astro-ph.EP - 地球与行星天体

    cond-mat.dis-nn - 无序系统与神经网络 cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DC - 分布式、并行与集群计算 cs.FL - 形式语言与自动机理论 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 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.SI - 社交网络与信息网络 econ.EM - 计量经济学 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.DG - 微分几何 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.med-ph - 医学物理学 q-bio.BM - 生物分子 q-bio.GN - 基因组学 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

    • [astro-ph.EP]Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
    • [cond-mat.dis-nn]Restricted Boltzmann Machine, recent advances and mean-field theory
    • [cond-mat.mtrl-sci]Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the $σ-$phase as an example
    • [cs.AI]A Bayesian Account of Measures of Interpretability in Human-AI Interaction
    • [cs.AI]A General Framework for Distributed Inference with Uncertain Models
    • [cs.AI]APAN: Asynchronous Propagate Attention Network for Real-time Temporal Graph Embedding
    • [cs.AI]BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
    • [cs.AI]Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games
    • [cs.AI]DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
    • [cs.AI]Explainable Composition of Aggregated Assistants
    • [cs.AI]FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network
    • [cs.AI]Language guided machine action
    • [cs.AI]Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games
    • [cs.AI]Reinforcement learning with distance-based incentive/penalty (DIP) updates for highly constrained industrial control systems
    • [cs.AI]Spatially Correlated Patterns in Adversarial Images
    • [cs.AI]Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
    • [cs.AI]Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
    • [cs.AR]Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
    • [cs.CG]Differentiable Computational Geometry for 2D and 3D machine learning
    • [cs.CG]Functions that Preserve Manhattan Distances
    • [cs.CG]The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology
    • [cs.CL]An Online Multilingual Hate speech Recognition System
    • [cs.CL]Athena: Constructing Dialogues Dynamically with Discourse Constraints
    • [cs.CL]Bi-ISCA: Bidirectional Inter-Sentence Contextual Attention Mechanism for Detecting Sarcasm in User Generated Noisy Short Text
    • [cs.CL]Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection
    • [cs.CL]Employing distributional semantics to organize task-focused vocabulary learning
    • [cs.CL]Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text
    • [cs.CL]Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
    • [cs.CL]LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
    • [cs.CL]STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
    • [cs.CL]Self-Supervised learning with cross-modal transformers for emotion recognition
    • [cs.CL]Sensing Ambiguity in Henry James’ “The Turn of the Screw”
    • [cs.CL]Standardizing linguistic data: method and tools for annotating (pre-orthographic) French
    • [cs.CL]Studying Taxonomy Enrichment on Diachronic WordNet Versions
    • [cs.CL]The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
    • [cs.CL]Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
    • [cs.CL]What do we expect from Multiple-choice QA Systems?
    • [cs.CR]Backdoor Attacks on the DNN Interpretation System
    • [cs.CR]TaiJi: Longest Chain Availability with BFT Fast Confirmation
    • [cs.CV]3D Registration for Self-Occluded Objects in Context
    • [cs.CV]A Closed-Form Solution to Local Non-Rigid Structure-from-Motion
    • [cs.CV]A Learning-based Optimization Algorithm:Image Registration Optimizer Network
    • [cs.CV]A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
    • [cs.CV]Abiotic Stress Prediction from RGB-T Images of Banana Plantlets
    • [cs.CV]Action Concept Grounding Network for Semantically-Consistent Video Generation
    • [cs.CV]Adversarial Refinement Network for Human Motion Prediction
    • [cs.CV]An Effective Anti-Aliasing Approach for Residual Networks
    • [cs.CV]An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
    • [cs.CV]Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control
    • [cs.CV]Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases
    • [cs.CV]Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
    • [cs.CV]BiOpt: Bi-Level Optimization for Few-Shot Segmentation
    • [cs.CV]Boundary-sensitive Pre-training for Temporal Localization in Videos
    • [cs.CV]Building a Parallel Universe Image Synthesis from Land Cover Maps and Auxiliary Raster Data
    • [cs.CV]CORAL: Colored structural representation for bi-modal place recognition
    • [cs.CV]Cancer image classification based on DenseNet model
    • [cs.CV]CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
    • [cs.CV]Characterization of Industrial Smoke Plumes from Remote Sensing Data
    • [cs.CV]Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks
    • [cs.CV]Complex-valued Iris Recognition Network
    • [cs.CV]Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks
    • [cs.CV]Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang’E-4
    • [cs.CV]Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights
    • [cs.CV]Deep Learning-Based Computer Vision for Real Time Intravenous Drip Infusion Monitoring
    • [cs.CV]Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma
    • [cs.CV]Dense open-set recognition with synthetic outliers generated by Real NVP
    • [cs.CV]DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
    • [cs.CV]Efficient embedding network for 3D brain tumor segmentation
    • [cs.CV]End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
    • [cs.CV]Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
    • [cs.CV]Evolving Search Space for Neural Architecture Search
    • [cs.CV]FP-NAS: Fast Probabilistic Neural Architecture Search
    • [cs.CV]Graph Attention Tracking
    • [cs.CV]HAWQV3: Dyadic Neural Network Quantization
    • [cs.CV]HDR Environment Map Estimation for Real-Time Augmented Reality
    • [cs.CV]Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance
    • [cs.CV]Hierachical Delta-Attention Method for Multimodal Fusion
    • [cs.CV]Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
    • [cs.CV]High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
    • [cs.CV]HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
    • [cs.CV]Imbalance Robust Softmax for Deep Embeeding Learning
    • [cs.CV]Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19
    • [cs.CV]Interpretable Visual Reasoning via Induced Symbolic Space
    • [cs.CV]Interpreting Super-Resolution Networks with Local Attribution Maps
    • [cs.CV]Iterative Text-based Editing of Talking-heads Using Neural Retargeting
    • [cs.CV]Joint Analysis and Prediction of Human Actions and Paths in Video
    • [cs.CV]Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
    • [cs.CV]Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition
    • [cs.CV]Legacy Photo Editing with Learned Noise Prior
    • [cs.CV]MoNet: Motion-based Point Cloud Prediction Network
    • [cs.CV]Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification
    • [cs.CV]Multiresolution Knowledge Distillation for Anomaly Detection
    • [cs.CV]NeuralAnnot: Neural Annotator for in-the-wild Expressive 3D Human Pose and Mesh Training Sets
    • [cs.CV]One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
    • [cs.CV]Open-Vocabulary Object Detection Using Captions
    • [cs.CV]PLOP: Learning without Forgetting for Continual Semantic Segmentation
    • [cs.CV]Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
    • [cs.CV]Pose2Pose: 3D Positional Pose-Guided 3D Rotational Pose Prediction for Expressive 3D Human Pose and Mesh Estimation
    • [cs.CV]QuerYD: A video dataset with high-quality textual and audio narrations
    • [cs.CV]RNNP: A Robust Few-Shot Learning Approach
    • [cs.CV]Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
    • [cs.CV]Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
    • [cs.CV]Registration of serial sections: An evaluation method based on distortions of the ground truths
    • [cs.CV]Rethinking Transformer-based Set Prediction for Object Detection
    • [cs.CV]Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning
    • [cs.CV]Robust Watermarking Using Inverse Gradient Attention
    • [cs.CV]RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
    • [cs.CV]SAMA-VTOL: A new unmanned aircraft system for remotely sensed data collection
    • [cs.CV]SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
    • [cs.CV]Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
    • [cs.CV]Stochastic Talking Face Generation Using Latent Distribution Matching
    • [cs.CV]Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
    • [cs.CV]TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
    • [cs.CV]The Selectivity and Competition of the Mind’s Eye in Visual Perception
    • [cs.CV]Transfer Learning for Oral Cancer Detection using Microscopic Images
    • [cs.CV]Transparent Object Tracking Benchmark
    • [cs.CV]Uncovering the Bias in Facial Expressions
    • [cs.CV]Video SemNet: Memory-Augmented Video Semantic Network
    • [cs.CV]Visual Recognition of Great Ape Behaviours in the Wild
    • [cs.CV]We don’t Need Thousand Proposals$\colon$ Single Shot Actor-Action Detection in Videos
    • [cs.CV]When and Why Test-Time Augmentation Works
    • [cs.CV]Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
    • [cs.CY]An Interactive Foreign Language Trainer Using Assessment and Feedback Modalities
    • [cs.CY]An application of cyberpsychology in business email compromise
    • [cs.CY]Development of Rubrics for Capstone Project Courses: Perspectives from Teachers and Students
    • [cs.CY]FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning
    • [cs.CY]How will AI and automation transform society and cities?
    • [cs.CY]Human computation requires and enables a new approach to ethical review
    • [cs.CY]Training Ethically Responsible AI Researchers: a Case Study
    • [cs.CY]Who’s Who in the Information Technology Research in the Philippines A Social Network Analysis
    • [cs.DC]Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
    • [cs.DC]HALO 1.0: A Hardware-agnostic Accelerator Orchestration Framework for Enabling Hardware-agnostic Programming with True Performance Portability for Heterogeneous HPC
    • [cs.DC]Managing Latency in Edge-Cloud Environment
    • [cs.DC]Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution
    • [cs.DC]Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges
    • [cs.DC]Study of Resource Amount Configuration for Automatic Application Offloading
    • [cs.DC]Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?
    • [cs.FL]Conformance Checking of Mixed-paradigm Process Models
    • [cs.GT]A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs
    • [cs.HC]Automated Quality Assessment of Hand Washing Using Deep Learning
    • [cs.HC]Effects of Human vs. Automatic Feedback on Students’ Understanding of AI Concepts and Programming Style
    • [cs.HC]GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
    • [cs.IR]Applying Multi-armed Bandit Algorithms to Computational Advertising
    • [cs.IR]Exploring the multimodal information from video content using deep learning features of appearance, audio and action for video recommendation
    • [cs.IT]Algorithmic random duality theory — large scale CLuP
    • [cs.IT]An Exploration of the Heterogeneous Unsourced MAC
    • [cs.IT]Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems
    • [cs.IT]Efficiently Estimating a Sparse Delay-Doppler Channel
    • [cs.IT]Lower Bound on the Capacity of the Continuous-Space SSFM Model of Optical Fiber
    • [cs.IT]Preimages of $p-$Linearized Polynomials over $\GF{p}$
    • [cs.IT]Rephased CLuP
    • [cs.IT]Sparse linear regression — CLuP achieves the ideal \emph{exact} ML
    • [cs.IT]Structural Properties of Optimal Test Channels for Distributed Source Coding with Decoder Side Information for Multivariate Gaussian Sources with Square-Error Fidelity
    • [cs.LG]A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
    • [cs.LG]A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
    • [cs.LG]A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks
    • [cs.LG]A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
    • [cs.LG]A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
    • [cs.LG]A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction
    • [cs.LG]AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
    • [cs.LG]Adversarial Classification: Necessary conditions and geometric flows
    • [cs.LG]An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
    • [cs.LG]Angular Embedding: A New Angular Robust Principal Component Analysis
    • [cs.LG]AutoGraph: Automated Graph Neural Network
    • [cs.LG]Balance Regularized Neural Network Models for Causal Effect Estimation
    • [cs.LG]CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
    • [cs.LG]Computation harvesting in road traffic dynamics
    • [cs.LG]Conjecturing-Based Computational Discovery of Patterns in Data
    • [cs.LG]Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking
    • [cs.LG]Detection and Classification of mental illnesses on social media using RoBERTa
    • [cs.LG]Distributed Deep Reinforcement Learning: An Overview
    • [cs.LG]Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments
    • [cs.LG]Effectiveness of MPC-friendly Softmax Replacement
    • [cs.LG]Emergent Road Rules In Multi-Agent Driving Environments
    • [cs.LG]Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
    • [cs.LG]Evolutionary Planning in Latent Space
    • [cs.LG]Evolutionary Planning in Latent Space
    • [cs.LG]Exploring Alternatives to Softmax Function
    • [cs.LG]Exploring Contrastive Learning in Human Activity Recognition for Healthcare
    • [cs.LG]Fairness-guided SMT-based Rectification of Decision Trees and Random Forests
    • [cs.LG]Federated learning with class imbalance reduction
    • [cs.LG]Generative Adversarial Simulator
    • [cs.LG]Geometry-Aware Universal Mirror-Prox
    • [cs.LG]IC Neuron: An Efficient Unit to Construct Neural Networks
    • [cs.LG]Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
    • [cs.LG]Integrating Deep Learning in Domain Sciences at Exascale
    • [cs.LG]LINDT: Tackling Negative Federated Learning with Local Adaptation
    • [cs.LG]LaHAR: Latent Human Activity Recognition using LDA
    • [cs.LG]Learn to Bind and Grow Neural Structures
    • [cs.LG]Learning Hidden Markov Models from Aggregate Observations
    • [cs.LG]Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
    • [cs.LG]Learning a Deep Generative Model like a Program: the Free Category Prior
    • [cs.LG]Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
    • [cs.LG]Manifold Partition Discriminant Analysis
    • [cs.LG]Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm
    • [cs.LG]Near-Optimal Data Source Selection for Bayesian Learning
    • [cs.LG]Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System
    • [cs.LG]Neural Group Testing to Accelerate Deep Learning
    • [cs.LG]Neural Network iLQR: A New Reinforcement Learning Architecture
    • [cs.LG]Neural collapse with unconstrained features
    • [cs.LG]On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
    • [cs.LG]On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
    • [cs.LG]On the Con
    82c
    vergence of Continuous Constrained Optimization for Structure Learning
    • [cs.LG]On the Convergence of Reinforcement Learning
    • [cs.LG]On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems
    • [cs.LG]Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
    • [cs.LG]Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
    • [cs.LG]Predictive process mining by network of classifiers and clusterers: the PEDF model
    • [cs.LG]ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation
    • [cs.LG]Ranking Neural Checkpoints
    • [cs.LG]Robust Gaussian Process Regression Based on Iterative Trimming
    • [cs.LG]Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
    • [cs.LG]Self-adapting Robustness in Demand Learning
    • [cs.LG]Sequential Targeting: an incremental learning approach for data imbalance in text classification
    • [cs.LG]Stable Weight Decay Regularization
    • [cs.LG]Stacked Graph Filter
    • [cs.LG]Statistical and computational thresholds for the planted $k$-densest sub-hypergraph problem
    • [cs.LG]The Emerging Trends of Multi-Label Learning
    • [cs.LG]Time Series Data Imputation: A Survey on Deep Learning Approaches
    • [cs.LG]Time series classification for predictive maintenance on event logs
    • [cs.LG]Towards Class-Specific Unit
    • [cs.LG]Uncorrelated Semi-paired Subspace Learning
    • [cs.LG]Unsupervised Difficulty Estimation with Action Scores
    • [cs.LG]Use of Student’s t-Distribution for the Latent Layer in a Coupled Variational Autoencoder
    • [cs.LG]V3H: Incomplete Multi-view Clustering via View Variation and View Heredity
    • [cs.LG]condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale
    • [cs.MM]MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
    • [cs.NE]Continuous Ant-Based Neural Topology Search
    • [cs.NE]Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
    • [cs.NE]Investigating Emotion-Color Association in Deep Neural Networks
    • [cs.NE]On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
    • [cs.NI]Efficient Broadcast for Timely Updates in Mobile Networks
    • [cs.RO]A Formal Approach to the Co-Design of Embodied Intelligence
    • [cs.RO]COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
    • [cs.RO]CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System
    • [cs.RO]Chitrakar: Robotic System for Drawing Jordan Curve of Facial Portrait
    • [cs.RO]Control and implementation of fluid-driven soft gripper with dynamic uncertainty of object
    • [cs.RO]Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception
    • [cs.RO]Elastic Interaction of Particles for Robotic Tactile Simulation
    • [cs.RO]Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators
    • [cs.RO]Imagination-enabled Robot Perception
    • [cs.RO]MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze
    • [cs.RO]Model Predictive Control for Micro Aerial Vehicles: A Survey
    • [cs.RO]Object Rearrangement Using Learned Implicit Collision Functions
    • [cs.RO]Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components
    • [cs.RO]Semantic SLAM with Autonomous Object-Level Data Association
    • [cs.RO]Semantic-Based VPS for Smartphone Localization in Challenging Urban Environments
    • [cs.RO]Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles
    • [cs.RO]The Dynamic of Body and Brain Co-Evolution
    • [cs.SD]Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
    • [cs.SI]Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
    • [cs.SI]Measuring Quadrangle Formation in Complex Networks
    • [cs.SI]Mining Influentials and their Bot Activities on Twitter Campaigns
    • [cs.SI]Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
    • [econ.EM]Non-Identifiability in Network Autoregressions
    • [eess.IV]Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning
    • [eess.IV]Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
    • [eess.IV]Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
    • [eess.SP]A Novel NOMA Solution with RIS Partitioning
    • [eess.SP]Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
    • [eess.SP]Modeling and Architecture Design of Intelligent Reflecting Surfaces using Scattering Parameter Network Analysis
    • [eess.SP]Monotonicity of the Trace-Inverse of Covariance Submatrices and Two-Sided Prediction
    • [eess.SY]A System for Automatic Rice Disease Detectionfrom Rice Paddy Images Serviced via a Chatbot
    • [eess.SY]Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting
    • [eess.SY]Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
    • [eess.SY]Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
    • [eess.SY]Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
    • [eess.SY]Risk-Sensitive Motion Planning using Entropic Value-at-Risk
    • [eess.SY]SymAR: Symmetry Abstractions and Refinement for Accelerating Scenarios with Neural Network Controllers Verification
    • [eess.SY]Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty
    • [math.CO]On cutting blocking sets and their codes
    • [math.DG]The dually flat structure for singular models
    • [math.OC]Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations
    • [math.OC]Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models
    • [math.ST]Asymptotics of the Empirical Bootstrap Method Beyond Asymptotic Normality
    • [math.ST]Least favorability of the uniform distribution for tests of the concavity of a distribution function
    • [math.ST]Level sets of depth measures and central dispersion in abstract spaces
    • [math.ST]Minimum Hellinger distance estimates for a periodically time-varying long memory parameter
    • [math.ST]Ordinary differential equations (ODE): metric entropy and nonasymptotic theory for noisy function fitting
    • [math.ST]Parameter estimation for threshold Ornstein-Uhlenbeck processes from discrete observations
    • [math.ST]Phase transition of graph Laplacian of high dimensional noisy random point cloud
    • [math.ST]Robust smoothed canonical correlation analysis for functional data
    • [math.ST]Weighted lens depth: Some applications to supervised classification
    • [physics.ao-ph]Deep-learning based down-scaling of summer monsoon rainfall data over Indian region
    • [physics.med-ph]MRI-Guided High Intensity Focused Ultrasound of Liver and Kidney
    • [q-bio.BM]Sparse generative modeling of protein-sequence families
    • [q-bio.GN]Topological Data Analysis of copy number alterations in cancer
    • [q-bio.GN]Using ontology embeddings for structural inductive bias in gene expression data analysis
    • [q-bio.NC]Autonomous learning of nonlocal stochastic neuron dynamics
    • [q-bio.PE]A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
    • [q-bio.QM]Data Mining Techniques in Predicting Breast Cancer
    • [quant-ph]Classical Shadows with Noise
    • [stat.AP]A Bayesian framework for patient-level partitioned survival cost-utility analysis
    • [stat.AP]Exploiting network information to disentangle spillover effects in a field experiment on teens’ museum attendance
    • [stat.AP]Integrating automated acoustic vocalization data and point count surveys for efficient estimation of bird abundance
    • [stat.AP]Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game
    • [stat.AP]Use of Computer Applications for Determining the Best Possible Runway Orientation using Wind Rose Diagrams
    • [stat.CO]Gonogo: An R Implementation of Test Methods to Perform, Analyze and Simulate Sensitivity Experiments
    • [stat.ME]Approximate Tolerance and Prediction in Non-normal Models with Application to Clinical Trial Recruitment and End-of-study Success
    • [stat.ME]Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
    • [stat.ME]Bayesian dose-regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics
    • [stat.ME]Conditional canonical correlation estimation based on covariates with random forests
    • [stat.ME]Data Driven Robust Estimation Methods for Fixed Effects Panel Data Models
    • [stat.ME]Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data
    • [stat.ME]On a Bayesian Approach to Malware Detection and Classification through $n$-gram Profiles
    • [stat.ME]Robust statistical inference for the matched net benefit and the matched win ratio using prioritized composite endpoints
    • [stat.ME]Sample size calculation for the Andersen-Gill model comparing rates of recurrent events
    • [stat.ML]A non-autonomous equation discovery method for time signal classification
    • [stat.ML]Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization
    • [stat.ML]Dimensionality reduction, regularization, and generalization in overparameterized regressions
    • [stat.ML]Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits
    • [stat.ML]Locally Linear Embedding and its Variants: Tutorial and Survey
    • [stat.ML]Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
    • [stat.ML]Online Orthogonal Matching Pursuit

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

    • [astro-ph.EP]Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
    Kai Hou Yip, Quentin Changeat, Nikolaos Nikolaou, Mario Morvan, Billy Edwards, Ingo P. Waldmann, Giovanna Tinetti
    http://arxiv.org/abs/2011.11284v1

    • [cond-mat.dis-nn]Restricted Boltzmann Machine, recent advances and mean-field theory
    Aurélien Decelle, Cyril Furtlehner
    http://arxiv.org/abs/2011.11307v1

    • [cond-mat.mtrl-sci]Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the $σ-$phase as an example
    Jean-Claude Crivello, Nataliya Sokolovska, Jean-Marc Joubert
    http://arxiv.org/abs/2011.10883v1

    • [cs.AI]A Bayesian Account of Measures of Interpretability in Human-AI Interaction
    Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati
    http://arxiv.org/abs/2011.10920v1

    • [cs.AI]A General Framework for Distributed Inference with Uncertain Models
    James Z. Hare, Cesar A. Uribe, Lance Kaplan, Ali Jadbabaie
    http://arxiv.org/abs/2011.10669v1

    • [cs.AI]APAN: Asynchronous Propagate Attention Network for Real-time Temporal Graph Embedding
    Xuhong Wang, Ding Lyu, Mengjian Li, Yang Xia, Qi Yang, Xinwen Wang, Xinguang Wang, Ping Cui, Yupu Yang, Bowen Sun, Zhenyu Guo
    http://arxiv.org/abs/2011.11545v1

    • [cs.AI]BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
    Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang
    http://arxiv.org/abs/2011.10804v1

    • [cs.AI]Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games
    Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
    http://arxiv.org/abs/2011.11517v1

    • [cs.AI]DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
    Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher Iskander Gaba, Ahmed Helal, Mohammed El-Razzaz
    http://arxiv.org/abs/2011.10970v1

    • [cs.AI]Explainable Composition of Aggregated Assistants
    Sarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasaman Khazaeni
    http://arxiv.org/abs/2011.10707v1

    • [cs.AI]FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network
    Dianbo Liu, He Zhu
    http://arxiv.org/abs/2011.11278v1

    • [cs.AI]Language guided machine action
    Feng Qi
    http://arxiv.org/abs/2011.11400v1

    • [cs.AI]Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games
    Tianrong Chen, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou
    http://arxiv.org/abs/2011.10890v1

    • [cs.AI]Reinforcement learning with distance-based incentive/penalty (DIP) updates for highly constrained industrial control systems
    Hyungjun Park, Daiki Min, Jong-hyun Ryu, Dong Gu Choi
    http://arxiv.org/abs/2011.10897v1

    • [cs.AI]Spatially Correlated Patterns in Adversarial Images
    Nandish Chattopadhyay, Lionell Yip En Zhi, Bryan Tan Bing Xing, Anupam Chattopadhyay
    http://arxiv.org/abs/2011.10794v1

    • [cs.AI]Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
    Alastair Finlinson, Sotiris Moschoyiannis
    http://arxiv.org/abs/2011.11358v1

    • [cs.AI]Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos
    Vitor Fortes Rey, Kamalveer Kaur Garewal, Paul Lukowicz
    http://arxiv.org/abs/2011.11600v1

    • [cs.AR]Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
    Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
    http://arxiv.org/abs/2011.10912v1

    • [cs.CG]Differentiable Computational Geometry for 2D and 3D machine learning
    Yuanxin Zhong
    http://arxiv.org/abs/2011.11134v1

    • [cs.CG]Functions that Preserve Manhattan Distances
    Timothy Chu, Gary Miller, Shyam Narayanan, Mark Sellke
    http://arxiv.org/abs/2011.11503v1

    • [cs.CG]The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology
    Megan Johnson, Jae-Hun Jung
    http://arxiv.org/abs/2011.11579v1

    • [cs.CL]An Online Multilingual Hate speech Recognition System
    Neeraj Vashistha, Arkaitz Zubiaga
    http://arxiv.org/abs/2011.11523v1

    • [cs.CL]Athena: Constructing Dialogues Dynamically with Discourse Constraints
    Vrindavan Harrison, Juraj Juraska, Wen Cui, Lena Reed, Kevin K. Bowden, Jiaqi Wu, Brian Schwarzmann, Abteen Ebrahimi, Rishi Rajasekaran, Nikhil Varghese, Max Wechsler-Azen, Steve Whittaker, Jeffrey Flanigan, Marilyn Walker
    http://arxiv.org/abs/2011.10683v1

    • [cs.CL]Bi-ISCA: Bidirectional Inter-Sentence Contextual Attention Mechanism for Detecting Sarcasm in User Generated Noisy Short Text
    Prakamya Mishra, Saroj Kaushik, Kuntal Dey
    http://arxiv.org/abs/2011.11465v1

    • [cs.CL]Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection
    Yadollah Yaghoobzadeh, Alexandre Rochette, Timothy J. Hazen
    http://arxiv.org/abs/2011.11090v1

    • [cs.CL]Employing distributional semantics to organize task-focused vocabulary learning
    Haemanth Santhi Ponnusamy, Detmar Meurers
    http://arxiv.org/abs/2011.11115v1

    • [cs.CL]Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text
    Ramchandra Joshi, Raviraj Joshi
    http://arxiv.org/abs/2011.11263v1

    • [cs.CL]Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
    Ondřej Dušek, Zdeněk Kasner
    http://arxiv.org/abs/2011.10819v1

    • [cs.CL]LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
    Weixin Liang, Feiyang Niu, Aishwarya Reganti, Govind Thattai, Gokhan Tur
    http://arxiv.org/abs/2011.10731v1

    • [cs.CL]STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
    Prakamya Mishra
    http://arxiv.org/abs/2011.11387v1

    • [cs.CL]Self-Supervised learning with cross-modal transformers for emotion recognition
    Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram
    http://arxiv.org/abs/2011.10652v1

    • [cs.CL]Sensing Ambiguity in Henry James’ “The Turn of the Screw”
    Victor Makarenkov, Yael Segalovitz
    http://arxiv.org/abs/2011.10832v1

    • [cs.CL]Standardizing linguistic data: method and tools for annotating (pre-orthographic) French
    Simon Gabay, Thibault Clérice, Jean-Baptiste Camps, Jean-Baptiste Tanguy, Matthias Gille-Levenson
    http://arxiv.org/abs/2011.11074v1

    • [cs.CL]Studying Taxonomy Enrichment on Diachronic WordNet Versions
    Irina Nikishina, Alexander Panchenko, Varvara Logacheva, Natalia Loukachevitch
    http://arxiv.org/abs/2011.11536v1

    • [cs.CL]The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
    Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Evgeny Kharitonov, Alexei Baevski, Ewan Dunbar, Emmanuel Dupoux
    http://arxiv.org/abs/2011.11588v1

    • [cs.CL]Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
    Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan
    http://arxiv.org/abs/2011.11499v1

    • [cs.CL]What do we expect from Multiple-choice QA Systems?
    Krunal Shah, Nitish Gupta, Dan Roth
    http://arxiv.org/abs/2011.10647v1

    • [cs.CR]Backdoor Attacks on the DNN Interpretation System
    Shihong Fang, Anna Choromanska
    http://arxiv.org/abs/2011.10698v1

    • [cs.CR]TaiJi: Longest Chain Availability with BFT Fast Confirmation
    Songze Li, David Tse
    http://arxiv.org/abs/2011.11097v1

    • [cs.CV]3D Registration for Self-Occluded Objects in Context
    Zheng Dang, Fei Wang, Mathieu Salzmann
    http://arxiv.org/abs/2011.11260v1

    • [cs.CV]A Closed-Form Solution to Local Non-Rigid Structure-from-Motion
    Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/2011.11567v1

    • [cs.CV]A Learning-based Optimization Algorithm:Image Registration Optimizer Network
    Jia Wang, Ping Wang, Biao Li, Yinghui Gao, Siyi Zhao
    http://arxiv.org/abs/2011.11365v1

    • [cs.CV]A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
    Di Feng, Ali Harakeh, Steven Waslander, Klaus Dietmayer
    http://arxiv.org/abs/2011.10671v1

    • [cs.CV]Abiotic Stress Prediction from RGB-T Images of Banana Plantlets
    Sagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel
    http://arxiv.org/abs/2011.11597v1

    • [cs.CV]Action Concept Grounding Network for Semantically-Consistent Video Generation
    Wei Yu, Wenxin Chen, Steve Easterbrook, Animesh Garg
    http://arxiv.org/abs/2011.11201v1

    • [cs.CV]Adversarial Refinement Network for Human Motion Prediction
    Xianjin Chao, Yanrui Bin, Wenqing Chu, Xuan Cao, Yanhao Ge, Chengjie Wang, Jilin Li, Feiyue Huang, Howard Leung
    http://arxiv.org/abs/2011.11221v1

    • [cs.CV]An Effective Anti-Aliasing Approach for Residual Networks
    Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin
    http://arxiv.org/abs/2011.10675v1

    • [cs.CV]An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
    Mohammad Golbabaee, Clarice Poon
    http://arxiv.org/abs/2011.11193v1

    • [cs.CV]Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control
    Lars Lien Ankile, Morgan Feet Heggland, Kjartan Krange
    http://arxiv.org/abs/2011.11257v1

    • [cs.CV]Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases
    Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2011.11190v1

    • [cs.CV]Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
    Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman
    http://arxiv.org/abs/2011.11630v1

    • [cs.CV]BiOpt: Bi-Level Optimization for Few-Shot Segmentation
    Jinlu Liu, Liang Song, Yongqiang Qin
    http://arxiv.org/abs/2011.11245v1

    • [cs.CV]Boundary-sensitive Pre-training for Temporal Localization in Videos
    Mengmeng Xu, Juan-Manuel Perez-Rua, Victor Escorcia, Brais Martinez, Xiatian Zhu, Bernard Ghanem, Tao Xiang
    http://arxiv.org/abs/2011.10830v1

    • [cs.CV]Building a Parallel Universe Image Synthesis from Land Cover Maps and Auxiliary Raster Data
    Gerald Baier, Antonin Deschemps, Michael Schmitt, Naoto Yokoya
    http://arxiv.org/abs/2011.11314v1

    • [cs.CV]CORAL: Colored structural representation for bi-modal place recognition
    Yiyuan Pan, Xuecheng Xu, Weijie Li, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2011.10934v1

    • [cs.CV]Cancer image classification based on DenseNet model
    Ziliang Zhong, Muhang Zheng, Huafeng Mai, Jianan Zhao, Xinyi Liu
    http://arxiv.org/abs/2011.11186v1

    • [cs.CV]CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
    James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong
    http://arxiv.org/abs/2011.10702v1

    • [cs.CV]Characterization of Industrial Smoke Plumes from Remote Sensing Data
    Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth
    http://arxiv.org/abs/2011.11344v1

    • [cs.CV]Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks
    Martin Kolarik, Radim Burget, Kamil Riha
    http://arxiv.org/abs/2011.11559v1

    • [cs.CV]Complex-valued Iris Recognition Network
    Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross
    http://arxiv.org/abs/2011.11198v1

    • [cs.CV]Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks
    Mahdi Biparva, John Tsotsos
    http://arxiv.org/abs/2011.10857v1

    • [cs.CV]Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang’E-4
    J. de Curtó, R. Duvall
    http://arxiv.org/abs/2011.11627v1

    • [cs.CV]Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights
    Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu
    http://arxiv.org/abs/2011.11378v1

    • [cs.CV]Deep Learning-Based Computer Vision for Real Time Intravenous Drip Infusion Monitoring
    Nicola Giaquinto, Marco Scarpetta, Maurizio Spadavecchia, Gregorio Andria
    http://arxiv.org/abs/2011.10839v1

    • [cs.CV]Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma
    Junli Cao, B. S., Junyan Wu, M. S., Jing W. Zhang, M. D., Ph. D., Jay J. Ye, M. D., Ph. D., Limin Yu, M. D., M. S
    http://arxiv.org/abs/2011.11081v1

    • [cs.CV]Dense open-set recognition with synthetic outliers generated by Real NVP
    Matej Grcić, Petra Bevandić, Siniša Šegvić
    http://arxiv.org/abs/2011.11094v1

    • [cs.CV]DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
    Lei Li, Suping Wu
    http://arxiv.org/abs/2011.10776v1

    • [cs.CV]Efficient embedding network for 3D brain tumor segmentation
    Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Said Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze
    http://arxiv.org/abs/2011.11052v1

    • [cs.CV]End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
    Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta
    http://arxiv.org/abs/2011.11078v1

    • [cs.CV]Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
    Brett D. Roads, Bradley C. Love
    http://arxiv.org/abs/2011.11015v1

    • [cs.CV]Evolving Search Space for Neural Architecture Search
    Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang
    http://arxiv.org/abs/2011.10904v1

    • [cs.CV]FP-NAS: Fast Probabilistic Neural Architecture Search
    Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
    http://arxiv.org/abs/2011.10949v1

    • [cs.CV]Graph Attention Tracking
    Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen
    http://arxiv.org/abs/2011.11204v1

    • [cs.CV]HAWQV3: Dyadic Neural Network Quantization
    Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer
    http://arxiv.org/abs/2011.10680v1

    • [cs.CV]HDR Environment Map Estimation for Real-Time Augmented Reality
    Gowri Somanath, Daniel Kurz
    http://arxiv.org/abs/2011.10687v1

    • [cs.CV]Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance
    Elhousni Mahdi, Huang Xinming, Zhang Ziming
    http://arxiv.org/abs/2011.10697v1

    • [cs.CV]Hierachical Delta-Attention Method for Multimodal Fusion
    Kunjal Panchal
    http://arxiv.org/abs/2011.10916v1

    • [cs.CV]Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
    Zehua Zhang, David Crandall
    http://arxiv.org/abs/2011.11261v1

    • [cs.CV]High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
    Anthony D. Rhodes, Manan Goel
    http://arxiv.org/abs/2011.11602v1

    • [cs.CV]HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
    Cheng Sun, Min Sun, Hwann-Tzong Chen
    http://arxiv.org/abs/2011.11498v1

    • [cs.CV]Imbalance Robust Softmax for Deep Embeeding Learning
    Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Robertson
    http://arxiv.org/abs/2011.11155v1

    • [cs.CV]Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19
    Ioannis D. Apostolopoulos, Mpesiana Tzani
    http://arxiv.org/abs/2011.11305v1

    • [cs.CV]Interpretable Visual Reasoning via Induced Symbolic Space
    Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
    http://arxiv.org/abs/2011.11603v1

    • [cs.CV]Interpreting Super-Resolution Networks with Local Attribution Maps
    Jinjin Gu, Chao Dong
    http://arxiv.org/abs/2011.11036v1

    • [cs.CV]Iterative Text-based Editing of Talking-heads Using Neural Retargeting
    Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
    http://arxiv.org/abs/2011.10688v1

    • [cs.CV]Joint Analysis and Prediction of Human Actions and Paths in Video
    Junwei Liang
    http://arxiv.org/abs/2011.10670v1

    • [cs.CV]Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
    Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang
    http://arxiv.org/abs/2011.10972v1

    • [cs.CV]Learnable Sampling 3D Convolution for Video Enhancement and Action Recognition
    Shuyang Gu, Jianmin Bao, Dong Chen
    http://arxiv.org/abs/2011.10974v1

    • [cs.CV]Legacy Photo Editing with Learned Noise Prior
    Zhao Yuzhi, Po Lai-Man, Wang Xuehui, Liu Kangcheng, Zhang Yujia, Yu Wing-Yin, Xian Pengfei, Xiong Jingjing
    http://arxiv.org/abs/2011.11309v1

    • [cs.CV]MoNet: Motion-based Point Cloud Prediction Network
    Fan Lu, Guang Chen, Yinlong Liu, Zhijun Li, Sanqing Qu, Tianpei Zou
    http://arxiv.org/abs/2011.10812v1

    • [cs.CV]Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification
    Chunping Qiu, Lukas Liebel, Lloyd H. Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu
    http://arxiv.org/abs/2011.11452v1

    • [cs.CV]Multiresolution Knowledge Distillation for Anomaly Detection
    Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee
    http://arxiv.org/abs/2011.11108v1

    • [cs.CV]NeuralAnnot: Neural Annotator for in-the-wild Expressive 3D Human Pose and Mesh Training Sets
    Gyeongsik Moon, Kyoung Mu Lee
    http://arxiv.org/abs/2011.11232v1

    • [cs.CV]One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
    Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas
    http://arxiv.org/abs/2011.10772v1

    • [cs.CV]Open-Vocabulary Object Detection Using Captions
    Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, Shih-Fu Chang
    http://arxiv.org/abs/2011.10678v1

    • [cs.CV]PLOP: Learning without Forgetting for Continual Semantic Segmentation
    Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
    http://arxiv.org/abs/2011.11390v1

    • [cs.CV]Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
    Martin Kolarik, Radim Burget, Carlos M. Travieso-Gonzalez, Jan Kocica
    http://arxiv.org/abs/2011.11557v1

    • [cs.CV]Pose2Pose: 3D Positional Pose-Guided 3D Rotational Pose Prediction for Expressive 3D Human Pose and Mesh Estimation
    Gyeongsik Moon, Kyoung Mu Lee
    http://arxiv.org/abs/2011.11534v1

    • [cs.CV]QuerYD: A video dataset with high-quality textual and audio narrations
    Andreea-Maria Oncescu, Jõao F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
    http://arxiv.org/abs/2011.11071v1

    • [cs.CV]RNNP: A Robust Few-Shot Learning Approach
    Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
    http://arxiv.org/abs/2011.11067v1

    • [cs.CV]Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
    Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth
    http://arxiv.org/abs/2011.10893v1

    • [cs.CV]Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
    Zheng Wang, Xin Yuan, Toshihiko Yamasaki, Yutian Lin, Xin Xu, Wenjun Zeng
    http://arxiv.org/abs/2011.11506v1

    • [cs.CV]Registration of serial sections: An evaluation method based on distortions of the ground truths
    Oleg Lobachev, Takuya Funatomi, Alexander Pfaffenroth, Reinhold Förster, Lars Knudsen, Christoph Wrede, Michael Guthe, David Haberthür, Ruslan Hlushchuk, Thomas Salaets, Jaan Toelen, Simone Gaffling, Christian Mühlfeld, Roman Grothausmann
    http://arxiv.org/abs/2011.11060v1

    • [cs.CV]Rethinking Transformer-based Set Prediction for Object Detection
    Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani
    http://arxiv.org/abs/2011.10881v1

    • [cs.CV]Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning
    Xinzheng Zhang, Hang Su, Ce Zhang, Xiaowei Gu, Xiaoheng Tan, Peter M. Atkinson
    http://arxiv.org/abs/2011.11005v1

    • [cs.CV]Robust Watermarking Using Inverse Gradient Attention
    Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen
    http://arxiv.org/abs/2011.10850v1

    • [cs.CV]RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
    Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula
    http://arxiv.org/abs/2011.11572v1

    • [cs.CV]SAMA-VTOL: A new unmanned aircraft system for remotely sensed data collection
    Mohammad R. Bayanlou, Mehdi Khoshboresh-Masouleh
    http://arxiv.org/abs/2011.11007v1

    • [cs.CV]SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
    Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing-Yin Yu, Yasar Abbas Ur Rehman
    http://arxiv.org/abs/2011.11377v1

    • [cs.CV]Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement
    Angel Villar-Corrales, Veniamin I. Morgenshtern
    http://arxiv.org/abs/2011.11586v1

    • [cs.CV]Stochastic Talking Face Generation Using Latent Distribution Matching
    Ravindra Yadav, Ashish Sardana, Vinay P Namboodiri, Rajesh M Hegde
    http://arxiv.org/abs/2011.10727v1

    • [cs.CV]Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
    Qing Zhu, Qishen Shang, Han Hu, Haojia Yu
    http://arxiv.org/abs/2011.11210v1

    • [cs.CV]TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
    Humam Alwassel, Silvio Giancola, Bernard Ghanem
    http://arxiv.org/abs/2011.11479v1

    • [cs.CV]The Selectivity and Competition of the Mind’s Eye in Visual Perception
    Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
    http://arxiv.org/abs/2011.11167v1

    • [cs.CV]Transfer Learning for Oral Cancer Detection using Microscopic Images
    Rutwik Palaskar, Renu Vyas, Vilas Khedekar, Sangeeta Palaskar, Pranjal Sahu
    http://arxiv.org/abs/2011.11610v1

    • [cs.CV]Transparent Object Tracking Benchmark
    Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling
    http://arxiv.org/abs/2011.10875v1

    • [cs.CV]Uncovering the Bias in Facial Expressions
    Jessica Deuschel, Bettina Finzel, Ines Rieger
    http://arxiv.org/abs/2011.11311v1

    • [cs.CV]Video SemNet: Memory-Augmented Video Semantic Network
    Prashanth Vijayaraghavan, Deb Roy
    http://arxiv.org/abs/2011.10909v1

    • [cs.CV]Visual Recognition of Great Ape Behaviours in the Wild
    Faizaan Sakib, Tilo Burghardt
    http://arxiv.org/abs/2011.10759v1

    • [cs.CV]We don’t Need Thousand Proposals$\colon$ Single Shot Actor-Action Detection in Videos
    Aayush J Rana, Yogesh S Rawat
    http://arxiv.org/abs/2011.10927v1

    • [cs.CV]When and Why Test-Time Augmentation Works
    Divya Shanmugam, Davis Blalock, Guha Balakrishnan, John Guttag
    http://arxiv.org/abs/2011.11156v1

    • [cs.CV]Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings
    Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer
    http://arxiv.org/abs/2011.10889v1

    • [cs.CY]An Interactive Foreign Language Trainer Using Assessment and Feedback Modalities
    Rosalyn P. Reyes, Evelyn C. Samson, Julius G. Garcia
    http://arxiv.org/abs/2011.11525v1

    • [cs.CY]An application of cyberpsychology in business email compromise
    Shadrack Awah Buo
    http://arxiv.org/abs/2011.11112v1

    • [cs.CY]Development of Rubrics for Capstone Project Courses: Perspectives from Teachers and Students
    Rex P. Bringula
    http://arxiv.org/abs/2011.11035v1

    • [cs.CY]FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning
    Maria Kalantzi, Agoritsa Polyzou, George Karypis
    http://arxiv.org/abs/2011.11611v1

    • [cs.CY]How will AI and automation transform society and cities?
    Gevorg Yeghikyan
    http://arxiv.org/abs/2011.11095v1

    • [cs.CY]Human computation requires and enables a new approach to ethical review
    Libuše Hannah Vepřek, Patricia Seymour, Pietro Michelucci
    http://arxiv.org/abs/2011.10754v1

    • [cs.CY]Training Ethically Responsible AI Researchers: a Case Study
    Hang Yuan, Claudia Vanea, Federica Lucivero, Nina Hallowell
    http://arxiv.org/abs/2011.11393v1

    • [cs.CY]Who’s Who in the Information Technology Research in the Philippines A Social Network Analysis
    Rex Bringula, Ma. Carmela Racelis, Rey C. Rodrigueza
    http://arxiv.org/abs/2011.11033v1

    • [cs.DC]Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
    Nazar Emirov, Cheng Cheng, Qiyu Sun, Zhihua Qu
    http://arxiv.org/abs/2011.11223v1

    • [cs.DC]HALO 1.0: A Hardware-agnostic Accelerator Orchestration Framework for Enabling Hardware-agnostic Programming with True Performance Portability for Heterogeneous HPC
    Michael Riera, Erfan Bank Tavakoli, Masudul Hassan Quraishi, Fengbo Ren
    http://arxiv.org/abs/2011.10896v1

    • [cs.DC]Managing Latency in Edge-Cloud Environment
    Lubomír Bulej, Tomáš Bureš, Adam Filandr, Petr Hnětynka, Iveta Hnětynkova, Jan Pacovský, Gabor Sandor, Ilias Gerostathopoulos
    http://arxiv.org/abs/2011.11450v1

    • [cs.DC]Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution
    Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao
    http://arxiv.org/abs/2011.11082v1

    • [cs.DC]Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges
    Wayes Tushar, Chau Yuen, Tapan Saha, Thomas Morstyn, Archie Chapman, M. Jan E Alam, Sarmad Hanif, H. Vincent Poor
    http://arxiv.org/abs/2011.11118v1

    • [cs.DC]Study of Resource Amount Configuration for Automatic Application Offloading
    Yoji Yamato
    http://arxiv.org/abs/2011.10645v1

    • [cs.DC]Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?
    Jaeyoung Song, Marios Kountouris
    http://arxiv.org/abs/2011.10894v1

    • [cs.FL]Conformance Checking of Mixed-paradigm Process Models
    Boudewijn van Dongen, Johannes De Smedt, Claudio Di Ciccio, Jan Mendling
    http://arxiv.org/abs/2011.11551v1

    • [cs.GT]A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs
    Jiahua Xu, Damien Ackerer, Alevtina Dubovitskaya
    http://arxiv.org/abs/2011.11325v1

    • [cs.HC]Automated Quality Assessment of Hand Washing Using Deep Learning
    Maksims Ivanovs, Roberts Kadikis, Martins Lulla, Aleksejs Rutkovskis, Atis Elsts
    http://arxiv.org/abs/2011.11383v1

    • [cs.HC]Effects of Human vs. Automatic Feedback on Students’ Understanding of AI Concepts and Programming Style
    Abe Leite, Saúl A. Blanco
    http://arxiv.org/abs/2011.10653v1

    • [cs.HC]GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
    Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
    http://arxiv.org/abs/2011.11048v1

    • [cs.IR]Applying Multi-armed Bandit Algorithms to Computational Advertising
    Kazem Jahanbakhsh
    http://arxiv.org/abs/2011.10919v1

    • [cs.IR]Exploring the multimodal information from video content using deep learning features of appearance, audio and action for video recommendation
    A. Almeida, J. P. de Villiers, A. De Freitas, M. Velayudan
    http://arxiv.org/abs/2011.10834v1

    • [cs.IT]Algorithmic random duality theory — large scale CLuP
    Mihailo Stojnic
    http://arxiv.org/abs/2011.11516v1

    • [cs.IT]An Exploration of the Heterogeneous Unsourced MAC
    Allen Hao, Stefano Rini, Vamsi Amalladinne, Asit Kumar Pradhan, Jean-Francois Chamberland
    http://arxiv.org/abs/2011.10900v1

    • [cs.IT]Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems
    Kareem M. Attiah, Foad Sohrabi, Wei Yu
    http://arxiv.org/abs/2011.10709v1

    • [cs.IT]Efficiently Estimating a Sparse Delay-Doppler Channel
    Alisha Zachariah
    http://arxiv.org/abs/2011.10849v1

    • [cs.IT]Lower Bound on the Capacity of the Continuous-Space SSFM Model of Optical Fiber
    Milad Sefidgaran, Mansoor Yousefi
    http://arxiv.org/abs/2011.11341v1

    • [cs.IT]Preimages of $p-$Linearized Polynomials over $\GF{p}$
    Kwang Ho Kim, Sihem Mesnager, Jong Hyok Choe, Dok Nam Lee
    http://arxiv.org/abs/2011.10954v1

    • [cs.IT]Rephased CLuP
    Mihailo Stojnic
    http://arxiv.org/abs/2011.11527v1

    • [cs.IT]Sparse linear regression — CLuP achieves the ideal \emph{exact} ML
    Mihailo Stojnic
    http://arxiv.org/abs/2011.11550v1

    • [cs.IT]Structural Properties of Optimal Test Channels for Distributed Source Coding with Decoder Side Information for Multivariate Gaussian Sources with Square-Error Fidelity
    Michail Gkagkos, Charalambos D. Charalambous
    http://arxiv.org/abs/2011.10941v1

    • [cs.LG]A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
    Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis
    http://arxiv.org/abs/2011.11066v1

    • [cs.LG]A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations
    Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow
    http://arxiv.org/abs/2011.10867v1

    • [cs.LG]A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks
    Marcello Serqueira, Pedro González, Eduardo Bezerra
    http://arxiv.org/abs/2011.11062v1

    • [cs.LG]A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
    Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu
    http://arxiv.org/abs/2011.10741v1

    • [cs.LG]A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
    Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park
    http://arxiv.org/abs/2011.10715v1

    • [cs.LG]A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction
    Pratik Ratadiya, Khushi Asawa, Omkar Nikhal
    http://arxiv.org/abs/2011.10981v1

    • [cs.LG]AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
    Jiawei Zhu, Chao Tao, Hanhan Deng, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li
    http://arxiv.org/abs/2011.11004v1

    • [cs.LG]Adversarial Classification: Necessary conditions and geometric flows
    Nicolas Garcia Trillos, Ryan Murray
    http://arxiv.org/abs/2011.10797v1

    • [cs.LG]An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
    Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
    http://arxiv.org/abs/2011.11235v1

    • [cs.LG]Angular Embedding: A New Angular Robust Principal Component Analysis
    Shenglan Liu, Yang Yu
    http://arxiv.org/abs/2011.11013v1

    • [cs.LG]AutoGraph: Automated Graph Neural Network
    Yaoman Li, Irwin King
    http://arxiv.org/abs/2011.11288v1

    • [cs.LG]Balance Regularized Neural Network Models for Causal Effect Estimation
    Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer
    http://arxiv.org/abs/2011.11199v1

    • [cs.LG]CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
    Junnan Li, Caiming Xiong, Steven Hoi
    http://arxiv.org/abs/2011.11183v1

    • [cs.LG]Computation harvesting in road traffic dynamics
    Hiroyasu Ando, T. Okamoto, H. Chang, T. Noguchi, Shinji Nakaoka
    http://arxiv.org/abs/2011.10744v1

    • [cs.LG]Conjecturing-Based Computational Discovery of Patterns in Data
    J. P. Brooks, D. J. Edwards, C. E. Larson, N. Van Cleemput
    http://arxiv.org/abs/2011.11576v1

    • [cs.LG]Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking
    Leonid Antsfeld, Boris Chidlovskii, Emilio Sansano-Sansano
    http://arxiv.org/abs/2011.10799v1

    • [cs.LG]Detection and Classification of mental illnesses on social media using RoBERTa
    Ankit Murarka, Balaji Radhakrishnan, Sushma Ravichandran
    http://arxiv.org/abs/2011.11226v1

    • [cs.LG]Distributed Deep Reinforcement Learning: An Overview
    Mohammad Reza Samsami, Hossein Alimadad
    http://arxiv.org/abs/2011.11012v1

    • [cs.LG]Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments
    Elahe Aghapour, Nora Ayanian
    http://arxiv.org/abs/2011.10714v1

    • [cs.LG]Effectiveness of MPC-friendly Softmax Replacement
    Marcel Keller, Ke Sun
    http://arxiv.org/abs/2011.11202v1

    • [cs.LG]Emergent Road Rules In Multi-Agent Driving Environments
    Avik Pal, Jonah Philion, Yuan-Hong Liao, Sanja Fidler
    http://arxiv.org/abs/2011.10753v1

    • [cs.LG]Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
    Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew Plumptre, Milind Tambe
    http://arxiv.org/abs/2011.10666v1

    • [cs.LG]Evolutionary Planning in Latent Space
    Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi
    http://arxiv.org/abs/2011
    8eb
    .11293v1
    8eb
    .11293v1)

    • [cs.LG]Evolutionary Planning in Latent Space
    Thor V. A. N. Olesen, Dennis T. T. Nguyen, Rasmus Berg Palm, Sebastian Risi
    http://arxiv.org/abs/2011.11293v1

    • [cs.LG]Exploring Alternatives to Softmax Function
    Kunal Banerjee, Vishak Prasad C, Rishi Raj Gupta, Karthik Vyas, Anushree H, Biswajit Mishra
    http://arxiv.org/abs/2011.11538v1

    • [cs.LG]Exploring Contrastive Learning in Human Activity Recognition for Healthcare
    Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo
    http://arxiv.org/abs/2011.11542v1

    • [cs.LG]Fairness-guided SMT-based Rectification of Decision Trees and Random Forests
    Jiang Zhang, Ivan Beschastnikh, Sergey Mechtaev, Abhik Roychoudhury
    http://arxiv.org/abs/2011.11001v1

    • [cs.LG]Federated learning with class imbalance reduction
    Miao Yang, Akitanoshou Wong, Hongbin Zhu, Haifeng Wang, Hua Qian
    http://arxiv.org/abs/2011.11266v1

    • [cs.LG]Generative Adversarial Simulator
    Jonathan Raiman
    http://arxiv.org/abs/2011.11472v1

    • [cs.LG]Geometry-Aware Universal Mirror-Prox
    Reza Babanezhad, Simon Lacoste-Julien
    http://arxiv.org/abs/2011.11203v1

    • [cs.LG]IC Neuron: An Efficient Unit to Construct Neural Networks
    Junyi An, Fengshan Liu, Jian Zhao, Furao Shen
    http://arxiv.org/abs/2011.11271v1

    • [cs.LG]Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
    Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
    http://arxiv.org/abs/2011.11369v1

    • [cs.LG]Integrating Deep Learning in Domain Sciences at Exascale
    Rick Archibald, Edmond Chow, Eduardo D’Azevedo, Jack Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
    http://arxiv.org/abs/2011.11188v1

    • [cs.LG]LINDT: Tackling Negative Federated Learning with Local Adaptation
    Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu
    http://arxiv.org/abs/2011.11160v1

    • [cs.LG]LaHAR: Latent Human Activity Recognition using LDA
    Zeyd Boukhers, Danniene Wete, Steffen Staab
    http://arxiv.org/abs/2011.11151v1

    • [cs.LG]Learn to Bind and Grow Neural Structures
    Azhar Shaikh, Nishant Sinha
    http://arxiv.org/abs/2011.10568v1

    • [cs.LG]Learning Hidden Markov Models from Aggregate Observations
    Rahul Singh, Qinsheng Zhang, Yongxin Chen
    http://arxiv.org/abs/2011.11236v1

    • [cs.LG]Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
    Ziang Long, Penghang Yin, Jack Xin
    http://arxiv.org/abs/2011.11256v1

    • [cs.LG]Learning a Deep Generative Model like a Program: the Free Category Prior
    Eli Sennesh
    http://arxiv.org/abs/2011.11063v1

    • [cs.LG]Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
    Jiafan He, Dongruo Zhou, Quanquan Gu
    http://arxiv.org/abs/2011.11566v1

    • [cs.LG]Manifold Partition Discriminant Analysis
    Yang Zhou, Shiliang Sun
    http://arxiv.org/abs/2011.11521v1

    • [cs.LG]Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm
    Zhenyu Shou, Xuan Di
    http://arxiv.org/abs/2011.10915v1

    • [cs.LG]Near-Optimal Data Source Selection for Bayesian Learning
    Lintao Ye, Aritra Mitra, Shreyas Sundaram
    http://arxiv.org/abs/2011.10712v1

    • [cs.LG]Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System
    Junhyeok Ahn, Luis Sentis
    http://arxiv.org/abs/2011.10605v1

    • [cs.LG]Neural Group Testing to Accelerate Deep Learning
    Weixin Liang, James Zou
    http://arxiv.org/abs/2011.10704v1

    • [cs.LG]Neural Network iLQR: A New Reinforcement Learning Architecture
    Zilong Cheng, Jun Ma, Xiaoxue Zhang, Frank L. Lewis, Tong Heng Lee
    http://arxiv.org/abs/2011.10737v1

    • [cs.LG]Neural collapse with unconstrained features
    Dustin G. Mixon, Hans Parshall, Jianzong Pi
    http://arxiv.org/abs/2011.11619v1

    • [cs.LG]On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
    Sitan Chen, Zhao Song, Danyang Zhuo
    http://arxiv.org/abs/2011.11181v1

    • [cs.LG]On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
    Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit Dhillon
    http://arxiv.org/abs/2011.10643v1

    • [cs.LG]On the Con
    82c
    vergence of Continuous Constrained Optimization for Structure Learning
    Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien
    http://arxiv.org/abs/2011.11150v1

    • [cs.LG]On the Convergence of Reinforcement Learning
    Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed
    http://arxiv.org/abs/2011.10829v1

    • [cs.LG]On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems
    Jacobo Ayensa-Jiménez, Mohamed H. Doweidar, Jose A. Sanz-Herrera, Manuel Doblaré
    http://arxiv.org/abs/2011.11376v1

    • [cs.LG]Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
    Gauthier Guinet, Valerio Peronne, Cédric Archambeau
    http://arxiv.org/abs/2011.11456v1

    • [cs.LG]Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
    Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
    http://arxiv.org/abs/2011.10824v1

    • [cs.LG]Predictive process mining by network of classifiers and clusterers: the PEDF model
    Amir Mohammad Esmaieeli Sikaroudi, Md Habibor Rahman
    http://arxiv.org/abs/2011.11136v1

    • [cs.LG]ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation
    Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang
    http://arxiv.org/abs/2011.11233v1

    • [cs.LG]Ranking Neural Checkpoints
    Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong
    http://arxiv.org/abs/2011.11200v1

    • [cs.LG]Robust Gaussian Process Regression Based on Iterative Trimming
    Zhao-Zhou Li, Lu Li, Zhengyi Shao
    http://arxiv.org/abs/2011.11057v1

    • [cs.LG]Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
    Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang
    http://arxiv.org/abs/2011.10944v1

    • [cs.LG]Self-adapting Robustness in Demand Learning
    Boxiao Chen, Selvaprabu Nadarajah, Parshan Pakiman, Stefanus Jasin
    http://arxiv.org/abs/2011.10690v1

    • [cs.LG]Sequential Targeting: an incremental learning approach for data imbalance in text classification
    Joel Jang, Yoonjeon Kim, Kyoungho Choi, Sungho Suh
    http://arxiv.org/abs/2011.10216v2

    • [cs.LG]Stable Weight Decay Regularization
    Zeke Xie, Issei Sato, Masashi Sugiyama
    http://arxiv.org/abs/2011.11152v1

    • [cs.LG]Stacked Graph Filter
    Hoang NT, Takanori Maehara, Tsuyoshi Murata
    http://arxiv.org/abs/2011.10988v1

    • [cs.LG]Statistical and computational thresholds for the planted $k$-densest sub-hypergraph problem
    Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
    http://arxiv.org/abs/2011.11500v1

    • [cs.LG]The Emerging Trends of Multi-Label Learning
    Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang
    http://arxiv.org/abs/2011.11197v1

    • [cs.LG]Time Series Data Imputation: A Survey on Deep Learning Approaches
    Chenguang Fang, Chen Wang
    http://arxiv.org/abs/2011.11347v1

    • [cs.LG]Time series classification for predictive maintenance on event logs
    Antoine Guillaume, Christel Vrain, Elloumi Wael
    http://arxiv.org/abs/2011.10996v1

    • [cs.LG]Towards Class-Specific Unit
    Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu
    http://arxiv.org/abs/2011.10951v1

    • [cs.LG]Uncorrelated Semi-paired Subspace Learning
    Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li
    http://arxiv.org/abs/2011.11124v1

    • [cs.LG]Unsupervised Difficulty Estimation with Action Scores
    Octavio Arriaga, Matias Valdenegro-Toro
    http://arxiv.org/abs/2011.11461v1

    • [cs.LG]Use of Student’s t-Distribution for the Latent Layer in a Coupled Variational Autoencoder
    Kevin R. Chen, Daniel Svoboda, Kenric P. Nelson
    http://arxiv.org/abs/2011.10879v1

    • [cs.LG]V3H: Incomplete Multi-view Clustering via View Variation and View Heredity
    Xiang Fang, Yuchong Hu, Pan Zhou, Dapeng Oliver Wu
    http://arxiv.org/abs/2011.11194v1

    • [cs.LG]condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale
    HyeongChan Jo, Juhyun Kim, Tzu-Chen Huang, Yu-Li Ni
    http://arxiv.org/abs/2011.11507v1

    • [cs.MM]MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
    Ekraam Sabir, Ayush Jaiswal, Wael AbdAlmageed, Prem Natarajan
    http://arxiv.org/abs/2011.11286v1

    • [cs.NE]Continuous Ant-Based Neural Topology Search
    AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
    http://arxiv.org/abs/2011.10831v1

    • [cs.NE]Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
    Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik Goodman
    http://arxiv.org/abs/2011.10760v1

    • [cs.NE]Investigating Emotion-Color Association in Deep Neural Networks
    Shivi Gupta, Shashi Kant Gupta
    http://arxiv.org/abs/2011.11058v1

    • [cs.NE]On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
    Melika Payvand, Mohammed E. Fouda, Fadi Kurdahi, Ahmed M. Eltawil, Emre O. Neftci
    http://arxiv.org/abs/2011.10852v1

    • [cs.NI]Efficient Broadcast for Timely Updates in Mobile Networks
    Yu-Pin Hsu
    http://arxiv.org/abs/2011.11463v1

    • [cs.RO]A Formal Approach to the Co-Design of Embodied Intelligence
    Gioele Zardini, Dejan Milojevic, Andrea Censi, Emilio Frazzoli
    http://arxiv.org/abs/2011.10756v1

    • [cs.RO]COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
    Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho
    http://arxiv.org/abs/2011.11270v1

    • [cs.RO]CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System
    Yuewen Zhu, Chunran Zheng, Chongjian Yuan, Xu Huang, Xiaoping Hong
    http://arxiv.org/abs/2011.11357v1

    • [cs.RO]Chitrakar: Robotic System for Drawing Jordan Curve of Facial Portrait
    Aniruddha Singhal, Ayush Kumar, Shivam Thukral, Deepak Raina, Swagat Kumar
    http://arxiv.org/abs/2011.10781v1

    • [cs.RO]Control and implementation of fluid-driven soft gripper with dynamic uncertainty of object
    Amirhosein Alian, Mohammad Zareinejad, Heidar Ali Talebi
    http://arxiv.org/abs/2011.10822v1

    • [cs.RO]Data-driven Holistic Framework for Automated Laparoscope Optimal View Control with Learning-based Depth Perception
    Bin Li, Bo Lu, Yiang Lu, Qi Dou, Yun-Hui Liu
    http://arxiv.org/abs/2011.11241v1

    • [cs.RO]Elastic Interaction of Particles for Robotic Tactile Simulation
    Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun
    http://arxiv.org/abs/2011.11528v1

    • [cs.RO]Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators
    Claudia Pérez-D’Arpino, Rebecca P. Khurshid, Julie A. Shah
    http://arxiv.org/abs/2011.10898v1

    • [cs.RO]Imagination-enabled Robot Perception
    Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz
    http://arxiv.org/abs/2011.11397v1

    • [cs.RO]MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze
    Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice
    http://arxiv.org/abs/2011.11552v1

    • [cs.RO]Model Predictive Control for Micro Aerial Vehicles: A Survey
    Huan Nguyen, Mina Kamel, Kostas Alexis, Roland Siegwart
    http://arxiv.org/abs/2011.11104v1

    • [cs.RO]Object Rearrangement Using Learned Implicit Collision Functions
    Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox
    http://arxiv.org/abs/2011.10726v1

    • [cs.RO]Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components
    Joseph A. Vincent, Mac Schwager
    http://arxiv.org/abs/2011.11609v1

    • [cs.RO]Semantic SLAM with Autonomous Object-Level Data Association
    Zhentian Qian, Kartik Patath, Jie Fu, Jing Xiao
    http://arxiv.org/abs/2011.10625v1

    • [cs.RO]Semantic-Based VPS for Smartphone Localization in Challenging Urban Environments
    Max Jwo Lem Lee, Li-Ta Hsu, Hoi-Fung Ng, Shang Lee
    http://arxiv.org/abs/2011.10743v1

    • [cs.RO]Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles
    Kunming Li, Mao Shan, Karan Narula, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2011.11191v1

    • [cs.RO]The Dynamic of Body and Brain Co-Evolution
    Paolo Pagliuca, Stefano Nolfi
    http://arxiv.org/abs/2011.11440v1

    • [cs.SD]Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
    Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
    http://arxiv.org/abs/2011.11436v1

    • [cs.SI]Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
    Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava
    http://arxiv.org/abs/2011.10817v1

    • [cs.SI]Measuring Quadrangle Formation in Complex Networks
    Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
    http://arxiv.org/abs/2011.10763v1

    • [cs.SI]Mining Influentials and their Bot Activities on Twitter Campaigns
    Shanika Karunasekera, Kwan Hui Lim, Aaron Harwood
    http://arxiv.org/abs/2011.11010v1

    • [cs.SI]Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
    Antonela Tommasel, Daniela Godoy, Juan Manuel Rodriguez
    http://arxiv.org/abs/2011.11024v1

    • [econ.EM]Non-Identifiability in Network Autoregressions
    Federico Martellosio
    http://arxiv.org/abs/2011.11084v1

    • [eess.IV]Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning
    Lauren Michelle Pfeifer, Matias Valdenegro-Toro
    http://arxiv.org/abs/2011.11459v1

    • [eess.IV]Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
    Qinwen Huang, Ye Zhou, Xiaochen Du, Reed Chen, Jianyou Wang, Cynthia Rudin, Alberto Bartesaghi
    http://arxiv.org/abs/2011.11020v1

    • [eess.IV]Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
    Dhanunjaya Mitta, Soumick Chatterjee, Andreas Nürnberger
    http://arxiv.org/abs/2011.10654v1

    • [eess.SP]A Novel NOMA Solution with RIS Partitioning
    Aymen Khaleel, Ertugrul Basar
    http://arxiv.org/abs/2011.10977v1

    • [eess.SP]Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
    Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li
    http://arxiv.org/abs/2011.11128v1

    • [eess.SP]Modeling and Architecture Design of Intelligent Reflecting Surfaces using Scattering Parameter Network Analysis
    Shanpu Shen, Bruno Clerckx, Ross Murch
    http://arxiv.org/abs/2011.11362v1

    • [eess.SP]Monotonicity of the Trace-Inverse of Covariance Submatrices and Two-Sided Prediction
    Anatoly Khina, Arie Yeredor, Ram Zamir
    http://arxiv.org/abs/2011.10810v1

    • [eess.SY]A System for Automatic Rice Disease Detectionfrom Rice Paddy Images Serviced via a Chatbot
    Pitchayagan Temniranrat, Kantip Kiratiratanapruk, Apichon Kitvimonrat, Wasin Sinthupinyo, Sujin Patarapuwadol
    http://arxiv.org/abs/2011.10823v1

    • [eess.SY]Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting
    Nima Safari, George Price, Chi Yung Chung
    http://arxiv.org/abs/2011.11410v1

    • [eess.SY]Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
    Gioele Zardini, Andrea Censi, Emilio Frazzoli
    http://arxiv.org/abs/2011.10758v1

    • [eess.SY]Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
    Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti
    http://arxiv.org/abs/2011.10718v1

    • [eess.SY]Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
    Feiran Zhao, Keyou You
    http://arxiv.org/abs/2011.10931v1

    • [eess.SY]Risk-Sensitive Motion Planning using Entropic Value-at-Risk
    Anushri Dixit, Mohamadreza Ahmadi, Joel W. Burdick
    http://arxiv.org/abs/2011.11211v1

    • [eess.SY]SymAR: Symmetry Abstractions and Refinement for Accelerating Scenarios with Neural Network Controllers Verification
    Hussein Sibai, Yangge Li, Sayan Mitra
    http://arxiv.org/abs/2011.10713v1

    • [eess.SY]Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty
    Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
    http://arxiv.org/abs/2011.10730v1

    • [math.CO]On cutting blocking sets and their codes
    Daniele Bartoli, Antonio Cossidente, Giuseppe Marino, Francesco Pavese
    http://arxiv.org/abs/2011.11101v1

    • [math.DG]The dually flat structure for singular models
    Naomichi Nakajima, Toru Ohmoto
    http://arxiv.org/abs/2011.11219v1

    • [math.OC]Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations
    Ta-Chu Kao, Guillaume Hennequin
    http://arxiv.org/abs/2011.11430v1

    • [math.OC]Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models
    Yuhao Yi, Liren Shan, Philip E. Paré, Karl H. Johansson
    http://arxiv.org/abs/2011.11087v1

    • [math.ST]Asymptotics of the Empirical Bootstrap Method Beyond Asymptotic Normality
    Morgane Austern, Vasilis Syrgkanis
    http://arxiv.org/abs/2011.11248v1

    • [math.ST]Least favorability of the uniform distribution for tests of the concavity of a distribution function
    Brendan K. Beare
    http://arxiv.org/abs/2011.10965v1

    • [math.ST]Level sets of depth measures and central dispersion in abstract spaces
    Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
    http://arxiv.org/abs/2011.11146v1

    • [math.ST]Minimum Hellinger distance estimates for a periodically time-varying long memory parameter
    Amine Amimour, Karima Belaide, Ouagnina Hili
    http://arxiv.org/abs/2011.10880v1

    • [math.ST]Ordinary differential equations (ODE): metric entropy and nonasymptotic theory for noisy function fitting
    Ying Zhu, Mozhgan Mirzaei
    http://arxiv.org/abs/2011.11371v1

    • [math.ST]Parameter estimation for threshold Ornstein-Uhlenbeck processes from discrete observations
    Yaozhong Hu, Yuejuan Xi
    http://arxiv.org/abs/2011.10793v1

    • [math.ST]Phase transition of graph Laplacian of high dimensional noisy random point cloud
    Xiucai Ding, Hau-Tieng Wu
    http://arxiv.org/abs/2011.10725v1

    • [math.ST]Robust smoothed canonical correlation analysis for functional data
    Graciela Boente, Nadia Kudraszow
    http://arxiv.org/abs/2011.10576v1

    • [math.ST]Weighted lens depth: Some applications to supervised classification
    Alejandro Cholaquidis, Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
    http://arxiv.org/abs/2011.11140v1

    • [physics.ao-ph]Deep-learning based down-scaling of summer monsoon rainfall data over Indian region
    Bipin Kumar, Rajib Chattopadhyay, Manmeet Singh, Niraj Chaudhari, Karthik Kodari, Amit Barve
    http://arxiv.org/abs/2011.11313v1

    • [physics.med-ph]MRI-Guided High Intensity Focused Ultrasound of Liver and Kidney
    Baudouin Denis de Senneville, Mario Ries, Wilbert Bartels, Chrit Moonen
    http://arxiv.org/abs/2011.10752v1

    • [q-bio.BM]Sparse generative modeling of protein-sequence families
    Pierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, Martin Weigt, Francesco Zamponi
    http://arxiv.org/abs/2011.11259v1

    • [q-bio.GN]Topological Data Analysis of copy number alterations in cancer
    Stefan Groha, Caroline Weis, Alexander Gusev, Bastian Rieck
    http://arxiv.org/abs/2011.11070v1

    • [q-bio.GN]Using ontology embeddings for structural inductive bias in gene expression data analysis
    Maja Trębacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andres Terre, Pietro Liò
    http://arxiv.org/abs/2011.10998v1

    • [q-bio.NC]Autonomous learning of nonlocal stochastic neuron dynamics
    Tyler E. Maltba, Hongli Zhao, Daniel M. Tartakovsky
    http://arxiv.org/abs/2011.10955v1

    • [q-bio.PE]A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
    Nicola Parolini, Giovanni Ardenghi, Luca Dede’, Alfio Quarteroni
    http://arxiv.org/abs/2011.11109v1

    • [q-bio.QM]Data Mining Techniques in Predicting Breast Cancer
    Hamza Saad, Nagendra Nagarur
    http://arxiv.org/abs/2011.11088v1

    • [quant-ph]Classical Shadows with Noise
    Dax Enshan Koh, Sabee Grewal
    http://arxiv.org/abs/2011.11580v1

    • [stat.AP]A Bayesian framework for patient-level partitioned survival cost-utility analysis
    Andrea Gabrio
    http://arxiv.org/abs/2011.10732v1

    • [stat.AP]Exploiting network information to disentangle spillover effects in a field experiment on teens’ museum attendance
    Silvia Noirjean, Marco Mariani, Alessandra Mattei, Fabrizia Mealli
    http://arxiv.org/abs/2011.11023v1

    • [stat.AP]Integrating automated acoustic vocalization data and point count surveys for efficient estimation of bird abundance
    Jeffrey W. Doser, Andrew O. Finley, Aaron S. Weed, Elise F. Zipkin
    http://arxiv.org/abs/2011.11047v1

    • [stat.AP]Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game
    Martin B. Haugh, Chun Wang
    http://arxiv.org/abs/2011.11031v1

    • [stat.AP]Use of Computer Applications for Determining the Best Possible Runway Orientation using Wind Rose Diagrams
    Manmeet Singh, Tanuj Chopra
    http://arxiv.org/abs/2011.11354v1

    • [stat.CO]Gonogo: An R Implementation of Test Methods to Perform, Analyze and Simulate Sensitivity Experiments
    Paul A. Roediger
    http://arxiv.org/abs/2011.11177v1

    • [stat.ME]Approximate Tolerance and Prediction in Non-normal Models with Application to Clinical Trial Recruitment and End-of-study Success
    Geoffrey S Johnson
    http://arxiv.org/abs/2011.11583v1

    • [stat.ME]Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
    Fan Yin, Jieying Jiao, Guanyu Hu, Jun Yan
    http://arxiv.org/abs/2011.11178v1

    • [stat.ME]Bayesian dose-regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics
    Emma Gerard, Sarah Zohar, Hoai-Thu Thai, Christelle Lorenzato, Marie-Karelle Riviere, Moreno Ursino
    http://arxiv.org/abs/2011.11480v1

    • [stat.ME]Conditional canonical correlation estimation based on covariates with random forests
    Cansu Alakus, Denis Larocque, Sebastien Jacquemont, Fanny Barlaam, Charles-Olivier Martin, Kristian Agbogba, Sarah Lippe, Aurelie Labbe
    http://arxiv.org/abs/2011.11555v1

    • [stat.ME]Data Driven Robust Estimation Methods for Fixed Effects Panel Data Models
    Beste Hamiye Beyaztas, Soutir Bandyopadhyay
    http://arxiv.org/abs/2011.11123v1

    • [stat.ME]Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data
    Mengyang Gu, Hanmo Li
    http://arxiv.org/abs/2011.10863v1

    • [stat.ME]On a Bayesian Approach to Malware Detection and Classification through $n$-gram Profiles
    José A. Perusquía, Jim E. Griffin, Cristiano Villa
    http://arxiv.org/abs/2011.11558v1

    • [stat.ME]Robust statistical inference for the matched net benefit and the matched win ratio using prioritized composite endpoints
    Roland A. Matsouaka, Adrian Coles
    http://arxiv.org/abs/2011.10720v1

    • [stat.ME]Sample size calculation for the Andersen-Gill model comparing rates of recurrent events
    Yongqiang Tang, Ronan Fitzpatrick
    http://arxiv.org/abs/2011.11026v1

    • [stat.ML]A non-autonomous equation discovery method for time signal classification
    Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting
    http://arxiv.org/abs/2011.11096v1

    • [stat.ML]Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization
    Gi-Ren Liu, Yuan-Chung Sheu, Hau-Tieng Wu
    http://arxiv.org/abs/2011.10801v1

    • [stat.ML]Dimensionality reduction, regularization, and generalization in overparameterized regressions
    Ningyuan Huang, David W. Hogg, Soledad Villar
    http://arxiv.org/abs/2011.11477v1

    • [stat.ML]Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits
    Kwang-Sung Jun, Lalit Jain, Houssam Nassif
    http://arxiv.org/abs/2011.11222v1

    • [stat.ML]Locally Linear Embedding and its Variants: Tutorial and Survey
    Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2011.10925v1

    • [stat.ML]Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
    Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue
    http://arxiv.org/abs/2011.10861v1

    • [stat.ML]Online Orthogonal Matching Pursuit
    El Mehdi Saad, Gilles Blanchard, Sylvain Arlot
    http://arxiv.org/abs/2011.11117v1