cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math-ph - 数学物理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Automated Intersection Management with MiniZinc
    • [cs.AI]Automated Large-scale Class Scheduling in MiniZinc
    • [cs.AI]Declarative Approaches to Counterfactual Explanations for Classification
    • [cs.AI]Fact Checking via Path Embedding and Aggregation
    • [cs.AI]Generating Negative Commonsense Knowledge
    • [cs.AI]Measuring agreement on linguistic expressions in medical treatment scenarios
    • [cs.AI]Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing
    • [cs.AI]Solving Physics Puzzles by Reasoning about Paths
    • [cs.AI]Tucker decomposition-based Temporal Knowledge Graph Completion
    • [cs.CL]”What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence
    • [cs.CL]ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments
    • [cs.CL]Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
    • [cs.CL]CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection
    • [cs.CL]Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness
    • [cs.CL]Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration
    • [cs.CL]DORB: Dynamically Optimizing Multiple Rewards with Bandits
    • [cs.CL]Datasets and Models for Authorship Attribution on Italian Personal Writings
    • [cs.CL]DebateSum: A large-scale argument mining and summarization dataset
    • [cs.CL]Deep Shallow Fusion for RNN-T Personalization
    • [cs.CL]Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts
    • [cs.CL]IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
    • [cs.CL]IITkgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports
    • [cs.CL]Iterative Self-Learning for Enhanced Back-Translation in Low Resource Neural Machine Translation
    • [cs.CL]Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling
    • [cs.CL]Learning from Task Descriptions
    • [cs.CL]Lessons from Computational Modelling of Reference Production in Mandarin and English
    • [cs.CL]Meaningful Answer Generation of E-Commerce Question-Answering
    • [cs.CL]Morphologically Aware Word-Level Translation
    • [cs.CL]Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty
    • [cs.CL]Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions
    • [cs.CL]Sentiment Analysis for Sinhala Language using Deep Learning Techniques
    • [cs.CL]Target Guided Emotion Aware Chat Machine
    • [cs.CL]Text Information Aggregation with Centrality Attention
    • [cs.CL]The Challenge of Diacritics in Yoruba Embeddings
    • [cs.CL]The Person Index Challenge: Extraction of Persons from Messy, Short Texts
    • [cs.CL]The Teacher-Student Chatroom Corpus
    • [cs.CL]Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
    • [cs.CL]WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
    • [cs.CL]Words are the Window to the Soul: Language-based User Representations for Fake News Detection
    • [cs.CL]Zero-shot Learning for Relation Extraction
    • [cs.CR]HackerScope: The Dynamics of a Massive Hacker Online Ecosystem
    • [cs.CR]Improved hierarchical role based access control model for cloud computing
    • [cs.CR]PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation
    • [cs.CR]TenFor: A Tensor-Based Tool to Extract Interesting Events from Security Forums
    • [cs.CR]Towards Compliant Data Management Systems for Healthcare ML
    • [cs.CV]Accounting for Affect in Pain Level Recognition
    • [cs.CV]ActBERT: Learning Global-Local Video-Text Representations
    • [cs.CV]AmphibianDetector: adaptive computation for moving objects detection
    • [cs.CV]An Autonomous Approach to Measure Social Distances and Hygienic Practices during COVID-19 Pandemic in Public Open Spaces
    • [cs.CV]An End-to-end Method for Producing Scanning-robust Stylized QR Codes
    • [cs.CV]Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
    • [cs.CV]Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code
    • [cs.CV]Audio-Visual Event Recognition through the lens of Adversary
    • [cs.CV]Automatic classification of multiple catheters in neonatal radiographs with deep learning
    • [cs.CV]BanglaWriting: A multi-purpose offline Bangla handwriting dataset
    • [cs.CV]CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
    • [cs.CV]Cinematic-L1 Video Stabilization with a Log-Homography Model
    • [cs.CV]Combining GANs and AutoEncoders for Efficient Anomaly Detection
    • [cs.CV]Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
    • [cs.CV]Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
    • [cs.CV]DARE: AI-based Diver Action Recognition System using Multi-Channel CNNs for AUV Supervision
    • [cs.CV]DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection
    • [cs.CV]Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
    • [cs.CV]Decoupling Representation and Classifier for Noisy Label Learning
    • [cs.CV]Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
    • [cs.CV]Deep multi-modal networks for book genre classification based on its cover
    • [cs.CV]Direct Classification of Emotional Intensity
    • [cs.CV]Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
    • [cs.CV]Domain-Invariant Representation Learning for Sim-to-Real Transfer
    • [cs.CV]Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios
    • [cs.CV]Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
    • [cs.CV]Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers
    • [cs.CV]Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks
    • [cs.CV]FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving
    • [cs.CV]Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution
    • [cs.CV]Gram Regularization for Multi-view 3D Shape Retrieval
    • [cs.CV]Hierarchical Complementary Learning for Weakly Supervised Object Localization
    • [cs.CV]High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
    • [cs.CV]JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition
    • [cs.CV]LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
    • [cs.CV]Learn an Effective Lip Reading Model without Pains
    • [cs.CV]Manual-Label Free 3D Detection via An Open-Source Simulator
    • [cs.CV]Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization
    • [cs.CV]OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery
    • [cs.CV]On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
    • [cs.CV]Online Ensemble Model Compression using Knowledge Distillation
    • [cs.CV]Online Monitoring of Object Detection Performance Post-Deployment
    • [cs.CV]Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion
    • [cs.CV]Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
    • [cs.CV]Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition
    • [cs.CV]Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning
    • [cs.CV]Recovering and Simulating Pedestrians in the Wild
    • [cs.CV]Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network
    • [cs.CV]Scaled-YOLOv4: Scaling Cross Stage Partial Network
    • [cs.CV]Speech Prediction in Silent Videos using Variational Autoencoders
    • [cs.CV]Stable View Synthesis
    • [cs.CV]Stylized Neural Painting
    • [cs.CV]TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks
    • [cs.CV]Towards Trainable Saliency Maps in Medical Imaging
    • [cs.CV]Towards Zero-Shot Learning with Fewer Seen Class Examples
    • [cs.CV]Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
    • [cs.CV]Zero Cost Improvements for General Object Detection Network
    • [cs.CV]hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras
    • [cs.CV]iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering
    • [cs.CY]A Survey of Requirements for COVID-19 Mitigation Strategies. Part I: Newspaper Clips
    • [cs.CY]Ambient heat and human sleep
    • [cs.CY]Do Cyber Capabilities and Cyber Power Incentivize International Cooperation?
    • [cs.CY]Good proctor or “Big Brother”? AI Ethics and Online Exam Supervision Technologies
    • [cs.CY]Rethinking the Role of Technology in Virtual Teams in Light of COVID-19
    • [cs.CY]Software must be recognised as an important output of scholarly research
    • [cs.CY]Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
    • [cs.DC]Crowdsharing Wireless Energy Services
    • [cs.DC]Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network
    • [cs.DC]Recoverable, Abortable, and Adaptive Mutual Exclusion with Sublogarithmic RMR Complexity
    • [cs.DC]Secured Distributed Algorithms without Hardness Assumptions
    • [cs.DC]Tight Distributed Listing of Cliques
    • [cs.DC]Time and Space Optimal Exact Majority Population Protocols
    • [cs.DC]Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
    • [cs.DC]Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
    • [cs.DS]Data-driven Algorithm Design
    • [cs.HC]Conversational agents for learning foreign languages — a survey
    • [cs.HC]Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science
    • [cs.IR]Analyzing ‘Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval
    • [cs.IR]CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
    • [cs.IR]Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
    • [cs.IR]Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents
    • [cs.IR]Providing More Efficient Access To Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege
    • [cs.IR]RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data
    • [cs.IR]SamWalker++: recommendation with informative sampling strategy
    • [cs.IR]User-based Network Embedding for Collective Opinion Spammer Detection
    • [cs.IT]Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive Access
    • [cs.IT]Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems
    • [cs.IT]Energy-Efficient Resource Allocation in UAV-Enabled Detection and Communication Systems
    • [cs.IT]FDD Massive MIMO — Antenna Duplex Pattern an-Reciprocity : A Missing Brick
    • [cs.IT]FedRec: Federated Learning of Universal Receivers over Fading Channels
    • [cs.IT]Grant-Free Opportunistic Uplink Transmission in Wireless-powered IoT: A Spatio-temporal Model
    • [cs.IT]Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration
    • [cs.IT]Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform File Popularity
    • [cs.IT]Nonuniform Quantized Decoder for Polar Codes with Minimum Distortion Quantizer
    • [cs.IT]On the performance of downlink NOMA in underlay spectrum sharing
    • [cs.IT]Parameters of Combinatorial Neural Codes
    • [cs.IT]Performance Analysis and Optimization of a UAV-Enabled Two-Way Relaying Network under FSMH, NC, and PNC Schemes
    • [cs.IT]Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
    • [cs.IT]Throughput maximization in a UAV-enabled Two-way Relaying System with Multi-pair Users
    • [cs.IT]Unified Composite Distribution and Its Applications to Double Shadowed $α-κ-μ$ Fading Channels
    • [cs.LG]2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments
    • [cs.LG]A Geometric Perspective on Self-Supervised Policy Adaptation
    • [cs.LG]A Large-Scale Database for Graph Representation Learning
    • [cs.LG]A Survey on the Explainability of Supervised Machine Learning
    • [cs.LG]A Theoretical Perspective on Differentially Private Federated Multi-task Learning
    • [cs.LG]Adaptive Matching of Kernel Means
    • [cs.LG]CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
    • [cs.LG]Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19
    • [cs.LG]Cluster-Specific Predictions with Multi-Task Gaussian Processes
    • [cs.LG]Coresets for Robust Training of Neural Networks against Noisy Labels
    • [cs.LG]Corrupted Contextual Bandits with Action Order Constraints
    • [cs.LG]Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening
    • [cs.LG]DART: aDaptive Accept RejecT for non-linear top-K subset identification
    • [cs.LG]Debiasing Convolutional Neural Networks via Meta Orthogonalization
    • [cs.LG]Discovering long term dependencies in noisy time series data using deep learning
    • [cs.LG]Dynamic backdoor attacks against federated learning
    • [cs.LG]Enforcing robust control guarantees within neural network policies
    • [cs.LG]Estimation of the number of clusters on d-dimensional sphere
    • [cs.LG]FAIR: Fair Adversarial Instance Re-weighting
    • [cs.LG]Functorial Manifold Learning and Overlapping Clustering
    • [cs.LG]GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
    • [cs.LG]Gradient Episodic Memory with a Soft Constraint for Continual Learning
    • [cs.LG]Hypergraph Partitioning using Tensor Eigenvalue Decomposition
    • [cs.LG]Learning Associative Inference Using Fast Weight Memory
    • [cs.LG]Mixing ADAM and SGD: a Combined Optimization Method
    • [cs.LG]Mode Penalty Generative Adversarial Network with adapted Auto-encoder
    • [cs.LG]Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
    • [cs.LG]On the Benefits of Early Fusion in Multimodal Representation Learning
    • [cs.LG]On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?
    • [cs.LG]On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
    • [cs.LG]PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data
    • [cs.LG]Predicting Human Strategies in Simulated Search and Rescue Task
    • [cs.LG]Regularized Mutual Information Neural Estimation
    • [cs.LG]Risk-Constrained Thompson Sampling for CVaR Bandits
    • [cs.LG]Self Normalizing Flows
    • [cs.LG]Shortcomings of Counterfactual Fairness and a Proposed Modification
    • [cs.LG]The Influence of Domain-Based Preprocessing on Subject-Specific Clustering
    • [cs.LG]The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions
    • [cs.LG]Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
    • [cs.LG]Towards Human-Level Learning of Complex Physical Puzzles
    • [cs.LG]Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
    • [cs.MA]Differential Privacy Meets Maximum-weight Matching
    • [cs.MA]Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
    • [cs.MA]Scalable Reinforcement Learning Policies for Multi-Agent Control
    • [cs.NE]11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks
    • [cs.NE]Predictive Coding, Variational Autoencoders, and Biological Connections
    • [cs.PF]Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
    • [cs.RO]A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
    • [cs.RO]ACDER: Augmented Curiosity-Driven Experience Replay
    • [cs.RO]An Efficient Paradigm for Feasibility Guarantees in Legged Locomotion
    • [cs.RO]Analytical Inverse Kinematics for a 5-DoF Robotic Arm with a Prismatic Joint
    • [cs.RO]Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration
    • [cs.RO]Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
    • [cs.RO]BirdSLAM: Monocular Multibody SLAM in Bird’s-Eye View
    • [cs.RO]Designing Human-Robot Coexistence Space
    • [cs.RO]Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics
    • [cs.RO]Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning
    • [cs.RO]Fast Uncertainty Quantification for Deep Object Pose Estimation
    • [cs.RO]Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
    • [cs.RO]Indoor Positioning System based on Visible Light Communication for Mobile Robot in Nuclear Power Plant
    • [cs.RO]Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System
    • [cs.RO]Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning
    • [cs.RO]LUCIDGames: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning
    • [cs.RO]Lambda-Field: A Continuous Counterpart Of The Bayesian Occupancy Grid For Risk Assessment And Safe Navigation
    • [cs.RO]Locomotion and Control of a Friction-Driven Tripedal Robot
    • [cs.RO]Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment
    • [cs.RO]Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator
    • [cs.RO]PLAS: Latent Action Space for Offline Reinforcement Learning
    • [cs.RO]Planning Paths Through Unknown Space by Imagining What Lies Therein
    • [cs.RO]Privacy-Preserving Pose Estimation for Human-Robot Interaction
    • [cs.RO]Region-Based Planning for 3D Within-Hand-Manipulation via Variable Friction Robot Fingers and Extrinsic Contacts
    • [cs.RO]Robust Quadruped Jumping via Deep Reinforcement Learning
    • [cs.RO]Sampling Approach Matters: Active Learning for Robotic Language Acquisition
    • [cs.RO]Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks
    • [cs.RO]SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
    • [cs.RO]Sparsity-Inducing Optimal Control via Differential Dynamic Programming
    • [cs.RO]Stein Variational Model Predictive Control
    • [cs.RO]Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones
    • [cs.RO]Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
    • [cs.RO]Trajectory Optimization for High-Dimensional Nonlinear Systems under STL Specifications
    • [cs.SD]Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment
    • [cs.SE]Secure Vehicle Communications Using Proof-of-Nonce Blockchain
    • [cs.SI]A Model of Polarization on Social Media Caused by Empathy and Repulsion
    • [cs.SI]Centrality Measures in Complex Networks: A Survey
    • [cs.SI]Expertise and confidence explain how social influence evolves along intellective tasks
    • [cs.SI]Influence of User Emotion on Information Propagation with Public Sentiment in the Chinese Sina-microblog
    • [cs.SI]SSNE: Effective Node Representation for Link Prediction in Sparse Networks
    • [cs.SI]Social Contagion and Associative Diffusion in Multilayer Network
    • [cs.SI]Spatial Social Network (SSN) Hot Spot Detection: Scan Methods for Non-Planar Networks
    • [cs.SI]Strongly Connected Components in Stream Graphs: Computation and Experimentations
    • [cs.SI]Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
    • [cs.SI]Technology to Counter Online Flaming Based on the Frequency-Dependent Damping Coefficient in the Oscillation Model
    • [econ.EM]A Generalized Focused Information Criterion for GMM
    • [econ.EM]Policy choice in experiments with unknown interference
    • [eess.AS]On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks
    • [eess.IV]Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
    • [eess.IV]MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
    • [eess.IV]Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax
    • [eess.IV]Pose-dependent weights and Domain Randomization for fully automatic X-ray to CT Registration
    • [eess.IV]SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
    • [eess.IV]Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI
    • [eess.SP]Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA
    • [eess.SP]Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment
    • [eess.SP]Temporal Dynamic Model for Resting State fMRI Data: A Neural Ordinary Differential Equation approach
    • [eess.SY]Full Attitude Intelligent Controller Design of a Heliquad under Complete Failure of an Actuator
    • [eess.SY]Resilient Identification of Distribution Network Topology
    • [eess.SY]Stability Analysis of Complementarity Systems with Neural Network Controllers
    • [math-ph]Spectral statistics for the difference of two Wishart matrices
    • [math.CO]Finding the Second-Best Candidate under the Mallows Model
    • [math.NA]Efficient nonlinear manifold reduced order model
    • [math.OC]Accelerating Distributed SGD for Linear Least-Squares Problem
    • [math.ST]An exact sin$Θ$ formula for matrix perturbation analysis and its applications
    • [math.ST]Inference Functions for Semiparametric Models
    • [math.ST]On arbitrarily underdispersed Conway-Maxwell-Poisson distributions
    • [math.ST]Optimal multiple change-point detection for high-dimensional data
    • [physics.ao-ph]Variation in chemical composition and sources of PM$    {2.5}$ during the COVID-19 lockdown in Delhi
    • [physics.soc-ph]Causal motifs and existence of endogenous cascades in directed networks with application to company defaults
    • [physics.soc-ph]Quantifying Community Resilience Based on Fluctuations in Visits to Point-of-Interest from Digital Trace Data
    • [q-bio.NC]Using noise to probe recurrent neural network structure and prune synapses
    • [q-bio.PE]SIR Model with Stochastic Transmission
    • [q-bio.QM]Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
    • [q-bio.QM]Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity
    • [quant-ph]Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics
    • [stat.AP]Dynamic Risk Prediction Using Survival Tree Ensembles with Application to Cystic Fibrosis
    • [stat.AP]Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
    • [stat.AP]Species Abundance Distribution and Species Accumulation Curve: A General Framework and Results
    • [stat.AP]Suicide disparities across urban and suburban areas in the U.S.: A comparative assessment of socio-environmental factors using a data-driven predictive approach
    • [stat.CO]A Picture’s Worth a Thousand Words: Visualizing n-dimensional Overlap in Logistic Regression Models with Empirical Likelihood
    • [stat.CO]Ultimate Pólya Gamma Samplers — Efficient MCMC for possibly imbalanced binary and categorical data
    • [stat.ME]A Probabilistic Model for Analyzing Summary Birth History Data
    • [stat.ME]A family of smooth piecewise-linear models with probabilistic interpretations
    • [stat.ME]A robust statistical method for Genome-wide association analysis of human copy number variation
    • [stat.ME]Causal inference methods for combining randomized trials and observational studies: a review
    • [stat.ME]Improving efficiency of inference in clinical trials with external control data
    • [stat.ME]Inference for Maximin Effects: A Sampling Approach to Aggregating Heterogenous High-dimensional Regression Models
    • [stat.ME]Measurement Error in Meta-Analysis (MEMA) — a Bayesian framework for continuous outcome data
    • [stat.ME]MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing
    • [stat.ME]New characterization based exponentiality tests for randomly censored data
    • [stat.ME]Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses
    • [stat.ME]Rank Determination in Tensor Factor Model
    • [stat.ME]Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models
    • [stat.ME]Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data
    • [stat.ME]Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
    • [stat.ML]Adversarially Robust Classification based on GLRT
    • [stat.ML]An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression
    • [stat.ML]Bayesian recurrent state space model for rs-fMRI
    • [stat.ML]Coarse-grained and emergent distributed parameter systems from data
    • [stat.ML]Convergence Properties of Stochastic Hypergradients
    • [stat.ML]Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
    • [stat.ML]Distributed Bandits: Probabilistic Communication on $d$-regular Graphs
    • [stat.ML]Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
    • [stat.ML]Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes
    • [stat.ML]Factorized Gaussian Process Variational Autoencoders
    • [stat.ML]MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling
    • [stat.ML]Precision-Recall Curve (PRC) Classification Trees
    • [stat.ML]Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
    • [stat.ML]Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent

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    • [cs.AI]Automated Intersection Management with MiniZinc
    Md. Mushfiqur Rahman, Nahian Muhtasim Zahin, Kazi Raiyan Mahmud, Md. Azmaeen Bin Ansar
    http://arxiv.org/abs/2011.07509v1

    • [cs.AI]Automated Large-scale Class Scheduling in MiniZinc
    Md. Mushfiqur Rahman, Sabah Binte Noor, Fazlul Hasan Siddiqui
    http://arxiv.org/abs/2011.07507v1

    • [cs.AI]Declarative Approaches to Counterfactual Explanations for Classification
    Leopoldo Bertossi
    http://arxiv.org/abs/2011.07423v1

    • [cs.AI]Fact Checking via Path Embedding and Aggregation
    Giuseppe Pirrò
    http://arxiv.org/abs/2011.08028v1

    • [cs.AI]Generating Negative Commonsense Knowledge
    Tara Safavi, Danai Koutra
    http://arxiv.org/abs/2011.07497v1

    • [cs.AI]Measuring agreement on linguistic expressions in medical treatment scenarios
    J Navrro, C Wagner, Uwe Aickelin, L Green, R Ashford
    http://arxiv.org/abs/2011.07693v1

    • [cs.AI]Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing
    Dhruv Vashisht, Harshit Rampal, Haiguang Liao, Yang Lu, Devika Shanbhag, Elias Fallon, Levent Burak Kara
    http://arxiv.org/abs/2011.07577v1

    • [cs.AI]Solving Physics Puzzles by Reasoning about Paths
    Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge Ritter
    http://arxiv.org/abs/2011.07357v1

    • [cs.AI]Tucker decomposition-based Temporal Knowledge Graph Completion
    Pengpeng Shao, Guohua Yang, Dawei Zhang, Jianhua Tao, Feihu Che, Tong Liu
    http://arxiv.org/abs/2011.07751v1

    • [cs.CL]“What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence
    Venelin Kovatchev, Phillip Smith, Mark Lee, Imogen Grumley Traynor, Irene Luque Aguilera, Rory T. Devine
    http://arxiv.org/abs/2011.08035v1

    • [cs.CL]ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments
    Hyounghun Kim, Abhay Zala, Graham Burri, Hao Tan, Mohit Bansal
    http://arxiv.org/abs/2011.07660v1

    • [cs.CL]Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
    Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, Yu Su
    http://arxiv.org/abs/2011.07743v1

    • [cs.CL]CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection
    Severin Laicher, Gioia Baldissin, Enrique Castañeda, Dominik Schlechtweg, Sabine Schulte im Walde
    http://arxiv.org/abs/2011.07247v1

    • [cs.CL]Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness
    António Branco, João Rodrigues, Małgorzata Salawa, Ruben Branco, Chakaveh Saedi
    http://arxiv.org/abs/2011.07997v1

    • [cs.CL]Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration
    Fan-Keng Sun, Cheng-I Lai
    http://arxiv.org/abs/2011.07347v1

    • [cs.CL]DORB: Dynamically Optimizing Multiple Rewards with Bandits
    Ramakanth Pasunuru, Han Guo, Mohit Bansal
    http://arxiv.org/abs/2011.07635v1

    • [cs.CL]Datasets and Models for Authorship Attribution on Italian Personal Writings
    Gaetana Ruggiero, Albert Gatt, Malvina Nissim
    http://arxiv.org/abs/2011.07975v1

    • [cs.CL]DebateSum: A large-scale argument mining and summarization dataset
    Allen Roush, Arvind Balaji
    http://arxiv.org/abs/2011.07251v1

    • [cs.CL]Deep Shallow Fusion for RNN-T Personalization
    Duc Le, Gil Keren, Julian Chan, Jay Mahadeokar, Christian Fuegen, Michael L. Seltzer
    http://arxiv.org/abs/2011.07754v1

    • [cs.CL]Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts
    Kairit Sirts, Kairit Peekman
    http://arxiv.org/abs/2011.07868v1

    • [cs.CL]IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
    James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
    http://arxiv.org/abs/2011.07127v1

    • [cs.CL]IIT_kgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports
    Arka Mitra, Harshvardhan Srivastava, Yugam Tiwari
    http://arxiv.org/abs/2011.07670v1

    • [cs.CL]Iterative Self-Learning for Enhanced Back-Translation in Low Resource Neural Machine Translation
    Idris Abdulmumin, Bashir Shehu Galadanci, Ismaila Idris Sinan
    http://arxiv.org/abs/2011.07403v1

    • [cs.CL]Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling
    Shruti Bhosale, Kyra Yee, Sergey Edunov, Michael Auli
    http://arxiv.org/abs/2011.07164v1

    • [cs.CL]Learning from Task Descriptions
    Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
    http://arxiv.org/abs/2011.08115v1

    • [cs.CL]Lessons from Computational Modelling of Reference Production in Mandarin and English
    Guanyi Chen, Kees van Deemter
    http://arxiv.org/abs/2011.07398v1

    • [cs.CL]Meaningful Answer Generation of E-Commerce Question-Answering
    Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan
    http://arxiv.org/abs/2011.07307v1

    • [cs.CL]Morphologically Aware Word-Level Translation
    Paula Czarnowska, Sebastian Ruder, Ryan Cotterell, Ann Copestake
    http://arxiv.org/abs/2011.07593v1

    • [cs.CL]Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty
    Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz
    http://arxiv.org/abs/2011.07680v1

    • [cs.CL]Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions
    Muhammad N. ElNokrashy, Amr Hendy, Mohamed Abdelghaffar, Mohamed Afify, Ahmed Tawfik, Hany Hassan Awadalla
    http://arxiv.org/abs/2011.07933v1

    • [cs.CL]Sentiment Analysis for Sinhala Language using Deep Learning Techniques
    Lahiru Senevirathne, Piyumal Demotte, Binod Karunanayake, Udyogi Munasinghe, Surangika Ranathunga
    http://arxiv.org/abs/2011.07280v1

    • [cs.CL]Target Guided Emotion Aware Chat Machine
    Wei Wei, Jiayi Liu, Xianling Mao, Guibin Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
    http://arxiv.org/abs/2011.07432v1

    • [cs.CL]Text Information Aggregation with Centrality Attention
    Jingjing Gong, Hang Yan, Yining Zheng, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2011.07916v1

    • [cs.CL]The Challenge of Diacritics in Yoruba Embeddings
    Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki
    http://arxiv.org/abs/2011.07605v1

    • [cs.CL]The Person Index Challenge: Extraction of Persons from Messy, Short Texts
    Markus Schröder, Christian Jilek, Michael Schulze, Andreas Dengel
    http://arxiv.org/abs/2011.07990v1

    • [cs.CL]The Teacher-Student Chatroom Corpus
    Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne, Paula Buttery
    http://arxiv.org/abs/2011.07109v1

    • [cs.CL]Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
    Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
    http://arxiv.org/abs/2011.07208v1

    • [cs.CL]WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
    Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig
    http://arxiv.org/abs/2011.07832v1

    • [cs.CL]Words are the Window to the Soul: Language-based User Representations for Fake News Detection
    Marco Del Tredici, Raquel Fernández
    http://arxiv.org/abs/2011.07389v1

    • [cs.CL]Zero-shot Learning for Relation Extraction
    Jiaying Gong, Hoda Eldardiry
    http://arxiv.org/abs/2011.07126v1

    • [cs.CR]HackerScope: The Dynamics of a Massive Hacker Online Ecosystem
    Risul Islam, Md Omar Faruk Rokon, Ahmad Darki, Michalis Faloutsos
    http://arxiv.org/abs/2011.07222v1

    • [cs.CR]Improved hierarchical role based access control model for cloud computing
    N. N. Thilakarathne, Dilani Wickramaaarachchi
    http://arxiv.org/abs/2011.07764v1

    • [cs.CR]PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation
    Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo, Matthew Lentz, Aastha Mehta, Bernhard Schölkopf
    http://arxiv.org/abs/2011.08069v1

    • [cs.CR]TenFor: A Tensor-Based Tool to Extract Interesting Events from Security Forums
    Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos
    http://arxiv.org/abs/2011.07226v1

    • [cs.CR]Towards Compliant Data Management Systems for Healthcare ML
    Goutham Ramakrishnan, Aditya Nori, Hannah Murfet, Pashmina Cameron
    http://arxiv.org/abs/2011.07555v1

    • [cs.CV]Accounting for Affect in Pain Level Recognition
    Md Taufeeq Uddin, Shaun Canavan, Ghada Zamzmi
    http://arxiv.org/abs/2011.07421v1

    • [cs.CV]ActBERT: Learning Global-Local Video-Text Representations
    Linchao Zhu, Yi Yang
    http://arxiv.org/abs/2011.07231v1

    • [cs.CV]AmphibianDetector: adaptive computation for moving objects detection
    David Svitov, Sergey Alyamkin
    http://arxiv.org/abs/2011.07513v1

    • [cs.CV]An Autonomous Approach to Measure Social Distances and Hygienic Practices during COVID-19 Pandemic in Public Open Spaces
    Peng Sun, Gabriel Draughon, Jerome Lynch
    http://arxiv.org/abs/2011.07375v1

    • [cs.CV]An End-to-end Method for Producing Scanning-robust Stylized QR Codes
    Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren
    http://arxiv.org/abs/2011.07815v1

    • [cs.CV]Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
    Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah
    http://arxiv.org/abs/2011.07491v1

    • [cs.CV]Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code
    Shivaank Agarwal, Ravindra Gudi, Paresh Saxena
    http://arxiv.org/abs/2011.07747v1

    • [cs.CV]Audio-Visual Event Recognition through the lens of Adversary
    Juncheng B Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze
    http://arxiv.org/abs/2011.07430v1

    • [cs.CV]Automatic classification of multiple catheters in neonatal radiographs with deep learning
    Robert D. E. Henderson, Xin Yi, Scott J. Adams, Paul Babyn
    http://arxiv.org/abs/2011.07394v1

    • [cs.CV]BanglaWriting: A multi-purpose offline Bangla handwriting dataset
    M. F. Mridha, Abu Quwsar Ohi, M. Ameer Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir
    http://arxiv.org/abs/2011.07499v1

    • [cs.CV]CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
    Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang
    http://arxiv.org/abs/2011.07466v1

    • [cs.CV]Cinematic-L1 Video Stabilization with a Log-Homography Model
    Arwen Bradley, Jason Klivington, Joseph Triscari, Rudolph van der Merwe
    http://arxiv.org/abs/2011.08144v1

    • [cs.CV]Combining GANs and AutoEncoders for Efficient Anomaly Detection
    Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro
    http://arxiv.org/abs/2011.08102v1

    • [cs.CV]Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
    Issam Laradji, Pau Rodriguez, Freddie Kalaitzis, David Vazquez, Ross Young, Ed Davey, Alexandre Lacoste
    http://arxiv.org/abs/2011.07369v1

    • [cs.CV]Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
    Tristan Aumentado-Armstrong, Alex Levinshtein, Stavros Tsogkas, Konstantinos G. Derpanis, Allan D. Jepson
    http://arxiv.org/abs/2011.08026v1

    • [cs.CV]DARE: AI-based Diver Action Recognition System using Multi-Channel CNNs for AUV Supervision
    Jing Yang, James P. Wilson, Shalabh Gupta
    http://arxiv.org/abs/2011.07713v1

    • [cs.CV]DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection
    ZekunLi, YufanLiu, BingLi, WeimingHu
    http://arxiv.org/abs/2011.07774v1

    • [cs.CV]Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
    Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, Yanwei Fu
    http://arxiv.org/abs/2011.07517v1

    • [cs.CV]Decoupling Representation and Classifier for Noisy Label Learning
    Hui Zhang, Quanming Yao
    http://arxiv.org/abs/2011.08145v1

    • [cs.CV]Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
    Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
    http://arxiv.org/abs/2011.07221v1

    • [cs.CV]Deep multi-modal networks for book genre classification based on its cover
    Chandra Kundu, Lukun Zheng
    http://arxiv.org/abs/2011.07658v1

    • [cs.CV]Direct Classification of Emotional Intensity
    Jacob Ouyang, Isaac R Galatzer-Levy, Vidya Koesmahargyo, Li Zhang
    http://arxiv.org/abs/2011.07460v1

    • [cs.CV]Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
    Zidong Guo, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang
    http://arxiv.org/abs/2011.07526v1

    • [cs.CV]Domain-Invariant Representation Learning for Sim-to-Real Transfer
    Ajay Kumar Tanwani
    http://arxiv.org/abs/2011.07589v1

    • [cs.CV]Drone LAMS: A Drone-based Face Detection Dataset with Large Angles and Many Scenarios
    Yi Luo, Siyi Chen, X. -G. Ma
    http://arxiv.org/abs/2011.07689v1

    • [cs.CV]Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
    Fanqing Lin, Tony Martinez
    http://arxiv.org/abs/2011.07252v1

    • [cs.CV]Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers
    Yao Xiao, Yijun Zhao
    http://arxiv.org/abs/2011.07431v1

    • [cs.CV]Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks
    MaungMaung AprilPyone, Hitoshi Kiya
    http://arxiv.org/abs/2011.07697v1

    • [cs.CV]FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving
    Seontaek Oh, Ji-Hwan You, Young-Keun Kim
    http://arxiv.org/abs/2011.08061v1

    • [cs.CV]Fast and Robust Cascade Model for Multiple Degradation Single Image Super-Resolution
    Santiago López-Tapia, Nicolás Pérez de la Blanca
    http://arxiv.org/abs/2011.07068v1

    • [cs.CV]Gram Regularization for Multi-view 3D Shape Retrieval
    Zhaoqun Li
    http://arxiv.org/abs/2011.07733v1

    • [cs.CV]Hierarchical Complementary Learning for Weakly Supervised Object Localization
    Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang, Abdallah Benzine
    http://arxiv.org/abs/2011.08014v1

    • [cs.CV]High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
    Rosana El Jurdia, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
    http://arxiv.org/abs/2011.08018v1

    • [cs.CV]JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition
    Jinmiao Cai, Nianjuan Jiang, Xiaoguang Han, Kui Jia, Jiangbo Lu
    http://arxiv.org/abs/2011.07787v1

    • [cs.CV]LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
    Sanqing Qu, Guang Chen, Dan Xu, Jinhu Dong, Fan Lu, Alois Knoll
    http://arxiv.org/abs/2011.07915v1

    • [cs.CV]Learn an Effective Lip Reading Model without Pains
    Dalu Feng, Shuang Yang, Shiguang Shan, Xilin Chen
    http://arxiv.org/abs/2011.07557v1

    • [cs.CV]Manual-Label Free 3D Detection via An Open-Source Simulator
    Zhen Yang, Chi Zhang, Huiming Guo, Zhaoxiang Zhang
    http://arxiv.org/abs/2011.07784v1

    • [cs.CV]Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization
    Peng Gao, Rui Guo, Hongsheng Lu, Hao Zhang
    http://arxiv.org/abs/2011.07704v1

    • [cs.CV]OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery
    Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng
    http://arxiv.org/abs/2011.07227v1

    • [cs.CV]On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
    Anjith George, Sebastien Marcel
    http://arxiv.org/abs/2011.08019v1

    • [cs.CV]Online Ensemble Model Compression using Knowledge Distillation
    Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
    http://arxiv.org/abs/2011.07449v1

    • [cs.CV]Online Monitoring of Object Detection Performance Post-Deployment
    Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
    http://arxiv.org/abs/2011.07750v1

    • [cs.CV]Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion
    Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis
    http://arxiv.org/abs/2011.07584v1

    • [cs.CV]Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks
    Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger
    http://arxiv.org/abs/2011.07428v1

    • [cs.CV]Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition
    Shihao Xu, Haocong Rao, Xiping Hu, Bin Hu
    http://arxiv.org/abs/2011.07236v1

    • [cs.CV]Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning
    Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag D. Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen
    http://arxiv.org/abs/2011.07631v1

    • [cs.CV]Recovering and Simulating Pedestrians in the Wild
    Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
    http://arxiv.org/abs/2011.08106v1

    • [cs.CV]Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network
    Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou
    http://arxiv.org/abs/2011.07777v1

    • [cs.CV]Scaled-YOLOv4: Scaling Cross Stage Partial Network
    Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
    http://arxiv.org/abs/2011.08036v1

    • [cs.CV]Speech Prediction in Silent Videos using Variational Autoencoders
    Ravindra Yadav, Ashish Sardana, Vinay P Namboodiri, Rajesh M Hegde
    http://arxiv.org/abs/2011.07340v1

    • [cs.CV]Stable View Synthesis
    Gernot Riegler, Vladlen Koltun
    http://arxiv.org/abs/2011.07233v1

    • [cs.CV]Stylized Neural Painting
    Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi
    http://arxiv.org/abs/2011.08114v1

    • [cs.CV]TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks
    Yu-Shih Chen, Melissa Goh, Norm Matloff
    http://arxiv.org/abs/2011.07230v1

    • [cs.CV]Towards Trainable Saliency Maps in Medical Imaging
    Mehak Aggarwal, Nishanth Arun, Sharut Gupta, Ashwin Vaswani, Bryan Chen, Matthew Li, Ken Chang, Jay Patel, Katherine Hoebel, Mishka Gidwani, Jayashree Kalpathy-Cramer, Praveer Singh
    http://arxiv.org/abs/2011.07482v1

    • [cs.CV]Towards Zero-Shot Learning with Fewer Seen Class Examples
    Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
    http://arxiv.org/abs/2011.07279v1

    • [cs.CV]Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
    Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini, Stefano Tubaro
    http://arxiv.org/abs/2011.07792v1

    • [cs.CV]Zero Cost Improvements for General Object Detection Network
    Shaohua Wang, Yaping Dai
    http://arxiv.org/abs/2011.07756v1

    • [cs.CV]hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras
    Luca Parisi, Renfei Ma, Narrendar RaviChandran, Matteo Lanzillotta
    http://arxiv.org/abs/2011.07661v1

    • [cs.CV]iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering
    Aman Chadha, Gurneet Arora, Navpreet Kaloty
    http://arxiv.org/abs/2011.07735v1

    • [cs.CY]A Survey of Requirements for COVID-19 Mitigation Strategies. Part I: Newspaper Clips
    Wojciech Jamroga, David Mestel, Peter B. Roenne, Peter Y. A. Ryan, Marjan Skrobot
    http://arxiv.org/abs/2011.07887v1

    • [cs.CY]Ambient heat and human sleep
    Kelton Minor, Andreas Bjerre-Nielsen, Sigga Svala Jonasdottir, Sune Lehmann, Nick Obradovich
    http://arxiv.org/abs/2011.07161v1

    • [cs.CY]Do Cyber Capabilities and Cyber Power Incentivize International Cooperation?
    Jukka Ruohonen
    http://arxiv.org/abs/2011.07212v1

    • [cs.CY]Good proctor or “Big Brother”? AI Ethics and Online Exam Supervision Technologies
    Simon Coghlan, Tim Miller, Jeannie Paterson
    http://arxiv.org/abs/2011.07647v1

    • [cs.CY]Rethinking the Role of Technology in Virtual Teams in Light of COVID-19
    Mark Frost, Sophia Xiaoxia Duan
    http://arxiv.org/abs/2011.07303v1

    • [cs.CY]Software must be recognised as an important output of scholarly research
    Caroline Jay, Robert Haines, Daniel S. Katz
    http://arxiv.org/abs/2011.07571v1

    • [cs.CY]Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
    Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang
    http://arxiv.org/abs/2011.07586v1

    • [cs.DC]Crowdsharing Wireless Energy Services
    Abdallah Lakhdari, Amani Abusafia, Athman Bouguettaya
    http://arxiv.org/abs/2011.07650v1

    • [cs.DC]Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network
    Qinzi Zhang, Lewis Tseng
    http://arxiv.org/abs/2011.07447v1

    • [cs.DC]Recoverable, Abortable, and Adaptive Mutual Exclusion with Sublogarithmic RMR Complexity
    Daniel Katzan, Adam Morrison
    http://arxiv.org/abs/2011.07622v1

    • [cs.DC]Secured Distributed Algorithms without Hardness Assumptions
    Leonid Barenboim, Harel Levin
    http://arxiv.org/abs/2011.07863v1

    • [cs.DC]Tight Distributed Listing of Cliques
    Keren Censor-Hillel, Yi-Jun Chang, François Le Gall, Dean Leitersdorf
    http://arxiv.org/abs/2011.07405v1

    • [cs.DC]Time and Space Optimal Exact Majority Population Protocols
    Leszek Gąsieniec, Grzegorz Stachowiak, Przemysław Uznański
    http://arxiv.org/abs/2011.07392v1

    • [cs.DC]Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
    Jonathan Will, Jonathan Bader, Lauritz Thamsen
    http://arxiv.org/abs/2011.07965v1

    • [cs.DC]Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues
    Aftab Alam, Irfan Ullah, Young-Koo Lee
    http://arxiv.org/abs/2011.07807v1

    • [cs.DS]Data-driven Algorithm Design
    Maria-Florina Balcan
    http://arxiv.org/abs/2011.07177v1

    • [cs.HC]Conversational agents for learning foreign languages — a survey
    Jasna Petrovic, Mladjan Jovanovic
    http://arxiv.org/abs/2011.07901v1

    • [cs.HC]Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science
    Adam J. Johs, Denise E. Agosto, Rosina O. Weber
    http://arxiv.org/abs/2011.07130v1

    • [cs.IR]Analyzing ‘Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval
    Ashmi Banerjee, Gourab K Patro, Linus W. Dietz, Abhijnan Chakraborty
    http://arxiv.org/abs/2011.07359v1

    • [cs.IR]CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
    Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
    http://arxiv.org/abs/2011.07739v1

    • [cs.IR]Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
    Bhaskar Mitra, Sebastian Hofstatter, Hamed Zamani, Nick Craswell
    http://arxiv.org/abs/2011.07368v1

    • [cs.IR]Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents
    Amanpreet Singh, Niranjan Balasubramanian
    http://arxiv.org/abs/2011.07636v1

    • [cs.IR]Providing More Efficient Access To Government Records: A Use Case Involving Application of Machine Learning to Improve FOIA Review for the Deliberative Process Privilege
    Jason R. Baron, Mahmoud F. Sayed, Douglas W. Oard
    http://arxiv.org/abs/2011.07203v1

    • [cs.IR]RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data
    Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos
    http://arxiv.org/abs/2011.07363v1

    • [cs.IR]SamWalker++: recommendation with informative sampling strategy
    Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
    http://arxiv.org/abs/2011.07734v1

    • [cs.IR]User-based Network Embedding for Collective Opinion Spammer Detection
    Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng
    http://arxiv.org/abs/2011.07783v1

    • [cs.IT]Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive Access
    Yikun Mei, Zhen Gao, Yongpeng Wu, Wei Chen, Derrick Wing Kwan Ng, Marco Di Renzo
    http://arxiv.org/abs/2011.07928v1

    • [cs.IT]Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems
    Tong Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Xin Wang, Xiaolin Hou
    http://arxiv.org/abs/2011.07242v1

    • [cs.IT]Energy-Efficient Resource Allocation in UAV-Enabled Detection and Communication Systems
    Yuwei Li, Wanli Ni, Hui Tian, Meihui Hua, Shaoshuai Fan
    http://arxiv.org/abs/2011.07210v1

    • [cs.IT]FDD Massive MIMO — Antenna Duplex Pattern an-Reciprocity : A Missing Brick
    Patrick C. F. Eggers, Stanislav S. Zhekov
    http://arxiv.org/abs/2011.07492v1

    • [cs.IT]FedRec: Federated Learning of Universal Receivers over Fading Channels
    Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gunduz
    http://arxiv.org/abs/2011.07271v1

    • [cs.IT]Grant-Free Opportunistic Uplink Transmission in Wireless-powered IoT: A Spatio-temporal Model
    Mohammad Gharbieh, Hesham ElSawy, Mustafa Emara, Hong-Chuan Yang, Mohamed-Slim Alouini
    http://arxiv.org/abs/2011.08131v1

    • [cs.IT]Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration
    Boyu Ning, Zhi Chen, Zhongbao Tian, Shaoqian Li
    http://arxiv.org/abs/2011.07822v1

    • [cs.IT]Memory-Rate Tradeoff for Caching with Uncoded Placement under Nonuniform File Popularity
    Yong Deng, Min Dong
    http://arxiv.org/abs/2011.08122v1

    • [cs.IT]Nonuniform Quantized Decoder for Polar Codes with Minimum Distortion Quantizer
    Zhiwei Cao, Hongfei Zhu, Yuping Zhao, Dou Li
    http://arxiv.org/abs/2011.07202v1

    • [cs.IT]On the performance of downlink NOMA in underlay spectrum sharing
    Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
    http://arxiv.org/abs/2011.08159v1

    • [cs.IT]Parameters of Combinatorial Neural Codes
    Giuseppe Cotardo, Alberto Ravagnani
    http://arxiv.org/abs/2011.08101v1

    • [cs.IT]Performance Analysis and Optimization of a UAV-Enabled Two-Way Relaying Network under FSMH, NC, and PNC Schemes
    Xianzhen Guo, Bin Li, Daosen Zhai, Ruonan Zhang-
    http://arxiv.org/abs/2011.07444v1

    • [cs.IT]Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
    Hieu Tran-Dinh, Sumit Gautam, Symeon Chatzinotas, Bjorn Ottersten
    http://arxiv.org/abs/2011.07955v1

    • [cs.IT]Throughput maximization in a UAV-enabled Two-way Relaying System with Multi-pair Users
    Xianzhen Guo, Bin Li, Jiayi Cong, Ruonan Zhang
    http://arxiv.org/abs/2011.07446v1

    • [cs.IT]Unified Composite Distribution and Its Applications to Double Shadowed $α-κ-μ$ Fading Channels
    Hussien Al-Hmood, H. S. Al-Raweshidy
    http://arxiv.org/abs/2011.07760v1

    • [cs.LG]2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments
    Harry Cai, Daniel Rueckert, Jonathan Passerat-Palmbach
    http://arxiv.org/abs/2011.07516v1

    • [cs.LG]A Geometric Perspective on Self-Supervised Policy Adaptation
    Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
    http://arxiv.org/abs/2011.07318v1

    • [cs.LG]A Large-Scale Database for Graph Representation Learning
    Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
    http://arxiv.org/abs/2011.07682v1

    • [cs.LG]A Survey on the Explainability of Supervised Machine Learning
    Nadia Burkart, Marco F. Huber
    http://arxiv.org/abs/2011.07876v1

    • [cs.LG]A Theoretical Perspective on Differentially Private Federated Multi-task Learning
    Huiwen Wu, Cen Chen, Li Wang
    http://arxiv.org/abs/2011.07179v1

    • [cs.LG]Adaptive Matching of Kernel Means
    Miao Cheng, Xinge You
    http://arxiv.org/abs/2011.07798v1

    • [cs.LG]CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
    Dipankar Sarkar, Sumit Rai, Ankur Narang
    http://arxiv.org/abs/2011.07229v1

    • [cs.LG]Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19
    Nihal Acharya Adde, Thilo Moshagen
    http://arxiv.org/abs/2011.07332v1

    • [cs.LG]Cluster-Specific Predictions with Multi-Task Gaussian Processes
    Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
    http://arxiv.org/abs/2011.07866v1

    • [cs.LG]Coresets for Robust Training of Neural Networks against Noisy Labels
    Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
    http://arxiv.org/abs/2011.07451v1

    • [cs.LG]Corrupted Contextual Bandits with Action Order Constraints
    Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
    http://arxiv.org/abs/2011.07989v1

    • [cs.LG]Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening
    Ali Akbar Septiandri, Aditiawarman, Roy Tjiong, Erlina Burhan, Anuraj Shankar
    http://arxiv.org/abs/2011.07396v1

    • [cs.LG]DART: aDaptive Accept RejecT for non-linear top-K subset identification
    Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek Umrawal
    http://arxiv.org/abs/2011.07687v1

    • [cs.LG]Debiasing Convolutional Neural Networks via Meta Orthogonalization
    Kurtis Evan David, Qiang Liu, Ruth Fong
    http://arxiv.org/abs/2011.07453v1

    • [cs.LG]Discovering long term dependencies in noisy time series data using deep learning
    Alexey Kurochkin
    http://arxiv.org/abs/2011.07551v1

    • [cs.LG]Dynamic backdoor attacks against federated learning
    Anbu Huang
    http://arxiv.org/abs/2011.07429v1

    • [cs.LG]Enforcing robust control guarantees within neural network policies
    Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter
    http://arxiv.org/abs/2011.08105v1

    • [cs.LG]Estimation of the number of clusters on d-dimensional sphere
    Kazuhisa Fujita
    http://arxiv.org/abs/2011.07530v1

    • [cs.LG]FAIR: Fair Adversarial Instance Re-weighting
    Andrija Petrović, Mladen Nikolić, Sandro Radovanović, Boris Delibašić, Miloš Jovanović
    http://arxiv.org/abs/2011.07495v1

    • [cs.LG]Functorial Manifold Learning and Overlapping Clustering
    Dan Shiebler
    http://arxiv.org/abs/2011.07435v1

    • [cs.LG]GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
    Daniel Lengyel, Janith Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings
    http://arxiv.org/abs/2011.07407v1

    • [cs.LG]Gradient Episodic Memory with a Soft Constraint for Continual Learning
    Guannan Hu, Wu Zhang, Hu Ding, Wenhao Zhu
    http://arxiv.org/abs/2011.07801v1

    • [cs.LG]Hypergraph Partitioning using Tensor Eigenvalue Decomposition
    Deepak Maurya, Balaraman Ravindran
    http://arxiv.org/abs/2011.07683v1

    • [cs.LG]Learning Associative Inference Using Fast Weight Memory
    Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
    http://arxiv.org/abs/2011.07831v1

    • [cs.LG]Mixing ADAM and SGD: a Combined Optimization Method
    Nicola Landro, Ignazio Gallo, Riccardo La Grassa
    http://arxiv.org/abs/2011.08042v1

    • [cs.LG]Mode Penalty Generative Adversarial Network with adapted Auto-encoder
    Gahye Lee, Seungkyu Lee
    http://arxiv.org/abs/2011.07706v1

    • [cs.LG]Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
    Guoqiang Wu, Jun Zhu
    http://arxiv.org/abs/2011.07805v1

    • [cs.LG]On the Benefits of Early Fusion in Multimodal Representation Learning
    George Barnum, Sabera Talukder, Yisong Yue
    http://arxiv.org/abs/2011.07191v1

    • [cs.LG]On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?
    Yao-Chun Chan, Mingchen Li, Samet Oymak
    http://arxiv.org/abs/2011.08121v1

    • [cs.LG]On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
    Harald Strömfelt, Luke Dickens, Artur d’Avila Garcez, Alessandra Russo
    http://arxiv.org/abs/2011.07137v1

    • [cs.LG]PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data
    Yufeng Wang, Dan Li, Xiang Li, Min Yang
    http://arxiv.org/abs/2011.07770v1

    • [cs.LG]Predicting Human Strategies in Simulated Search and Rescue Task
    Vidhi Jain, Rohit Jena, Huao Li, Tejus Gupta, Dana Hughes, Michael Lewis, Katia Sycara
    http://arxiv.org/abs/2011.07656v1

    • [cs.LG]Regularized Mutual Information Neural Estimation
    Kwanghee Choi, Siyeong Lee
    http://arxiv.org/abs/2011.07932v1

    • [cs.LG]Risk-Constrained Thompson Sampling for CVaR Bandits
    Joel Q. L. Chang, Qiuyu Zhu, Vincent Y. F. Tan
    http://arxiv.org/abs/2011.08046v1

    • [cs.LG]Self Normalizing Flows
    T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
    http://arxiv.org/abs/2011.07248v1

    • [cs.LG]Shortcomings of Counterfactual Fairness and a Proposed Modification
    Fabian Beigang
    http://arxiv.org/abs/2011.07312v1

    • [cs.LG]The Influence of Domain-Based Preprocessing on Subject-Specific Clustering
    Alexandra Gkolia, Nikhil Fernandes, Nicolas Pizzo, James Davenport, Akshar Nair
    http://arxiv.org/abs/2011.08127v1

    • [cs.LG]The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions
    Sharut Gupta, Praveer Singh, Ken Chang, Mehak Aggarwal, Nishanth Arun, Liangqiong Qu, Katharina Hoebel, Jay Patel, Mishka Gidwani, Ashwin Vaswani, Daniel L Rubin, Jayashree Kalpathy-Cramer
    http://arxiv.org/abs/2011.08096v1

    • [cs.LG]Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
    Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
    http://arxiv.org/abs/2011.07729v1

    • [cs.LG]Towards Human-Level Learning of Complex Physical Puzzles
    Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
    http://arxiv.org/abs/2011.07193v1

    • [cs.LG]Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
    Yuxin Wen, Shuai Li, Kui Jia
    http://arxiv.org/abs/2011.07478v1

    • [cs.MA]Differential Privacy Meets Maximum-weight Matching
    Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings
    http://arxiv.org/abs/2011.07934v1

    • [cs.MA]Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
    Roxana Rădulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
    http://arxiv.org/abs/2011.07290v1

    • [cs.MA]Scalable Reinforcement Learning Policies for Multi-Agent Control
    Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari
    http://arxiv.org/abs/2011.08055v1

    • [cs.NE]11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks
    Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Andreas Boes, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Damien G. Hicks, Roberto Morandotti, Arnan Mitchell, David J. Moss
    http://arxiv.org/abs/2011.07393v1

    • [cs.NE]Predictive Coding, Variational Autoencoders, and Biological Connections
    Joseph Marino
    http://arxiv.org/abs/2011.07464v1

    • [cs.PF]Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
    Nan Wu, Pengcheng Li
    http://arxiv.org/abs/2011.07160v1

    • [cs.RO]A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
    Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois R. Hogan, Joshua Tenenbaum, Pulkit Agrawal, Alberto Rodriguez
    http://arxiv.org/abs/2011.08177v1

    • [cs.RO]ACDER: Augmented Curiosity-Driven Experience Replay
    Boyao Li, Tao Lu, Jiayi L
    1000
    i, Ning Lu, Yinghao Cai, Shuo Wang
    http://arxiv.org/abs/2011.08027v1

    • [cs.RO]An Efficient Paradigm for Feasibility Guarantees in Legged Locomotion
    Abdelrahman Abdalla1, Michele Focchi, Romeo Orsolino, Claudio Semini
    http://arxiv.org/abs/2011.07967v1

    • [cs.RO]Analytical Inverse Kinematics for a 5-DoF Robotic Arm with a Prismatic Joint
    Vighnesh Vatsal, Guy Hoffman
    http://arxiv.org/abs/2011.07286v1

    • [cs.RO]Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration
    Ji Woong Kim, Changyan He, Muller Urias, Peter Gehlbach, Gregory D. Hager, Iulian Iordachita, Marin Kobilarov
    http://arxiv.org/abs/2011.07785v1

    • [cs.RO]Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
    Raghad Alghonaim, Edward Johns
    http://arxiv.org/abs/2011.07112v1

    • [cs.RO]BirdSLAM: Monocular Multibody SLAM in Bird’s-Eye View
    Swapnil Daga, Gokul B. Nair, Anirudha Ramesh, Rahul Sajnani, Junaid Ahmed Ansari, K. Madhava Krishna
    http://arxiv.org/abs/2011.07613v1

    • [cs.RO]Designing Human-Robot Coexistence Space
    Jixuan Zhi, Lap-Fai Yu, Jyh-Ming Lien
    http://arxiv.org/abs/2011.07374v1

    • [cs.RO]Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics
    Matteo Macchini, Jan Frogg, Fabrizio Schiano, Dario Floreano
    http://arxiv.org/abs/2011.07591v1

    • [cs.RO]Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning
    Dhanoop Karunakaran, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2011.07699v1

    • [cs.RO]Fast Uncertainty Quantification for Deep Object Pose Estimation
    Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Animashree Anandkumar, Yuke Zhu
    http://arxiv.org/abs/2011.07748v1

    • [cs.RO]Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
    Valts Blukis, Ross A. Knepper, Yoav Artzi
    http://arxiv.org/abs/2011.07384v1

    • [cs.RO]Indoor Positioning System based on Visible Light Communication for Mobile Robot in Nuclear Power Plant
    Hongyun Xie, Linyi Huang, Wenfei Wu
    http://arxiv.org/abs/2011.07771v1

    • [cs.RO]Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System
    Zhanhong Yan, Kaiming Yang, Zheng Wang, Bo Yang, Tsutomu Kaizuka, Kimihiko Nakano
    http://arxiv.org/abs/2011.07424v1

    • [cs.RO]Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning
    Kalyan Vasudev Alwala, Mustafa Mukadam
    http://arxiv.org/abs/2011.07171v1

    • [cs.RO]LUCIDGames: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning
    Simon Le Cleac’h, Mac Schwager, Zachary Manchester
    http://arxiv.org/abs/2011.08152v1

    • [cs.RO]Lambda-Field: A Continuous Counterpart Of The Bayesian Occupancy Grid For Risk Assessment And Safe Navigation
    Johann Laconte, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Laurent Malaterre, Christophe Debain, Romuald Aufrère
    http://arxiv.org/abs/2011.08045v1

    • [cs.RO]Locomotion and Control of a Friction-Driven Tripedal Robot
    Mark Hermes, Taylor McLaughlin, Mitul Luhar, Quan Nguyen
    http://arxiv.org/abs/2011.07370v1

    • [cs.RO]Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-structured Environment
    Petr Stibinger, George Broughton, Filip Majer, Zdenek Rozsypalek, Anthony Wang, Kshitij Jindal, Alex Zhou, Dinesh Thakur, Giuseppe Loianno, Tomas Krajnik, Martin Saska
    http://arxiv.org/abs/2011.07972v1

    • [cs.RO]Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator
    David A. Haggerty, Michael J. Banks, Patrick C. Curtis, Igor Mezić, Elliot W. Hawkes
    http://arxiv.org/abs/2011.07939v1

    • [cs.RO]PLAS: Latent Action Space for Offline Reinforcement Learning
    Wenxuan Zhou, Sujay Bajracharya, David Held
    http://arxiv.org/abs/2011.07213v1

    • [cs.RO]Planning Paths Through Unknown Space by Imagining What Lies Therein
    Yutao Han, Jacopo Banfi, Mark Campbell
    http://arxiv.org/abs/2011.07316v1

    • [cs.RO]Privacy-Preserving Pose Estimation for Human-Robot Interaction
    Youya Xia, Yifan Tang, Yuhan Hu, Guy Hoffman
    http://arxiv.org/abs/2011.07387v1

    • [cs.RO]Region-Based Planning for 3D Within-Hand-Manipulation via Variable Friction Robot Fingers and Extrinsic Contacts
    Alp Sahin, Adam J. Spiers, Berk Calli
    http://arxiv.org/abs/2011.07132v1

    • [cs.RO]Robust Quadruped Jumping via Deep Reinforcement Learning
    Guillaume Bellegarda, Quan Nguyen
    http://arxiv.org/abs/2011.07089v1

    • [cs.RO]Sampling Approach Matters: Active Learning for Robotic Language Acquisition
    Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
    http://arxiv.org/abs/2011.08021v1

    • [cs.RO]Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks
    Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev
    http://arxiv.org/abs/2011.07383v1

    • [cs.RO]SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
    Xingyu Lin, Yufei Wang, Jake Olkin, David Held
    http://arxiv.org/abs/2011.07215v1

    • [cs.RO]Sparsity-Inducing Optimal Control via Differential Dynamic Programming
    Traiko Dinev, Wolfgang Merkt, Vladimir Ivan, Ioannis Havoutis, Sethu Vijayakumar
    http://arxiv.org/abs/2011.07325v1

    • [cs.RO]Stein Variational Model Predictive Control
    Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos
    http://arxiv.org/abs/2011.07641v1

    • [cs.RO]Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones
    Yuan Chang, Chao Yan, Xingyu Liu, Xiangke Wang, Han Zhou, Xiaojia Xiang, Dengqing Tang
    http://arxiv.org/abs/2011.07759v1

    • [cs.RO]Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
    Ji Woong Kim, Peiyao Zhang, Peter Gehlbach, Iulian Iordachita, Marin Kobilarov
    http://arxiv.org/abs/2011.07778v1

    • [cs.RO]Trajectory Optimization for High-Dimensional Nonlinear Systems under STL Specifications
    Vince Kurtz, Hai Lin
    http://arxiv.org/abs/2011.07104v1

    • [cs.SD]Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment
    Ruchit Agrawal, Simon Dixon
    http://arxiv.org/abs/2011.07546v1

    • [cs.SE]Secure Vehicle Communications Using Proof-of-Nonce Blockchain
    N. Y. Ahn, D. H. Lee
    http://arxiv.org/abs/2011.07846v1

    • [cs.SI]A Model of Polarization on Social Media Caused by Empathy and Repulsion
    Naoki Hirakura, Masaki Aida, Konosuke Kawashima
    http://arxiv.org/abs/2011.08141v1

    • [cs.SI]Centrality Measures in Complex Networks: A Survey
    Akrati Saxena, Sudarshan Iyengar
    http://arxiv.org/abs/2011.07190v1

    • [cs.SI]Expertise and confidence explain how social influence evolves along intellective tasks
    Omid Askarisichani, Elizabeth Y. Huang, Kekoa S. Sato, Noah E. Friedkin, Francesco Bullo, Ambuj K. Singh
    http://arxiv.org/abs/2011.07168v1

    • [cs.SI]Influence of User Emotion on Information Propagation with Public Sentiment in the Chinese Sina-microblog
    Fulian Yin
    http://arxiv.org/abs/2011.07694v1

    • [cs.SI]SSNE: Effective Node Representation for Link Prediction in Sparse Networks
    Min-Ren Chen, Ping Huang, Yu Lin, Shi-Min Cai
    http://arxiv.org/abs/2011.07788v1

    • [cs.SI]Social Contagion and Associative Diffusion in Multilayer Network
    Heng-Chien Liou, Hsuan-Wei Lee
    http://arxiv.org/abs/2011.07746v1

    • [cs.SI]Spatial Social Network (SSN) Hot Spot Detection: Scan Methods for Non-Planar Networks
    Joshua Baker, Clio Andris, Daniel DellaPosta
    http://arxiv.org/abs/2011.07702v1

    • [cs.SI]Strongly Connected Components in Stream Graphs: Computation and Experimentations
    Léo Rannou, Clémence Magnien, Matthieu Latapy
    http://arxiv.org/abs/2011.08054v1

    • [cs.SI]Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
    Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
    http://arxiv.org/abs/2011.07752v1

    • [cs.SI]Technology to Counter Online Flaming Based on the Frequency-Dependent Damping Coefficient in the Oscillation Model
    Shinichi Kikuchi, Chisa Takano, Masaki Aida
    http://arxiv.org/abs/2011.08117v1

    • [econ.EM]A Generalized Focused Information Criterion for GMM
    Minsu Chang, Francis J. DiTraglia
    http://arxiv.org/abs/2011.07085v1

    • [econ.EM]Policy choice in experiments with unknown interference
    Davide Viviano
    http://arxiv.org/abs/2011.08174v1

    • [eess.AS]On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks
    Serkan Sulun, Matthew E. P. Davies
    http://arxiv.org/abs/2011.07274v1

    • [eess.IV]Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
    David Gillespie, Connah Kendrick, Ian Boon, Cheng Boon, Tim Rattay, Moi Hoon Yap
    http://arxiv.org/abs/2011.07795v1

    • [eess.IV]MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
    Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
    http://arxiv.org/abs/2011.07590v1

    • [eess.IV]Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax
    Benedikt Graf, Arkadiusz Sitek, Amin Katouzian, Yen-Fu Lu, Arun Krishnan, Justin Rafael, Kirstin Small, Yiting Xie
    http://arxiv.org/abs/2011.07353v1

    • [eess.IV]Pose-dependent weights and Domain Randomization for fully automatic X-ray to CT Registration
    Matthias Grimm, Javier Esteban, Mathias Unberath, Nassir Navab
    http://arxiv.org/abs/2011.07294v1

    • [eess.IV]SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
    Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu
    http://arxiv.org/abs/2011.07534v1

    • [eess.IV]Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI
    Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus Maier-Hein
    http://arxiv.org/abs/2011.07592v1

    • [eess.SP]Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA
    Zahra Esmaeilbeig, Shahin Khobahi Mojtaba Soltanalian
    http://arxiv.org/abs/2011.07458v1

    • [eess.SP]Learning to Continuously Optimize Wireless Resource In Episodically Dynamic Environment
    Haoran Sun, Wenqiang Pu, Minghe Zhu, Xiao Fu, Tsung-Hui Chang, Mingyi Hong
    http://arxiv.org/abs/2011.07782v1

    • [eess.SP]Temporal Dynamic Model for Resting State fMRI Data: A Neural Ordinary Differential Equation approach
    Zheyu Wen
    http://arxiv.org/abs/2011.08146v1

    • [eess.SY]Full Attitude Intelligent Controller Design of a Heliquad under Complete Failure of an Actuator
    Eeshan Kulkarni, Suresh Sundaram
    http://arxiv.org/abs/2011.07529v1

    • [eess.SY]Resilient Identification of Distribution Network Topology
    Mohammad Jafarian, Alireza Soroudi, Andrew Keane
    http://arxiv.org/abs/2011.07981v1

    • [eess.SY]Stability Analysis of Complementarity Systems with Neural Network Controllers
    Alp Aydinoglu, Mahyar Fazlyab, Manfred Morari, Michael Posa
    http://arxiv.org/abs/2011.07626v1

    • [math-ph]Spectral statistics for the difference of two Wishart matrices
    Santosh Kumar, S. Sai Charan
    http://arxiv.org/abs/2011.07362v1

    • [math.CO]Finding the Second-Best Candidate under the Mallows Model
    Xujun Liu, Olgica Milenkovic
    http://arxiv.org/abs/2011.07666v1

    • [math.NA]Efficient nonlinear manifold reduced order model
    Youngkyu Kim, Youngsoo Choi, David Widemann, Tarek Zohdi
    http://arxiv.org/abs/2011.07727v1

    • [math.OC]Accelerating Distributed SGD for Linear Least-Squares Problem
    Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
    http://arxiv.org/abs/2011.07595v1

    • [math.ST]An exact sin$Θ$ formula for matrix perturbation analysis and its applications
    He Lyu, Rongrong Wang
    http://arxiv.org/abs/2011.07669v1

    • [math.ST]Inference Functions for Semiparametric Models
    Rodrigo Labouriau
    http://arxiv.org/abs/2011.07275v1

    • [math.ST]On arbitrarily underdispersed Conway-Maxwell-Poisson distributions
    Alan Huang
    http://arxiv.org/abs/2011.07503v1

    • [math.ST]Optimal multiple change-point detection for high-dimensional data
    Emmanuel Pilliat, Alexandra Carpentier, Nicolas Verzelen
    http://arxiv.org/abs/2011.07818v1

    • [physics.ao-ph]Variation in chemical composition and sources of PM$_{2.5}$ during the COVID-19 lockdown in Delhi
    Chirag Manchanda, Mayank Kumar, Vikram Singh, Mohd Faisal, Naba Hazarika, Ashutosh Shukla, Vipul Lalchandani, Vikas Goel, Navaneeth Thamban, Dilip Ganguly, Sachchida Nand Tripathi
    http://arxiv.org/abs/2011.08140v1

    • [physics.soc-ph]Causal motifs and existence of endogenous cascades in directed networks with application to company defaults
    Irena Barjašić, Hrvoje Štefančić, Vedrana Pribičević, Vinko Zlatić
    http://arxiv.org/abs/2011.08148v1

    • [physics.soc-ph]Quantifying Community Resilience Based on Fluctuations in Visits to Point-of-Interest from Digital Trace Data
    Cristian Podesta, Natalie Coleman, Amir Esmalian, Fax Yuan, Ali Mostafavi
    http://arxiv.org/abs/2011.07440v1

    • [q-bio.NC]Using noise to probe recurrent neural network structure and prune synapses
    Eli Moore, Rishidev Chaudhuri
    http://arxiv.org/abs/2011.07334v1

    • [q-bio.PE]SIR Model with Stochastic Transmission
    Christian Gourieroux, Yang Lu
    http://arxiv.org/abs/2011.07816v1

    • [q-bio.QM]Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
    Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl
    http://arxiv.org/abs/2011.08062v1

    • [q-bio.QM]Reinforcement Learning Control of a Biomechanical Model of the Upper Extremity
    Florian Fischer, Miroslav Bachinski, Markus Klar, Arthur Fleig, Jörg Müller
    http://arxiv.org/abs/2011.07105v1

    • [quant-ph]Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics
    Zahra Baghali Khanian, Manabendra Nath Bera, Arnau Riera, Maciej Lewenstein, Andreas Winter
    http://arxiv.org/abs/2011.08020v1

    • [stat.AP]Dynamic Risk Prediction Using Survival Tree Ensembles with Application to Cystic Fibrosis
    Yifei Sun, Sy Han Chiou, Colin O. Wu, Meghan McGarry, Chiung-Yu Huang
    http://arxiv.org/abs/2011.07175v1

    • [stat.AP]Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
    Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
    http://arxiv.org/abs/2011.07194v1

    • [stat.AP]Species Abundance Distribution and Species Accumulation Curve: A General Framework and Results
    Cheuk Ting Li, Kim-Hung Li
    http://arxiv.org/abs/2011.07270v1

    • [stat.AP]Suicide disparities across urban and suburban areas in the U.S.: A comparative assessment of socio-environmental factors using a data-driven predictive approach
    Sayanti Mukherjee, Zhiyuan Wei
    http://arxiv.org/abs/2011.08171v1

    • [stat.CO]A Picture’s Worth a Thousand Words: Visualizing n-dimensional Overlap in Logistic Regression Models with Empirical Likelihood
    Paul A. Roediger
    http://arxiv.org/abs/2011.07614v1

    • [stat.CO]Ultimate Pólya Gamma Samplers — Efficient MCMC for possibly imbalanced binary and categorical data
    Sylvia Frühwirth-Schnatter, Gregor Zens, Helga Wagner
    http://arxiv.org/abs/2011.06898v2

    • [stat.ME]A Probabilistic Model for Analyzing Summary Birth History Data
    Katie Wilson, Jon Wakefield
    http://arxiv.org/abs/2011.07129v1

    • [stat.ME]A family of smooth piecewise-linear models with probabilistic interpretations
    Ferreira, Iuri Emmanuel de Paula, Zocchi, Silvio Sandoval
    http://arxiv.org/abs/2011.07753v1

    • [stat.ME]A robust statistical method for Genome-wide association analysis of human copy number variation
    Han Wang, Changhu Wang, Linjie Wu, Ruibin Xi
    http://arxiv.org/abs/2011.07518v1

    • [stat.ME]Causal inference methods for combining randomized trials and observational studies: a review
    Bénédicte Colnet, Imke Mayer, Guanhua Chen, Awa Dieng, Ruohong Li, Gaël Varoquaux, Jean-Philippe Vert, Julie Josse, Shu Yang
    http://arxiv.org/abs/2011.08047v1

    • [stat.ME]Improving efficiency of inference in clinical trials with external control data
    Xinyu Li, Wang Miao, Fang Lu, Xiao-Hua Zhou
    http://arxiv.org/abs/2011.07234v1

    • [stat.ME]Inference for Maximin Effects: A Sampling Approach to Aggregating Heterogenous High-dimensional Regression Models
    Zijian Guo
    http://arxiv.org/abs/2011.07568v1

    • [stat.ME]Measurement Error in Meta-Analysis (MEMA) — a Bayesian framework for continuous outcome data
    Harlan Campbell, Valentijn M. T. de Jong, Lauren Maxwell, Thomas P. A. Debray, Thomas Jaenisch, Paul Gustafson
    http://arxiv.org/abs/2011.07186v1

    • [stat.ME]MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing
    Zihao Zheng, Aisha M. Mergaert, Irene M. Ong, Miriam A. Shelef, Michael A. Newton
    http://arxiv.org/abs/2011.07420v1

    • [stat.ME]New characterization based exponentiality tests for randomly censored data
    Marija Cuparić, Bojana Milošević
    http://arxiv.org/abs/2011.07998v1

    • [stat.ME]Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses
    Niklas Hartung, Martin Wahl, Abhishake Rastogi, Wilhelm Huisinga
    http://arxiv.org/abs/2011.07539v1

    • [stat.ME]Rank Determination in Tensor Factor Model
    Yuefeng Han, Cun-Hui Zhang, Rong Chen
    http://arxiv.org/abs/2011.07131v1

    • [stat.ME]Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models
    Ufuk Beyaztas, Han Lin Shang
    http://arxiv.org/abs/2011.07664v1

    • [stat.ME]Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data
    Mehrdad Naderi, Elham Mirfarah, Matthew Bernhardt, Ding-Geng Chen
    http://arxiv.org/abs/2011.07559v1

    • [stat.ME]Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
    Zhichao Jiang, Kosuke Imai
    http://arxiv.org/abs/2011.07677v1

    • [stat.ML]Adversarially Robust Classification based on GLRT
    Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani
    http://arxiv.org/abs/2011.07835v1

    • [stat.ML]An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression
    Evgenii Chzhen, Nicolas Schreuder
    http://arxiv.org/abs/2011.07158v1

    • [stat.ML]Bayesian recurrent state space model for rs-fMRI
    Arunesh Mittal, Scott Linderman, John Paisley, Paul Sajda
    http://arxiv.org/abs/2011.07365v1

    • [stat.ML]Coarse-grained and emergent distributed parameter systems from data
    Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis Kevrekidis
    http://arxiv.org/abs/2011.08138v1

    • [stat.ML]Convergence Properties of Stochastic Hypergradients
    Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
    http://arxiv.org/abs/2011.07122v1

    • [stat.ML]Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
    Uri Shaham, Jonathan Svirsky
    http://arxiv.org/abs/2011.07607v1

    • [stat.ML]Distributed Bandits: Probabilistic Communication on $d$-regular Graphs
    Udari Madhushani, Naomi Ehrich Leonard
    http://arxiv.org/abs/2011.07720v1

    • [stat.ML]Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
    Jincheng Bai, Qifan Song, Guang Cheng
    http://arxiv.org/abs/2011.07439v1

    • [stat.ML]Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes
    Minh Ha Quang
    http://arxiv.org/abs/2011.07489v1

    • [stat.ML]Factorized Gaussian Process Variational Autoencoders
    Metod Jazbec, Michael Pearce, Vincent Fortuin
    http://arxiv.org/abs/2011.07255v1

    • [stat.ML]MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling
    Mohammad Taha Toghani, Genevera I. Allen
    http://arxiv.org/abs/2011.07218v1

    • [stat.ML]Precision-Recall Curve (PRC) Classification Trees
    Jiaju Miao, Wei Zhu
    http://arxiv.org/abs/2011.07640v1

    • [stat.ML]Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
    Shengjia Zhao, Stefano Ermon
    http://arxiv.org/abs/2011.07476v1

    • [stat.ML]Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent
    Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
    http://arxiv.org/abs/2011.07142v1