cs.LG - 自动学习
cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.TH - 理论经济学 eess.IV - 图像与视频处理 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 gr-qc - 广义相对论与量子宇宙学 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 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
• [cs.
9e7
LG]CLOPS: Continual Learning of Physiological Signals
• [cs.AI]COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning
• [cs.AI]Characterizing Boundedness in Chase Variants
• [cs.AI]Imperatives for Virtual Humans
• [cs.AI]Knowledge Graph Embedding with Linear Representation for Link Prediction
• [cs.AI]Knowledge Refactoring for Program Induction
• [cs.AI]Learning large logic programs by going beyond entailment
• [cs.AI]Reasoning about Typicality and Probabilities in Preferential Description Logics
• [cs.AI]pomdp_py: A Framework to Build and Solve POMDP Problems
• [cs.CE]Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests
• [cs.CL]Adaptive Interaction Fusion Networks for Fake News Detection
• [cs.CL]An Automated Pipeline for Character and Relationship Extraction from Readers’ Literary Book Reviews on Goodreads.com
• [cs.CL]Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms
• [cs.CL]BERT-ATTACK: Adversarial Attack Against BERT Using BERT
• [cs.CL]Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling
• [cs.CL]Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
• [cs.CL]Curriculum Pre-training for End-to-End Speech Translation
• [cs.CL]DIET: Lightweight Language Understanding for Dialogue Systems
• [cs.CL]Experience Grounds Language
• [cs.CL]Grounding Conversations with Improvised Dialogues
• [cs.CL]Keyphrase Generation with Cross-Document Attention
• [cs.CL]Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
• [cs.CL]Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions
• [cs.CL]Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
• [cs.CL]Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction
• [cs.CL]Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
• [cs.CL]Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
• [cs.CL]Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
• [cs.CL]Neural Abstractive Summarization with Structural Attention
• [cs.CL]Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
• [cs.CL]TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling
• [cs.CL]The Panacea Threat Intelligence and Active Defense Platform
• [cs.CL]Train No Evil: Selective Masking for Task-guided Pre-training
• [cs.CL]Unsupervised Opinion Summarization with Noising and Denoising
• [cs.CL]Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
• [cs.CR]Data Poisoning Attacks on Federated Machine Learning
• [cs.CR]MgX: Near-Zero Overhead Memory Protection with an Application to Secure DNN Acceleration
• [cs.CV]A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images
• [cs.CV]AANet: Adaptive Aggregation Network for Efficient Stereo Matching
• [cs.CV]AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
• [cs.CV]Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
• [cs.CV]Disaster Feature Classification on Aerial Photography to Explain Typhoon Damaged Region using Grad-CAM
• [cs.CV]Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
• [cs.CV]Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation
• [cs.CV]Fine-Grained Expression Manipulation via Structured Latent Space
• [cs.CV]Frequency-Weighted Robust Tensor Principal Component Analysis
• [cs.CV]Have you forgotten? A method to assess if machine learning models have forgotten data
• [cs.CV]Image Retrieval using Multi-scale CNN Features Pooling
• [cs.CV]Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
• [cs.CV]Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping
• [cs.CV]LRCN-RetailNet: A recurrent neural network architecture for accurate people counting
• [cs.CV]LSQ+: Improving low-bit quantization through learnable offsets and better initialization
• [cs.CV]MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
• [cs.CV]NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network
• [cs.CV]PAI-GCN: Permutable Anisotropic Graph Convolutional Networks for 3D Shape Representation Learning
• [cs.CV]Rice grain disease identification using dual phase convolutional neural network-based system aimed at small dataset
• [cs.CV]Robust Motion Averaging under MaximumCorrentropy Criterion
• [cs.CV]Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition
• [cs.CV]TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
• [cs.CV]TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning
• [cs.CV]TTNet: Real-time temporal and spatial video analysis of table tennis
• [cs.CV]Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories
• [cs.CV]The 1st Agriculture-Vision Challenge: Methods and Results
• [cs.CV]Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
• [cs.CV]Towards Generalization of 3D Human Pose Estimation In The Wild
• [cs.CV]TrueBranch: Metric Learning-based Verification of Forest Conservation Projects
• [cs.CV]Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
• [cs.CV]Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
• [cs.CV]Weakly Aligned Joint Cross-Modality Super Resolution
• [cs.CY]Games for Fairness and Interpretability
• [cs.CY]Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy
• [cs.CY]Influence of COVID-19 confinement in students performance in higher education
• [cs.CY]Why do People Share Misinformation during the COVID-19 Pandemic?
• [cs.DC]A Generalization of the Allreduce Operation
• [cs.DC]A Survey and Annotated Bibliography of Workflow Scheduling in Computing Infrastructures: Community, Keyword, and Article Reviews — Extended Technical Report
• [cs.DC]Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination
• [cs.DC]On the Relevance of Wait-free Coordination Algorithms in Shared-Memory HPC:The Global Virtual Time Case
• [cs.DC]Proposal of Automatic Offloading for Function Blocks of Applications
• [cs.DC]torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models
• [cs.HC]Mirror Ritual: An Affective Interface for Emotional Self-Reflection
• [cs.HC]On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019
• [cs.IR]Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
• [cs.IR]Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance
• [cs.IR]Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
• [cs.IT]A Graph Joining Greedy Approach to Binary de Bruijn Sequences
• [cs.IT]Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors
• [cs.IT]An Information-Theoretic Proof of the Streaming Switching Lemma for Symmetric Encryption
• [cs.IT]Channel Estimation and Power Scaling Law of Large Reflecting Surface with Non-Ideal Hardware
• [cs.IT]Energy Efficiency Analysis of Intelligent Reflecting Surface System with Hardware Impairments
• [cs.IT]Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles
• [cs.IT]Load on the Typical Poisson Voronoi Cell with Clustered User Distribution
• [cs.IT]Mobility-Assisted Covert Communication over Wireless Ad Hoc Networks
• [cs.IT]Modulated Sparse Superposition Codes for the Complex AWGN Channel
• [cs.IT]Optimization of Chaos-based Coded Modulations for Compensation of Amplifier Nonlinearities
• [cs.IT]Robust Interference Management for SISO Systems with Multiple Over-the-Air Computations
• [cs.IT]Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform
• [cs.IT]Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments
• [cs.IT]Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of $G_N$-Coset Codes
• [cs.IT]Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of $G_N$-Coset Codes
• [cs.LG]A Benchmark Study on Time Series Clustering
• [cs.LG]A Data and Compute Efficient Design for Limited-Resources Deep Learning
• [cs.LG]A Mathematical Programming approach to Binary Supervised Classification with Label Noise
• [cs.LG]A novel embedded min-max approach for feature selection in nonlinear SVM classification
• [cs.LG]ALPS: Active Learning via Perturbations
• [cs.LG]AdaX: Adaptive Gradient Descent with Exponential Long Term Memory
• [cs.LG]Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition
• [cs.LG]An RNN-Survival Model to Decide Email Send Times
• [cs.LG]Approximate exploitability: Learning a best response in large games
• [cs.LG]Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions
• [cs.LG]Bayesian Nonparametric Weight Factorization for Continual Learning
• [cs.LG]Critical Overview of Privacy-Preserving Learning in Vector Autoregressive Models for Energy Forecasting
• [cs.LG]Discrete Variational Attention Models for Language Generation
• [cs.LG]EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
• [cs.LG]Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation
• [cs.LG]Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance
• [cs.LG]Forecasting directional movements of stock prices for intraday trading using LSTM and random forests
• [cs.LG]Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing
• [cs.LG]Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
• [cs.LG]Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
• [cs.LG]LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition
• [cs.LG]Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects
• [cs.LG]Learning Entangled Single-Sample Distributions via Iterative Trimming
• [cs.LG]Local Clustering with Mean Teacher for Semi-supervised Learning
• [cs.LG]On the Compressive Power of Boolean Threshold Autoencoders
• [cs.LG]Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
• [cs.LG]Reinforcement Learning to Optimize the Logistics Distribution Routes of Unmanned Aerial Vehicle
• [cs.LG]Revisiting Initialization of Neural Networks
• [cs.LG]SIBRE: Self Improvement Based REwards for Reinforcement Learning
• [cs.LG]Synthetic Augmentation pix2pix using Tri-category Label with Edge structure for Accurate Segmentation architectures
• [cs.LG]Tensor Networks for Medical Image Classification
• [cs.LG]Tightening Exploration in Upper Confidence Reinforcement Learning
• [cs.LG]Towards deep neural network compression via learnable wavelet transforms
• [cs.LG]Two-Level Lattice Neural Network Architectures for Control of Nonlinear Systems
• [cs.LG]Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities
• [cs.MA]Cyber-Physical Mobility Lab An Open-Source Platform for Networked and Autonomous Vehicles
• [cs.NE]A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm
• [cs.NE]A Novel Graphic Bending Transformation on Benchmark
• [cs.NE]Exploring Distributed Control with the NK Model
• [cs.NE]Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics
• [cs.NE]Fixed-Target Runtime Analysis
• [cs.NE]Large Population Sizes and Crossover Help in Dynamic Environments
• [cs.NI]Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning
• [cs.NI]Network Anomaly Detection based on Tensor Decomposition
• [cs.NI]STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
• [cs.PF]Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing
• [cs.RO]Estimating the Probability That a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes
• [cs.RO]Explainable Goal-Driven Agents and Robots — A Comprehensive Review and New Framework
• [cs.RO]Identification of Compliant Contact Parameters and Admittance Force Modulation on a Non-stationary Compliant Surface
• [cs.RO]Simultaneous Trajectory Optimization and Force Control with Soft Contact Mechanics
• [cs.SI]#COVID-19 on Twitter: Bots, Conspiracies, and Social Media Activism
• [cs.SI]A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation
• [cs.SI]Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting
• [cs.SI]Do Sports and Politics Mix? Cross-Analysis of Fan Bases of Major League Sports and Presidential Candidates
• [cs.SI]Exploring EOSIO via Graph Characterization
• [cs.SI]Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic
• [cs.SI]Quarantine Deceiving Yelp’s Users by Detecting Unreliable Rating Reviews
• [cs.SI]Rigorous Explanation of Inference on Probabilistic Graphical Models
• [cs.SI]That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets
• [cs.SI]The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic
• [econ.EM]Inference by Stochastic Optimization: A Free-Lunch Bootstrap
• [econ.EM]Revealing Cluster Structures Based on Mixed Sampling Frequencies
• [econ.TH]A Social Network Analysis of Occupational Segregation
• [eess.
10e
IV]Deep variational network for rapid 4D flow MRI reconstruction
• [eess.AS]Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech System
• [eess.AS]Language-agnostic Multilingual Modeling
• [eess.AS]Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
• [eess.IV]4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification
• [eess.IV]A Deep Learning Approach for Motion Forecasting Using 4D OCT Data
• [eess.IV]AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
• [eess.IV]Adversarial Distortion for Learned Video Compression
• [eess.IV]Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
• [eess.IV]CovidAID: COVID-19 Detection Using Chest X-Ray
• [eess.IV]Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
• [eess.IV]Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI
• [eess.IV]MixNet: Multi-modality Mix Network for Brain Segmentation
• [eess.IV]Self-Supervised Feature Extraction for 3D Axon Segmentation
• [eess.IV]Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data
• [eess.IV]Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
• [eess.SP]A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design
• [eess.SP]Adaptive Channel-Matched Detection for C-Band 64-Gbit/s Optical OOK System over 100-km Dispersion-Uncompensated Link
• [eess.SP]Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea
• [eess.SP]RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
• [eess.SY]Data-Driven Learning and Load Ensemble Control
• [eess.SY]Hot-Starting the Ac Power Flow with Convolutional Neural Networks
• [eess.SY]Integrated attitude estimation and control of satellite with thruster actuator using ANFIS
• [eess.SY]Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3
• [eess.SY]Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis
• [eess.SY]Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop
• [eess.SY]Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding
• [gr-qc]Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
• [math.NA]Sparse aNETT for Solving Inverse Problems with Deep Learning
• [math.OC]Data-Driven Optimization for Police Beat Design in South Fulton, Georgia
• [math.PR]A Note on Load Balancing in Many-Server Heavy-Traffic Regime
• [math.ST]Estimating Ising Models from One Sample
• [math.ST]Identifiability and consistency of network inference using the hub model and variants: a restricted class of Bernoulli mixture models
• [math.ST]Multivariate boundary regression models
• [math.ST]On the Theoretical Properties of the Network Jackknife
• [math.ST]The exact distribution of the largest eigenvalue of a singular beta F-matrix for Roy’s test
• [physics.ao-ph]An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet. A New Data Driven Tool for Spatiotemporal Tipping Point
• [physics.comp-ph]Predicting nucleation near the spinodal in the Ising model using machine learning
• [physics.soc-ph]Defining and identifying the optimal embedding dimension of networks
• [physics.soc-ph]Echo Chambers on Social Media: A comparative analysis
• [q-bio.QM]Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation
• [q-fin.ST]Clustering volatility regimes for dynamic trading strategies
• [quant-ph]High-throughput GPU layered decoder of multi-edge type low density parity check codes in continuous-variable quantum key distribution systems
• [stat.AP]A Neural Process Approach for Probabilistic Reconstruction of No-Data Gaps in Lunar Digital Elevation Maps
• [stat.AP]How much did the Tourism Industry Lost? Estimating Earning Loss of Tourism in the Philippines
• [stat.AP]Student-at-risk detection by current learning performance indicators using Bayesian networks
• [stat.ME]A Generalization of the Savage-Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses
• [stat.ME]A Robust Method for Estimating Individualized Treatment Effect
• [stat.ME]Fast Multivariate Probit Estimation via a Two-Stage Composite Likelihood
• [stat.ME]On The Problem of Relevance in Statistical Inference
• [stat.ME]Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials
• [stat.ML]Algorithms for slate bandits with non-separable reward functions
• [stat.ML]Causal network learning with non-invertible functional relationships
• [stat.ML]Knowing what you know: valid confidence sets in multiclass and multilabel prediction
• [stat.ML]Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs
• [stat.ML]Strong Consistency, Graph Laplacians, and the Stochastic Block Model
·····································
• [cs.
9e7
LG]CLOPS: Continual Learning of Physiological Signals
Dani Kiyasseh, Tingting Zhu, David A. Clifton
http://arxiv.org/abs/2004.09578v1
• [cs.AI]COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning
Luigi Bellomarini, Marco Benedetti, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Antonio Muci, Emanuel Sallinger
http://arxiv.org/abs/2004.10119v1
• [cs.AI]Characterizing Boundedness in Chase Variants
Stathis Delivorias, Michel Leclère, Marie-Laure Mugnier, Federico Ulliana
http://arxiv.org/abs/2004.10030v1
• [cs.AI]Imperatives for Virtual Humans
Weizi Li, Jan M. Allbeck
http://arxiv.org/abs/2004.10014v1
• [cs.AI]Knowledge Graph Embedding with Linear Representation for Link Prediction
Yanhui Peng, Jing Zhang
http://arxiv.org/abs/2004.10037v1
• [cs.AI]Knowledge Refactoring for Program Induction
Sebastijan Dumancic, Andrew Cropper
http://arxiv.org/abs/2004.09931v1
• [cs.AI]Learning large logic programs by going beyond entailment
Andrew Cropper, Sebastijan Dumančić
http://arxiv.org/abs/2004.09855v1
• [cs.AI]Reasoning about Typicality and Probabilities in Preferential Description Logics
Laura Giordano, Valentina Gliozzi, Antonio Lieto, Nicola Olivetto, Gian Luca Pozzato
http://arxiv.org/abs/2004.09507v1
• [cs.AI]pomdp_py: A Framework to Build and Solve POMDP Problems
Kaiyu Zheng, Stefanie Tellex
http://arxiv.org/abs/2004.10099v1
• [cs.CE]Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests
Wen Tang, Alireza Chakeri, Hamid Krim
http://arxiv.org/abs/2004.09720v1
• [cs.CL]Adaptive Interaction Fusion Networks for Fake News Detection
Lianwei Wu, Yuan Rao
http://arxiv.org/abs/2004.10009v1
• [cs.CL]An Automated Pipeline for Character and Relationship Extraction from Readers’ Literary Book Reviews on Goodreads.com
Shadi Shahsavari, Ehsan Ebrahimzadeh, Behnam Shahbazi, Misagh Falahi, Pavan Holur, Roja Bandari, Timothy R. Tangherlini, Vwani Roychowdhury
http://arxiv.org/abs/2004.09601v1
• [cs.CL]Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
http://arxiv.org/abs/2004.10102v1
• [cs.CL]BERT-ATTACK: Adversarial Attack Against BERT Using BERT
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu
http://arxiv.org/abs/2004.09984v1
• [cs.CL]Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling
David Harbecke, Christoph Alt
http://arxiv.org/abs/2004.09890v1
• [cs.CL]Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
KayYen Wong, Sameen Maruf, Gholamreza Haffari
http://arxiv.org/abs/2004.09894v1
• [cs.CL]Curriculum Pre-training for End-to-End Speech Translation
Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou, Zhenglu Yang
http://arxiv.org/abs/2004.10093v1
• [cs.CL]DIET: Lightweight Language Understanding for Dialogue Systems
Tanja Bunk, Daksh Varshneya, Vladimir Vlasov, Alan Nichol
http://arxiv.org/abs/2004.09936v1
• [cs.CL]Experience Grounds Language
Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph Turian
http://arxiv.org/abs/2004.10151v1
• [cs.CL]Grounding Conversations with Improvised Dialogues
Hyundong Cho, Jonathan May
http://arxiv.org/abs/2004.09544v1
• [cs.CL]Keyphrase Generation with Cross-Document Attention
Shizhe Diao, Yan Song, Tong Zhang
http://arxiv.org/abs/2004.09800v1
• [cs.CL]Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao
http://arxiv.org/abs/2004.10171v1
• [cs.CL]Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions
Siyu Ren, Kenny Q. Zhu
http://arxiv.org/abs/2004.09853v1
• [cs.CL]Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang
http://arxiv.org/abs/2004.09731v1
• [cs.CL]Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction
Yuming Shang, Heyan Huang, Xin Sun, Xianling Mao
http://arxiv.org/abs/2004.10051v1
• [cs.CL]Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
Canxiang Yan, Jianhao Yan, Yangyin Xu, Cheng Niu, Jie Zhou
http://arxiv.org/abs/2004.09974v1
• [cs.CL]Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
Akari Asai, Hannaneh Hajishirzi
http://arxiv.org/abs/2004.10157v1
• [cs.CL]Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
Nils Reimers, Iryna Gurevych
http://arxiv.org/abs/2004.09813v1
• [cs.CL]Neural Abstractive Summarization with Structural Attention
Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
http://arxiv.org/abs/2004.09739v1
• [cs.CL]Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen
http://arxiv.org/abs/2004.09930v1
• [cs.CL]TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling
Libo Qin, Xiao Xu, Wanxiang Che, Ting Liu
http://arxiv.org/abs/2004.10087v1
• [cs.CL]The Panacea Threat Intelligence and Active Defense Platform
Adam Dalton, Ehsan Aghaei, Ehab Al-Shaer, Archna Bhatia, Esteban Castillo, Zhuo Cheng, Sreekar Dhaduvai, Qi Duan, Md Mazharul Islam, Younes Karimi, Amir Masoumzadeh, Brodie Mather, Sashank Santhanam, Samira Shaikh, Tomek Strzalkowski, Bonnie J. Dorr
http://arxiv.org/abs/2004.09662v1
• [cs.CL]Train No Evil: Selective Masking for Task-guided Pre-training
Yuxian Gu, Zhengyan Zhang, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun
http://arxiv.org/abs/2004.09733v1
• [cs.CL]Unsupervised Opinion Summarization with Noising and Denoising
Reinald Kim Amplayo, Mirella Lapata
http://arxiv.org/abs/2004.10150v1
• [cs.CL]Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
Xiangpeng Wan, Hakim Ghazzai, Yehia Massoud
http://arxiv.org/abs/2004.09719v1
• [cs.CR]Data Poisoning Attacks on Federated Machine Learning
Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu
http://arxiv.org/abs/2004.10020v1
• [cs.CR]MgX: Near-Zero Overhead Memory Protection with an Application to Secure DNN Acceleration
Weizhe Hua, Muhammad Umar, Zhiru Zhang, G. Edward Suh
http://arxiv.org/abs/2004.09679v1
• [cs.CV]A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images
Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorif Merhof
http://arxiv.org/abs/2004.09795v1
• [cs.CV]AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Haofei Xu, Juyong Zhang
http://arxiv.org/abs/2004.09548v1
• [cs.CV]AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Hongjun Choi, Anirudh Som, Pavan Turaga
http://arxiv.org/abs/2004.09805v1
• [cs.CV]Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
Moritz Einfalt, Rainer Lienhart
http://arxiv.org/abs/2004.09776v1
• [cs.CV]Disaster Feature Classification on Aerial Photography to Explain Typhoon Damaged Region using Grad-CAM
Yasuno Takato
http://arxiv.org/abs/2004.10130v1
• [cs.CV]Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
http://arxiv.org/abs/2004.09681v1
• [cs.CV]Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation
Bai Zhu, Yuanxin Ye, Chao Yang, Liang Zhou, Huiyu Liu, Yungang Cao
http://arxiv.org/abs/2004.09811v1
• [cs.CV]Fine-Grained Expression Manipulation via Structured Latent Space
Junshu Tang, Zhiwen Shao, Lizhuang Ma
http://arxiv.org/abs/2004.09769v1
• [cs.CV]Frequency-Weighted Robust Tensor Principal Component Analysis
Shenghan Wang, Yipeng Liu, Lanlan Feng, Ce Zhu
http://arxiv.org/abs/2004.10068v1
• [cs.CV]Have you forgotten? A method to assess if machine learning models have forgotten data
Xiao Liu, Sotirios A Tsaftaris
http://arxiv.org/abs/2004.10129v1
• [cs.CV]Image Retrieval using Multi-scale CNN Features Pooling
Federico Vaccaro, Marco Bertini, Tiberio Uricchio, Alberto Del Bimbo
http://arxiv.org/abs/2004.09695v1
• [cs.CV]Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
Long Chen, Martin Strauch, Dorit Merhof
http://arxiv.org/abs/2004.09821v1
• [cs.CV]Intelligent Querying for Target Tracking in Camera Networks using Deep Q-Learning with n-Step Bootstrapping
Anil Sharma, Saket Anand, Sanjit K. Kaul
http://arxiv.org/abs/2004.09632v1
• [cs.CV]LRCN-RetailNet: A recurrent neural network architecture for accurate people counting
Lucas Massa, Adriano Barbosa, Krerley Oliveira, Thales Vieira
http://arxiv.org/abs/2004.09672v1
• [cs.CV]LSQ+: Improving low-bit quantization through learnable offsets and better initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak
http://arxiv.org/abs/2004.09576v1
• [cs.CV]MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu, Yun Liu, Jing Xu
http://arxiv.org/abs/2004.09750v1
• [cs.CV]NPF-MVSNet: Normal and Pyramid Feature Aided Unsupervised MVS Network
Baichuan Huang, Can Huang, Yijia He, Jingbin Liu, Xiao Liu
http://arxiv.org/abs/2004.09722v1
• [cs.CV]PAI-GCN: Permutable Anisotropic Graph Convolutional Networks for 3D Shape Representation Learning
Zhongpai Gao, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang
http://arxiv.org/abs/2004.09995v1
• [cs.CV]Rice grain disease identification using dual phase convolutional neural network-based system aimed at small dataset
Tashin Ahmed, Chowdhury Rafeed Rahman, Md. Faysal Mahmud Abid
http://arxiv.org/abs/2004.09870v1
• [cs.CV]Robust Motion Averaging under MaximumCorrentropy Criterion
Jihua Zhu, Jie Hu, Zhongyu Li, Badong Chen
http://arxiv.org/abs/2004.09829v1
• [cs.CV]Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition
Qi Li, Hanlin Mo, Jinghan Zhao, Hongxiang Hao, Hua Li
http://arxiv.org/abs/2004.09802v1
• [cs.CV]TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
Rami Ben-Ari, Mor Shpigel, Ophir Azulai, Udi Barzelay, Daniel Rotman
http://arxiv.org/abs/2004.10141v1
• [cs.CV]TAL EmotioNet Challenge 2020 Rethinking the Model Chosen Problem in Multi-Task Learning
Pengcheng Wang, Zihao Wang, Zhilong Ji, Xiao Liu, Songfan Yang, Zhongqin Wu
http://arxiv.org/abs/2004.09862v1
• [cs.CV]TTNet: Real-time temporal and spatial video analysis of table tennis
Roman Voeikov, Nikolay Falaleev, Ruslan Baikulov
http://arxiv.org/abs/2004.09927v1
• [cs.CV]Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories
Hao Xue, Du. Q. Huynh, Mark Reynolds
http://arxiv.org/abs/2004.09760v1
• [cs.CV]The 1st Agriculture-Vision Challenge: Methods and Results
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung KimIn-Seop Nan, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Jianyu Tang
http://arxiv.org/abs/2004.09754v1
• [cs.CV]Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
Shurun Wang, Shiqi Wang, Wenhan Yang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao
http://arxiv.org/abs/2004.10043v1
• [cs.CV]Towards Generalization of 3D Human Pose Estimation In The Wild
Renato Baptista, Alexandre Saint, Kassem Al Ismaeil, Djamila Aouada
http://arxiv.org/abs/2004.09989v1
• [cs.CV]TrueBranch: Metric Learning-based Verification of Forest Conservation Projects
Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang
http://arxiv.org/abs/2004.09725v1
• [cs.CV]Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Mohammad Reza Loghmani, Luca Robbiano, Mirco Planamente, Kiru Park, Barbara Caputo, Markus Vincze
http://arxiv.org/abs/2004.10016v1
• [cs.CV]Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
Marie-Sophie von Braun, Patrick Frenzel, Christian Käding, Mirco Fuchs
http://arxiv.org/abs/2004.09573v1
• [cs.CV]Weakly Aligned Joint Cross-Modality Super Resolution
Guy Shacht, Sharon Fogel, Dov Danon, Daniel Cohen-Or
http://arxiv.org/abs/2004.09965v1
• [cs.CY]Games for Fairness and Interpretability
Eric Chu, Nabeel Gillani, Sneha Priscilla Makini
http://arxiv.org/abs/2004.09551v1
• [cs.CY]Implementing AI Ethics in Practice: An Empirical Evaluation of the RESOLVEDD Strategy
Ville Vakkuri, Kai-Kristian Kemell
http://arxiv.org/abs/2004.10191v1
• [cs.CY]Influence of COVID-19 confinement in students performance in higher education
T. Gonzalez, M. A. de la Rubia, K. P. Hincz, M. Comas-Lopez, L. Subirats, S. Fort, G. M. Sacha
http://arxiv.org/abs/2004.09545v1
• [cs.CY]Why do People Share Misinformation during the COVID-19 Pandemic?
Samuli Laato, A. K. M. Najmul Islam, Muhammad Nazrul Islam, Eoin Whelan
http://arxiv.org/abs/2004.09600v1
• [cs.DC]A Generalization of the Allreduce Operation
Dmitry Kolmakov, Xuecang Zhang
http://arxiv.org/abs/2004.09362v2
• [cs.DC]A Survey and Annotated Bibliography of Workflow Scheduling in Computing Infrastructures: Community, Keyword, and Article Reviews — Extended Technical Report
Laurens Versluis, Alexandru Iosup
http://arxiv.org/abs/2004.10077v1
• [cs.DC]Experimental Evaluation of Asynchronous Binary Byzantine Consensus Algorithms with $t < n/3$ and $O(n^2)$ Messages and $O(1)$ Round Expected Termination
Tyler Crain
http://arxiv.org/abs/2004.09547v1
• [cs.DC]On the Relevance of Wait-free Coordination Algorithms in Shared-Memory HPC:The Global Virtual Time Case
Alessandro Pellegrini, Francesco Quaglia
http://arxiv.org/abs/2004.10033v1
• [cs.DC]Proposal of Automatic Offloading for Function Blocks of Applications
Yoji Yamato
http://arxiv.org/abs/2004.09883v1
• [cs.DC]torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models
Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim
http://arxiv.org/abs/2004.09910v1
• [cs.HC]Mirror Ritual: An Affective Interface for Emotional Self-Reflection
Nina Rajcic, Jon McCormack
http://arxiv.org/abs/2004.09685v1
• [cs.HC]On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019
Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel
http://arxiv.org/abs/2004.09596v1
• [cs.IR]Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
Feng Lu, Anca Dumitrache, David Graus
http://arxiv.org/abs/2004.09980v1
• [cs.IR]Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance
Bhawani Selvaretnam, Mohammed Belkhatir
http://arxiv.org/abs/2004.10035v1
• [cs.IR]Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Shohei Hisada, Taichi Murayama, Kota Tsubouchi, Sumio Fujita, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki
http://arxiv.org/abs/2004.10100v1
• [cs.IT]A Graph Joining Greedy Approach to Binary de Bruijn Sequences
Zuling Chang, Martianus Frederic Ezerman, Adamas Aqsa Fahreza, Qiang Wang
http://arxiv.org/abs/2004.09810v1
• [cs.IT]Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors
Emmanuel Abbe, Jan Hązła, Ido Nachum
http://arxiv.org/abs/2004.09590v1
• [cs.IT]An Information-Theoretic Proof of the Streaming Switching Lemma for Symmetric Encryption
Ido Shahaf, Or Ordentlich, Gil Segev
http://arxiv.org/abs/2004.09935v1
• [cs.IT]Channel Estimation and Power Scaling Law of Large Reflecting Surface with Non-Ideal Hardware
Yiming Liu, Erwu Liu, Rui Wang, Yuanzhe Geng
http://arxiv.org/abs/2004.09761v1
• [cs.IT]Energy Efficiency Analysis of Intelligent Reflecting Surface System with Hardware Impairments
Yiming Liu, Erwu Liu, Rui Wang
http://arxiv.org/abs/2004.09804v1
• [cs.IT]Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles
Rahif Kassab, Osvaldo Simeone, Petar Popovski
http://arxiv.org/abs/2004.10084v1
• [cs.IT]Load on the Typical Poisson Voronoi Cell with Clustered User Distribution
Chiranjib Saha, Harpreet S. Dhillon
http://arxiv.org/abs/2004.10053v1
• [cs.IT]Mobility-Assisted Covert Communication over Wireless Ad Hoc Networks
Hyeon-Seong Im, Si-Hyeon Lee
http://arxiv.org/abs/2004.08852v2
• [cs.IT]Modulated Sparse Superposition Codes for the Complex AWGN Channel
Kuan Hsieh, Ramji Venkataramanan
http://arxiv.org/abs/2004.09549v1
• [cs.IT]Optimization of Chaos-based Coded Modulations for Compensation of Amplifier Nonlinearities
Francisco J. Escribano, José Sáez-Landete, Alexandre Wagemakers
http://arxiv.org/abs/2004.09630v1
• [cs.IT]Robust Interference Management for SISO Systems with Multiple Over-the-Air Computations
Jaber Kakar, Aydin Sezgin
http://arxiv.org/abs/2004.09906v1
• [cs.IT]Sampling and Inference of Networked Dynamics using Log-Koopman Nonlinear Graph Fourier Transform
Zhuangkun Wei, Bin Li, Chengyao Sun, Weisi Guo
http://arxiv.org/abs/2004.09615v1
• [cs.IT]Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments
Shaoqing Zhou, Wei Xu, Kezhi Wang, Marco Di Renzo, Mohamed-Slim Alouini
http://arxiv.org/abs/2004.09854v1
• [cs.IT]Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of $G_N$-Coset Codes
Jiajie Tong, Xianbin Wang, Qifan Zhang, Huazi Zhang, Shengchen Dai, Rong Li, Jun Wang
http://arxiv.org/abs/2004.09897v1
• [cs.IT]Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of $G_N$-Coset Codes
Xianbin Wang, Jiajie Tong, Huazi Zhang, Shengchen Dai, Rong Li, Jun Wang
http://arxiv.org/abs/2004.09907v1
• [cs.LG]A Benchmark Study on Time Series Clustering
Ali Javed, Byung Suk Lee, Dona M. Rizzo
http://arxiv.org/abs/2004.09546v1
• [cs.LG]A Data and Compute Efficient Design for Limited-Resources Deep Learning
Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling
http://arxiv.org/abs/2004.09691v1
• [cs.LG]A Mathematical Programming approach to Binary Supervised Classification with Label Noise
Víctor Blanco, Alberto Japón, Justo Puerto
http://arxiv.org/abs/2004.10170v1
• [cs.LG]A novel embedded min-max approach for feature selection in nonlinear SVM classification
Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda
http://arxiv.org/abs/2004.09863v1
• [cs.LG]ALPS: Active Learning via Perturbations
Dani Kiyasseh, Tingting Zhu, David A. Clifton
http://arxiv.org/abs/2004.09557v1
• [cs.LG]AdaX: Adaptive Gradient Descent with Exponential Long Term Memory
Wenjie Li, Zhaoyang Zhang, Xinjiang Wang, Ping Luo
http://arxiv.org/abs/2004.09740v1
• [cs.LG]Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition
Zihan Zhang, Yuan Zhou, Xiangyang Ji
http://arxiv.org/abs/2004.10019v1
• [cs.LG]An RNN-Survival Model to Decide Email Send Times
Harvineet Singh, Moumita Sinha, Atanu R. Sinha, Sahil Garg, Neha Banerjee
http://arxiv.org/abs/2004.09900v1
• [cs.LG]Approximate exploitability: Learning a best response in large games
Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling
http://arxiv.org/abs/2004.09677v1
• [cs.LG]Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions
Gianlucca Zuin, Adriano Veloso, João Cândido Portinari, Nivio Ziviani
http://arxiv.org/abs/2004.09710v1
• [cs.LG]Bayesian Nonparametric Weight Factorization for Continual Learning
Nikhil Mehta, Kevin J Liang, Lawrence Carin
http://arxiv.org/abs/2004.10098v1
• [cs.LG]Critical Overview of Privacy-Preserving Learning in Vector Autoregressive Models for Energy Forecasting
Carla Gonçalves, Ricardo J. Bessa, Pierre Pinson
http://arxiv.org/abs/2004.09612v1
• [cs.LG]Discrete Variational Attention Models for Language Generation
Xianghong Fang, Haoli Bai, Zenglin Xu, Michael Lyu, Irwin King
http://arxiv.org/abs/2004.09764v1
• [cs.LG]EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
http://arxiv.org/abs/2004.10162v1
• [cs.LG]Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation
Ryan Julian, Benjamin Swanson, Gaurav S. Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman
http://arxiv.org/abs/2004.10190v1
• [cs.LG]Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance
K. Fountoulakis, M. Liu, D. F. Gleich, M. W. Michael
http://arxiv.org/abs/2004.09608v1
• [cs.LG]Forecasting directional movements of stock prices for intraday trading using LSTM and random forests
Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo
http://arxiv.org/abs/2004.10178v1
• [cs.LG]Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing
Will Y. Zou, Shuyang Du, James Lee, Jan Pedersen
http://arxiv.org/abs/2004.09702v1
• [cs.LG]Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
Liwei Jiang, Dan Li, Qisheng Wang, Shuai Wang, Songtao Wang
http://arxiv.org/abs/2004.09820v1
• [cs.LG]Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius
http://arxiv.org/abs/2004.09602v1
• [cs.LG]LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition
Xueying Shi, Yueming Jin, Qi Dou, Pheng-Ann Heng
http://arxiv.org/abs/2004.09845v1
• [cs.LG]Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects
Will Y. Zou, Smitha Shyam, Michael Mui, Mingshi Wang, Jan Pedersen, Zoubin Ghahramani
http://arxiv.org/abs/2004.09703v1
• [cs.LG]Learning Entangled Single-Sample Distributions via Iterative Trimming
Hui Yuan, Yingyu Liang
http://arxiv.org/abs/2004.09563v1
• [cs.LG]Local Clustering with Mean Teacher for Semi-supervised Learning
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
http://arxiv.org/abs/2004.09665v1
• [cs.LG]On the Compressive Power of Boolean Threshold Autoencoders
Avraham A. Melkman, Sini Guo, Wai-Ki Ching, Pengyu Liu, Tatsuya Akutsu
http://arxiv.org/abs/2004.09735v1
• [cs.LG]Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji, Ruxin Wang, Ye Li, Hongyan Wu
http://arxiv.org/abs/2004.09808v1
• [cs.LG]Reinforcement Learning to Optimize the Logistics Distribution Routes of Unmanned Aerial Vehicle
Linfei Feng
http://arxiv.org/abs/2004.09864v1
• [cs.LG]Revisiting Initialization of Neural Networks
Maciej Skorski
http://arxiv.org/abs/2004.09506v1
• [cs.LG]SIBRE: Self Improvement Based REwards for Reinforcement Learning
Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar
http://arxiv.org/abs/2004.09846v1
• [cs.LG]Synthetic Augmentation pix2pix using Tri-category Label with Edge structure for Accurate Segmentation architectures
Yasuno Takato
http://arxiv.org/abs/2004.10126v1
• [cs.LG]Tensor Networks for Medical Image Classification
Raghavendra Selvan, Erik B Dam
http://arxiv.org/abs/2004.10076v1
• [cs.LG]Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi
http://arxiv.org/abs/2004.09656v1
• [cs.LG]Towards deep neural network compression via learnable wavelet transforms
Moritz Wolter, Shaohui Lin, Angela Yao
http://arxiv.org/abs/2004.09569v1
• [cs.LG]Two-Level Lattice Neural Network Architectures for Control of Nonlinear Systems
James Ferlez, Xiaowu Sun, Yasser Shoukry
http://arxiv.org/abs/2004.09628v1
• [cs.LG]Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities
Timothy Chu, Gary L. Miller, Noel J. Walkington, Alex L. Wang
http://arxiv.org/abs/2004.09589v1
• [cs.MA]Cyber-Physical Mobility Lab An Open-Source Platform for Networked and Autonomous Vehicles
Maximilian Kloock, Janis Maczijewski, Patrick Scheffe, Alexandru Kampmann, Armin Mokhtarian, Stefan Kowalewski, Bassam Alrifaee
http://arxiv.org/abs/2004.10063v1
• [cs.NE]A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm
Yiming Peng, Hisao Ishibuchi
http://arxiv.org/abs/2004.09838v1
• [cs.NE]A Novel Graphic Bending Transformation on Benchmark
Fengyang Sun, Qingrui Ni, Lin Wang, Bo Yang, Chunxiuzi Liu
http://arxiv.org/abs/2004.10042v1
• [cs.NE]Exploring Distributed Control with the NK Model
Larry Bull
http://arxiv.org/abs/2004.10061v1
• [cs.NE]Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera
http://arxiv.org/abs/2004.09969v1
• [cs.NE]Fixed-Target Runtime Analysis
Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov
http://arxiv.org/abs/2004.09613v1
• [cs.NE]Large Population Sizes and Crossover Help in Dynamic Environments
Johannes Lengler, Jonas Meier
http://arxiv.org/abs/2004.09949v1
• [cs.NI]Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
http://arxiv.org/abs/2004.09817v1
• [cs.NI]Network Anomaly Detection based on Tensor Decomposition
Ananda Streit, Gustavo H. A. Santos, Rosa Leão, Edmundo de Souza e Silva, Daniel Menasché, Don Towsley
http://arxiv.org/abs/2004.09655v1
• [cs.NI]STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal
http://arxiv.org/abs/2004.09783v1
• [cs.PF]Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing
I. Sfiligoi, D. Schultz, B. Riedel, F. Wuerthwein, S. Barnet, V. Brik
http://arxiv.org/abs/2004.09492v1
• [cs.RO]Estimating the Probability That a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes
Goodarz Mehr, Azim Eskandarian
http://arxiv.org/abs/2004.09558v1
• [cs.RO]Explainable Goal-Driven Agents and Robots — A Comprehensive Review and New Framework
Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter
http://arxiv.org/abs/2004.09705v1
• [cs.RO]Identification of Compliant Contact Parameters and Admittance Force Modulation on a Non-stationary Compliant Surface
Lasitha Wijayarathne, Frank L. Hammond III
http://arxiv.org/abs/2004.09729v1
• [cs.RO]Simultaneous Trajectory Optimization and Force Control with Soft Contact Mechanics
Lasitha Wijayarathne, Qie Sima, Ziyi Zhou, Ye Zhao, Frank L. Hammond III
http://arxiv.org/abs/2004.09734v1
• [cs.SI]#COVID-19 on Twitter: Bots, Conspiracies, and Social Media Activism
Emilio Ferrara
http://arxiv.org/abs/2004.09531v1
• [cs.SI]A New Community Definition For MultiLayer Networks And A Novel Approach For Its Efficient Computation
Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy
http://arxiv.org/abs/2004.09625v1
• [cs.SI]Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting
Or Levi, Sardar Hamidian, Pedram Hosseini
http://arxiv.org/abs/2004.09745v1
• [cs.SI]Do Sports and Politics Mix? Cross-Analysis of Fan Bases of Major League Sports and Presidential Candidates
Shuaidong Pan, Faner Lin, Jiebo Luo
http://arxiv.org/abs/2004.10142v1
• [cs.SI]Exploring EOSIO via Graph Characterization
Yijing Zhao, Jieli Liu, Qing Han, Weilin Zheng, Jiajing Wu
http://arxiv.org/abs/2004.10017v1
• [cs.SI]Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic
Taylor Blose, Prasanna Umar, Anna Squicciarini, Sarah Rajtmajer
http://arxiv.org/abs/2004.09717v1
• [cs.SI]Quarantine Deceiving Yelp’s Users by Detecting Unreliable Rating Reviews
Viet Trinh, Vikrant More, Samira Zare, Sheideh Homayon
http://arxiv.org/abs/2004.09721v1
• [cs.SI]Rigorous Explanation of Inference on Probabilistic Graphical Models
Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie
http://arxiv.org/abs/2004.10066v1
• [cs.SI]That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets
Jim Samuel, Myles Garvey, Rajiv Kashyap
http://arxiv.org/abs/2004.09718v1
• [cs.SI]The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic
Viet Duong, Phu Pham, Tongyu Yang, Yu Wang, Jiebo Luo
http://arxiv.org/abs/2004.09968v1
• [econ.EM]Inference by Stochastic Optimization: A Free-Lunch Bootstrap
Jean-Jacques Forneron, Serena Ng
http://arxiv.org/abs/2004.09627v1
• [econ.EM]Revealing Cluster Structures Based on Mixed Sampling Frequencies
Yeonwoo Rho, Yun Liu, Hie Joo Ahn
http://arxiv.org/abs/2004.09770v1
• [econ.TH]A Social Network Analysis of Occupational Segregation
I. S. Buhai, M. J. van der Leij
http://arxiv.org/abs/2004.09293v1
• [eess.
10e
IV]Deep variational network for rapid 4D flow MRI reconstruction
Valery Vishnevskiy, Jonas Walheim, Sebastian Kozerke
http://arxiv.org/abs/2004.09610v1
• [eess.AS]Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech System
Viet Lam Phung, Phan Huy Kinh, Anh Tuan Dinh, Quoc Bao Nguyen
http://arxiv.org/abs/2004.09607v1
• [eess.AS]Language-agnostic Multilingual Modeling
Arindrima Datta, Bhuvana Ramabhadran, Jesse Emond, Anjuli Kannan, Brian Roark
http://arxiv.org/abs/2004.09571v1
• [eess.AS]Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Gaëtan Hadjeres, Léopold Crestel
http://arxiv.org/abs/2004.10120v1
• [eess.IV]4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification
Marcel Bengs, Nils Gessert, Alexander Schlaefer
http://arxiv.org/abs/2004.10165v1
• [eess.IV]A Deep Learning Approach for Motion Forecasting Using 4D OCT Data
Marcel Bengs, Nils Gessert, Alexander Schlaefer
http://arxiv.org/abs/2004.10121v1
• [eess.IV]AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Zhonghao Zhang, Yipeng Liu, Jiani Liu, Fei Wen, Ce Zhu
http://arxiv.org/abs/2004.10078v1
• [eess.IV]Adversarial Distortion for Learned Video Compression
Vijay Veerabadrany, Reza Pourreza, Amirhossein Habibian, Taco Cohen
http://arxiv.org/abs/2004.09508v1
• [eess.IV]Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
http://arxiv.org/abs/2004.09694v1
• [eess.IV]CovidAID: COVID-19 Detection Using Chest X-Ray
Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora
http://arxiv.org/abs/2004.09803v1
• [eess.IV]Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images
Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood
http://arxiv.org/abs/2004.09666v1
• [eess.IV]Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI
Jinyoung Kim, Remi Patriat, Jordan Kaplan, Oren Solomon, Noam Harel
http://arxiv.org/abs/2004.09788v1
• [eess.IV]MixNet: Multi-modality Mix Network for Brain Segmentation
Long Chen, Dorit Merhof
http://arxiv.org/abs/2004.09832v1
• [eess.IV]Self-Supervised Feature Extraction for 3D Axon Segmentation
Tzofi Klinghoffer, Peter Morales, Young-Gyun Park, Nicholas Evans, Kwanghun Chung, Laura J. Brattain
http://arxiv.org/abs/2004.09629v1
• [eess.IV]Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data
Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer
http://arxiv.org/abs/2004.10114v1
• [eess.IV]Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Mueller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
http://arxiv.org/abs/2004.10159v1
• [eess.SP]A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design
Lei Cheng, Liang Liu, Shuguang Cui
http://arxiv.org/abs/2004.09714v1
• [eess.SP]Adaptive Channel-Matched Detection for C-Band 64-Gbit/s Optical OOK System over 100-km Dispersion-Uncompensated Link
Haide Wang, Ji Zhou, Dong Guo, Yuanhua Feng, Weiping Liu, Changyuan Yu, Zhaohui Li
http://arxiv.org/abs/2004.09895v1
• [eess.SP]Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea
Gaetano Scebba, Giulia Da Poian, Walter Karlen
http://arxiv.org/abs/2004.09834v1
• [eess.SP]RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
Seyma Yucer, Furkan Tektas, Mesih Veysi Kilinc, Ilyas Kandemir, Hasari Celebi, Yakup Genc, Yusuf Sinan Akgul
http://arxiv.org/abs/2004.10083v1
• [eess.SY]Data-Driven Learning and Load Ensemble Control
Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin
http://arxiv.org/abs/2004.09675v1
• [eess.SY]Hot-Starting the Ac Power Flow with Convolutional Neural Networks
Liangjie Chen, Joseph Euzebe Tate
http://arxiv.org/abs/2004.09342v1
• [eess.SY]Integrated attitude estimation and control of satellite with thruster actuator using ANFIS
SeyedMehdi Abtahi, Nima Assadian
http://arxiv.org/abs/2004.09756v1
• [eess.SY]Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3
Viswanatha V, Venkata Siva Reddy R, Ashwini Kumari P, Pradeep Kumar S
http://arxiv.org/abs/2004.10174v1
• [eess.SY]Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis
Timothy L. Molloy
http://arxiv.org/abs/2004.09748v1
• [eess.SY]Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop
Brian Gaudet, Roberto Furfaro, Richard Linares, Andrea Scorsoglio
http://arxiv.org/abs/2004.09978v1
• [eess.SY]Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding
Qingchun Hou, Ning Zhang, Daniel S. Kirschen, Ershun Du, Yaohua Cheng, Chongqing Kang
http://arxiv.org/abs/2004.09579v1
• [gr-qc]Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers
Asad Khan, E. A. Huerta, Arnav Das
http://arxiv.org/abs/2004.09524v1
• [math.NA]Sparse aNETT for Solving Inverse Problems with Deep Learning
Daniel Obmann, Linh Nguyen, Johannes Schwab, Markus Haltmeier
http://arxiv.org/abs/2004.09565v1
• [math.OC]Data-Driven Optimization for Police Beat Design in South Fulton, Georgia
Shixiang Zhu, Alexander W. Bukharin, Le Lu, He Wang, Yao Xie
http://arxiv.org/abs/2004.09660v1
• [math.PR]A Note on Load Balancing in Many-Server Heavy-Traffic Regime
Xingyu Zhou, Ness Shroff
http://arxiv.org/abs/2004.09574v1
• [math.ST]Estimating Ising Models from One Sample
Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Anthimos Vardis Kandiros
http://arxiv.org/abs/2004.09370v2
• [math.ST]Identifiability and consistency of network inference using the hub model and variants: a restricted class of Bernoulli mixture models
Yunpeng Zhao, Peter Bickel, Charles Weko
http://arxiv.org/abs/2004.09709v1
• [math.ST]Multivariate boundary regression models
Leonie Selk, Charles Tillier, Orlando Marigliano
http://arxiv.org/abs/2004.09881v1
• [math.ST]On the Theoretical Properties of the Network Jackknife
Qiaohui Lin, Robert Lunde, Purnamrita Sarkar
http://arxiv.org/abs/2004.08935v2
• [math.ST]The exact distribution of the largest eigenvalue of a singular beta F-matrix for Roy’s test
Koki Shimizu, Hiroki Hashiguchi
http://arxiv.org/abs/2004.09833v1
• [physics.ao-ph]An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet. A New Data Driven Tool for Spatiotemporal Tipping Point
Abd AlRahman AlMomani, Erik Bollt
http://arxiv.org/abs/2004.09724v1
• [physics.comp-ph]Predicting nucleation near the spinodal in the Ising model using machine learning
Shan Huang, William Klein, Harvey Gould
http://arxiv.org/abs/2004.09575v1
• [physics.soc-ph]Defining and identifying the optimal embedding dimension of networks
Weiwei Gu, Aditya Tandon, Yong-Yeol Ahn, Filippo Radicchi
http://arxiv.org/abs/2004.09928v1
• [physics.soc-ph]Echo Chambers on Social Media: A comparative analysis
Matteo Cinelli, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, Michele Starnini
http://arxiv.org/abs/2004.09603v1
• [q-bio.QM]Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation
John Paul Francis, Hongzhi Wang, Kate White, Tanveer Syeda-Mahmood, Raymond Stevens
http://arxiv.org/abs/2004.09673v1
• [q-fin.ST]Clustering volatility regimes for dynamic trading strategies
Gilad Francis, Nick James, Max Menzies, Arjun Prakash
http://arxiv.org/abs/2004.09963v1
• [quant-ph]High-throughput GPU layered decoder of multi-edge type low density parity check codes in continuous-variable quantum key distribution systems
Yang Li, Xiaofang Zhang, Yong Li, Bingjie Xu, Li Ma, Jie Yang, Wei Huang
http://arxiv.org/abs/2004.09084v1
• [stat.AP]A Neural Process Approach for Probabilistic Reconstruction of No-Data Gaps in Lunar Digital Elevation Maps
Young-Jin Park, Han-Lim Choi
http://arxiv.org/abs/2004.09791v1
• [stat.AP]How much did the Tourism Industry Lost? Estimating Earning Loss of Tourism in the Philippines
Raffy S. Centeno, Judith P. Marquez
http://arxiv.org/abs/2004.09952v1
• [stat.AP]Student-at-risk detection by current learning performance indicators using Bayesian networks
T. A. Kustitskaya, A. A. Kytmanov, M. V. Noskov
http://arxiv.org/abs/2004.09774v1
• [stat.ME]A Generalization of the Savage-Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses
J. Mulder, E. -J. Wagenmakers, M. Marsman
http://arxiv.org/abs/2004.09899v1
• [stat.ME]A Robust Method for Estimating Individualized Treatment Effect
Haomiao Meng, Xingye Qiao
http://arxiv.org/abs/2004.10108v1
• [stat.ME]Fast Multivariate Probit Estimation via a Two-Stage Composite Likelihood
Bryan W. Ting, Fred A. Wright, Yi-Hui Zhou
http://arxiv.org/abs/2004.09623v1
• [stat.ME]On The Problem of Relevance in Statistical Inference
Subhadeep Mukhopadhyay, Kaijun Wang
http://arxiv.org/abs/2004.09588v1
• [stat.ME]Propensity Score Weighting for Covariate Adjustment in Randomized Clinical Trials
Shuxi Zeng, Fan Li, Rui Wang, Fan Li
http://arxiv.org/abs/2004.10075v1
• [stat.ML]Algorithms for slate bandits with non-separable reward functions
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
http://arxiv.org/abs/2004.09957v1
• [stat.ML]Causal network learning with non-invertible functional relationships
Bingling Wang, Qing Zhou
http://arxiv.org/abs/2004.09646v1
• [stat.ML]Knowing what you know: valid confidence sets in multiclass and multilabel prediction
Maxime Cauchois, Suyash Gupta, John Duchi
http://arxiv.org/abs/2004.10181v1
• [stat.ML]Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs
Vo Nguyen Le Duy, Ichiro Takeuchi
http://arxiv.org/abs/2004.09749v1
• [stat.ML]Strong Consistency, Graph Laplacians, and the Stochastic Block Model
Shaofeng Deng, Shuyang Ling, Thomas Strohmer
http://arxiv.org/abs/2004.09780v1
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