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