astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能

    cs.CL - 计算与语言

    cs.CR - 加密与安全

    cs.CV - 机器视觉与模式识别

    cs.CY - 计算与社会

    cs.DB - 数据库

    cs.DC - 分布式、并行与集群计算

    cs.DL - 数字图书馆

    cs.GR - 计算机图形学

    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.SE - 软件工程

    cs.SI - 社交网络与信息网络

    econ.EM - 计量经济学

    eess.AS - 语音处理

    eess.IV - 图像与视频处理

    eess.SP - 信号处理

    hep-ph - 高能物理现象学

    math.FA - 泛函演算

    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

    q-bio.GN - 基因组学

    q-bio.NC - 神经元与认知

    q-fin.MF - 数学金融

    stat.AP - 应用统计

    stat.CO - 统计计算

    stat.ME - 统计方法论

    stat.ML - (统计)机器学习

    stat.OT - 其他统计学

    • [astro-ph.IM]Novel bivariate autoregressive model for predicting and forecasting irregularly observed time series

    • [cs.AI]Algebraic answer set programming

    • [cs.AI]An Algorithm to Effect Prompt Termination of Myopic Local Search on Kauffman-s NK Landscape

    • [cs.AI]Causal Learning for Socially Responsible AI

    • [cs.AI]Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities

    • [cs.AI]Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

    • [cs.AI]Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs

    • [cs.AI]Fast Falsification of Neural Networks using Property Directed Testing

    • [cs.AI]Improving the filtering of Branch-And-Bound MDD solver (extended)

    • [cs.AI]Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

    • [cs.AI]Relational Argumentation Semantics

    • [cs.AI]Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients

    • [cs.AI]Towards Visual Semantics

    • [cs.AI]TrustyAI Explainability Toolkit

    • [cs.CL]A Bi-Encoder LSTM Model For Learning Unstructured Dialogs

    • [cs.CL]A Sliding-Window Approach to Automatic Creation of Meeting Minutes

    • [cs.CL]A dissemination workshop for introducing young Italian students to NLP

    • [cs.CL]Attention vs non-attention for a Shapley-based explanation method

    • [cs.CL]Auto Response Generation in Online Medical Chat Services

    • [cs.CL]Automatic Post-Editing for Translating Chinese Novels to Vietnamese

    • [cs.CL]Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection

    • [cs.CL]DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension

    • [cs.CL]Easy and Efficient Transformer : Scalable Inference Solution For large NLP mode

    • [cs.CL]Evaluating the Values of Sources in Transfer Learning

    • [cs.CL]Explore BiLSTM-CRF-Based Models for Open Relation Extraction

    • [cs.CL]Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums

    • [cs.CL]Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation

    • [cs.CL]Focused Attention Improves Document-Grounded Generation

    • [cs.CL]GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval

    • [cs.CL]Identifying Offensive Expressions of Opinion in Context

    • [cs.CL]Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System

    • [cs.CL]Modeling Coverage for Non-Autoregressive Neural Machine Translation

    • [cs.CL]Non-Parametric Few-Shot Learning for Word Sense Disambiguation

    • [cs.CL]On a Utilitarian Approach to Privacy Preserving Text Generation

    • [cs.CL]Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing

    • [cs.CL]PanGu-今日学术视野(2021.4.28) - 图1: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

    • [cs.CL]Reranking Machine Translation Hypotheses with Structured and Web-based Language Models

    • [cs.CL]Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students

    • [cs.CL]Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages

    • [cs.CL]Transformers to Fight the COVID-19 Infodemic

    • [cs.CL]Vietnamese Open-domain Complaint Detection in E-Commerce Websites

    • [cs.CL]What Makes a Message Persuasive? Identifying Adaptations Towards Persuasiveness in Nine Exploratory Case Studies

    • [cs.CL]XLM-T: A Multilingual Language Model Toolkit for Twitter

    • [cs.CR]Two-Server Verifiable Homomorphic Secret Sharing for High-Degree Polynomials

    • [cs.CV]2.5D Visual Relationship Detection

    • [cs.CV]3D Adversarial Attacks Beyond Point Cloud

    • [cs.CV]3D Scene Compression through Entropy Penalized Neural Representation Functions

    • [cs.CV]3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head

    • [cs.CV]3D/2D regularized CNN feature hierarchy for Hyperspectral image classification

    • [cs.CV]A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation

    • [cs.CV]A Survey of Modern Deep Learning based Object Detection Models

    • [cs.CV]A novel segmentation dataset for signatures on bank checks

    • [cs.CV]ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification

    • [cs.CV]Adaptive Appearance Rendering

    • [cs.CV]Anomaly Detection for Solder Joints Using 今日学术视野(2021.4.28) - 图2-VAE

    • [cs.CV]Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

    • [cs.CV]Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations

    • [cs.CV]CAGAN: Text-To-Image Generation with Combined Attention GANs

    • [cs.CV]Calibrating LiDAR and Camera using Semantic Mutual information

    • [cs.CV]Carrying out CNN Channel Pruning in a White Box

    • [cs.CV]Class Equilibrium using Coulomb’s Law

    • [cs.CV]CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment

    • [cs.CV]Computer vision in automated parking systems: Design, implementation and challenges

    • [cs.CV]Contextualized Keyword Representations for Multi-modal Retinal Image Captioning

    • [cs.CV]Delving into Data: Effectively Substitute Training for Black-box Attack

    • [cs.CV]Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization

    • [cs.CV]Detecting and Matching Related Objects with One Proposal Multiple Predictions

    • [cs.CV]Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

    • [cs.CV]Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics

    • [cs.CV]Dynamic Degradation for Image Restoration and Fusion

    • [cs.CV]Dynamic VAEs with Generative Replay for Continual Zero-shot Learning

    • [cs.CV]ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy

    • [cs.CV]EigenGAN: Layer-Wise Eigen-Learning for GANs

    • [cs.CV]Ensembles of GANs for synthetic training data generation

    • [cs.CV]Exploiting Explanations for Model Inversion Attacks

    • [cs.CV]GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization

    • [cs.CV]Generative modeling of spatio-temporal weather patterns with extreme event conditioning

    • [cs.CV]Green View Index Analysis and Optimal Green View Index Path Based on Street View and Deep Learning

    • [cs.CV]HAO: Hardware-aware neural Architecture Optimization for Efficient Inference

    • [cs.CV]Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty

    • [cs.CV]Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps

    • [cs.CV]Improve Vision Transformers Training by Suppressing Over-smoothing

    • [cs.CV]InfographicVQA

    • [cs.CV]Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks

    • [cs.CV]Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data

    • [cs.CV]Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks

    • [cs.CV]Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos

    • [cs.CV]M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

    • [cs.CV]MDETR — Modulated Detection for End-to-End Multi-Modal Understanding

    • [cs.CV]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

    • [cs.CV]Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors

    • [cs.CV]Model Guided Road Intersection Classification

    • [cs.CV]Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos

    • [cs.CV]Mutual Contrastive Learning for Visual Representation Learning

    • [cs.CV]ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects

    • [cs.CV]Oriented Bounding Boxes for Small and Freely Rotated Objects

    • [cs.CV]Parallel Scale-wise Attention Network for Effective Scene Text Recognition

    • [cs.CV]Parallel mesh reconstruction streams for pose estimation of interacting hands

    • [cs.CV]PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches

    • [cs.CV]Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation

    • [cs.CV]Playing Lottery Tickets with Vision and Language

    • [cs.CV]Practical Wide-Angle Portraits Correction with Deep Structured Models

    • [cs.CV]Quantization of Deep Neural Networks for Accurate EdgeComputing

    • [cs.CV]RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory

    • [cs.CV]Rich Semantics Improve Few-shot Learning

    • [cs.CV]Single Stage Class Agnostic Common Object Detection: A Simple Baseline

    • [cs.CV]Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image

    • [cs.CV]Spherical formulation of geometric motion segmentation constraints in fisheye cameras

    • [cs.CV]StegaPos: Preventing Crops and Splices with Imperceptible Positional Encodings

    • [cs.CV]Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture

    • [cs.CV]Temp-Frustum Net: 3D Object Detection with Temporal Fusion

    • [cs.CV]The 5th AI City Challenge

    • [cs.CV]Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets

    • [cs.CV]Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

    • [cs.CV]UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments

    • [cs.CV]Unsupervised Learning of Multi-level Structures for Anomaly Detection

    • [cs.CV]VCGAN: Video Colorization with Hybrid Generative Adversarial Network

    • [cs.CV]Variational Pedestrian Detection

    • [cs.CV]Vector Neurons: A General Framework for SO(3)-Equivariant Networks

    • [cs.CV]Visformer: The Vision-friendly Transformer

    • [cs.CV]Visual Saliency Transformer

    • [cs.CV]Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps

    • [cs.CY]Becoming Good at AI for Good

    • [cs.CY]Computational Group Selection

    • [cs.CY]Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data

    • [cs.CY]We Haven’t Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI

    • [cs.CY]What About the Precedent: An Information-Theoretic Analysis of Common Law

    • [cs.DB]Towards Knowledge Graphs Validation through Weighted Knowledge Sources

    • [cs.DC]A PGAS Communication Library for Heterogeneous Clusters

    • [cs.DC]A Subquadratic-Time Distributed Algorithm for Exact Maximum Matching

    • [cs.DC]Microservice Dynamic Architecture-Level Deployment Orchestration

    • [cs.DC]On system rollback and totalised fields

    • [cs.DC]Power of Finite Memory and Finite Communication Robots under Asynchronous Scheduler

    • [cs.DC]RDMAbox : Optimizing RDMA for Memory Intensive Workloads

    • [cs.DC]Reducing Write Amplification in Log-Structured Storage via Inferring Block Invalidation Time

    • [cs.DL]International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020

    • [cs.GR]Efficient Hyperparameter Optimization for Physics-based Character Animation

    • [cs.GR]dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching

    • [cs.GT]Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium

    • [cs.GT]Cloud computing as a platform for monetizing data services: A two-sided game business model

    • [cs.HC]Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks

    • [cs.IR]A unified Neural Network Approach to E-CommerceRelevance Learning

    • [cs.IR]AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search

    • [cs.IR]Attention on Global-Local Embedding Spaces in Recommender Systems

    • [cs.IR]Automatic Description Construction for Math Expression via Topic Relation Graph

    • [cs.IR]DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search

    • [cs.IR]Form 10-Q Itemization

    • [cs.IR]Learning Passage Impacts for Inverted Indexes

    • [cs.IR]Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation

    • [cs.IT]A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network

    • [cs.IT]CSI-free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer

    • [cs.IT]Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications

    • [cs.IT]Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective

    • [cs.IT]HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO

    • [cs.IT]Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications

    • [cs.IT]Intelligent Reflective-Transmissive Metasurfaces for Full-Dimensional Communications: Principles, Technologies, and Implementation

    • [cs.IT]Labeling Multipath via Reconfigurable Intelligent Surface

    • [cs.IT]Membrane Fusion-Based Transmitter Design for Static and Diffusive Mobile Molecular Communication Systems

    • [cs.IT]On the Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel

    • [cs.IT]Optimal Transmit Beamforming for Integrated Sensing and Communication

    • [cs.IT]Random Spreading for Unsourced MAC with Power Diversity

    • [cs.IT]Reconfigurable Adaptive Channel Sensing

    • [cs.IT]Task Offloading Optimization in NOMA-Enabled Multi-hop Mobile Edge Computing System Using Conflict Graph

    • [cs.IT]Wireless Federated Learning (WFL) for 6G Networks — Part II: The Compute-then-Transmit NOMA Paradigm

    • [cs.LG]A Deep Reinforcement Learning Approach for the Meal Delivery Problem

    • [cs.LG]A Survey Of Regression Algorithms And Connections With Deep Learning

    • [cs.LG]Achieving Small Test Error in Mildly Overparameterized Neural Networks

    • [cs.LG]Algorithmic Solution for Non-Square, Dense Systems of Linear Equations, with applications in Feature Selection

    • [cs.LG]Aligned Contrastive Predictive Coding

    • [cs.LG]An Exploration into why Output Regularization Mitigates Label Noise

    • [cs.LG]Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration

    • [cs.LG]Auto-weighted low-rank representation for clustering

    • [cs.LG]Balancing Accuracy and Latency in Multipath Neural Networks

    • [cs.LG]Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction

    • [cs.LG]Class-Incremental Experience Replay for Continual Learning under Concept Drift

    • [cs.LG]Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression

    • [cs.LG]Communication-Efficient and Personalized Federated Lottery Ticket Learning

    • [cs.LG]DC3: A learning method for optimization with hard constraints

    • [cs.LG]DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

    • [cs.LG]Demystification of Few-shot and One-shot Learning

    • [cs.LG]Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

    • [cs.LG]Dominant motion identification of multi-particle system using deep learning from video

    • [cs.LG]EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case

    • [cs.LG]Efficient Evolutionary Models with Digraphons

    • [cs.LG]Efficient training of physics-informed neural networks via importance sampling

    • [cs.LG]Exploring Multi-dimensional Data via Subset Embedding

    • [cs.LG]Fair-Capacitated Clustering

    • [cs.LG]FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework

    • [cs.LG]Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks

    • [cs.LG]How Well Self-Supervised Pre-Training Performs with Streaming Data?

    • [cs.LG]Impact of Spatial Frequency Based Constraints on Adversarial Robustness

    • [cs.LG]Improving Botnet Detection with Recurrent Neural Network and Transfer Learning

    • [cs.LG]Instance-wise Causal Feature Selection for Model Interpretation

    • [cs.LG]Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

    • [cs.LG]LGD-GCN: Local and Global Disentangled Graph Convolutional Networks

    • [cs.LG]Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT

    • [cs.LG]Math Operation Embeddings for Open-ended Solution Analysis and Feedback

    • [cs.LG]Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm

    • [cs.LG]On the Comparison between Cyclic Sampling and Random Reshuffling

    • [cs.LG]One-parameter family of acquisition functions for efficient global optimization

    • [cs.LG]Optimal Dynamic Regret in Exp-Concave Online Learning

    • [cs.LG]Partitioning sparse deep neural networks for scalable training and inference

    • [cs.LG]Powered Dirichlet Process for Controlling the Importance of “Rich-Get-Richer” Prior Assumptions in Bayesian Clustering

    • [cs.LG]RP-DQN: An application of Q-Learning to Vehicle Routing Problems

    • [cs.LG]Selecting a number of voters for a voting ensemble

    • [cs.LG]Short-term forecast of EV charging stations occupancy probability using big data streaming analysis

    • [cs.LG]Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks

    • [cs.LG]Stochastic Recurrent Neural Network for Multistep Time Series Forecasting

    • [cs.LG]Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning

    • [cs.LG]Syft 0.5: A Platform for Universally Deployable Structured Transparency

    • [cs.LG]Towards Rigorous Interpretations: a Formalisation of Feature Attribution

    • [cs.LG]Towards Sustainable Census Independent Population Estimation in Mozambique

    • [cs.LG]Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network

    • [cs.LG]Weakly Supervised Multi-task Learning for Concept-based Explainability

    • [cs.LG]baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents

    • [cs.MM]ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming

    • [cs.NE]OPTION: OPTImization Algorithm Benchmarking ONtology

    • [cs.NE]Particle Swarms Reformulated towards a Unified and Flexible Framework

    • [cs.NI]Generalized ADMM in Distributed Learning via Variational Inequality

    • [cs.NI]Improving 6TiSCH Reliability and Latency with Simultaneous Multi-Band Operation

    • [cs.NI]On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks

    • [cs.NI]Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data

    • [cs.RO]A Robustness Analysis of Inverse Optimal Control of Bipedal Walking

    • [cs.RO]Adaptive Sampling: Algorithmic vs. Human Waypoint Selection

    • [cs.RO]An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution

    • [cs.RO]CFNet: LiDAR-Camera Registration Using Calibration Flow Network

    • [cs.RO]COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance

    • [cs.RO]Computing a Task-Dependent Grasp Metric Using Second Order Cone Programs

    • [cs.RO]Drone Launched Short Range Rockets

    • [cs.RO]Implementing Virtual Reality for Teleoperation of a Humanoid Robot

    • [cs.RO]KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control

    • [cs.RO]Learning Latent Graph Dynamics for Deformable Object Manipulation

    • [cs.RO]MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping

    • [cs.RO]Motion based Extrinsic Calibration of a 3D Lidar and an IMU

    • [cs.RO]MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles

    • [cs.RO]Optimal Algorithm Allocation for Robotic Network Cloud Systems

    • [cs.RO]Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

    • [cs.RO]Semi-Autonomous Planning and Visualization in Virtual Reality

    • [cs.RO]UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar

    • [cs.RO]Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances

    • [cs.SD]An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion

    • [cs.SD]MusCaps: Generating Captions for Music Audio

    • [cs.SD]Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications

    • [cs.SD]Points2Sound: From mono to binaural audio using 3D point cloud scenes

    • [cs.SE]DABT: A Dependency-aware Bug Triaging Method

    • [cs.SE]Predicting the Number of Reported Bugs in a Software Repository

    • [cs.SI]Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans

    • [cs.SI]User Preference-aware Fake News Detection

    • [econ.EM]Performance of Empirical Risk Minimization for Linear Regression with Dependent Data

    • [eess.AS]Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions

    • [eess.AS]Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

    • [eess.IV]A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images

    • [eess.IV]Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning

    • [eess.IV]Clean Images are Hard to Reblur: A New Clue for Deblurring

    • [eess.IV]Deep Convolutional Neural Network for Non-rigid Image Registration

    • [eess.IV]FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

    • [eess.IV]Learning to Address Intra-segment Misclassification in Retinal Imaging

    • [eess.IV]Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images

    • [eess.IV]Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining

    • [eess.IV]Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging

    • [eess.IV]Swimmer Stroke Rate Estimation From Overhead Race Video

    • [eess.SP]Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data

    • [eess.SP]Game-Theoretic Mode Scheduling for Dynamic TDD in 5G Systems

    • [eess.SP]Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver

    • [eess.SP]Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST

    • [eess.SP]Simultaneous Wireless Information and Power Transfer for Federated Learning

    • [eess.SP]Symplectic Transformations on Wigner Distributions and Time Frequency Signal Design

    • [eess.SP]Uncertainty Relations for MIMO Ambiguity Functions

    • [hep-ph]Invariant polynomials and machine learning

    • [math.FA]On the stability of deep convolutional neural networks under irregular or random deformations

    • [math.NA]Bayesian Numerical Methods for Nonlinear Partial Differential Equations

    • [math.NA]Operator Augmentation for General Noisy Matrix Systems

    • [math.NA]Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization

    • [math.OC]An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs

    • [math.OC]Efficient Formulation of Collision Avoidance Constraints in Optimization Based Trajectory Planning and Control

    • [math.OC]Solving a class of non-convex min-max games using adaptive momentum methods

    • [math.PR]A class of dimensionality-free metrics for the convergence of empirical measures

    • [math.ST]Bayesian predictive inference without a prior

    • [math.ST]Consistency of invariance-based randomization tests

    • [math.ST]Generalized heterogeneous hypergeometric functions and the distribution of the largest eigenvalue of an elliptical Wishart matrix

    • [math.ST]Nonparametric estimation of marginal distributions for unordered pairs

    • [math.ST]Valid Heteroskedasticity Robust Testing

    • [math.ST]Variational Inference in high-dimensional linear regression

    • [physics.ao-ph]Bridging observation, theory and numerical simulation of the ocean using Machine Learning

    • [q-bio.GN]Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

    • [q-bio.NC]Neurodynamical Role of STDP in Storage and Retrieval of Associative Information

    • [q-fin.MF]Generative Adversarial Network: Some Analytical Perspectives

    • [stat.AP]A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction

    • [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns

    • [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering

    • [stat.CO]Algorithms for finding generalized minimum aberration designs

    • [stat.ME]Benchmarking survival outcomes: A funnel plot for survival data

    • [stat.ME]Constrained Minimum Energy Designs

    • [stat.ME]Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation

    • [stat.ME]Data-Based Optimal Bandwidth for Kernel Density Estimation of Statistical Samples

    • [stat.ME]Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms

    • [stat.ME]Matrix Normal Cluster-Weighted Models

    • [stat.ME]Modeling Risk via Realized HYGARCH Model

    • [stat.ME]Robust selection of predictors and conditional outlier detection in a perturbed large-dimensional regression context

    • [stat.ME]System identification using Bayesian neural networks with nonparametric noise models

    • [stat.ME]The GLD-plot: A depth-based plot to investigate unimodality of directional data

    • [stat.ME]Transporting treatment effects with incomplete attributes

    • [stat.ME]Valid Post-Detection Inference for Change Points Identified Using Trend Filtering

    • [stat.ML]Algorithms for ridge estimation with convergence guarantees

    • [stat.ML]Breiman’s two cultures: You don’t have to choose sides

    • [stat.ML]Consistency issues in Gaussian Mixture Models reduction algorithms

    • [stat.ML]Deep Probabilistic Graphical Modeling

    • [stat.ML]Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis

    • [stat.ML]Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes

    • [stat.ML]Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence

    • [stat.ML]Machine Learning Approaches for Inferring Liver Diseases and Detecting Blood Donors from Medical Diagnosis

    • [stat.ML]Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance

    • [stat.ML]Predicting Depressive Symptom Severity through Individuals’ Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study

    • [stat.ML]Sampling Permutations for Shapley Value Estimation

    • [stat.ML]Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations

    • [stat.ML]tsrobprep — an R package for robust preprocessing of time series data

    • [stat.OT]A very short guide to IOI: A general framework for statistical inference summarised

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

    • [astro-ph.IM]Novel bivariate autoregressive model for predicting and forecasting irregularly observed time series

    Felipe Elorrieta, Susana Eyheramendy, Wilfredo Palma, Cesar Ojeda

    http://arxiv.org/abs/2104.12248v1

    • [cs.AI]Algebraic answer set programming

    Christian Antic

    http://arxiv.org/abs/2104.12156v1

    • [cs.AI]An Algorithm to Effect Prompt Termination of Myopic Local Search on Kauffman-s NK Landscape

    Sasanka Sekhar Chanda

    http://arxiv.org/abs/2104.12620v1

    • [cs.AI]Causal Learning for Socially Responsible AI

    Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

    http://arxiv.org/abs/2104.12278v1

    • [cs.AI]Compilation-based Solvers for Multi-Agent Path Finding: a Survey, Discussion, and Future Opportunities

    Pavel Surynek

    http://arxiv.org/abs/2104.11809v1

    • [cs.AI]Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

    Helge Spieker

    http://arxiv.org/abs/2104.11918v1

    • [cs.AI]Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs

    Jurian Baas, Mehdi Dastani, Ad Feelders

    http://arxiv.org/abs/2104.12589v1

    • [cs.AI]Fast Falsification of Neural Networks using Property Directed Testing

    Moumita Das, Rajarshi Ray, Swarup Kumar Mohalik, Ansuman Banerjee

    http://arxiv.org/abs/2104.12418v1

    • [cs.AI]Improving the filtering of Branch-And-Bound MDD solver (extended)

    Xavier Gillard, Vianney Coppé, Pierre Schaus, André Augusto Cire

    http://arxiv.org/abs/2104.11951v1

    • [cs.AI]Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

    Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian

    http://arxiv.org/abs/2104.12037v1

    • [cs.AI]Relational Argumentation Semantics

    Ryuta Arisaka, Takayuki Ito

    http://arxiv.org/abs/2104.12386v1

    • [cs.AI]Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients

    Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Son, Glaucio H. Paulino

    http://arxiv.org/abs/2104.12282v1

    • [cs.AI]Towards Visual Semantics

    Fausto Giunchiglia, Luca Erculiani, Andrea Passerini

    http://arxiv.org/abs/2104.12379v1

    • [cs.AI]TrustyAI Explainability Toolkit

    Rob Geada, Tommaso Teofili, Rui Vieira, Rebecca Whitworth, Daniele Zonca

    http://arxiv.org/abs/2104.12717v1

    • [cs.CL]A Bi-Encoder LSTM Model For Learning Unstructured Dialogs

    Diwanshu Shekhar, Pooran S. Negi, Mohammad Mahoor

    http://arxiv.org/abs/2104.12269v1

    • [cs.CL]A Sliding-Window Approach to Automatic Creation of Meeting Minutes

    Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu

    http://arxiv.org/abs/2104.12324v1

    • [cs.CL]A dissemination workshop for introducing young Italian students to NLP

    Lucio Messina, Lucia Busso, Claudia Roberta Combei, Ludovica Pannitto, Alessio Miaschi, Gabriele Sarti, Malvina Nissim

    http://arxiv.org/abs/2104.12405v1

    • [cs.CL]Attention vs non-attention for a Shapley-based explanation method

    Tom Kersten, Hugh Mee Wong, Jaap Jumelet, Dieuwke Hupkes

    http://arxiv.org/abs/2104.12424v1

    • [cs.CL]Auto Response Generation in Online Medical Chat Services

    Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik

    http://arxiv.org/abs/2104.12755v1

    • [cs.CL]Automatic Post-Editing for Translating Chinese Novels to Vietnamese

    Thanh Vu, Dai Quoc Nguyen

    http://arxiv.org/abs/2104.12128v1

    • [cs.CL]Contextual Lexicon-Based Approach for Hate Speech and Offensive Language Detection

    Francielle Alves Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo

    http://arxiv.org/abs/2104.12265v1

    • [cs.CL]DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension

    Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu

    http://arxiv.org/abs/2104.12377v1

    • [cs.CL]Easy and Efficient Transformer : Scalable Inference Solution For large NLP mode

    Gongzheng li, Yadong Xi, Jingzhen Ding, Duan Wang, Bai Liu, Changjie Fan, Xiaoxi Mao, Zeng Zhao

    http://arxiv.org/abs/2104.12470v1

    • [cs.CL]Evaluating the Values of Sources in Transfer Learning

    Md Rizwan Parvez, Kai-Wei Chang

    http://arxiv.org/abs/2104.12567v1

    • [cs.CL]Explore BiLSTM-CRF-Based Models for Open Relation Extraction

    Tao Ni, Qing Wang, Gabriela Ferraro

    http://arxiv.org/abs/2104.12333v1

    • [cs.CL]Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums

    Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi

    http://arxiv.org/abs/2104.12643v1

    • [cs.CL]Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation

    Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu

    http://arxiv.org/abs/2104.11928v1

    • [cs.CL]Focused Attention Improves Document-Grounded Generation

    Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W Black, Ruslan Salakhutdinov

    http://arxiv.org/abs/2104.12714v1

    • [cs.CL]GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval

    Timo Möller, Julian Risch, Malte Pietsch

    http://arxiv.org/abs/2104.12741v1

    • [cs.CL]Identifying Offensive Expressions of Opinion in Context

    Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes

    http://arxiv.org/abs/2104.12227v1

    • [cs.CL]Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System

    Congying Xia, Wenpeng Yin, Yihao Feng, Philip Yu

    http://arxiv.org/abs/2104.11882v1

    • [cs.CL]Modeling Coverage for Non-Autoregressive Neural Machine Translation

    Yong Shan, Yang Feng, Chenze Shao

    http://arxiv.org/abs/2104.11897v1

    • [cs.CL]Non-Parametric Few-Shot Learning for Word Sense Disambiguation

    Howard Chen, Mengzhou Xia, Danqi Chen

    http://arxiv.org/abs/2104.12677v1

    • [cs.CL]On a Utilitarian Approach to Privacy Preserving Text Generation

    Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

    http://arxiv.org/abs/2104.11838v1

    • [cs.CL]Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing

    Pengfei Liu, Youzhang Ning, King Keung Wu, Kun Li, Helen Meng

    http://arxiv.org/abs/2104.12114v1

    • [cs.CL]PanGu-今日学术视野(2021.4.28) - 图3: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation

    Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian

    http://arxiv.org/abs/2104.12369v1

    • [cs.CL]Reranking Machine Translation Hypotheses with Structured and Web-based Language Models

    Wen Wang, Andreas Stolcke, Jing Zheng

    http://arxiv.org/abs/2104.12277v1

    • [cs.CL]Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students

    Ludovica Pannitto, Lucia Busso, Claudia Roberta Combei, Lucio Messina, Alessio Miaschi, Gabriele Sarti, Malvina Nissim

    http://arxiv.org/abs/2104.12422v1

    • [cs.CL]Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages

    Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova

    http://arxiv.org/abs/2104.11761v1

    • [cs.CL]Transformers to Fight the COVID-19 Infodemic

    Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi

    http://arxiv.org/abs/2104.12201v1

    • [cs.CL]Vietnamese Open-domain Complaint Detection in E-Commerce Websites

    Nhung Thi-Hong Nguyen, Phuong Ha-Dieu Phan, Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

    http://arxiv.org/abs/2104.11969v1

    • [cs.CL]What Makes a Message Persuasive? Identifying Adaptations Towards Persuasiveness in Nine Exploratory Case Studies

    Sebastian Duerr, Krystian Teodor Lange, Peter A. Gloor

    http://arxiv.org/abs/2104.12454v1

    • [cs.CL]XLM-T: A Multilingual Language Model Toolkit for Twitter

    Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados

    http://arxiv.org/abs/2104.12250v1

    • [cs.CR]Two-Server Verifiable Homomorphic Secret Sharing for High-Degree Polynomials

    Xin Chen, Liang Feng Zhang

    http://arxiv.org/abs/2104.12163v1

    • [cs.CV]2.5D Visual Relationship Detection

    Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong

    http://arxiv.org/abs/2104.12727v1

    • [cs.CV]3D Adversarial Attacks Beyond Point Cloud

    Jinlai Zhang, Lyujie Chen, Binbin Liu, Bo Ouyang, Qizhi Xie, Jihong Zhu, Yanmei Meng

    http://arxiv.org/abs/2104.12146v1

    • [cs.CV]3D Scene Compression through Entropy Penalized Neural Representation Functions

    Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou

    http://arxiv.org/abs/2104.12456v1

    • [cs.CV]3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head

    Qianyun Wang, Zhenfeng Fan, Shihong Xia

    http://arxiv.org/abs/2104.12051v1

    • [cs.CV]3D/2D regularized CNN feature hierarchy for Hyperspectral image classification

    Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano

    http://arxiv.org/abs/2104.12136v1

    • [cs.CV]A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation

    Sunjing Lin, Yu Liu, Shaochu Wang, Chang Li, Han Wang

    http://arxiv.org/abs/2104.12167v1

    • [cs.CV]A Survey of Modern Deep Learning based Object Detection Models

    Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Asghar, Brian Lee

    http://arxiv.org/abs/2104.11892v1

    • [cs.CV]A novel segmentation dataset for signatures on bank checks

    Muhammad Saif Ullah Khan

    http://arxiv.org/abs/2104.12203v1

    • [cs.CV]ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification

    Jinping Wang, Xiaojun Tan, Jianhuang Lai, Jun Li, Canqun Xiang

    http://arxiv.org/abs/2104.12085v1

    • [cs.CV]Adaptive Appearance Rendering

    Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori

    http://arxiv.org/abs/2104.11931v1

    • [cs.CV]Anomaly Detection for Solder Joints Using 今日学术视野(2021.4.28) - 图4-VAE

    Furkan Ulger, Seniha Esen Yuksel, Atila Yilmaz

    http://arxiv.org/abs/2104.11927v1

    • [cs.CV]Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

    Yihua Cheng, Haofei Wang, Yiwei Bao, Feng Lu

    http://arxiv.org/abs/2104.12668v1

    • [cs.CV]Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations

    Sina Famouri, Lia Morra, Leonardo Mangia, Fabrizio Lamberti

    http://arxiv.org/abs/2104.12218v1

    • [cs.CV]CAGAN: Text-To-Image Generation with Combined Attention GANs

    Henning Schulze, Dogucan Yaman, Alexander Waibel

    http://arxiv.org/abs/2104.12663v1

    • [cs.CV]Calibrating LiDAR and Camera using Semantic Mutual information

    Peng Jiang, Philip Osteen, Srikanth Saripalli

    http://arxiv.org/abs/2104.12023v1

    • [cs.CV]Carrying out CNN Channel Pruning in a White Box

    Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

    http://arxiv.org/abs/2104.11883v1

    • [cs.CV]Class Equilibrium using Coulomb’s Law

    Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh

    http://arxiv.org/abs/2104.12287v1

    • [cs.CV]CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment

    Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov

    http://arxiv.org/abs/2104.12642v1

    • [cs.CV]Computer vision in automated parking systems: Design, implementation and challenges

    Markus Heimberger, Jonathan Horgan, Ciaran Hughes, John McDonald, Senthil Yogamani

    http://arxiv.org/abs/2104.12537v1

    • [cs.CV]Contextualized Keyword Representations for Multi-modal Retinal Image Captioning

    Jia-Hong Huang, Ting-Wei Wu, Marcel Worring

    http://arxiv.org/abs/2104.12471v1

    • [cs.CV]Delving into Data: Effectively Substitute Training for Black-box Attack

    Wenxuan Wang, Bangjie Yin, Taiping Yao, Li Zhang, Yanwei Fu, Shouhong Ding, Jilin Li, Feiyue Huang, Xiangyang Xue

    http://arxiv.org/abs/2104.12378v1

    • [cs.CV]Dense Point Prediction: A Simple Baseline for Crowd Counting and Localization

    Yi Wang, Xinyu Hou, Lap-Pui Chau

    http://arxiv.org/abs/2104.12505v1

    • [cs.CV]Detecting and Matching Related Objects with One Proposal Multiple Predictions

    Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan

    http://arxiv.org/abs/2104.12574v1

    • [cs.CV]Diverse Image Inpainting with Bidirectional and Autoregressive Transformers

    Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao

    http://arxiv.org/abs/2104.12335v1

    • [cs.CV]Do All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics

    Stone Yun, Alexander Wong

    http://arxiv.org/abs/2104.11849v1

    • [cs.CV]Dynamic Degradation for Image Restoration and Fusion

    Aiqing Fang, Xinbo Zhao, Jiaqi Yang, Yanning Zhang

    http://arxiv.org/abs/2104.12347v1

    • [cs.CV]Dynamic VAEs with Generative Replay for Continual Zero-shot Learning

    Subhankar Ghosh

    http://arxiv.org/abs/2104.12468v1

    • [cs.CV]ECLIPSE : Envisioning Cloud Induced Perturbations in Solar Energy

    Quentin Paletta, Anthony Hu, Guillaume Arbod, Joan Lasenby

    http://arxiv.org/abs/2104.12419v1

    • [cs.CV]EigenGAN: Layer-Wise Eigen-Learning for GANs

    Zhenliang He, Meina Kan, Shiguang Shan

    http://arxiv.org/abs/2104.12476v1

    • [cs.CV]Ensembles of GANs for synthetic training data generation

    Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger

    http://arxiv.org/abs/2104.11797v1

    • [cs.CV]Exploiting Explanations for Model Inversion Attacks

    Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim

    http://arxiv.org/abs/2104.12669v1

    • [cs.CV]GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization

    Jia-Hong Huang, Luka Murn, Marta Mrak, Marcel Worring

    http://arxiv.org/abs/2104.12465v1

    • [cs.CV]Generative modeling of spatio-temporal weather patterns with extreme event conditioning

    Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu

    http://arxiv.org/abs/2104.12469v1

    • [cs.CV]Green View Index Analysis and Optimal Green View Index Path Based on Street View and Deep Learning

    Anqi Hu, Jiahao Zhang, Hiroyuki Kaga

    http://arxiv.org/abs/2104.12627v1

    • [cs.CV]HAO: Hardware-aware neural Architecture Optimization for Efficient Inference

    Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer

    http://arxiv.org/abs/2104.12766v1

    • [cs.CV]Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty

    Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone

    http://arxiv.org/abs/2104.12446v1

    • [cs.CV]Image Inpainting with Edge-guided Learnable Bidirectional Attention Maps

    Dongsheng Wang, Chaohao Xie, Shaohui Liu, Zhenxing Niu, Wangmeng Zuo

    http://arxiv.org/abs/2104.12087v1

    • [cs.CV]Improve Vision Transformers Training by Suppressing Over-smoothing

    Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

    http://arxiv.org/abs/2104.12753v1

    • [cs.CV]InfographicVQA

    Minesh Mathew, Viraj Bagal, Rubèn Pérez Tito, Dimosthenis Karatzas, Ernest Valveny, C. V Jawahar

    http://arxiv.org/abs/2104.12756v1

    • [cs.CV]Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks

    Wang Zihao, Vandersteen Clair, Demarcy Thomas, Gnansia Dan, Raffaelli Charles, Guevara Nicolas, Delingette Herve

    http://arxiv.org/abs/2104.12510v1

    • [cs.CV]Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data

    Xuihui Jia, Kai Han, Yukun Zhu, Bradley Green

    http://arxiv.org/abs/2104.12673v1

    • [cs.CV]Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks

    Loïc Cordone, Benoît Miramond, Sonia Ferrante

    http://arxiv.org/abs/2104.12579v1

    • [cs.CV]Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos

    Yuming Du, Yang Xiao, Vincent Lepetit

    http://arxiv.org/abs/2104.12276v1

    • [cs.CV]M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

    Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha

    http://arxiv.org/abs/2104.11896v1

    • [cs.CV]MDETR — Modulated Detection for End-to-End Multi-Modal Understanding

    Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, Nicolas Carion

    http://arxiv.org/abs/2104.12763v1

    • [cs.CV]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

    Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang

    http://arxiv.org/abs/2104.12166v1

    • [cs.CV]Making GAN-Generated Images Difficult To Spot: A New Attack Against Synthetic Image Detectors

    Xinwei Zhao, Matthew C. Stamm

    http://arxiv.org/abs/2104.12069v1

    • [cs.CV]Model Guided Road Intersection Classification

    Augusto Luis Ballardini, Augusto Luis Ballardini, Miguel Ángel Sotelo

    http://arxiv.org/abs/2104.12417v1

    • [cs.CV]Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos

    Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie Boggust, Rameswar Panda, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang

    http://arxiv.org/abs/2104.12671v1

    • [cs.CV]Mutual Contrastive Learning for Visual Representation Learning

    Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

    http://arxiv.org/abs/2104.12565v1

    • [cs.CV]ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects

    Ricky Ma

    http://arxiv.org/abs/2104.12300v1

    • [cs.CV]Oriented Bounding Boxes for Small and Freely Rotated Objects

    Mohsen Zand, Ali Etemad, Michael Greenspan

    http://arxiv.org/abs/2104.11854v1

    • [cs.CV]Parallel Scale-wise Attention Network for Effective Scene Text Recognition

    Usman Sajid, Michael Chow, Jin Zhang, Taejoon Kim, Guanghui Wang

    http://arxiv.org/abs/2104.12076v1

    • [cs.CV]Parallel mesh reconstruction streams for pose estimation of interacting hands

    Uri Wollner, Guy Ben-Yosef

    http://arxiv.org/abs/2104.12123v1

    • [cs.CV]PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches

    Chong Xiang, Prateek Mittal

    http://arxiv.org/abs/2104.12609v1

    • [cs.CV]Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation

    Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori

    http://arxiv.org/abs/2104.11939v1

    • [cs.CV]Playing Lottery Tickets with Vision and Language

    Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu

    http://arxiv.org/abs/2104.11832v1

    • [cs.CV]Practical Wide-Angle Portraits Correction with Deep Structured Models

    Jing Tan, Shan Zhao, Pengfei Xiong, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu

    http://arxiv.org/abs/2104.12464v1

    • [cs.CV]Quantization of Deep Neural Networks for Accurate EdgeComputing

    Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi†, Meiping Huang, Xiaowe Xu

    http://arxiv.org/abs/2104.12046v1

    • [cs.CV]RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory

    Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

    http://arxiv.org/abs/2104.11934v1

    • [cs.CV]Rich Semantics Improve Few-shot Learning

    Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan

    http://arxiv.org/abs/2104.12709v1

    • [cs.CV]Single Stage Class Agnostic Common Object Detection: A Simple Baseline

    Chuong H. Nguyen, Thuy C. Nguyen, Anh H. Vo, Yamazaki Masayuki

    http://arxiv.org/abs/2104.12245v1

    • [cs.CV]Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image

    Qi Wang, Yanling Miao, Mulin Chen, Xuelong Li

    http://arxiv.org/abs/2104.11904v1

    • [cs.CV]Spherical formulation of geometric motion segmentation constraints in fisheye cameras

    Letizia Mariotti, Ciaran Eising

    http://arxiv.org/abs/2104.12404v1

    • [cs.CV]StegaPos: Preventing Crops and Splices with Imperceptible Positional Encodings

    Gokhan Egri, Todd Zickler

    http://arxiv.org/abs/2104.12290v1

    • [cs.CV]Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture

    Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam, Jiayao Zhang, Amirhossein Ahmadnia, Cecilia Bolognesi, Dominik L. Michels

    http://arxiv.org/abs/2104.12564v1

    • [cs.CV]Temp-Frustum Net: 3D Object Detection with Temporal Fusion

    Emeç Erçelik, Ekim Yurtsever, Alois Knoll

    http://arxiv.org/abs/2104.12106v1

    • [cs.CV]The 5th AI City Challenge

    Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff

    http://arxiv.org/abs/2104.12233v1

    • [cs.CV]Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets

    Yuan-Hong Liao, Amlan Kar, Sanja Fidler

    http://arxiv.org/abs/2104.12690v1

    • [cs.CV]Transformer Meets DCFAM: A Novel Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

    Libo Wang, Rui Li, Chenxi Duan, Shenghui Fang

    http://arxiv.org/abs/2104.12137v1

    • [cs.CV]UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments

    Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Alberto Garcia-Garcia, Sergio Orts-Escolano, Jose Garcia-Rodriguez, Markus Vincze

    http://arxiv.org/abs/2104.11776v1

    • [cs.CV]Unsupervised Learning of Multi-level Structures for Anomaly Detection

    Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li

    http://arxiv.org/abs/2104.12102v1

    • [cs.CV]VCGAN: Video Colorization with Hybrid Generative Adversarial Network

    Yuzhi Zhao, Lai-Man Po, Wing-Yin Yu, Yasar Abbas Ur Rehman, Mengyang Liu, Yujia Zhang, Weifeng Ou

    http://arxiv.org/abs/2104.12357v1

    • [cs.CV]Variational Pedestrian Detection

    Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin

    http://arxiv.org/abs/2104.12389v1

    • [cs.CV]Vector Neurons: A General Framework for SO(3)-Equivariant Networks

    Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas

    http://arxiv.org/abs/2104.12229v1

    • [cs.CV]Visformer: The Vision-friendly Transformer

    Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian

    http://arxiv.org/abs/2104.12533v1

    • [cs.CV]Visual Saliency Transformer

    Nian Liu, Ni Zhang, Kaiyuan Wan, Junwei Han, Ling Shao

    http://arxiv.org/abs/2104.12099v1

    • [cs.CV]Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps

    Mohammad Rahimzadeh, Soroush Parvin, Elnaz Safi, Mohammad Reza Mohammadi

    http://arxiv.org/abs/2104.12294v1

    • [cs.CY]Becoming Good at AI for Good

    Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

    http://arxiv.org/abs/2104.11757v1

    • [cs.CY]Computational Group Selection

    Nripsuta Saxena

    http://arxiv.org/abs/2104.12279v1

    • [cs.CY]Effective Metagraph-based Life Pattern Clustering with Big Human Mobility Data

    Wenjing Li, Haoran Zhang, Jinyu Chen, Peiran Li, Yuhao Yao, Mariko Shibasaki, Xuan Song, Ryosuke Shibasaki

    http://arxiv.org/abs/2104.11968v1

    • [cs.CY]We Haven’t Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI

    Julian Posada, Nicholas Weller, Wendy H. Wong

    http://arxiv.org/abs/2104.12731v1

    • [cs.CY]What About the Precedent: An Information-Theoretic Analysis of Common Law

    Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel

    http://arxiv.org/abs/2104.12133v1

    • [cs.DB]Towards Knowledge Graphs Validation through Weighted Knowledge Sources

    Elwin Huaman, Amar Tauqeer, Geni Bushati, Anna Fensel

    http://arxiv.org/abs/2104.12622v1

    • [cs.DC]A PGAS Communication Library for Heterogeneous Clusters

    Varun Sharma, Paul Chow

    http://arxiv.org/abs/2104.12350v1

    • [cs.DC]A Subquadratic-Time Distributed Algorithm for Exact Maximum Matching

    Naoki Kitamura, Taisuke Izumi

    http://arxiv.org/abs/2104.12057v1

    • [cs.DC]Microservice Dynamic Architecture-Level Deployment Orchestration

    Lorenzo Bacchiani, Mario Bravetti, Saverio Giallorenzo, Jacopo Mauro, Iacopo Talevi, Gianluigi Zavattaro

    http://arxiv.org/abs/2104.12466v1

    • [cs.DC]On system rollback and totalised fields

    Mark Burgess, Alva Couch

    http://arxiv.org/abs/2104.11958v1

    • [cs.DC]Power of Finite Memory and Finite Communication Robots under Asynchronous Scheduler

    Archak Das, Avisek Sharma, Buddhadeb Sau

    http://arxiv.org/abs/2104.12202v1

    • [cs.DC]RDMAbox : Optimizing RDMA for Memory Intensive Workloads

    Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu

    http://arxiv.org/abs/2104.12197v1

    • [cs.DC]Reducing Write Amplification in Log-Structured Storage via Inferring Block Invalidation Time

    Qiuping Wang, Jinhong Li, Patrick P. C. Lee, Guangliang Zhao, Chao Shi, Lilong Huang

    http://arxiv.org/abs/2104.12425v1

    • [cs.DL]International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020

    Xinyi Zhao, Samin Aref, Emilio Zagheni, Guy Stecklov

    http://arxiv.org/abs/2104.12380v1

    • [cs.GR]Efficient Hyperparameter Optimization for Physics-based Character Animation

    Zeshi Yang, Zhiqi Yin

    http://arxiv.org/abs/2104.12365v1

    • [cs.GR]dualFace:Two-Stage Drawing Guidance for Freehand Portrait Sketching

    Zhengyu Huang, Yichen Peng, Tomohiro Hibino, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata

    http://arxiv.org/abs/2104.12297v1

    • [cs.GT]Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium

    Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos

    http://arxiv.org/abs/2104.12761v1

    • [cs.GT]Cloud computing as a platform for monetizing data services: A two-sided game business model

    Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi

    http://arxiv.org/abs/2104.12762v1

    • [cs.HC]Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks

    Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang

    http://arxiv.org/abs/2104.11863v1

    • [cs.IR]A unified Neural Network Approach to E-CommerceRelevance Learning

    Yunjiang Jiang, Yue Shang, Rui Li, Wen-Yun Yang, Guoyu Tang, Chaoyi Ma, Yun Xiao, Eric Zhao

    http://arxiv.org/abs/2104.12302v1

    • [cs.IR]AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search

    Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang

    http://arxiv.org/abs/2104.12080v1

    • [cs.IR]Attention on Global-Local Embedding Spaces in Recommender Systems

    Munlika Rattaphun, Wen-Chieh Fang, Chih-Yi Chiu

    http://arxiv.org/abs/2104.12050v1

    • [cs.IR]Automatic Description Construction for Math Expression via Topic Relation Graph

    Ke Yuan, Zuoyu Yan, Yibo Li, Liangcai Gao, Zhi Tang

    http://arxiv.org/abs/2104.11890v1

    • [cs.IR]DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search

    Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein

    http://arxiv.org/abs/2104.11760v1

    • [cs.IR]Form 10-Q Itemization

    Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai

    http://arxiv.org/abs/2104.11783v1

    • [cs.IR]Learning Passage Impacts for Inverted Indexes

    Antonio Mallia, Omar Khattab, Nicola Tonellotto, Torsten Suel

    http://arxiv.org/abs/2104.12016v1

    • [cs.IR]Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation

    Yinjiang Cai, Zeyu Cui, Shu Wu, Zhen Lei, Xibo Ma

    http://arxiv.org/abs/2104.12483v1

    • [cs.IT]A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network

    B. Fesl, N. Turan, M. Koller, W. Utschick

    http://arxiv.org/abs/2104.12667v1

    • [cs.IT]CSI-free Rotary Antenna Beamforming for Massive RF Wireless Energy Transfer

    Onel L. A. López, Hirley Alves, Samuel Montejo-Sánchez, Richard D. Souza, Matti Latva-aho

    http://arxiv.org/abs/2104.12536v1

    • [cs.IT]Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications

    Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan

    http://arxiv.org/abs/2104.12309v1

    • [cs.IT]Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective

    Yanmin Wang, Wei Feng, Jue Wang, Tony Q. S. Quek

    http://arxiv.org/abs/2104.12077v1

    • [cs.IT]HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO

    Yusha Liu, Osvaldo Simeone

    http://arxiv.org/abs/2104.12274v1

    • [cs.IT]Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications

    Burak Ozpoyraz, Ibrahim Yildirim, Ertugrul Basar

    http://arxiv.org/abs/2104.12430v1

    • [cs.IT]Intelligent Reflective-Transmissive Metasurfaces for Full-Dimensional Communications: Principles, Technologies, and Implementation

    Hongliang Zhang, Shuhao Zeng, Boya Di, Yunhua Tan, Marco Di Renzo, Merouane Debbah, Lingyang Song, Zhu Han, H. Vincent Poor

    http://arxiv.org/abs/2104.12313v1

    • [cs.IT]Labeling Multipath via Reconfigurable Intelligent Surface

    Chang-Jen Wangy, Shang-Ling Shihy, Chao-Kai Weny, Shi Jin

    http://arxiv.org/abs/2104.12062v1

    • [cs.IT]Membrane Fusion-Based Transmitter Design for Static and Diffusive Mobile Molecular Communication Systems

    Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang

    http://arxiv.org/abs/2104.11864v1

    • [cs.IT]On the Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel

    Nemanja Stefan Perović, Le-Nam Tran, Marco Di Renzo, Mark F. Flanagan

    http://arxiv.org/abs/2104.12108v1

    • [cs.IT]Optimal Transmit Beamforming for Integrated Sensing and Communication

    Haocheng Hua, Jie Xu, Tony Xiao Han

    http://arxiv.org/abs/2104.11871v1

    • [cs.IT]Random Spreading for Unsourced MAC with Power Diversity

    Mohammad Javad Ahmadi, Tolga M. Duman

    http://arxiv.org/abs/2104.12186v1

    • [cs.IT]Reconfigurable Adaptive Channel Sensing

    Manuj Mukherjee, Aslan Tchamkerten, Chadi Jabbour

    http://arxiv.org/abs/2104.12460v1

    • [cs.IT]Task Offloading Optimization in NOMA-Enabled Multi-hop Mobile Edge Computing System Using Conflict Graph

    Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain

    http://arxiv.org/abs/2104.11801v1

    • [cs.IT]Wireless Federated Learning (WFL) for 6G Networks — Part II: The Compute-then-Transmit NOMA Paradigm

    Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis

    http://arxiv.org/abs/2104.12005v1

    • [cs.LG]A Deep Reinforcement Learning Approach for the Meal Delivery Problem

    Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik, Eray Mert Kavuk, Ayşe Tosun, Sibel B. Sonuc, Bilgin Kosucu, Ayşe Başar

    http://arxiv.org/abs/2104.12000v1

    • [cs.LG]A Survey Of Regression Algorithms And Connections With Deep Learning

    Yunpeng Tai

    http://arxiv.org/abs/2104.12647v1

    • [cs.LG]Achieving Small Test Error in Mildly Overparameterized Neural Networks

    Shiyu Liang, Ruoyu Sun, R. Srikant

    http://arxiv.org/abs/2104.11895v1

    • [cs.LG]Algorithmic Solution for Non-Square, Dense Systems of Linear Equations, with applications in Feature Selection

    Nikolaos P. Bakas

    http://arxiv.org/abs/2104.12570v1

    • [cs.LG]Aligned Contrastive Predictive Coding

    Jan Chorowski, Grzegorz Ciesielski, Jarosław Dzikowski, Adrian Łancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Paweł Rychlikowski, Michał Stypułkowski

    http://arxiv.org/abs/2104.11946v1

    • [cs.LG]An Exploration into why Output Regularization Mitigates Label Noise

    Neta Shoham, Tomer Avidor, Nadav Israel

    http://arxiv.org/abs/2104.12477v1

    • [cs.LG]Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration

    Jivat Neet Kaur, Yiding Jiang, Paul Pu Liang

    http://arxiv.org/abs/2104.11902v1

    • [cs.LG]Auto-weighted low-rank representation for clustering

    Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang

    http://arxiv.org/abs/2104.12308v1

    • [cs.LG]Balancing Accuracy and Latency in Multipath Neural Networks

    Mohammed Amer, Tomás Maul, Iman Yi Liao

    http://arxiv.org/abs/2104.12040v1

    • [cs.LG]Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction

    Marcin Michalak, Jesús S. Aguilar-Ruiz

    http://arxiv.org/abs/2104.12493v1

    • [cs.LG]Class-Incremental Experience Replay for Continual Learning under Concept Drift

    Łukasz Korycki, Bartosz Krawczyk

    http://arxiv.org/abs/2104.11861v1

    • [cs.LG]Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression

    Zhefeng Qiao, Xianghao Yu, Jun Zhang, Khaled B. Letaief

    http://arxiv.org/abs/2104.12416v1

    • [cs.LG]Communication-Efficient and Personalized Federated Lottery Ticket Learning

    Sejin Seo, Seung-Woo Ko, Jihong Park, Seong-Lyun Kim, Mehdi Bennis

    http://arxiv.org/abs/2104.12501v1

    • [cs.LG]DC3: A learning method for optimization with hard constraints

    Priya L. Donti, David Rolnick, J. Zico Kolter

    http://arxiv.org/abs/2104.12225v1

    • [cs.LG]DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

    Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin

    http://arxiv.org/abs/2104.11981v1

    • [cs.LG]Demystification of Few-shot and One-shot Learning

    Ivan Y. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou

    http://arxiv.org/abs/2104.12174v1

    • [cs.LG]Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

    Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn

    http://arxiv.org/abs/2104.12125v1

    • [cs.LG]Dominant motion identification of multi-particle system using deep learning from video

    Yayati Jadhav, Amir Barati Farimani

    http://arxiv.org/abs/2104.12722v1

    • [cs.LG]EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case

    Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera

    http://arxiv.org/abs/2104.11914v1

    • [cs.LG]Efficient Evolutionary Models with Digraphons

    Abhinav Tamaskar, Bud Mishra

    http://arxiv.org/abs/2104.12748v1

    • [cs.LG]Efficient training of physics-informed neural networks via importance sampling

    Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani

    http://arxiv.org/abs/2104.12325v1

    • [cs.LG]Exploring Multi-dimensional Data via Subset Embedding

    Peng Xie, Wenyuan Tao, Jie Li, Wentao Huang, Siming Chen

    http://arxiv.org/abs/2104.11867v1

    • [cs.LG]Fair-Capacitated Clustering

    Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi

    http://arxiv.org/abs/2104.12116v1

    • [cs.LG]FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework

    Chen Zhao, Zhipeng Gao, Qian Wang, Kaile Xiao, Zijia Mo, M. Jamal Deen

    http://arxiv.org/abs/2104.12086v1

    • [cs.LG]Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks

    Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan

    http://arxiv.org/abs/2104.12623v1

    • [cs.LG]How Well Self-Supervised Pre-Training Performs with Streaming Data?

    Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng

    http://arxiv.org/abs/2104.12081v1

    • [cs.LG]Impact of Spatial Frequency Based Constraints on Adversarial Robustness

    Rémi Bernhard, Pierre-Alain Moellic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz

    http://arxiv.org/abs/2104.12679v1

    • [cs.LG]Improving Botnet Detection with Recurrent Neural Network and Transfer Learning

    Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm

    http://arxiv.org/abs/2104.12602v1

    • [cs.LG]Instance-wise Causal Feature Selection for Model Interpretation

    Pranoy Panda, Sai Srinivas Kancheti, Vineeth N Balasubramanian

    http://arxiv.org/abs/2104.12759v1

    • [cs.LG]Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

    Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, Muhammad Ismail, Thomas J Overbye, Erchin Serpedin

    http://arxiv.org/abs/2104.11846v1

    • [cs.LG]LGD-GCN: Local and Global Disentangled Graph Convolutional Networks

    Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang

    http://arxiv.org/abs/2104.11893v1

    • [cs.LG]Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT

    Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas, William J. Buchanan

    http://arxiv.org/abs/2104.12426v1

    • [cs.LG]Math Operation Embeddings for Open-ended Solution Analysis and Feedback

    Mengxue Zhang, Zichao Wang, Richard Baraniuk, Andrew Lan

    http://arxiv.org/abs/2104.12047v1

    • [cs.LG]Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm

    Hassan Alsawadi, Muhammad Bilal

    http://arxiv.org/abs/2104.11970v1

    • [cs.LG]On the Comparison between Cyclic Sampling and Random Reshuffling

    Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin

    http://arxiv.org/abs/2104.12112v1

    • [cs.LG]One-parameter family of acquisition functions for efficient global optimization

    Takuya Kanazawa

    http://arxiv.org/abs/2104.12363v1

    • [cs.LG]Optimal Dynamic Regret in Exp-Concave Online Learning

    Dheeraj Baby, Yu-Xiang Wang

    http://arxiv.org/abs/2104.11824v1

    • [cs.LG]Partitioning sparse deep neural networks for scalable training and inference

    Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu

    http://arxiv.org/abs/2104.11805v1

    • [cs.LG]Powered Dirichlet Process for Controlling the Importance of “Rich-Get-Richer” Prior Assumptions in Bayesian Clustering

    Gaël Poux-Médard, Julien Velcin, Sabine Loudcher

    http://arxiv.org/abs/2104.12485v1

    • [cs.LG]RP-DQN: An application of Q-Learning to Vehicle Routing Problems

    Ahmad Bdeir, Simon Boeder, Tim Dernedde, Kirill Tkachuk, Jonas K. Falkner, Lars Schmidt-Thieme

    http://arxiv.org/abs/2104.12226v1

    • [cs.LG]Selecting a number of voters for a voting ensemble

    Eric Bax

    http://arxiv.org/abs/2104.11833v1

    • [cs.LG]Short-term forecast of EV charging stations occupancy probability using big data streaming analysis

    Francesca Soldan, Enea Bionda, Giuseppe Mauri, Silvia Celaschi

    http://arxiv.org/abs/2104.12503v1

    • [cs.LG]Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks

    Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy

    http://arxiv.org/abs/2104.12528v1

    • [cs.LG]Stochastic Recurrent Neural Network for Multistep Time Series Forecasting

    Zexuan Yin, Paolo Barucca

    http://arxiv.org/abs/2104.12311v1

    • [cs.LG]Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning

    Zhi Chen, Jiang Duan, Li Kang, Guoping Qiu

    http://arxiv.org/abs/2104.11952v1

    • [cs.LG]Syft 0.5: A Platform for Universally Deployable Structured Transparency

    Adam James Hall, Madhava Jay, Tudor Cebere, Bogdan Cebere, Koen Lennart van der Veen, George Muraru, Tongye Xu, Patrick Cason, William Abramson, Ayoub Benaissa, Chinmay Shah, Alan Aboudib, Théo Ryffel, Kritika Prakash, Tom Titcombe, Varun Kumar Khare, Maddie Shang, Ionesio Junior, Animesh Gupta, Jason Paulmier, Nahua Kang, Andrew Trask

    http://arxiv.org/abs/2104.12385v1

    • [cs.LG]Towards Rigorous Interpretations: a Formalisation of Feature Attribution

    Darius Afchar, Romain Hennequin, Vincent Guigue

    http://arxiv.org/abs/2104.12437v1

    • [cs.LG]Towards Sustainable Census Independent Population Estimation in Mozambique

    Isaac Neal, Sohan Seth, Gary Watmough, Mamadou Saliou Diallo

    http://arxiv.org/abs/2104.12696v1

    • [cs.LG]Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network

    Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman

    http://arxiv.org/abs/2104.12518v1

    • [cs.LG]Weakly Supervised Multi-task Learning for Concept-based Explainability

    Catarina Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro

    http://arxiv.org/abs/2104.12459v1

    • [cs.LG]baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents

    Michael A. Alcorn, Anh Nguyen

    http://arxiv.org/abs/2104.11980v1

    • [cs.MM]ANT: Learning Accurate Network Throughput for Better Adaptive Video Streaming

    Jiaoyang Yin, Yiling Xu, Hao Chen, Yunfei Zhang, Steve Appleby, Zhan Ma

    http://arxiv.org/abs/2104.12507v1

    • [cs.NE]OPTION: OPTImization Algorithm Benchmarking ONtology

    Ana Kostovska, Diederick Vermetten, Carola Doerr, Sašo Džeroski, Panče Panov, Tome Eftimov

    http://arxiv.org/abs/2104.11889v1

    • [cs.NE]Particle Swarms Reformulated towards a Unified and Flexible Framework

    Mauro Sebastián Innocente

    http://arxiv.org/abs/2104.12475v1

    • [cs.NI]Generalized ADMM in Distributed Learning via Variational Inequality

    Saeedeh Parsaeefard, Alberto Leon Garcia

    http://arxiv.org/abs/2104.12608v1

    • [cs.NI]Improving 6TiSCH Reliability and Latency with Simultaneous Multi-Band Operation

    Marcus Vinicius Bunn, Richard Demo Souza, Guilherme Luiz Moritz

    http://arxiv.org/abs/2104.12482v1

    • [cs.NI]On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks

    Valentina Rossi, Paolo Testolina, Marco Giordani, Michele Zorzi

    http://arxiv.org/abs/2104.11785v1

    • [cs.NI]Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data

    Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang

    http://arxiv.org/abs/2104.12678v1

    • [cs.RO]A Robustness Analysis of Inverse Optimal Control of Bipedal Walking

    John R. Rebula, Stefan Schaal, James Finley, Ludovic Righetti

    http://arxiv.org/abs/2104.12042v1

    • [cs.RO]Adaptive Sampling: Algorithmic vs. Human Waypoint Selection

    Stephanie Kemna, Sara Kangaslahti, Oliver Kroemer, Gaurav S. Sukhatme

    http://arxiv.org/abs/2104.11962v1

    • [cs.RO]An Interval Branch-and-Bound-Based Inverse Kinemetics Algorithm Towards Global Optimal Redundancy Resolution

    Yajue Yang, Yuanqing Wu, Jia Pan

    http://arxiv.org/abs/2104.12183v1

    • [cs.RO]CFNet: LiDAR-Camera Registration Using Calibration Flow Network

    Xudong Lv, Boya Wang, Ziwen Dou, Dong Ye, Shuo Wang

    http://arxiv.org/abs/2104.11907v1

    • [cs.RO]COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance

    Vittorio Lippi, Thomas Mergner, Thomas Seel, Christoph Maurer

    http://arxiv.org/abs/2104.11935v1

    • [cs.RO]Computing a Task-Dependent Grasp Metric Using Second Order Cone Programs

    Amin Fakhari, Aditya Patankar, Jiayin Xie, Nilanjan Chakraborty

    http://arxiv.org/abs/2104.12158v1

    • [cs.RO]Drone Launched Short Range Rockets

    Mikhail Shubov

    http://arxiv.org/abs/2104.11831v1

    • [cs.RO]Implementing Virtual Reality for Teleoperation of a Humanoid Robot

    Jordan Allspaw, Gregory LeMasurier, Holly Yanco

    http://arxiv.org/abs/2104.11826v1

    • [cs.RO]KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control

    Christos K. Verginis, Dimos V. Dimarogonas, Lydia E. Kavraki

    http://arxiv.org/abs/2104.11917v1

    • [cs.RO]Learning Latent Graph Dynamics for Deformable Object Manipulation

    Xiao Ma, David Hsu, Wee Sun Lee

    http://arxiv.org/abs/2104.12149v1

    • [cs.RO]MILIOM: Tightly Coupled Multi-Input Lidar-Inertia Odometry and Mapping

    Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie

    http://arxiv.org/abs/2104.11888v1

    • [cs.RO]Motion based Extrinsic Calibration of a 3D Lidar and an IMU

    Subodh Mishra, Gaurav Pandey, Srikanth Saripalli

    http://arxiv.org/abs/2104.12280v1

    • [cs.RO]MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles

    Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Chen-Fang Chang, Ragunathan, Rajkumar

    http://arxiv.org/abs/2104.11959v1

    • [cs.RO]Optimal Algorithm Allocation for Robotic Network Cloud Systems

    Saeid Alirezazadeh, André Correia, Luís A. Alexandre

    http://arxiv.org/abs/2104.12710v1

    • [cs.RO]Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

    Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano

    http://arxiv.org/abs/2104.12175v1

    • [cs.RO]Semi-Autonomous Planning and Visualization in Virtual Reality

    Gregory LeMasurier, Jordan Allspaw, Holly A. Yanco

    http://arxiv.org/abs/2104.11827v1

    • [cs.RO]UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar

    Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jurgen Dickmann

    http://arxiv.org/abs/2104.11979v1

    • [cs.RO]Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances

    Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Yogamani

    http://arxiv.org/abs/2104.12583v1

    • [cs.SD]An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion

    Sandipan Dhar, Nanda Dulal Jana, Swagatam Das

    http://arxiv.org/abs/2104.12159v1

    • [cs.SD]MusCaps: Generating Captions for Music Audio

    Ilaria Manco, Emmanouil Benetos, Elio Quinton, Gyorgy Fazekas

    http://arxiv.org/abs/2104.11984v1

    • [cs.SD]Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications

    SeyyedPooya HekmatiAthar, Mohd Anwar

    http://arxiv.org/abs/2104.11880v1

    • [cs.SD]Points2Sound: From mono to binaural audio using 3D point cloud scenes

    Francesc Lluís, Vasileios Chatziioannou, Alex Hofmann

    http://arxiv.org/abs/2104.12462v1

    • [cs.SE]DABT: A Dependency-aware Bug Triaging Method

    Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik, Ayşe Başar

    http://arxiv.org/abs/2104.12744v1

    • [cs.SE]Predicting the Number of Reported Bugs in a Software Repository

    Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar

    http://arxiv.org/abs/2104.12001v1

    • [cs.SI]Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans

    A K M Nuhil Mehdy, Michael D. Ekstrand, Bart P. Knijnenburg, Hoda Mehrpouyan

    http://arxiv.org/abs/2104.11847v1

    • [cs.SI]User Preference-aware Fake News Detection

    Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun

    http://arxiv.org/abs/2104.12259v1

    • [econ.EM]Performance of Empirical Risk Minimization for Linear Regression with Dependent Data

    Christian Brownlees, Guðmundur Stefán Guðmundsson

    http://arxiv.org/abs/2104.12127v1

    • [eess.AS]Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions

    Roman Bedyakin, Nikolay Mikhaylovskiy

    http://arxiv.org/abs/2104.11985v1

    • [eess.AS]Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

    Kosuke Futamata, Byeongseon Park, Ryuichi Yamamoto, Kentaro Tachibana

    http://arxiv.org/abs/2104.12395v1

    • [eess.IV]A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images

    Fahdi Kanavati, Masayuki Tsuneki

    http://arxiv.org/abs/2104.12478v1

    • [eess.IV]Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning

    Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jonathan Heras, Alireza Rahimi, Assef Zare, Ram Bilas Pachori, J. Manuel Gorriz

    http://arxiv.org/abs/2104.11949v1

    • [eess.IV]Clean Images are Hard to Reblur: A New Clue for Deblurring

    Seungjun Nah, Sanghyun Son, Jaerin Lee, Kyoung Mu Lee

    http://arxiv.org/abs/2104.12665v1

    • [eess.IV]Deep Convolutional Neural Network for Non-rigid Image Registration

    Eduard F. Durech

    http://arxiv.org/abs/2104.12034v1

    • [eess.IV]FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia

    Longling Zhang, Bochen Shen, Ahmed Barnawi, Shan Xi, Neeraj Kumar, Yi Wu

    http://arxiv.org/abs/2104.12581v1

    • [eess.IV]Learning to Address Intra-segment Misclassification in Retinal Imaging

    Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse Keane, Daniel Alexander

    http://arxiv.org/abs/2104.12138v1

    • [eess.IV]Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images

    Xiaowe Xu, Jiawei Zhang, Jinglan Liu, Yukun Ding, Tianchen Wang, Hailong Qiu, Haiyun Yuan, Jian Zhuang, Wen Xie, Yuhao Dong, Qianjun Jia, Meiping Huang, Yiyu Shi

    http://arxiv.org/abs/2104.12044v1

    • [eess.IV]Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining

    Xiang Chen, Yufeng Huang, Lei Xu

    http://arxiv.org/abs/2104.12100v1

    • [eess.IV]Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging

    Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast, Lüder A. Kahrs, Tobias Ortmaier

    http://arxiv.org/abs/2104.12376v1

    • [eess.IV]Swimmer Stroke Rate Estimation From Overhead Race Video

    Timothy Woinoski, Ivan V. Bajić

    http://arxiv.org/abs/2104.12056v1

    • [eess.SP]Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram Data

    Lucas Cassiel Jacaruso

    http://arxiv.org/abs/2104.12284v1

    • [eess.SP]Game-Theoretic Mode Scheduling for Dynamic TDD in 5G Systems

    Chandan Kumar Sheemar, Leonardo Badia, Stefano Tomasin

    http://arxiv.org/abs/2104.12367v1

    • [eess.SP]Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver

    Xinyu Bian, Yuyi Mao, Jun Zhang

    http://arxiv.org/abs/2104.12443v1

    • [eess.SP]Scalable End-to-End RF Classification: A Case Study on Undersized Dataset Regularization by Convolutional-MST

    Khalid Youssef, Greg Schuette, Yubin Cai, Daisong Zhang, Yikun Huang, Yahya Rahmat-Samii, Louis-S. Bouchard

    http://arxiv.org/abs/2104.12103v1

    • [eess.SP]Simultaneous Wireless Information and Power Transfer for Federated Learning

    José Mairton B. da Silva Jr., Konstantinos Ntougias, Ioannis Krikidis, Gábor Fodor, Carlo Fischione

    http://arxiv.org/abs/2104.12749v1

    • [eess.SP]Symplectic Transformations on Wigner Distributions and Time Frequency Signal Design

    Eren Berk Kama, Mustafa Kuzuoğlu

    http://arxiv.org/abs/2104.12703v1

    • [eess.SP]Uncertainty Relations for MIMO Ambiguity Functions

    Eren Berk Kama, Mustafa Kuzuoğlu

    http://arxiv.org/abs/2104.12691v1

    • [hep-ph]Invariant polynomials and machine learning

    Ward Haddadin

    http://arxiv.org/abs/2104.12733v1

    • [math.FA]On the stability of deep convolutional neural networks under irregular or random deformations

    Fabio Nicola, S. Ivan Trapasso

    http://arxiv.org/abs/2104.11977v1

    • [math.NA]Bayesian Numerical Methods for Nonlinear Partial Differential Equations

    Junyang Wang, Jon Cockayne, Oksana Chkrebtii, T. J. Sullivan, Chris. J. Oates

    http://arxiv.org/abs/2104.12587v1

    • [math.NA]Operator Augmentation for General Noisy Matrix Systems

    Philip Etter, Lexing Ying

    http://arxiv.org/abs/2104.11294v1

    • [math.NA]Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization

    Pascal Fernsel

    http://arxiv.org/abs/2104.12289v1

    • [math.OC]An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs

    Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki, Themistoklis Charalambous

    http://arxiv.org/abs/2104.11866v1

    • [math.OC]Efficient Formulation of Collision Avoidance Constraints in Optimization Based Trajectory Planning and Control

    Max Lutz, Thomas Meurer

    http://arxiv.org/abs/2104.12641v1

    • [math.OC]Solving a class of non-convex min-max games using adaptive momentum methods

    Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis

    http://arxiv.org/abs/2104.12676v1

    • [math.PR]A class of dimensionality-free metrics for the convergence of empirical measures

    Jiequn Han, Ruimeng Hu, Jihao Long

    http://arxiv.org/abs/2104.12036v1

    • [math.ST]Bayesian predictive inference without a prior

    Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Pietro Rigo, Luca Pratelli

    http://arxiv.org/abs/2104.11643v2

    • [math.ST]Consistency of invariance-based randomization tests

    Edgar Dobriban

    http://arxiv.org/abs/2104.12260v1

    • [math.ST]Generalized heterogeneous hypergeometric functions and the distribution of the largest eigenvalue of an elliptical Wishart matrix

    Aya Shinozaki, Koki Shimizu, Koki Shimizu

    http://arxiv.org/abs/2104.12552v1

    • [math.ST]Nonparametric estimation of marginal distributions for unordered pairs

    L. Dumitrescu, D. Harcourt

    http://arxiv.org/abs/2104.11371v1

    • [math.ST]Valid Heteroskedasticity Robust Testing

    Benedikt M. Pötscher, David Preinerstorfer

    http://arxiv.org/abs/2104.12597v1

    • [math.ST]Variational Inference in high-dimensional linear regression

    Sumit Mukherjee, Subhabrata Sen

    http://arxiv.org/abs/2104.12232v1

    • [physics.ao-ph]Bridging observation, theory and numerical simulation of the ocean using Machine Learning

    Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji

    http://arxiv.org/abs/2104.12506v1

    • [q-bio.GN]Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer

    Debaditya Chakraborty, Cristina Ivan, Paola Amero, Maliha Khan, Cristian Rodriguez-Aguayo, Hakan Başağaoğlu, Gabriel Lopez-Berestein

    http://arxiv.org/abs/2104.12021v1

    • [q-bio.NC]Neurodynamical Role of STDP in Storage and Retrieval of Associative Information

    Hongkyu Yoon, Pilwon Kim

    http://arxiv.org/abs/2104.12249v1

    • [q-fin.MF]Generative Adversarial Network: Some Analytical Perspectives

    Haoyang Cao, Xin Guo

    http://arxiv.org/abs/2104.12210v1

    • [stat.AP]A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction

    Ufuk Beyaztas, Han Lin Shang, Zaher Mundher Yaseen

    http://arxiv.org/abs/2104.12431v1

    • [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns

    Wauter Bosma, Sander Dalm, Erwin van Eijk, Rachid el Harchaoui, Edwin Rijgersberg, Hannah Tereza Tops, Alle Veenstra, Rolf Ypma

    http://arxiv.org/abs/2104.11683v2

    • [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering

    Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale, Alex Geringer-Sameth, David C. Stenning, Roberto Trotta, David A. van Dyk

    http://arxiv.org/abs/2104.11492v2

    • [stat.CO]Algorithms for finding generalized minimum aberration designs

    Dursun A. Bulutoglu, Kenneth J. Ryan

    http://arxiv.org/abs/2104.12588v1

    • [stat.ME]Benchmarking survival outcomes: A funnel plot for survival data

    Hein Putter, Dirk-Jan Eikema, Liesbeth C. de Wreede, Eoin McGrath, Isabel Sanchez-Ortega, Riccardo Saccardi, John A. Snowden, Erik W. van Zwet

    http://arxiv.org/abs/2104.12688v1

    • [stat.ME]Constrained Minimum Energy Designs

    Chaofan Huang, V. Roshan Joseph, Douglas M. Ray

    http://arxiv.org/abs/2104.11963v1

    • [stat.ME]Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation

    Ruoyang Zhang, Yisha Yao, Malay Ghosh

    http://arxiv.org/abs/2104.12060v1

    • [stat.ME]Data-Based Optimal Bandwidth for Kernel Density Estimation of Statistical Samples

    Zhen-Wei Li, Ping He

    http://arxiv.org/abs/2104.12301v1

    • [stat.ME]Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms

    Hannah Li, Geng Zhao, Ramesh Johari, Gabriel Y. Weintraub

    http://arxiv.org/abs/2104.12222v1

    • [stat.ME]Matrix Normal Cluster-Weighted Models

    Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

    http://arxiv.org/abs/2104.11900v1

    • [stat.ME]Modeling Risk via Realized HYGARCH Model

    El Hadji Mamadou Sall, El Hadji Deme, Abdou Ka Diongue

    http://arxiv.org/abs/2104.12409v1

    • [stat.ME]Robust selection of predictors and conditional outlier detection in a perturbed large-dimensional regression context

    Matteo Farnè, Angelos Vouldis

    http://arxiv.org/abs/2104.12208v1

    • [stat.ME]System identification using Bayesian neural networks with nonparametric noise models

    Christos Merkatas, Simo Särkkä

    http://arxiv.org/abs/2104.12119v1

    • [stat.ME]The GLD-plot: A depth-based plot to investigate unimodality of directional data

    Giuseppe Pandolfo

    http://arxiv.org/abs/2104.11965v1

    • [stat.ME]Transporting treatment effects with incomplete attributes

    Imke Mayer, Julie Josse, Traumabase Group

    http://arxiv.org/abs/2104.12639v1

    • [stat.ME]Valid Post-Detection Inference for Change Points Identified Using Trend Filtering

    Reza Valiollahi Mehrizi, Shojaeddin Chenouri

    http://arxiv.org/abs/2104.12022v1

    • [stat.ML]Algorithms for ridge estimation with convergence guarantees

    Wanli Qiao, Wolfgang Polonik

    http://arxiv.org/abs/2104.12314v1

    • [stat.ML]Breiman’s two cultures: You don’t have to choose sides

    Andrew C. Miller, Nicholas J. Foti, Emily B. Fox

    http://arxiv.org/abs/2104.12219v1

    • [stat.ML]Consistency issues in Gaussian Mixture Models reduction algorithms

    A. D’Ortenzio, C. Manes

    http://arxiv.org/abs/2104.12586v1

    • [stat.ML]Deep Probabilistic Graphical Modeling

    Adji B. Dieng

    http://arxiv.org/abs/2104.12053v1

    • [stat.ML]Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individuals future health using machine learning: A longitudinal analysis

    Mark Green

    http://arxiv.org/abs/2104.12516v1

    • [stat.ML]Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes

    Minh Ha Quang

    http://arxiv.org/abs/2104.12368v1

    • [stat.ML]Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence

    Yuetian Luo, Anru R. Zhang

    http://arxiv.org/abs/2104.12031v1

    • [stat.ML]Machine Learning Approaches for Inferring Liver Diseases and Detecting Blood Donors from Medical Diagnosis

    Fahad B. Mostafa, Md Easin Hasan

    http://arxiv.org/abs/2104.12055v1

    • [stat.ML]Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance

    Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily B. Fox

    http://arxiv.org/abs/2104.12231v1

    • [stat.ML]Predicting Depressive Symptom Severity through Individuals’ Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study

    Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum Stewart, Petroula Laiou, Faith Matcham, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, David C Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda WJH Pennix, Vaibhav A Narayan, Peter Annas, Matthew Hotopf, Richard JB Dobson

    http://arxiv.org/abs/2104.12407v1

    • [stat.ML]Sampling Permutations for Shapley Value Estimation

    Rory Mitchell, Joshua Cooper, Eibe Frank, Geoffrey Holmes

    http://arxiv.org/abs/2104.12199v1

    • [stat.ML]Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations

    J. M. Sanz-Serna, Konstantinos C. Zygalakis

    http://arxiv.org/abs/2104.12384v1

    • [stat.ML]tsrobprep — an R package for robust preprocessing of time series data

    Michał Narajewski, Jens Kley-Holsteg, Florian Ziel

    http://arxiv.org/abs/2104.12657v1

    • [stat.OT]A very short guide to IOI: A general framework for statistical inference summarised

    Russell J. Bowater

    http://arxiv.org/abs/2104.11766v1