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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 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.PF - 计算性能 cs.PL - 编程语言 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 hep-ex - 高能物理实验 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 q-bio.BM - 生物分子 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 q-fin.CP -计算金融学 q-fin.ST - 统计金融学 q-fin.TR - 贸易与市场微观结构 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]A Game AI Competition to foster Collaborative AI research and development
    • [cs.AI]A Reinforcement Learning Approach to Health Aware Control Strategy
    • [cs.AI]Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification
    • [cs.AI]Implementing Agent-Based Systems via Computability Logic CL2
    • [cs.AI]Learning Locomotion Skills in Evolvable Robots
    • [cs.AI]Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains
    • [cs.AI]The Convergence of AI code and Cortical Functioning — a Commentary
    • [cs.AI]Visibility Optimization for Surveillance-Evasion Games
    • [cs.CL]A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences
    • [cs.CL]Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
    • [cs.CL]Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
    • [cs.CL]An Empirical Study for Vietnamese Constituency Parsing with Pre-training
    • [cs.CL]ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
    • [cs.CL]Auto-Encoding Variational Bayes for Inferring Topics and Visualization
    • [cs.CL]BERTnesia: Investigating the capture and forgetting of knowledge in BERT
    • [cs.CL]Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering
    • [cs.CL]CUSATNLP@HASOC-Dravidian-CodeMix-FIRE2020:Identifying Offensive Language from ManglishTweets
    • [cs.CL]Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
    • [cs.CL]Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model
    • [cs.CL]CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
    • [cs.CL]Cold-start Active Learning through Self-supervised Language Modeling
    • [cs.CL]Consistency and Coherency Enhanced Story Generation
    • [cs.CL]Cross-Lingual Relation Extraction with Transformers
    • [cs.CL]Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
    • [cs.CL]Diving Deep into Context-Aware Neural Machine Translation
    • [cs.CL]Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation
    • [cs.CL]Drug Repurposing for COVID-19 via Knowledge Graph Completion
    • [cs.CL]Example-Driven Intent Prediction with Observers
    • [cs.CL]Explaining and Improving Model Behavior with k Nearest Neighbor Representations
    • [cs.CL]Factual Error Correction for Abstractive Summarization Models
    • [cs.CL]Global Attention for Name Tagging
    • [cs.CL]HABERTOR: An Efficient and Effective Deep Hatespeech Detector
    • [cs.CL]Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
    • [cs.CL]Incorporate Semantic Structures into Machine Translation Evaluation via UCCA
    • [cs.CL]Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
    • [cs.CL]Incorporating Terminology Constraints in Automatic Post-Editing
    • [cs.CL]Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
    • [cs.CL]Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
    • [cs.CL]Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
    • [cs.CL]Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation
    • [cs.CL]Mixed-Lingual Pre-training for Cross-lingual Summarization
    • [cs.CL]Multi-hop Question Generation with Graph Convolutional Network
    • [cs.CL]Multimodal Speech Recognition with Unstructured Audio Masking
    • [cs.CL]PySBD: Pragmatic Sentence Boundary Disambiguation
    • [cs.CL]Querent Intent in Multi-Sentence Questions
    • [cs.CL]Query-aware Tip Generation for Vertical Search
    • [cs.CL]Question Answering over Knowledge Base using Language Model Embeddings
    • [cs.CL]Question Generation for Supporting Informational Query Intents
    • [cs.CL]Revisiting Modularized Multilingual NMT to Meet Industrial Demands
    • [cs.CL]RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling
    • [cs.CL]SciSummPip: An Un
    f6c
    supervised Scientific Paper Summarization Pipeline
    • [cs.CL]Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
    • [cs.CL]The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification
    • [cs.CL]Towards Data Distillation for End-to-end Spoken Conversational Question Answering
    • [cs.CL]Towards Interpreting BERT for Reading Comprehension Based QA
    • [cs.CL]Understanding Unnatural Questions Improves Reasoning over Text
    • [cs.CL]Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
    • [cs.CL]Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
    • [cs.CL]UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses
    • [cs.CL]Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
    • [cs.CL]hinglishNorm — A Corpus of Hindi-English Code Mixed Sentences for Text Normalization
    • [cs.CR]A Survey of Machine Learning Techniques in Adversarial Image Forensics
    • [cs.CR]Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification
    • [cs.CR]BBB-Voting: 1-out-of-k Blockchain-Based Boardroom Voting
    • [cs.CR]Disguising Personal Identity Information in EEG Signals
    • [cs.CR]Dos and Don’ts of Machine Learning in Computer Security
    • [cs.CR]GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
    • [cs.CR]KaFHCa: Key-establishment via Frequency Hopping Collisions
    • [cs.CR]Layer-wise Characterization of Latent Information Leakage in Federated Learning
    • [cs.CR]Locality Sensitive Hashing with Extended Differential Privacy
    • [cs.CR]Secure Weighted Aggregation in Federated Learning
    • [cs.CV]A Backbone Replaceable Fine-tuning Network for Stable Face Alignment
    • [cs.CV]A Grid-based Representation for Human Action Recognition
    • [cs.CV]A Self-supervised Cascaded Refinement Network for Point Cloud Completion
    • [cs.CV]A Two-stage Unsupervised Approach for Low light Image Enhancement
    • [cs.CV]A Versatile Crack Inspection Portable System based on Classifier Ensemble and Controlled Illumination
    • [cs.CV]A combined full-reference image quality assessment method based on convolutional activation maps
    • [cs.CV]Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
    • [cs.CV]Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering
    • [cs.CV]Attention Augmented ConvLSTM forEnvironment Prediction
    • [cs.CV]Automatic Tree Ring Detection using Jacobi Sets
    • [cs.CV]Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
    • [cs.CV]Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
    • [cs.CV]Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
    • [cs.CV]CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images
    • [cs.CV]Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database
    • [cs.CV]Continual Unsupervised Domain Adaptation with Adversarial Learning
    • [cs.CV]Covapixels
    • [cs.CV]DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
    • [cs.CV]DEAL: Difficulty-aware Active Learning for Semantic Segmentation
    • [cs.CV]Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
    • [cs.CV]Deep Structured Prediction for Facial Landmark Detection
    • [cs.CV]DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
    • [cs.CV]Detecting Hands and Recognizing Physical Contact in the Wild
    • [cs.CV]Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
    • [cs.CV]Discovering Pattern Structure Using Differentiable Compositing
    • [cs.CV]Distortion-aware Monocular Depth Estimation for Omnidirectional Images
    • [cs.CV]Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
    • [cs.CV]Double-Uncertainty Weighted Method for Semi-supervised Learning
    • [cs.CV]Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
    • [cs.CV]Emerging Trends of Multimodal Research in Vision and Language
    • [cs.CV]Exploiting Context for Robustness to Label Noise in Active Learning
    • [cs.CV]Extraction of Discrete Spectra Modes from Video Data Using a Deep Convolutional Koopman Network
    • [cs.CV]FGAGT: Flow-Guided Adaptive Graph Tracking
    • [cs.CV]Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing
    • [cs.CV]Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition
    • [cs.CV]Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
    • [cs.CV]Gaussian Constrained Attention Network for Scene Text Recognition
    • [cs.CV]Generalized Intersection Algorithms with Fixpoints for Image Decomposition Learning
    • [cs.CV]Gradient Aware Cascade Network for Multi-Focus Image Fusion
    • [cs.CV]Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
    • [cs.CV]Image Captioning with Visual Object Representations Grounded in the Textual Modality
    • [cs.CV]Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
    • [cs.CV]Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
    • [cs.CV]Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion
    • [cs.CV]Language and Visual Entity Relationship Graph for Agent Navigation
    • [cs.CV]Learning to Reconstruct and Segment 3D Objects
    • [cs.CV]Localized Interactive Instance Segmentation
    • [cs.CV]Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
    • [cs.CV]MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining
    • [cs.CV]MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
    • [cs.CV]MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
    • [cs.CV]Modality-Pairing Learning for Brain Tumor Segmentation
    • [cs.CV]Movement-induced Priors for Deep Stereo
    • [cs.CV]Multi-Modal Super Resolution for Dense Microscopic Particle Size Estimation
    • [cs.CV]Multi-Stage Fusion for One-Click Segmentation
    • [cs.CV]Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier
    • [cs.CV]Multimodal semantic forecasting based on conditional generation of future features
    • [cs.CV]Multiple Fut
    747
    ure Prediction Leveraging Synthetic Trajectories
    • [cs.CV]Multiple Pedestrians and Vehicles Tracking in Aerial Imagery: A Comprehensive Study
    • [cs.CV]Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
    • [cs.CV]On the Generalisation Capabilities of Fingerprint Presentation Attack Detection Methods in the Short Wave Infrared Domain
    • [cs.CV]Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
    • [cs.CV]PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images
    • [cs.CV]PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
    • [cs.CV]RADIATE: A Radar Dataset for Automotive Perception
    • [cs.CV]RONELD: Robust Neural Network Output Enhancement for Active Lane Detection
    • [cs.CV]Robust Face Alignment by Multi-order High-precision Hourglass Network
    • [cs.CV]Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
    • [cs.CV]SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes
    • [cs.CV]SHREC 2020 track: 6D Object Pose Estimation
    • [cs.CV]SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition
    • [cs.CV]Self-Selective Context for Interaction Recognition
    • [cs.CV]Self-Supervised Visual Attention Learning for Vehicle Re-Identification
    • [cs.CV]Self-supervised Co-training for Video Representation Learning
    • [cs.CV]SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
    • [cs.CV]Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
    • [cs.CV]Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs
    • [cs.CV]Softer Pruning, Incremental Regularization
    • [cs.CV]Synthesizing the Unseen for Zero-shot Object Detection
    • [cs.CV]Teacher-Student Competition for Unsupervised Domain Adaption
    • [cs.CV]Temporal Binary Representation for Event-Based Action Recognition
    • [cs.CV]The NVIDIA PilotNet Experiments
    • [cs.CV]The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes
    • [cs.CV]Unsupervised Domain Adaptation for Spatio-Temporal Action Localization
    • [cs.CV]Variational Capsule Encoder
    • [cs.CV]View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations
    • [cs.CV]Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound
    • [cs.CY]Against Scale: Provocations and Resistances to Scale Thinking
    • [cs.CY]An individual-level ground truth dataset for home location detection
    • [cs.CY]Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
    • [cs.CY]Users Perceptions about Teleconferencing Applications Collected through Twitter
    • [cs.DB]Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
    • [cs.DB]DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees
    • [cs.DB]Knowledge Graph-based Question Answering with Electronic Health Records
    • [cs.DC]A CAD-Based tool for fault tolerant distributed embedded systems
    • [cs.DC]A Demonstration of Smart Doorbell Design Using Federated Deep Learning
    • [cs.DC]Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages
    • [cs.DC]An Efficient and Balanced Graph Partition Algorithm for the Subgraph-Centric Programming Model on Large-scale Power-law Graphs
    • [cs.DC]Blockchain Based Decentralized Cyber Attack Detection for Large Scale Power Systems
    • [cs.DC]Decentralized and Secure Generation Maintenance with Differential Privacy
    • [cs.DC]Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration
    • [cs.DC]Fault Tolerance for Remote Memory Access Programming Models
    • [cs.DC]From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
    • [cs.DC]Joint Storage Allocation and Computation Design for Private Edge Computing
    • [cs.DC]Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach
    • [cs.DC]On the design of a Fog computing-based, driving behaviour monitoring framework
    • [cs.DC]Optimizing Memory Performance of Xilinx FPGAs under Vitis
    • [cs.DC]Pattern Formation by Robots with Inaccurate Movements
    • [cs.DC]RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs
    • [cs.DC]Self-stabilizing Graph Exploration by a Single Agent
    • [cs.DC]The role of interactive super-computing in using HPC for urgent decision making
    • [cs.DC]iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?
    • [cs.DL]Poincare: Recommending Publication Venues via Treatment Effect Estimation
    • [cs.DS]EPTAS for $k$-means Clustering of Affine Subspaces
    • [cs.DS]Hutch++: Optimal Stochastic Trace Estimation
    • [cs.ET]Optoelectronic Intelligence
    • [cs.GR]Light Stage Super-Resolution: Continuous High-Frequency Relighting
    • [cs.GT]No-regreet learning and mixed Nash equilibria: They do not mix
    • [cs.IR]A Conglomerate of Multiple OCR Table Detection and Extraction
    • [cs.IR]A Unified Model for Recommendation with Selective Neighborhood Modeling
    • [cs.IR]Check-N-Run: A Checkpointing System for Training Recommendation Models
    • [cs.IR]Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion
    • [cs.IR]LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System
    • [cs.IT]5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
    • [cs.IT]Blocking Probability Analysis for 5G New Radio (NR) Physical Downlink Control Channel
    • [cs.IT]Causal Geometry
    • [cs.IT]Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias
    • [cs.IT]Cooperative Multi-Sensor Detection under Variable-Length Coding
    • [cs.IT]Fundamentals of Physical Layer Anonymous Communications: Sender Detection and Anonymous Precoding
    • [cs.IT]Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems
    • [cs.IT]Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design
    • [cs.IT]LoRa Performance Analysis with Superposed Signal Decoding
    • [cs.IT]Max-Min Power Control in Downlink Massive MIMO with Distributed Antenna Arrays
    • [cs.IT]Multi-Agent Deep Reinforcement Learning for Distributed Resource Management in Wirelessly Powered Communication Networks
    • [cs.IT]Nonlinear Interference Analysis of Probabilistic Shaping vs. 4D Geometrically Shaped Formats
    • [cs.IT]On Properties and Optimization of Information-theoretic Privacy Watchdog
    • [cs.IT]On the best choice of Lasso program given data parameters
    • [cs.IT]Optimal Transmit Power and Flying Location for UAV Covert Wireless Communications
    • [cs.IT]Proximal-ADMM Decoder for Nonbinary LDPC Codes
    • [cs.IT]Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks
    • [cs.IT]Symmetric Private Polynomial Computation From Lagrange Encoding
    • [cs.IT]The Projective General Linear Group $\mathrm{PGL}_2(\mathrm{GF}(2^m))$ and Linear Codes of Length $2^m+1$
    • [cs.LG]A Framework to Learn with Interpretation
    • [cs.LG]A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models
    • [cs.LG]A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
    • [cs.LG]A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness
    • [cs.LG]A Uniformly Stable Algorithm For Unsupervised Feature Selection
    • [cs.LG]A case where a spindly two-layer linear network whips any neural network with a fully connected input layer
    • [cs.LG]ARENA: A Data-driven Radio Access Networks Analysis of Football Events
    • [cs.LG]Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression
    • [cs.LG]Aggregating Dependent Gaussian Experts in Local Approximation
    • [cs.LG]Approximate information state for approximate planning and reinforcement learning in partially observed systems
    • [cs.LG]Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
    • [cs.LG]Average-reward model-free reinforcement learning: a systematic review and literature mapping
    • [cs.LG]Bayesian Inference for Optimal Transport with Stochastic Cost
    • [cs.LG]Bayesian Neural Networks with Soft Evidence
    • [cs.LG]Binary Matrix Factorization on Special Purpose Hardware
    • [cs.LG]Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning
    • [cs.LG]Causal Discovery using Compression-Complexity Measures
    • [cs.LG]Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
    • [cs.LG]Chance-Constrained Control with Lexicographic Deep Reinforcement Learning
    • [cs.LG]Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
    • [cs.LG]Characterizing and Taming Model Instability Across Edge Devices
    • [cs.LG]Class-incremental Learning with Pre-allocated Fixed Classifiers
    • [cs.LG]D2RL: Deep Dense Architectures in Reinforcement Learning
    • [cs.LG]DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
    • [cs.LG]DAN — An optimal Data Assimilation framework based on machine learning Recurrent Networks
    • [cs.LG]DIFER: Differentiable Automated Feature Engineering
    • [cs.LG]DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain
    • [cs.LG]Deep Learning in the Era of Edge Computing: Challenges and Opportunities
    • [cs.LG]Deep Submodular Networks for Extractive Data Summarization
    • [cs.LG]DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
    • [cs.LG]Do Deeper Convolutional Networks Perform Better?
    • [cs.LG]Dynamic Ensemble Learning for Credit Scoring: A Comparative Study
    • [cs.LG]ERIC: Extracting Relations Inferred from Convolutions
    • [cs.LG]Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
    • [cs.LG]End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination
    • [cs.LG]Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably
    • [cs.LG]Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
    • [cs.LG]FADER: Fast Adversarial Example Rejection
    • [cs.LG]Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism
    • [cs.LG]Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling
    • [cs.LG]Feature Importance Ranking for Deep Learning
    • [cs.LG]Federated Unsupervised Representation Learning
    • [cs.LG]Fourier Neural Operator for Parametric Partial Differential Equations
    • [cs.LG]Fractal Autoencoders for Feature Selection
    • [cs.LG]GANs for learning from very high class conditional noisy labels
    • [cs.LG]Importance Reweighting for Biquality Learning
    • [cs.LG]Improving Transformation Invariance in Contrastive Representation Learning
    • [cs.LG]JSRT: James-Stein Regression Tree
    • [cs.LG]Learning Latent Space Energy-Based Prior Model for Molecule Generation
    • [cs.LG]Learning Optimal Conditional Priors For Disentangled Representations
    • [cs.LG]Learning Parameter Distributions to Detect Concept Drift in Data Streams
    • [cs.LG]Living in the Physics and Machine Learning Interplay for Earth Observation
    • [cs.LG]MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
    • [cs.LG]Machine Learning Evaluation of the Echo-Chamber Effect in Medical Forums
    • [cs.LG]Meta-learning the Learning Trends Shared Across Tasks
    • [cs.LG]Meta-path Free Semi-supervised Learning for Heterogeneous Networks
    • [cs.LG]MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
    • [cs.LG]Model-based Policy Optimization with Unsupervised Model Adaptation
    • [cs.LG]Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading
    • [cs.LG]Multi-view Subspace Clustering Networks with Local and Global Graph Information
    • [cs.LG]Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data
    • [cs.LG]Neuralizing Efficient Higher-order Belief Propagation
    • [cs.LG]On Size Generalization in Graph Neural Networks
    • [cs.LG]Online-to-Offline Advertisements as Field Experiments
    • [cs.LG]Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
    • [cs.LG]PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
    • [cs.LG]Parameter Norm Growth During Training of Transformers
    • [cs.LG]Poisoned classifiers are not only backdoored, they are fundamentally broken
    • [cs.LG]Prediction of daily maximum ozone levels using Lasso sparse modeling method
    • [cs.LG]Privacy-preserving Data Sharing on Vertically Partitioned Data
    • [cs.LG]Probabilistic Linear Solvers for Machine Learning
    • [cs.LG]Probabilistic selection of inducing points for sparse Gaussian processes
    • [cs.LG]Quantum-Inspired Classical Algorithm for Principal Component Regression
    • [cs.LG]RobustBench: a standardized adversarial robustness benchmark
    • [cs.LG]SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network
    • [cs.LG]Semi-supervised Batch Active Learning via Bilevel Optimization
    • [cs.LG]Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
    • [cs.LG]Softmax Deep Double Deterministic Policy Gradients
    • [cs.LG]Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic
    • [cs.LG]Stationary Activations for Uncertainty Calibration in Deep Learning
    • [cs.LG]Survey on Causal-based Machine Learning Fairness Notions
    • [cs.LG]Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering
    • [cs.LG]TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
    • [cs.LG]Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization
    • [cs.LG]Training Stronger Baselines for Learning to Optimize
    • [cs.LG]Universal guarantees for decision tree induction via a higher-order splitting criterion
    • [cs.LG]Unsupervised Foveal Vision Neural Networks with Top-Down Attention
    • [cs.LG]Using machine learning to reduce ensembles of geological models for oil and gas exploration
    • [cs.LG]Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
    • [cs.LG]Verifying the Causes of Adversarial Examples
    • [cs.LG]What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator
    • [cs.LG]i-Mix: A Strategy for Regularizing Contrastive Representation Learning
    • [cs.MM]Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning
    • [cs.MM]DIME: An Online Tool for the Visual Comparison of Cross-Modal Retrieval Models
    • [cs.MM]Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream
    • [cs.NE]Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
    • [cs.NE]Evolutionary Algorithm and Multifactorial Evolutionary Algorithm on Clustered Shortest-Path Tree problem
    • [cs.NE]SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs
    • [cs.NE]The Capacity Constraint Physarum Solver
    • [cs.NI]6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks
    • [cs.PF]Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs
    • [cs.PL]PPL Bench: Evaluation Framework For Probabilistic Programming Languages
    • [cs.RO]A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
    • [cs.RO]A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence
    • [cs.RO]Aerial Mobile Manipulator System to Enable Dexterous Manipulations with Increased Precision
    • [cs.RO]Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion
    • [cs.RO]Belief-Grounded Networks for AcceleratedRobot Learning under Partial Observability
    • [cs.RO]CT-CPP: 3D Coverage Path Planning for Unknown Terrain Reconstruction using Coverage Trees
    • [cs.RO]Constrained Motion Planning Networks X
    • [cs.RO]Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks
    • [cs.RO]Extended Abstract: Motion Planners Learned from Geometric Hallucination
    • [cs.RO]Freetures:Localization in Signed Distance Function Maps
    • [cs.RO]Generating Large Convex Polytopes Directly on Point Clouds
    • [cs.RO]Inspection-on-the-fly using Hybrid Physical Interaction Control for Aerial Manipulators
    • [cs.RO]Inverse Dynamics Control of Compliant Hybrid Zero Dynamic Walking
    • [cs.RO]Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
    • [cs.RO]Lifelong update of semantic maps in dynamic environments
    • [cs.RO]MROS: Runtime Adaptation For Robot Control Architectures
    • [cs.RO]Model Hierarchy Predictive Control of Robotic Systems
    • [cs.RO]Model-Based Inverse Reinforcement Learning from Visual Demonstrations
    • [cs.RO]Modeling and Implementation of Quadcopter Autonomous Flight Based on Alternative Methods to Determine Propeller Parameters
    • [cs.RO]NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators
    • [cs.RO]NimbRo-OP2X: Affordable Adult-sized 3D-printed Open-Source Humanoid Robot for Research
    • [cs.RO]Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants
    • [cs.RO]Real-time Quadrotor Navigation Through Planning in Depth Space in Unstructured Environments
    • [cs.RO]Robot Learning with Crash Constraints
    • [cs.RO]Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
    • [cs.RO]Sky Highway Design for Dense Traffic
    • [cs.RO]Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
    • [cs.SD]CLAR: Contrastive Learning of Auditory Representations
    • [cs.SD]Fast accuracy estimation of deep learning based multi-class musical source separation
    • [cs.SD]MicAugment: One-shot Microphone Style Transfer
    • [cs.SD]Self-Attention Generative Adversarial Network for Speech Enhancement
    • [cs.SD]Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
    • [cs.SE]COSEA: Convolutional Code Search with Layer-wise Attention
    • [cs.SE]Visualization of Contributions to Open-Source Projects
    • [cs.SI]A method to evaluate the reliability of social media data for social network analysis
    • [cs.SI]CHECKED: Chinese COVID-19 Fake News Dataset
    • [cs.SI]Diffusion in large networks
    • [cs.SI]Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges
    • [cs.SI]Hot-Get-Richer Network Growth Model
    • [cs.SI]Multilayer Network Analysis for Improved Credit Risk Prediction
    • [cs.SI]Searching for small-world and scale-free behaviour in long-term historical data of a real-world power grid
    • [cs.SI]Summarizing graphs using configuration model
    • [cs.SI]We Need to Rethink How We Describe and Organize Spatial Information: Instrumenting and Observing the Community of Users to Improve Data Description and Discovery
    • [econ.EM]Empirical likelihood and uniform convergence rates for dyadic kernel density estimation
    • [eess.AS]End-to-End Text-to-Speech using Latent Duration based on VQ-VAE
    • [eess.AS]Reduce and Reconstruct: Improving Low-resource End-to-end ASR Via Reconstruction Using Reduced Vocabularies
    • [eess.IV]GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
    • [eess.IV]Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models
    • [eess.IV]Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
    • [eess.SP]DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
    • [eess.SP]Discriminability of Single-Layer Graph Neural Networks
    • [eess.SP]Frequency-Hopping MIMO Radar-Based Communications: An Overview
    • [eess.SP]MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert
    • [eess.SP]Reinforcement Learning for Efficient and Tuning-Free Link Adaptation
    • [eess.SY]Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability
    • [hep-ex]Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
    • [math.MG]Loci and Envelopes of Ellipse-Inscribed Triangles
    • [math.NA]An energy-based error bound of physics-informed neural network solutions in elasticity
    • [math.OC]Learning to solve TV regularized problems with unrolled algorithms
    • [math.OC]Practical Frank-Wolfe algorithms
    • [math.ST]A Multi-resolution Theory for Approximating Infinite-$p$-Zero-$n$: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-off
    • [math.ST]A factor-adjusted multiple testing of general alternatives
    • [math.ST]Minimal enumeration of all possible total effects in a Markov equivalence class
    • [math.ST]On the Consistency of Maximum Likelihood Estimators for Causal Network Identification
    • [math.ST]Operator Augmentation for Noisy Elliptic Systems
    • [math.ST]Quantile regression with ReLU Networks: Estimators and minimax rates
    • [math.ST]Reweighting samples under covariate shift using a Wasserstein distance criterion
    • [math.ST]Statistical guarantees for generative models without domination
    • [math.ST]Variance-adaptive confidence sequences by betting
    • [physics.comp-ph]FPGAs-as-a-Service Toolkit (FaaST)
    • [physics.med-ph]Measuring breathing induced oesophageal motion and its dosimetric impact
    • [q-bio.BM]Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
    • [q-bio.NC]Body models in humans, animals, and robots
    • [q-bio.NC]Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org
    • [q-bio.NC]Understanding Information Processing in Human Brain by Interpreting Machine Learning Models
    • [q-bio.QM]Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
    • [q-fin.CP]Information Coefficient as a Performance Measure of Stock Selection Models
    • [q-fin.ST]Is Image Encoding Beneficial for Deep Learning in Finance? An Analysis of Image Encoding Methods for the Application of Convolutional Neural Networks in Finance
    • [q-fin.TR]When Bots Take Over the Stock Market: Evasion Attacks Against Algorithmic Traders
    • [stat.AP]A data-driven P-spline smoother and the P-Spline-GARCH-models
    • [stat.AP]Evaluation of a meta-analysis of ambient air quality as a risk factor for asthma exacerbation
    • [stat.AP]anomaly : Detection of Anomalous Structure in Time Series Data
    • [stat.CO]Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
    • [stat.CO]Maximal couplings of the Metropolis-Hastings algorithm
    • [stat.ME]A tutorial comparing different covariate balancing methods with an application evaluating the causal effect of exercise on the progression of Huntington’s Disease
    • [stat.ME]Conformal prediction interval for dynamic time-series
    • [stat.ME]Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks
    • [stat.ME]Estimating efficacy of measles supplementary immunization activities via discrete-time modeling of disease incidence time series
    • [stat.ME]Fast Spatial Autocorrelation
    • [stat.ME]Inverse Problem for Dynamic Computer Simulators via Multiple Scalar-valued Contour Estimation
    • [stat.ME]LHD: An R package for efficient Latin hypercube designs with flexible sizes
    • [stat.ME]Log-symmetric quantile regression models
    • [stat.ME]Markov Neighborhood Regression for High-Dimensional Inference
    • [stat.ME]Online network monitoring
    • [stat.ME]PSweight: An R Package for Propensity Score Weighting Analysis
    • [stat.ME]Rater: An R Package for Fitting Statistical Models of Repeated Categorical Ratings
    • [stat.ME]Significance and Replication in simple counting experiments: Distributional Null Hypothesis Testing
    • [stat.ME]Significance testing for canonical correlation analysis in high dimensions
    • [stat.ME]Statistical Inference for Qualitative Interactions with Applications to Precision Medicine and Differential Network Analysis
    • [stat.ME]Variograms for spatial functional data with phase variation
    • [stat.ML]Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
    • [stat.ML]Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter
    • [stat.ML]Factorization Machines with Regularization for Sparse Feature Interactions
    • [stat.ML]Interpretable Machine Learning — A Brief History, State-of-the-Art and Challenges
    • [stat.ML]Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood
    • [stat.ML]On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework
    • [stat.ML]On the Difficulty of Unbiased Alpha Divergence Minimization
    • [stat.ML]Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference
    • [stat.ML]Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding
    • [stat.ML]Robust Learning under Strong Noise via SQs
    • [stat.ML]Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting

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

    • [cs.AI]A Game AI Competition to foster Collaborative AI research and development
    Ana Salta, Rui Prada, Francisco S. Melo
    http://arxiv.org/abs/2010.08885v1

    • [cs.AI]A Reinforcement Learning Approach to Health Aware Control Strategy
    Mayank Shekhar Jha, Philippe Weber, Didier Theilliol, Jean-Christophe Ponsart, Didier Maquin
    http://arxiv.org/abs/2010.09269v1

    • [cs.AI]Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification
    Davide Corsi, Enrico Marchesini, Alessandro Farinelli
    http://arxiv.org/abs/2010.09387v1

    • [cs.AI]Implementing Agent-Based Systems via Computability Logic CL2
    Keehang Kwon
    http://arxiv.org/abs/2010.08925v1

    • [cs.AI]Learning Locomotion Skills in Evolvable Robots
    Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben
    http://arxiv.org/abs/2010.09531v1

    • [cs.AI]Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains
    Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris
    http://arxiv.org/abs/2010.08869v1

    • [cs.AI]The Convergence of AI code and Cortical Functioning — a Commentary
    David Mumford
    http://arxiv.org/abs/2010.09101v1

    • [cs.AI]Visibility Optimization for Surveillance-Evasion Games
    Louis Ly, Yen-Hsi Richard Tsai
    http://arxiv.org/abs/2010.09001v1

    • [cs.CL]A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences
    Andrew Merritt, Chenhui Chu, Yuki Arase
    http://arxiv.org/abs/2010.08725v1

    • [cs.CL]Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
    Pengshuai Li, Xinsong Zhang, Weijia Jia, Wei Zhao
    http://arxiv.org/abs/2010.08777v1

    • [cs.CL]Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
    Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu
    http://arxiv.org/abs/2010.09638v1

    • [cs.CL]An Empirical Study for Vietnamese Constituency Parsing with Pre-training
    Tuan-Vi Tran, Xuan-Thien Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/2010.09623v1

    • [cs.CL]ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
    Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed
    http://arxiv.org/abs/2010.08768v1

    • [cs.CL]Auto-Encoding Variational Bayes for Inferring Topics and Visualization
    Dang Pham, Tuan M. V. Le
    http://arxiv.org/abs/2010.09233v1

    • [cs.CL]BERTnesia: Investigating the capture and forgetting of knowledge in BERT
    Jonas Wallat, Jaspreet Singh, Avishek Anand
    http://arxiv.org/abs/2010.09313v1

    • [cs.CL]Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering
    Jeroen Offerijns, Suzan Verberne, Tessa Verhoef
    http://arxiv.org/abs/2010.09598v1

    • [cs.CL]CUSATNLP@HASOC-Dravidian-CodeMix-FIRE2020:Identifying Offensive Language from ManglishTweets
    Sara Renjit, Sumam Mary Idicula
    http://arxiv.org/abs/2010.08756v1

    • [cs.CL]Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
    Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li
    http://arxiv.org/abs/2010.08961v1

    • [cs.CL]Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model
    Jason Obeid, Enamul Hoque
    http://arxiv.org/abs/2010.09142v1

    • [cs.CL]CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
    Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen
    http://arxiv.org/abs/2010.08670v1

    • [cs.CL]Cold-start Active Learning through Self-supervised Language Modeling
    Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd-Graber
    http://arxiv.org/abs/2010.09535v1

    • [cs.CL]Consistency and Coherency Enhanced Story Generation
    Wei Wang, Piji Li, Hai-Tao Zheng
    http://arxiv.org/abs/2010.08822v1

    • [cs.CL]Cross-Lingual Relation Extraction with Transformers
    Jian Ni, Taesun Moon, Parul Awasthy, Radu Florian
    http://arxiv.org/abs/2010.08652v1

    • [cs.CL]Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
    Tiezheng Yu, Dan Su, Wenliang Dai, Pascale Fung
    http://arxiv.org/abs/2010.09252v1

    • [cs.CL]Diving Deep into Context-Aware Neural Machine Translation
    Jingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney
    http://arxiv.org/abs/2010.09482v1

    • [cs.CL]Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation
    Arkin Dharawat, Ismini Lourentzou, Alex Morales, ChengXiang Zhai
    http://arxiv.org/abs/2010.08743v1

    • [cs.CL]Drug Repurposing for COVID-19 via Knowledge Graph Completion
    Rui Zhang, Dimitar Hristovski, Dalton Schutte, Andrej Kastrin, Marcelo Fiszman, Halil Kilicoglu
    http://arxiv.org/abs/2010.09600v1

    • [cs.CL]Example-Driven Intent Prediction with Observers
    Shikib Mehri, Mihail Eric, Dilek Hakkani-Tur
    http://arxiv.org/abs/2010.08684v1

    • [cs.CL]Explaining and Improving Model Behavior with k Nearest Neighbor Representations
    Nazneen Fatema Rajani, Ben Krause, Wengpeng Yin, Tong Niu, Richard Socher, Caiming Xiong
    http://arxiv.org/abs/2010.09030v1

    • [cs.CL]Factual Error Correction for Abstractive Summarization Models
    Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung
    http://arxiv.org/abs/2010.08712v1

    • [cs.CL]Global Attention for Name Tagging
    Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji
    http://arxiv.org/abs/2010.09270v1

    • [cs.CL]HABERTOR: An Efficient and Effective Deep Hatespeech Detector
    Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Serim Park
    http://arxiv.org/abs/2010.08865v1

    • [cs.CL]Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
    Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller
    http://arxiv.org/abs/2010.09517v1

    • [cs.CL]Incorporate Semantic Structures into Machine Translation Evaluation via UCCA
    Jin Xu, Yinuo Guo, Junfeng Hu
    http://arxiv.org/abs/2010.08728v1

    • [cs.CL]Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
    Anushka Prakash, Harish Tayyar Madabushi
    http://arxiv.org/abs/2010.09078v1

    • [cs.CL]Incorporating Terminology Constraints in Automatic Post-Editing
    David Wan, Chris Kedzie, Faisal Ladhak, Marine Carpuat, Kathleen McKeown
    http://arxiv.org/abs/2010.09608v1

    • [cs.CL]Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
    Pan Xie, Zhi Cui, Xiuyin Chen, Xiaohui Hu, Jianwei Cui, Bin Wang
    http://arxiv.org/abs/2010.09194v1

    • [cs.CL]Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
    Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan
    http://arxiv.org/abs/2010.08824v1

    • [cs.CL]Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
    Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao
    http://arxiv.org/abs/2010.09189v1

    • [cs.CL]Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation
    Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo
    http://arxiv.org/abs/2010.09046v1

    • [cs.CL]Mixed-Lingual Pre-training for Cross-lingual Summarization
    Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
    http://arxiv.org/abs/2010.08892v1

    • [cs.CL]Multi-hop Question Generation with Graph Convolutional Network
    Dan Su, Yan Xu, Wenliang Dai, Ziwei Ji, Tiezheng Yu, Pascale Fung
    http://arxiv.org/abs/2010.09240v1

    • [cs.CL]Multimodal Speech Recognition with Unstructured Audio Masking
    Tejas Srinivasan, Ramon Sanabria, Florian Metze, Desmond Elliott
    http://arxiv.org/abs/2010.08642v1

    • [cs.CL]PySBD: Pragmatic Sentence Boundary Disambiguation
    Nipun Sadvilkar, Mark Neumann
    http://arxiv.org/abs/2010.09657v1

    • [cs.CL]Querent Intent in Multi-Sentence Questions
    Laurie Burchell, Jie Chi, Tom Hosking, Nina Markl, Bonnie Webber
    http://arxiv.org/abs/2010.08980v1

    • [cs.CL]Query-aware Tip Generation for Vertical Search
    Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang
    http://arxiv.org/abs/2010.09254v1

    • [cs.CL]Question Answering over Knowledge Base using Language Model Embeddings
    Sai Sharath Japa, Rekabdar Banafsheh
    http://arxiv.org/abs/2010.08883v1

    • [cs.CL]Question Generation for Supporting Informational Query Intents
    Xusen Yin, Jonathan May, Li Zhou, Kevin Small
    http://arxiv.org/abs/2010.09692v1

    • [cs.CL]Revisiting Modularized Multilingual NMT to Meet Industrial Demands
    Sungwon Lyu, Bokyung Son, Kichang Yang, Jaekyoung Bae
    http://arxiv.org/abs/2010.09402v1

    • [cs.CL]RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling
    Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, Deyi Xiong
    http://arxiv.org/abs/2010.08738v1

    • [cs.CL]SciSummPip: An Un
    f6c
    supervised Scientific Paper Summarization Pipeline
    Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan
    http://arxiv.org/abs/2010.09190v1

    • [cs.CL]Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
    David Wan, Zhengping Jiang, Chris Kedzie, Elsbeth Turcan, Peter Bell, Kathleen McKeown
    http://arxiv.org/abs/2010.09693v1

    • [cs.CL]The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification
    Abdullatif Köksal, Arzucan Özgür
    http://arxiv.org/abs/2010.09381v1

    • [cs.CL]Towards Data Distillation for End-to-end Spoken Conversational Question Answering
    Chenyu You, Nuo Chen, Fenglin Liu, Dongchao Yang, Yuexian Zou
    http://arxiv.org/abs/2010.08923v1

    • [cs.CL]Towards Interpreting BERT for Reading Comprehension Based QA
    Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra
    http://arxiv.org/abs/2010.08983v1

    • [cs.CL]Understanding Unnatural Questions Improves Reasoning over Text
    Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari
    http://arxiv.org/abs/2010.09366v1

    • [cs.CL]Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
    Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov
    http://arxiv.org/abs/2010.09459v1

    • [cs.CL]Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
    Dušan Variš, Ondřej Bojar
    http://arxiv.org/abs/2010.09403v1

    • [cs.CL]UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses
    Eleri Sarsfield, Harish Tayyar Madabushi
    http://arxiv.org/abs/2010.09072v1

    • [cs.CL]Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
    Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen
    http://arxiv.org/abs/2010.07717v2

    • [cs.CL]hinglishNorm — A Corpus of Hindi-English Code Mixed Sentences for Text Normalization
    Piyush Makhija, Ankit Kumar, Anuj Gupta
    http://arxiv.org/abs/2010.08974v1

    • [cs.CR]A Survey of Machine Learning Techniques in Adversarial Image Forensics
    Ehsan Nowroozi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo
    http://arxiv.org/abs/2010.09680v1

    • [cs.CR]Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification
    Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck
    http://arxiv.org/abs/2010.09569v1

    • [cs.CR]BBB-Voting: 1-out-of-k Blockchain-Based Boardroom Voting
    Sarad Venugopalan, Ivan Homoliak, Zengpeng Li, Pawel Szalachowski
    http://arxiv.org/abs/2010.09112v1

    • [cs.CR]Disguising Personal Identity Information in EEG Signals
    Shiya Liu, Yue Yao, Chaoyue Xing, Tom Gedeon
    http://arxiv.org/abs/2010.08915v1

    • [cs.CR]Dos and Don’ts of Machine Learning in Computer Security
    Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
    http://arxiv.org/abs/2010.09470v1

    • [cs.CR]GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
    Aref Asvadishirehjini, Murat Kantarcioglu, Bradley Malin
    http://arxiv.org/abs/2010.08855v1

    • [cs.CR]KaFHCa: Key-establishment via Frequency Hopping Collisions
    Muhammad Usman, Simone Raponi, Marwa Qaraqe, Gabriele Oligeri
    http://arxiv.org/abs/2010.09642v1

    • [cs.CR]Layer-wise Characterization of Latent Information Leakage in Federated Learning
    Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
    http://arxiv.org/abs/2010.08762v1

    • [cs.CR]Locality Sensitive Hashing with Extended Differential Privacy
    Natasha Fernandes, Yusuke Kawamoto, Takao Murakami
    http://arxiv.org/abs/2010.09393v1

    • [cs.CR]Secure Weighted Aggregation in Federated Learning
    Jiale Guo, Ziyao Liu, Kwok-Yan Lam, Jun Zhao, Yiqiang Chen, Chaoping Xing
    http://arxiv.org/abs/2010.08730v1

    • [cs.CV]A Backbone Replaceable Fine-tuning Network for Stable Face Alignment
    Xu Sun, Yingjie Guo, Shihong Xia
    http://arxiv.org/abs/2010.09501v1

    • [cs.CV]A Grid-based Representation for Human Action Recognition
    Soufiane Lamghari, Guillaume-Alexandre Bilodeau, Nicolas Saunier
    http://arxiv.org/abs/2010.08841v1

    • [cs.CV]A Self-supervised Cascaded Refinement Network for Point Cloud Completion
    Xiaogang Wang, Marcelo H Ang Jr, Gim Hee Lee
    http://arxiv.org/abs/2010.08719v1

    • [cs.CV]A Two-stage Unsupervised Approach for Low light Image Enhancement
    Junjie Hu, Xiyue Guo, Junfeng Chen, Guanqi Liang, Fuqin Deng
    http://arxiv.org/abs/2010.09316v1

    • [cs.CV]A Versatile Crack Inspection Portable System based on Classifier Ensemble and Controlled Illumination
    Milind G. Padalkar, Carlos Beltrán-González, Matteo Bustreo, Alessio Del Bue, Vittorio Murino
    http://arxiv.org/abs/2010.09557v1

    • [cs.CV]A combined full-reference image quality assessment method based on convolutional activation maps
    Domonkos Varga
    http://arxiv.org/abs/2010.09361v1

    • [cs.CV]Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
    Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman
    http://arxiv.org/abs/2010.08666v1

    • [cs.CV]Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering
    Hantao Huang, Tao Han, Wei Han, Deep Yap, Cheng-Ming Chiang
    http://arxiv.org/abs/2010.08708v1

    • [cs.CV]Attention Augmented ConvLSTM forEnvironment Prediction
    Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
    http://arxiv.org/abs/2010.09662v1

    • [cs.CV]Automatic Tree Ring Detection using Jacobi Sets
    Kayla Makela, Tim Ophelders, Michelle Quigley, Elizabeth Munch, Daniel Chitwood, Asia Dowtin
    http://arxiv.org/abs/2010.08691v1

    • [cs.CV]Bi-Real Net V2: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
    Zhuo Su, Linpu Fang, Deke Guo, Duwen Hu, Matti Pietikäinen, Li Liu
    http://arxiv.org/abs/2010.09294v1

    • [cs.CV]Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
    Xiaoyu Xiang, Qian Lin, Jan P. Allebach
    http://arxiv.org/abs/2010.08919v1

    • [cs.CV]Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation
    Zicong Zhang, Kimerly Powell, Changchang Yin, Shilei Cao, Dani Gonzalez, Yousef Hannawi, Ping Zhang
    http://arxiv.org/abs/2010.09586v1

    • [cs.CV]CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images
    Linchen Qian, Jiasong Chen, Timur Urakov, Weiyong Gu, Liang Liang
    http://arxiv.org/abs/2010.08713v1

    • [cs.CV]Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database
    Domonkos Varga
    http://arxiv.org/abs/2010.09414v1

    • [cs.CV]Continual Unsupervised Domain Adaptation with Adversarial Learning
    Joonhyuk Kim, Sahng-Min Yoo, Gyeong-Moon Park, Jong-Hwan Kim
    http://arxiv.org/abs/2010.09236v1

    • [cs.CV]Covapixels
    Jeffrey Uhlmann
    http://arxiv.org/abs/2010.09016v1

    • [cs.CV]DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
    Mohamed Ali Souibgui, Yousri Kessentini
    http://arxiv.org/abs/2010.08764v1

    • [cs.CV]DEAL: Difficulty-aware Active Learning for Semantic Segmentation
    Shuai Xie, Zunlei Feng, Ying Chen, Songtao Sun, Chao Ma, Mingli Song
    http://arxiv.org/abs/2010.08705v1

    • [cs.CV]Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
    Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman
    http://arxiv.org/abs/2010.09524v1

    • [cs.CV]Deep Structured Prediction for Facial Landmark Detection
    Lisha Chen, Hui Su, Qiang Ji
    http://arxiv.org/abs/2010.09035v1

    • [cs.CV]DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
    Michael Ulrich, Claudius Gläser, Fabian Timm
    http://arxiv.org/abs/2010.09273v1

    • [cs.CV]Detecting Hands and Recognizing Physical Contact in the Wild
    Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai
    http://arxiv.org/abs/2010.09676v1

    • [cs.CV]Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
    Sayan Banerjee, S Divakar Bhat, Subhasis Chaudhuri, Rajbabu Velmurugan
    http://arxiv.org/abs/2010.08800v1

    • [cs.CV]Discovering Pattern Structure Using Differentiable Compositing
    Pradyumna Reddy, Paul Guerrero, Matt Fisher, Wilmot Li, Miloy J. Mitra
    http://arxiv.org/abs/2010.08788v1

    • [cs.CV]Distortion-aware Monocular Depth Estimation for Omnidirectional Images
    Hong-Xiang Chen, Kunhong Li, Yulan Guo, Zhiheng Fu, Mengyi Liu
    http://arxiv.org/abs/2010.08942v1

    • [cs.CV]Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
    Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang
    http://arxiv.org/abs/2010.09561v1

    • [cs.CV]Double-Uncertainty Weighted Method for Semi-supervised Learning
    Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He
    http://arxiv.org/abs/2010.09298v1

    • [cs.CV]Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
    William Thomson, Neelanjan Bhowmik, Toby P. Breckon
    http://arxiv.org/abs/2010.08833v1

    • [cs.CV]Emerging Trends of Multimodal Research in Vision and Language
    Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumdar, Soujanya Poria, Roger Zimmermann, Amir Zadeh
    http://arxiv.org/abs/2010.09522v1

    • [cs.CV]Exploiting Context for Robustness to Label Noise in Active Learning
    Sudipta Paul, Shivkumar Chandrasekaran, B. S. Manjunath, Amit K. Roy-Chowdhury
    http://arxiv.org/abs/2010.09066v1

    • [cs.CV]Extraction of Discrete Spectra Modes from Video Data Using a Deep Convolutional Koopman Network
    Scott Leask, Vincent McDonell
    http://arxiv.org/abs/2010.09245v1

    • [cs.CV]FGAGT: Flow-Guided Adaptive Graph Tracking
    Chaobing Shan, Chunbo Wei, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Xiaoliang Cheng, Kewei Liang
    http://arxiv.org/abs/2010.09015v1

    • [cs.CV]Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing
    Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
    http://arxiv.org/abs/2010.08844v1

    • [cs.CV]Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition
    Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu
    http://arxiv.org/abs/2010.09290v1

    • [cs.CV]Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
    Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje, Ali Etemad
    http://arxiv.org/abs/2010.09084v1

    • [cs.CV]Gaussian Constrained Attention Network for Scene Text Recognition
    Zhi Qiao, Xugong Qin, Yu Zhou, Fei Yang, Weiping Wang
    http://arxiv.org/abs/2010.09169v1

    • [cs.CV]Generalized Intersection Algorithms with Fixpoints for Image Decomposition Learning
    Robin Richter, Duy H. Thai, Stephan F. Huckemann
    http://arxiv.org/abs/2010.08661v1

    • [cs.CV]Gradient Aware Cascade Network for Multi-Focus Image Fusion
    Boyuan Ma, Xiang Yin, Di Wu, Xiaojuan Ban, Haiyou Huang
    http://arxiv.org/abs/2010.08751v1

    • [cs.CV]Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
    Mahdi Saleh, Shervin Dehghani, Benjamin Busam, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/2010.09079v1

    • [cs.CV]Image Captioning with Visual Object Representations Grounded in the Textual Modality
    Dušan Variš, Katsuhito Sudoh, Satoshi Nakamura
    http://arxiv.org/abs/2010.09413v1

    • [cs.CV]Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
    Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler
    http://arxiv.org/abs/2010.09125v1

    • [cs.CV]Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
    Morris Klasen, Dirk Ahrens, Jonas Eberle, Volker Steinhage
    http://arxiv.org/abs/2010.09009v1

    • [cs.CV]Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion
    Timothy L. Molloy, Tobias Fischer, Michael Milford, Girish N. Nair
    http://arxiv.org/abs/2010.09228v1

    • [cs.CV]Language and Visual Entity Relationship Graph for Agent Navigation
    Yicong Hong, Cristian Rodriguez-Opazo, Yuankai Qi, Qi Wu, Stephen Gould
    http://arxiv.org/abs/2010.09304v1

    • [cs.CV]Learning to Reconstruct and Segment 3D Objects
    Bo Yang
    http://arxiv.org/abs/2010.09582v1

    • [cs.CV]Localized Interactive Instance Segmentation
    Soumajit Majumder, Angela Yao
    http://arxiv.org/abs/2010.09140v1

    • [cs.CV]Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
    Germán Barquero, Carles Fernández, Isabelle Hupont
    http://arxiv.org/abs/2010.08675v1

    • [cs.CV]MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining
    Kohei Yamamichi, Xian-Hua Han
    http://arxiv.org/abs/2010.09241v1

    • [cs.CV]MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
    Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset
    http://arxiv.org/abs/2010.09185v1

    • [cs.CV]MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
    Rakesh Shrestha, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Qingkun Su, Ping Tan
    http://arxiv.org/abs/2010.08682v1

    • [cs.CV]Modality-Pairing Learning for Brain Tumor Segmentation
    Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
    http://arxiv.org/abs/2010.09277v1

    • [cs.CV]Movement-induced Priors for Deep Stereo
    Yuxin Hou, Muhammad Kamran Janjua, Juho Kannala, Arno Solin
    http://arxiv.org/abs/2010.09105v1

    • [cs.CV]Multi-Modal Super Resolution for Dense Microscopic Particle Size Estimation
    Sarvesh Patil, Chava Y P D Phani Rajanish, Naveen Margankunte
    http://arxiv.org/abs/2010.09594v1

    • [cs.CV]Multi-Stage Fusion for One-Click Segmentation
    Soumajit Majumder, Ansh Khurana, Abhinav Rai, Angela Yao
    http://arxiv.org/abs/2010.09672v1

    • [cs.CV]Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier
    Behrouz Rostami, D. M. Anisuzzaman, Chuanbo Wang, Sandeep Gopalakrishnan, Jeffrey Niezgoda, Zeyun Yu
    http://arxiv.org/abs/2010.09593v1

    • [cs.CV]Multimodal semantic forecasting based on conditional generation of future features
    Kristijan Fugošić, Josip Šarić, Siniša Šegvić
    http://arxiv.org/abs/2010.09067v1

    • [cs.CV]Multiple Fut
    747
    ure Prediction Leveraging Synthetic Trajectories
    Lorenzo Berlincioni, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
    http://arxiv.org/abs/2010.08948v1

    • [cs.CV]Multiple Pedestrians and Vehicles Tracking in Aerial Imagery: A Comprehensive Study
    Seyed Majid Azimi, Maximilian Kraus, Reza Bahmanyar, Peter Reinartz
    http://arxiv.org/abs/2010.09689v1

    • [cs.CV]Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
    Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, Yasushi Yagi
    http://arxiv.org/abs/2010.09466v1

    • [cs.CV]On the Generalisation Capabilities of Fingerprint Presentation Attack Detection Methods in the Short Wave Infrared Domain
    Jascha Kolberg, Marta Gomez-Barrero, Christoph Busch
    http://arxiv.org/abs/2010.09566v1

    • [cs.CV]Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
    Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
    http://arxiv.org/abs/2010.08727v1

    • [cs.CV]PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images
    Pengbo Zhao, Zhenshen Qu, Yingjia Bu, Wenming Tan, Ye Ren, Shiliang Pu
    http://arxiv.org/abs/2010.08720v1

    • [cs.CV]PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
    Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
    http://arxiv.org/abs/2010.09713v1

    • [cs.CV]RADIATE: A Radar Dataset for Automotive Perception
    Marcel Sheeny, Emanuele De Pellegrin, Saptarshi Mukherjee, Alireza Ahrabian, Sen Wang, Andrew Wallace
    http://arxiv.org/abs/2010.09076v1

    • [cs.CV]RONELD: Robust Neural Network Output Enhancement for Active Lane Detection
    Zhe Ming Chng, Joseph Mun Hung Lew, Jimmy Addison Lee
    http://arxiv.org/abs/2010.09548v1

    • [cs.CV]Robust Face Alignment by Multi-order High-precision Hourglass Network
    Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao
    http://arxiv.org/abs/2010.08722v1

    • [cs.CV]Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
    Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee
    http://arxiv.org/abs/2010.09202v1

    • [cs.CV]SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes
    Juan J. Gómez Rodríguez, José Lamarca, Javier Morlana, Juan D. Tardós, José M. M. Montiel
    http://arxiv.org/abs/2010.09409v1

    • [cs.CV]SHREC 2020 track: 6D Object Pose Estimation
    Honglin Yuan, Remco C. Veltkamp, Georgios Albanis, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/2010.09355v1

    • [cs.CV]SMA-STN: Segmented Movement-Attending Spatiotemporal Network forMicro-Expression Recognition
    Jiateng Liu, Wenming Zheng, Yuan Zong
    http://arxiv.org/abs/2010.09342v1

    • [cs.CV]Self-Selective Context for Interaction Recognition
    Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold Smeulders
    http://arxiv.org/abs/2010.08750v1

    • [cs.CV]Self-Supervised Visual Attention Learning for Vehicle Re-Identification
    Ming Li, Yiming Zhao, Yecheng Lyu, Ziming Zhang
    http://arxiv.org/abs/2010.09221v1

    • [cs.CV]Self-supervised Co-training for Video Representation Learning
    Tengda Han, Weidi Xie, Andrew Zisserman
    http://arxiv.org/abs/2010.09709v1

    • [cs.CV]SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
    Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li
    http://arxiv.org/abs/2010.09343v1

    • [cs.CV]Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
    Pierfrancesco Ardino, Yahui Liu, Elisa Ricci, Bruno Lepri, Marco De Nadai
    http://arxiv.org/abs/2010.09334v1

    • [cs.CV]Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs
    Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour
    http://arxiv.org/abs/2010.08872v1

    • [cs.CV]Softer Pruning, Incremental Regularization
    Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu
    http://arxiv.org/abs/2010.09498v1

    • [cs.CV]Synthesizing the Unseen for Zero-shot Object Detection
    Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman Khan, Syed Waqas Zamir, Fahad Shahbaz Khan
    http://arxiv.org/abs/2010.09425v1

    • [cs.CV]Teacher-Student Competition for Unsupervised Domain Adaption
    Ruixin Xiao, Zhilei Liu, Baoyuan Wu
    http://arxiv.org/abs/2010.09572v1

    • [cs.CV]Temporal Binary Representation for Event-Based Action Recognition
    Simone Undri Innocenti, Federico Becattini, Federico Pernici, Alberto Del Bimbo
    http://arxiv.org/abs/2010.08946v1

    • [cs.CV]The NVIDIA PilotNet Experiments
    Mariusz Bojarski, Chenyi Chen, Joyjit Daw, Alperen Değirmenci, Joya Deri, Bernhard Firner, Beat Flepp, Sachin Gogri, Jesse Hong, Lawrence Jackel, Zhenhua Jia, BJ Lee, Bo Liu, Fei Liu, Urs Muller, Samuel Payne, Nischal Kota Nagendra Prasad, Artem Provodin, John Roach, Timur Rvachov, Neha Tadimeti, Jesper van Engelen, Haiguang Wen, Eric Yang, Zongyi Yang
    http://arxiv.org/abs/2010.08776v1

    • [cs.CV]The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes
    Yiluan Guo, Holger Caesar, Oscar Beijbom, Jonah Philion, Sanja Fidler
    http://arxiv.org/abs/2010.09350v1

    • [cs.CV]Unsupervised Domain Adaptation for Spatio-Temporal Action Localization
    Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang
    http://arxiv.org/abs/2010.09211v1

    • [cs.CV]Variational Capsule Encoder
    Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci
    http://arxiv.org/abs/2010.09102v1

    • [cs.CV]View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations
    Alireza Sepas-Moghaddam, Ali Etemad
    http://arxiv.org/abs/2010.09092v1

    • [cs.CV]Weakly-supervised Learning For Catheter Segmentation in 3D Frustum Ultrasound
    Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With
    http://arxiv.org/abs/2010.09525v1

    • [cs.CY]Against Scale: Provocations and Resistances to Scale Thinking
    Alex Hanna, Tina M. Park
    http://arxiv.org/abs/2010.08850v1

    • [cs.CY]An individual-level ground truth dataset for home location detection
    Luca Pappalardo, Leo Ferres, Manuel Sacasa, Ciro Cattuto, Loreto Bravo
    http://arxiv.org/abs/2010.08814v1

    • [cs.CY]Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
    Zhilong Chen, Hancheng Cao, Fengli Xu, Mengjie Cheng, Tao Wang, Yong Li
    http://arxiv.org/abs/2010.08612v1

    • [cs.CY]Users Perceptions about Teleconferencing Applications Collected through Twitter
    Abraham Woubie
    f9b, Pablo Pérez Zarazaga, Tom Bäckström
    http://arxiv.org/abs/2010.09488v1

    • [cs.DB]Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
    Jinta Weng, Ying Gao, Jing Qiu, Guozhu Ding, Huanqin Zheng
    http://arxiv.org/abs/2010.08995v1

    • [cs.DB]DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees
    R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic
    http://arxiv.org/abs/2010.09208v1

    • [cs.DB]Knowledge Graph-based Question Answering with Electronic Health Records
    Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi
    http://arxiv.org/abs/2010.09394v1

    • [cs.DC]A CAD-Based tool for fault tolerant distributed embedded systems
    Mahmoud I. Banat, Belal H. Sababha, Sami Al-Hamdan
    http://arxiv.org/abs/2010.08933v1

    • [cs.DC]A Demonstration of Smart Doorbell Design Using Federated Deep Learning
    Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali, John Breslin
    http://arxiv.org/abs/2010.09687v1

    • [cs.DC]Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages
    Maciej Besta, Torsten Hoefler
    http://arxiv.org/abs/2010.09135v1

    • [cs.DC]An Efficient and Balanced Graph Partition Algorithm for the Subgraph-Centric Programming Model on Large-scale Power-law Graphs
    Shuai Zhang, Zite Jiang, Xingzhong Hou, Zhen Guan, Mengting Yuan, Haihang You
    http://arxiv.org/abs/2010.09007v1

    • [cs.DC]Blockchain Based Decentralized Cyber Attack Detection for Large Scale Power Systems
    Paritosh Ramanan, Dan Li, Nagi Gebraeel
    http://arxiv.org/abs/2010.09086v1

    • [cs.DC]Decentralized and Secure Generation Maintenance with Differential Privacy
    Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
    http://arxiv.org/abs/2010.09099v1

    • [cs.DC]Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration
    Christos Tselios, Stavros Nousias, Dimitris Bitzas, Dimitrios Amaxilatis, Orestis Akrivopoulos, Aris S. Lalos, Konstantinos Moustakas, Ioannis Chatzigiannakis
    http://arxiv.org/abs/2010.09422v1

    • [cs.DC]Fault Tolerance for Remote Memory Access Programming Models
    Maciej Besta, Torsten Hoefler
    http://arxiv.org/abs/2010.09025v1

    • [cs.DC]From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
    Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
    http://arxiv.org/abs/2010.09258v1

    • [cs.DC]Joint Storage Allocation and Computation Design for Private Edge Computing
    Jiqing Chang, Jin Wang, Kejie Lu, Lingzhi Li, Fei Gu, Jianping Wang
    http://arxiv.org/abs/2010.09012v1

    • [cs.DC]Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach
    Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow
    http://arxiv.org/abs/2010.09055v1

    • [cs.DC]On the design of a Fog computing-based, driving behaviour monitoring framework
    Dimitrios Amaxilatis, Christos Tselios, Orestis Akrivopoulos, Ioannis Chatzigiannakis
    http://arxiv.org/abs/2010.09421v1

    • [cs.DC]Optimizing Memory Performance of Xilinx FPGAs under Vitis
    Ruoshi Li, Hongjing Huang, Zeke Wang, Zhiyuan Shao, Xiaofei Liao, Hai Jin
    http://arxiv.org/abs/2010.08916v1

    • [cs.DC]Pattern Formation by Robots with Inaccurate Movements
    Kaustav Bose, Archak Das, Buddhadeb Sau
    http://arxiv.org/abs/2010.09667v1

    • [cs.DC]RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs
    Kartik Lakhotia, Rajgopal Kannan, Viktor Prasanna, Cesar A. F. De Rose
    http://arxiv.org/abs/2010.08695v1

    • [cs.DC]Self-stabilizing Graph Exploration by a Single Agent
    Yuichi Sudo, Fukuhito Ooshita, Sayaka Kamei
    http://arxiv.org/abs/2010.08929v1

    • [cs.DC]The role of interactive super-computing in using HPC for urgent decision making
    Nick Brown, Rupert Nash, Gordon Gibb, Bianca Prodan, Max Kontak, Vyacheslav Olshevsky, Wei Der Chien
    http://arxiv.org/abs/2010.08774v1

    • [cs.DC]iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?
    Ludovic A. R. Capelli, Zhenjiang Hu, Timothy A. K. Zakian, Nick Brown, J. Mark Bull
    http://arxiv.org/abs/2010.08781v1

    • [cs.DL]Poincare: Recommending Publication Venues via Treatment Effect Estimation
    Ryoma Sato, Makoto Yamada, Hisashi Kashima
    http://arxiv.org/abs/2010.09157v1

    • [cs.DS]EPTAS for $k$-means Clustering of Affine Subspaces
    Eduard Eiben, Fedor V. Fomin, Petr A. Golovach, William Lochet, Fahad Panolan, Kirill Simonov
    http://arxiv.org/abs/2010.09580v1

    • [cs.DS]Hutch++: Optimal Stochastic Trace Estimation
    Raphael A. Meyer, Cameron Musco, Christopher Musco, David P. Woodruff
    http://arxiv.org/abs/2010.09649v1

    • [cs.ET]Optoelectronic Intelligence
    Jeffrey M. Shainline
    http://arxiv.org/abs/2010.08690v1

    • [cs.GR]Light Stage Super-Resolution: Continuous High-Frequency Relighting
    Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Fanello, Christoph Rhemann, Paul Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi
    http://arxiv.org/abs/2010.08888v1

    • [cs.GT]No-regreet learning and mixed Nash equilibria: They do not mix
    Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras
    http://arxiv.org/abs/2010.09514v1

    • [cs.IR]A Conglomerate of Multiple OCR Table Detection and Extraction
    Smita Pallavi, Raj Ratn Pranesh, Sumit Kumar
    http://arxiv.org/abs/2010.08591v1

    • [cs.IR]A Unified Model for Recommendation with Selective Neighborhood Modeling
    Jingwei Ma, Jiahui Wen, Panpan Zhang, Guangda Zhang, Xue Li
    http://arxiv.org/abs/2010.08547v1

    • [cs.IR]Check-N-Run: A Checkpointing System for Training Recommendation Models
    Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy
    http://arxiv.org/abs/2010.08679v1

    • [cs.IR]Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion
    Albert Weichselbraun, Philipp Kuntschik, Sandro Hörler
    http://arxiv.org/abs/2010.09249v1

    • [cs.IR]LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System
    Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, Niranjan Balasubramanian
    http://arxiv.org/abs/2010.09426v1

    • [cs.IT]5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
    Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst
    http://arxiv.org/abs/2010.09317v1

    • [cs.IT]Blocking Probability Analysis for 5G New Radio (NR) Physical Downlink Control Channel
    Mohammad Mozaffari, Y. -P. Eric Wang, Kittipong Kittichokechai
    http://arxiv.org/abs/2010.08829v1

    • [cs.IT]Causal Geometry
    Pavel Chvykov, Erik Hoel
    http://arxiv.org/abs/2010.09390v1

    • [cs.IT]Characterizing the First-Arriving Multipath Component in 5G Millimeter Wave Networks: TOA, AOA, and Non-Line-of-Sight Bias
    Christopher E. O’Lone, Harpreet S. Dhillon, R. Michael Buehrer
    http://arxiv.org/abs/2010.09282v1

    • [cs.IT]Cooperative Multi-Sensor Detection under Variable-Length Coding
    Mustapha Hamad, Michèle Wigger, Mireille Sarkiss
    http://arxiv.org/abs/2010.09616v1

    • [cs.IT]Fundamentals of Physical Layer Anonymous Communications: Sender Detection and Anonymous Precoding
    Zhongxiang Wei, Fan Liu, Christos Masouros, H. Vincent Poor
    http://arxiv.org/abs/2010.09122v1

    • [cs.IT]Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems
    Nhan Thanh Nguyen, Kyungchun Lee, Huaiyu Dai
    http://arxiv.org/abs/2010.09162v1

    • [cs.IT]Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design
    Xiaolun Jia, Xiangyun Zhou, Dusit Niyato, Jun Zhao
    http://arxiv.org/abs/2010.08947v1

    • [cs.IT]LoRa Performance Analysis with Superposed Signal Decoding
    J. M. de Souza Sant’Ana, A. Hoeller, R. D. Souza, H. Alves, S. Montejo-Sánchez
    http://arxiv.org/abs/2010.09625v1

    • [cs.IT]Max-Min Power Control in Downlink Massive MIMO with Distributed Antenna Arrays
    Noman Akbar, Emil Bjornson, Nan Yang, Erik G. Larsson
    http://arxiv.org/abs/2010.08966v1

    • [cs.IT]Multi-Agent Deep Reinforcement Learning for Distributed Resource Management in Wirelessly Powered Communication Networks
    Sangwon Hwang, Hanjin Kim, Hoon Lee, Inkyu Lee
    http://arxiv.org/abs/2010.09171v1

    • [cs.IT]Nonlinear Interference Analysis of Probabilistic Shaping vs. 4D Geometrically Shaped Formats
    Bin Chen, Chigo Okonkwo, Alex Alvarado
    http://arxiv.org/abs/2010.08981v1

    • [cs.IT]On Properties and Optimization of Information-theoretic Privacy Watchdog
    Parastoo Sadeghi, Ni Ding, Thierry Rakotoarivelo
    http://arxiv.org/abs/2010.09367v1

    • [cs.IT]On the best choice of Lasso program given data parameters
    Aaron Berk, Yaniv Plan, Özgür Yilmaz
    http://arxiv.org/abs/2010.08884v1

    • [cs.IT]Optimal Transmit Power and Flying Location for UAV Covert Wireless Communications
    Shihao Yan, Stephen V. Hanly, Iain B. Collings
    http://arxiv.org/abs/2010.09195v1

    • [cs.IT]Proximal-ADMM Decoder for Nonbinary LDPC Codes
    Yongchao Wang, Jing Bai
    http://arxiv.org/abs/2010.09534v1

    • [cs.IT]Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks
    Yifan Luo, Jindan Xu, Wei Xu, Kezhi Wang
    http://arxiv.org/abs/2010.08991v1

    • [cs.IT]Symmetric Private Polynomial Computation From Lagrange Encoding
    Jinbao Zhu, Qifa Yan, Xiaohu Tang
    http://arxiv.org/abs/2010.09326v1

    • [cs.IT]The Projective General Linear Group $\mathrm{PGL}_2(\mathrm{GF}(2^m))$ and Linear Codes of Length $2^m+1$
    Cunsheng Ding, Chunming Tang, Vladimir D. Tonchev
    http://arxiv.org/abs/2010.09448v1

    • [cs.LG]A Framework to Learn with Interpretation
    Jayneel Parekh, Pavlo Mozharovskyi, Florence d’Alche-Buc
    http://arxiv.org/abs/2010.09345v1

    • [cs.LG]A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models
    erhat Ozgur Catak, Samed Sivaslioglu, Kevser Sahinbas
    http://arxiv.org/abs/2010.08546v1

    • [cs.LG]A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
    Yunling Zheng, Zhijian Li, Jack Xin, Guofa Zhou
    http://arxiv.org/abs/2010.09077v1

    • [cs.LG]A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness
    Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales
    http://arxiv.org/abs/2010.08852v1

    • [cs.LG]A Uniformly Stable Algorithm For Unsupervised Feature Selection
    Xinxing Wu, Qiang Cheng
    http://arxiv.org/abs/2010.09416v1

    • [cs.LG]A case where a spindly two-layer linear network whips any neural network with a fully connected input layer
    Manfred K. Warmuth, Wojciech Kotłowski, Ehsan Amid
    http://arxiv.org/abs/2010.08625v1

    • [cs.LG]ARENA: A Data-driven Radio Access Networks Analysis of Football Events
    Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Xavier Costa-Perez, Georgios Agapiou, Hans D. Schotten
    http://arxiv.org/abs/2010.09467v1

    • [cs.LG]Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression
    Haleh Akrami, Anand A. Joshi, Sergul Aydore, Richard M. Leahy
    http://arxiv.org/abs/2010.09042v1

    • [cs.LG]Aggregating Dependent Gaussian Experts in Local Approximation
    Hamed Jalali, Gjergji Kasneci
    http://arxiv.org/abs/2010.08873v1

    • [cs.LG]Approximate information state for approximate planning and reinforcement learning in partially observed systems
    Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
    http://arxiv.org/abs/2010.08843v1

    • [cs.LG]Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
    Alvaro Cabrejas-Egea, Colm Connaughton
    http://arxiv.org/abs/2010.08819v1

    • [cs.LG]Average-reward model-free reinforcement learning: a systematic review and literature mapping
    Vektor Dewanto, George Dunn, Ali Eshragh, Marcus Gallagher, Fred Roosta
    http://arxiv.org/abs/2010.08920v1

    • [cs.LG]Bayesian Inference for Optimal Transport with Stochastic Cost
    Anton Mallasto, Markus Heinonen, Samuel Kaski
    http://arxiv.org/abs/2010.09327v1

    • [cs.LG]Bayesian Neural Networks with Soft Evidence
    Edward Yu
    http://arxiv.org/abs/2010.09570v1

    • [cs.LG]Binary Matrix Factorization on Special Purpose Hardware
    Osman Asif Malik, Hayato Ushijima-Mwesigwa, Arnab Roy, Avradip Mandal, Indradeep Ghosh
    http://arxiv.org/abs/2010.08693v1

    • [cs.LG]Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning
    Bingqing Yu, Jacopo Tagliabue
    http://arxiv.org/abs/2010.09495v1

    • [cs.LG]Causal Discovery using Compression-Complexity Measures
    Pranay SY, Nithin Nagaraj
    http://arxiv.org/abs/2010.09336v1

    • [cs.LG]Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
    Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
    http://arxiv.org/abs/2010.08710v1

    • [cs.LG]Chance-Constrained Control with Lexicographic Deep Reinforcement Learning
    Alessandro Gius
    4cd
    eppi, Antonio Pietrabissa
    http://arxiv.org/abs/2010.09468v1

    • [cs.LG]Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
    Anh Tong, Jaesik Choi
    http://arxiv.org/abs/2010.09301v1

    • [cs.LG]Characterizing and Taming Model Instability Across Edge Devices
    Eyal Cidon, Evgenya Pergament, Zain Asgar, Asaf Cidon, Sachin Katti
    http://arxiv.org/abs/2010.09028v1

    • [cs.LG]Class-incremental Learning with Pre-allocated Fixed Classifiers
    Federico Pernici, Matteo Bruni, Claudio Baecchi, Francesco Turchini, Alberto Del Bimbo
    http://arxiv.org/abs/2010.08657v1

    • [cs.LG]D2RL: Deep Dense Architectures in Reinforcement Learning
    Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg
    http://arxiv.org/abs/2010.09163v1

    • [cs.LG]DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
    Dennis Wei, Tian Gao, Yue Yu
    http://arxiv.org/abs/2010.09133v1

    • [cs.LG]DAN — An optimal Data Assimilation framework based on machine learning Recurrent Networks
    Pierre Boudier, Anthony Fillion, Serge Gratton, Selime Gürol
    http://arxiv.org/abs/2010.09694v1

    • [cs.LG]DIFER: Differentiable Automated Feature Engineering
    Guanghui Zhu, Zhuoer Xu, Xu Guo, Chunfeng Yuan, Yihua Huang
    http://arxiv.org/abs/2010.08784v1

    • [cs.LG]DeHiDe: Deep Learning-based Hybrid Model to Detect Fake News using Blockchain
    Prashansa Agrawal, Parwat Singh Anjana, Sathya Peri
    http://arxiv.org/abs/2010.08765v1

    • [cs.LG]Deep Learning in the Era of Edge Computing: Challenges and Opportunities
    Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu
    http://arxiv.org/abs/2010.08861v1

    • [cs.LG]Deep Submodular Networks for Extractive Data Summarization
    Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh Iyer
    http://arxiv.org/abs/2010.08593v1

    • [cs.LG]DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
    Aayam Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
    http://arxiv.org/abs/2010.08891v1

    • [cs.LG]Do Deeper Convolutional Networks Perform Better?
    Eshaan Nichani, Adityanarayanan Radhakrishnan, Caroline Uhler
    http://arxiv.org/abs/2010.09610v1

    • [cs.LG]Dynamic Ensemble Learning for Credit Scoring: A Comparative Study
    Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
    http://arxiv.org/abs/2010.08930v1

    • [cs.LG]ERIC: Extracting Relations Inferred from Convolutions
    Joe Townsend, Theodoros Kasioumis, Hiroya Inakoshi
    http://arxiv.org/abs/2010.09452v1

    • [cs.LG]Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
    Pranav Subramani, Nicholas Vadivelu, Gautam Kamath
    http://arxiv.org/abs/2010.09063v1

    • [cs.LG]End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination
    Cole Hawkins, Zheng Zhang
    http://arxiv.org/abs/2010.08689v1

    • [cs.LG]Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably
    Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu
    http://arxiv.org/abs/2010.09265v1

    • [cs.LG]Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
    Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone
    http://arxiv.org/abs/2010.09164v1

    • [cs.LG]FADER: Fast Adversarial Example Rejection
    Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
    http://arxiv.org/abs/2010.09119v1

    • [cs.LG]Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism
    Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
    http://arxiv.org/abs/2010.08899v1

    • [cs.LG]Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling
    Difan Zou, Pan Xu, Quanquan Gu
    http://arxiv.org/abs/2010.09597v1

    • [cs.LG]Feature Importance Ranking for Deep Learning
    Maksymilian Wojtas, Ke Chen
    http://arxiv.org/abs/2010.08973v1

    • [cs.LG]Federated Unsupervised Representation Learning
    Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li
    http://arxiv.org/abs/2010.08982v1

    • [cs.LG]Fourier Neural Operator for Parametric Partial Differential Equations
    Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar
    http://arxiv.org/abs/2010.08895v1

    • [cs.LG]Fractal Autoencoders for Feature Selection
    Xinxing Wu, Qiang Cheng
    http://arxiv.org/abs/2010.09430v1

    • [cs.LG]GANs for learning from very high class conditional noisy labels
    Sandhya Tripathi, N Hemachandra
    http://arxiv.org/abs/2010.09577v1

    • [cs.LG]Importance Reweighting for Biquality Learning
    Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
    http://arxiv.org/abs/2010.09621v1

    • [cs.LG]Improving Transformation Invariance in Contrastive Representation Learning
    Adam Foster, Rattana Pukdee, Tom Rainforth
    http://arxiv.org/abs/2010.09515v1

    • [cs.LG]JSRT: James-Stein Regression Tree
    Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Shu-Tao Xia
    http://arxiv.org/abs/2010.09022v1

    • [cs.LG]Learning Latent Space Energy-Based Prior Model for Molecule Generation
    Bo Pang, Tian Han, Ying Nian Wu
    http://arxiv.org/abs/2010.09351v1

    • [cs.LG]Learning Optimal Conditional Priors For Disentangled Representations
    Graziano Mita, Maurizio Filippone, Pietro Michiardi
    http://arxiv.org/abs/2010.09360v1

    • [cs.LG]Learning Parameter Distributions to Detect Concept Drift in Data Streams
    Johannes Haug, Gjergji Kasneci
    http://arxiv.org/abs/2010.09388v1

    • [cs.LG]Living in the Physics and Machine Learning Interplay for Earth Observation
    Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, Jose Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
    http://arxiv.org/abs/2010.09031v1

    • [cs.LG]MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
    Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
    http://arxiv.org/abs/2010.08830v1

    • [cs.LG]Machine Learning Evaluation of the Echo-Chamber Effect in Medical Forums
    Marina Sokolova, Victoria Bobicev
    http://arxiv.org/abs/2010.09574v1

    • [cs.LG]Meta-learning the Learning Trends Shared Across Tasks
    Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
    http://arxiv.org/abs/2010.09291v1

    • [cs.LG]Meta-path Free Semi-supervised Learning for Heterogeneous Networks
    Shin-woo Park, Byung Jun Bae, Jinyoung Yeo, Seung-won Hwang
    http://arxiv.org/abs/2010.08924v1

    • [cs.LG]MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization
    Wen Fei, Wenrui Da, Chenglin Li, Junni Zou, Hongkai Xiong
    http://arxiv.org/abs/2010.09278v1

    • [cs.LG]Model-based Policy Optimization with Unsupervised Model Adaptation
    Jian Shen, Han Zhao, Weinan Zhang, Yong Yu
    http://arxiv.org/abs/2010.09546v1

    • [cs.LG]Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading
    Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen
    http://arxiv.org/abs/2010.09094v1

    • [cs.LG]Multi-view Subspace Clustering Networks with Local and Global Graph Information
    Qinghai Zhenga, Jihua Zhua, Yuanyuan Maa, Zhongyu Lia, Zhiqiang Tiana
    http://arxiv.org/abs/2010.09323v1

    • [cs.LG]Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data
    Bart Bussmann, Jannes Nys, Steven Latré
    http://arxiv.org/abs/2010.09429v1

    • [cs.LG]Neuralizing Efficient Higher-order Belief Propagation
    Mohammed Haroon Dupty, Wee Sun Lee
    http://arxiv.org/abs/2010.09283v1

    • [cs.LG]On Size Generalization in Graph Neural Networks
    Gilad Yehudai, Ethan Fetaya, Eli Meirom, Gal Chechik, Haggai Maron
    http://arxiv.org/abs/2010.08853v1

    • [cs.LG]Online-to-Offline Advertisements as Field Experiments
    Akira Matsui, Daisuke Moriwaki
    http://arxiv.org/abs/2010.09121v1

    • [cs.LG]Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
    Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
    http://arxiv.org/abs/2010.09624v1

    • [cs.LG]PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
    Warren R. Morningstar, Alexander A. Alemi, Joshua V. Dillon
    http://arxiv.org/abs/2010.09629v1

    • [cs.LG]Parameter Norm Growth During Training of Transformers
    William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah Smith
    http://arxiv.org/abs/2010.09697v1

    • [cs.LG]Poisoned classifiers are not only backdoored, they are fundamentally broken
    Mingjie Sun, Siddhant Agarwal, J. Zico Kolt
    1436
    er
    http://arxiv.org/abs/2010.09080v1

    • [cs.LG]Prediction of daily maximum ozone levels using Lasso sparse modeling method
    Jiaqing Lv, Xiaohong Xu
    http://arxiv.org/abs/2010.08909v1

    • [cs.LG]Privacy-preserving Data Sharing on Vertically Partitioned Data
    Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela
    http://arxiv.org/abs/2010.09293v1

    • [cs.LG]Probabilistic Linear Solvers for Machine Learning
    Jonathan Wenger, Philipp Hennig
    http://arxiv.org/abs/2010.09691v1

    • [cs.LG]Probabilistic selection of inducing points for sparse Gaussian processes
    Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
    http://arxiv.org/abs/2010.09370v1

    • [cs.LG]Quantum-Inspired Classical Algorithm for Principal Component Regression
    Daniel Chen, Yekun Xu, Betis Baheri, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu
    http://arxiv.org/abs/2010.08626v1

    • [cs.LG]RobustBench: a standardized adversarial robustness benchmark
    Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
    http://arxiv.org/abs/2010.09670v1

    • [cs.LG]SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network
    Charalambos Chrysostomou, Loizos Koutsantonis, Christos Lemesios, Costas N. Papanicolas
    http://arxiv.org/abs/2010.09472v1

    • [cs.LG]Semi-supervised Batch Active Learning via Bilevel Optimization
    Zalán Borsos, Marco Tagliasacchi, Andreas Krause
    http://arxiv.org/abs/2010.09654v1

    • [cs.LG]Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
    Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu
    http://arxiv.org/abs/2010.09359v1

    • [cs.LG]Softmax Deep Double Deterministic Policy Gradients
    Ling Pan, Qingpeng Cai, Longbo Huang
    http://arxiv.org/abs/2010.09177v1

    • [cs.LG]Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic
    Daniel Zeltner, Benedikt Schmid, Gabor Csiszar, Orsolya Csiszar
    http://arxiv.org/abs/2010.08760v1

    • [cs.LG]Stationary Activations for Uncertainty Calibration in Deep Learning
    Lassi Meronen, Christabella Irwanto, Arno Solin
    http://arxiv.org/abs/2010.09494v1

    • [cs.LG]Survey on Causal-based Machine Learning Fairness Notions
    Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
    http://arxiv.org/abs/2010.09553v1

    • [cs.LG]Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering
    Qinghai Zhenga, Jihua Zhua, Zhongyu Lia, Haoyu Tanga, Shuangxun Maa
    http://arxiv.org/abs/2010.09193v1

    • [cs.LG]TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
    Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden
    http://arxiv.org/abs/2010.08678v1

    • [cs.LG]Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization
    Min Zhang, Yao Shu, Kun He
    http://arxiv.org/abs/2010.08766v1

    • [cs.LG]Training Stronger Baselines for Learning to Optimize
    Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
    http://arxiv.org/abs/2010.09089v1

    • [cs.LG]Universal guarantees for decision tree induction via a higher-order splitting criterion
    Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan
    http://arxiv.org/abs/2010.08633v1

    • [cs.LG]Unsupervised Foveal Vision Neural Networks with Top-Down Attention
    Ryan Burt, Nina N. Thigpen, Andreas Keil, Jose C. Principe
    http://arxiv.org/abs/2010.09103v1

    • [cs.LG]Using machine learning to reduce ensembles of geological models for oil and gas exploration
    Anna Roubícková, Lucy MacGregor, Nick Brown, Oliver Thomson Brown, Mike Stewart
    http://arxiv.org/abs/2010.08775v1

    • [cs.LG]Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
    Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
    http://arxiv.org/abs/2010.08755v1

    • [cs.LG]Verifying the Causes of Adversarial Examples
    Honglin Li, Yifei Fan, Frieder Ganz, Anthony Yezzi, Payam Barnaghi
    http://arxiv.org/abs/2010.09633v1

    • [cs.LG]What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator
    Hongyao Tang, Zhaopeng Meng, Jianye HAO, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
    http://arxiv.org/abs/2010.09536v1

    • [cs.LG]i-Mix: A Strategy for Regularizing Contrastive Representation Learning
    Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
    http://arxiv.org/abs/2010.08887v1

    • [cs.MM]Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning
    Pavlos Avgoustinakis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Andreas L. Symeonidis, Ioannis Kompatsiaris
    http://arxiv.org/abs/2010.08737v1

    • [cs.MM]DIME: An Online Tool for the Visual Comparison of Cross-Modal Retrieval Models
    Tony Zhao, Jaeyoung Choi, Gerald Friedland
    http://arxiv.org/abs/2010.09641v1

    • [cs.MM]Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream
    Haoran Wei, Fei Tao, Runze Su, Sen Yang, Ji Liu
    http://arxiv.org/abs/2010.09235v1

    • [cs.NE]Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
    Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos
    http://arxiv.org/abs/2010.09635v1

    • [cs.NE]Evolutionary Algorithm and Multifactorial Evolutionary Algorithm on Clustered Shortest-Path Tree problem
    Phan Thi Hong Hanh, Pham Dinh Thanh, Huynh Thi Thanh Binh
    http://arxiv.org/abs/2010.09309v1

    • [cs.NE]SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs
    Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu
    http://arxiv.org/abs/2010.09690v1

    • [cs.NE]The Capacity Constraint Physarum Solver
    Yusheng Huang, Dong Chu, Yong Deng, Kang Hao Cheong
    http://arxiv.org/abs/2010.09280v1

    • [cs.NI]6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks
    Emilio Calvanese Strinati, Sergio Barbarossa, Taesang Choi, Antonio Pietrabissa, Alessandro Giuseppi, Emanuele De Santis, Josep Vidal, Zdenek Becvar, Thomas Haustein, Nicolas Cassiau, Francesca Costanzo, Junhyeong Kim, Ilgyu Kim
    http://arxiv.org/abs/2010.09463v1

    • [cs.PF]Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs
    Joshua Hoke Davis, Christopher Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright
    http://arxiv.org/abs/2010.09454v1

    • [cs.PL]PPL Bench: Evaluation Framework For Probabilistic Programming Languages
    Sourabh Kulkarni, Kinjal Divesh Shah, Nimar Arora, Xiaoyan Wang, Yucen Lily Li, Nazanin Khosravani Tehrani, Michael Tingley, David Noursi, Narjes Torabi, Sepehr Akhavan Masouleh, Eric Lippert, Erik Meijer
    http://arxiv.org/abs/2010.08886v1

    • [cs.RO]A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
    Yifan Zhang, Qian Xu, Jianping Wang, Kui Wu, Zuduo Zheng, Kejie Lu
    http://arxiv.org/abs/2010.09533v1

    • [cs.RO]A Systematic Approach to Computing the Manipulator Jacobian and Hessian using the Elementary Transform Sequence
    Jesse Haviland, Peter Corke
    http://arxiv.org/abs/2010.08696v1

    • [cs.RO]Aerial Mobile Manipulator System to Enable Dexterous Manipulations with Increased Precision
    Abbaraju Praveen, Haoguang Yang, Hyukjun Jang, Richard M Voyles
    http://arxiv.org/abs/2010.09618v1

    • [cs.RO]Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion
    Amanda Bouman, Muhammad Fadhil Ginting, Nikhilesh Alatur, Matteo Palieri, David D. Fan, Thomas Touma, Torkom Pailevanian, Sung-Kyun Kim, Kyohei Otsu, Joel Burdick, Ali-akbar Agha-mohammadi
    http://arxiv.org/abs/2010.09259v1

    • [cs.RO]Belief-Grounded Networks for AcceleratedRobot Learning under Partial Observability
    Hai Nguyen, Brett Daley, Xinchao Song, Chistopher Amato, Robert Platt
    http://arxiv.org/abs/2010.09170v1

    • [cs.RO]CT-CPP: 3D Coverage Path Planning for Unknown Terrain Reconstruction using Coverage Trees
    Zongyuan Shen, Junnan Song, Khushboo Mittal, Shalabh Gupta
    http://arxiv.org/abs/2010.09231v1

    • [cs.RO]Constrained Motion Planning Networks X
    Ahmed H. Qureshi, Jiangeng Dong, Asfiya Baig, Michael C. Yip
    http://arxiv.org/abs/2010.08707v1

    • [cs.RO]Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks
    Yiduo Wang, Nils Funk, Milad Ramezani, Sotiris Papatheodorou, Marija Popovic, Marco Camurri, Stefan Leutenegger, Maurice Fallon
    http://arxiv.org/abs/2010.09232v1

    • [cs.RO]Extended Abstract: Motion Planners Learned from Geometric Hallucination
    Xuesu Xiao, Bo Liu, Peter Stone
    http://arxiv.org/abs/2010.09158v1

    • [cs.RO]Freetures:Localization in Signed Distance Function Maps
    Alexander Millane, Helen Oleynikova, Christian Lanegger, Jeff Delmerico, Juan Nieto, Roland Siegwart, Marc Pollefeys, Cesar Cadena
    http://arxiv.org/abs/2010.09378v1

    • [cs.RO]Generating Large Convex Polytopes Directly on Point Clouds
    Xingguang Zhong, Yuwei Wu, Dong Wang, Qianhao Wang, Chao Xu, Fei Gao
    http://arxiv.org/abs/2010.08744v1

    • [cs.RO]Inspection-on-the-fly using Hybrid Physical Interaction Control for Aerial Manipulators
    Abbaraju Praveen, Xin Ma, Harikrishnan Manoj, Vishnunandan LN. Venkatesh, Mo Rastgaar, Richard M. Voyles
    http://arxiv.org/abs/2010.09605v1

    • [cs.RO]Inverse Dynamics Control of Compliant Hybrid Zero Dynamic Walking
    Jenna Reher, Aaron D. Ames
    http://arxiv.org/abs/2010.09047v1

    • [cs.RO]Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
    Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
    http://arxiv.org/abs/2010.09555v1

    • [cs.RO]Lifelong update of semantic maps in dynamic environments
    Manjunath Narayana, Andreas Kolling, Lucio Nardelli, Phil Fong
    http://arxiv.org/abs/2010.08846v1

    • [cs.RO]MROS: Runtime Adaptation For Robot Control Architectures
    Carlos Hernandez Corbato, Darko Bozhinoski, Mario Garzon Oviedo, Gijs van der Hoorn, Nadia Hammoudeh Garcia, Harshavardhan Deshpande, Jon Tjerngren, Andrzej Wasowski
    http://arxiv.org/abs/2010.09145v1

    • [cs.RO]Model Hierarchy Predictive Control of Robotic Systems
    He Li, Robert J. Frei, Patrick M. Wensing
    http://arxiv.org/abs/2010.08881v1

    • [cs.RO]Model-Based Inverse Reinforcement Learning from Visual Demonstrations
    Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
    http://arxiv.org/abs/2010.09034v1

    • [cs.RO]Modeling and Implementation of Quadcopter Autonomous Flight Based on Alternative Methods to Determine Propeller Parameters
    Gene Patrick S. Rible, Nicolette Ann A. Arriola, Manuel C. Ramos Jr
    http://arxiv.org/abs/2010.08806v1

    • [cs.RO]NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators
    Jesse Haviland, Peter Corke
    http://arxiv.org/abs/2010.08686v1

    • [cs.RO]NimbRo-OP2X: Affordable Adult-sized 3D-printed Open-Source Humanoid Robot for Research
    Grzegorz Ficht, Hafez Farazi, Diego Rodriguez, Dmytro Pavlichenko, Philipp Allgeuer, Andre Brandenburger, Sven Behnke
    http://arxiv.org/abs/2010.09308v1

    • [cs.RO]Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants
    Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
    http://arxiv.org/abs/2010.08993v1

    • [cs.RO]Real-time Quadrotor Navigation Through Planning in Depth Space in Unstructured Environments
    Shakeeb Ahmad, Rafael Fierro
    http://arxiv.org/abs/2010.09098v1

    • [cs.RO]Robot Learning with Crash Constraints
    Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe
    http://arxiv.org/abs/2010.08669v1

    • [cs.RO]Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
    Xiyue Guo, Junjie Hu, Junfeng Chen, Fuqin Deng, Tin Lun Lam
    http://arxiv.org/abs/2010.09297v1

    • [cs.RO]Sky Highway Design for Dense Traffic
    Quan Quan, Mengxin Li
    http://arxiv.org/abs/2010.09159v1

    • [cs.RO]Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
    Bruno Brito, Hai Zhu, Wei Pan, Javier Alonso-Mora
    http://arxiv.org/abs/2010.09056v1

    • [cs.SD]CLAR: Contrastive Learning of Auditory Representations
    Haider Al-Tahan, Yalda Mohsenzadeh
    http://arxiv.org/abs/2010.09542v1

    • [cs.SD]Fast accuracy estimation of deep learning based multi-class musical source separation
    Alexandru Mocanu, Benjamin Ricaud, Milos Cernak
    http://arxiv.org/abs/2010.09453v1

    • [cs.SD]MicAugment: One-shot Microphone Style Transfer
    Zalán Borsos, Yunpeng Li, Beat Gfeller, Marco Tagliasacchi
    http://arxiv.org/abs/2010.09658v1

    • [cs.SD]Self-Attention Generative Adversarial Network for Speech Enhancement
    Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins
    http://arxiv.org/abs/2010.09132v1

    • [cs.SD]Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
    Mohamed Bader, Ismail Shahin, Abdelfatah Hassan
    http://arxiv.org/abs/2010.08770v1

    • [cs.SE]COSEA: Convolutional Code Search with Layer-wise Attention
    Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu
    http://arxiv.org/abs/2010.09520v1

    • [cs.SE]Visualization of Contributions to Open-Source Projects
    Andreas Schreiber
    http://arxiv.org/abs/2010.08874v1

    • [cs.SI]A method to evaluate the reliability of social media data for social network analysis
    Derek Weber, Mehwish Nasim, Lewis Mitchell, Lucia Falzon
    http://arxiv.org/abs/2010.08717v1

    • [cs.SI]CHECKED: Chinese COVID-19 Fake News Dataset
    Chen Yang, Xinyi Zhou, Reza Zafarani
    http://arxiv.org/abs/2010.09029v1

    • [cs.SI]Diffusion in large networks
    Michel Grabisch, Agnieszka Rusinowska, Xavier Venel
    http://arxiv.org/abs/2010.09256v1

    • [cs.SI]Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges
    Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu
    http://arxiv.org/abs/2010.09113v1

    • [cs.SI]Hot-Get-Richer Network Growth Model
    Faisal Nsour, Hiroki Sayama
    http://arxiv.org/abs/2010.08659v1

    • [cs.SI]Multilayer Network Analysis for Improved Credit Risk Prediction
    María Óskarsdóttir, Cristián Bravo
    http://arxiv.org/abs/2010.09559v1

    • [cs.SI]Searching for small-world and scale-free behaviour in long-term historical data of a real-world power grid
    Bálint Hartmann, Viktória Sugár
    http://arxiv.org/abs/2010.09315v1

    • [cs.SI]Summarizing graphs using configuration model
    Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
    http://arxiv.org/abs/2010.09175v1

    • [cs.SI]We Need to Rethink How We Describe and Organize Spatial Information: Instrumenting and Observing the Community of Users to Improve Data Description and Discovery
    Benjamin Adams, Mark Gahegan
    http://arxiv.org/abs/2010.09139v1

    • [econ.EM]Empirical likelihood and uniform convergence rates for dyadic kernel density estimation
    Harold D. Chiang, Bing Yang Tan
    http://arxiv.org/abs/2010.08838v1

    • [eess.AS]End-to-End Text-to-Speech using Latent Duration based on VQ-VAE
    Yusuke Yasuda, Xin Wang, Junichi Yamagishi
    http://arxiv.org/abs/2010.09602v1

    • [eess.AS]Reduce and Reconstruct: Improving Low-resource End-to-end ASR Via Reconstruction Using Reduced Vocabularies
    Anuj Diwan, Preethi Jyothi
    http://arxiv.org/abs/2010.09322v1

    • [eess.IV]GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
    Zhanwei Xu, Yukun Cao, Cheng Jin, Guozhu Shao, Xiaoqing Liu, Jie Zhou, Heshui Shi, Jianjiang Feng
    http://arxiv.org/abs/2010.09456v1

    • [eess.IV]Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models
    Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs
    http://arxiv.org/abs/2010.09622v1

    • [eess.IV]Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
    Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes
    http://arxiv.org/abs/2010.08952v1

    • [eess.SP]DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
    Yi Zhang, Akash Doshi, Rob Liston, Wai-tian Tan, Xiaoqing Zhu, Jeffrey G. Andrews, Robert W. Heath
    http://arxiv.org/abs/2010.09268v1

    • [eess.SP]Discriminability of Single-Layer Graph Neural Networks
    Samuel Pfrommer, Fernando Gama, Alejandro Ribeiro
    http://arxiv.org/abs/2010.08847v1

    • [eess.SP]Frequency-Hopping MIMO Radar-Based Communications: An Overview
    Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo
    http://arxiv.org/abs/2010.09257v1

    • [eess.SP]MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert
    Sibi C. Sethuraman, Pranav Kompally, Saraju P. Mohanty, Uma Choppali
    http://arxiv.org/abs/2010.08866v1

    • [eess.SP]Reinforcement Learning for Efficient and Tuning-Free Link Adaptation
    Vidit Saxena, Hugo Tullberg, Joakim Jaldén
    http://arxiv.org/abs/2010.08651v1

    • [eess.SY]Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability
    Manxi Wu, Saurabh Amin, Asuman Ozdaglar
    http://arxiv.org/abs/2010.09128v1

    • [hep-ex]Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
    Michael James Fenton, Alexander Shmakov, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
    http://arxiv.org/abs/2010.09206v1

    • [math.MG]Loci and Envelopes of Ellipse-Inscribed Triangles
    Mark Helman, Ronaldo Garcia, Dan Reznik
    http://arxiv.org/abs/2010.09408v1

    • [math.NA]An energy-based error bound of physics-informed neural network solutions in elasticity
    Mengwu Guo, Ehsan Haghighat
    http://arxiv.org/abs/2010.09088v1

    • [math.OC]Learning to solve TV regularized problems with unrolled algorithms
    Hamza Cherkaoui, Jeremias Sulam, Thomas Moreau
    http://arxiv.org/abs/2010.09545v1

    • [math.OC]Practical Frank-Wolfe algorithms
    Vladimir Kolmogorov
    http://arxiv.org/abs/2010.09567v1

    • [math.ST]A Multi-resolution Theory for Approximating Infinite-$p$-Zero-$n$: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-off
    Xinran Li, Xiao-Li Meng
    http://arxiv.org/abs/2010.08876v1

    • [math.ST]A factor-adjusted multiple testing of general alternatives
    Mengkun Du, Lan Wu
    http://arxiv.org/abs/2010.09589v1

    • [math.ST]Minimal enumeration of all possible total effects in a Markov equivalence class
    F. Richard Guo, Emilija Perković
    http://arxiv.org/abs/2010.08611v1

    • [math.ST]On the Consistency of Maximum Likelihood Estimators for Causal Network Identification
    Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
    http://arxiv.org/abs/2010.08870v1

    • [math.ST]Operator Augmentation for Noisy Elliptic Systems
    Philip A. Etter, Lexing Ying
    http://arxiv.org/abs/2010.09656v1

    • [math.ST]Quantile regression with ReLU Networks: Estimators and minimax rates
    Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen
    http://arxiv.org/abs/2010.08236v2

    • [math.ST]Reweighting samples under covariate shift using a Wasserstein distance criterion
    Julien Reygner, Adrien Touboul
    http://arxiv.org/abs/2010.09267v1

    • [math.ST]Statistical guarantees for generative models without domination
    Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan
    http://arxiv.org/abs/2010.09237v1

    • [math.ST]Variance-adaptive confidence sequences by betting
    Ian Waudby-Smith, Aaditya Ramdas
    http://arxiv.org/abs/2010.09686v1

    • [physics.comp-ph]FPGAs-as-a-Service Toolkit (FaaST)
    Dylan Sheldon Rankin, Jeffrey Krupa, Philip Harris, Maria Acosta Flechas, Burt Holzman, Thomas Klijnsma, Kevin Pedro, Nhan Tran, Scott Hauck, Shih-Chieh Hsu, Matthew Trahms, Kelvin Lin, Yu Lou, Ta-Wei Ho, Javier Duarte, Mia Liu
    http://arxiv.org/abs/2010.08556v1

    • [physics.med-ph]Measuring breathing induced oesophageal motion and its dosimetric impact
    Tobias Fechter, Sonja Adebahr, Anca-Ligia Grosu, Dimos Baltas
    http://arxiv.org/abs/2010.09391v1

    • [q-bio.BM]Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
    Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das
    http://arxiv.org/abs/2010.08548v1

    • [q-bio.NC]Body models in humans, animals, and robots
    Matej Hoffmann
    http://arxiv.org/abs/2010.09325v1

    • [q-bio.NC]Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org
    Laszlo Keresztes, Evelin Szogi, Balint Varga, Vince Grolmusz
    http://arxiv.org/abs/2010.09568v1

    • [q-bio.NC]Understanding Information Processing in Human Brain by Interpreting Machine Learning Models
    Ilya Kuzovkin
    http://arxiv.org/abs/2010.08715v1

    • [q-bio.QM]Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
    Matthew Ragoza, Tomohide Masuda, David Ryan Koes
    http://arxiv.org/abs/2010.08687v1

    • [q-fin.CP]Information Coefficient as a Performance Measure of Stock Selection Models
    Feng Zhang, Ruite Guo, Honggao Cao
    http://arxiv.org/abs/2010.08601v1

    • [q-fin.ST]Is Image Encoding Beneficial for Deep Learning in Finance? An Analysis of Image Encoding Methods for the Application of Convolutional Neural Networks in Finance
    Dan Wang, Tianrui Wang, Ionuţ Florescu
    http://arxiv.org/abs/2010.08698v1

    • [q-fin.TR]When Bots Take Over the Stock Market: Evasion Attacks Against Algorithmic Traders
    Elior Nehemya, Yael Mathov, Asaf Shabtai, Yuval Elovici
    http://arxiv.org/abs/2010.09246v1

    • [stat.AP]A data-driven P-spline smoother and the P-Spline-GARCH-models
    Yuanhua Feng, Wolfgang Karl Härdle
    http://arxiv.org/abs/2010.09376v1

    • [stat.AP]Evaluation of a meta-analysis of ambient air quality as a risk factor for asthma exacerbation
    Warren B. Kindzierski, S. Stanley Young, Terry G. Meyer, John D. Dunn
    http://arxiv.org/abs/2010.08628v1

    • [stat.AP]anomaly : Detection of Anomalous Structure in Time Series Data
    Alex Fisch, Daniel Grose, Idris A. Eckley, Paul Fearnhead, Lawrence Bardwell
    http://arxiv.org/abs/2010.09353v1

    • [stat.CO]Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
    Lizhen Lin, Bayan Saparbayeva, Michael Minyi Zhang, David B. Dunson
    http://arxiv.org/abs/2010.08908v1

    • [stat.CO]Maximal couplings of the Metropolis-Hastings algorithm
    John O’Leary, Guanyang Wang, Pierre E. Jacob
    http://arxiv.org/abs/2010.08573v1

    • [stat.ME]A tutorial comparing different covariate balancing methods with an application evaluating the causal effect of exercise on the progression of Huntington’s Disease
    Andreas Markoulidakis, Khadijeh Taiyari, Peter Holmans, Philip Pallmann, Monica Busse-Morris, Beth Ann Griffin
    http://arxiv.org/abs/2010.09563v1

    • [stat.ME]Conformal prediction interval for dynamic time-series
    Chen Xu, Yao Xie
    http://arxiv.org/abs/2010.09107v1

    • [stat.ME]Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks
    Aaron Hudson, Ali Shojaie
    http://arxiv.org/abs/2010.08704v1

    • [stat.ME]Estimating efficacy of measles supplementary immunization activities via discrete-time modeling of disease incidence time series
    Tracy Qi Dong, Jon Wakefield
    http://arxiv.org/abs/2010.08875v1

    • [stat.ME]Fast Spatial Autocorrelation
    Anar Amgalan, Lilianne R. Mujica-Parodi, Steven S. Skiena
    http://arxiv.org/abs/2010.08676v1

    • [stat.ME]Inverse Problem for Dynamic Computer Simulators via Multiple Scalar-valued Contour Estimation
    Joseph Resch, Pritam Ranjan, Abhyuday Mandal
    http://arxiv.org/abs/2010.08941v1

    • [stat.ME]LHD: An R package for efficient Latin hypercube designs with flexible sizes
    Hongzhi Wang, Qian Xiao, Abhyuday Mandal
    http://arxiv.org/abs/2010.09154v1

    • [stat.ME]Log-symmetric quantile regression models
    Helton Saulo, Alan Silva
    http://arxiv.org/abs/2010.09176v1

    • [stat.ME]Markov Neighborhood Regression for High-Dimensional Inference
    Faming Liang, Jingnan Xue, Bochao Jia
    http://arxiv.org/abs/2010.08864v1

    • [stat.ME]Online network monitoring
    Anna Malinovskaya, Philipp Otto
    http://arxiv.org/abs/2010.09398v1

    • [stat.ME]PSweight: An R Package for Propensity Score Weighting Analysis
    Tianhui Zhou, Guangyu Tong, Fan Li, Laine E. Thomas, Fan Li
    http://arxiv.org/abs/2010.08893v1

    • [stat.ME]Rater: An R Package for Fitting Statistical Models of Repeated Categorical Ratings
    Jeffrey Pullin, Lyle Gurrin, Damjan Vukcevic
    http://arxiv.org/abs/2010.09335v1

    • [stat.ME]Significance and Replication in simple counting experiments: Distributional Null Hypothesis Testing
    Fintan Costello, Paul Watts
    http://arxiv.org/abs/2010.09209v1

    • [stat.ME]Significance testing for canonical correlation analysis in high dimensions
    Ian W. McKeague, Xin Zhang
    http://arxiv.org/abs/2010.08673v1

    • [stat.ME]Statistical Inference for Qualitative Interactions with Applications to Precision Medicine and Differential Network Analysis
    Aaron Hudson, Ali Shojaie
    http://arxiv.org/abs/2010.08703v1

    • [stat.ME]Variograms for spatial functional data with phase variation
    Xiaohan Guo, Sebastian Kurtek, Karthik Bharath
    http://arxiv.org/abs/2010.09578v1

    • [stat.ML]Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
    Jessica Gronsbell, Molei Liu, Lu Tian, Tianxi Cai
    http://arxiv.org/abs/2010.09443v1

    • [stat.ML]Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter
    Tsuyoshi Ishizone, Tomoyuki Higuchi, Kazuyuki Nakamura
    http://arxiv.org/abs/2010.08729v1

    • [stat.ML]Factorization Machines with Regularization for Sparse Feature Interactions
    Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
    http://arxiv.org/abs/2010.09225v1

    • [stat.ML]Interpretable Machine Learning — A Brief History, State-of-the-Art and Challenges
    Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
    http://arxiv.org/abs/2010.09337v1

    • [stat.ML]Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood
    Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
    http://arxiv.org/abs/2010.09386v1

    • [stat.ML]On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework
    Qiuyun Zhu, Yves Atchade
    http://arxiv.org/abs/2010.08627v1

    • [stat.ML]On the Difficulty of Unbiased Alpha Divergence Minimization
    Tomas Geffner, Justin Domke
    http://arxiv.org/abs/2010.09541v1

    • [stat.ML]Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference
    Barkın Tuncer, Emre Özkan
    http://arxiv.org/abs/2010.08820v1

    • [stat.ML]Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding
    Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu
    http://arxiv.org/abs/2010.09576v1

    • [stat.ML]Robust Learning under Strong Noise via SQs
    Ioannis Anagnostides, Themis Gouleakis, Ali Marashian
    http://arxiv.org/abs/2010.09106v1

    • [stat.ML]Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
    Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati
    http://arxiv.org/abs/2010.09540v1