ph]Classical symmetries and QAOA
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg, Ilya Safro
http://arxiv.org/abs/2012.04713v1
• [quant-ph]Emergent Quantumness in Neural Networks
Mikhail I. Katsnelson, Vitaly Vanchurin
http://arxiv.org/abs/2012.05082v1
• [stat.AP]Bayesian Analysis of Glucose Dynamics during the Oral Glucose Tolerance Test (OGTT)
Hugo Flores-Arguedas, Marcos A. Capistrán
http://arxiv.org/abs/2012.05108v1
• [stat.AP]Bayesian Inference for Polycrystalline Materials
James Matuk, Oksana Chkrebtii, Stephen Niezgoda
http://arxiv.org/abs/2012.04765v1
• [stat.AP]Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
Esteban Fernández Morales, Cong Zhang, Guanghua Xiao, Chul Moon, Qiwei Li
http://arxiv.org/abs/2012.04878v1
• [stat.AP]Estimating heterogeneous wildfire effects using synthetic controls andsatellite remote sensing
Feliu Serra-Burriel, Pedro Delicado, Andrew T. Prata, Fernando Cucchietti
http://arxiv.org/abs/2012.05140v1
• [stat.AP]Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data
Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton
http://arxiv.org/abs/2012.04825v1
• [stat.ME]Bipartite Interference and Air Pollution Transport: Estimating Health Effects of Power Plant Interventions
Corwin Zigler, Laura Forastiere, Fabrizia Mealli
http://arxiv.org/abs/2012.04831v1
• [stat.ME]Causal Inference in Geoscience and Remote Sensing from Observational Data
Adrián Pérez-Suay, Gustau Camps-Valls
http://arxiv.org/abs/2012.05150v1
• [stat.ME]Consistent regression of biophysical parameters with kernel methods
Emiliano Díaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls
http://arxiv.org/abs/2012.04922v1
• [stat.ME]Coupled Markov chain Monte Carlo for high-dimensional regression with Half-t priors
Niloy Biswas, Anirban Bhattacharya, Pierre E. Jacob, James E. Johndrow
http://arxiv.org/abs/2012.04798v1
• [stat.ME]Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
Yanxin Jin, Yang Ning, Kean Ming Tan
http://arxiv.org/abs/2012.05158v1
• [stat.ME]Objective Bayesian approach to the Jeffreys-Lindley paradox
Andrew Fowlie
http://arxiv.org/abs/2012.04879v1
• [stat.ME]Principled selection of effect modifiers: Comments on ‘Matching-adjusted indirect comparisons: Application to time-to-event data’
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
http://arxiv.org/abs/2012.05127v1
• [stat.ME]Robust Sparse Bayesian Infinite Factor Models
Jaejoon Lee, Jaeyong Lee
http://arxiv.org/abs/2012.04315v2
• [stat.ME]Robustness of Model Predictions under Extension
Tineke Blom, Joris M. Mooij
http://arxiv.org/abs/2012.04723v1
• [stat.ML]Automatic Registration and Convex Clustering of Time Series
Michael Weylandt, George Michailidis
http://arxiv.org/abs/2012.04756v1
• [stat.ML]Conjugate Mixture Models for Clustering Multimodal Data
Vasil Khalidov, Florence Forbes, Radu Horaud
http://arxiv.org/abs/2012.04951v1
• [stat.ML]Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
http://arxiv.org/abs/2012.04947v1
• [stat.ML]Generalization bounds for deep learning
Guillermo Valle-Pérez, Ard A. Louis
http://arxiv.org/abs/2012.04115v2
• [stat.ML]Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering
Michael Weylandt, T. Mitchell Roddenberry, Genevera I. Allen
http://arxiv.org/abs/2012.04762v1
• [stat.ML]Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang, Haolei Weng, Yang Feng
http://arxiv.org/abs/2012.04646v1
• [stat.ML]Variational Nonlinear System Identification
Jarrad Courts, Adrian Wills, Thomas Schön, Brett Ninness
http://arxiv.org/abs/2012.05072v1
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