cs.AI - 人工智能

    cs.AR - 硬件体系结构 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 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 econ.EM - 计量经济学 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 math.OC - 优化与控制 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.med-ph - 医学物理学 physics.plasm-ph - 等离子体物理 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
    • [cs.AI]Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop
    • [cs.AI]Event Prediction in Big Data Era: A Systematic Survey
    • [cs.AI]Phase Transition Behavior in Knowledge Compilation
    • [cs.AI]Unlocking the Potential of Deep Counterfactual Value Networks
    • [cs.AR]Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
    • [cs.CL]BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text
    • [cs.CL]CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE
    • [cs.CL]Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
    • [cs.CL]Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
    • [cs.CL]Connecting Embeddings for Knowledge Graph Entity Typing
    • [cs.CL]Human Abnormality Detection Based on Bengali Text
    • [cs.CL]IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
    • [cs.CL]IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes
    • [cs.CL]IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
    • [cs.CL]Morphological Skip-Gram: Using morphological knowledge to improve word representation
    • [cs.CL]Neural Machine Translation with Error Correction
    • [cs.CL]XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders
    • [cs.CL]newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification
    • [cs.CL]problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches
    • [cs.CR]B-FERL: Blockchain based Framework for Securing Smart Vehicles
    • [cs.CR]Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
    • [cs.CR]Bit-level Parallelization of 3DES Encryption on GPU
    • [cs.CR]FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning
    • [cs.CV]3D Correspondence Grouping with Compatibility Features
    • [cs.CV]A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
    • [cs.CV]AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
    • [cs.CV]AinnoSeg: Panoramic Segmentation with High Perfomance
    • [cs.CV]Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
    • [cs.CV]Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
    • [cs.CV]CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
    • [cs.CV]Deep Preset: Blending and Retouching Photos with Color Style Transfer
    • [cs.CV]Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
    • [cs.CV]DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
    • [cs.CV]Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
    • [cs.CV]Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
    • [cs.CV]Domain Generalization with Optimal Transport and Metric Learning
    • [cs.CV]Enhancement of damaged-image prediction through Cahn-Hilliard Image Inpainting
    • [cs.CV]Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
    • [cs.CV]Fine-Grained Image Captioning with Global-Local Discriminative Objective
    • [cs.CV]Foley Music: Learning to Generate Music from Videos
    • [cs.CV]GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
    • [cs.CV]GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
    • [cs.CV]Garment Design with Generative Adversarial Networks
    • [cs.CV]Generative Hierarchical Features from Synthesizing Images
    • [cs.CV]Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
    • [cs.CV]Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
    • [cs.CV]Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
    • [cs.CV]Learning Person Re-identification Models from Videos with Weak Supervision
    • [cs.CV]Learning to Compose Hypercolumns for Visual Correspondence
    • [cs.CV]Learning to Generate Customized Dynamic 3D Facial Expressions
    • [cs.CV]Lymphocyte counting — Error Analysis of Regression versus Bounding Box Detection Approaches
    • [cs.CV]Movement Assessment from Skeleton Videos: A Review
    • [cs.CV]MovieNet: A Holistic Dataset for Movie Understanding
    • [cs.CV]Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
    • [cs.CV]Multi-modal Transformer for Video Retrieval
    • [cs.CV]Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
    • [cs.CV]NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition
    • [cs.CV]NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
    • [cs.CV]Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows
    • [cs.CV]Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
    • [cs.CV]Object-Centric Multi-View Aggregation
    • [cs.CV]PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
    • [cs.CV]PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
    • [cs.CV]Points2Surf: Learning Implicit Surfaces from Point Cloud Patches
    • [cs.CV]Privacy Preserving Visual SLAM
    • [cs.CV]Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
    • [cs.CV]Recurrent Exposure Generation for Low-Light Face Detection
    • [cs.CV]Regularizing Deep Networks with Semantic Data Augmentation
    • [cs.CV]Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences
    • [cs.CV]Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
    • [cs.CV]Shape and Viewpoint without Keypoints
    • [cs.CV]Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
    • [cs.CV]Soft Expert Reward Learning for Vision-and-Language Navigation
    • [cs.CV]Sorted Pooling in Convolutional Networks for One-shot Learning
    • [cs.CV]Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos
    • [cs.CV]Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
    • [cs.CV]Video Representation Learning by Recognizing Temporal Transformations
    • [cs.CV]Video Super-resolution with Temporal Group Attention
    • [cs.CY]Cloud technologies as a tool of creating Earth Remote Sensing educational resources
    • [cs.CY]Future Smart Connected Communities to Fight COVID-19 Outbreak
    • [cs.CY]Global gender differences in Wikipedia readership
    • [cs.CY]Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
    • [cs.CY]Nine Recommendations for Decision Aid Implementation from the Clinician Perspective
    • [cs.CY]Recommendations for Planning Inclusive Astronomy Conferences
    • [cs.CY]The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts?
    • [cs.CY]The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models
    • [cs.CY]The impact of COVID-19 pandemic on human mobility behaviors of communities with different age level in the United States
    • [cs.DB]Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
    • [cs.DC]AI Tax: The Hidden Cost of AI Data Center Applications
    • [cs.DC]BeeSwarm: Enabling Scalability Tests in Continuous Integration
    • [cs.DC]Blockchain Is Dead, Long Live Blockchain! Accountable State Machine Replication for Longlasting Blockchain
    • [cs.DC]Collaborative Cloud Computing Framework for Health Data with Open Source Technologies
    • [cs.DC]Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks
    • [cs.DC]Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]
    • [cs.DC]PISTIS: From a Word-of-Mouth to a Gentleman’s Agreement
    • [cs.DC]SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks
    • [cs.DC]Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows
    • [cs.DS]Interactive Inference under Information Constraints
    • [cs.GT]Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense
    • [cs.HC]CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
    • [cs.IR]Conformer-Kernel with Query Term Independence for Document Retrieval
    • [cs.IT]A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
    • [cs.IT]Cluster-Head-Driven UAV Relaying with Recursive Maximum Minimum Distance using CRANs
    • [cs.IT]Explicit two-deletion codes with redundancy matching the existential bound
    • [cs.IT]Geometric Shaping of 2-Dimensional Constellations in the Presence of Laser Phase Noise
    • [cs.IT]Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper’s CSI
    • [cs.IT]Outage-Constrained Robust Beamforming for Intelligent Reflecting Surface Aided Wireless Communication
    • [cs.IT]Passive Beamforming for IRS Aided Wireless Networks
    • [cs.IT]The Two-Armed Balance Game: Probability, Random Strategy and Dishonesty
    • [cs.IT]Wireless Image Retrieval at the Edge
    • [cs.LG]Adaptive Traffic Control with Deep Reinforcement Learning:Towards State-of-the-art and Beyond
    • [cs.LG]Balanced Meta-Softmax for Long-Tailed Visual Recognition
    • [cs.LG]Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
    • [cs.LG]DeepNNK: Explaining deep models and their generalization using polytope interpolation
    • [cs.LG]Differentiable Joint Pruning and Quantization for Hardware Efficiency
    • [cs.LG]Distributed Memory based Self-Supervised Differentiable Neural Computer
    • [cs.LG]Effects of Approximate Multiplication on Convolutional Neural Networks
    • [cs.LG]Incentives for Federated Learning: a Hypothesis Elicitation Approach
    • [cs.LG]Inverting the Feature Visualization Process for Feedforward Neural Networks
    • [cs.LG]Lagrangian Duality in Reinforcement Learning
    • [cs.LG]Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
    • [cs.LG]Learning to Read and Follow Music in Complete Score Sheet Images
    • [cs.LG]Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary
    • [cs.LG]Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks
    • [cs.LG]Neural Network Robustness Verification on GPUs
    • [cs.LG]PanRep: Universal node embeddings for heterogeneous graphs
    • [cs.LG]Pattern-Guided Integrated Gradients
    • [cs.LG]Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
    • [cs.LG]Randomized Automatic Differentiation
    • [cs.LG]Randomized Online CP Decomposition
    • [cs.LG]Robust Hierarchical Graph Classification with Subgraph Attention
    • [cs.LG]Second-Order Pooling for Graph Neural Networks
    • [cs.LG]Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support
    • [cs.LG]Sinkhorn Barycenter via Functional Gradient Descent
    • [cs.LG]SliceOut: Training Transformers and CNNs faster while using less memory
    • [cs.LG]Towards Ground Truth Explainability on Tabular Data
    • [cs.LG]Towards Multimodal MIR: Predicting individual differences from music-induced movement
    • [cs.LG]Towards Visual Distortion in Black-Box Attacks
    • [cs.LG]Translation Between Waves, wave2wave
    • [cs.LG]Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
    • [cs.LG]Unsupervised Heterogeneous Coupling Learning for Categorical Representation
    • [cs.LG]Visualizing Deep Graph Generative Models for Drug Discovery
    • [cs.LG]What is important about the No Free Lunch theorems?
    • [cs.LG]Word Representation for Rhythms
    • [cs.NI]Analysis and Optimization of Service Delay for Multi-quality Videos in Multi-tier Heterogeneous Network with Random Caching
    • [cs.RO]Best Viewpoints for External Robots or Sensors Assisting Other Robots
    • [cs.RO]Deep vs. Deep Bayesian: Reinforcement Learning on a Multi-Robot Competitive Experiment
    • [cs.RO]Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
    • [cs.RO]Distributed Motion Control for Multiple Connected Surface Vessels
    • [cs.RO]Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction
    • [cs.RO]INS/Odometer Land Navigation by Accurate Measurement Modeling and Multiple-Model Adaptive Estimation
    • [cs.RO]Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking
    • [cs.RO]Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
    • [cs.RO]Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features
    • [cs.RO]UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning
    • [cs.SD]Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques
    • [cs.SE]Conformance checking: A state-of-the-art literature review
    • [cs.SE]The Corrective Commit Probability Code Quality Metric
    • [cs.SI]Automatic Story Construction from News Articles in an Online Fashion
    • [cs.SI]Inferring Political Preferences from Twitter
    • [cs.SI]On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
    • [econ.EM]Filtered and Unfiltered Treatment Effects with Targeting Instruments
    • [econ.EM]Lasso Inference for High-Dimensional Time Series
    • [eess.AS]Acoustic Neighbor Embeddings
    • [eess.AS]Optimization of data-driven filterbank for automatic speaker verification
    • [eess.AS]SLNSpeech: solving extended speech separation problem by the help of sign language
    • [eess.IV]Active MR k-space Sampling with Reinforcement Learning
    • [eess.IV]Detection, Attribution and Localization of GAN Generated Images
    • [eess.IV]Fully Automated Segmentation of the Left Ventricle in Magnetic Resonance Images
    • [eess.IV]Improving Memory Utilization in Convolutional Neural Network Accelerators
    • [eess.IV]Integrative Analysis for COVID-19 Patient Outcome Prediction
    • [eess.IV]Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning
    • [eess.SP]Gasper: GrAph Signal ProcEssing in R
    • [eess.SY]Automated and Sound Synthesis of Lyapunov Functions with SMT Solvers
    • [eess.SY]Flow Sampling: Accurate and Load-balanced Sampling Policies
    • [eess.SY]Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation
    • [math.OC]On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts
    • [math.OC]Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
    • [math.ST]Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields
    • [math.ST]Empirical Likelihood Ratio Test on quantiles under a Density Ratio Model
    • [math.ST]Majorisation as a theory for uncertainty
    • [physics.ao-ph]Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks
    • [physics.comp-ph]GPU coprocessors as a service for deep learning inference in high energy physics
    • [physics.med-ph]A radiomics approach to analyze cardiac alterations in hypertension
    • [physics.plasm-ph]Experiment data-driven modeling of tokamak discharge in EAST
    • [q-bio.GN]i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome
    • [q-bio.PE]Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
    • [q-fin.ST]Efficiency of the financial markets during the COVID-19 crisis: time-varying parameters of fractional stable dynamics
    • [quant-ph]Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus
    • [quant-ph]Quantum and Classical Hybrid Generations for Classical Correlations
    • [quant-ph]What are the minimal conditions required to define a SIC POVM?
    • [stat.AP]A scala library for spatial sensitivity analysis
    • [stat.AP]Assessment of COVID-19 hospitalization forecasts from a simplified SIR model
    • [stat.AP]Clustering patterns connecting COVID-19 dynamics and Human mobility using optimal transport
    • [stat.AP]Estimating crop yields with remote sensing and deep learning
    • [stat.AP]Evaluating the Informativeness of the Besag-York-Mollié CAR Model
    • [stat.AP]Modeling Player and Team Performance in Basketball
    • [stat.AP]When deep learning meets causal inference: a compu
    738
    tational framework for drug repurposing from real-world data
    • [stat.CO]Computational Causal Inference
    • [stat.CO]MAGMA: Inference and Prediction with Multi-Task Gaussian Processes
    • [stat.ME]A coherent likelihood parametrization for doubly robust estimation of a causal effect with missing confounders
    • [stat.ME]A variable selection approach for highly correlated predictors in high-dimensional genomic data
    • [stat.ME]ADAGES: adaptive aggregation with stability for distributed feature selection
    • [stat.ME]Backfitting for large scale crossed random effects regressions
    • [stat.ME]Conditional calibration for false discovery rate control under dependence
    • [stat.ME]Improved inference on risk measures for univariate extremes
    • [stat.ME]Quantifying Performance Changes with Effect Size Confidence Intervals
    • [stat.ME]Relations between networks, regression, partial correlation, and latent variable model
    • [stat.ML]Autoencoding Structural Equation Models
    • [stat.ML]Generalization and Invariances in the Presence of Unobserved Confounding
    • [stat.ML]Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
    • [stat.ML]Minimax Policy for Heavy-tailed Multi-armed Bandits
    • [stat.ML]Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations
    • [stat.ML]The multilayer random dot product graph
    • [stat.ML]Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

    ·····································

    • [cs.AI]An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
    Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan, Chun Ouyang, Renuka Sindhgatta, Peter Bruza
    http://arxiv.org/abs/2007.10668v1

    • [cs.AI]Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop
    Jonathan Chung, Anna Luo, Xavier Raffin, Scott Perry
    http://arxiv.org/abs/2007.10504v1

    • [cs.AI]Event Prediction in Big Data Era: A Systematic Survey
    Liang Zhao
    http://arxiv.org/abs/2007.09815v2

    • [cs.AI]Phase Transition Behavior in Knowledge Compilation
    Rahul Gupta, Subhajit Roy, Kuldeep S. Meel
    http://arxiv.org/abs/2007.10400v1

    • [cs.AI]Unlocking the Potential of Deep Counterfactual Value Networks
    Ryan Zarick, Bryan Pellegrino, Noam Brown, Caleb Banister
    http://arxiv.org/abs/2007.10442v1

    • [cs.AR]Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
    Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Umit Y. Ogras, Anderson L. Sartor, Radu Marculescu
    http://arxiv.org/abs/2007.09361v1

    • [cs.CL]BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text
    Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi
    http://arxiv.org/abs/2007.10819v1

    • [cs.CL]CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE
    Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney, Ashutosh Modi
    http://arxiv.org/abs/2007.10830v1

    • [cs.CL]Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
    Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth
    http://arxiv.org/abs/2007.10534v1

    • [cs.CL]Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
    Daniel Furrer, Marc van Zee, Nathan Scales, Nathanael Schärli
    http://arxiv.org/abs/2007.08970v2

    • [cs.CL]Connecting Embeddings for Knowledge Graph Entity Typing
    Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
    http://arxiv.org/abs/2007.10873v1

    • [cs.CL]Human Abnormality Detection Based on Bengali Text
    M. F. Mridha, Md. Saifur Rahman, Abu Quwsar Ohi
    http://arxiv.org/abs/2007.10718v1

    • [cs.CL]IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
    Vipul Singhal, Sahil Dhull, Rishabh Agarwal, 2000
    Ashutosh Modi
    http://arxiv.org/abs/2007.10820v1

    • [cs.CL]IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes
    Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi
    http://arxiv.org/abs/2007.10822v1

    • [cs.CL]IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
    Anirudh Anil Ojha, Rohin Garg, Shashank Gupta, Ashutosh Modi
    http://arxiv.org/abs/2007.10866v1

    • [cs.CL]Morphological Skip-Gram: Using morphological knowledge to improve word representation
    Flávio Santos, Hendrik Macedo, Thiago Bispo, Cleber Zanchettin
    http://arxiv.org/abs/2007.10055v2

    • [cs.CL]Neural Machine Translation with Error Correction
    Kaitao Song, Xu Tan, Jianfeng Lu
    http://arxiv.org/abs/2007.10681v1

    • [cs.CL]XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders
    Xiangjue Dong, Jinho D. Choi
    http://arxiv.org/abs/2007.10945v1

    • [cs.CL]newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification
    Paramansh Singh, Siraj Sandhu, Subham Kumar, Ashutosh Modi
    http://arxiv.org/abs/2007.10827v1

    • [cs.CL]problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches
    Jagriti Singh, Randeep Kumar Sahu, Ashutosh Modi
    http://arxiv.org/abs/2007.10877v1

    • [cs.CR]B-FERL: Blockchain based Framework for Securing Smart Vehicles
    Chuka Oham, Regio Michelin, Salil S. Kanhere, Raja Jurdak, Sanjay Jha
    http://arxiv.org/abs/2007.10528v1

    • [cs.CR]Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
    Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Anmin Fu, Surya Nepal, Hyoungshick Kim
    http://arxiv.org/abs/2007.10760v1

    • [cs.CR]Bit-level Parallelization of 3DES Encryption on GPU
    Kaan Furkan Altınok, Afşin Peker, Alptekin Temizel
    http://arxiv.org/abs/2007.10752v1

    • [cs.CR]FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning
    Zhaoxiong Yang, Shuihai Hu, Kai Chen
    http://arxiv.org/abs/2007.10560v1

    • [cs.CV]3D Correspondence Grouping with Compatibility Features
    Jiaqi Yang, Jiahao Chen, Zhiqiang Huang, Siwen Quan, Yanning Zhang, Zhiguo Cao
    http://arxiv.org/abs/2007.10570v1

    • [cs.CV]A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
    Kang Liao, Chunyu Lin, Yao Zhao
    http://arxiv.org/abs/2007.10689v1

    • [cs.CV]AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
    Yuzhen Ding, Nupur Thakur, Baoxin Li
    http://arxiv.org/abs/2007.10485v1

    • [cs.CV]AinnoSeg: Panoramic Segmentation with High Perfomance
    Jiahong Wu, Jianfei Lu, Xinxin Kang, Yiming Zhang, Yinhang Tang, Jianfei Song, Ze Huang, Shenglan Ben, Jiashui Huang, Faen Zhang
    http://arxiv.org/abs/2007.10591v1

    • [cs.CV]Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
    Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Jianguo Wang, Jianwei Li, Hao Su, Yue Zhou
    http://arxiv.org/abs/2007.10714v1

    • [cs.CV]Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
    Xian Zhong, Cheng Gu, Wenxin Huang, Lin Li, Shuqin Chen, Chia-Wen Lin
    http://arxiv.org/abs/2007.10778v1

    • [cs.CV]CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
    Jinpyo Kim, Wooekun Jung, Hyungmo Kim, Jaejin Lee
    http://arxiv.org/abs/2007.10588v1

    • [cs.CV]Deep Preset: Blending and Retouching Photos with Color Style Transfer
    Man M. Ho, Jinjia Zhou
    http://arxiv.org/abs/2007.10701v1

    • [cs.CV]Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
    Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng
    http://arxiv.org/abs/2007.10787v1

    • [cs.CV]DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
    Saeed Khaki, Hieu Pham, Ye Han, Andy Kuhl, Wade Kent, Lizhi Wang
    http://arxiv.org/abs/2007.10521v1

    • [cs.CV]Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
    Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai
    http://arxiv.org/abs/2007.10872v1

    • [cs.CV]Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
    Lijun Gong, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2007.09979v2

    • [cs.CV]Domain Generalization with Optimal Transport and Metric Learning
    Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa
    http://arxiv.org/abs/2007.10573v1

    • [cs.CV]Enhancement of damaged-image prediction through Cahn-Hilliard Image Inpainting
    José A. Carrillo, Serafim Kalliadasis, Fuyue Liang, Sergio P. Perez
    http://arxiv.org/abs/2007.10753v1

    • [cs.CV]Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
    Chang Shu, Kun Yu, Zhixiang Duan, Kuiyuan Yang
    http://arxiv.org/abs/2007.10603v1

    • [cs.CV]Fine-Grained Image Captioning with Global-Local Discriminative Objective
    Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin
    http://arxiv.org/abs/2007.10662v1

    • [cs.CV]Foley Music: Learning to Generate Music from Videos
    Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba
    http://arxiv.org/abs/2007.10984v1

    • [cs.CV]GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
    Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2007.09968v2

    • [cs.CV]GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
    Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2007.10867v1

    • [cs.CV]Garment Design with Generative Adversarial Networks
    Chenxi Yuan, Mohsen Moghaddam
    http://arxiv.org/abs/2007.10947v1

    • [cs.CV]Generative Hierarchical Features from Synthesizing Images
    Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou
    http://arxiv.org/abs/2007.10379v1

    • [cs.CV]Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement
    Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen
    http://arxiv.org/abs/2007.10599v1

    • [cs.CV]Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
    Jianing Li, Shiliang Zhang
    http://arxiv.org/abs/2007.10854v1

    • [cs.CV]Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
    Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker
    http://arxiv.org/abs/2007.10983v1

    • [cs.CV]Learning Person Re-identification Models from Videos with Weak Supervision
    Xueping Wang, Sujoy Paul, Dripta S. Raychaudhuri, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury, Fellow, IEEE
    http://arxiv.org/abs/2007.10631v1

    • [cs.CV]Learning to Compose Hypercolumns for Visual Correspondence
    Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
    http://arxiv.org/abs/2007.10587v1

    • [cs.CV]Learning to Generate Customized Dynamic 3D Facial Expressions
    Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou
    http://arxiv.org/abs/2007.09805v2

    • [cs.CV]Lymphocyte counting — Error Analysis of Regression versus Bounding Box Detection Approaches
    Lin Geng Foo, Alexander Binder
    http://arxiv.org/abs/2007.10817v1

    • [cs.CV]Movement Assessment from Skeleton Videos: A Review
    Tal Hakim
    http://arxiv.org/abs/2007.10737v1

    • [cs.CV]MovieNet: A Holistic Dataset for Movie Understanding
    Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin
    http://arxiv.org/abs/2007.10937v1

    • [cs.CV]Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
    Congbo Ma, Hu Wang, Steven C. H. Hoi
    http://arxiv.org/abs/2007.10859v1

    • [cs.CV]Multi-modal Transformer for Video Retrieval
    Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid
    http://arxiv.org/abs/2007.10639v1

    • [cs.CV]Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
    He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian
    http://arxiv.org/abs/2007.10986v1

    • [cs.CV]NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition
    Dan Zeng, Hailin Shi, Hang Du, Jun Wang, Zhen Lei, Tao Mei
    http://arxiv.org/abs/2007.10172v2

    • [cs.CV]NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
    Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
    http://arxiv.org/abs/2007.10396v1

    • [cs.CV]Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows
    Kunal Gupta, Manmohan Chandraker
    http://arxiv.org/abs/2007.10973v1

    • [cs.CV]Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
    Mingyu Yin, Li Sun, Qingli Li
    http://arxiv.org/abs/2007.10618v1

    • [cs.CV]Object-Centric Multi-View Aggregation
    Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas
    http://arxiv.org/abs/2007.10300v2

    • [cs.CV]PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
    Zhengyang Shen, Lingshen He, Zhouchen Lin, Jinwen Ma
    http://arxiv.org/abs/2007.10408v1

    • [cs.CV]PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
    Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
    http://arxiv.org/abs/2007.10985v1

    • [cs.CV]Points2Surf: Learning Implicit Surfaces from Point Cloud Patches
    Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Michael Wimmer, Niloy J. Mitra
    http://arxiv.org/abs/2007.10453v1

    • [cs.CV]Privacy Preserving Visual SLAM
    Mikiya Shibuya, Shinya Sumikura, Ken Sakurada
    http://arxiv.org/abs/2007.10361v1

    • [cs.CV]Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
    Sungheon Park, Minsik Lee, Nojun Kwak
    http://arxiv.org/abs/2007.10961v1

    • [cs.CV]Recurrent Exposure Generation for Low-Light Face Detection
    Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu
    http://arxiv.org/abs/2007.10963v1

    • [cs.CV]Regularizing Deep Networks with Semantic Data Augmentation
    Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu
    http://arxiv.org/abs/2007.10538v1

    • [cs.CV]Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences
    Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer
    http://arxiv.org/abs/2007.10700v1

    • [cs.CV]Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
    Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts
    http://arxiv.org/abs/2007.10891v1

    • [cs.CV]Shape and Viewpoint without Keypoints
    Shubham Goel, Angjoo Kanazawa, Jitendra Malik
    http://arxiv.org/abs/2007.10982v1

    • [cs.CV]Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
    Shuailin Li, Chuyu Zhang, Xuming He
    http://arxiv.org/abs/2007.10732v1

    • [cs.CV]Soft Expert Reward Learning for Vision-and-Language Navigation
    Hu Wang, Qi Wu, Chunhua Shen
    http://arxiv.org/abs/2007.10835v1

    • [cs.CV]Sorted Pooling in Convolutional Networks for One-shot Learning
    András Horváth
    http://arxiv.org/abs/2007.10495v1

    • [cs.CV]Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos
    Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid
    http://arxiv.org/abs/2007.10703v1

    • [cs.CV]Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing
    Yapeng Tian, Dingzeyu Li, Chenliang Xu
    http://arxiv.org/abs/2007.10558v1

    • [cs.CV]Video Representation Learning by Recognizing Temporal Transformations
    Simon Jenni, Givi Meishvili, Paolo Favaro
    http://arxiv.org/abs/2007.10730v1

    • [cs.CV]Video Super-resolution with Temporal Group Attention
    Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
    http://arxiv.org/abs/2007.10595v1

    • [cs.CY]Cloud technologies as a tool of creating Earth Remote Sensing educational resources
    Ihor Kholoshyn, Olga Bondarenko, Olena Hanchuk, Iryna Varfolomyeyeva
    http://arxiv.org/abs/2007.10774v1

    • [cs.CY]Future Smart Connected Communities to Fight COVID-19 Outbreak
    Deepti Gupta, Smriti Bhatt, Maanak Gupta, Ali Saman Tosun
    http://arxiv.org/abs/2007.10477v1

    • [cs.CY]Global gender differences in Wikipedia readership
    Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia
    http://arxiv.org/abs/2007.10403v1

    • [cs.CY]Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
    Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe
    http://arxiv.org/abs/2007.10546v1

    • [cs.CY]Nine Recommendations for Decision Aid Implementation from the Clinician Perspective
    Anshu Ankolekar, Ben G. L. Vanneste, Esther Bloemen-van Gurp, Joep van Roermund, Adriana Berlanga, Cheryl Roumen, Evert van Limbergen, Ludy Lutgens, Tom Marcelissen, Philippe Lambin, Andre Dekker, Rianne Fijten
    http://arxiv.org/abs/2007.10797v1

    • [cs.CY]Recommendations for Planning Inclusive Astronomy Conferences
    Inclusive Astronomy 2 Local Organizing Committee, :, Brian Brooks, Keira Brooks, Lea Hagen, Nimish Hathi, Samantha Hoffman, James Paranilam, Laura Prichard
    http://arxiv.org/abs/2007.10970v1

    • [cs.CY]The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts?
    Gari D. Clifford
    http://arxiv.org/abs/2007.10502v1

    • [cs.CY]The Geometry of Information Cocoon: Analyzing the Cultural Space with Word Embedding Models
    Huimin Xu, Zhicong Chen, Ruiqi Li, Cheng-Jun Wang
    http://arxiv.org/abs/2007.10083v2

    • [cs.CY]The impact of COVID-19 pandemic on human mobility behaviors of communities with different age level in the United States
    Aliakbar Kabiri, Aref Darzi, Weiyi Zhou, Qianqian Sun, Lei Zhang
    http://arxiv.org/abs/2007.10436v1

    • [cs.DB]Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
    Chi Zhang, Ryan Marcus, Anat Kleiman, Olga Papaemmanouil
    http://arxiv.org/abs/2007.10568v1

    • [cs.DC]AI Tax: The Hidden Cost of AI Data Center Applications
    Daniel Richins, Dharmisha Doshi, Matthew Blackmore, Aswathy Thulaseedharan Nair, Neha Pathapati, Ankit Patel, Brainard Daguman, Daniel Dobrijalowski, Ramesh Illikkal, Kevin Long, David Zimmerman, Vijay Janapa Reddi
    http://arxiv.org/abs/2007.10571v1

    • [cs.DC]BeeSwarm: Enabling Scalability Tests in Continuous Integration
    Jieyang Chen, Qiang Guan, Li-Ta Lo, Patricia Grubel, Tim Randles
    http://arxiv.org/abs/2007.10491v1

    • [cs.DC]Blockchain Is Dead, Long Live Blockchain! Accountable State Machine Replication for Longlasting Blockchain
    Alejandro Ranchal-Pedrosa, Vincent Gramoli
    http://arxiv.org/abs/2007.10541v1

    • [cs.DC]Collaborative Cloud Computing Framework for Health Data with Open Source Technologies
    Fatemeh Rouzbeh, Ananth Grama, Paul Griffin, Mohammad Adibuzzaman
    http://arxiv.org/abs/2007.10498v1

    • [cs.DC]Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks
    Jungyeon Baek, Georges Kaddoum
    http://arxiv.org/abs/2007.10581v1

    • [cs.DC]Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]**
    Michael Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica
    http://arxiv.org/abs/2007.09468v2

    • [cs.DC]PISTIS: From a Word-of-Mouth to a Gentleman’s Agreement
    David Kozhaya, Jeremie Decouchant, Vincent Rahli, Paulo Esteves-Verissimo
    http://arxiv.org/abs/2007.10958v1

    • [cs.DC]SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks
    Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
    http://arxiv.org/abs/2007.10459v1

    • [cs.DC]Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows
    Martin Uhrin, Sebastiaan P. Huber, Jusong Yu, Nicola Marzari, Giovanni Pizzi
    http://arxiv.org/abs/2007.10312v2

    • [cs.DS]Interactive Inference under Information Constraints
    Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
    http://arxiv.org/abs/2007.10976v1

    • [cs.GT]Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense
    Sailik Sengupta, Subbarao Kambhampati
    http://arxiv.org/abs/2007.10457v1

    • [cs.HC]CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
    Shayan Hassantabar, Novati Stefano, Vishweshwar Ghanakota, Alessandra Ferrari, Gregory N. Nicola, Raffaele Bruno, Ignazio R. Marino, Niraj K. Jha
    http://arxiv.org/abs/2007.10497v1

    • [cs.IR]Conformer-Kernel with Query Term Independence for Document Retrieval
    Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
    http://arxiv.org/abs/2007.10434v1

    • [cs.IT]A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
    Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor
    http://arxiv.org/abs/2007.10821v1

    • [cs.IT]Cluster-Head-Driven UAV Relaying with Recursive Maximum Minimum Distance using CRANs
    F. L. Duarte, R. C. de Lamare
    http://arxiv.org/abs/2007.10540v1

    • [cs.IT]Explicit two-deletion codes with redundancy matching the existential bound
    Venkatesan Guruswami, Johan Håstad
    http://arxiv.org/abs/2007.10592v1

    • [cs.IT]Geometric Shaping of 2-Dimensional Constellations in the Presence of Laser Phase Noise
    Hubert Dzieciol, Gabriele Liga, Eric Sillekens, Polina Bayvel, Domaniç Lavery
    http://arxiv.org/abs/2007.10473v1

    • [cs.IT]Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper’s CSI
    Hui-Ming Wang, Jiale Bai, Limeng Dong
    http://arxiv.org/abs/2007.10788v1

    • [cs.IT]Outage-Constrained Robust Beamforming for Intelligent Reflecting Surface Aided Wireless Communication
    Ming-Min Zhao, An Liu, Rui Zhang
    http://arxiv.org/abs/2007.10769v1

    • [cs.IT]Passive Beamforming for IRS Aided Wireless Networks
    Ke-Wen Huang, Hui-Ming Wang
    http://arxiv.org/abs/2007.10943v1

    • [cs.IT]The Two-Armed Balance Game: Probability, Random Strategy and Dishonesty
    Fangqi Li
    http://arxiv.org/abs/2007.10735v1

    • [cs.IT]Wireless Image Retrieval at the Edge
    Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
    http://arxiv.org/abs/2007.10915v1

    • [cs.LG]Adaptive Traffic Control with Deep Reinforcement Learning:Towards State-of-the-art and Beyond
    Siavash Alemzadeh, Ramin Moslemi, Ratnesh Sharma, Mehran Mesbahi
    http://arxiv.org/abs/2007.10960v1

    • [cs.LG]Balanced Meta-Softmax for Long-Tailed Visual Recognition
    Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li
    http://arxiv.org/abs/2007.10740v1

    • [cs.LG]Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
    Jake Snell, Richard Zemel
    http://arxiv.org/abs/2007.10417v1

    • [cs.LG]DeepNNK: Explaining deep models and their generalization using polytope interpolation
    Sarath Shekkizhar, Antonio Ortega
    http://arxiv.org/abs/2007.10505v1

    • [cs.LG]Differentiable Joint Pruning and Quantization for Hardware Efficiency
    Ying Wang, Yadong Lu, Tijmen Blankevoort
    http://arxiv.org/abs/2007.10463v1

    • [cs.LG]Distributed Memory based Self-Supervised Differentiable Neural Computer
    Taewon Park, Inchul Choi, Minho Lee
    http://arxiv.org/abs/2007.10637v1

    • [cs.LG]Effects of Approximate Multiplication on Convolutional Neural Networks
    Min Soo Kim, Alberto A. Del Barrio, HyunJin Kim, Nader Bagherzadeh
    http://arxiv.org/abs/2007.10500v1

    • [cs.LG]Incentives for Federated Learning: a Hypothesis Elicitation Approach
    Yang Liu, Jiaheng Wei
    http://arxiv.org/abs/2007.10596v1

    • [cs.LG]Inverting the Feature Visualization Process for Feedforward Neural Networks
    Christian Reinbold, Rüdiger Westermann
    http://arxiv.org/abs/2007.10757v1

    • [cs.LG]Lagrangian Duality in Reinforcement Learning
    Pranay Pasula
    http://arxiv.org/abs/2007.09998v2

    • [cs.LG]Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
    Ruixiang Zhang, Masanori Koyama, katsuhiko Ishiguro
    http://arxiv.org/abs/2007.10623v1

    • [cs.LG]Learning to Read and Follow Music in Complete Score Sheet Images
    Florian Henkel, Rainer Kelz, Gerhard Widmer
    http://arxiv.org/abs/2007.10736v1

    • [cs.LG]Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary
    Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
    http://arxiv.org/abs/2007.10567v1

    • [cs.LG]Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks
    Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen
    http://arxiv.org/abs/2007.10527v1

    • [cs.LG]Neural Network Robustness Verification on GPUs
    Christoph Müller, Gagandeep Singh, Markus Püschel, Martin Vechev
    http://arxiv.org/abs/2007.10868v1

    • [cs.LG]PanRep: Universal node embeddings for heterogeneous graphs
    Vassilis N. Ioannidis, Da Zheng, George Karypis
    http://arxiv.org/abs/2007.10445v1

    • [cs.LG]Pattern-Guided Integrated Gradients
    Robert Schwarzenberg, Steffen Castle
    http://arxiv.org/abs/2007.10685v1

    • [cs.LG]Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
    Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, T. Yong-Jin Han
    http://arxiv.org/abs/2007.10800v1

    • [cs.LG]Randomized Automatic Differentiation
    Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P. Adams
    http://arxiv.org/abs/2007.10412v1

    • [cs.LG]Randomized Online CP Decomposition
    Congbo Ma, Xiaowei Yang, Hu Wang
    http://arxiv.org/abs/2007.10798v1

    • [cs.LG]Robust Hierarchical Graph Classification with Subgraph Attention
    Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
    http://arxiv.org/abs/2007.10908v1

    • [cs.LG]Second-Order Pooling for Graph Neural Networks
    Zhengyang Wang, Shuiwang Ji
    http://arxiv.org/abs/2007.10467v1

    • [cs.LG]Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support
    Xin Deng, Ross Smith, Genevieve Quintin
    http://arxiv.org/abs/2007.09303v2

    • [cs.LG]Sinkhorn Barycenter via Functional Gradient Descent
    Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
    http://arxiv.org/abs/2007.10449v1

    • [cs.LG]SliceOut: Training Transformers and CNNs faster while using less memory
    Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal
    http://arxiv.org/abs/2007.10909v1

    • [cs.LG]Towards Ground Truth Explainability on Tabular Data
    Brian Barr, Ke Xu, Claudio Silva, Enrico Bertini, Robert Reilly, C. Bayan Bruss, Jason D. Wittenbach
    http://arxiv.org/abs/2007.10532v1

    • [cs.LG]Towards Multimodal MIR: Predicting individual differences from music-induced movement
    Yudhik Agrawal, Samyak Jain, Emily Carlson, Petri Toiviainen, Vinoo Alluri
    http://arxiv.org/abs/2007.10695v1

    • [cs.LG]Towards Visual Distortion in Black-Box Attacks
    Nannan Li, Zhenzhong Chen
    http://arxiv.org/abs/2007.10593v1

    • [cs.LG]Translation Between Waves, wave2wave
    Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda
    http://arxiv.org/abs/2007.10394v1

    • [cs.LG]Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
    Pankaj Pandey, Raunak Swarnkar, Shobhit Kakaria, Krishna Prasad Miyapuram
    http://arxiv.org/abs/2007.10756v1

    • [cs.LG]Unsupervised Heterogeneous Coupling Learning for Categorical Representation
    Chengzhang Zhu, Longbing Cao, Jianping Yin
    http://arxiv.org/abs/2007.10720v1

    • [cs.LG]Visualizing Deep Graph Generative Models for Drug Discovery
    Karan Yang, Chengxi Zang, Fei Wang
    http://arxiv.org/abs/2007.10333v1

    • [cs.LG]What is important about the No Free Lunch theorems?
    David H. Wolpert
    http://arxiv.org/abs/2007.10928v1

    • [cs.LG]Word Representation for Rhythms
    Tongyu Lu, Lucheng Yan, Gus Xia
    http://arxiv.org/abs/2007.10610v1

    • [cs.NI]Analysis and Optimization of Service Delay for Multi-quality Videos in Multi-tier Heterogeneous Network with Random Caching
    Xuewei Zhang, Tiejun Lv, Yuan Ren, Wei Ni, Norman C. Beaulieu
    http://arxiv.org/abs/2007.10633v1

    • [cs.RO]Best Viewpoints for External Robots or Sensors Assisting Other Robots
    Jan Dufek, Xuesu Xiao, Robin R. Murphy
    http://arxiv.org/abs/2007.10452v1

    • [cs.RO]Deep vs. Deep Bayesian: Reinforcement Learning on a Multi-Robot Competitive Experiment
    Jingyi Huang, Andre Rosendo
    http://arxiv.org/abs/2007.10675v1

    • [cs.RO]Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
    Teng Liu, Xing Yang, Hong Wang, Xiaolin Tang, Long Chen, Huilong Yu, Fei-Yue Wang
    http://arxiv.org/abs/2007.10799v1

    • [cs.RO]Distributed Motion Control for Multiple Connected Surface Vessels
    Wei Wang, Zijian Wang, Luis Mateos, Kuan Wei Huang, Mac Schwager, Carlo Ratti, Daniela Rus
    http://arxiv.org/abs/2007.10577v1

    • [cs.RO]Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction
    John McConnell, John D. Martin, Brendan Englot
    http://arxiv.org/abs/2007.10407v1

    • [cs.RO]INS/Odometer Land Navigation by Accurate Measurement Modeling and Multiple-Model Adaptive Estimation
    Wei Ouyang, Yuanxin Wu, Hongyue Chen
    http://arxiv.org/abs/2007.10543v1

    • [cs.RO]Leveraging Stereo-Camera Data for Real-Time Dynamic Obstacle Detection and Tracking
    Thomas Eppenberger, Gianluca Cesari, Marcin Dymczyk, Roland Siegwart, Renaud Dubé
    http://arxiv.org/abs/2007.10743v1

    • [cs.RO]Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking
    Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Tanwani, Ken Goldberg
    http://arxiv.org/abs/2007.10420v1

    • [cs.RO]Reconfigurable Behavior Trees: Towards an Executive Framework Meeting High-level Decision Making and Control Layer Features
    Pilar de la Cruz, Justus Piater, Matteo Saveriano
    http://arxiv.org/abs/2007.10663v1

    • [cs.RO]UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning
    Sarthak Bhagat, Sujit PB
    http://arxiv.org/abs/2007.10934v1

    • [cs.SD]Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques
    Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
    http://arxiv.org/abs/2007.10926v1

    • [cs.SE]Conformance checking: A state-of-the-art literature review
    Sebastian Dunzer, Matthias Stierle, Martin Matzner, Stephan Baier
    http://arxiv.org/abs/2007.10903v1

    • [cs.SE]The Corrective Commit Probability Code Quality Metric
    Idan Amit, Dror G. Feitelson
    http://arxiv.org/abs/2007.10912v1

    • [cs.SI]Automatic Story Construction from News Articles in an Online Fashion
    Özgür Can, Selma Tekir
    http://arxiv.org/abs/2007.10399v1

    • [cs.SI]Inferring Political Preferences from Twitter
    Mohd Zeeshan Ansari, Areesha Fatima Siddiqui, Mohammad Anas
    http://arxiv.org/abs/2007.10604v1

    • [cs.SI]On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic
    Md Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee
    http://arxiv.org/abs/2007.10712v1

    • [econ.EM]Filtered and Unfiltered Treatment Effects with Targeting Instruments
    Sokbae Lee, Bernard Salanié
    http://arxiv.org/abs/2007.10432v1

    • [econ.EM]Lasso Inference for High-Dimensional Time Series
    Robert Adamek, Stephan Smeekes, Ines Wilms
    http://arxiv.org/abs/2007.10952v1

    • [eess.AS]Acoustic Neighbor Embeddings
    Woojay Jeon
    http://arxiv.org/abs/2007.10329v1

    • [eess.AS]Optimization of data-driven filterbank for automatic speaker verification
    Susanta Sarangi, Md Sahidullah, Goutam Saha
    http://arxiv.org/abs/2007.10729v1

    • [eess.AS]SLNSpeech: solving extended speech separation problem by the help of sign language
    Jiasong Wu, Taotao Li, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu
    http://arxiv.org/abs/2007.10629v1

    • [eess.IV]Active MR k-space Sampling with Reinforcement Learning
    Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
    http://arxiv.org/abs/2007.10469v1

    • [eess.IV]Detection, Attribution and Localization of GAN Generated Images
    Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
    http://arxiv.org/abs/2007.10466v1

    • [eess.IV]Fully Automated Segmentation of the Left Ventricle in Magnetic Resonance Images
    ZiHao Wang, ZhenZhou Wang
    http://arxiv.org/abs/2007.10665v1

    • [eess.IV]Improving Memory Utilization in Convolutional Neural Network Accelerators
    Petar Jokic, Stephane Emery, Luca Benini
    http://arxiv.org/abs/2007.09963v1

    • [eess.IV]Integrative Analysis for COVID-19 Patient Outcome Prediction
    Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara D. Arru, Subba R. Digumarthy, Rosa Babaei, Hadi K. Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
    http://arxiv.org/abs/2007.10416v1

    • [eess.IV]Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning
    Iksung Kang, Alexandre Goy, George Barbastathis
    http://arxiv.org/abs/2007.10734v1

    • [eess.SP]Gasper: GrAph Signal ProcEssing in R
    Basile de Loynes, Fabien Navarro, Baptiste Olivier
    http://arxiv.org/abs/2007.10642v1

    • [eess.SY]Automated and Sound Synthesis of Lyapunov Functions with SMT Solvers
    Daniele Ahmed, Andrea Peruffo, Alessandro Abate
    http://arxiv.org/abs/2007.10865v1

    • [eess.SY]Flow Sampling: Accurate and Load-balanced Sampling Policies
    Yulin Shao, Soung Chang Liew, He Chen
    http://arxiv.org/abs/2007.10660v1

    • [eess.SY]Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation
    Clint Ferrin, Greg Droge, Randall Christensen
    http://arxiv.org/abs/2007.10441v1

    • [math.OC]On the Convergence of Reinforcement Learning with Monte Carlo Exploring Starts
    Jun Liu
    http://arxiv.org/abs/2007.10916v1

    • [math.OC]Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
    Albert Berahas, Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou
    http://arxiv.org/abs/2007.10525v1

    • [math.ST]Central limit theorems for stationary random fields under weak dependence with application to ambit and mixed moving average fields
    Imma Valentina Curato, Robert Stelzer, Bennet Ströh
    http://arxiv.org/abs/2007.10874v1

    • [math.ST]Empirical Likelihood Ratio Test on quantiles under a Density Ratio Model
    Archer Gong Zhang, Jiahua Chen
    http://arxiv.org/abs/2007.10586v1

    • [math.ST]Majorisation as a theory for uncertainty
    Victoria Volodina, Nikki Sonenberg, Edward Wheatcroft, Henry Wynn
    http://arxiv.org/abs/2007.10725v1

    • [physics.ao-ph]Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks
    Tsuyoshi Thomas Sekiyama
    http://arxiv.org/abs/2007.10839v1

    • [physics.comp-ph]GPU coprocessors as a service for deep learning inference in high energy physics
    Jeffrey Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore, Javier Duarte, Philip Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Thomas Klijnsma, Mia Liu, Kevin Pedro, Natchanon Suaysom, Matt Trahms, Nhan Tran
    http://arxiv.org/abs/2007.10359v1

    • [physics.med-ph]A radiomics approach to analyze cardiac alterations in hypertension
    Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Angel Gonzalez Ballester, Karim Lekadir
    http://arxiv.org/abs/2007.10717v1

    • [physics.plasm-ph]Experiment data-driven modeling of tokamak discharge in EAST
    Chenguang Wan, Jiangang Li, Zhi Yu, Xiaojuan Liu
    http://arxiv.org/abs/2007.10552v1

    • [q-bio.GN]i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome
    Ruhul Amin, Chowdhury Rafeed Rahman, Swakkhar Shatabda, Md. Sadrul Islam Toaha
    http://arxiv.org/abs/2007.10458v1

    • [q-bio.PE]Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
    Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
    http://arxiv.org/abs/2007.10981v1

    • [q-fin.ST]Efficiency of the financial markets during the COVID-19 crisis: time-varying parameters of fractional stable dynamics
    Ayoub Ammy-Driss, Matthieu Garcin
    http://arxiv.org/abs/2007.10727v1

    • [quant-ph]Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus
    Arit Kumar Bishwas, Ashish Mani, Vasile Palade
    http://arxiv.org/abs/2007.10328v1

    • [quant-ph]Quantum and Classical Hybrid Generations for Classical Correlations
    Xiaodie Lin, Zhaohui Wei, Penghui Yao
    http://arxiv.org/abs/2007.10673v1

    • [quant-ph]What are the minimal conditions required to define a SIC POVM?
    Isabelle Jianing Geng, Kimberly Golubeva, Gilad Gour
    http://arxiv.org/abs/2007.10483v1

    • [stat.AP]A scala library for spatial sensitivity analysis
    Juste Raimbault, Julien Perret, Romain Reuillon
    http://arxiv.org/abs/2007.10667v1

    • [stat.AP]Assessment of COVID-19 hospitalization forecasts from a simplified SIR model
    P. -A. Absil, Ousmane Diao, Mouhamadou Diallo
    http://arxiv.org/abs/2007.10492v1

    • [stat.AP]Clustering patterns connecting COVID-19 dynamics and Human mobility using optimal transport
    Frank Nielsen, Gautier Marti, Sumanta Ray, Saumyadipta Pyne
    http://arxiv.org/abs/2007.10677v1

    • [stat.AP]Estimating crop yields with remote sensing and deep learning
    Renato Luiz de Freitas Cunha, Bruno Silva
    http://arxiv.org/abs/2007.10882v1

    • [stat.AP]Evaluating the Informativeness of the Besag-York-Mollié CAR Model
    Harrison Quick, Guangzi Song, Loni Tabb
    http://arxiv.org/abs/2007.10559v1

    • [stat.AP]Modeling Player and Team Performance in Basketball
    Zachary Terner, Alexander Franks
    http://arxiv.org/abs/2007.10550v1

    • [stat.AP]When deep learning meets causal inference: a compu
    738
    tational framework for drug repurposing from real-world data
    Ruoqi Liu, Lai Wei, Ping Zhang
    http://arxiv.org/abs/2007.10152v1

    • [stat.CO]Computational Causal Inference
    Jeffrey C. Wong
    http://arxiv.org/abs/2007.10979v1

    • [stat.CO]MAGMA: Inference and Prediction with Multi-Task Gaussian Processes
    Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
    http://arxiv.org/abs/2007.10731v1

    • [stat.ME]A coherent likelihood parametrization for doubly robust estimation of a causal effect with missing confounders
    Katherine Evans, Isabel Fulcher, Eric J. Tchetgen Tchetgen
    http://arxiv.org/abs/2007.10393v1

    • [stat.ME]A variable selection approach for highly correlated predictors in high-dimensional genomic data
    Wencan Zhu, Céline Lévy-Leduc, Nils Ternès
    http://arxiv.org/abs/2007.10768v1

    • [stat.ME]ADAGES: adaptive aggregation with stability for distributed feature selection
    Yu Gui
    http://arxiv.org/abs/2007.10776v1

    • [stat.ME]Backfitting for large scale crossed random effects regressions
    Swarnadip Ghosh, Trevor Hastie, Art B. Owen
    http://arxiv.org/abs/2007.10612v1

    • [stat.ME]Conditional calibration for false discovery rate control under dependence
    William Fithian, Lihua Lei
    http://arxiv.org/abs/2007.10438v1

    • [stat.ME]Improved inference on risk measures for univariate extremes
    Léo R. Belzile, Anthony C. Davison
    http://arxiv.org/abs/2007.10780v1

    • [stat.ME]Quantifying Performance Changes with Effect Size Confidence Intervals
    Tomas Kalibera, Richard Jones
    http://arxiv.org/abs/2007.10899v1

    • [stat.ME]Relations between networks, regression, partial correlation, and latent variable model
    Lourens Waldorp, Maarten Marsman
    http://arxiv.org/abs/2007.10656v1

    • [stat.ML]Autoencoding Structural Equation Models
    Michael Park
    http://arxiv.org/abs/2007.10507v1

    • [stat.ML]Generalization and Invariances in the Presence of Unobserved Confounding
    Alexis Bellot, Mihaela van der Schaar
    http://arxiv.org/abs/2007.10653v1

    • [stat.ML]Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
    Wei Cheng, Gregory Darnell, Sohini Ramachandran, Lorin Crawford
    http://arxiv.org/abs/2007.10389v1

    • [stat.ML]Minimax Policy for Heavy-tailed Multi-armed Bandits
    Lai Wei, Vaibhav Srivastava
    http://arxiv.org/abs/2007.10493v1

    • [stat.ML]Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations
    Xiongjun Zhang, Michael K. Ng
    http://arxiv.org/abs/2007.10626v1

    • [stat.ML]The multilayer random dot product graph
    Andrew Jones, Patrick Rubin-Delanchy
    http://arxiv.org/abs/2007.10455v1

    • [stat.ML]Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
    David Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan Paiton
    http://arxiv.org/abs/2007.10930v1