cond-mat.dis-nn - 无序系统与神经网络 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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.GR - 计算机图形学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 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.GN - 一般经济学 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.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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

    • [cond-mat.dis-nn]Circumventing spin glass traps by microcanonical spontaneous symmetry breaking
    • [cs.AI]A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
    • [cs.AI]Drug discovery with explainable artificial intelligence
    • [cs.AI]Enforcing Almost-Sure Reachability in POMDPs
    • [cs.AI]Medical idioms for clinical Bayesian network development
    • [cs.AI]Situation Calculus by Term Rewriting
    • [cs.AI]Unifying Model Explainability and Robustness via Machine-Checkable Concepts
    • [cs.AR]Efficient Communication Acceleration for Next-GenScale-up Deep Learning Training Platforms
    • [cs.CL]Adversarial Mutual Information for Text Generation
    • [cs.CL]COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
    • [cs.CL]Iterative Paraphrastic Augmentation with Discriminative Span Alignment
    • [cs.CL]Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
    • [cs.CL]Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
    • [cs.CL]OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
    • [cs.CL]SemEval-2020 Task 4: Commonsense Validation and Explanation
    • [cs.CL]So What’s the Plan? Mining Strategic Planning Document
    • [cs.CL]Transferability of Natural Language Inference to Biomedical Question Answering
    • [cs.CR]A Truly Self-Sovereign Identity System
    • [cs.CR]Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities
    • [cs.CV]A Dataset for Evaluating Multi-spectral Motion Estimation Methods
    • [cs.CV]A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation
    • [cs.CV]Adversarial Open Set Domain Adaptation Based on Mutual Information
    • [cs.CV]Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
    • [cs.CV]BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
    • [cs.CV]Data-driven Regularization via Racecar Training for Generalizing Neural Networks
    • [cs.CV]Deep Feature Space: A Geometrical Perspective
    • [cs.CV]Deep Learning for Vision-based Prediction: A Survey
    • [cs.CV]Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks
    • [cs.CV]DocVQA: A Dataset for VQA on Document Images
    • [cs.CV]Enhancing the Association in Multi-Object Tracking via Neighbor Graph
    • [cs.CV]Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction
    • [cs.CV]FVV Live: A real-time free-viewpoint video system with consumer electronics hardware
    • [cs.CV]FathomNet: An underwater image training database for ocean exploration and discovery
    • [cs.CV]Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval
    • [cs.CV]Future Urban Scenes Generation Through Vehicles Synthesis
    • [cs.CV]Generating Adversarial Examples with an Optimized Quality
    • [cs.CV]Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet
    • [cs.CV]HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
    • [cs.CV]Is Robustness To Transformations Driven by Invariant Neural Representations?
    • [cs.CV]Learning unbiased zero-shot semantic segmentation networks via transductive transfer
    • [cs.CV]Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
    • [cs.CV]M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
    • [cs.CV]Modality-Agnostic Attention Fusion for visual search with text feedback
    • [cs.CV]NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models
    • [cs.CV]Object Goal Navigation using Goal-Oriented Semantic Exploration
    • [cs.CV]Online Domain Adaptation for Occupancy Mapping
    • [cs.CV]Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking
    • [cs.CV]Optimisation of the PointPillars network for 3D object detection in point clouds
    • [cs.CV]Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
    • [cs.CV]Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation
    • [cs.CV]Robust navigation with tinyML for autonomous mini-vehicles
    • [cs.CV]Swapping Autoencoder for Deep Image Manipulation
    • [cs.CV]The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
    • [cs.CV]Towards Explainable Graph Representations in Digital Pathology
    • [cs.CV]Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
    • [cs.CY]De-anonymization of authors through arXiv submissions during double-blind review
    • [cs.CY]Evaluation of Fairness Trade-offs in Predicting Student Success
    • [cs.CY]Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions
    • [cs.DC]Extending the OpenCHK Model with Advanced Checkpoint Features
    • [cs.DC]On the Distributed Construction of Stable Networks in Polylogarithmic Parallel Time
    • [cs.DC]Shuffle-Exchange Brings Faster: Reduce the Idle Time During Communication for Decentralized Neural Network Training
    • [cs.DC]The Hermes BFT for Blockchains
    • [cs.DL]The Sci-hub Effect: Sci-hub downloads lead to more article citations
    • [cs.GR]Deep Geometric Texture Synthesis
    • [cs.GR]On Designing GPU Algorithms with Applications to Mesh Refinement
    • [cs.IR]An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
    • [cs.IR]Interactive Path Reasoning on Graph for Conversational Recommendation
    • [cs.IR]Making Use of Affective Features from Media Content Metadata for Better Movie Recommendation Making
    • [cs.IR]Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment
    • [cs.IR]Unsupervised Semantic Hashing with Pairwise Reconstruction
    • [cs.IT]An Efficient Slow-Time Adaptation for Massive MIMO Hybrid Beamforming in mm-Wave Time-Varying Channels
    • [cs.IT]Distributed Linearly Separable Computation
    • [cs.IT]Index Coding in Vehicle to Vehicle Communication
    • [cs.IT]Multi-Layer Bilinear Generalized Approximate Message Passing
    • [cs.IT]New Linear Codes as Quasi-Twisted Codes from Long Constacyclic Codes
    • [cs.IT]On Exact Distribution of Poisson-Voronoi Area in $K$-tier HetNets with Generalized Association Rule
    • [cs.IT]On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT
    • [cs.LG]A Novel Higher-order Weisfeiler-Lehman Graph Convolution
    • [cs.LG]Adaptive Procedural Task Generation for Hard-Exploration Problems
    • [cs.LG]All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
    • [cs.LG]Belief Propagation Neural Networks
    • [cs.LG]Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation?
    • [cs.LG]Causal Discovery in Physical Systems from Videos
    • [cs.LG]Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
    • [cs.LG]Continuous-Time Multi-Armed Bandits with Controlled Restarts
    • [cs.LG]Convex Regularization in Monte-Carlo Tree Search
    • [cs.LG]Data Movement Is All You Need: A Case Study of Transformer Networks
    • [cs.LG]Debiased Contrastive Learning
    • [cs.LG]Developing cooperative policies for multi-stage tasks
    • [cs.LG]Dynamic Regret of Policy Optimization in Non-stationary Environments
    • [cs.LG]Early-Learning Regularization Prevents Memorization of Noisy Labels
    • [cs.LG]Estimation with Uncertainty via Conditional Generative Adversarial Networks
    • [cs.LG]Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
    • [cs.LG]Gradient Methods Never Overfit On Separable Data
    • [cs.LG]Gradient Temporal-Difference Learning with Regularized Corrections
    • [cs.LG]Graph Neural Networks Including Sparse Interpretability
    • [cs.LG]Handling Variable-Dimensional Time Series with Graph Neural Networks
    • [cs.LG]HydroNets: Leveraging River Structure for Hydrologic Modeling
    • [cs.LG]Identifying Causal Effect Inference Failure with Uncertainty-Aware Models
    • [cs.LG]Interaction-limited Inverse Reinforcement Learning
    • [cs.LG]Linear Convergent Decentralized Optimization with Compression
    • [cs.LG]Measuring Robustness to Natural Distribution Shifts in Image Classification
    • [cs.LG]Multi-Task Variational Information Bottleneck
    • [cs.LG]Navigating the Dynamics of Financial Embeddings over Time
    • [cs.LG]Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications
    • [cs.LG]On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
    • [cs.LG]Online Robust Regression via SGD on the l1 loss
    • [cs.LG]Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings
    • [cs.LG]Regularly Updated Deterministic Policy Gradient Algorithm
    • [cs.LG]Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
    • [cs.LG]Semi-supervised Sequential Generative Models
    • [cs.LG]Sequential Unsupervised Domain Adaptation through Prototypical Distributions
    • [cs.LG]Similarity Search for Efficient Active Learning and Search of Rare Concepts
    • [cs.LG]Single Shot Structured Pruning Before Training
    • [cs.LG]Sparse Randomized Shortest Paths Routing with Tsallis Divergence Regularization
    • [cs.LG]Temporal Calibrated Regularization for Robust Noisy Label Learning
    • [cs.LG]TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
    • [cs.LG]UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
    • [cs.LG]Ultrahyperbolic Representation Learning
    • [cs.LG]Variable Selection via Thompson Sampling
    • [cs.LO]Reasoning with Contextual Knowledge and Influence Diagrams
    • [cs.NE]Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges
    • [cs.NE]Few-shots Parameter Tuning via Co-evolution
    • [cs.RO]Asynchronous Real-Time Optimization of Footstep Placement andTiming in Bipedal Walking Robots
    • [cs.RO]Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
    • [cs.RO]Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions
    • [cs.RO]Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning
    • [cs.RO]FlowControl: Optical Flow Based Visual Servoing
    • [cs.RO]Formalizing Traffic Rules for Machine Interpretability
    • [cs.RO]Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction
    • [cs.RO]LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
    • [cs.RO]Robust Multi-Agent Task Assignment in Failure-Prone and Adversarial Environments
    • [cs.RO]SLAM using ICP and graph optimization considering physical properties of environment
    • [cs.RO]Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
    • [cs.SI]Monitoring Depression Trend on Twitter during the COVID-19 Pandemic
    • [cs.SI]Predicting Customer Churn in World of Warcraft
    • [cs.SI]Pricing cyber insurance for a large-scale network
    • [econ.EM]Regression Discontinuity Design with Multivalued Treatments
    • [econ.GN]Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action
    • [eess.AS]A Transformer-based Audio Captioning Model with Keyword Estimation
    • [eess.AS]Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition
    • [eess.AS]The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation
    • [eess.AS]Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
    • [eess.IV]Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study
    • [eess.IV]End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network
    • [eess.IV]Low-light Image Restoration with Short- and Long-exposure Raw Pairs
    • [eess.SP]A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
    • [eess.SP]Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach
    • [eess.SP]Interference Distribution Prediction for Link Adaptation in Ultra-Reliable Low-Latency Communications
    • [eess.SP]Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries
    • [eess.SP]Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited Drones
    • [eess.SP]RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection
    • [eess.SY]Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic
    • [math.ST]Fréchet Sufficient Dimension Reduction for Random Objects
    • [math.ST]Inheritance of strong mixing and weak dependence under renewal sampling
    • [math.ST]Spectral methods for small sample time series: A complete periodogram approach
    • [math.ST]The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
    • [physics.comp-ph]Enhancing NEMD with automatic shear rate sampling to model viscosity and correction of systematic errors in modelling density: Application to linear and light branched alkanes
    • [physics.soc-ph]Emergence of polarized ideological opinions in multidimensional topic spaces
    • [physics.soc-ph]Weighted hypersoft configuration model
    • [q-bio.NC]Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes
    • [stat.AP]A spatial Poisson hurdle model with application to wildfires
    • [stat.AP]Computational Model for Urban Growth Using Socioeconomic Latent Parameters
    • [stat.AP]Levels and trends in the sex ratio at birth in seven provinces of Nepal between 1980 and 2016 with probabilistic projections to 2050: a Bayesian modeling approach
    • [stat.CO]Sequential Bayesian optimal experimental design for structural reliability analysis
    • [stat.ME]A Kernel-based Consensual Regression Aggregation Method
    • [stat.ME]A robust approach for ROC curves with covariates
    • [stat.ME]Causal inference and constructed measures: towards a new model of measurement for psychosocial constructs
    • [stat.ME]Data-driven Uncertainty Quantification for Systematic Coarse-grained Models
    • [stat.ME]Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals
    • [stat.ME]Generalized propensity score approach to causal inference with spatial interference
    • [stat.ME]Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems
    • [stat.ME]Independent Component Analysis for Compositional Data
    • [stat.ME]Modeling and Computation of High Efficiency and Efficacy Multi-Step Batch Testing for Infectious Diseases
    • [stat.ME]Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport
    • [stat.ME]Reconstructing regime-dependent causal relationships from observational time series
    • [stat.ME]Smooth Lasso Estimator for the Function-on-Function Linear Regression Model
    • [stat.ML]A New Basis for Sparse PCA
    • [stat.ML]Augmenting Continuous-Time Bayesian Networks with Clocks
    • [stat.ML]Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network
    • [stat.ML]Decentralised Learning with Random Features and Distributed Gradient Descent
    • [stat.ML]Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
    • [stat.ML]Fairness constraints can help exact inference in structured prediction
    • [stat.ML]Fundamental Limits of Adversarial Learning
    • [stat.ML]Learning an arbitrary mixture of two multinomial logits
    • [stat.ML]Partial Recovery in the Graph Alignment Problem
    • [stat.ML]The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration
    • [stat.ML]Unbiased Loss Functions for Extreme Classification With Missing Labels
    ·····································
    • [cond-mat.dis-nn]Circumventing spin glass traps by microcanonical spontaneous symmetry breaking
    Hai-Jun Zhou
    http://arxiv.org/abs/2007.00303v1
    • [cs.AI]A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
    Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha
    http://arxiv.org/abs/2007.00463v1
    • [cs.AI]Drug discovery with explainable artificial intelligence
    José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
    http://arxiv.org/abs/2007.00523v1
    • [cs.AI]Enforcing Almost-Sure Reachability in POMDPs
    Sebastian Junges, Nils Jansen, Sanjit A. Seshia
    http://arxiv.org/abs/2007.00085v1
    • [cs.AI]Medical idioms for clinical Bayesian network development
    Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman Fenton
    http://arxiv.org/abs/2007.00364v1
    • [cs.AI]Situation Calculus by Term Rewriting
    David A. Plaisted
    http://arxiv.org/abs/2007.00125v1
    • [cs.AI]Unifying Model Explainability and Robustness via Machine-Checkable Concepts
    Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
    http://arxiv.org/abs/2007.00251v1
    • [cs.AR]Efficient Communication Acceleration for Next-GenScale-up Deep Learning Training Platforms
    Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Matthew Denton, Tushar Krishna
    http://arxiv.org/abs/2007.00156v1
    • [cs.CL]Adversarial Mutual Information for Text Generation
    Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li
    http://arxiv.org/abs/2007.00067v1
    • [cs.CL]COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
    Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, David Liem, Ahmed Elsayed, Martha Palmer, Jasmine Rah, Cynthia Schneider, Boyan Onyshkevych
    http://arxiv.org/abs/2007.00576v1
    • [cs.CL]Iterative Paraphrastic Augmentation with Discriminative Span Alignment
    Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme
    http://arxiv.org/abs/2007.00320v1
    • [cs.CL]Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
    Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
    http://arxiv.org/abs/2007.00266v1
    • [cs.CL]Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
    Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
    http://arxiv.org/abs/2007.00229v1
    • [cs.CL]OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
    Sunipa Dev, Tao Li, Jeff M Phillips, Vivek Srikumar
    http://arxiv.org/abs/2007.00049v1
    • [cs.CL]SemEval-2020 Task 4: Commonsense Validation and Explanation
    Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
    http://arxiv.org/abs/2007.00236v1
    • [cs.CL]So What’s the Plan? Mining Strategic Planning Document
    Ekaterina Artemova, Tatiana Batura, Anna Golenkovskaya, Vitaly Ivanin, Vladimir Ivanov, Veronika Sarkisyan, Ivan Smurov, Elena Tutubalina
    http://arxiv.org/abs/2007.00257v1
    • [cs.CL]Transferability of Natural Language Inference to Biomedical Question Answering
    Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang
    http://arxiv.org/abs/2007.00217v1
    • [cs.CR]A Truly Self-Sovereign Identity System
    Quinten Stokkink, Dick Epema, Johan Pouwelse
    http://arxiv.org/abs/2007.00415v1
    • [cs.CR]Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities
    Noam Moscovich, Ron Bitton, Yakov Mallah, Masaki Inokuchi, Tomohiko Yagyu, Meir Kalech, Yuval Elovici, Asaf Shabtai
    http://arxiv.org/abs/2007.00059v1
    • [cs.CV]A Dataset for Evaluating Multi-spectral Motion Estimation Methods
    Weichen Dai, Yu Zhang, Shenzhou Chen, Donglei Sun, Da Kong
    http://arxiv.org/abs/2007.00622v1
    • [cs.CV]A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation
    Jun Ma, Dong Wang, Xiao-Ping Wang, Xiaoping Yang
    http://arxiv.org/abs/2007.00525v1
    • [cs.CV]Adversarial Open Set Domain Adaptation Based on Mutual Information
    Tasfia Shermin, Guojun Lu, Ferdous Sohel, Shyh Wei Teng, Manzur Murshed
    http://arxiv.org/abs/2007.00384v1
    • [cs.CV]Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
    Zhun Fan, Chong Li, Ying Chen, Jiahong Wei, Giuseppe Loprencipe, Xiaopeng Chen, Paola Di Mascio
    http://arxiv.org/abs/2007.00477v1
    • [cs.CV]BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
    Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
    http://arxiv.org/abs/2007.00243v1
    • [cs.CV]Data-driven Regularization via Racecar Training for Generalizing Neural Networks
    You Xie, Nils Thuerey
    http://arxiv.org/abs/2007.00024v1
    • [cs.CV]Deep Feature Space: A Geometrical Perspective
    Ioannis Kansizoglou, Loukas Bampis, Antonios Gasteratos
    http://arxiv.org/abs/2007.00062v1
    • [cs.CV]Deep Learning for Vision-based Prediction: A Survey
    Amir Rasouli
    http://arxiv.org/abs/2007.00095v1
    • [cs.CV]Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks
    Kishor Datta Gupta, Dipankar Dasgupta, Zahid Akhtar
    http://arxiv.org/abs/2007.00337v1
    • [cs.CV]DocVQA: A Dataset for VQA on Document Images
    Minesh Mathew, Dimosthenis Karatzas, R. Manmatha, C. V. Jawahar
    http://arxiv.org/abs/2007.00398v1
    • [cs.CV]Enhancing the Association in Multi-Object Tracking via Neighbor Graph
    Tianyi Liang, Long Lan, Zhigang Luo
    http://arxiv.org/abs/2007.00265v1
    • [cs.CV]Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction
    Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Moeller
    http://arxiv.org/abs/2007.00603v1
    • [cs.CV]FVV Live: A real-time free-viewpoint video system with consumer electronics hardware
    Pablo Carballeira, Carlos Carmona, César Díaz, Daniel Berjón, Daniel Corregidor, Julián Cabrera, Francisco Morán, Carmen Doblado, Sergio Arnaldo, María del Mar Martín, Narciso García
    http://arxiv.org/abs/2007.00558v1
    • [cs.CV]FathomNet: An underwater image training database for ocean exploration and discovery
    Océane Boulais, Ben Woodward, Brian Schlining, Lonny Lundsten, Kevin Barnard, Katy Croff Bell, Kakani Katija
    http://arxiv.org/abs/2007.00114v1
    • [cs.CV]Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval
    Siddhant Bansal, Praveen Krishnan, C. V. Jawahar
    http://arxiv.org/abs/2007.00166v1
    • [cs.CV]Future Urban Scenes Generation Through Vehicles Synthesis
    Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara
    http://arxiv.org/abs/2007.00323v1
    • [cs.CV]Generating Adversarial Examples with an Optimized Quality
    Aminollah Khormali, DaeHun Nyang, David Mohaisen
    http://arxiv.org/abs/2007.00146v1
    • [cs.CV]Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet
    Hao Chen, Abhinav Shrivastava
    http://arxiv.org/abs/2007.00649v1
    • [cs.CV]HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
    Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Do Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani
    http://arxiv.org/abs/2007.00584v1
    • [cs.CV]Is Robustness To Transformations Driven by Invariant Neural Representations?
    Syed Suleman Abbas Zaidi, Xavier Boix, Neeraj Prasad, Sharon Gilad-Gutnick, Shlomit Ben-Ami, Pawan Sinha
    http://arxiv.org/abs/2007.00112v1
    • [cs.CV]Learning unbiased zero-shot semantic segmentation networks via transductive transfer
    Haiyang Liu, Yichen Wang, Jiayi Zhao, Guowu Yang, Fengmao Lv
    http://arxiv.org/abs/2007.00515v1
    • [cs.CV]Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series
    Vivien Sainte Fare Garnot, Loic Landrieu
    http://arxiv.org/abs/2007.00586v1
    • [cs.CV]M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
    Karol Gotkowski, Camila Gonzalez, Andreas Bucher, Anirban Mukhopadhyay
    http://arxiv.org/abs/2007.00453v1
    • [cs.CV]Modality-Agnostic Attention Fusion for visual search with text feedback
    Eric Dodds, Jack Culpepper, Simao Herdade, Yang Zhang, Kofi Boakye
    http://arxiv.org/abs/2007.00145v1
    • [cs.CV]NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models
    Hui Li, Xiao-Jun Wu, Tariq Durrani
    http://arxiv.org/abs/2007.00328v1
    • [cs.CV]Object Goal Navigation using Goal-Oriented Semantic Exploration
    Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov
    http://arxiv.org/abs/2007.00643v1
    • [cs.CV]Online Domain Adaptation for Occupancy Mapping
    Anthony Tompkins, Ransalu Senanayake, Fabio Ramos
    http://arxiv.org/abs/2007.00164v1
    • [cs.CV]Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking
    Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, Tomasz Kryjak
    http://arxiv.org/abs/2007.00491v1
    • [cs.CV]Optimisation of the PointPillars network for 3D object detection in point clouds
    Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgon
    http://arxiv.org/abs/2007.00493v1
    • [cs.CV]Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
    Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel
    http://arxiv.org/abs/2007.00548v1
    • [cs.CV]Robust Semantic Segmentation in Adverse Weather Conditions by means of Fast Video-Sequence Segmentation
    Andreas Pfeuffer, Klaus Dietmayer
    http://arxiv.org/abs/2007.00290v1
    • [cs.CV]Robust navigation with tinyML for autonomous mini-vehicles
    Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini and, Nuria Pazos
    http://arxiv.org/abs/2007.00302v1
    • [cs.CV]Swapping Autoencoder for Deep Image Manipulation
    Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
    http://arxiv.org/abs/2007.00653v1
    • [cs.CV]The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
    Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez-Opazo, Hongdong Li, Stephen Gould
    http://arxiv.org/abs/2007.00394v1
    • [cs.CV]Towards Explainable Graph Representations in Digital Pathology
    Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodriguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani
    http://arxiv.org/abs/2007.00311v1
    • [cs.CV]Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
    Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli
    http://arxiv.org/abs/2007.00083v1
    • [cs.CY]De-anonymization of authors through arXiv submissions during double-blind review
    Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson
    http://arxiv.org/abs/2007.00177v1
    • [cs.CY]Evaluation of Fairness Trade-offs in Predicting Student Success
    Hansol Lee, René F. Kizilcec
    http://arxiv.org/abs/2007.00088v1
    • [cs.CY]Human Mobility during COVID-19 in the Context of Mild Social Distancing: Implications for Technological Interventions
    Myeong Lee, Seongkyu Lee, Seonghoon Kim, Noseong Park
    http://arxiv.org/abs/2006.16965v2
    • [cs.DC]Extending the OpenCHK Model with Advanced Checkpoint Features
    Marcos Maroñas, Sergi Mateo, Kai Keller, Leonardo Bautista-Gomez, Eduard Ayguadé, Vicenç Beltran
    http://arxiv.org/abs/2006.16616v2
    • [cs.DC]On the Distributed Construction of Stable Networks in Polylogarithmic Parallel Time
    Matthew Connor, Othon Michail, Paul Spirakis
    http://arxiv.org/abs/2007.00625v1
    • [cs.DC]Shuffle-Exchange Brings Faster: Reduce the Idle Time During Communication for Decentralized Neural Network Training
    Xiang Yang
    http://arxiv.org/abs/2007.00433v1
    • [cs.DC]The Hermes BFT for Blockchains
    Mohammad M. Jalalzai, Chen Feng, Costas Busch, Golden G. Richard III, Jianyu Niu
    http://arxiv.org/abs/2007.00186v1
    • [cs.DL]The Sci-hub Effect: Sci-hub downloads lead to more article citations
    J. C. Correa, H. Laverde-Rojas, F. Marmolejo-Ramos, J. Tejada, Š. Bahník
    http://arxiv.org/abs/2006.14979v2
    • [cs.GR]Deep Geometric Texture Synthesis
    Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
    http://arxiv.org/abs/2007.00074v1
    • [cs.GR]On Designing GPU Algorithms with Applications to Mesh Refinement
    Zhenghai Chen, Tiow-Seng Tan, Hong-Yang Ong
    http://arxiv.org/abs/2007.00324v1
    • [cs.IR]An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
    Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
    http://arxiv.org/abs/2007.00216v1
    • [cs.IR]Interactive Path Reasoning on Graph for Conversational Recommendation
    Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
    http://arxiv.org/abs/2007.00194v1
    • [cs.IR]Making Use of Affective Features from Media Content Metadata for Better Movie Recommendation Making
    John Kalung Leung, Igor Griva, William G. Kennedy
    http://arxiv.org/abs/2007.00636v1
    • [cs.IR]Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment
    Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Xue Jun Li, Kamal Chandra Paul, Peter H. J. Chong
    http://arxiv.org/abs/2007.00054v1
    • [cs.IR]Unsupervised Semantic Hashing with Pairwise Reconstruction
    Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
    http://arxiv.org/abs/2007.00380v1
    • [cs.IT]An Efficient Slow-Time Adaptation for Massive MIMO Hybrid Beamforming in mm-Wave Time-Varying Channels
    Anil Kurt, Gokhan Muzaffer Guvensen
    http://arxiv.org/abs/2007.00329v1
    • [cs.IT]Distributed Linearly Separable Computation
    Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
    http://arxiv.org/abs/2007.00345v1
    • [cs.IT]Index Coding in Vehicle to Vehicle Communication
    Jesy Pachat, Nujoom Sageer Karat, Deepthi P. P., B. Sundar Rajan
    http://arxiv.org/abs/2007.00559v1
    • [cs.IT]Multi-Layer Bilinear Generalized Approximate Message Passing
    Qiuyun Zou, Haochuan Zhang, Hongwen Yang
    http://arxiv.org/abs/2007.00436v1
    • [cs.IT]New Linear Codes as Quasi-Twisted Codes from Long Constacyclic Codes
    Nuh Aydin, Thomas Guidotti, Peihan Liu
    http://arxiv.org/abs/2007.00604v1
    • [cs.IT]On Exact Distribution of Poisson-Voronoi Area in $K$-tier HetNets with Generalized Association Rule
    Washim Uddin Mondal, Goutam Das
    http://arxiv.org/abs/2007.00287v1
    • [cs.IT]On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT
    Wanchun Liu, Girish Nair, Yonghui Li, Dragan Nesic, Branka Vucetic, H. Vincent Poor
    http://arxiv.org/abs/2007.00256v1
    • [cs.LG]A Novel Higher-order Weisfeiler-Lehman Graph Convolution
    Clemens Damke, Vitalik Melnikov, Eyke Hüllermeier
    http://arxiv.org/abs/2007.00346v1
    • [cs.LG]Adaptive Procedural Task Generation for Hard-Exploration Problems
    Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei
    http://arxiv.org/abs/2007.00350v1
    • [cs.LG]All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
    Rob Brekelmans, Vaden Masrani, Frank Wood, Greg Ver Steeg, Aram Galstyan
    http://arxiv.org/abs/2007.00642v1
    • [cs.LG]Belief Propagation Neural Networks
    Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon
    http://arxiv.org/abs/2007.00295v1
    • [cs.LG]Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation?
    Juanping Zhu, Hairong Gu
    http://arxiv.org/abs/2007.00373v1
    • [cs.LG]Causal Discovery in Physical Systems from Videos
    Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg
    http://arxiv.org/abs/2007.00631v1
    • [cs.LG]Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
    Timoth’ee Lesort
    http://arxiv.org/abs/2007.00487v1
    • [cs.LG]Continuous-Time Multi-Armed Bandits with Controlled Restarts
    Semih Cayci, Atilla Eryilmaz, R. Srikant
    http://arxiv.org/abs/2007.00081v1
    • [cs.LG]Convex Regularization in Monte-Carlo Tree Search
    Tuan Dam, Carlo D’Eramo, Jan Peters, Joni Pajarinen
    http://arxiv.org/abs/2007.00391v1
    • [cs.LG]Data Movement Is All You Need: A Case Study of Transformer Networks
    Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler
    http://arxiv.org/abs/2007.00072v1
    • [cs.LG]Debiased Contrastive Learning
    Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, Stefanie Jegelka
    http://arxiv.org/abs/2007.00224v1
    • [cs.LG]Developing cooperative policies for multi-stage tasks
    Jordan Erskine, Chris Lehnert
    http://arxiv.org/abs/2007.00203v1
    • [cs.LG]Dynamic Regret of Policy Optimization in Non-stationary Environments
    Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie
    http://arxiv.org/abs/2007.00148v1
    • [cs.LG]Early-Learning Regularization Prevents Memorization of Noisy Labels
    Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
    http://arxiv.org/abs/2007.00151v1
    • [cs.LG]Estimation with Uncertainty via Conditional Generative Adversarial Networks
    Minhyeok Lee, Junhee Seok
    http://arxiv.org/abs/2007.00334v1
    • [cs.LG]Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
    Hadi Pouransari, Oncel Tuzel
    http://arxiv.org/abs/2007.00051v1
    • [cs.LG]Gradient Methods Never Overfit On Separable Data
    Ohad Shamir
    http://arxiv.org/abs/2007.00028v1
    • [cs.LG]Gradient Temporal-Difference Learning with Regularized Corrections
    Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White
    http://arxiv.org/abs/2007.00611v1
    • [cs.LG]Graph Neural Networks Including Sparse Interpretability
    Chris Lin, Gerald J. Sun, Krishna C. Bulusu, Jonathan R. Dry, Marylens Hernandez
    http://arxiv.org/abs/2007.00119v1
    • [cs.LG]Handling Variable-Dimensional Time Series with Graph Neural Networks
    Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
    http://arxiv.org/abs/2007.00411v1
    • [cs.LG]HydroNets: Leveraging River Structure for Hydrologic Modeling
    Zach Moshe, Asher Metzger, Gal Elidan, Frederik Kratzert, Sella Nevo, Ran El-Yaniv
    http://arxiv.org/abs/2007.00595v1
    • [cs.LG]Identifying Causal Effect Inference Failure with Uncertainty-Aware Models
    Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal
    http://arxiv.org/abs/2007.00163v1
    • [cs.LG]Interaction-limited Inverse Reinforcement Learning
    Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher
    http://arxiv.org/abs/2007.00425v1
    • [cs.LG]Linear Convergent Decentralized Optimization with Compression
    Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
    http://arxiv.org/abs/2007.00232v1
    • [cs.LG]Measuring Robustness to Natural Distribution Shifts in Image Classification
    Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
    http://arxiv.org/abs/2007.00644v1
    • [cs.LG]Multi-Task Variational Information Bottleneck
    Weizhu Qian, Bowei Chen, Franck Gechter
    http://arxiv.org/abs/2007.00339v1
    • [cs.LG]Navigating the Dynamics of Financial Embeddings over Time
    Antonia Gogoglou, Brian Nguyen, Alan Salimov, Jonathan Rider, C. Bayan Bruss
    http://arxiv.org/abs/2007.00591v1
    • [cs.LG]Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications
    Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter
    http://arxiv.org/abs/2007.00147v1
    • [cs.LG]On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
    Scott Pesme, Aymeric Dieuleveut, Nicolas Flammarion
    http://arxiv.org/abs/2007.00534v1
    • [cs.LG]Online Robust Regression via SGD on the l1 loss
    Scott Pesme, Nicolas Flammarion
    http://arxiv.org/abs/2007.00399v1
    • [cs.LG]Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings
    Xiao-Yue Gong, David Simchi-Levi
    http://arxiv.org/abs/2007.00080v1
    • [cs.LG]Regularly Updated Deterministic Policy Gradient Algorithm
    Shuai Han, Wenbo Zhou, Shuai Lü, Jiayu Yu
    http://arxiv.org/abs/2007.00169v1
    • [cs.LG]Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
    Zhangjie Cao, Erdem Bıyık, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
    http://arxiv.org/abs/2007.00178v1
    • [cs.LG]Semi-supervised Sequential Generative Models
    Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood
    http://arxiv.org/abs/2007.00155v1
    • [cs.LG]Sequential Unsupervised Domain Adaptation through Prototypical Distributions
    Mohammad Rostami, Aram Galstyan
    http://arxiv.org/abs/2007.00197v1
    • [cs.LG]Similarity Search for Efficient Active Learning and Search of Rare Concepts
    Cody Coleman, Edward Chou, Sean Culatana, Peter Bailis, Alexander C. Berg, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz
    http://arxiv.org/abs/2007.00077v1
    • [cs.LG]Single Shot Structured Pruning Before Training
    Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas Lane, Yarin Gal
    http://arxiv.org/abs/2007.00389v1
    • [cs.LG]Sparse Randomized Shortest Paths Routing with Tsallis Divergence Regularization
    Pierre Leleux, Sylvain Courtain, Guillaume Guex, Marco Saerens
    http://arxiv.org/abs/2007.00419v1
    • [cs.LG]Temporal Calibrated Regularization for Robust Noisy Label Learning
    Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-tao Xia
    http://arxiv.org/abs/2007.00240v1
    • [cs.LG]TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
    So Yeon Min, Preethi Raghavan, Peter Szolovits
    http://arxiv.org/abs/2007.00271v1
    • [cs.LG]UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
    Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
    http://arxiv.org/abs/2007.00544v1
    • [cs.LG]Ultrahyperbolic Representation Learning
    Marc T. Law, Jos Stam
    http://arxiv.org/abs/2007.00211v1
    • [cs.LG]Variable Selection via Thompson Sampling
    Yi Liu, Veronika Rockova
    http://arxiv.org/abs/2007.00187v1
    • [cs.LO]Reasoning with Contextual Knowledge and Influence Diagrams
    Erman Acar, Rafael Peñaloza
    http://arxiv.org/abs/2007.00571v1
    • [cs.NE]Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges
    Ramses Sala, Ralf Müller
    http://arxiv.org/abs/2007.00541v1
    • [cs.NE]Few-shots Parameter Tuning via Co-evolution
    Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
    http://arxiv.org/abs/2007.00501v1
    • [cs.RO]Asynchronous Real-Time Optimization of Footstep Placement andTiming in Bipedal Walking Robots
    Digby Chappell, Ke Wang, Petar Kormushev
    http://arxiv.org/abs/2007.00385v1
    • [cs.RO]Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
    Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager
    http://arxiv.org/abs/2007.00161v1
    • [cs.RO]Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential Functions
    Michele Ginesi, Daniele Meli, Andrea Roberti, Nicola Sansonetto, Paolo Fiorini
    http://arxiv.org/abs/2007.00518v1
    • [cs.RO]Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning
    Trevor Ablett, Filip Marić, Jonathan Kelly
    http://arxiv.org/abs/2007.00245v1
    • [cs.RO]FlowControl: Optical Flow Based Visual Servoing
    Max Argus, Lukas Hermann, Jon Long, Thomas Brox
    http://arxiv.org/abs/2007.00291v1
    • [cs.RO]Formalizing Traffic Rules for Machine Interpretability
    Klemens Esterle, Luis Gressenbuch, Alois Knoll
    http://arxiv.org/abs/2007.00330v1
    • [cs.RO]Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction
    Zhe Huang, Aamir Hasan, Katherine Driggs-Campbell
    http://arxiv.org/abs/2007.00113v1
    • [cs.RO]LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
    Tixiao Shan, Brendan Englot, Drew Meyers, Wei Wang, Carlo Ratti, Daniela Rus
    http://arxiv.org/abs/2007.00258v1
    • [cs.RO]Robust Multi-Agent Task Assignment in Failure-Prone and Adversarial Environments
    Russell Schwartz, Pratap Tokekar
    http://arxiv.org/abs/2007.00100v1
    • [cs.RO]SLAM using ICP and graph optimization considering physical properties of environment
    Ryuki Suzuki, Ryosuke Kataoka, Yonghoon Ji, Hiromitsu Fujii, Hitoshi Kono, Kazunori Umeda
    http://arxiv.org/abs/2007.00483v1
    • [cs.RO]Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed
    Giovanni Sutanto, Katharina Rombach, Yevgen Chebotar, Zhe Su, Stefan Schaal, Gaurav S. Sukhatme, Franziska Meier
    http://arxiv.org/abs/2007.00450v1
    • [cs.SI]Monitoring Depression Trend on Twitter during the COVID-19 Pandemic
    Yipeng Zhang, Hanjia Lyu, Yubao Liu, Xiyang Zhang, Yu Wang, Jiebo Luo
    http://arxiv.org/abs/2007.00228v1
    • [cs.SI]Predicting Customer Churn in World of Warcraft
    Sulman Khan
    http://arxiv.org/abs/2006.15735v2
    • [cs.SI]Pricing cyber insurance for a large-scale network
    Lei Hua, Maochao Xu
    http://arxiv.org/abs/2007.00454v1
    • [econ.EM]Regression Discontinuity Design with Multivalued Treatments
    Carolina Caetano, Gregorio Caetano, Juan Carlos Escanciano
    http://arxiv.org/abs/2007.00185v1
    • [econ.GN]Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action
    Mostapha Kalami Heris, Shahryar Rahnamayan
    http://arxiv.org/abs/2007.00449v1
    • [eess.AS]A Transformer-based Audio Captioning Model with Keyword Estimation
    Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito
    http://arxiv.org/abs/2007.00222v1
    • [eess.AS]Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition
    Maarten Van Segbroeck, Harish Mallidih, Brian King, I-Fan Chen, Gurpreet Chadha, Roland Maas
    http://arxiv.org/abs/2007.00131v1
    • [eess.AS]The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation
    Yuma Koizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino
    http://arxiv.org/abs/2007.00225v1
    • [eess.AS]Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings
    Bowen Shi, Shane Settle, Karen Livescu
    http://arxiv.org/abs/2007.00183v1
    • [eess.IV]Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study
    Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, Ida Häggström, Erich Kobler, Yousef Mazaheri, Maggie M Fung, Zhigang Zhang, Ricardo Otazo, Herbert A. Vargas, Oguz Akin
    http://arxiv.org/abs/2007.00121v1
    • [eess.IV]End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network
    Jun Niu
    http://arxiv.org/abs/2007.00639v1
    • [eess.IV]Low-light Image Restoration with Short- and Long-exposure Raw Pairs
    Meng Chang, Huajun Feng, Zhihai Xu, Qi Li
    http://arxiv.org/abs/2007.00199v1
    • [eess.SP]A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
    Wonjun Ko, Eunjin Jeon, Heung-Il Suk
    http://arxiv.org/abs/2007.00162v1
    • [eess.SP]Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach
    Hengtao He, Rui Wang, Shi Jin, Chao-Kai Wen, Geoffrey
    2e4
    Ye Li
    http://arxiv.org/abs/2006.16628v2
    • [eess.SP]Interference Distribution Prediction for Link Adaptation in Ultra-Reliable Low-Latency Communications
    Alessandro Brighente, Jafar Mohammadi, Paolo Baracca
    http://arxiv.org/abs/2007.00306v1
    • [eess.SP]Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries
    Jay S. Stanley III, Eric C. Chi, Gal Mishne
    http://arxiv.org/abs/2007.00041v1
    • [eess.SP]Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited Drones
    Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini
    http://arxiv.org/abs/2007.00374v1
    • [eess.SP]RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection
    Kumar Pratik, Bhaskar D. Rao, Max Welling
    http://arxiv.org/abs/2007.00140v1
    • [eess.SY]Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic
    Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer
    http://arxiv.org/abs/2007.00550v1
    • [math.ST]Fréchet Sufficient Dimension Reduction for Random Objects
    Chao Ying, Zhou Yu
    http://arxiv.org/abs/2007.00292v1
    • [math.ST]Inheritance of strong mixing and weak dependence under renewal sampling
    Dirk-Philip Brandes, Imma Valentina Curato, Robert Stelzer
    http://arxiv.org/abs/2007.00574v1
    • [math.ST]Spectral methods for small sample time series: A complete periodogram approach
    Sourav Das, Suhasini Subba Rao, Junho Yang
    http://arxiv.org/abs/2007.00363v1
    • [math.ST]The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
    Hua Wang, Yachong Yang, Weijie J. Su
    http://arxiv.org/abs/2007.00566v1
    • [physics.comp-ph]Enhancing NEMD with automatic shear rate sampling to model viscosity and correction of systematic errors in modelling density: Application to linear and light branched alkanes
    Pavao Santak, Gareth Conduit
    http://arxiv.org/abs/2007.00499v1
    • [physics.soc-ph]Emergence of polarized ideological opinions in multidimensional topic spaces
    Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov, Michele Starnini
    http://arxiv.org/abs/2007.00601v1
    • [physics.soc-ph]Weighted hypersoft configuration model
    Ivan Voitalov, Pim van der Hoorn, Maksim Kitsak, Fragkiskos Papadopoulos, Dmitri Krioukov
    http://arxiv.org/abs/2007.00124v1
    • [q-bio.NC]Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes
    Juyang Weng
    http://arxiv.org/abs/2007.00001v1
    • [stat.AP]A spatial Poisson hurdle model with application to wildfires
    Justin A. Kasin, Ioannis Papastathopoulos
    http://arxiv.org/abs/2007.00137v1
    • [stat.AP]Computational Model for Urban Growth Using Socioeconomic Latent Parameters
    Piyush Yadav, Shamsuddin Ladha, Shailesh Deshpande, Edward Curry
    http://arxiv.org/abs/2007.00480v1
    • [stat.AP]Levels and trends in the sex ratio at birth in seven provinces of Nepal between 1980 and 2016 with probabilistic projections to 2050: a Bayesian modeling approach
    Fengqing Chao, Samir KC, Hernando Ombao
    http://arxiv.org/abs/2007.00437v1
    • [stat.CO]Sequential Bayesian optimal experimental design for structural reliability analysis
    Christian Agrell, Kristina Rognlien Dahl
    http://arxiv.org/abs/2007.00402v1
    • [stat.ME]A Kernel-based Consensual Regression Aggregation Method
    Sothea Has
    http://arxiv.org/abs/2007.00296v1
    • [stat.ME]A robust approach for ROC curves with covariates
    Ana M. Bianco, Graciela Boente, Wenceslao Gonzalez-Manteiga
    http://arxiv.org/abs/2007.00150v1
    • [stat.ME]Causal inference and constructed measures: towards a new model of measurement for psychosocial constructs
    Tyler J. VanderWeele
    http://arxiv.org/abs/2007.00520v1
    • [stat.ME]Data-driven Uncertainty Quantification for Systematic Coarse-grained Models
    Tangxin Jin, Anthony Chazirakis, Evangelia Kalligiannaki, Vagelis Harmandaris, Markos A. Katsoulakis
    http://arxiv.org/abs/2007.00340v1
    • [stat.ME]Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals
    Noam Finkelstein, Ilya Shpitser
    http://arxiv.org/abs/2007.00628v1
    • [stat.ME]Generalized propensity score approach to causal inference with spatial interference
    Andrew Giffin, Brian Reich, Shu Yang, Ana Rappold
    http://arxiv.org/abs/2007.00106v1
    • [stat.ME]Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems
    Konstantinos G. Papakonstantinou, Hamed Nikbakht
    http://arxiv.org/abs/2007.00180v1
    • [stat.ME]Independent Component Analysis for Compositional Data
    Christoph Muehlmann, Kamila Fačevicová, Alžběta Gardlo, Hana Janečková, Klaus Nordhausen
    http://arxiv.org/abs/2007.00456v1
    • [stat.ME]Modeling and Computation of High Efficiency and Efficacy Multi-Step Batch Testing for Infectious Diseases
    Hongshik Ahn, Haoran Jiang, Xiaolin Li
    http://arxiv.org/abs/2006.16079v2
    • [stat.ME]Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport
    Tin Lok James Ng, Andrew Zammit-Mangion
    http://arxiv.org/abs/2007.00248v1
    • [stat.ME]Reconstructing regime-dependent causal relationships from observational time series
    Elena Saggioro, Jana de Wiljes, Marlene Kretschmer, Jakob Runge
    http://arxiv.org/abs/2007.00267v1
    • [stat.ME]Smooth Lasso Estimator for the Function-on-Function Linear Regression Model
    Fabio Centofanti, Matteo Fontana, Antonio Lepore, Simone Vantini
    http://arxiv.org/abs/2007.00529v1
    • [stat.ML]A New Basis for Sparse PCA
    Fan Chen, Karl Rohe
    http://arxiv.org/abs/2007.00596v1
    • [stat.ML]Augmenting Continuous-Time Bayesian Networks with Clocks
    Nicolai Engelmann, Dominik Linzner, Heinz Koeppl
    http://arxiv.org/abs/2007.00347v1
    • [stat.ML]Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network
    Shankhyajyoti De, Arabin Kumar Dey, Deepak Gauda
    http://arxiv.org/abs/2007.00254v1
    • [stat.ML]Decentralised Learning with Random Features and Distributed Gradient Descent
    Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
    http://arxiv.org/abs/2007.00360v1
    • [stat.ML]Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
    Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu, Lingjiong Zhu
    http://arxiv.org/abs/2007.00590v1
    • [stat.ML]Fairness constraints can help exact inference in structured prediction
    Kevin Bello, Jean Honorio
    http://arxiv.org/abs/2007.00218v1
    • [stat.ML]Fundamental Limits of Adversarial Learning
    Kevin Bello, Qiuling Xu, Jean Honorio
    http://arxiv.org/abs/2007.00289v1
    • [stat.ML]Learning an arbitrary mixture of two multinomial logits
    Wenpin Tang
    http://arxiv.org/abs/2007.00204v1
    • [stat.ML]Partial Recovery in the Graph Alignment Problem
    Georgina Hall, Laurent Massoulié
    http://arxiv.org/abs/2007.00533v1
    • [stat.ML]The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration
    Alex Goeßmann, Gitta Kutyniok
    http://arxiv.org/abs/2007.00479v1
    • [stat.ML]Unbiased Loss Functions for Extreme Classification With Missing Labels
    Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta, Rohit Babbar
    http://arxiv.org/abs/2007.00237v1