cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-fin.ST - 统计金融学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Thermodynamic Machine Learning through Maximum Work Production
    • [cs.AI]Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
    • [cs.AI]Empirically Verifying Hypotheses Using Reinforcement Learning
    • [cs.AI]End-Effect Exploration Drive for Effective Motor Learning
    • [cs.AI]On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
    • [cs.AI]Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
    • [cs.AI]Propagation for Dynamic Continuous Time Chain Event Graphs
    • [cs.AI]Revision by Conditionals: From Hook to Arrow
    • [cs.CE]Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
    • [cs.CE]Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
    • [cs.CG]Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots
    • [cs.CL]A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
    • [cs.CL]A Framework for Pre-processing of Social Media Feeds based on Integrated Local Knowledge Base
    • [cs.CL]A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
    • [cs.CL]Answering Questions on COVID-19 in Real-Time
    • [cs.CL]BERTology Meets Biology: Interpreting Attention in Protein Language Models
    • [cs.CL]BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
    • [cs.CL]Combine Convolution with Recurrent Networks for Text Classification
    • [cs.CL]Hinting Semantic Parsing with Statistical Word Sense Disambiguation
    • [cs.CL]Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models
    • [cs.CL]Is Japanese gendered language used on Twitter ? A large scale study
    • [cs.CL]Leveraging Subword Embeddings for Multinational Address Parsing
    • [cs.CL]Mapping Topic Evolution Across Poetic Traditions
    • [cs.CL]Measuring Memorization Effect in Word-Level Neural Networks Probing
    • [cs.CL]Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization
    • [cs.CL]Multichannel CNN with Attention for Text Classification
    • [cs.CL]Natural Backdoor Attack on Text Data
    • [cs.CL]Progressive Generation of Long Text
    • [cs.CL]Rethinking the Positional Encoding in Language Pre-training
    • [cs.CL]Self-Attention Networks for Intent Detection
    • [cs.CL]String-based methods for tonal harmony: A corpus study of Haydn’s string quartets
    • [cs.CL]Towards the Study of Morphological Processing of the Tangkhul Language
    • [cs.CL]Uncertainty-aware Self-training for Text Classification with Few Labels
    • [cs.CL]Video-Grounded Dialogues with Pretrained Generation Language Models
    • [cs.CL]Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa
    • [cs.CR]Privacy Risk and Preservation For COVID-19 Contact Tracing Apps
    • [cs.CR]Towards Learning-automation IoT Attack Detection through Reinforcement Learning
    • [cs.CV]1st Place Solution for Waymo Open Dataset Challenge — 3D Detection and Domain Adaptation
    • [cs.CV]1st Place Solutions for Waymo Open Dataset Challenges — 2D and 3D Tracking
    • [cs.CV]2nd Place Solution for Waymo Open Dataset Challenge — 2D Object Detection
    • [cs.CV]A Benchmark dataset for both underwater image enhancement and underwater object detection
    • [cs.CV]Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition
    • [cs.CV]Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
    • [cs.CV]Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People
    • [cs.CV]AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
    • [cs.CV]An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification
    • [cs.CV]Analogical Image Translation for Fog Generation
    • [cs.CV]Automated Stitching of Coral Reef Images and Extraction of Features for Damselfish Shoaling Behavior Analysis
    • [cs.CV]Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
    • [cs.CV]Bookworm continual learning: beyond zero-shot learning and continual learning
    • [cs.CV]Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
    • [cs.CV]Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
    • [cs.CV]Compositional Video Synthesis with Action Graphs
    • [cs.CV]Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
    • [cs.CV]Creating Artificial Modalities to Solve RGB Liveness
    • [cs.CV]DHARI Report to EPIC-Kitchens 2020 Object Detection Challenge
    • [cs.CV]Deep Sea Robotic Imaging Simulator for UUV Development
    • [cs.CV]DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge
    • [cs.CV]Dynamic Sampling Networks for Efficient Action Recognition in Videos
    • [cs.CV]EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition
    • [cs.CV]Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations
    • [cs.CV]Few-Shot Class-Incremental Learning via Feature Space Composition
    • [cs.CV]Forgery Detection in a Questioned Hyperspectral Document Image using K-means Clustering
    • [cs.CV]Frequency learning for image classification
    • [cs.CV]Geometry-Inspired Top-k Adversarial Perturbations
    • [cs.CV]GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
    • [cs.CV]Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
    • [cs.CV]Human Activity Recognition based on Dynamic Spatio-Temporal Relations
    • [cs.CV]Hybrid Tensor Decomposition in Neural Network Compression
    • [cs.CV]Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
    • [cs.CV]Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors
    • [cs.CV]Improving VQA and its Explanations \ by Comparing Competing Explanations
    • [cs.CV]Interactive Deep Refinement Network for Medical Image Segmentation
    • [cs.CV]Interpretable Deepfake Detection via Dynamic Prototypes
    • [cs.CV]Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
    • [cs.CV]Iris Recognition: Inherent Binomial Degrees of Freedom
    • [cs.CV]Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
    • [cs.CV]Layered Stereo by Cooperative Grouping with Occlusion
    • [cs.CV]Light Pose Calibration for Camera-light Vision Systems
    • [cs.CV]Localization Uncertainty Estimation for Anchor-Free Object Detection
    • [cs.CV]MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees
    • [cs.CV]Making DensePose fast and light
    • [cs.CV]MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
    • [cs.CV]MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
    • [cs.CV]Multi-Person Pose Regression via Pose Filtering and Scoring
    • [cs.CV]MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
    • [cs.CV]Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks
    • [cs.CV]On the generalization of learning-based 3D reconstruction
    • [cs.CV]PCLNet: A Practical Way for Unsupervised Deep PolSAR Representations and Few-Shot Classification
    • [cs.CV]Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
    • [cs.CV]Predictive and Generative Neural Networks for Object Functionality
    • [cs.CV]ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
    • [cs.CV]Region-of-interest guided Supervoxel Inpainting for Self-supervision
    • [cs.CV]Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
    • [cs.CV]SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy
    • [cs.CV]SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
    • [cs.CV]Self-Supervised MultiModal Versatile Networks
    • [cs.CV]Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data
    • [cs.CV]The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
    • [cs.CV]The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
    • [cs.CV]Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation
    • [cs.CV]Unsupervised Learning of Video Representations via Dense Trajectory Clustering
    • [cs.CV]Video Representation Learning with Visual Tempo Consistency
    • [cs.CV]Video Representations of Goals Emerge from Watching Failure
    • [cs.CV]Visual Kinship Recognition: A Decade in the Making
    • [cs.CY]A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar
    • [cs.CY]A method to calculate Great Britains half-hourly electrical demand from publicly available data
    • [cs.CY]An Analysis of Academic Performance of University Students in Namibia
    • [cs.CY]CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks
    • [cs.CY]Legal Risks of Adversarial Machine Learning Research
    • [cs.CY]Mapping the South African health landscape in response to COVID-19
    • [cs.CY]Passive Wi-Fi Monitoring in Public Transport: A case study in the Madeira Island
    • [cs.CY]Selling sex: what determines rates and popularity? An analysis of 11.5 thousand online profiles
    • [cs.DB]Differential Privacy of Hierarchical Census Data: An Optimization Approach
    • [cs.DC]A Blockchain-based Approach for Assessing Compliance with SLA-guaranteed IoT Services
    • [cs.DC]EdgeKV: Decentralized, scalable, and consistent storage for the edge
    • [cs.DC]Efficient 2D Tensor Network Simulation of Quantum Systems
    • [cs.DC]Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads
    • [cs.DC]High Performance Evaluation of Helmholtz Potentials usingthe Multi-Level Fast Multipole Algorithm
    • [cs.DC]Optimizing Cuckoo Filter for high burst tolerance,low latency, and high throughput
    • [cs.DC]PyTorch Distributed: Experiences on Accelerating Data Parallel Training
    • [cs.DC]Shared vs Private Randomness in Distributed Interactive Proofs
    • [cs.DC]Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale
    • [cs.DC]Smart Contract-based Computing ResourcesTrading in Edge Computing
    • [cs.DC]The Interblockchain Communication Protocol: An Overview
    • [cs.DL]Interdisciplinary research and technological impact
    • [cs.DS]Reconstructing Biological and Digital Phylogenetic Trees in Parallel
    • [cs.IR]Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
    • [cs.IR]Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
    • [cs.IR]Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation
    • [cs.IR]Multi-sided Exposure Bias in Recommendation
    • [cs.IR]RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
    • [cs.IR]TFNet: Multi-Semantic Feature Interaction for CTR Prediction
    • [cs.IT]A Comprehensive Performance Analysis for mm-Wave Massive MIMO Hybrid Beamforming under PA Nonlinearities
    • [cs.IT]Age of Information in Ultra-Dense IoT Systems: Performance and Mean-Field Game Analysis
    • [cs.IT]Communication and Computing Resource Optimization for Connected Autonomous Driving
    • [cs.IT]Energy-Efficient UAV Relaying Robust Resource Allocation in Uncertain Adversarial Networks
    • [cs.IT]Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
    • [cs.IT]Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks
    • [cs.IT]Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison
    • [cs.IT]Stochastic Geometry-based Analysis of LEO Satellite Communication Systems
    • [cs.IT]Super-resolution multi-reference alignment
    • [cs.LG]A Confidence-Calibrated MOBA Game Winner Predictor
    • [cs.LG]A Multilevel Approach to Training
    • [cs.LG]A No-Free-Lunch Theorem for MultiTask Learning
    • [cs.LG]Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
    • [cs.LG]Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia
    • [cs.LG]An Imitation Learning Approach for Cache Replacement
    • [cs.LG]Binary Random Projections with Controllable Sparsity Patterns
    • [cs.LG]Breathing $k$-Means
    • [cs.LG]Causal Explanations of Image Misclassifications
    • [cs.LG]Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks
    • [cs.LG]Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction
    • [cs.LG]Concept and the implementation of a tool to convert industry 4.0 environments modeled as FSM to an OpenAI Gym wrapper
    • [cs.LG]Decorrelated Clustering with Data Selection Bias
    • [cs.LG]Deep Bayesian Quadrature Policy Optimization
    • [cs.LG]Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
    • [cs.LG]Deep Ordinal Regression with Label Diversity
    • [cs.LG]Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
    • [cs.LG]Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation
    • [cs.LG]ESPN: Extremely Sparse Pruned Networks
    • [cs.LG]Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
    • [cs.LG]Evolving Metric Learning for Incremental and Decremental Features
    • [cs.LG]Exploring Optimal Control With Observations at a Cost
    • [cs.LG]Extracting Latent State Representations with Linear Dynamics from Rich Observations
    • [cs.LG]FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
    • [cs.LG]GPT-GNN: Generative Pre-Training of Graph Neural Networks
    • [cs.LG]Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
    • [cs.LG]Graph Convolutional Networks against Degree-Related Biases
    • [cs.LG]Harnessing Adversarial Distances to Discover High-Confidence Errors
    • [cs.LG]Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
    • [cs.LG]Interpreting and Disentangling Feature Components of Various Complexity from DNNs
    • [cs.LG]Iterative Machine Teaching without Teachers
    • [cs.LG]Kendall transformation
    • [cs.LG]Laplacian Regularized Few-Shot Learning
    • [cs.LG]Layer Sparsity in Neural Networks
    • [cs.LG]Learning Robot Skills with Temporal Variational Inference
    • [cs.LG]Local Neighbor Propagation Embedding
    • [cs.LG]Lookahead-Bounded Q-Learning
    • [cs.LG]Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
    • [cs.LG]Mixture of Discrete Normalizing Flows for Variational Inference
    • [cs.LG]Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
    • [cs.LG]Modeling Generalization in Machine Learning: A Methodological and Computational Study
    • [cs.LG]Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
    • [cs.LG]Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
    • [cs.LG]Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
    • [cs.LG]Neural Time Warping For Multiple Sequence Alignment
    • [cs.LG]Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
    • [cs.LG]Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
    • [cs.LG]Overfitting and Optimization in Offline Policy Learning
    • [cs.LG]Partitioned Least Squares
    • [cs.LG]Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
    • [cs.LG]Probabilistic Classification Vector Machine for Multi-Class Classification
    • [cs.LG]Reducing Risk of Model Inversion Using Privacy-Guided Training
    • [cs.LG]Retro: Learning Retrosynthetic Planning with Neural Guided A Search
    • [cs.LG]Robustifying Sequential Neural Processes
    • [cs.LG]Scalable Deep Generative Modeling for Sparse Graphs
    • [cs.LG]Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification
    • [cs.LG]Simplifying Models with Unlabeled Output Data
    • [cs.LG]Simulation and Optimisation of Air Conditioning Systems using Machine Learning
    • [cs.LG]SoftSort: A Continuous Relaxation for the argsort Operator
    • [cs.LG]Statistical-Query Lower Bounds via Functional Gradients
    • [cs.LG]Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
    • [cs.LG]Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
    • [cs.LG]Submodular Combinatorial Information Measures with Applications in Machine Learning
    • [cs.LG]Switchblade — a Neural Network for Hard 2D Tasks
    • [cs.LG]Traditional and accelerated gradient descent for neural architecture search
    • [cs.LG]Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
    • [cs.LG]True to the Model or True to the Data?
    • [cs.LG]Understanding Gradient Clipping in Private SGD: A Geometric Perspective
    • [cs.LG]VPNet: Variable Projection Networks
    • [cs.LG]Variational Autoencoding of PDE Inverse Problems
    • [cs.LG]When and How Can Deep Generative Models be Inverted?
    • [cs.MA]The Evolutionary Dynamics of Independent Learning Agents in Population Games
    • [cs.NE]Application of Neuroevolution in Autonomous Cars
    • [cs.NE]Solving MKP Applied to IoT in Smart Grid Using Meta-heuristics Algorithms: A Parallel Processing Perspective
    • [cs.NI]Intelligent Task Offloading for Heterogeneous V2X Communications
    • [cs.RO]Confidence-rich grid mapping
    • [cs.RO]I can attend a meeting too! Towards a human-like telepresence avatar robot to attend meeting on your behalf
    • [cs.RO]Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning
    • [cs.RO]MIMC-VINS: A Versatile and Resilient Multi-IMU Multi-Camera Visual-Inertial Navigation System
    • [cs.RO]Quaternion Feedback Based Autonomous Control of a Quadcopter UAV with Thrust Vectoring Rotors
    • [cs.RO]Spatiotemporal Calibration of Camera and 3D Laser Scanner
    • [cs.RO]Steer with Me: A Predictive, Potential Field-Based Control Approach for Semi-Autonomous, Teleoperated Road Vehicles
    • [cs.RO]Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
    • [cs.RO]To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer
    • [cs.RO]Towards hybrid primary intersubjectivity: a neural robotics library for human science
    • [cs.RO]Trust Aware Emergency Response for A Resilient Human-Swarm Cooperative System
    • [cs.RO]Using Reinforcement Learning to Herd a Robotic Swarm to a Target Distribution
    • [cs.RO]Using an Automated Heterogeneous Robotic System for Radiation Surveys
    • [cs.RO]Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
    • [cs.SD]Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams
    • [cs.SD]Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments
    • [cs.SE]Towards Causality Extraction from Requirements
    • [cs.SI]Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
    • [cs.SI]Community Structure aware Embedding of Nodes in a Network
    • [cs.SI]Joint Cyber Risk Assessment of Network Systems with Heterogeneous Components
    • [cs.SI]Mining Persistent Activity in Continually Evolving Networks
    • [cs.SI]Predicting Customer Churn in World of Warcraft
    • [cs.SI]Stay with Your Community: Bridges between Clusters Trigger Expansion of COVID-19
    • [cs.SI]You Shall not Pass: Avoiding Spurious Paths in Shortest-Path Based Centralities in Multidimensional Complex Networks
    • [eess.IV]A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images
    • [eess.IV]A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image
    • [eess.IV]Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer
    • [eess.IV]Chroma Intra Prediction with attention-based CNN architectures
    • [eess.IV]Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
    • [eess.IV]End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
    • [eess.IV]Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis
    • [eess.IV]Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis
    • [eess.IV]Generalizable Cone Beam CT Esophagus Segmentation Using In Silico Data Augmentation
    • [eess.IV]Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
    • [eess.IV]Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
    • [eess.IV]Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
    • [eess.IV]OpenDVC: An Open Source Implementation of the DVC Video Compression Method
    • [eess.IV]Shape from Projections via Differentiable Forward Projector
    • [eess.IV]Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning
    • [eess.IV]Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
    • [eess.SP]Joint Radar-Communication Waveform Design Based on Composite Modulation
    • [eess.SY]A convex data-driven approach for nonlinear control synthesis
    • [math.CO]A Fast Distributed Algorithm for $(Δ+ 1)$-Edge-Coloring
    • [math.DS]Generic Transformations Have Zero Lower Slow Entropy and Infinite Upper Slow Entropy
    • [math.OC]Non-Convex Exact Community Recovery in Stochastic Block Model
    • [math.PR]Higher-order fluctuations in dense random graph models
    • [math.PR]Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions
    • [math.ST]Central limit theorems for local network statistics
    • [math.ST]Likelihood Maximization and Moment Matching in Low SNR Gaussian Mixture Models
    • [math.ST]Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
    • [physics.comp-ph]GPU-Accelerated Discontinuous Galerkin Methods: 30x Speedup on 345 Billion Unknowns
    • [physics.med-ph]A Tool for Automatic Estimation of Patient Position in Spinal CT Data
    • [physics.soc-ph]Distributed consent and its impact on privacy and observability in social networks
    • [physics.soc-ph]Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
    • [q-bio.PE]Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems
    • [q-fin.ST]Improving MF-DFA model with applications in precious metals market
    • [stat.AP]A review of Bayesian perspectives on sample size derivation for confirmatory trials
    • [stat.AP]Impact of the adjustment of stratification factors on time-to-event analyses
    • [stat.AP]Modeling random and non-random decision uncertainty in ratings data: A fuzzy beta model
    • [stat.AP]The Hot Hand in Actual Game Situations
    • [stat.AP]Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic in England
    • [stat.ME]A Derivative Tracking Model for Wind Power Forecast Error
    • [stat.ME]A Distributionally Robust Optimization Approach to the NASA Langley Uncertainty Quantification Challenge
    • [stat.ME]A statistical test to reject the structural interpretation of a latent factor model
    • [stat.ME]Approximating Posterior Predictive Distributions by Averaging Output From Many Particle Filters
    • [stat.ME]Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
    • [stat.ME]Conditional separable effects
    • [stat.ME]Dual Control of Testing Errors in High-Dimensional Data Analysis
    • [stat.ME]Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach
    • [stat.ME]Evaluation of Causal Structure Learning Algorithms via Risk Estimation
    • [stat.ME]Improved Small Area Estimation via Compromise Regression Weights
    • [stat.ME]Learning Large $Q$-matrix by Restricted Boltzmann Machines
    • [stat.ME]Modeling and Computation of High Efficiency and Efficacy Multi-Step Batch Testing for Infectious Diseases
    • [stat.ME]Robust estimation for semi-functional linear regression models
    • [stat.ME]Survival trees for right-censored data based on score based parameter instability test
    • [stat.ME]Valid model-free spatial prediction
    • [stat.ME]Visualizing and comparing distributions with half-disk density strips
    • [stat.ML]$α$ Belief Propagation for Approximate Inference
    • [stat.ML]A General Machine Learning Framework for Survival Analysis
    • [stat.ML]Community detection and percolation of information in a geometric setting
    • [stat.ML]Constructing a Chain Event Graph from a Staged Tree
    • [stat.ML]Deep Involutive Generative Models for Neural MCMC
    • [stat.ML]For interpolating kernel machines, the minimum norm ERM solution is the most stable
    • [stat.ML]Gradient Based Memory Editing for Task-Free Continual Learning
    • [stat.ML]Learning Optimal Tree Models Under Beam Search
    • [stat.ML]On the Iteration Complexity of Hypergradient Computation
    • [stat.ML]Optimal Best-arm Identification in Linear Bandits
    • [stat.ML]Statistical Foundation of Variational Bayes Neural Networks
    • [stat.ML]Tensor Programs II: Neural Tangent Kernel for Any Architecture
    • [stat.ML]The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
    ·····································
    • [cond-mat.stat-mech]Thermodynamic Machine Learning through Maximum Work Production
    A. B. Boyd, J. P. Crutchfield, M. Gu
    http://arxiv.org/abs/2006.15416v1
    • [cs.AI]Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
    Yulong Gu, Yu Guan, Paolo Missior
    http://arxiv.org/abs/2006.16171v1
    • [cs.AI]Empirically Verifying Hypotheses Using Reinforcement Learning
    Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta
    http://arxiv.org/abs/2006.15762v1
    • [cs.AI]End-Effect Exploration Drive for Effective Motor Learning
    Emmanuel Daucé
    http://arxiv.org/abs/2006.15960v1
    • [cs.AI]On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
    Honghua Zhang, Steven Holtzen, Guy Van den Broeck
    http://arxiv.org/abs/2006.15233v1
    • [cs.AI]Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
    Adam Stooke, Valentin Dalibard, Siddhant M. Jayakumar, Wojciech M. Czarnecki, Max Jaderberg
    http://arxiv.org/abs/2006.15223v1
    • [cs.AI]Propagation for Dynamic Continuous Time Chain Event Graphs
    Aditi Shenvi, Jim Q. Smith
    http://arxiv.org/abs/2006.15865v1
    • [cs.AI]Revision by Conditionals: From Hook to Arrow
    Jake Chandler, Richard Booth
    http://arxiv.org/abs/2006.15811v1
    • [cs.CE]Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
    Liwei Wang, Siyu Tao, Ping Zhu, Wei Chen
    http://arxiv.org/abs/2006.15273v1
    • [cs.CE]Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
    Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen
    http://arxiv.org/abs/2006.15274v1
    • [cs.CG]Minimizing The Maximum Distance Traveled To Form Patterns With Systems of Mobile Robots
    Jared Coleman, Evangelos Kranakis, Oscar Morales-Ponce, Jaroslav Opatrny, Jorge Urrutia, Birgit Vogtenhuber
    http://arxiv.org/abs/2006.15664v1
    • [cs.CL]A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
    Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov
    http://arxiv.org/abs/2006.15454v1
    • [cs.CL]A Framework for Pre-processing of Social Media Feeds based on Integrated Local Knowledge Base
    Taiwo Kolajo, Olawande Daramola, Ayodele Adebiyi, Seth Aaditeshwar
    http://arxiv.org/abs/2006.15854v1
    • [cs.CL]A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
    Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche, Stéphane Dupont
    http://arxiv.org/abs/2006.15955v1
    • [cs.CL]Answering Questions on COVID-19 in Real-Time
    Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang
    http://arxiv.org/abs/2006.15830v1
    • [cs.CL]BERTology Meets Biology: Interpreting Attention in Protein Language Models
    Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
    http://arxiv.org/abs/2006.15222v1
    • [cs.CL]BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
    Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang
    http://arxiv.org/abs/2006.15509v1
    • [cs.CL]Combine Convolution with Recurrent Networks for Text Classification
    Shengfei Lyu, Jiaqi Liu
    http://arxiv.org/abs/2006.15795v1
    • [cs.CL]Hinting Semantic Parsing with Statistical Word Sense Disambiguation
    Ritwik Bose, Siddharth Vashishtha, James Allen
    http://arxiv.org/abs/2006.15942v1
    • [cs.CL]Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models
    Viet Bui The, Oanh Tran Thi, Phuong Le-Hong
    http://arxiv.org/abs/2006.15994v1
    • [cs.CL]Is Japanese gendered language used on Twitter ? A large scale study
    Tiziana Carpi, Stefano Maria Iacus
    http://arxiv.org/abs/2006.15935v1
    • [cs.CL]Leveraging Subword Embeddings for Multinational Address Parsing
    Marouane Yassine, David Beauchemin, François Laviolette, Luc Lamontagne
    http://arxiv.org/abs/2006.16152v1
    • [cs.CL]Mapping Topic Evolution Across Poetic Traditions
    Petr Plechac, Thomas N. Haider
    http://arxiv.org/abs/2006.15732v1
    • [cs.CL]Measuring Memorization Effect in Word-Level Neural Networks Probing
    Rudolf Rosa, Tomáš Musil, David Mareček
    http://arxiv.org/abs/2006.16082v1
    • [cs.CL]Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization
    Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang
    http://arxiv.org/abs/2006.15435v1
    • [cs.CL]Multichannel CNN with Attention for Text Classification
    Zhenyu Liu, Haiwei Huang, Chaohong Lu, Shengfei Lyu
    http://arxiv.org/abs/2006.16174v1
    • [cs.CL]Natural Backdoor Attack on Text Data
    Lichao Sun
    http://arxiv.org/abs/2006.16176v1
    • [cs.CL]Progressive Generation of Long Text
    Bowen Tan, Zichao Yang, Maruan AI-Shedivat, Eric P. Xing, Zhiting Hu
    http://arxiv.org/abs/2006.15720v1
    • [cs.CL]Rethinking the Positional Encoding in Language Pre-training
    Guolin Ke, Di He, Tie-Yan Liu
    http://arxiv.org/abs/2006.15595v1
    • [cs.CL]Self-Attention Networks for Intent Detection
    Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth
    http://arxiv.org/abs/2006.15585v1
    • [cs.CL]String-based methods for tonal harmony: A corpus study of Haydn’s string quartets
    David R. W. Sears
    http://arxiv.org/abs/2006.15411v1
    • [cs.CL]Towards the Study of Morphological Processing of the Tangkhul Language
    Mirinso Shadang, Navanath Saharia, Thoudam Doren Singh
    http://arxiv.org/abs/2006.16212v1
    • [cs.CL]Uncertainty-aware Self-training for Text Classification with Few Labels
    Subhabrata Mukherjee, Ahmed Hassan Awadallah
    http://arxiv.org/abs/2006.15315v1
    • [cs.CL]Video-Grounded Dialogues with Pretrained Generation Language Models
    Hung Le, Steven C. H. Hoi
    http://arxiv.org/abs/2006.15319v1
    • [cs.CL]Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa
    Katikapalli Subramanyam Kalyan, S. Sangeetha
    http://arxiv.org/abs/2006.16146v1
    • [cs.CR]Privacy Risk and Preservation For COVID-19 Contact Tracing Apps
    Dong Wang, Fang Liu
    http://arxiv.org/abs/2006.15433v1
    • [cs.CR]Towards Learning-automation IoT Attack Detection through Reinforcement Learning
    Tianbo Gu, Allaukik Abhishek, Hao Fu, Huanle Zhang, Debraj Basu, Prasant Mohapatra
    http://arxiv.org/abs/2006.15826v1
    • [cs.CV]1st Place Solution for Waymo Open Dataset Challenge — 3D Detection and Domain Adaptation
    Zhuangzhuang Ding, Yihan Hu, Runzhou Ge, Li Huang, Sijia Chen, Yu Wang, Jie Liao
    http://arxiv.org/abs/2006.15505v1
    • [cs.CV]1st Place Solutions for Waymo Open Dataset Challenges — 2D and 3D Tracking
    Yu Wang, Sijia Chen, Li Huang, Runzhou Ge, Yihan Hu, Zhuangzhuang Ding, Jie Liao
    http://arxiv.org/abs/2006.15506v1
    • [cs.CV]2nd Place Solution for Waymo Open Dataset Challenge — 2D Object Detection
    Sijia Chen, Yu Wang, Li Huang, Runzhou Ge, Yihan Hu, Zhuangzhuang Ding, Jie Liao
    http://arxiv.org/abs/2006.15507v1
    • [cs.CV]A Benchmark dataset for both underwater image enhancement and underwater object detection
    Long Chen, Lei Tong, Feixiang Zhou, Zheheng Jiang, Zhenyang Li, Jialin Lv, Junyu Dong, Huiyu Zhou
    http://arxiv.org/abs/2006.15789v1
    • [cs.CV]Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition
    Chunhua Jia, Wenhai Yi, Yu Wu, Hui Huang, Lei Zhang, Leilei Wu
    http://arxiv.org/abs/2006.15873v1
    • [cs.CV]Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
    Sheng-Jie Liu, Haowen Luo, Qian Shi
    http://arxiv.org/abs/2006.15771v1
    • [cs.CV]Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People
    Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
    http://arxiv.org/abs/2006.15940v1
    • [cs.CV]AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
    Maximilian Kraus, Seyed Majid Azimi, Emec Ercelik, Reza Bahmanyar, Peter Reinartz, Alois Knoll
    http://arxiv.org/abs/2006.15457v1
    • [cs.CV]An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification
    Xianglin Zheng, Zehong Cao, Quan Bai
    http://arxiv.org/abs/2006.15357v1
    • [cs.CV]Analogical Image Translation for Fog Generation
    Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool
    http://arxiv.org/abs/2006.15618v1
    • [cs.CV]Automated Stitching of Coral Reef Images and Extraction of Features for Damselfish Shoaling Behavior Analysis
    Riza Rae Pineda, Kristofer delas Peñas, Dana Manogan
    http://arxiv.org/abs/2006.15478v1
    • [cs.CV]Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
    Aidean Sharghi, Helene Haugerud, Daniel Oh, Omid Mohareri
    http://arxiv.org/abs/2006.16166v1
    • [cs.CV]Bookworm continual learning: beyond zero-shot learning and continual learning
    Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer
    http://arxiv.org/abs/2006.15176v1
    • [cs.CV]Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates
    Ke Sun, Zigang Geng, Depu Meng, Bin Xiao, Dong Liu, Zhaoxiang Zhang, Jingdong Wang
    http://arxiv.org/abs/2006.15480v1
    • [cs.CV]Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
    Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan Yuille
    http://arxiv.org/abs/2006.15538v1
    • [cs.CV]Compositional Video Synthesis with Action Graphs
    Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson
    http://arxiv.org/abs/2006.15327v1
    • [cs.CV]Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
    Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
    http://arxiv.org/abs/2006.15418v1
    • [cs.CV]Creating Artificial Modalities to Solve RGB Liveness
    Aleksandr Parkin, Oleg Grinchuk
    http://arxiv.org/abs/2006.16028v1
    • [cs.CV]DHARI Report to EPIC-Kitchens 2020 Object Detection Challenge
    Kaide Li, Bingyan Liao, Laifeng Hu, Yaonong Wang
    http://arxiv.org/abs/2006.15553v1
    • [cs.CV]Deep Sea Robotic Imaging Simulator for UUV Development
    Yifan Song, David Nakath, Mengkun She, Furkan Elibol, Kevin Köser
    http://arxiv.org/abs/2006.15398v1
    • [cs.CV]DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge
    Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao, Li Xiao
    http://arxiv.org/abs/2006.15528v1
    • [cs.CV]Dynamic Sampling Networks for Efficient Action Recognition in Videos
    Yin-Dong Zheng, Zhaoyang Liu, Tong Lu, Limin Wang
    http://arxiv.org/abs/2006.15560v1
    • [cs.CV]EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition
    James Ren Hou Lee, Linda Wang, Alexander Wong
    http://arxiv.org/abs/2006.15759v1
    • [cs.CV]Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations
    Gabriëlle Ras, Luca Ambrogioni, Pim Haselager, Marcel A. J. van Gerven, Umut Güçlü
    http://arxiv.org/abs/2006.15983v1
    • [cs.CV]Few-Shot Class-Incremental Learning via Feature Space Composition
    Hanbin Zhao, Yongjian Fu, Xuewei Li, Songyuan Li, Bourahla Omar, Xi Li
    http://arxiv.org/abs/2006.15524v1
    • [cs.CV]Forgery Detection in a Questioned Hyperspectral Document Image using K-means Clustering
    Maria Yaseen, Rammal Aftab Ahmed, Rimsha Mahrukh
    http://arxiv.org/abs/2006.16057v1
    • [cs.CV]Frequency learning for image classification
    José Augusto Stuchi, Levy Boccato, Romis Attux
    http://arxiv.org/abs/2006.15476v1
    • [cs.CV]Geometry-Inspired Top-k Adversarial Perturbations
    Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets
    http://arxiv.org/abs/2006.15669v1
    • [cs.CV]GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
    Tiziano Portenier, Siavash Bigdeli, Orçun Göksel
    http://arxiv.org/abs/2006.16112v1
    • [cs.CV]Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
    Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam Harrison
    http://arxiv.org/abs/2006.15691v1
    • [cs.CV]Human Activity Recognition based on Dynamic Spatio-Temporal Relations
    Zhenyu Liu, Yaqiang Yao, Yan Liu, Yuening Zhu, Zhenchao Tao, Lei Wang, Yuhong Feng
    http://arxiv.org/abs/2006.16132v1
    • [cs.CV]Hybrid Tensor Decomposition in Neural Network Compression
    Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li
    http://arxiv.org/abs/2006.15938v1
    • [cs.CV]Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
    Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
    http://arxiv.org/abs/2006.15919v1
    • [cs.CV]Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors
    Ruihan Zhang, Prashan Madumal, Tim Miller, Kris Ehinger, Benjamin Rubinstein
    http://arxiv.org/abs/2006.15417v1
    • [cs.CV]Improving VQA and its Explanations \ by Comparing Competing Explanations
    Jialin Wu, Liyan Chen, Raymond J. Mooney
    http://arxiv.org/abs/2006.15631v1
    • [cs.CV]Interactive Deep Refinement Network for Medical Image Segmentation
    Titinunt Kitrungrotsakul, Iwamoto Yutaro, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen
    http://arxiv.org/abs/2006.15320v1
    • [cs.CV]Interpretable Deepfake Detection via Dynamic Prototypes
    Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
    http://arxiv.org/abs/2006.15473v1
    • [cs.CV]Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
    Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Matthias Nießner, Andreas Geiger, Carsten Rother
    http://arxiv.org/abs/2006.16011v1
    • [cs.CV]Iris Recognition: Inherent Binomial Degrees of Freedom
    J. Michael Rozmus
    http://arxiv.org/abs/2006.16107v1
    • [cs.CV]Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
    Yujin Chen, Zhigang Tu, Di Kang, Ruizhi Chen, Linchao Bao, Zhengyou Zhang, Junsong Yuan
    http://arxiv.org/abs/2006.15561v1
    • [cs.CV]Layered Stereo by Cooperative Grouping with Occlusion
    Jialiang Wang, Todd Zickler
    http://arxiv.org/abs/2006.16094v1
    • [cs.CV]Light Pose Calibration for Camera-light Vision Systems
    Yifan Song, Furkan Elibol, Mengkun She, David Nakath, Kevin Köser
    http://arxiv.org/abs/2006.15389v1
    • [cs.CV]Localization Uncertainty Estimation for Anchor-Free Object Detection
    Youngwan Lee, Joong-won Hwang, Hyung-Il Kim, Kimin Yun, Joungyoul Park
    http://arxiv.org/abs/2006.15607v1
    • [cs.CV]MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees
    Rafael Brandt, Nicola Strisciuglio, Nicolai Petkov
    http://arxiv.org/abs/2006.15373v1
    • [cs.CV]Making DensePose fast and light
    Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev
    http://arxiv.org/abs/2006.15190v1
    • [cs.CV]MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
    Jun Liu, Qing Li, Rui Cao, Wenming Tang, Guoping Qiu
    http://arxiv.org/abs/2006.15350v1
    • [cs.CV]MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
    Xichuan Zhou, Yicong Peng, Chunqiao Long, Fengbo Ren, Cong Shi
    http://arxiv.org/abs/2006.16007v1
    • [cs.CV]Multi-Person Pose Regression via Pose Filtering and Scoring
    Huixin Miao, Junqi Lin, Junjie Cao
    http://arxiv.org/abs/2006.15576v1
    • [cs.CV]MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
    Xinzhe Luo, Xiahai Zhuang
    http://arxiv.org/abs/2006.15573v1
    • [cs.CV]Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks
    Brian Liu, Xianchao Xu, Yu Zhang
    http://arxiv.org/abs/2006.15619v1
    • [cs.CV]On the generalization of learning-based 3D reconstruction
    Miguel Angel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M Susskind
    http://arxiv.org/abs/2006.15427v1
    • [cs.CV]PCLNet: A Practical Way for Unsupervised Deep PolSAR Representations and Few-Shot Classification
    Lamei Zhang, Siyu Zhang, Bin Zou, Hongwei Dong
    http://arxiv.org/abs/2006.15351v1
    • [cs.CV]Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
    Jihun Yi, Sungroh Yoon
    http://arxiv.org/abs/2006.16067v1
    • [cs.CV]Predictive and Generative Neural Networks for Object Functionality
    Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang
    http://arxiv.org/abs/2006.15520v1
    • [cs.CV]ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
    Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo
    http://arxiv.org/abs/2006.15366v1
    • [cs.CV]Region-of-interest guided Supervoxel Inpainting for Self-supervision
    Subhradeep Kayal, Shuai Chen, Marleen de Bruijne
    http://arxiv.org/abs/2006.15186v1
    • [cs.CV]Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
    Benyamin Ghojogh, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2006.15736v1
    • [cs.CV]SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy
    Emanuele Dalsasso, Loïc Denis, Florence Tupin
    http://arxiv.org/abs/2006.15559v1
    • [cs.CV]SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
    Jingang Tan, Lili Chen, Kangru Wang, Jingquan Peng, Jiamao Li, Xiaolin Zhang
    http://arxiv.org/abs/2006.15015v1
    • [cs.CV]Self-Supervised MultiModal Versatile Networks
    Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelović, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
    http://arxiv.org/abs/2006.16228v1
    • [cs.CV]Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data
    Zhihao Liu, Hui Yin, Yang Mi, Mengyang Pu, Song Wang
    http://arxiv.org/abs/2006.15617v1
    • [cs.CV]The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
    Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2006.16242v1
    • [cs.CV]The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
    Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer
    http://arxiv.org/abs/2006.16241v1
    • [cs.CV]Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation
    Lazhar Khelifi, Max Mignotte
    http://arxiv.org/abs/2006.16177v1
    • [cs.CV]Unsupervised Learning of Video Representations via Dense Trajectory Clustering
    Pavel Tokmakov, Martial Hebert, Cordelia Schmid
    http://arxiv.org/abs/2006.15731v1
    • [cs.CV]Video Representation Learning with Visual Tempo Consistency
    Ceyuan Yang, Yinghao Xu, Bo Dai, Bolei Zhou
    http://arxiv.org/abs/2006.15489v1
    • [cs.CV]Video Representations of Goals Emerge from Watching Failure
    Dave Epstein, Carl Vondrick
    http://arxiv.org/abs/2006.15657v1
    • [cs.CV]Visual Kinship Recognition: A Decade in the Making
    Joseph P Robinson, Ming Shao, Yun Fu
    http://arxiv.org/abs/2006.16033v1
    • [cs.CY]A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar
    Amith Khandakar, Annaufal Rizqullah, Anas Ashraf Abdou Berbar, Mohammad Rafi Ahmed, Atif Iqbal, Muhammad E. H. Chowdhury, S. M. Ashfaq Uz Zaman
    http://arxiv.org/abs/2006.15428v1
    • [cs.CY]A method to calculate Great Britains half-hourly electrical demand from publicly available data
    IA Grant Wilson, Shivangi Sharma, Joseph Day, Noah Godfrey
    http://arxiv.org/abs/2006.15717v1
    • [cs.CY]An Analysis of Academic Performance of University Students in Namibia
    Nils Clausen
    http://arxiv.org/abs/2006.15179v1
    • [cs.CY]CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks
    Shehroze Farooqi, Maaz Musa, Zubair Shafiq, Fareed Zaffar
    http://arxiv.org/abs/2006.15794v1
    • [cs.CY]Legal Risks of Adversarial Machine Learning Research
    Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert
    http://arxiv.org/abs/2006.16179v1
    • [cs.CY]Mapping the South African health landscape in response to COVID-19
    Nompumelelo Mtsweni, Herkulaas MvE Combrink, Vukosi Marivate
    http://arxiv.org/abs/2006.15216v1
    • [cs.CY]Passive Wi-Fi Monitoring in Public Transport: A case study in the Madeira Island
    Miguel Ribeiro, Bernardo Galvão, Catia Prandi, Nuno Nunes
    http://arxiv.org/abs/2006.16083v1
    • [cs.CY]Selling sex: what determines rates and popularity? An analysis of 11.5 thousand online profiles
    Alicia Mergenthaler, Taha Yasseri
    http://arxiv.org/abs/2006.15648v1
    • [cs.DB]Differential Privacy of Hierarchical Census Data: An Optimization Approach
    Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu
    http://arxiv.org/abs/2006.15673v1
    • [cs.DC]A Blockchain-based Approach for Assessing Compliance with SLA-guaranteed IoT Services
    A. Alzubaidi, K. Mitra, P. Patel, E. Solaiman
    http://arxiv.org/abs/2006.15314v1
    • [cs.DC]EdgeKV: Decentralized, scalable, and consistent storage for the edge
    Karim Sonbol, Öznur Özkasap, Ibrahim Al-Oqily, Moayad Aloqaily
    http://arxiv.org/abs/2006.15594v1
    • [cs.DC]Efficient 2D Tensor Network Simulation of Quantum Systems
    Yuchen Pang, Tianyi Hao, Annika Dugad, Yiqing Zhou, Edgar Solomonik
    http://arxiv.org/abs/2006.15234v1
    • [cs.DC]Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads
    Vanderson Martins Do Rosario, Thais A. Silva Camacho, Otávio O. Napoli, Edson Borin
    http://arxiv.org/abs/2006.15481v1
    • [cs.DC]High Performance Evaluation of Helmholtz Potentials usingthe Multi-Level Fast Multipole Algorithm
    Michael P. Lingg, Stephen M. Hughey, Hasan Metin Aktulga, Balasubramaniam Shanker
    http://arxiv.org/abs/2006.15367v1
    • [cs.DC]Optimizing Cuckoo Filter for high burst tolerance,low latency, and high throughput
    Aman Khalid
    http://arxiv.org/abs/2006.15254v1
    • [cs.DC]PyTorch Distributed: Experiences on Accelerating Data Parallel Training
    Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala
    http://arxiv.org/abs/2006.15704v1
    • [cs.DC]Shared vs Private Randomness in Distributed Interactive Proofs
    Pedro Montealegre, Diego Ramírez-Romero, Ivan Rapaport
    http://arxiv.org/abs/2006.16191v1
    • [cs.DC]Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale
    Serge Plata, Sumanas Sarma, Melvin Lancelot, Kristine Bagrova, David Romano-Critchley
    http://arxiv.org/abs/2006.15213v1
    • [cs.DC]Smart Contract-based Computing ResourcesTrading in Edge Computing
    Jinyue Song, Tianbo Gu, Yunjie Ge, Prasant Mohapatra
    http://arxiv.org/abs/2006.15824v1
    • [cs.DC]The Interblockchain Communication Protocol: An Overview
    Christopher Goes
    http://arxiv.org/abs/2006.15918v1
    • [cs.DL]Interdisciplinary research and technological impact
    Qing Ke
    http://arxiv.org/abs/2006.15383v1
    • [cs.DS]Reconstructing Biological and Digital Phylogenetic Trees in Parallel
    Ramtin Afshar, Michael T. Goodrich, Pedro Matias, Martha C. Osegueda
    http://arxiv.org/abs/2006.15259v1
    • [cs.IR]Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
    Wenxuan Zhang, Yang Deng, Wai Lam
    http://arxiv.org/abs/2006.15599v1
    • [cs.IR]Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
    Anirban Chakraborty, Debasis Ganguly, Annalina Caputo, Gareth J. F. Jones
    http://arxiv.org/abs/2006.15679v1
    • [cs.IR]Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation
    Jing Zhu, Yanan Xu, Yanmin Zhu
    http://arxiv.org/abs/2006.15346v1
    • [cs.IR]Multi-sided Exposure Bias in Recommendation
    Himan Abdollahpouri, Masoud Mansoury
    http://arxiv.org/abs/2006.15772v1
    • [cs.IR]RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
    Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
    http://arxiv.org/abs/2006.15498v1
    • [cs.IR]TFNet: Multi-Semantic Feature Interaction for CTR Prediction
    Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang
    http://arxiv.org/abs/2006.15939v1
    • [cs.IT]A Comprehensive Performance Analysis for mm-Wave Massive MIMO Hybrid Beamforming under PA Nonlinearities
    Murat Babek Salman, Gokhan Muzaffer Guvensen
    http://arxiv.org/abs/2006.15930v1
    • [cs.IT]Age of Information in Ultra-Dense IoT Systems: Performance and Mean-Field Game Analysis
    Bo Zhou, Walid Saad
    http://arxiv.org/abs/2006.15756v1
    • [cs.IT]Communication and Computing Resource Optimization for Connected Autonomous Driving
    Kai Xiong, Supeng Leng, Xiaosha Chen, Chongwen Huang, Chau Yuen, Yong Liang Guan
    http://arxiv.org/abs/2006.15875v1
    • [cs.IT]Energy-Efficient UAV Relaying Robust Resource Allocation in Uncertain Adversarial Networks
    S. Ahmed, Mostafa Z. Chowdhury, S. R. Sabuj, Y. M. Jang
    http://arxiv.org/abs/2006.15728v1
    • [cs.IT]Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding
    Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li
    http://arxiv.org/abs/2006.15495v1
    • [cs.IT]Neural Combinatorial Deep Reinforcement Learning for Age-optimal Joint Trajectory and Scheduling Design in UAV-assisted Networks
    Aidin Ferdowsi, Mohamed A. Abd-Elmagid, Walid Saad, Harpreet S. Dhillon
    http://arxiv.org/abs/2006.15863v1
    • [cs.IT]Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison
    Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder
    http://arxiv.org/abs/2006.16015v1
    • [cs.IT]Stochastic Geometry-based Analysis of LEO Satellite Communication Systems
    Anna Talgat, Mustafa A. Kishk, Mohamed-Slim Alouini
    http://arxiv.org/abs/2006.15591v1
    • [cs.IT]Super-resolution multi-reference alignment
    Tamir Bendory, Ariel Jaffe, William Leeb, Nir Sharon, Amit Singer
    http://arxiv.org/abs/2006.15354v1
    • [cs.LG]A Confidence-Calibrated MOBA Game Winner Predictor
    Dong-Hee Kim, Changwoo Lee, Ki-Seok Chung
    http://arxiv.org/abs/2006.15521v1
    • [cs.LG]A Multilevel Approach to Training
    Vanessa Braglia, Alena Kopaničáková, Rolf Krause
    http://arxiv.org/abs/2006.15602v1
    • [cs.LG]A No-Free-Lunch Theorem for MultiTask Learning
    Steve Hanneke, Samory Kpotufe
    http://arxiv.org/abs/2006.15785v1
    • [cs.LG]Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
    Zhe Xu, Bo Wu, Daniel Neider, Ufuk Topcu
    http://arxiv.org/abs/2006.15714v1
    • [cs.LG]Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia
    Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama
    http://arxiv.org/abs/2006.15815v1
    • [cs.LG]An Imitation Learning Approach for Cache Replacement
    Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
    http://arxiv.org/abs/2006.16239v1
    • [cs.LG]Binary Random Projections with Controllable Sparsity Patterns
    Wenye Li, Shuzhong Zhang
    http://arxiv.org/abs/2006.16180v1
    • [cs.LG]Breathing $k$-Means
    Bernd Fritzke
    http://arxiv.org/abs/2006.15666v1
    • [cs.LG]Causal Explanations of Image Misclassifications
    Yan Min, Miles Bennett
    http://arxiv.org/abs/2006.15739v1
    • [cs.LG]Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks
    Waïss Azizian, Marc Lelarge
    http://arxiv.org/abs/2006.15646v1
    • [cs.LG]Cluster-Based Partitioning of Convolutional Neural Networks, A Solution for Computational Energy and Complexity Reduction
    Ali Mirzaeian, Masoud Pourreza, Mohammad Sabokrou, Ashkan Vakil$, Tinoosh Mohsenin, Houman Homayoun, Avesta Sasan
    http://arxiv.org/abs/2006.15799v1
    • [cs.LG]Concept and the implementation of a tool to convert industry 4.0 environments modeled as FSM to an OpenAI Gym wrapper
    Kallil M. C. Zielinski, Marcelo Teixeira, Richardson Ribeiro, Dalcimar Casanova
    http://arxiv.org/abs/2006.16035v1
    • [cs.LG]Decorrelated Clustering with Data Selection Bias
    Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
    http://arxiv.org/abs/2006.15874v1
    • [cs.LG]Deep Bayesian Quadrature Policy Optimization
    Akella Ravi Tej, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue
    http://arxiv.org/abs/2006.15637v1
    • [cs.LG]Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem
    Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann
    http://arxiv.org/abs/2006.15968v1
    • [cs.LG]Deep Ordinal Regression with Label Diversity
    Axel Berg, Magnus Oskarsson, Mark O’Connor
    http://arxiv.org/abs/2006.15864v1
    • [cs.LG]Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy
    Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao
    http://arxiv.org/abs/2006.15722v1
    • [cs.LG]Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation
    Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman
    http://arxiv.org/abs/2006.15166v1
    • [cs.LG]ESPN: Extremely Sparse Pruned Networks
    Minsu Cho, Ameya Joshi, Chinmay Hegde
    http://arxiv.org/abs/2006.15741v1
    • [cs.LG]Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
    Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
    http://arxiv.org/abs/2006.15779v1
    • [cs.LG]Evolving Metric Learning for Incremental and Decremental Features
    Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xiaowei Xu
    http://arxiv.org/abs/2006.15334v1
    • [cs.LG]Exploring Optimal Control With Observations at a Cost
    Rui Aguiar, Nikka Mofid, Hyunji Alex Nam
    http://arxiv.org/abs/2006.15757v1
    • [cs.LG]Extracting Latent State Representations with Linear Dynamics from Rich Observations
    Abraham Frandsen, Rong Ge
    http://arxiv.org/abs/2006.16128v1
    • [cs.LG]FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
    Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen
    http://arxiv.org/abs/2006.15632v1
    • [cs.LG]GPT-GNN: Generative Pre-Training of Graph Neural Networks
    Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun
    http://arxiv.org/abs/2006.15437v1
    • [cs.LG]Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
    Wenhui Yu, Zheng Qin
    http://arxiv.org/abs/2006.15516v1
    • [cs.LG]Graph Convolutional Networks against Degree-Related Biases
    Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu Aggarwal, Prasenjit Mitra, Suhang Wang
    http://arxiv.org/abs/2006.15643v1
    • [cs.LG]Harnessing Adversarial Distances to Discover High-Confidence Errors
    Walter Bennette, Karsten Maurer, Sean Sisti
    http://arxiv.org/abs/2006.16055v1
    • [cs.LG]Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
    Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma
    http://arxiv.org/abs/2006.15766v1
    • [cs.LG]Interpreting and Disentangling Feature Components of Various Complexity from DNNs
    Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang
    http://arxiv.org/abs/2006.15920v1
    • [cs.LG]Iterative Machine Teaching without Teachers
    Mingzhe Yang, Yukino Baba
    http://arxiv.org/abs/2006.15339v1
    • [cs.LG]Kendall transformation
    Miron Bartosz Kursa
    http://arxiv.org/abs/2006.15991v1
    • [cs.LG]Laplacian Regularized Few-Shot Learning
    Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
    http://arxiv.org/abs/2006.15486v1
    • [cs.LG]Layer Sparsity in Neural Networks
    Mohamed Hebiri, Johannes Lederer
    http://arxiv.org/abs/2006.15604v1
    • [cs.LG]Learning Robot Skills with Temporal Variational Inference
    Tanmay Shankar, Abhinav Gupta
    http://arxiv.org/abs/2006.16232v1
    • [cs.LG]Local Neighbor Propagation Embedding
    Shenglan Liu, Yang Yu
    http://arxiv.org/abs/2006.16009v1
    • [cs.LG]Lookahead-Bounded Q-Learning
    Ibrahim El Shar, Daniel R. Jiang
    http://arxiv.org/abs/2006.15690v1
    • [cs.LG]Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
    Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
    http://arxiv.org/abs/2006.15479v1
    • [cs.LG]Mixture of Discrete Normalizing Flows for Variational Inference
    Tomasz Kuśmierczyk, Arto Klami
    http://arxiv.org/abs/2006.15568v1
    • [cs.LG]Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
    Jianzhun Du, Joseph Futoma, Finale Doshi-Velez
    http://arxiv.org/abs/2006.16210v1
    • [cs.LG]Modeling Generalization in Machine Learning: A Methodological and Computational Study
    Pietro Barbiero, Giovanni Squillero, Alberto Tonda
    http://arxiv.org/abs/2006.15680v1
    • [cs.LG]Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
    Mikołaj Sacha, Mikołaj Błaż, Piotr Byrski, Paweł Włodarczyk-Pruszyński, Stanisław Jastrzębski
    http://arxiv.org/abs/2006.15426v1
    • [cs.LG]Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
    Ali Hebbal, Loic Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab
    http://arxiv.org/abs/2006.15924v1
    • [cs.LG]Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
    Ilias Diakonikolas, Daniel M. Kane, Nikos Zarifis
    http://arxiv.org/abs/2006.16200v1
    • [cs.LG]Neural Time Warping For Multiple Sequence Alignment
    Keisuke Kawano, Takuro Kutsuna, Satoshi Koide
    http://arxiv.org/abs/2006.15753v1
    • [cs.LG]Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
    Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer
    http://arxiv.org/abs/2006.16225v1
    • [cs.LG]Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
    Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová
    http://arxiv.org/abs/2006.15459v1
    • [cs.LG]Overfitting and Optimization in Offline Policy Learning
    David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
    http://arxiv.org/abs/2006.15368v1
    • [cs.LG]Partitioned Least Squares
    Roberto Esposito, Mattia Cerrato, Marco Locatelli
    http://arxiv.org/abs/2006.16202v1
    • [cs.LG]Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
    Emma Rocheteau, Pietro Liò, Stephanie Hyland
    http://arxiv.org/abs/2006.16109v1
    • [cs.LG]Probabilistic Classification Vector Machine for Multi-Class Classification
    Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
    http://arxiv.org/abs/2006.15791v1
    • [cs.LG]Reducing Risk of Model Inversion Using Privacy-Guided Training
    Abigail Goldsteen, Gilad Ezov, Ariel Farkash
    http://arxiv.org/abs/2006.15877v1
    • [cs.LG]Retro: Learning Retrosynthetic Planning with Neural Guided A Search
    Binghong Chen, Chengtao Li, Hanjun Dai, Le Song
    http://arxiv.org/abs/2006.15820v1
    • [cs.LG]Robustifying Sequential Neural Processes
    Jaesik Yoon, Gautam Singh, Sungjin Ahn
    http://arxiv.org/abs/2006.15987v1
    • [cs.LG]Scalable Deep Generative Modeling for Sparse Graphs
    Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans
    http://arxiv.org/abs/2006.15502v1
    • [cs.LG]Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification
    Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, Francois Petitjean
    http://arxiv.org/abs/2006.15311v1
    • [cs.LG]Simplifying Models with Unlabeled Output Data
    Sang Michael Xie, Tengyu Ma, Percy Liang
    http://arxiv.org/abs/2006.16205v1
    • [cs.LG]Simulation and Optimisation of Air Conditioning Systems using Machine Learning
    Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
    http://arxiv.org/abs/2006.15296v1
    • [cs.LG]SoftSort: A Continuous Relaxation for the argsort Operator
    Sebastian Prillo, Julian Martin Eisenschlos
    http://arxiv.org/abs/2006.16038v1
    • [cs.LG]Statistical-Query Lower Bounds via Functional Gradients
    Surbhi Goel, Aravind Gollakota, Adam Klivans
    http://arxiv.org/abs/2006.15812v1
    • [cs.LG]Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
    Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang
    http://arxiv.org/abs/2006.15284v1
    • [cs.LG]Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification
    Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha
    http://arxiv.org/abs/2006.15763v1
    • [cs.LG]Submodular Combinatorial Information Measures with Applications in Machine Learning
    Rishabh Iyer, Ninad Khargoankar, Jeff Bilmes, Himanshu Asanani
    http://arxiv.org/abs/2006.15412v1
    • [cs.LG]Switchblade — a Neural Network for Hard 2D Tasks
    Emīls Ozoliņš, Kārlis Freivalds, Agris Šostaks
    http://arxiv.org/abs/2006.15892v1
    • [cs.LG]Traditional and accelerated gradient descent for neural architecture search
    Nicolas Garcia Trillos, Felix Morales, Javier Morales
    http://arxiv.org/abs/2006.15218v1
    • [cs.LG]Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
    Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
    http://arxiv.org/abs/2006.16236v1
    • [cs.LG]True to the Model or True to the Data?
    Hugh Chen, Joseph D. Janizek, Scott Lundberg, Su-In Lee
    http://arxiv.org/abs/2006.16234v1
    • [cs.LG]Understanding Gradient Clipping in Private SGD: A Geometric Perspective
    Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
    http://arxiv.org/abs/2006.15429v1
    • [cs.LG]VPNet: Variable Projection Networks
    Péter Kovács, Gergő Bognár, Christian Huber, Mario Huemer
    http://arxiv.org/abs/2006.15590v1
    • [cs.LG]Variational Autoencoding of PDE Inverse Problems
    Daniel J. Tait, Theodoros Damoulas
    http://arxiv.org/abs/2006.15641v1
    • [cs.LG]When and How Can Deep Generative Models be Inverted?
    Aviad Aberdam, Dror Simon, Michael Elad
    http://arxiv.org/abs/2006.15555v1
    • [cs.MA]The Evolutionary Dynamics of Independent Learning Agents in Population Games
    Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh
    http://arxiv.org/abs/2006.16068v1
    • [cs.NE]Application of Neuroevolution in Autonomous Cars
    Sainath G, Vignesh S, Siddarth S, G Suganya
    http://arxiv.org/abs/2006.15175v1
    • [cs.NE]Solving MKP Applied to IoT in Smart Grid Using Meta-heuristics Algorithms: A Parallel Processing Perspective
    Jandre Albertyn, Ling Cheng, Adnan M. Abu-Mahfouz
    http://arxiv.org/abs/2006.15927v1
    • [cs.NI]Intelligent Task Offloading for Heterogeneous V2X Communications
    Kai Xiong, Supeng Leng, Chongwen Huang, Chau Yuen, Liang Guan
    http://arxiv.org/abs/2006.15855v1
    • [cs.RO]Confidence-rich grid mapping
    Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme
    http://arxiv.org/abs/2006.15754v1
    • [cs.RO]I can attend a meeting too! Towards a human-like telepresence avatar robot to attend meeting on your behalf
    Hrishav Bakul Barua, Chayan Sarkar, Achanna Anil Kumar, Arpan Pal, Balamuralidhar P
    http://arxiv.org/abs/2006.15647v1
    • [cs.RO]Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning
    Chao Huang, Rui Liu
    http://arxiv.org/abs/2006.15482v1
    • [cs.RO]MIMC-VINS: A Versatile and Resilient Multi-IMU Multi-Camera Visual-Inertial Navigation System
    Kevin Eckenhoff, Patrick Geneva, Guoquan Huang
    http://arxiv.org/abs/2006.15699v1
    • [cs.RO]Quaternion Feedback Based Autonomous Control of a Quadcopter UAV with Thrust Vectoring Rotors
    Rumit Kumar, Mahathi Bhargavapuri, Aditya M. Deshpande, Siddharth Sridhar, Kelly Cohen, Manish Kumar
    http://arxiv.org/abs/2006.15686v1
    • [cs.RO]Spatiotemporal Calibration of Camera and 3D Laser Scanner
    Michal R. Nowicki
    http://arxiv.org/abs/2006.16081v1
    • [cs.RO]Steer with Me: A Predictive, Potential Field-Based Control Approach for Semi-Autonomous, Teleoperated Road Vehicles
    Andreas Schimpe, Frank Diermeyer
    http://arxiv.org/abs/2006.15718v1
    • [cs.RO]Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
    Chaitanya Mitash, Rahul Shome, Bowen Wen, Abdeslam Boularias, Kostas Bekris
    http://arxiv.org/abs/2006.15503v1
    • [cs.RO]To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer
    Michael J. Sorocky, Siqi Zhou, Angela P. Schoellig
    http://arxiv.org/abs/2006.16126v1
    • [cs.RO]Towards hybrid primary intersubjectivity: a neural robotics library for human science
    Hendry F. Chame, Ahmadreza Ahmadi, Jun Tani
    http://arxiv.org/abs/2006.15948v1
    • [cs.RO]Trust Aware Emergency Response for A Resilient Human-Swarm Cooperative System
    Yijiang Pang, Rui Liu
    http://arxiv.org/abs/2006.15466v1
    • [cs.RO]Using Reinforcement Learning to Herd a Robotic Swarm to a Target Distribution
    Zahi M. Kakish, Karthik Elamvazhuthi, Spring Berman
    http://arxiv.org/abs/2006.15807v1
    • [cs.RO]Using an Automated Heterogeneous Robotic System for Radiation Surveys
    Petr Gabrlik, Tomas Lazna, Tomas Jilek, Petr Sladek, Ludek Zalud
    http://arxiv.org/abs/2006.16066v1
    • [cs.RO]Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
    Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick, Jean-François Tremblay, Florian Shkurti, David Meger, Gregory Dudek
    http://arxiv.org/abs/2006.16235v1
    • [cs.SD]Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams
    David R. W. Sears, Gerhard Widmer
    http://arxiv.org/abs/2006.15399v1
    • [cs.SD]Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments
    Mohammad Mohammadamini, Driss Matrouf
    http://arxiv.org/abs/2006.15903v1
    • [cs.SE]Towards Causality Extraction from Requirements
    Jannik Fischbach, Benedikt Hauptmann, Lukas Konwitschny, Dominik Spies, Andreas Vogelsang
    http://arxiv.org/abs/2006.15871v1
    • [cs.SI]Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
    Gianlorenzo D’Angelo, Debashmita Poddar, Cosimo Vinci
    http://arxiv.org/abs/2006.15374v1
    • [cs.SI]Community Structure aware Embedding of Nodes in a Network
    Swarup Chattopadhyay, Debasis Ganguly
    http://arxiv.org/abs/2006.15313v1
    • [cs.SI]Joint Cyber Risk Assessment of Network Systems with Heterogeneous Components
    Gaofeng Da, Maochao Xu, Jingshi Zhang, Peng Zhao
    http://arxiv.org/abs/2006.16092v1
    • [cs.SI]Mining Persistent Activity in Continually Evolving Networks
    Caleb Belth, Xinyi Zheng, Danai Koutra
    http://arxiv.org/abs/2006.15410v1
    • [cs.SI]Predicting Customer Churn in World of Warcraft
    Sulman Khan
    http://arxiv.org/abs/2006.15735v1
    • [cs.SI]Stay with Your Community: Bridges between Clusters Trigger Expansion of COVID-19
    Yukio Ohsawa, Masaharu Tsubokura
    http://arxiv.org/abs/2006.16047v1
    • [cs.SI]You Shall not Pass: Avoiding Spurious Paths in Shortest-Path Based Centralities in Multidimensional Complex Networks
    Klaus Wehmuth, Artur Ziviani, Leonardo Chinelate Costa, Ana Paula Couto da Silva, Alex Borges Vieira
    http://arxiv.org/abs/2006.15401v1
    • [eess.IV]A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images
    Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan, Roshan Godaliyadda, Parakrama Ekanayaka, Roshan Ragel, Vijitha Herath
    http://arxiv.org/abs/2006.15304v1
    • [eess.IV]A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image
    Xiaoguang Li, Peng Fu, Hongxia Yin, ZhenChang Wang, Li Zhuo, Hui Zhang
    http://arxiv.org/abs/2006.15588v1
    • [eess.IV]Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer
    Hajar Emami, Ming Dong, Carri K. Glide-Hurst
    http://arxiv.org/abs/2006.15264v1
    • [eess.IV]Chroma Intra Prediction with attention-based CNN architectures
    Marc Górriz, Saverio Blasi, Alan F. Smeaton, Noel E. O’Connor, Marta Mrak
    http://arxiv.org/abs/2006.15349v1
    • [eess.IV]Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
    Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
    http://arxiv.org/abs/2006.15271v1
    • [eess.IV]End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
    Jung Hee Kim, Siyeong Lee, Soyeon Jo, Suk-Ju Kang
    http://arxiv.org/abs/2006.15833v1
    • [eess.IV]Enhancement of a CNN-Based Denoiser Based on Spatial and Spectral Analysis
    Rui Zhao, Kin-Man Lam, Daniel P. K. Lun
    http://arxiv.org/abs/2006.15517v1
    • [eess.IV]Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis
    Siyu Liu, Wei Dai, Craig Engstrom, Jurgen Fripp, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S Chandra
    http://arxiv.org/abs/2006.15578v1
    • [eess.IV]Generalizable Cone Beam CT Esophagus Segmentation Using In Silico Data Augmentation
    Sadegh R Alam, Tianfang Li, Si-Yuan Zhang, Pengpeng Zhang, Saad Nadeem
    http://arxiv.org/abs/2006.15713v1
    • [eess.IV]Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
    Tony C. W. Mok, Albert C. S. Chung
    http://arxiv.org/abs/2006.16148v1
    • [eess.IV]Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
    Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun
    http://arxiv.org/abs/2006.15710v1
    • [eess.IV]Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
    Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin
    http://arxiv.org/abs/2006.15954v1
    • [eess.IV]OpenDVC: An Open Source Implementation of the DVC Video Compression Method
    Ren Yang, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2006.15862v1
    • [eess.IV]Shape from Projections via Differentiable Forward Projector
    Jakeoung Koo, Qiongyang Chen, J. Andreas Bærentzen, Anders B. Dahl, Vedrana A. Dahl
    http://arxiv.org/abs/2006.16120v1
    • [eess.IV]Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning
    Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin
    http://arxiv.org/abs/2006.15693v1
    • [eess.IV]Spatiotemporal Modeling of Seismic Images for Acoustic Impedance Estimation
    Ahmad Mustafa, Motaz Alfarraj, Ghassan AlRegib
    http://arxiv.org/abs/2006.15472v1
    • [eess.SP]Joint Radar-Communication Waveform Design Based on Composite Modulation
    Yuan Quan, Fulai Wang, Longfei Shi, Jiazhi Ma
    http://arxiv.org/abs/2006.16096v1
    • [eess.SY]A convex data-driven approach for nonlinear control synthesis
    Hyungjin Choi, Umesh Vaidya, Yongxin Chen
    http://arxiv.org/abs/2006.15477v1
    • [math.CO]A Fast Distributed Algorithm for $(Δ+ 1)$-Edge-Coloring
    Anton Bernshteyn
    http://arxiv.org/abs/2006.15703v1
    • [math.DS]Generic Transformations Have Zero Lower Slow Entropy and Infinite Upper Slow Entropy
    Terry Adams
    http://arxiv.org/abs/2006.15462v1
    • [math.OC]Non-Convex Exact Community Recovery in Stochastic Block Model
    Peng Wang, Zirui Zhou, Anthony Man-Cho So
    http://arxiv.org/abs/2006.15843v1
    • [math.PR]Higher-order fluctuations in dense random graph models
    Gursharn Kaur, Adrian Röllin
    http://arxiv.org/abs/2006.15805v1
    • [math.PR]Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions
    Jing Dong, Xin T. Tong
    http://arxiv.org/abs/2006.16193v1
    • [math.ST]Central limit theorems for local network statistics
    P-A. Maugis
    http://arxiv.org/abs/2006.15738v1
    • [math.ST]Likelihood Maximization and Moment Matching in Low SNR Gaussian Mixture Models
    Anya Katsevich, Afonso Bandeira
    http://arxiv.org/abs/2006.15202v1
    • [math.ST]Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion
    Muhammad Emzir, Sari Lasanen, Zenith Purisha, Lassi Roininen, Simo Särkkä
    http://arxiv.org/abs/2006.15634v1
    • [physics.comp-ph]GPU-Accelerated Discontinuous Galerkin Methods: 30x Speedup on 345 Billion Unknowns
    Andrew C. Kirby, Dimitri J. Mavriplis
    http://arxiv.org/abs/2006.15698v1
    • [physics.med-ph]A Tool for Automatic Estimation of Patient Position in Spinal CT Data
    Roman Jakubicek, Tomas Vicar, Jiri Chmelik
    http://arxiv.org/abs/2006.15330v1
    • [physics.soc-ph]Distributed consent and its impact on privacy and observability in social networks
    Juniper Lovato, Antoine Allard, Randall Harp, Laurent Hébert-Dufresne
    http://arxiv.org/abs/2006.16140v1
    • [physics.soc-ph]Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
    Samuel P. Fraiberger, Pablo Astudillo, Lorenzo Candeago, Alex Chunet, Nicholas K. W. Jones, Maham Faisal Khan, Bruno Lepri, Nancy Lozano Gracia, Lorenzo Lucchini, Emanuele Massaro, Aleister Montfort
    http://arxiv.org/abs/2006.15195v1
    • [q-bio.PE]Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems
    Matt Grove, James M. Borg, Fiona Polack
    http://arxiv.org/abs/2006.16204v1
    • [q-fin.ST]Improving MF-DFA model with applications in precious metals market
    Zhongjun Wang, Mengye Sun, A. M. Elsawah
    http://arxiv.org/abs/2006.15214v1
    • [stat.AP]A review of Bayesian perspectives on sample size derivation for confirmatory trials
    Kevin Kunzmann, Michael J. Grayling, Kim May Lee, David S. Robertson, Kaspar Rufibach, James M. S. Wason
    http://arxiv.org/abs/2006.15715v1
    • [stat.AP]Impact of the adjustment of stratification factors on time-to-event analyses
    Madan G. Kundu, Shoubhik Mondal
    http://arxiv.org/abs/2006.15283v1
    • [stat.AP]Modeling random and non-random decision uncertainty in ratings data: A fuzzy beta model
    Antonio Calcagnì, Luigi Lombardi
    http://arxiv.org/abs/2006.16051v1
    • [stat.AP]The Hot Hand in Actual Game Situations
    Konstantinos Pelechrinis, Wayne Winston
    http://arxiv.org/abs/2006.14609v2
    • [stat.AP]Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic in England
    Ritabrata Dutta, Susana Gomes, Dante Kalise, Lorenzo Pacchiardi
    http://arxiv.org/abs/2006.16059v1
    • [stat.ME]A Derivative Tracking Model for Wind Power Forecast Error
    Renzo Caballero, Ahmed Kebaier, Marco Scavino, Raúl Tempone
    http://arxiv.org/abs/2006.15907v1
    • [stat.ME]A Distributionally Robust Optimization Approach to the NASA Langley Uncertainty Quantification Challenge
    Yuanlu Bai, Zhiyuan Huang, Henry Lam
    http://arxiv.org/abs/2006.15689v1
    • [stat.ME]A statistical test to reject the structural interpretation of a latent factor model
    Tyler J. VanderWeele, Stijn Vansteelandt
    http://arxiv.org/abs/2006.15899v1
    • [stat.ME]Approximating Posterior Predictive Distributions by Averaging Output From Many Particle Filters
    Taylor R. Brown
    http://arxiv.org/abs/2006.15396v1
    • [stat.ME]Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
    Chenchen Ma, Jimmy de la Torre, Gongjun Xu
    http://arxiv.org/abs/2006.15409v1
    • [stat.ME]Conditional separable effects
    Mats J. Stensrud, James M. Robins, Aaron Sarvet, Eric J. Tchetgen Tchetgen, Jessica G. Young
    http://arxiv.org/abs/2006.15681v1
    • [stat.ME]Dual Control of Testing Errors in High-Dimensional Data Analysis
    X. Jessie Jeng, Yifei Hu
    http://arxiv.org/abs/2006.15667v1
    • [stat.ME]Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach
    Panos Toulis
    http://arxiv.org/abs/2006.16214v1
    • [stat.ME]Evaluation of Causal Structure Learning Algorithms via Risk Estimation
    Marco F. Eigenmann, Sach Mukherjee, Marloes H. Maathuis
    http://arxiv.org/abs/2006.15387v1
    • [stat.ME]Improved Small Area Estimation via Compromise Regression Weights
    Nicholas C. Henderson, Ravi Varadhan, Thomas A. Louis
    http://arxiv.org/abs/2006.15638v1
    • [stat.ME]Learning Large $Q$-matrix by Restricted Boltzmann Machines
    Chengcheng Li, Chenchen Ma, Gongjun Xu
    http://arxiv.org/abs/2006.15424v1
    • [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/2006.16079v1
    • [stat.ME]Robust estimation for semi-functional linear regression models
    Graciela Boente, Matias Salibian-Barrera, Pablo Vena
    http://arxiv.org/abs/2006.16156v1
    • [stat.ME]Survival trees for right-censored data based on score based parameter instability test
    Madan Gopal Kundu, Samiran Ghosh
    http://arxiv.org/abs/2006.15282v1
    • [stat.ME]Valid model-free spatial prediction
    Huiying Mao, Ryan Martin, Brian Reich
    http://arxiv.org/abs/2006.15640v1
    • [stat.ME]Visualizing and comparing distributions with half-disk density strips
    Carlo Romano Marcello Alessandro Santagiustina, Matteo Iacopini
    http://arxiv.org/abs/2006.16063v1
    • [stat.ML]$α$ Belief Propagation for Approximate Inference
    Dong Liu, Minh Thành Vu, Zuxing Li, Lars K. Rasmussen
    http://arxiv.org/abs/2006.15363v1
    • [stat.ML]A General Machine Learning Framework for Survival Analysis
    Andreas Bender, David Rügamer, Fabian Scheipl, Bernd Bischl
    http://arxiv.org/abs/2006.15442v1
    • [stat.ML]Community detection and percolation of information in a geometric setting
    Ronen Eldan, Dan Mikulincer, Hester Pieters
    http://arxiv.org/abs/2006.15574v1
    • [stat.ML]Constructing a Chain Event Graph from a Staged Tree
    Aditi Shenvi, Jim Q. Smith
    http://arxiv.org/abs/2006.15857v1
    • [stat.ML]Deep Involutive Generative Models for Neural MCMC
    Span Spanbauer, Cameron Freer, Vikash Mansinghka
    http://arxiv.org/abs/2006.15167v1
    • [stat.ML]For interpolating kernel machines, the minimum norm ERM solution is the most stable
    Akshay Rangamani, Lorenzo Rosasco, Tomaso Poggio
    http://arxiv.org/abs/2006.15522v1
    • [stat.ML]Gradient Based Memory Editing for Task-Free Continual Learning
    Xisen Jin, Junyi Du, Xiang Ren
    http://arxiv.org/abs/2006.15294v1
    • [stat.ML]Learning Optimal Tree Models Under Beam Search
    Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
    http://arxiv.org/abs/2006.15408v1
    • [stat.ML]On the Iteration Complexity of Hypergradient Computation
    Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
    http://arxiv.org/abs/2006.16218v1
    • [stat.ML]Optimal Best-arm Identification in Linear Bandits
    Yassir Jedra, Alexandre Proutiere
    http://arxiv.org/abs/2006.16073v1
    • [stat.ML]Statistical Foundation of Variational Bayes Neural Networks
    Shrijita Bhattacharya, Tapabrata Maiti
    http://arxiv.org/abs/2006.15786v1
    • [stat.ML]Tensor Programs II: Neural Tangent Kernel for Any Architecture
    Greg Yang
    http://arxiv.org/abs/2006.14548v2
    • [stat.ML]The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
    Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu
    http://arxiv.org/abs/2006.15419v1