astro-ph.CO - 宇宙学和天体物理学

    cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.FA - 泛函演算 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 physics.geo-ph - 地球物理学 q-bio.BM - 生物分子 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.CO]Topological Echoes of Primordial Physics in the Universe at Large Scales
    • [cond-mat.mtrl-sci]Crystal Structure Search with Random Relaxations Using Graph Networks
    • [cs.AI]A Data-driven Human Responsibility Management System
    • [cs.AI]An Approach to Intelligent Pneumonia Detection and Integration
    • [cs.AI]BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations
    • [cs.AI]Brain Co-Processors: Using AI to Restore and Augment Brain Function
    • [cs.AI]Estimation of Gas Turbine Shaft Torque and Fuel Flow of a CODLAG Propulsion System Using Genetic Programming Algorithm
    • [cs.AI]Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
    • [cs.AI]Fixed Priority Global Scheduling from a Deep Learning Perspective
    • [cs.AI]GpuShareSat: a SAT solver using the GPU for clause sharing
    • [cs.AI]Improving Constraint Satisfaction Algorithm Efficiency for the AllDifferent Constraint
    • [cs.AI]Joint Estimation of Image Representations and their Lie Invariants
    • [cs.AI]MOCA: A Modular Object-Centric Approach for Interactive Instruction Following
    • [cs.AI]Neurosymbolic AI for Situated Language Understanding
    • [cs.AI]iGibson, a Simulation Environment for Interactive Tasks in Large RealisticScenes
    • [cs.AR]A Modern Primer on Processing in Memory
    • [cs.AR]Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
    • [cs.CL]A Sequence-Oblivious Generation Method for Context-Aware Hashtag Recommendation
    • [cs.CL]A Two-Systems Perspective for Computational Thinking
    • [cs.CL]An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
    • [cs.CL]An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations
    • [cs.CL]Benchmarking Intent Detection for Task-Oriented Dialog Systems
    • [cs.CL]Codeswitched Sentence Creation using Dependency Parsing
    • [cs.CL]Competition in Cross-situational Word Learning: A Computational Study
    • [cs.CL]Cross-Domain Sentiment Classification with In-Domain Contrastive Learning
    • [cs.CL]Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
    • [cs.CL]Data-Efficient Methods for Dialogue Systems
    • [cs.CL]Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization
    • [cs.CL]Document Graph for Neural Machine Translation
    • [cs.CL]Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
    • [cs.CL]Enhanced Offensive Language Detection Through Data Augmentation
    • [cs.CL]Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models
    • [cs.CL]From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information
    • [cs.CL]H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction
    • [cs.CL]Inductive Bias and Language Expressivity in Emergent Communication
    • [cs.CL]KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning
    • [cs.CL]Modeling and Utilizing User’s Internal State in Movie Recommendation Dialogue
    • [cs.CL]On-Device Sentence Similarity for SMS Dataset
    • [cs.CL]On-Device Tag Generation for Unstructured Text
    • [cs.CL]Over a Decade of Social Opinion Mining
    • [cs.CL]PPKE: Knowledge Representation Learning by Path-based Pre-training
    • [cs.CL]Reciprocal Supervised Learning Improves Neural Machine Translation
    • [cs.CL]Reference Knowledgeable Network for Machine Reading Comprehension
    • [cs.CL]Stylometry for Noisy Medieval Data: Evaluating Paul Meyer’s Hagiographic Hypothesis
    • [cs.CL]The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models
    • [cs.CL]Topical Change Detection in Documents via Embeddings of Long Sequences
    • [cs.CL]UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2
    • [cs.CL]Using previous acoustic context to improve Text-to-Speech synthesis
    • [cs.CL]What Meaning-Form Correlation Has to Compose With
    • [cs.CR]Black-box Model Inversion Attribute Inference Attacks on Classification Models
    • [cs.CR]Certified Robustness of Nearest Neighbors against Data Poisoning Attacks
    • [cs.CR]More style, less work: card-style data decrease risk-limiting audit sample sizes
    • [cs.CR]No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems
    • [cs.CR]On the Privacy and Integrity Risks of Contact-Tracing Applications
    • [cs.CR]PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment
    • [cs.CR]SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
    • [cs.CR]Verifiable Proof of Health using Public Key Cryptography
    • [cs.CR]Vulnerability Forecasting: In theory and practice
    • [cs.CV]A Singular Value Perspective on Model Robustness
    • [cs.CV]Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation
    • [cs.CV]An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data
    • [cs.CV]Any-Width Networks
    • [cs.CV]Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations
    • [cs.CV]Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
    • [cs.CV]Attention-based Saliency Hashing for Ophthalmic Image Retrieval
    • [cs.CV]Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
    • [cs.CV]Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors
    • [cs.CV]CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
    • [cs.CV]Cirrus: A Long-range Bi-pattern LiDAR Dataset
    • [cs.CV]CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
    • [cs.CV]Computer Stereo Vision for Autonomous Driving
    • [cs.CV]Confidence-aware Non-repetitive Multimodal Transformers for TextCaps
    • [cs.CV]Cross-Layer Distillation with Semantic Calibration
    • [cs.CV]CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN
    • [cs.CV]DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
    • [cs.CV]Depth Completion using Piecewise Planar Model
    • [cs.CV]Depth estimation from 4D light field videos
    • [cs.CV]Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
    • [cs.CV]Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping
    • [cs.CV]Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
    • [cs.CV]End-to-End Object Detection with Fully Convolutional Network
    • [cs.CV]End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
    • [cs.CV]Fine-Grained Dynamic Head for Object Detection
    • [cs.CV]Fine-grained Angular Contrastive Learning with Coarse Labels
    • [cs.CV]FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
    • [cs.CV]Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment Analysis
    • [cs.CV]Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
    • [cs.CV]Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
    • [cs.CV]IHashNet: Iris Hashing Network based on efficient multi-index hashing
    • [cs.CV]Identity-Driven DeepFake Detection
    • [cs.CV]Improving Auto-Encoders’ self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss
    • [cs.CV]Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
    • [cs.CV]It’s All Around You: Range-Guided Cylindrical Network for 3D Object Detection
    • [cs.CV]Knowledge Distillation Thrives on Data Augmentation
    • [cs.CV]LandCoverNet: A global benchmark land cover classification training dataset
    • [cs.CV]Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
    • [cs.CV]Learning Video Instance Segmentation with Recurrent Graph Neural Networks
    • [cs.CV]MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
    • [cs.CV]MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation
    • [cs.CV]Maximum Entropy Subspace Clustering Network
    • [cs.CV]Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
    • [cs.CV]Model Compression Using Optimal Transport
    • [cs.CV]Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition
    • [cs.CV]Multi-head Knowledge Distillation for Model Compression
    • [cs.CV]MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
    • [cs.CV]MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
    • [cs.CV]NeRD: Neural Reflectance Decomposition from Image Collections
    • [cs.CV]NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
    • [cs.CV]Online Adaptation for Consistent Mesh Reconstruction in the Wild
    • [cs.CV]PFA-GAN: Progressive Face Aging with Generative Adversarial Network
    • [cs.CV]PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
    • [cs.CV]PSCNet: Pyramidal Scale and Global Context Guided Network for Crowd Counting
    • [cs.CV]ParaNet: Deep Regular Representation for 3D Point Clouds
    • [cs.CV]Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling
    • [cs.CV]Pose-Guided Human Animation from a Single Image in the Wild
    • [cs.CV]ProMask: Probability Mask for Skeleton Detection
    • [cs.CV]Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models
    • [cs.CV]Rethinking FUN: Frequency-Domain Utilization Networks
    • [cs.CV]Rethinking Learnable Tree Filter for Generic Feature Transform
    • [cs.CV]Rethinking movie genre classification with fine-grained semantic clustering
    • [cs.CV]Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
    • [cs.CV]Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
    • [cs.CV]Self-Supervised Visual Representation Learning from Hierarchical Grouping
    • [cs.CV]Self-Training for Class-Incremental Semantic Segmentation
    • [cs.CV]Self-supervised asymmetric deep hashing with margin-scalable constraint for image retrieval
    • [cs.CV]Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks
    • [cs.CV]Skeleon-Based Typing Style Learning For Person Identification
    • [cs.CV]Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images
    • [cs.CV]Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
    • [cs.CV]Spatially-Adaptive Pixelwise Networks for Fast Image Translation
    • [cs.CV]Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
    • [cs.CV]Spectral Distribution aware Image Generation
    • [cs.CV]TediGAN: Text-Guided Diverse Image Generation and Manipulation
    • [cs.CV]Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos
    • [cs.CV]Towards Better Object Detection in Scale Variation with Adaptive Feature Selection
    • [cs.CV]Traffic flow prediction using Deep Sedenion Networks
    • [cs.CV]Understanding Bird’s-Eye View Semantic HD-Maps Using an Onboard Monocular Camera
    • [cs.CV]Unsupervised Pre-training for Person Re-identification
    • [cs.CV]VideoMix: Rethinking Data Augmentation for Video Classification
    • [cs.CV]Visual Aware Hierarchy Based Food Recognition
    • [cs.CV]YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data
    • [cs.CY]Bringing Cognitive Augmentation to Web Browsing Accessibility
    • [cs.CY]Conceptualizing and Realizing A Smart City Model for Bangladesh
    • [cs.CY]Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
    • [cs.CY]Social Responsibility of Algorithms
    • [cs.CY]The Impact of a STEM-based Entrepreneurship Program on the Entrepreneurial Intention of Secondary School Female Students
    • [cs.DC]An Asynchronous Maximum Independent Set Algorithm by Myopic Luminous Robots on Grids
    • [cs.DC]An Improved Framework of GPU Computing for CFD Applications on Structured Grids using OpenACC
    • [cs.DC]Centrality of nodes in Federated Byzantine Agreement Systems
    • [cs.DC]Compact Distributed Interactive Proofs for the Recognition of Cographs and Distance-Hereditary Graphs
    • [cs.DC]Recoverable Mutual Exclusion with Abortability
    • [cs.DC]SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
    • [cs.DC]Separation and Equivalence results for the Crash-stop and Crash-recovery Shared Memory Models
    • [cs.DC]SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud
    • [cs.DL]COVIDScholar: An automated COVID-19 research aggregation and analysis platform
    • [cs.DL]Modeling Updates of Scholarly Webpages Using Archived Data
    • [cs.DS]A bounded-noise mechanism for differential privacy
    • [cs.DS]Majority Opinion Diffusion in Social Networks: An Adversarial Approach
    • [cs.GT]Modeling Voters in Multi-Winner Approval Voting
    • [cs.GT]Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
    • [cs.HC]AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
    • [cs.HC]SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
    • [cs.IR]Aligning geographic entities from historical maps for building knowledge graphs
    • [cs.IR]Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation
    • [cs.IR]Conversational Browsing
    • [cs.IR]KATRec: Knowledge Aware aTtentive Sequential Recommendations
    • [cs.IR]Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
    • [cs.IT]A General BER Expression of Rectangular QAM with the Presence of Phase Noise
    • [cs.IT]Age Minimization Transmission Scheduling over Time-Correlated Fading Channel under An Average Energy Constraint
    • [cs.IT]Beam Management in 5G: A Stochastic Geometry Analysis
    • [cs.IT]Causal Posterior Matching and its Applications
    • [cs.IT]Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization
    • [cs.IT]How to Deploy Intelligent Reflecting Surfaces in Wireless Network: BS-side, User-side, or Both Sides?
    • [cs.IT]Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems Using Low-Resolution Signal Processing in C-RANs
    • [cs.IT]Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker
    • [cs.IT]On matrices potentially useful for tree codes
    • [cs.IT]Optimal Caching for Low Latency in Distributed Coded Storage Systems
    • [cs.IT]Pilot-Based Unsourced Random Access with a Massive MIMO Receiver, MRC and Polar Codes
    • [cs.IT]Two-Timescale Resource Allocation for Cooperative D2D Communication: A Matching Game Approach
    • [cs.LG]A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
    • [cs.LG]A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
    • [cs.LG]A Review of Designs and Applications of Echo State Networks
    • [cs.LG]A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
    • [cs.LG]A Weighted Solution to SVM Actionability and Interpretability
    • [cs.LG]A predictive model for kidney transplant graft survival using machine learning
    • [cs.LG]A three layer neural network can represent any discontinuous multivariate function
    • [cs.LG]Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
    • [cs.LG]Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
    • [cs.LG]Adaptive Weighted Discriminator for Training Generative Adversarial Networks
    • [cs.LG]Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways
    • [cs.LG]Autoencoding Variational Autoencoder
    • [cs.LG]Backpropagating Linearly Improves Transferability of Adversarial Examples
    • [cs.LG]Biclustering and Boolean Matrix Factorization in Data Streams
    • [cs.LG]Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
    • [cs.LG]Computing flood probabilities using Twitter: application to the Houston urban area during Harvey
    • [cs.LG]Continuum Limit of Lipschitz Learning on Graphs
    • [cs.LG]Contrastive Divergence Learning is a Time Reversal Adversarial Game
    • [cs.LG]Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
    • [cs.LG]Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment
    • [cs.LG]Deep Archimedean Copulas
    • [cs.LG]Deep Learning Methods for Credit Card Fraud Detection
    • [cs.LG]Deep Learning for Human Mobility: a Survey on Data and Models
    • [cs.LG]Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data
    • [cs.LG]Deep Neural Network Training without Multiplications
    • [cs.LG]Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games
    • [cs.LG]Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
    • [cs.LG]Different Approaches Towards Vertical Track Irregularity Prediction — A Comparative Study
    • [cs.LG]Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks
    • [cs.LG]Dynamic Clustering in Federated Learning
    • [cs.LG]Efficient Reservoir Management through Deep Reinforcement Learning
    • [cs.LG]Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications
    • [cs.LG]Exploitation of Channel-Learning for Enhancing 5G Blind Beam Index Detection
    • [cs.LG]FAIROD: Fairness-aware Outlier Detection
    • [cs.LG]FedSemi: An Adaptive Federated Semi-Supervised Learning Framework
    • [cs.LG]GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
    • [cs.LG]Generalised Perceptron Learning
    • [cs.LG]Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval
    • [cs.LG]Graph Mixture Density Networks
    • [cs.LG]HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
    • [cs.LG]Hierarchical Deep Recurrent Neural Network based Method for Fault Detection and Diagnosis
    • [cs.LG]Improving Fairness and Privacy in Selection Problems
    • [cs.LG]Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics
    • [cs.LG]LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
    • [cs.LG]Learning Graph Neural Networks with Approximate Gradient Descent
    • [cs.LG]Learning Interpretable Concept-Based Models with Human Feedback
    • [cs.LG]Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
    • [cs.LG]Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection
    • [cs.LG]Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
    • [cs.LG]Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization
    • [cs.LG]MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
    • [cs.LG]MFST: A Python OpenFST Wrapper With Support for Custom Semirings and Jupyter Notebooks
    • [cs.LG]Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?
    • [cs.LG]Mapping Network States Using Connectivity Queries
    • [cs.LG]Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation
    • [cs.LG]Multi-target normal behaviour models for wind farm condition monitoring
    • [cs.LG]NCGNN: Node-level Capsule Graph Neural Network
    • [cs.LG]Neural Online Graph Exploration
    • [cs.LG]One-bit feedback is sufficient for upper confidence bound policies
    • [cs.LG]PAC-Learning for Strategic Classification
    • [cs.LG]Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression
    • [cs.LG]Parallel Training of Deep Networks with Local Updates
    • [cs.LG]Perfect density models cannot guarantee anomaly detection
    • [cs.LG]Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information
    • [cs.LG]Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space
    • [cs.LG]Randomized kernels for large scale Earth observation applications
    • [cs.LG]Recent Developments in Boolean Matrix Factorization
    • [cs.LG]Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion
    • [cs.LG]Reprogramming Language Models for Molecular Representation Learning
    • [cs.LG]Reset-Free Lifelong Learning with Skill-Space Planning
    • [cs.LG]Revenue Maximization and Learning in Products Ranking
    • [cs.LG]Risk-based Adaptive Deep Learning for Entity Resolution
    • [cs.LG]Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
    • [cs.LG]Sample-efficient proper PAC learning with approximate differential privacy
    • [cs.LG]Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games
    • [cs.LG]Semi-supervised Soil Moisture Prediction through Graph Neural Networks
    • [cs.LG]Sobolev Wasserstein GAN
    • [cs.LG]Space-Filling Subset Selection for an Electric Battery Model
    • [cs.LG]Stronger Calibration Lower Bounds via Sidestepping
    • [cs.LG]SuperCoder: Program Learning Under Noisy Conditions From Superposition of States
    • [cs.LG]The Neural Coding Framework for Learning Generative Models
    • [cs.LG]TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
    • [cs.LG]Understanding Interpretability by generalized distillation in Supervised Classification
    • [cs.LG]Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
    • [cs.LG]VC Dimension and Distribution-Free Sample-Based Testing
    • [cs.LG]Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems
    • [cs.LG]Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning
    • [cs.LG]Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
    • [cs.LG]When Do Curricula Work?
    • [cs.LG]Why Unsupervised Deep Networks Generalize
    • [cs.MM]DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
    • [cs.NE]A multi-agent evolutionary robotics framework to train spiking neural networks
    • [cs.NE]Evaluating adversarial robustness in simulated cerebellum
    • [cs.NE]Multivariate Density Estimation with Deep Neural Mixture Models
    • [cs.NE]Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
    • [cs.NI]CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
    • [cs.RO]A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
    • [cs.RO]A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation
    • [cs.RO]Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method
    • [cs.RO]Conditional Generative Adversarial Networks for Optimal Path Planning
    • [cs.RO]Depth estimation on embedded computers for robot swarms in forest
    • [cs.RO]Design and Implementation of Path Trackers for Ackermann Drive based Vehicles
    • [cs.RO]Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping
    • [cs.RO]Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model
    • [cs.RO]Efficient Volumetric Mapping Using Depth Completion With Uncertainty for Robotic Navigation
    • [cs.RO]Enhanced Consumer Feedback Enabler System for Advertisement Boards using Auto Panning Camera
    • [cs.RO]Exploiting Implicit Kinematic Kernel for Controlling a Wearable Robotic Extra-finger
    • [cs.RO]Generative Adversarial Network based Heuristics for Sampling-based Path Planning
    • [cs.RO]Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs
    • [cs.RO]Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints
    • [cs.RO]Learning Tactile Models for Factor Graph-based State Estimation
    • [cs.RO]Learning from Experience for Rapid Generation of Local Car Maneuvers
    • [cs.RO]Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
    • [cs.RO]Obstacle avoidance and path finding for mobile robot navigation
    • [cs.RO]On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions
    • [cs.RO]Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop
    • [cs.RO]RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control
    • [cs.RO]TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint
    • [cs.SD]A CSMT challenge dataset for the identification of computer generated melodies
    • [cs.SD]Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization
    • [cs.SD]Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks
    • [cs.SD]Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements
    • [cs.SD]Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function
    • [cs.SD]Source Separation and Depthwise Separable Convolutions for Computer Audition
    • [cs.SI]A Theory for Backtrack-Downweighted Walks
    • [cs.SI]Branching Process with Attack: Viral Competing Markets
    • [cs.SI]Investigating the effects of Goodreads challenges on individuals reading habits
    • [cs.SI]Maximizing Social Welfare in a Competitive Diffusion Model
    • [cs.SI]Maximizing the Influence: Analytic Activation Probability Computation Approach
    • [cs.SI]Mixed-SCORE+ for mixed membership community detection
    • [cs.SI]Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation
    • [cs.SI]Social System Inference from Noisy Observations
    • [cs.SI]Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter
    • [cs.SI]Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks
    • [cs.SI]Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis
    • [econ.GN]Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland
    • [eess.AS]MLS: A Large-Scale Multilingual Dataset for Speech Research
    • [eess.IV]An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
    • [eess.IV]Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
    • [eess.IV]Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
    • [eess.IV]Development and Characterization of a Chest CT Atlas
    • [eess.IV]Efficient Kernel based Matched Filter Approach for Segmentation of Retinal Blood Vessels
    • [eess.IV]Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network
    • [eess.IV]Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes
    • [eess.IV]Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data
    • [eess.IV]Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture
    • [eess.IV]Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
    • [eess.IV]Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
    • [eess.IV]The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
    • [eess.IV]Using Machine Learning to Automate Mammogram Images Analysis
    • [eess.SP]A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network
    • [eess.SP]Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems
    • [eess.SP]ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss
    • [eess.SP]Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks
    • [eess.SP]Low-Latency Asynchronous Logic Design for Inference at the Edge
    • [eess.SP]Spatio-Temporal Graph Scattering Transform
    • [math.FA]The universal approximation theorem for complex-valued neural networks
    • [math.MG]A Note on John Simplex with Positive Dilation
    • [math.NA]Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors
    • [math.NA]Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning
    • [math.OC]A Distributed and Secure Algorithm for Computing Dominant SVD Based on Projection Splitting
    • [math.OC]Acceleration in Hyperbolic and Spherical Spaces
    • [math.OC]Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs
    • [math.OC]Convergence of block coordinate descent with diminishing radius for nonconvex optimization
    • [math.OC]Mixed robustness: Analysis of systems with uncertain deterministic and random parameters using the example of linear systems
    • [math.PR]Uniform Central Limit Theorem for self normalized sums in high dimensions
    • [math.ST]A Lecture About the Use of Orlicz Spaces in Information Geometry
    • [math.ST]Algebraic geometry of discrete interventional models
    • [math.ST]Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators
    • [math.ST]Independent Elliptical Distributions Minimize Their $\mathcal{W}_2$ Wasserstein Distance from Independent Elliptical Distributions with the Same Density Generator
    • [math.ST]Likelihood Geometry of Correlation Models
    • [math.ST]MCMC Confidence Intervals and Biases
    • [math.ST]Near-Optimal Model Discrimination with Non-Disclosure
    • [math.ST]Selecting the number of components in PCA via random signflips
    • [physics.ao-ph]Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality
    • [physics.comp-ph]Multitask machine learning of collective variables for enhanced sampling of rare events
    • [physics.geo-ph]Bidirectional recurrent neural networks for seismic event detection
    • [q-bio.BM]Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
    • [q-bio.QM]Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis
    • [q-bio.QM]Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction
    • [quant-ph]Deep neural network predicts parameters of quantum many-body Hamiltonians by learning visualized wave-functions
    • [quant-ph]Foundations for Near-Term Quantum Natural Language Processing
    • [quant-ph]Grammar-Aware Question-Answering on Quantum Computers
    • [quant-ph]Machine learning pipeline for quantum state estimation with incomplete measurements
    • [quant-ph]Quantum Dynamics of Optimization Problems
    • [stat.AP]A Bayesian approach to deconvolution in well test analysis
    • [stat.AP]Bayesian Modeling of Spatial Molecular Profiling Data via Gaussian Process
    • [stat.AP]Modeling animal movement with directional persistence and attractive points
    • [stat.AP]Network Group Testing
    • [stat.ME]A U-statistic-based test of treatment effect heterogeneity
    • [stat.ME]A modified maximum contrast method for unequal sample sizes in pharmacogenomic studies
    • [stat.ME]Bayesian model for early dose-finding in phase I trials with multiple treatment courses
    • [stat.ME]Better Experimental Design by Hybridizing Binary Matching with Imbalance Optimization
    • [stat.ME]Connecting Instrumental Variable methods for causal inference to the Estimand Framework
    • [stat.ME]Consistent and robust inference in hazard probability and odds models with discrete-time survival data
    • [stat.ME]Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring
    • [stat.ME]Robustness on Networks
    • [stat.ME]Sample size calculations for single-arm survival studies using transformations of the Kaplan-Meier estimator
    • [stat.ME]Selective Inference for Hierarchical Clustering
    • [stat.ML]Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
    • [stat.ML]DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization
    • [stat.ML]Estimating Vector Fields from Noisy Time Series
    • [stat.ML]Explainable Artificial Intelligence: How Subsets of the Training Data Affect a Prediction
    • [stat.ML]Joint Optimization of an Autoencoder for Clustering and Embedding
    • [stat.ML]Learning summary features of time series for likelihood free inference
    • [stat.ML]Nonnegative Matrix Factorization with Toeplitz Penalty
    • [stat.ML]Nonnegative Matrix Factorization with Zellner Penalty
    • [stat.ML]Online Model Selection: a Rested Bandit Formulation
    • [stat.ML]Passive Approach for the K-means Problem on Streaming Data
    • [stat.ML]Rejoinder: New Objectives for Policy Learning
    • [stat.ML]Stochastic Gradient Descent with Large Learning Rate
    • [stat.ML]Teaching reproducible research for medical students and postgraduate pharmaceutical scientists

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

    • [astro-ph.CO]Topological Echoes of Primordial Physics in the Universe at Large Scales
    Alex Cole, Matteo Biagetti, Gary Shiu
    http://arxiv.org/abs/2012.03616v1

    • [cond-mat.mtrl-sci]Crystal Structure Search with Random Relaxations Using Graph Networks
    Gowoon Cheon, Lusann Yang, Kevin McCloskey, Evan J. Reed, Ekin D. Cubuk
    http://arxiv.org/abs/2012.02920v1

    • [cs.AI]A Data-driven Human Responsibility Management System
    Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang
    http://arxiv.org/abs/2012.03190v1

    • [cs.AI]An Approach to Intelligent Pneumonia Detection and Integration
    Bonaventure F. P. Dossou, Alena Iureva, Sayali R. Rajhans, Vamsi S. Pidikiti
    http://arxiv.org/abs/2012.03487v1

    • [cs.AI]BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations
    Xingyu Zhao, Xiaowei Huang, Valentin Robu, David Flynn
    http://arxiv.org/abs/2012.03058v1

    • [cs.AI]Brain Co-Processors: Using AI to Restore and Augment Brain Function
    Rajesh P. N. Rao
    http://arxiv.org/abs/2012.03378v1

    • [cs.AI]Estimation of Gas Turbine Shaft Torque and Fuel Flow of a CODLAG Propulsion System Using Genetic Programming Algorithm
    Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, Zlatan Car
    http://arxiv.org/abs/2012.03527v1

    • [cs.AI]Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
    Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang
    http://arxiv.org/abs/2012.03204v1

    • [cs.AI]Fixed Priority Global Scheduling from a Deep Learning Perspective
    Hyunsung Lee, Michel Wang, Honguk Woo
    http://arxiv.org/abs/2012.03002v1

    • [cs.AI]GpuShareSat: a SAT solver using the GPU for clause sharing
    Nicolas Prevot
    http://arxiv.org/abs/2012.03119v1

    • [cs.AI]Improving Constraint Satisfaction Algorithm Efficiency for the AllDifferent Constraint
    Geoff Harris
    http://arxiv.org/abs/2012.03624v1

    • [cs.AI]Joint Estimation of Image Representations and their Lie Invariants
    Christine Allen-Blanchette, Kostas Daniilidis
    http://arxiv.org/abs/2012.02903v1

    • [cs.AI]MOCA: A Modular Object-Centric Approach for Interactive Instruction Following
    Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim, Roozbeh Mottaghi, Jonghyun Choi
    http://arxiv.org/abs/2012.03208v1

    • [cs.AI]Neurosymbolic AI for Situated Language Understanding
    Nikhil Krishnaswamy, James Pustejovsky
    http://arxiv.org/abs/2012.02947v1

    • [cs.AI]iGibson, a Simulation Environment for Interactive Tasks in Large RealisticScenes
    Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D’Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese
    http://arxiv.org/abs/2012.02924v1

    • [cs.AR]A Modern Primer on Processing in Memory
    Onur Mutlu, Saugata Ghose, Juan Gómez-Luna, Rachata Ausavarungnirun
    http://arxiv.org/abs/2012.03112v1

    • [cs.AR]Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
    Akshay Dua, Yixing Li, Fengbo Ren
    http://arxiv.org/abs/2012.03177v1

    • [cs.CL]A Sequence-Oblivious Generation Method for Context-Aware Hashtag Recommendation
    Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng
    http://arxiv.org/abs/2012.02957v1

    • [cs.CL]A Two-Systems Perspective for Computational Thinking
    Arvind W Kiwelekar, Swanand Navandar, Dharmendra K. Yadav
    http://arxiv.org/abs/2012.03201v1

    • [cs.CL]An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
    Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi
    http://arxiv.org/abs/2012.03468v1

    • [cs.CL]An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations
    Saibo Geng, Diego Antognini
    http://arxiv.org/abs/2012.03656v1

    • [cs.CL]Benchmarking Intent Detection for Task-Oriented Dialog Systems
    Haode Qi, Lin Pan, Atin Sood, Abhishek Shah, Ladislav Kunc, Saloni Potdar
    http://arxiv.org/abs/2012.03929v1

    • [cs.CL]Codeswitched Sentence Creation using Dependency Parsing
    Dhruval Jain, Arun D Prabhu, Shubham Vatsal, Gopi Ramena, Naresh Purre
    http://arxiv.org/abs/2012.02990v1

    • [cs.CL]Competition in Cross-situational Word Learning: A Computational Study
    Aida Nematzadeh, Zahra Shekarchi, Thomas L. Griffiths, Suzanne Stevenson
    http://arxiv.org/abs/2012.03370v1

    • [cs.CL]Cross-Domain Sentiment Classification with In-Domain Contrastive Learning
    Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer
    http://arxiv.org/abs/2012.02943v1

    • [cs.CL]Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
    Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi
    http://arxiv.org/abs/2012.02952v1

    • [cs.CL]Data-Efficient Methods for Dialogue Systems
    Igor Shalyminov
    http://arxiv.org/abs/2012.02929v1

    • [cs.CL]Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization
    Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu
    http://arxiv.org/abs/2012.03502v1

    • [cs.CL]Document Graph for Neural Machine Translation
    Mingzhou Xu, Liangyou Li, Derek. F. Wai, Qun Liu, Lidia S. Chao
    http://arxiv.org/abs/2012.03477v1

    • [cs.CL]Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
    Tunazzina Islam, Dan Goldwasser
    http://arxiv.org/abs/2012.02939v1

    • [cs.CL]Enhanced Offensive Language Detection Through Data Augmentation
    Ruibo Liu, Guangxuan Xu, Soroush Vosoughi
    http://arxiv.org/abs/2012.02954v1

    • [cs.CL]Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models
    Lizhen Tan, Olga Golovneva
    http://arxiv.org/abs/2012.03864v1

    • [cs.CL]From syntactic structure to semantic relationship: hypernym extraction from definitions by recurrent neural networks using the part of speech information
    Yixin Tan, Xiaomeng Wang, Tao Jia
    http://arxiv.org/abs/2012.03418v1

    • [cs.CL]H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction
    Jhih-Wei Chen, Tsu-Jui Fu, Chen-Kang Lee, Wei-Yun Ma
    http://arxiv.org/abs/2012.03536v1

    • [cs.CL]Inductive Bias and Language Expressivity in Emergent Communication
    Shangmin Guo, Yi Ren, Agnieszka Słowik, Kory Mathewson
    http://arxiv.org/abs/2012.02875v1

    • [cs.CL]KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning
    Bin He, Xin Jiang, Jinghui Xiao, Qun Liu
    http://arxiv.org/abs/2012.03551v1

    • [cs.CL]Modeling and Utilizing User’s Internal State in Movie Recommendation Dialogue
    Takashi Kodama, Ribeka Tanaka, Sadao Kurohashi
    http://arxiv.org/abs/2012.03118v1

    • [cs.CL]On-Device Sentence Similarity for SMS Dataset
    Arun D Prabhu, Nikhil Arora, Shubham Vatsal, Gopi Ramena, Sukumar Moharana, Naresh Purre
    http://arxiv.org/abs/2012.02819v1

    • [cs.CL]On-Device Tag Generation for Unstructured Text
    Manish Chugani, Shubham Vatsal, Gopi Ramena, Sukumar Moharana, Naresh Purre
    http://arxiv.org/abs/2012.02983v1

    • [cs.CL]Over a Decade of Social Opinion Mining
    Keith Cortis, Brian Davis
    http://arxiv.org/abs/2012.03091v1

    • [cs.CL]PPKE: Knowledge Representation Learning by Path-based Pre-training
    Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu
    http://arxiv.org/abs/2012.03573v1

    • [cs.CL]Reciprocal Supervised Learning Improves Neural Machine Translation
    Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li
    http://arxiv.org/abs/2012.02975v1

    • [cs.CL]Reference Knowledgeable Network for Machine Reading Comprehension
    Yilin Zhao, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2012.03709v1

    • [cs.CL]Stylometry for Noisy Medieval Data: Evaluating Paul Meyer’s Hagiographic Hypothesis
    Jean-Baptiste Camps, Thibault Clérice, Ariane Pinche
    http://arxiv.org/abs/2012.03845v1

    • [cs.CL]The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models
    José Lopes, Francisco J. Chiyah Garcia, Helen Hastie
    http://arxiv.org/abs/2012.03855v1

    • [cs.CL]Topical Change Detection in Documents via Embeddings of Long Sequences
    Dennis Aumiller, Satya Almasian, Sebastian Lackner, Michael Gertz
    http://arxiv.org/abs/2012.03619v1

    • [cs.CL]UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2
    Yunyi Yang, Yunhao Li, Xiaojun Quan
    http://arxiv.org/abs/2012.03539v1

    • [cs.CL]Using previous acoustic context to improve Text-to-Speech synthesis
    Pilar Oplustil-Gallegos, Simon King
    http://arxiv.org/abs/2012.03763v1

    • [cs.CL]What Meaning-Form Correlation Has to Compose With
    Timothee Mickus, Timothée Bernard, Denis Paperno
    http://arxiv.org/abs/2012.03833v1

    • [cs.CR]Black-box Model Inversion Attribute Inference Attacks on Classification Models
    Shagufta Mehnaz, Ninghui Li, Elisa Bertino
    http://arxiv.org/abs/2012.03404v1

    • [cs.CR]Certified Robustness of Nearest Neighbors against Data Poisoning Attacks
    Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
    http://arxiv.org/abs/2012.03765v1

    • [cs.CR]More style, less work: card-style data decrease risk-limiting audit sample sizes
    Amanda K. Glazer, Jacob V. Spertus, Philip B. Stark
    http://arxiv.org/abs/2012.03371v1

    • [cs.CR]No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems
    Alessandro Erba, Nils Ole Tippenhauer
    http://arxiv.org/abs/2012.03586v1

    • [cs.CR]On the Privacy and Integrity Risks of Contact-Tracing Applications
    Jianwei Huang, Vinod Yegneswaran, Phillip Porras, Guofei Gu
    http://arxiv.org/abs/2012.03283v1

    • [cs.CR]PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment
    Fumiyuki Kato, Yang Cao, Yoshikawa Masatoshi
    http://arxiv.org/abs/2012.03782v1

    • [cs.CR]SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
    Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han
    http://arxiv.org/abs/2012.03386v1

    • [cs.CR]Verifiable Proof of Health using Public Key Cryptography
    Abhishek Singh, Ramesh Raskar
    http://arxiv.org/abs/2012.02885v1

    • [cs.CR]Vulnerability Forecasting: In theory and practice
    Éireann Leverett, Matilda Rhode, Adam Wedgbury
    http://arxiv.org/abs/2012.03814v1

    • [cs.CV]A Singular Value Perspective on Model Robustness
    Malhar Jere, Maghav Kumar, Farinaz Koushanfar
    http://arxiv.org/abs/2012.03516v1

    • [cs.CV]Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation
    Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang
    http://arxiv.org/abs/2012.03603v1

    • [cs.CV]An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data
    Benjamin Rausch, Kevin Mayer, Marie-Louise Arlt, Gunther Gust, Philipp Staudt, Christof Weinhardt, Dirk Neumann, Ram Rajagopal
    http://arxiv.org/abs/2012.03690v1

    • [cs.CV]Any-Width Networks
    Thanh Vu, Marc Eder, True Price, Jan-Michael Frahm
    http://arxiv.org/abs/2012.03153v1

    • [cs.CV]Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations
    Akshay Joshi, Ankit Agrawal, Sushmita Nair
    http://arxiv.org/abs/2012.03377v1

    • [cs.CV]Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
    Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao
    http://arxiv.org/abs/2012.02994v1

    • [cs.CV]Attention-based Saliency Hashing for Ophthalmic Image Retrieval
    Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang, Yan Hu, Jiang Liu
    http://arxiv.org/abs/2012.03466v1

    • [cs.CV]Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
    Zichu Liu, Qing Zhang, Pei Wang, Yaxin Li, Jingqian Sun
    http://arxiv.org/abs/2012.03152v1

    • [cs.CV]Boosting Image Super-Resolution Via Fusion of Complementary Information Captured by Multi-Modal Sensors
    Fan Wang, Jiangxin Yang, Yanlong Cao, Yanpeng Cao, Michael Ying Yang
    http://arxiv.org/abs/2012.03417v1

    • [cs.CV]CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
    Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu
    http://arxiv.org/abs/2012.03015v1

    • [cs.CV]Cirrus: A Long-range Bi-pattern LiDAR Dataset
    Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
    http://arxiv.org/abs/2012.02938v1

    • [cs.CV]CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
    Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi
    http://arxiv.org/abs/2012.03400v1

    • [cs.CV]Computer Stereo Vision for Autonomous Driving
    Rui Fan, Li Wang, Mohammud Junaid Bocus, Ioannis Pitas
    http://arxiv.org/abs/2012.03194v1

    • [cs.CV]Confidence-aware Non-repetitive Multimodal Transformers for TextCaps
    Zhaokai Wang, Renda Bao, Qi Wu, Si Liu
    http://arxiv.org/abs/2012.03662v1

    • [cs.CV]Cross-Layer Distillation with Semantic Calibration
    Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen
    http://arxiv.org/abs/2012.03236v1

    • [cs.CV]CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN
    Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Jong Chul Ye
    http://arxiv.org/abs/2012.03842v1

    • [cs.CV]DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation
    Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, Xiaohui Xie
    http://arxiv.org/abs/2012.03197v1

    • [cs.CV]Depth Completion using Piecewise Planar Model
    Yiran Zhong, Yuchao Dai, Hongdong Li
    http://arxiv.org/abs/2012.03195v1

    • [cs.CV]Depth estimation from 4D light field videos
    Takahiro Kinoshita, Satoshi Ono
    http://arxiv.org/abs/2012.03021v1

    • [cs.CV]Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
    Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner
    http://arxiv.org/abs/2012.03065v1

    • [cs.CV]Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping
    Jie Ou, Hong Wu
    http://arxiv.org/abs/2012.03316v1

    • [cs.CV]Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, Isabelle Bloch
    http://arxiv.org/abs/2012.02818v1

    • [cs.CV]End-to-End Object Detection with Fully Convolutional Network
    Jianfeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
    http://arxiv.org/abs/2012.03544v1

    • [cs.CV]End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
    Denis Coquenet, Clément Chatelain, Thierry Paquet
    http://arxiv.org/abs/2012.03868v1

    • [cs.CV]Fine-Grained Dynamic Head for Object Detection
    Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng
    http://arxiv.org/abs/2012.03519v1

    • [cs.CV]Fine-grained Angular Contrastive Learning with Coarse Labels
    Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky
    http://arxiv.org/abs/2012.03515v1

    • [cs.CV]FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
    Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Murphy
    http://arxiv.org/abs/2012.02951v1

    • [cs.CV]Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment Analysis
    Joshua Ball
    http://arxiv.org/abs/2012.03170v1

    • [cs.CV]Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
    Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad
    http://arxiv.org/abs/2012.03108v1

    • [cs.CV]Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
    Haokui Zhang, Ying Li, Yenan Jiang, Peng Wang, Qiang Shen, Chunhua Shen
    http://arxiv.org/abs/2012.03439v1

    • [cs.CV]IHashNet: Iris Hashing Network based on efficient multi-index hashing
    Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam, Rameshwar Pratap
    http://arxiv.org/abs/2012.03881v1

    • [cs.CV]Identity-Driven DeepFake Detection
    Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo
    http://arxiv.org/abs/2012.03930v1

    • [cs.CV]Improving Auto-Encoders’ self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss
    Aymene Mohammed Bouayed, Karim Atif, Rachid Deriche, Abdelhakim Saim
    http://arxiv.org/abs/2012.03322v1

    • [cs.CV]Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
    Woo-Jeoung Nam, jaesik choi, Seong-Whan Lee
    http://arxiv.org/abs/2012.03434v1

    • [cs.CV]It’s All Around You: Range-Guided Cylindrical Network for 3D Object Detection
    Meytal Rapoport-Lavie, Dan Raviv
    http://arxiv.org/abs/2012.03121v1

    • [cs.CV]Knowledge Distillation Thrives on Data Augmentation
    Huan Wang, Suhas Lohit, Michael Jones, Yun Fu
    http://arxiv.org/abs/2012.02909v1

    • [cs.CV]LandCoverNet: A global benchmark land cover classification training dataset
    Hamed Alemohammad, Kevin Booth
    http://arxiv.org/abs/2012.03111v1

    • [cs.CV]Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
    Samim Ahmadi, Jan Christian Hauffen, Linh Kästner, Peter Jung, Giuseppe Caire, Mathias Ziegler
    http://arxiv.org/abs/2012.03547v1

    • [cs.CV]Learning Video Instance Segmentation with Recurrent Graph Neural Networks
    Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg
    http://arxiv.org/abs/2012.03911v1

    • [cs.CV]MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
    Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic
    http://arxiv.org/abs/2012.02821v1

    • [cs.CV]MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation
    Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie
    http://arxiv.org/abs/2012.03206v1

    • [cs.CV]Maximum Entropy Subspace Clustering Network
    Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang
    http://arxiv.org/abs/2012.03176v1

    • [cs.CV]Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
    Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan
    http://arxiv.org/abs/2012.03480v1

    • [cs.CV]Model Compression Using Optimal Transport
    Suhas Lohit, Michael Jones
    http://arxiv.org/abs/2012.03907v1

    • [cs.CV]Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition
    Tingwei Li, Ruiwen Zhang, Qing Li
    http://arxiv.org/abs/2012.02970v1

    • [cs.CV]Multi-head Knowledge Distillation for Model Compression
    Huan Wang, Suhas Lohit, Michael Jones, Yun Fu
    http://arxiv.org/abs/2012.02911v1

    • [cs.CV]MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
    Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang, Manolis Savva
    http://arxiv.org/abs/2012.03912v1

    • [cs.CV]MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
    Charles N. C. Freitas, Filipe R. Cordeiro, Valmir Macario
    http://arxiv.org/abs/2012.03087v1

    • [cs.CV]NeRD: Neural Reflectance Decomposition from Image Collections
    Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
    http://arxiv.org/abs/2012.03918v1

    • [cs.CV]NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
    Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron
    http://arxiv.org/abs/2012.03927v1

    • [cs.CV]Online Adaptation for Consistent Mesh Reconstruction in the Wild
    Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz
    http://arxiv.org/abs/2012.03196v1

    • [cs.CV]PFA-GAN: Progressive Face Aging with Generative Adversarial Network
    Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan
    http://arxiv.org/abs/2012.03459v1

    • [cs.CV]PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
    Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu
    http://arxiv.org/abs/2012.03408v1

    • [cs.CV]PSCNet: Pyramidal Scale and Global Context Guided Network for Crowd Counting
    Guangshuai Gao, Qingjie Liu, Qi Wen, Yunhong Wang
    http://arxiv.org/abs/2012.03597v1

    • [cs.CV]ParaNet: Deep Regular Representation for 3D Point Clouds
    Qijian Zhang, Junhui Hou, Yue Qian, Juyong Zhang, Ying He
    http://arxiv.org/abs/2012.03028v1

    • [cs.CV]Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling
    Amir Rasouli, Mohsen Rohani, Jun Luo
    http://arxiv.org/abs/2012.03298v1

    • [cs.CV]Pose-Guided Human Animation from a Single Image in the Wild
    Jae Shin Yoon, Lingjie Liu, Vladislav Golyanik, Kripasindhu Sarkar, Hyun Soo Park, Christian Theobalt
    http://arxiv.org/abs/2012.03796v1

    • [cs.CV]ProMask: Probability Mask for Skeleton Detection
    Xiuxiu Bai, Lele Ye, Zhe Liu
    http://arxiv.org/abs/2012.03003v1

    • [cs.CV]Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models
    Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin
    http://arxiv.org/abs/2012.03369v1

    • [cs.CV]Rethinking FUN: Frequency-Domain Utilization Networks
    Kfir Goldberg, Stav Shapiro, Elad Richardson, Shai Avidan
    http://arxiv.org/abs/2012.03357v1

    • [cs.CV]Rethinking Learnable Tree Filter for Generic Feature Transform
    Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng
    http://arxiv.org/abs/2012.03482v1

    • [cs.CV]Rethinking movie genre classification with fine-grained semantic clustering
    Edward Fish, Andrew Gilbert, Jon Weinbren
    http://arxiv.org/abs/2012.02639v2

    • [cs.CV]Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
    Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das
    http://arxiv.org/abs/2012.03358v1

    • [cs.CV]Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
    Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
    http://arxiv.org/abs/2012.03438v1

    • [cs.CV]Self-Supervised Visual Representation Learning from Hierarchical Grouping
    Xiao Zhang, Michael Maire
    http://arxiv.org/abs/2012.03044v1

    • [cs.CV]Self-Training for Class-Incremental Semantic Segmentation
    Lu Yu, Xialei Liu, Joost van de Weijer
    http://arxiv.org/abs/2012.03362v1

    • [cs.CV]Self-supervised asymmetric deep hashing with margin-scalable constraint for image retrieval
    Zhengyang Yu, Zhihao Dou, Song Wu
    http://arxiv.org/abs/2012.03820v1

    • [cs.CV]Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks
    Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad
    http://arxiv.org/abs/2012.03093v1

    • [cs.CV]Skeleon-Based Typing Style Learning For Person Identification
    Lior Gelberg, David Mendlovic, Dan Raviv
    http://arxiv.org/abs/2012.03212v1

    • [cs.CV]Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images
    Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
    http://arxiv.org/abs/2012.03843v1

    • [cs.CV]Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
    Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui
    http://arxiv.org/abs/2012.03762v1

    • [cs.CV]Spatially-Adaptive Pixelwise Networks for Fast Image Translation
    Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
    http://arxiv.org/abs/2012.02992v1

    • [cs.CV]Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
    Roi Ronen, Yoav Y. Schechner, Eshkol Eytan
    http://arxiv.org/abs/2012.03223v1

    • [cs.CV]Spectral Distribution aware Image Generation
    Steffen Jung, Margret Keuper
    http://arxiv.org/abs/2012.03110v1

    • [cs.CV]TediGAN: Text-Guided Diverse Image Generation and Manipulation
    Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
    http://arxiv.org/abs/2012.03308v1

    • [cs.CV]Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos
    Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie
    http://arxiv.org/abs/2012.03205v1

    • [cs.CV]Towards Better Object Detection in Scale Variation with Adaptive Feature Selection
    Zehui Gong, Dong Li
    http://arxiv.org/abs/2012.03265v1

    • [cs.CV]Traffic flow prediction using Deep Sedenion Networks
    Alabi Bojesomo, Panos Liatsis, Hasan Al Marzouqi
    http://arxiv.org/abs/2012.03874v1

    • [cs.CV]Understanding Bird’s-Eye View Semantic HD-Maps Using an Onboard Monocular Camera
    Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Paudel, Luc Van Gool
    http://arxiv.org/abs/2012.03040v1

    • [cs.CV]Unsupervised Pre-training for Person Re-identification
    Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen
    http://arxiv.org/abs/2012.03753v1

    • [cs.CV]VideoMix: Rethinking Data Augmentation for Video Classification
    Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim
    http://arxiv.org/abs/2012.03457v1

    • [cs.CV]Visual Aware Hierarchy Based Food Recognition
    Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu
    http://arxiv.org/abs/2012.03368v1

    • [cs.CV]YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data
    Saeed Khaki, Hieu Pham, Lizhi Wang
    http://arxiv.org/abs/2012.03129v1

    • [cs.CY]Bringing Cognitive Augmentation to Web Browsing Accessibility
    Alessandro Pina, Marcos Baez, Florian Daniel
    http://arxiv.org/abs/2012.03743v1

    • [cs.CY]Conceptualizing and Realizing A Smart City Model for Bangladesh
    Nafees Mansoor
    http://arxiv.org/abs/2012.03055v1

    • [cs.CY]Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
    Kosuke Imai, Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin
    http://arxiv.org/abs/2012.02845v1

    • [cs.CY]Social Responsibility of Algorithms
    Alexis Tsoukiàs
    http://arxiv.org/abs/2012.03319v1

    • [cs.CY]The Impact of a STEM-based Entrepreneurship Program on the Entrepreneurial Intention of Secondary School Female Students
    Mojtaba Shahin, Olivia Ilic, Chris Gonsalvez, Jon Whittle
    http://arxiv.org/abs/2012.03746v1

    • [cs.DC]An Asynchronous Maximum Independent Set Algorithm by Myopic Luminous Robots on Grids
    Sayaka Kamei, Sébastien Tixeuil
    http://arxiv.org/abs/2012.03399v1

    • [cs.DC]An Improved Framework of GPU Computing for CFD Applications on Structured Grids using OpenACC
    Weicheng Xue, Charles W. Jackson, Christoper J. Roy
    http://arxiv.org/abs/2012.02925v1

    • [cs.DC]Centrality of nodes in Federated Byzantine Agreement Systems
    André Gaul, Jörg Liesen
    http://arxiv.org/abs/2012.03913v1

    • [cs.DC]Compact Distributed Interactive Proofs for the Recognition of Cographs and Distance-Hereditary Graphs
    Pedro Montealegre, Diego Ramírez-Romero, Iván Rapaport
    http://arxiv.org/abs/2012.03185v1

    • [cs.DC]Recoverable Mutual Exclusion with Abortability
    Prasad Jayanti, Anup Joshi
    http://arxiv.org/abs/2012.03140v1

    • [cs.DC]SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
    Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Chen, Keqin Li
    http://arxiv.org/abs/2012.03550v1

    • [cs.DC]Separation and Equivalence results for the Crash-stop and Crash-recovery Shared Memory Models
    Ohad Ben-Baruch, Srivatsan Ravi
    http://arxiv.org/abs/2012.03692v1

    • [cs.DC]SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud
    Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei
    http://arxiv.org/abs/2012.03576v1

    • [cs.DL]COVIDScholar: An automated COVID-19 research aggregation and analysis platform
    Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin Persson, Gerbrand Ceder
    http://arxiv.org/abs/2012.03891v1

    • [cs.DL]Modeling Updates of Scholarly Webpages Using Archived Data
    Yasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles
    http://arxiv.org/abs/2012.03397v1

    • [cs.DS]A bounded-noise mechanism for differential privacy
    Yuval Dagan, Gil Kur
    http://arxiv.org/abs/2012.03817v1

    • [cs.DS]Majority Opinion Diffusion in Social Networks: An Adversarial Approach
    Ahad N. Zehmakan
    http://arxiv.org/abs/2012.03143v1

    • [cs.GT]Modeling Voters in Multi-Winner Approval Voting
    Jaelle Scheuerman, Jason Harman, Nicholas Mattei, K. Brent Venable
    http://arxiv.org/abs/2012.02811v1

    • [cs.GT]Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
    Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
    http://arxiv.org/abs/2012.02930v1

    • [cs.HC]AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
    Anton Smerdov, Evgeny Burnaev, Andrey Somov
    http://arxiv.org/abs/2012.03491v1

    • [cs.HC]SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
    Madina Abdrakhmanova, Askat Kuzdeuov, Sheikh Jarju, Yerbolat Khassanov, Michael Lewis, Huseyin Atakan Varol
    http://arxiv.org/abs/2012.02961v1

    • [cs.IR]Aligning geographic entities from historical maps for building knowledge graphs
    Kai Sun, Yingjie Hu, Jia Song, Yunqiang Zhu
    http://arxiv.org/abs/2012.03069v1

    • [cs.IR]Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation
    Fei Huang, Alexandre Sava, Kondo H. Adjallah, Wang Zhouhang
    http://arxiv.org/abs/2012.03830v1

    • [cs.IR]Conversational Browsing
    Svitlana Vakulenko, Vadim Savenkov, Maarten de Rijke
    http://arxiv.org/abs/2012.03704v1

    • [cs.IR]KATRec: Knowledge Aware aTtentive Sequential Recommendations
    Mehrnaz Amjadi, Danial Mohseni-Taheri, Theja Tulabandhula
    http://arxiv.org/abs/2012.03323v1

    • [cs.IR]Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
    Jiansheng Fang, Xiaoqing Zhang, Yan Hu, Yanwu Xu, Ming Yang, Jiang Liu
    http://arxiv.org/abs/2012.03433v1

    • [cs.IT]A General BER Expression of Rectangular QAM with the Presence of Phase Noise
    Thanh V. Pham, Thang V. Nguyen, Anh T. Pham
    http://arxiv.org/abs/2012.03422v1

    • [cs.IT]Age Minimization Transmission Scheduling over Time-Correlated Fading Channel under An Average Energy Constraint
    Guidan Yao, Ahmed M. Bedewy, Ness B. Shroff
    http://arxiv.org/abs/2012.02958v1

    • [cs.IT]Beam Management in 5G: A Stochastic Geometry Analysis
    Sanket S. Kalamkar, François Baccelli, Fuad M. Abinader Jr., Andrea S. Marcano Fani, Luis G. Uzeda Garcia
    http://arxiv.org/abs/2012.03181v1

    • [cs.IT]Causal Posterior Matching and its Applications
    Anusha Lalitha, Anatoly Khina, Tara Javidi
    http://arxiv.org/abs/2012.03492v1

    • [cs.IT]Covert Communication in Intelligent Reflecting Surface-Assisted NOMA Systems: Design, Analysis, and Optimization
    Lu Lv, Qingqing Wu, Zan Li, Zhiguo Ding, Naofal Al-Dhahir, Jian Chen
    http://arxiv.org/abs/2012.03244v1

    • [cs.IT]How to Deploy Intelligent Reflecting Surfaces in Wireless Network: BS-side, User-side, or Both Sides?
    Changsheng You, Beixiong Zheng, Rui Zhang
    http://arxiv.org/abs/2012.03403v1

    • [cs.IT]Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems Using Low-Resolution Signal Processing in C-RANs
    T. Cunha, R. C. de Lamare, T. N. Ferreira, L. T. N. Landau
    http://arxiv.org/abs/2012.02931v1

    • [cs.IT]Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker
    Yin Teng, Jiayu Li, Lin Liu, Guiyang Xia, Xiaobo Zhou, Feng Shu, Jiangzhou Wang, Xiaohu You
    http://arxiv.org/abs/2012.03169v1

    • [cs.IT]On matrices potentially useful for tree codes
    Pavel Pudlák
    http://arxiv.org/abs/2012.03013v1

    • [cs.IT]Optimal Caching for Low Latency in Distributed Coded Storage Systems
    Kaiyang Liu, Jun Peng, Jingrong Wang, Jianping Pan
    http://arxiv.org/abs/2012.03005v1

    • [cs.IT]Pilot-Based Unsourced Random Access with a Massive MIMO Receiver, MRC and Polar Codes
    Alexander Fengler, Peter Jung, Giuseppe Caire
    http://arxiv.org/abs/2012.03277v1

    • [cs.IT]Two-Timescale Resource Allocation for Cooperative D2D Communication: A Matching Game Approach
    Yiling Yuan, Tao Yang, Yulin Hu, Hui Feng, Bo Hu
    http://arxiv.org/abs/2012.03031v1

    • [cs.LG]A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
    Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N Balasubramanian
    http://arxiv.org/abs/2012.03801v1

    • [cs.LG]A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
    Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor
    http://arxiv.org/abs/2012.03780v1

    • [cs.LG]A Review of Designs and Applications of Echo State Networks
    Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li
    http://arxiv.org/abs/2012.02974v1

    • [cs.LG]A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
    Filipe R. Cordeiro, Gustavo Carneiro
    http://arxiv.org/abs/2012.03061v1

    • [cs.LG]A Weighted Solution to SVM Actionability and Interpretability
    Samuel Marc Denton, Ansaf Salleb-Aouissi
    http://arxiv.org/abs/2012.03372v1

    • [cs.LG]A predictive model for kidney transplant graft survival using machine learning
    Eric S. Pahl, W. Nick Street, Hans J. Johnson, Alan I. Reed
    http://arxiv.org/abs/2012.03787v1

    • [cs.LG]A three layer neural network can represent any discontinuous multivariate function
    Vugar Ismailov
    http://arxiv.org/abs/2012.03016v1

    • [cs.LG]Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
    Taehyeon Kim, Sangmin Bae, Jin-woo Lee, Seyoung Yun
    http://arxiv.org/abs/2012.03270v1

    • [cs.LG]Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
    Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun
    http://arxiv.org/abs/2012.03501v1

    • [cs.LG]Adaptive Weighted Discriminator for Training Generative Adversarial Networks
    Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye
    http://arxiv.org/abs/2012.03149v1

    • [cs.LG]Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways
    Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
    http://arxiv.org/abs/2012.03234v1

    • [cs.LG]Autoencoding Variational Autoencoder
    A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
    http://arxiv.org/abs/2012.03715v1

    • [cs.LG]Backpropagating Linearly Improves Transferability of Adversarial Examples
    Yiwen Guo, Qizhang Li, Hao Chen
    http://arxiv.org/abs/2012.03528v1

    • [cs.LG]Biclustering and Boolean Matrix Factorization in Data Streams
    Stefan Neumann, Pauli Miettinen
    http://arxiv.org/abs/2012.03138v1

    • [cs.LG]Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
    Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong
    http://arxiv.org/abs/2012.03245v1

    • [cs.LG]Computing flood probabilities using Twitter: application to the Houston urban area during Harvey
    Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Patrick Matgen, Thomas Tamisier
    http://arxiv.org/abs/2012.03731v1

    • [cs.LG]Continuum Limit of Lipschitz Learning on Graphs
    Tim Roith, Leon Bungert
    http://arxiv.org/abs/2012.03772v1

    • [cs.LG]Contrastive Divergence Learning is a Time Reversal Adversarial Game
    Omer Yair, Tomer Michaeli
    http://arxiv.org/abs/2012.03295v1

    • [cs.LG]Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
    Behrooz Tahmasebi, Stefanie Jegelka
    http://arxiv.org/abs/2012.03174v1

    • [cs.LG]Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment
    Paul Pu Liang, Peter Wu, Liu Ziyin, Louis-Philippe Morency, Ruslan Salakhutdinov
    http://arxiv.org/abs/2012.02813v1

    • [cs.LG]Deep Archimedean Copulas
    Chun Kai Ling, Fei Fang, J. Zico Kolter
    http://arxiv.org/abs/2012.03137v1

    • [cs.LG]Deep Learning Methods for Credit Card Fraud Detection
    Thanh Thi Nguyen, Hammad Tahir, Mohamed Abdelrazek, Ali Babar
    http://arxiv.org/abs/2012.03754v1

    • [cs.LG]Deep Learning for Human Mobility: a Survey on Data and Models
    Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
    http://arxiv.org/abs/2012.02825v1

    • [cs.LG]Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data
    Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel
    http://arxiv.org/abs/2012.02950v1

    • [cs.LG]Deep Neural Network Training without Multiplications
    Tsuguo Mogami
    http://arxiv.org/abs/2012.03458v1

    • [cs.LG]Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games
    Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov
    http://arxiv.org/abs/2012.03532v1

    • [cs.LG]Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
    Benjamin Maschler, Michael Weyrich
    http://arxiv.org/abs/2012.03301v1

    • [cs.LG]Different Approaches Towards Vertical Track Irregularity Prediction — A Comparative Study
    Yutao Chen, Yu Zhang, Fei Yang
    http://arxiv.org/abs/2012.03062v1

    • [cs.LG]Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks
    Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui
    http://arxiv.org/abs/2012.03158v1

    • [cs.LG]Dynamic Clustering in Federated Learning
    Yeongwoo Kim, Ezeddin Al Hakim, Johan Haraldson, Henrik Eriksson, José Mairton B. da Silva Jr., Carlo Fischione
    http://arxiv.org/abs/2012.03788v1

    • [cs.LG]Efficient Reservoir Management through Deep Reinforcement Learning
    Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe
    http://arxiv.org/abs/2012.03822v1

    • [cs.LG]Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications
    Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui
    http://arxiv.org/abs/2012.03540v1

    • [cs.LG]Exploitation of Channel-Learning for Enhancing 5G Blind Beam Index Detection
    Ji Yoon Han, Ohyun Jo, Juyeop Kim
    http://arxiv.org/abs/2012.03631v1

    • [cs.LG]FAIROD: Fairness-aware Outlier Detection
    Shubhranshu Shekhar, Neil Shah, Leman Akoglu
    http://arxiv.org/abs/2012.03063v1

    • [cs.LG]FedSemi: An Adaptive Federated Semi-Supervised Learning Framework
    Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma
    http://arxiv.org/abs/2012.03292v1

    • [cs.LG]GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
    Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong
    http://arxiv.org/abs/2012.03900v1

    • [cs.LG]Generalised Perceptron Learning
    Xiaoyu Wang, Martin Benning
    http://arxiv.org/abs/2012.03642v1

    • [cs.LG]Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval
    Chung-Wei Weng, Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes, Joerg Kliewer
    http://arxiv.org/abs/2012.03902v1

    • [cs.LG]Graph Mixture Density Networks
    Federico Errica, Davide Bacciu, Alessio Micheli
    http://arxiv.org/abs/2012.03085v1

    • [cs.LG]HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
    Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Hao Jianye, Jun Wang, Haitham Bou Ammar
    http://arxiv.org/abs/2012.03826v1

    • [cs.LG]Hierarchical Deep Recurrent Neural Network based Method for Fault Detection and Diagnosis
    Piyush Agarwal, Jorge Ivan Mireles Gonzalez, Ali Elkamel, Hector Budman
    http://arxiv.org/abs/2012.03861v1

    • [cs.LG]Improving Fairness and Privacy in Selection Problems
    Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi
    http://arxiv.org/abs/2012.03812v1

    • [cs.LG]Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics
    Andrew Hryniowski, Alexander Wong
    http://arxiv.org/abs/2012.03793v1

    • [cs.LG]LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
    Jianming Huang, Zhongxi Fang, Hiroyuki Kasai
    http://arxiv.org/abs/2012.03612v1

    • [cs.LG]Learning Graph Neural Networks with Approximate Gradient Descent
    Qunwei Li, Shaofeng Zou, Wenliang Zhong
    http://arxiv.org/abs/2012.03429v1

    • [cs.LG]Learning Interpretable Concept-Based Models with Human Feedback
    Isaac Lage, Finale Doshi-Velez
    http://arxiv.org/abs/2012.02898v1

    • [cs.LG]Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
    Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis
    http://arxiv.org/abs/2012.03133v1

    • [cs.LG]Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection
    Byunggill Joe, Jihun Hamm, Sung Ju Hwang, Sooel Son, Insik Shin
    http://arxiv.org/abs/2012.03483v1

    • [cs.LG]Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
    Matthias Blohm, Marc Hanussek, Maximilien Kintz
    http://arxiv.org/abs/2012.03575v1

    • [cs.LG]Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization
    Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell
    http://arxiv.org/abs/2012.03436v1

    • [cs.LG]MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
    Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui
    http://arxiv.org/abs/2012.03011v1

    • [cs.LG]MFST: A Python OpenFST Wrapper With Support for Custom Semirings and Jupyter Notebooks
    Matthew Francis-Landau
    http://arxiv.org/abs/2012.03437v1

    • [cs.LG]Machine learning for public policy: Do we need to sacrifice accuracy to make models fair?
    Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
    http://arxiv.org/abs/2012.02972v1

    • [cs.LG]Mapping Network States Using Connectivity Queries
    Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles Nicholson, Anil Vullikanti, B. Aditya Prakash
    http://arxiv.org/abs/2012.03413v1

    • [cs.LG]Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation
    Lipeng Wan, Xuwei Song, Xuguang Lan, Nanning Zheng
    http://arxiv.org/abs/2012.03488v1

    • [cs.LG]Multi-target normal behaviour models for wind farm condition monitoring
    Angela Meyer
    http://arxiv.org/abs/2012.03074v1

    • [cs.LG]NCGNN: Node-level Capsule Graph Neural Network
    Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
    http://arxiv.org/abs/2012.03476v1

    • [cs.LG]Neural Online Graph Exploration
    Ioannis Chiotellis, Daniel Cremers
    http://arxiv.org/abs/2012.03345v1

    • [cs.LG]One-bit feedback is sufficient for upper confidence bound policies
    Daniel Vial, Sanjay Shakkottai, R. Srikant
    http://arxiv.org/abs/2012.02876v1

    • [cs.LG]PAC-Learning for Strategic Classification
    Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao
    http://arxiv.org/abs/2012.03310v1

    • [cs.LG]Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression
    Cody Blakeney, Xiaomin Li, Yan Yan, Ziliang Zong
    http://arxiv.org/abs/2012.03096v1

    • [cs.LG]Parallel Training of Deep Networks with Local Updates
    Michael Laskin, Luke Metz, Seth Nabarrao, Mark Saroufim, Badreddine Noune, Carlo Luschi, Jascha Sohl-Dickstein, Pieter Abbeel
    http://arxiv.org/abs/2012.03837v1

    • [cs.LG]Perfect density models cannot guarantee anomaly detection
    Charline Le Lan, Laurent Dinh
    http://arxiv.org/abs/2012.03808v1

    • [cs.LG]Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information
    Peng Xiao, Samuel Cheng
    http://arxiv.org/abs/2012.03178v1

    • [cs.LG]Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space
    Janis Postels, Hermann Blum, Cesar Cadena, Roland Siegwart, Luc Van Gool, Federico Tombari
    http://arxiv.org/abs/2012.03082v1

    • [cs.LG]Randomized kernels for large scale Earth observation applications
    Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls
    http://arxiv.org/abs/2012.03630v1

    • [cs.LG]Recent Developments in Boolean Matrix Factorization
    Pauli Miettinen, Stefan Neumann
    http://arxiv.org/abs/2012.03127v1

    • [cs.LG]Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion
    Roberto Reyes-Ochoa, Servando Lopez-Aguayo
    http://arxiv.org/abs/2012.03188v1

    • [cs.LG]Reprogramming Language Models for Molecular Representation Learning
    Ria Vinod, Pin-Yu Chen, Payel Das
    http://arxiv.org/abs/2012.03460v1

    • [cs.LG]Reset-Free Lifelong Learning with Skill-Space Planning
    Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
    http://arxiv.org/abs/2012.03548v1

    • [cs.LG]Revenue Maximization and Learning in Products Ranking
    Ningyuan Chen, Anran Li, Shuoguang Yang
    http://arxiv.org/abs/2012.03800v1

    • [cs.LG]Risk-based Adaptive Deep Learning for Entity Resolution
    Qun Chen, Zhaoqiang Chen, Youcef Nafa, Tianyi Duan, Zhanhuai Li
    http://arxiv.org/abs/2012.03513v1

    • [cs.LG]Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
    Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
    http://arxiv.org/abs/2012.03173v1

    • [cs.LG]Sample-efficient proper PAC learning with approximate differential privacy
    Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi
    http://arxiv.org/abs/2012.03893v1

    • [cs.LG]Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games
    Chaitanya Thammineni, Hemanth Manjunatha, Ehsan T. Esfahani
    http://arxiv.org/abs/2012.03145v1

    • [cs.LG]Semi-supervised Soil Moisture Prediction through Graph Neural Networks
    Anoushka Vyas, Sambaran Bandyopadhyay
    http://arxiv.org/abs/2012.03506v1

    • [cs.LG]Sobolev Wasserstein GAN
    Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu
    http://arxiv.org/abs/2012.03420v1

    • [cs.LG]Space-Filling Subset Selection for an Electric Battery Model
    Philipp Gesner, Christian Gletter, Florian Landenberger, Frank Kirschbaum, Lutz Morawietz, Bernard Bäker
    http://arxiv.org/abs/2012.03541v1

    • [cs.LG]Stronger Calibration Lower Bounds via Sidestepping
    Mingda Qiao, Gregory Valiant
    http://arxiv.org/abs/2012.03454v1

    • [cs.LG]SuperCoder: Program Learning Under Noisy Conditions From Superposition of States
    Ali Davody, Mahmoud Safari, Răzvan V. Florian
    http://arxiv.org/abs/2012.03925v1

    • [cs.LG]The Neural Coding Framework for Learning Generative Models
    Alexander Ororbia, Daniel Kifer
    http://arxiv.org/abs/2012.03405v1

    • [cs.LG]TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
    Jin-woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee
    http://arxiv.org/abs/2012.03214v1

    • [cs.LG]Understanding Interpretability by generalized distillation in Supervised Classification
    Adit Agarwal, Dr. K. K. Shukla, Arjan Kuijper, Anirban Mukhopadhyay
    http://arxiv.org/abs/2012.03089v1

    • [cs.LG]Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
    Zhonghua Zheng, Joseph Ching, Jeffrey H. Curtis, Yu Yao, Peng Xu, Matthew West, Nicole Riemer
    http://arxiv.org/abs/2012.03365v1

    • [cs.LG]VC Dimension and Distribution-Free Sample-Based Testing
    Eric Blais, Renato Ferreira Pinto Jr., Nathaniel Harms
    http://arxiv.org/abs/2012.03923v1

    • [cs.LG]Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems
    Ryan Lopez, Paul J. Atzberger
    http://arxiv.org/abs/2012.03448v1

    • [cs.LG]Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning
    Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon, Mehdi Bennis, Walid Saad
    http://arxiv.org/abs/2012.03414v1

    • [cs.LG]Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
    Pooneh Safayenikoo, Ismail Akturk
    http://arxiv.org/abs/2012.02792v1

    • [cs.LG]When Do Curricula Work?
    Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur
    http://arxiv.org/abs/2012.03107v1

    • [cs.LG]Why Unsupervised Deep Networks Generalize
    Anita de Mello Koch, Ellen de Mello Koch, Robert de Mello Koch
    http://arxiv.org/abs/2012.03531v1

    • [cs.MM]DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
    Francesco Picetti, Sara Mandelli, Paolo Bestagini, Vincenzo Lipari, Stefano Tubaro
    http://arxiv.org/abs/2012.03581v1

    • [cs.NE]A multi-agent evolutionary robotics framework to train spiking neural networks
    Souvik Das, Anirudh Shankar, Vaneet Aggarwal
    http://arxiv.org/abs/2012.03485v1

    • [cs.NE]Evaluating adversarial robustness in simulated cerebellum
    Liu Yuezhang, Bo Li, Qifeng Chen
    http://arxiv.org/abs/2012.02976v1

    • [cs.NE]Multivariate Density Estimation with Deep Neural Mixture Models
    Edmondo Trentin
    http://arxiv.org/abs/2012.03391v1

    • [cs.NE]Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
    Gi-Hwan Shin, Young-Seok Kweon, Minji Lee
    http://arxiv.org/abs/2012.03510v1

    • [cs.NI]CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
    Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang
    http://arxiv.org/abs/2012.03257v1

    • [cs.RO]A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)
    Qian Luo, Jing Wu, Matthew Gombolay
    http://arxiv.org/abs/2012.03898v1

    • [cs.RO]A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation
    Jason R. Wilson, Leilani Gilpin, Irina Rabkina
    http://arxiv.org/abs/2012.02904v1

    • [cs.RO]Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method
    Mihir Dharmadhikari, Tung Dang, Kostas Alexis
    http://arxiv.org/abs/2012.03228v1

    • [cs.RO]Conditional Generative Adversarial Networks for Optimal Path Planning
    Nachuan Ma, Jiankun Wang, Max Q. -H. Meng
    http://arxiv.org/abs/2012.03166v1

    • [cs.RO]Depth estimation on embedded computers for robot swarms in forest
    Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner
    http://arxiv.org/abs/2012.02907v1

    • [cs.RO]Design and Implementation of Path Trackers for Ackermann Drive based Vehicles
    Adarsh Patnaik, Manthan Patel, Vibhakar Mohta, Het Shah, Shubh Agrawal, Aditya Rathore, Ritwik Malik, Debashish Chakravarty, Ranjan Bhattacharya
    http://arxiv.org/abs/2012.02978v1

    • [cs.RO]Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping
    Linhan Yang, Xudong Han, Weijie Guo, Zixin Zhang, Fang Wan, Jia Pan, Chaoyang Song
    http://arxiv.org/abs/2012.03168v1

    • [cs.RO]Efficient Heuristic Generation for Robot Path Planning with Recurrent Generative Model
    Zhaoting Li, Jiankun Wang, Max Q. -H. Meng
    http://arxiv.org/abs/2012.03449v1

    • [cs.RO]Efficient Volumetric Mapping Using Depth Completion With Uncertainty for Robotic Navigation
    Marija Popovic, Florian Thomas, Sotiris Papatheodorou, Nils Funk, Teresa Vidal-Calleja, Stefan Leutenegger
    http://arxiv.org/abs/2012.03023v1

    • [cs.RO]Enhanced Consumer Feedback Enabler System for Advertisement Boards using Auto Panning Camera
    Aditya Ajit Khadilkar, Godwyn James William, Hemprasad Yashwant Patil
    http://arxiv.org/abs/2012.03562v1

    • [cs.RO]Exploiting Implicit Kinematic Kernel for Controlling a Wearable Robotic Extra-finger
    Tommaso Lisini Baldi, Nicole D’Aurizio, Chiara Gaudeni, Sergio Gurgone, Daniele Borzelli, Andrea D’Avella, Domenico Prattichizzo
    http://arxiv.org/abs/2012.03600v1

    • [cs.RO]Generative Adversarial Network based Heuristics for Sampling-based Path Planning
    Tianyi Zhang, Jiankun Wang, Max Q. -H. Meng
    http://arxiv.org/abs/2012.03490v1

    • [cs.RO]Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs
    Jiunn-Kai Huang, Chenxi Feng, Madhav Achar, Maani Ghaffari, Jessy W. Grizzle
    http://arxiv.org/abs/2012.03321v1

    • [cs.RO]Improving Makespan in Dynamic Task Allocation for Cloud Robotic Systems with Time Window Constraints
    Saeid Alirezazadeh, Luís A. Alexandre
    http://arxiv.org/abs/2012.03555v1

    • [cs.RO]Learning Tactile Models for Factor Graph-based State Estimation
    Paloma Sodhi, Michael Kaess, Mustafa Mukadam, Stuart Anderson
    http://arxiv.org/abs/2012.03768v1

    • [cs.RO]Learning from Experience for Rapid Generation of Local Car Maneuvers
    Piotr Kicki, Tomasz Gawron, Krzysztof Ćwian, Mete Ozay, Piotr Skrzypczyński
    http://arxiv.org/abs/2012.03707v1

    • [cs.RO]Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
    Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
    http://arxiv.org/abs/2012.03385v1

    • [cs.RO]Obstacle avoidance and path finding for mobile robot navigation
    Poojith Kotikalapudi, Vinayak Elangovan
    http://arxiv.org/abs/2012.03105v1

    • [cs.RO]On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions
    Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J. Christian Gerdes, Marco Pavone
    http://arxiv.org/abs/2012.03390v1

    • [cs.RO]Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop
    Sebastian Höfer, Kostas Bekris, Ankur Handa, Juan Camilo Gamboa, Florian Golemo, Melissa Mozifian, Chris Atkeson, Dieter Fox, Ken Goldberg, John Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
    http://arxiv.org/abs/2012.03806v1

    • [cs.RO]RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control
    Siddhant Gangapurwala, Mathieu Geisert, Romeo Orsolino, Maurice Fallon, Ioannis Havoutis
    http://arxiv.org/abs/2012.03094v1

    • [cs.RO]TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint
    Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian Scherer
    http://arxiv.org/abs/2012.03455v1

    • [cs.SD]A CSMT challenge dataset for the identification of computer generated melodies
    Shengchen Li, Yinji Jing, Georgy Fazekas
    http://arxiv.org/abs/2012.03646v1

    • [cs.SD]Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization
    Ruibin Yuan, Ge Zhang, Anqiao Yang, Xinyue Zhang
    http://arxiv.org/abs/2012.03805v1

    • [cs.SD]Guitar Effects Recognition and Parameter Estimation with Convolutional Neural Networks
    Marco Comunità, Dan Stowell, Joshua D. Reiss
    http://arxiv.org/abs/2012.03216v1

    • [cs.SD]Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements
    Kun Su, Xiulong Liu, Eli Shlizerman
    http://arxiv.org/abs/2012.03478v1

    • [cs.SD]Reverberant Sound Localization with a Robot Head Based on Direct-Path Relative Transfer Function
    Xiaofei Li, Laurent Girin, Fabien Badeig, Radu Horaud
    http://arxiv.org/abs/2012.03574v1

    • [cs.SD]Source Separation and Depthwise Separable Convolutions for Computer Audition
    Gabriel Mersy, Jin Hong Kuan
    http://arxiv.org/abs/2012.03359v1

    • [cs.SI]A Theory for Backtrack-Downweighted Walks
    Francesca Arrigo, Desmond J. Higham, Vanni Noferini
    http://arxiv.org/abs/2012.02999v1

    • [cs.SI]Branching Process with Attack: Viral Competing Markets
    Khushboo Agarwal, Veeraruna Kavitha
    http://arxiv.org/abs/2012.03033v1

    • [cs.SI]Investigating the effects of Goodreads challenges on individuals reading habits
    Yasaman Jafari, Nazanin Sabri, Behnam Bahrak
    http://arxiv.org/abs/2012.03932v1

    • [cs.SI]Maximizing Social Welfare in a Competitive Diffusion Model
    Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan
    http://arxiv.org/abs/2012.03354v1

    • [cs.SI]Maximizing the Influence: Analytic Activation Probability Computation Approach
    Maryam Adineh, Mostafa Nouri-Baygi
    http://arxiv.org/abs/2012.02837v1

    • [cs.SI]Mixed-SCORE+ for mixed membership community detection
    Huan Qing, Jingli Wang
    http://arxiv.org/abs/2012.03725v1

    • [cs.SI]Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation
    Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Dias, Wagner Meira Jr., Bruno Ribeiro
    http://arxiv.org/abs/2012.03879v1

    • [cs.SI]Social System Inference from Noisy Observations
    Yanbing Mao, Naira Hovakimyan, Tarek Abdelzaher, Evangelos Theodorou
    http://arxiv.org/abs/2012.03075v1

    • [cs.SI]Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter
    Jolin Shaynn-Ly Kwan, Kwan Hui Lim
    http://arxiv.org/abs/2012.03039v1

    • [cs.SI]Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks
    Jerome Heng, Junhua Liu, Kwan Hui Lim
    http://arxiv.org/abs/2012.03057v1

    • [cs.SI]Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis
    Marcus Yong, Kwan Hui Lim
    http://arxiv.org/abs/2012.03049v1

    • [econ.GN]Assessing the effects of seasonal tariff-rate quotas on vegetable prices in Switzerland
    Daria Loginova, Marco Portmann, Martin Huber
    http://arxiv.org/abs/2012.02966v1

    • [eess.AS]MLS: A Large-Scale Multilingual Dataset for Speech Research
    Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert
    http://arxiv.org/abs/2012.03411v1

    • [eess.IV]An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
    Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
    http://arxiv.org/abs/2012.03352v1

    • [eess.IV]Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
    Matthieu Martin, Bruno Sciolla, Michael Sdika, Philippe Quetin, Philippe Delachartre
    http://arxiv.org/abs/2012.03014v1

    • [eess.IV]Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
    Yifan Li, Chao Li, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen
    http://arxiv.org/abs/2012.03115v1

    • [eess.IV]Development and Characterization of a Chest CT Atlas
    Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
    http://arxiv.org/abs/2012.03124v1

    • [eess.IV]Efficient Kernel based Matched Filter Approach for Segmentation of Retinal Blood Vessels
    Sushil Kumar Saroj, Vikas Ratna, Rakesh Kumar, Nagendra Pratap Singh
    http://arxiv.org/abs/2012.03601v1

    • [eess.IV]Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network
    Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Frank J. W. M. Dankers, Marius Staring
    http://arxiv.org/abs/2012.03242v1

    • [eess.IV]Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes
    Luca Pipia, Jordi Muñoz-Marí, Eatidal Amin, Santiago Belda, Gustau Camps-Valls, Jochem Verrelst
    http://arxiv.org/abs/2012.02998v1

    • [eess.IV]Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data
    Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar
    http://arxiv.org/abs/2012.03255v1

    • [eess.IV]Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture
    Kanggeun Lee, Won-Ki Jeong
    http://arxiv.org/abs/2012.03623v1

    • [eess.IV]Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
    Chang Liu, Yixing Huang, Joscha Maier, Laura Klein, Marc Kachelrieß, Andreas Maier
    http://arxiv.org/abs/2012.03579v1

    • [eess.IV]Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
    Olivier Dehaene, Axel Camara, Olivier Moindrot, Axel de Lavergne, Pierre Courtiol
    http://arxiv.org/abs/2012.03583v1

    • [eess.IV]The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
    Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv
    http://arxiv.org/abs/2012.03827v1

    • [eess.IV]Using Machine Learning to Automate Mammogram Images Analysis
    Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang
    http://arxiv.org/abs/2012.03151v1

    • [eess.SP]A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network
    Fuxin Jiang, Chengyuan Zhang, Shaolong Sun, Jingyun Sun
    http://arxiv.org/abs/2012.03781v1

    • [eess.SP]Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems
    Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao
    http://arxiv.org/abs/2012.03426v1

    • [eess.SP]ECG Signal Super-resolution by Considering Reconstruction and Cardiac Arrhythmias Classification Loss
    Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng, Jhih-Yu Chen, Chih-Han Huang, Guo-Yuan Li, Chun-Yen Shen, Yu Tsao
    http://arxiv.org/abs/2012.03803v1

    • [eess.SP]Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks
    Wanli Ni, Xiao Liu, Yuanwei Liu, Hui Tian, Yue Chen
    http://arxiv.org/abs/2012.03611v1

    • [eess.SP]Low-Latency Asynchronous Logic Design for Inference at the Edge
    Adrian Wheeldon, Alex Yakovlev, Rishad Shafik, Jordan Morris
    http://arxiv.org/abs/2012.03402v1

    • [eess.SP]Spatio-Temporal Graph Scattering Transform
    Chao Pan, Siheng Chen, Antonio Ortega
    http://arxiv.org/abs/2012.03363v1

    • [math.FA]The universal approximation theorem for complex-valued neural networks
    Felix Voigtlaender
    http://arxiv.org/abs/2012.03351v1

    • [math.MG]A Note on John Simplex with Positive Dilation
    Zhou Lu
    http://arxiv.org/abs/2012.03427v1

    • [math.NA]Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors
    Xianpeng Mao, Yuning Yang
    http://arxiv.org/abs/2012.03092v1

    • [math.NA]Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning
    Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang
    http://arxiv.org/abs/2012.03238v1

    • [math.OC]A Distributed and Secure Algorithm for Computing Dominant SVD Based on Projection Splitting
    Lei Wang, Xin Liu, Yin Zhang
    http://arxiv.org/abs/2012.03461v1

    • [math.OC]Acceleration in Hyperbolic and Spherical Spaces
    David Martínez-Rubio
    http://arxiv.org/abs/2012.03618v1

    • [math.OC]Adaptive Sequential SAA for Solving Two-stage Stochastic Linear Programs
    Raghu Pasupathy, Yongjia Song
    http://arxiv.org/abs/2012.03761v1

    • [math.OC]Convergence of block coordinate descent with diminishing radius for nonconvex optimization
    Hanbaek Lyu
    http://arxiv.org/abs/2012.03503v1

    • [math.OC]Mixed robustness: Analysis of systems with uncertain deterministic and random parameters using the example of linear systems
    Andrey Tremba
    http://arxiv.org/abs/2012.03120v1

    • [math.PR]Uniform Central Limit Theorem for self normalized sums in high dimensions
    Debraj Das
    http://arxiv.org/abs/2012.03758v1

    • [math.ST]A Lecture About the Use of Orlicz Spaces in Information Geometry
    Giovanni Pistone
    http://arxiv.org/abs/2012.03376v1

    • [math.ST]Algebraic geometry of discrete interventional models
    Eliana Duarte, Liam Solus
    http://arxiv.org/abs/2012.03593v1

    • [math.ST]Asymptotic Analysis of Multilevel Best Linear Unbiased Estimators
    Daniel Schaden, Elisabeth Ullmann
    http://arxiv.org/abs/2012.03658v1

    • [math.ST]Independent Elliptical Distributions Minimize Their $\mathcal{W}_2$ Wasserstein Distance from Independent Elliptical Distributions with the Same Density Generator
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2012.03809v1

    • [math.ST]Likelihood Geometry of Correlation Models
    Carlos Améndola, Piotr Zwiernik
    http://arxiv.org/abs/2012.03903v1

    • [math.ST]MCMC Confidence Intervals and Biases
    Yu Hang Jiang, Tong Liu, Zhiya Lou, Jeffrey S. Rosenthal, Shanshan Shangguan, Fei Wang, Zixuan Wu
    http://arxiv.org/abs/2012.02816v1

    • [math.ST]Near-Optimal Model Discrimination with Non-Disclosure
    Dmitrii M. Ostrovskii, Mohamed Ndaoud, Adel Javanmard, Meisam Razaviyayn
    http://arxiv.org/abs/2012.02901v1

    • [math.ST]Selecting the number of components in PCA via random signflips
    David Hong, Yue Sheng, Edgar Dobriban
    http://arxiv.org/abs/2012.02985v1

    • [physics.ao-ph]Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality
    Miguel Morata-Dolz, Diego Bueso, Maria Piles, Gustau Camps-Valls
    http://arxiv.org/abs/2012.03338v1

    • [physics.comp-ph]Multitask machine learning of collective variables for enhanced sampling of rare events
    Lixin Sun, Jonathan Vandermause, Simon Batzner, Yu Xie, David Clark, Wei Chen, Boris Kozinsky
    http://arxiv.org/abs/2012.03909v1

    • [physics.geo-ph]Bidirectional recurrent neural networks for seismic event detection
    Claire Birnie, Fredrik Hansteen
    http://arxiv.org/abs/2012.03009v1

    • [q-bio.BM]Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
    Modestas Filipavicius, Matteo Manica, Joris Cadow, Maria Rodriguez Martinez
    http://arxiv.org/abs/2012.03084v1

    • [q-bio.QM]Align-gram : Rethinking the Skip-gram Model for Protein Sequence Analysis
    Nabil Ibtehaz, S. M. Shakhawat Hossain Sourav, Md. Shamsuzzoha Bayzid, M. Sohel Rahman
    http://arxiv.org/abs/2012.03324v1

    • [q-bio.QM]Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction
    Ziqi Chen, Renqiang Martin Min, Xia Ning
    http://arxiv.org/abs/2012.02840v1

    • [quant-ph]Deep neural network predicts parameters of quantum many-body Hamiltonians by learning visualized wave-functions
    Xinran Ma, Z. C. Tu, Shi-Ju Ran
    http://arxiv.org/abs/2012.03019v1

    • [quant-ph]Foundations for Near-Term Quantum Natural Language Processing
    Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi
    http://arxiv.org/abs/2012.03755v1

    • [quant-ph]Grammar-Aware Question-Answering on Quantum Computers
    Konstantinos Meichanetzidis, Alexis Toumi, Giovanni de Felice, Bob Coecke
    http://arxiv.org/abs/2012.03756v1

    • [quant-ph]Machine learning pipeline for quantum state estimation with incomplete measurements
    Onur Danaci, Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser
    http://arxiv.org/abs/2012.03104v1

    • [quant-ph]Quantum Dynamics of Optimization Problems
    Peng Wang, Gang Xin, Yuwei Jiao
    http://arxiv.org/abs/2012.03312v1

    • [stat.AP]A Bayesian approach to deconvolution in well test analysis
    Themistoklis Botsas, Jonathan A. Cumming, Ian H. Jermyn
    http://arxiv.org/abs/2012.03217v1

    • [stat.AP]Bayesian Modeling of Spatial Molecular Profiling Data via Gaussian Process
    Qiwei Li, Minzhe Zhang, Yang Xie, Guanghua Xiao
    http://arxiv.org/abs/2012.03326v1

    • [stat.AP]Modeling animal movement with directional persistence and attractive points
    Gianluca Mastrantonio
    http://arxiv.org/abs/2012.03248v1

    • [stat.AP]Network Group Testing
    Paolo Bertolotti, Ali Jadbabaie
    http://arxiv.org/abs/2012.02847v1

    • [stat.ME]A U-statistic-based test of treatment effect heterogeneity
    Maozhu Dai, Hal S. Stern
    http://arxiv.org/abs/2012.03432v1

    • [stat.ME]A modified maximum contrast method for unequal sample sizes in pharmacogenomic studies
    Kengo Nagashima, Yasunori Sato, Chikuma Hamada
    http://arxiv.org/abs/2012.03475v1

    • [stat.ME]Bayesian model for early dose-finding in phase I trials with multiple treatment courses
    Moreno Ursino, Lucie Biard, Sylvie Chevret
    http://arxiv.org/abs/2012.03700v1

    • [stat.ME]Better Experimental Design by Hybridizing Binary Matching with Imbalance Optimization
    Abba M. Krieger, David Azriel, Adam Kapelner
    http://arxiv.org/abs/2012.03330v1

    • [stat.ME]Connecting Instrumental Variable methods for causal inference to the Estimand Framework
    Jack Bowden, Bjoern Bornkamp, Ekkehard Glimm, Frank Bretz
    http://arxiv.org/abs/2012.03786v1

    • [stat.ME]Consistent and robust inference in hazard probability and odds models with discrete-time survival data
    Zhiqiang Tan
    http://arxiv.org/abs/2012.03451v1

    • [stat.ME]Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring
    Hunyong Cho, Shannon T. Holloway, Michael R. Kosorok
    http://arxiv.org/abs/2012.03294v1

    • [stat.ME]Robustness on Networks
    Marios Papamichalis, Simon Lunagomez, Patrick J. Wolfe
    http://arxiv.org/abs/2012.02914v1

    • [stat.ME]Sample size calculations for single-arm survival studies using transformations of the Kaplan-Meier estimator
    Kengo Nagashima, Hisashi Noma, Yasunori Sato, Masahiko Gosho
    http://arxiv.org/abs/2012.03355v1

    • [stat.ME]Selective Inference for Hierarchical Clustering
    Lucy L. Gao, Jacob Bien, Daniela Witten
    http://arxiv.org/abs/2012.02936v1

    • [stat.ML]Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
    Taiji Suzuki, Shunta Akiyama
    http://arxiv.org/abs/2012.03224v1

    • [stat.ML]DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization
    Yaniv Shulman
    http://arxiv.org/abs/2012.03653v1

    • [stat.ML]Estimating Vector Fields from Noisy Time Series
    Harish S. Bhat, Majerle Reeves, Ramin Raziperchikolaei
    http://arxiv.org/abs/2012.03199v1

    • [stat.ML]Explainable Artificial Intelligence: How Subsets of the Training Data Affect a Prediction
    Andreas Brandsæter, Ingrid K. Glad
    http://arxiv.org/abs/2012.03625v1

    • [stat.ML]Joint Optimization of an Autoencoder for Clustering and Embedding
    Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
    http://arxiv.org/abs/2012.03740v1

    • [stat.ML]Learning summary features of time series for likelihood free inference
    Pedro L. C. Rodrigues, Alexandre Gramfort
    http://arxiv.org/abs/2012.02807v1

    • [stat.ML]Nonnegative Matrix Factorization with Toeplitz Penalty
    Matthew Corsetti, Ernest Fokoué
    http://arxiv.org/abs/2012.03694v1

    • [stat.ML]Nonnegative Matrix Factorization with Zellner Penalty
    Matthew Corsetti, Ernest Fokoué
    http://arxiv.org/abs/2012.03889v1

    • [stat.ML]Online Model Selection: a Rested Bandit Formulation
    Leonardo Cella, Claudio Gentile, Massimiliano Pontil
    http://arxiv.org/abs/2012.03522v1

    • [stat.ML]Passive Approach for the K-means Problem on Streaming Data
    Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
    http://arxiv.org/abs/2012.03628v1

    • [stat.ML]Rejoinder: New Objectives for Policy Learning
    Nathan Kallus
    http://arxiv.org/abs/2012.03130v1

    • [stat.ML]Stochastic Gradient Descent with Large Learning Rate
    Kangqiao Liu, Liu Ziyin, Masahito Ueda
    http://arxiv.org/abs/2012.03636v1

    • [stat.ML]Teaching reproducible research for medical students and postgraduate pharmaceutical scientists
    Andreas D. Meid
    http://arxiv.org/abs/2012.03554v1