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
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• [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