astro-ph.EP - 地球与行星天体
astro-ph.HE - 高能天体物理现象
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.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
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.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.PL - 编程语言
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.CA - 古典分析与常微分方程
math.DS - 动力系统
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.geo-ph - 地球物理学
physics.soc-ph - 物理学与社会
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.DC]Block Access Control in Wireless Blockchain Network: Design, Modeling and Analysis
• [astro-ph.EP]Multi-Output Random Forest Regression to Emulate the Earliest Stages of Planet Formation
• [astro-ph.HE]Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation
• [cs.AI]A Human-Centered Interpretability Framework Based on Weight of Evidence
• [cs.AI]A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
• [cs.AI]A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
• [cs.AI]Document Structure aware Relational Graph Convolutional Networks for Ontology Population
• [cs.AI]Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report)
• [cs.AI]Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
• [cs.AI]Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
• [cs.AI]Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques
• [cs.AI]Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence
• [cs.AI]Why AI is Harder Than We Think
• [cs.CL]Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention
• [cs.CL]Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
• [cs.CL]Identifying Offensive Expressions of Opinion in Context
• [cs.CL]LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach
• [cs.CL]Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
• [cs.CL]Non-Parametric Few-Shot Learning for Word Sense Disambiguation
• [cs.CL]Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction
• [cs.CL]SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer
• [cs.CL]Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles
• [cs.CL]Semi-Supervised Joint Estimation of Word and Document Readability
• [cs.CL]Teaching a Massive Open Online Course on Natural Language Processing
• [cs.CL]Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
• [cs.CL]UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter
• [cs.CR]Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
• [cs.CR]Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021
• [cs.CR]Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model’s Complexity
• [cs.CR]Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
• [cs.CV]AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions
• [cs.CV]Adapting ImageNet-scale models to complex distribution shifts with self-learning
• [cs.CV]An Attention and Prediction Guided Visual System for Small Target Motion Detection in Complex Natural Environments
• [cs.CV]Balancing Constraints and Submodularity in Data Subset Selection
• [cs.CV]BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
• [cs.CV]Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
• [cs.CV]Detecting Personality and Emotion Traits in Crowds from Video Sequences
• [cs.CV]Dual Transformer for Point Cloud Analysis
• [cs.CV]Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
• [cs.CV]Explaining in Style: Training a GAN to explain a classifier in StyleSpace
• [cs.CV]Fisheye Lens Camera based Autonomous Valet Parking System
• [cs.CV]Graphical Modeling for Multi-Source Domain Adaptation
• [cs.CV]Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
• [cs.CV]LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
• [cs.CV]LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
• [cs.CV]MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
• [cs.CV]Machine Learning based Lie Detector applied to a Collected and Annotated Dataset
• [cs.CV]Multi-view Deep One-class Classification: A Systematic Exploration
• [cs.CV]Multimodal Contrastive Training for Visual Representation Learning
• [cs.CV]NTIRE 2021 Depth Guided Image Relighting Challenge
• [cs.CV]Practical Wide-Angle Portraits Correction with Deep Structured Models
• [cs.CV]Rethinking BiSeNet For Real-time Semantic Segmentation
• [cs.CV]SGNet: A Super-class Guided Network for Image Classification and Object Detection
• [cs.CV]Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
• [cs.CV]Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data
• [cs.CV]Three-stream network for enriched Action Recognition
• [cs.CV]Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
• [cs.CV]Unsupervised 3D Shape Completion through GAN Inversion
• [cs.CV]Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
• [cs.CV]Visformer: The Vision-friendly Transformer
• [cs.CV]Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
• [cs.CY]C-Ports: a proposal for a comprehensive standardization and implementation plan of digital services offered by the “Port of the Future”
• [cs.CY]Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison
• [cs.DC]Designing a scalable framework for declarative automation on distributed systems
• [cs.DC]In Search of Optimal Data Placement for Eliminating Write Amplification in Log-Structured Storage
• [cs.DC]K-Clique Counting on GPUs
• [cs.DC]Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations
• [cs.DC]Quasi-Dynamic Traffic Assignment using High Performance Computing
• [cs.DC]Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
• [cs.DC]Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach
• [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.GT]Computational Performance of Deep Reinforcement Learning to find Nash Equilibria
• [cs.HC]A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
• [cs.HC]Equity and Artificial Intelligence in Education: Will “AIEd” Amplify or Alleviate Inequities in Education?
• [cs.IR]A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
• [cs.IR]Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts
• [cs.IT]3D Placement and Orientation of mmWave-based UAVs for Guaranteed LoS Coverage
• [cs.IT]Backscatter-Assisted Wireless Powered Communication Networks Empowered by Intelligent Reflecting Surface
• [cs.IT]Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis
• [cs.IT]Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification
• [cs.IT]Emergence as the conversion of information: A unifying theory
• [cs.IT]Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications
• [cs.IT]Modeling and Coverage Analysis for RIS-aided NOMA Transmissions in Heterogeneous Networks
• [cs.IT]Performance Analysis of Satellite Communication System Under the Shadowed-Rician Fading: A Stochastic Geometry Approach
• [cs.IT]Several classes of PcN power functions over finite fields
• [cs.IT]Throughput Maximization for IRS-Assisted Wireless Powered Hybrid NOMA and TDMA
• [cs.IT]UAV-Assisted Underwater Sensor Networks using RF and Optical Wireless Links
• [cs.LG]A Dual Process Model for Optimizing Cross Entropy in Neural Networks
• [cs.LG]A Graph Federated Architecture with Privacy Preserving Learning
• [cs.LG]A unified framework for Hamiltonian deep neural networks
• [cs.LG]Adaptive Adversarial Training for Meta Reinforcement Learning
• [cs.LG]Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)
• [cs.LG]Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
• [cs.LG]Certifiably Polynomial Algorithm for Best Group Subset Selection
• [cs.LG]Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
• [cs.LG]Continual Distributed Learning for Crisis Management
• [cs.LG]Detection of Fake Users in SMPs Using NLP and Graph Embeddings
• [cs.LG]Early Classification of Time Series is Meaningful
• [cs.LG]Efficient channel charting via phase-insensitive distance computation
• [cs.LG]End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks
• [cs.LG]Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
• [cs.LG]Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
• [cs.LG]Graph Neural Networks for Traffic Forecasting
• [cs.LG]Graph Neural Networks with Adaptive Frequency Response Filter
• [cs.LG]Handling Long-Tail Queries with Slice-Aware Conversational Systems
• [cs.LG]Influence Based Defense Against Data Poisoning Attacks in Online Learning
• [cs.LG]LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification
• [cs.LG]Learning low bending and low distortion manifold embeddings
• [cs.LG]Learning-based decentralized offloading decision making in an adversarial environment
• [cs.LG]Model-centric Data Manifold: the Data Through the Eyes of the Model
• [cs.LG]Multi-Fair Pareto Boosting
• [cs.LG]Network Embedding via Deep Prediction Model
• [cs.LG]Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
• [cs.LG]One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
• [cs.LG]Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles
• [cs.LG]Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
• [cs.LG]SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
• [cs.LG]Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
• [cs.LG]Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
• [cs.LG]UniTE — The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
• [cs.LG]Universal Off-Policy Evaluation
• [cs.LG]Unsupervised Deep Manifold Attributed Graph Embedding
• [cs.LG]Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection
• [cs.LG]Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
• [cs.NE]A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems
• [cs.NE]Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
• [cs.NI]Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics
• [cs.NI]In-Band-Interference Robust Synchronization Algorithm for an NC-OFDM System
• [cs.NI]Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
• [cs.PL]Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization
• [cs.RO]Assessing the Acceptability of a Humanoid Robot for Alzheimer’s Disease and Related Dementia Care Using an Online Survey
• [cs.RO]End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
• [cs.RO]Navigation of a Self-Driving Vehicle Using One Fiducial Marker
• [cs.RO]Quantitative Risk Indices for Autonomous Vehicle Training Systems
• [cs.RO]Real-time safety assessment of trajectories for autonomous driving
• [cs.RO]RoboStack: Using the Robot Operating System alongside the Conda and Jupyter Data Science Ecosystems
• [cs.RO]Towards an efficient inverse static model of a Festo actuator made of two antagonist muscles for hybrid control of its position and stiffness
• [cs.SD]Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
• [cs.SD]MULTIMODAL ANALYSIS: Informed content estimation and audio source separation
• [cs.SD]One Billion Audio Sounds from GPU-enabled Modular Synthesis
• [cs.SE]Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good
• [cs.SE]Shellcode_IA32: A Dataset for Automatic Shellcode Generation
• [cs.SI]#Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election
• [cs.SI]Identifying tax evasion in Mexico with tools from network science and machine learning
• [cs.SI]Tracking Peaceful Tractors on Social Media — XAI-enabled analysis of Red Fort Riots 2021
• [econ.EM]Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules
• [eess.AS]Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
• [eess.IV]Evidential segmentation of 3D PET/CT images
• [eess.IV]Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction
• [eess.IV]Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping
• [eess.SP]Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access
• [eess.SP]One-dimensional Active Contour Models for Raman Spectrum Baseline Correction
• [eess.SY]Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
• [math.CA]Refined Young inequality and its application to divergences
• [math.DS]Poncelet Guitar Picks
• [math.NA]Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion
• [math.OC]Multi-resource allocation for federated settings: A non-homogeneous Markov chain model
• [math.PR]A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures
• [math.ST]Central Limit Theorems for High Dimensional Dependent Data
• [math.ST]Mixture models for spherical data with applications to protein bioinformatics
• [math.ST]On dependent generalized sensitivity indices and asymptotic distributions
• [math.ST]Stability of trigonometric approximation in and applications to prediction theory
• [physics.geo-ph]Controlling earthquake-like instabilities using artificial intelligence
• [physics.soc-ph]Contrasting social and non-social sources of predictability in human mobility
• [quant-ph]Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era
• [stat.AP]A Comprehensive Survey of Inverse Uncertainty Quantification of Physical Model Parameters in Nuclear System Thermal-Hydraulics Codes
• [stat.AP]Combining independent p-values in replicability analysis: A comparative study
• [stat.AP]Geographic ratemaking with spatial embeddings
• [stat.AP]Network Analysis of SFU Course Registrations
• [stat.AP]Yield forecasting with machine learning and small data: what gains for grains?
• [stat.ME]Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
• [stat.ME]On Determining the Distribution of a Goodness-of-Fit Test Statistic
• [stat.ME]Ranking of average treatment effects with generalized random forests for time-to-event outcomes
• [stat.ME]Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding
• [stat.ML]Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions
• [stat.ML]Infinitesimal gradient boosting
• [stat.ML]Initializing LSTM internal states via manifold learning
• [stat.ML]Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
• [stat.ML]The Hessian Screening Rule
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• [
5832
cs.DC]Block Access Control in Wireless Blockchain Network: Design, Modeling and Analysis
Yixin Li, Bin Cao, Liang Liang, Deming Mao, Lei Zhang
http://arxiv.org/abs/2104.13144v1
• [astro-ph.EP]Multi-Output Random Forest Regression to Emulate the Earliest Stages of Planet Formation
Kevin Hoffman, Jae Yoon Sung, André Zazzera
http://arxiv.org/abs/2104.12845v1
• [astro-ph.HE]Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation
Akira Harada, Shota Nishikawa, Shoichi Yamada
http://arxiv.org/abs/2104.13039v1
• [cs.AI]A Human-Centered Interpretability Framework Based on Weight of Evidence
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan
http://arxiv.org/abs/2104.13299v1
• [cs.AI]A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Shuai Wang, Penghui Wei, Jiahao Zhao, Wenji Mao
http://arxiv.org/abs/2104.13046v1
• [cs.AI]A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung, Bo Ryu
http://arxiv.org/abs/2104.13187v1
• [cs.AI]Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Abhay M Shalghar, Ayush Kumar, Balaji Ganesan, Aswin Kannan, Shobha G
http://arxiv.org/abs/2104.12950v1
• [cs.AI]Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report)
Christian Alrabbaa, Franz Baader, Stefan Borgwardt, Patrick Koopmann, Alisa Kovtunova
http://arxiv.org/abs/2104.13138v1
• [cs.AI]Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
http://arxiv.org/abs/2104.13095v1
• [cs.AI]Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
Yuyu Zhang, Heng Chi, Binghong Chen, Tsz Ling Elaine Tang, Lucia Mirabella, Le Song, Glaucio H. Paulino
http://arxiv.org/abs/2104.12282v2
• [cs.AI]Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques
Grzegorz Chrupała
http://arxiv.org/abs/2104.13225v1
• [cs.AI]Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence
Li Weigang, Liriam Enamoto, Denise Leyi Li, Geraldo Pereira Rocha Filho
http://arxiv.org/abs/2104.13155v1
• [cs.AI]Why AI is Harder Than We Think
Melanie Mitchell
http://arxiv.org/abs/2104.12871v1
• [cs.CL]Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention
Soo Hyun Ryu, Richard L. Lewis
http://arxiv.org/abs/2104.12874v1
• [cs.CL]Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Rada Mihalcea
http://arxiv.org/abs/2104.12918v1
• [cs.CL]Identifying Offensive Expressions of Opinion in Context
Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes
http://arxiv.org/abs/2104.12227v2
• [cs.CL]LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach
Yves Bestgen
http://arxiv.org/abs/2104.13043v1
• [cs.CL]Morph Call: Probing Morphosyntactic Content of Multilingual Transformers
Vladislav Mikhailov, Oleg Serikov, Ekaterina Artemova
http://arxiv.org/abs/2104.12847v1
• [cs.CL]Non-Parametric Few-Shot Learning for Word Sense Disambiguation
Howard Chen, Mengzhou Xia, Danqi Chen
http://arxiv.org/abs/2104.12677v2
• [cs.CL]Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction
Xinmeng Li, Mamoun Alazab, Qian Li, Keping Yu, Quanjun Yin
http://arxiv.org/abs/2104.13173v1
• [cs.CL]SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer
Jicheng Li, Yang Feng, Jiao Ou
http://arxiv.org/abs/2104.12977v1
• [cs.CL]Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles
Neslihan Suzen, Alexander Gorban, Jeremy Levesley, Evgeny Mirkes
http://arxiv.org/abs/2104.12869v1
• [cs.CL]Semi-Supervised Joint Estimation of Word and Document Readability
Yoshinari Fujinuma, Masato Hagiwara
http://arxiv.org/abs/2104.13103v1
• [cs.CL]Teaching a Massive Open Online Course on Natural Language Processing
Ekaterina Artemova, Murat Apishev, Veronika Sarkisyan, Sergey Aksenov, Denis Kirjanov, Oleg Serikov
http://arxiv.org/abs/2104.12846v1
• [cs.CL]Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
http://arxiv.org/abs/2104.13346v1
• [cs.CL]UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter
Hamed Babaei Giglou, Taher Rahgooy, Mostafa Rahgouy, Jafar Razmara
http://arxiv.org/abs/2104.13164v1
• [cs.CR]Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Md Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu
http://arxiv.org/abs/2104.13190v1
• [cs.CR]Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021
John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William Streilein
http://arxiv.org/abs/2104.13254v1
• [cs.CR]Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model’s Complexity
Mathias P. M. Parisot, Balazs Pejo, Dayana Spagnuelo
http://arxiv.org/abs/2104.13061v1
• [cs.CR]Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
Shuo Yuan, Bin Cao, Yao Sun, Mugen Peng
http://arxiv.org/abs/2104.13130v1
• [cs.CV]AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions
Martin Kišš, Karel Beneš, Michal Hradiš
http://arxiv.org/abs/2104.13037v1
• [cs.CV]Adapting ImageNet-scale models to complex distribution shifts with self-learning
Evgenia Rusak, Steffen Schneider, Peter Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
http://arxiv.org/abs/2104.12928v1
• [cs.CV]An Attention and Prediction Guided Visual System for Small Target Motion Detection in Complex Natural Environments
Wang Hongxin, Zhao Jiannan, Wang Huatian, Peng Jigen, Yue Shigang
http://arxiv.org/abs/2104.13018v1
• [cs.CV]Balancing Constraints and Submodularity in Data Subset Selection
Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar
http://arxiv.org/abs/2104.12835v1
• [cs.CV]BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy
http://arxiv.org/abs/2104.13371v1
• [cs.CV]Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
Xian-Feng Han, Zhang-Yue He, Jia Chen, Guo-Qiang Xiao
http://arxiv.org/abs/2104.13053v1
• [cs.CV]Detecting Personality and Emotion Traits in Crowds from Video Sequences
Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse, Felipe Vilanova, Ângelo Brandelli Costa
http://arxiv.org/abs/2104.12927v1
• [cs.CV]Dual Transformer for Point Cloud Analysis
Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng, Guo-Qiang Xiao
http://arxiv.org/abs/2104.13044v1
• [cs.CV]Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen
http://arxiv.org/abs/2104.13243v1
• [cs.CV]Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
http://arxiv.org/abs/2104.13369v1
• [cs.CV]Fisheye Lens Camera based Autonomous Valet Parking System
Young Gon Jo, Seok Hyeon Hong, Sung Soo Hwang, Jeong Mok Ha
http://arxiv.org/abs/2104.13119v1
• [cs.CV]Graphical Modeling for Multi-Source Domain Adaptation
Minghao Xu, Hang Wang, Bingbing Ni
http://arxiv.org/abs/2104.13057v1
• [cs.CV]Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green
http://arxiv.org/abs/2104.12673v2
• [cs.CV]LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
[http://arxiv.org/abs/2104.13135v
f9b
1](http://arxiv.org/abs/2104.13135v
f9b
1)
• [cs.CV]LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
Chenglong Li, Wanlin Xue, Yaqing Jia, Zhichen Qu, Bin Luo, Jin Tang
http://arxiv.org/abs/2104.13202v1
• [cs.CV]MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
Zhenpei Yang, Zhile Ren, Qi Shan, Qixing Huang
http://arxiv.org/abs/2104.13325v1
• [cs.CV]Machine Learning based Lie Detector applied to a Collected and Annotated Dataset
Nuria Rodriguez-Diaz, Decky Aspandi, Federico Sukno, Xavier Binefa
http://arxiv.org/abs/2104.12345v1
• [cs.CV]Multi-view Deep One-class Classification: A Systematic Exploration
Siqi Wang, Jiyuan Liu, Guang Yu, Xinwang Liu, Sihang Zhou, En Zhu, Yuexiang Yang, Jianping Yin
http://arxiv.org/abs/2104.13000v1
• [cs.CV]Multimodal Contrastive Training for Visual Representation Learning
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta
http://arxiv.org/abs/2104.12836v1
• [cs.CV]NTIRE 2021 Depth Guided Image Relighting Challenge
Majed El Helou, Ruofan Zhou, Sabine Susstrunk, Radu Timofte
http://arxiv.org/abs/2104.13365v1
• [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/2104.12464v2
• [cs.CV]Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang, Xiaoming Wei, Zhenhua Chai, Junfeng Luo, Xiaolin Wei
http://arxiv.org/abs/2104.13188v1
• [cs.CV]SGNet: A Super-class Guided Network for Image Classification and Object Detection
Kaidong Li, Nina Y. Wang, Yiju Yang, Guanghui Wang
http://arxiv.org/abs/2104.12898v1
• [cs.CV]Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
Yixiao Ge, Ching Lam Choi, Xiao Zhang, Peipei Zhao, Feng Zhu, Rui Zhao, Hongsheng Li
http://arxiv.org/abs/2104.13298v1
• [cs.CV]Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data
Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb
http://arxiv.org/abs/2104.13268v1
• [cs.CV]Three-stream network for enriched Action Recognition
Ivaxi Sheth
http://arxiv.org/abs/2104.13051v1
• [cs.CV]Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
Chongyi Li, Saeed Anwar, Junhui Hou, Runmin Cong, Chunle Guo, Wenqi Ren
http://arxiv.org/abs/2104.13015v1
• [cs.CV]Unsupervised 3D Shape Completion through GAN Inversion
Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy
http://arxiv.org/abs/2104.13366v1
• [cs.CV]Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding
http://arxiv.org/abs/2104.12961v1
• [cs.CV]Visformer: The Vision-friendly Transformer
Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian
http://arxiv.org/abs/2104.12533v2
• [cs.CV]Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
Qian He, Shuailin Li, Xuming He
http://arxiv.org/abs/2104.13082v1
• [cs.CY]C-Ports: a proposal for a comprehensive standardization and implementation plan of digital services offered by the “Port of the Future”
P. Pagano
http://arxiv.org/abs/2104.13175v1
• [cs.CY]Mobsimilarity: Vector Graph Optimization for Mobility Tableau Comparison
Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Mariko Shibasaki, Ryosuke Shibasaki, Xuan Song
http://arxiv.org/abs/2104.13139v1
• [cs.DC]Designing a scalable framework for declarative automation on distributed systems
J. Lowell Wofford
http://arxiv.org/abs/2104.13263v1
• [cs.DC]In Search of Optimal Data Placement for Eliminating Write Amplification in Log-Structured Storage
Qiuping Wang, Jinhong Li, Patrick P. C. Lee, Guangliang Zhao, Chao Shi, Lilong Huang
http://arxiv.org/abs/2104.12425v2
• [cs.DC]K-Clique Counting on GPUs
Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei Hwu
http://arxiv.org/abs/2104.13209v1
• [cs.DC]Performance Portable Back-projection Algorithms on CPUs: Agnostic Data Locality and Vectorization Optimizations
Peng Chen, Mohamed Wahib, Xiao Wang, Shinichiro Takizawa, Takahiro Hirofuchi, Hirotaka Ogawa, Satoshi Matsuoka
http://arxiv.org/abs/2104.13248v1
• [cs.DC]Quasi-Dynamic Traffic Assignment using High Performance Computing
Cy Chan, Anu Kuncheria, Bingyu Zhao, Theophile Cabannes, Alexander Keimer, Bin Wang, Alexandre Bayen, Jane Macfarlane
http://arxiv.org/abs/2104.12911v1
• [cs.DC]Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
Xiaoyi Lu, Arjun Kashyap
http://arxiv.org/abs/rg/abs/2104.11272v1
• [cs.DC]Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach
Mingrui Cao, Long Zhang, Bin Cao
http://arxiv.org/abs/2104.13092v1
• [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/2104.12380v2
• [cs.GT]Computational Performance of Deep Reinforcement Learning to find Nash Equilibria
Christoph Graf, Viktor Zobernig, Johannes Schmidt, Claude Klöckl
http://arxiv.org/abs/2104.12895v1
• [cs.HC]A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh
http://arxiv.org/abs/2104.12964v1
• [cs.HC]Equity and Artificial Intelligence in Education: Will “AIEd” Amplify or Alleviate Inequities in Education?
Kenneth Holstein, Shayan Doroudi
http://arxiv.org/abs/2104.12920v1
• [cs.IR]A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
http://arxiv.org/abs/2104.13030v1
• [cs.IR]Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts
Martin Milenkoski, Diego Antognini, Claudiu Musat
http://arxiv.org/abs/2104.12822v1
• [cs.IT]3D Placement and Orientation of mmWave-based UAVs for Guaranteed LoS Coverage
Javad Sabzehali, Vijay K. Shah, Harpreet S. Dhillon, Jeffrey H. Reed
http://arxiv.org/abs/2104.12993v1
• [cs.IT]Backscatter-Assisted Wireless Powered Communication Networks Empowered by Intelligent Reflecting Surface
Parisa Ramezani, Abbas Jamalipour
http://arxiv.org/abs/2104.12888v1
• [cs.IT]Communicating with Extremely Large-Scale Array/Surface: Unified Modelling and Performance Analysis
Haiquan Lu, Yong Zeng
http://arxiv.org/abs/2104.13162v1
• [cs.IT]Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification
Han Yu, Xinping Yi, Giuseppe Caire
http://arxiv.org/abs/2104.13309v1
• [cs.IT]Emergence as the conversion of information: A unifying theory
Thomas Varley, Erik Hoel
http://arxiv.org/abs/2104.13368v1
• [cs.IT]Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications
Burak Ozpoyraz, Ibrahim Yildirim, Ertugrul Basar
http://arxiv.org/abs/2104.12430v2
• [cs.IT]Modeling and Coverage Analysis for RIS-aided NOMA Transmissions in Heterogeneous Networks
Ziyi Xie, Wenqiang Yi, Xuanli Wu, Yuanwei Liu, Arumugam Nallanathan
http://arxiv.org/abs/2104.13182v1
• [cs.IT]Performance Analysis of Satellite Communication System Under the Shadowed-Rician Fading: A Stochastic Geometry Approach
Dong-Hyun Jung, Joon-Gyu Ryu, Woo-Jin Byun, Junil Choi
http://arxiv.org/abs/2104.13010v1
• [cs.IT]Several classes of PcN power functions over finite fields
Xiaoqiang Wang, Dabin Zheng
http://arxiv.org/abs/2104.12942v1
• [cs.IT]Throughput Maximization for IRS-Assisted Wireless Powered Hybrid NOMA and TDMA
Dingcai Zhang, Qingqing Wu, Miao Cui, Guangchi Zhang, Dusit Niyato
http://arxiv.org/abs/2104.13265v1
• [cs.IT]UAV-Assisted Underwater Sensor Networks using RF and Optical Wireless Links
Pouya Agheli, Hamzeh Beyranvand, Mohammad Javad Emadi
http://arxiv.org/abs/2104.13236v1
• [cs.LG]A Dual Process Model for Optimizing Cross Entropy in Neural Networks
Stefan Jaeger
http://arxiv.org/abs/2104.13277v1
• [cs.LG]A Graph Federated Architecture with Privacy Preserving Learning
Elsa Rizk, Ali H. Sayed
http://arxiv.org/abs/2104.13215v1
• [cs.LG]A unified framework for Hamiltonian deep neural networks
Clara L. Galimberti, Liang Xu, Giancarlo Ferrari Trecate
http://arxiv.org/abs/2104.13166v1
• [cs.LG]Adaptive Adversarial Training for Meta Reinforcement Learning
Shiqi Chen, Zhengyu Chen, Donglin Wang
http://arxiv.org/abs/2104.13302v1
• [cs.LG]Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul Hovland, Valerie Taylor, Mary Hall
http://arxiv.org/abs/2104.13242v1
• [cs.LG]Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji
http://arxiv.org/abs/2104.13316v1
• [cs.LG]Certifiably Polynomial Algorithm for Best Group Subset Selection
Yanhang Zhang, Junxian Zhu, Jin Zhu, Xueqin Wang
http://arxiv.org/abs/2104.12576v1
• [cs.LG]Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
Yanjun Zhang, Guangdong Bai, Xue Li, Surya Nepal, Ryan K L Ko
http://arxiv.org/abs/2104.13050v1
• [cs.LG]Continual Distributed Learning for Crisis Management
Aman Priyanshu, Mudit Sinha, Shreyans Mehta
http://arxiv.org/abs/2104.12876v1
• [cs.LG]Detection of Fake Users in SMPs Using NLP and Graph Embeddings
Manojit Chakraborty, Shubham Das, Radhika Mamidi
http://arxiv.org/abs/2104.13094v1
• [cs.LG]Early Classification of Time Series is Meaningful
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
http://arxiv.org/abs/2104.13257v1
• [cs.LG]Efficient channel charting via phase-insensitive distance computation
Luc Le Magoarou
http://arxiv.org/abs/2104.13184v1
• [cs.LG]End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks
Rodrigo Mira, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Björn W. Schuller, Maja Pantic
http://arxiv.org/abs/2104.13332v1
• [cs.LG]Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
http://arxiv.org/abs/2104.12953v1
• [cs.LG]Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
Yaodong Yu, Tianyi Lin, Eric Mazumdar, Michael I. Jordan
http://arxiv.org/abs/2104.13326v1
• [cs.LG]Graph Neural Networks for Traffic Forecasting
João Rico, José Barateiro, Arlindo Oliveira
http://arxiv.org/abs/2104.13096v1
• [cs.LG]Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
http://arxiv.org/abs/2104.12840v1
• [cs.LG]Handling Long-Tail Queries with Slice-Aware Conversational Systems
Cheng Wang, Sun Kim, Taiwoo Park, Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya, Sungjin Lee
http://arxiv.org/abs/2104.13216v1
• [cs.LG]Influence Based Defense Against Data Poisoning Attacks in Online Learning
Sanjay Seetharaman, Shubham Malaviya, Rosni KV, Manish Shukla, Sachin Lodha
http://arxiv.org/abs/2104.13230v1
• [cs.LG]LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification
Robert Zhang, Rachael Stolzenberg-Solomon, Shannon M. Lynch, Ryan J. Urbanowicz
http://arxiv.org/abs/2104.12844v1
• [cs.LG]Learning low bending and low distortion manifold embeddings
Juliane Braunsmann, Marko Rajković, Martin Rumpf, Benedikt Wirth
http://arxiv.org/abs/2104.13189v1
• [cs.LG]Learning-based decentralized offloading decision making in an adversarial environment
Byungjin Cho, Yu Xiao
http://arxiv.org/abs/2104.12827v1
• [cs.LG]Model-centric Data Manifold: the Data Through the Eyes of the Model
Luca Grementieri, Rita Fioresi
http://arxiv.org/abs/2104.13289v1
• [cs.LG]Multi-Fair Pareto Boosting
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
http://arxiv.org/abs/2104.13312v1
• [cs.LG]Network Embedding via Deep Prediction Model
Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Boehm
http://arxiv.org/abs/2104.13323v1
• [cs.LG]Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Kashob Kumar Roy, Amit Roy, A K M Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali
http://arxiv.org/abs/2104.13014v1
• [cs.LG]One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu
http://arxiv.org/abs/2104.13114v1
• [cs.LG]Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles
Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper
http://arxiv.org/abs/2104.13201v1
• [cs.LG]Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
Franco Pellegrini, Giulio Biroli
http://arxiv.org/abs/2104.13343v1
• [cs.LG]SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
http://arxiv.org/abs/2104.13207v1
• [cs.LG]Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Kashob Kumar Roy, Amit Roy, A K M Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali
http://arxiv.org/abs/2104.13012v1
• [cs.LG]Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang
http://arxiv.org/abs/2104.13171v1
• [cs.LG]UniTE — The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
Tobias Skovgaard Jepsen, Christian S. Jensen, Thomas Dyhre Nielsen
http://arxiv.org/abs/2104.13321v1
• [cs.LG]Universal Off-Policy Evaluation
Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik Learned-Miller, Emma Brunskill, Philip S. Thomas
http://arxiv.org/abs/2104.12820v1
• [cs.LG]Unsupervised Deep Manifold Attributed Graph Embedding
Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li
http://arxiv.org/abs/2104.13048v1
• [cs.LG]Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection
Trent J. Bradberry, Christopher H. Hase, LeAnna Kent, Joel A. Góngora
http://arxiv.org/abs/2104.12837v1
• [cs.LG]Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
Moussa Doumbouya, Lisa Einstein, Chris Piech
http://arxiv.org/abs/2104.13083v1
• [cs.NE]A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems
Urban Škvorc, Tome Eftimov, Peter Korošec
http://arxiv.org/abs/2104.13060v1
• [cs.NE]Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
Jakob Bossek, Aneta Neumann, Frank Neumann
http://arxiv.org/abs/2104.13133v1
• [cs.NI]Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics
Pawel Kryszkiewicz, Filip Idzikowski, Bartosz Bossy, Bartosz Kopras, Hanna Bogucka
http://arxiv.org/abs/2104.12913v1
• [cs.NI]In-Band-Interference Robust Synchronization Algorithm for an NC-OFDM System
Pawel Kryszkiewicz, Hanna Bogucka
http://arxiv.org/abs/2104.12900v1
• [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/2104.12678v2
• [cs.PL]Inductive Program Synthesis over Noisy Datasets using Abstraction Refinement Based Optimization
Shivam Handa, Martin Rinard
http://arxiv.org/abs/2104.13315v1
• [cs.RO]Assessing the Acceptability of a Humanoid Robot for Alzheimer’s Disease and Related Dementia Care Using an Online Survey
Fengpei Yuan, Joel G. Anderson, Tami Wyatt, Ruth Palan Lopez, Monica Crane, Austin Montgomery, Xiaopeng Zhao
http://arxiv.org/abs/2104.12903v1
• [cs.RO]End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir
http://arxiv.org/abs/2104.12842v1
• [cs.RO]Navigation of a Self-Driving Vehicle Using One Fiducial Marker
Yibo Liu, Hunter Schofield, Jinjun Shan
http://arxiv.org/abs/2104.12954v1
• [cs.RO]Quantitative Risk Indices for Autonomous Vehicle Training Systems
Eduardo Candela, Yuxiang Feng, Panagiotis Angeloudis, Yiannis Demiris
http://arxiv.org/abs/2104.12945v1
• [cs.RO]Real-time safety assessment of trajectories for autonomous driving
Hoang Tung Dinh, Danilo Romano, Patrick Abrahao Menani, Victor Vaquero, Quentin De Clercq, Mario Torres
http://arxiv.org/abs/2104.13149v1
• [cs.RO]RoboStack: Using the Robot Operating System alongside the Conda and Jupyter Data Science Ecosystems
Tobias Fischer, Wolf Vollprecht, Silvio Traversaro, Sean Yen, Carlos Herrero, Michael Milford
http://arxiv.org/abs/2104.12910v1
• [cs.RO]Towards an efficient inverse static model of a Festo actuator made of two antagonist muscles for hybrid control of its position and stiffness
Bertrand Tondu
http://arxiv.org/abs/2104.13167v1
• [cs.SD]Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
Dimos Makris, Kat R. Agres, Dorien Herremans
http://arxiv.org/abs/2104.13056v1
• [cs.SD]MULTIMODAL ANALYSIS: Informed content estimation and audio source separation
Gabriel Meseguer-Brocal
http://arxiv.org/abs/2104.13276v1
• [cs.SD]One Billion Audio Sounds from GPU-enabled Modular Synthesis
Joseph Turian, Jordie Shier, George Tzanetakis, Kirk McNally, Max Henry
http://arxiv.org/abs/2104.12922v1
• [cs.SE]Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good
Yu Huang, Denae Ford, Thomas Zimmermann
http://arxiv.org/abs/2104.12891v1
• [cs.SE]Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Pietro Liguori, Erfan Al-Hossami, Domenico Cotroneo, Roberto Natella, Bojan Cukic, Samira Shaikh
http://arxiv.org/abs/2104.13100v1
• [cs.SI]#Trend Alert: How a Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election
Maurice Jakesch, Kiran Garimella, Dean Eckles, Mor Naaman
http://arxiv.org/abs/2104.13259v1
• [cs.SI]Identifying tax evasion in Mexico with tools from network science and machine learning
Martin Zumaya, Rita Guerrero, Eduardo Islas, Omar Pineda, Carlos Gershenson, Gerardo Iñiguez, Carlos Pineda
http://arxiv.org/abs/2104.13353v1
• [cs.SI]Tracking Peaceful Tractors on Social Media — XAI-enabled analysis of Red Fort Riots 2021
Ajay Agarwal
http://arxiv.org/abs/2104.13352v1
• [econ.EM]Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules
Yusuke Narita, Kohei Yata
http://arxiv.org/abs/2104.12909v1
• [eess.AS]Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw
http://arxiv.org/abs/2104.12870v1
• [eess.IV]Evidential segmentation of 3D PET/CT images
Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
http://arxiv.org/abs/2104.13293v1
• [eess.IV]Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction
Qingchao Zhang, Mehrdad Alvandipour, Wenjun Xia, Yi Zhang, Xiaojing Ye, Yunmei Chen
http://arxiv.org/abs/2104.12939v1
• [eess.IV]Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping
Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang
http://arxiv.org/abs/2104.13214v1
• [eess.SP]Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access
Ziyue Wang, Ya-Feng Liu, Zhilin Chen, Wei Yu
http://arxiv.org/abs/2104.12984v1
• [eess.SP]One-dimensional Active Contour Models for Raman Spectrum Baseline Correction
M. Hamed Mozaffari, Li-Lin Tay
http://arxiv.org/abs/2104.12839v1
• [eess.SY]Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
http://arxiv.org/abs/2104.12854v1
• [math.CA]Refined Young inequality and its application to divergences
Shigeru Furuichi, Nicuşor Minculete
http://arxiv.org/abs/2104.12925v1
• [math.DS]Poncelet Guitar Picks
Daniel Jaud, Dan Reznik, Ronaldo Garcia
http://arxiv.org/abs/2104.13174v1
• [math.NA]Complete Dynamics and Spectral Decomposition of the Ensemble Kalman Inversion
Leon Bungert, Philipp Wacker
http://arxiv.org/abs/2104.13281v1
• [math.OC]Multi-resource allocation for federated settings: A non-homogeneous Markov chain model
Syed Eqbal Alam, Fabian Wirth, Jia Yuan Yu
http://arxiv.org/abs/2104.12828v1
• [math.PR]A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures
Jiequn Han, Ruimeng Hu, Jihao Long
http://arxiv.org/abs/2104.12036v2
• [math.ST]Central Limit Theorems for High Dimensional Dependent Data
Jinyuan Chang, Xiaohui Chen, Mingcong Wu
http://arxiv.org/abs/2104.12929v1
• [math.ST]Mixture models for spherical data with applications to protein bioinformatics
Kanti V. Mardia, Stuart Barber, Philippa M. Burdett, John T. Kent, Thomas Hamelryck
http://arxiv.org/abs/2104.13140v1
• [math.ST]On dependent generalized sensitivity indices and asymptotic distributions
Matieyendou Lamboni
http://arxiv.org/abs/2104.12938v1
• [math.ST]Stability of trigonometric approximation in and applications to prediction theory
Lutz Klotz, Michael Frank
http://arxiv.org/abs/2104.13132v1
• [physics.geo-ph]Controlling earthquake-like instabilities using artificial intelligence
Efthymios Papachristos, Ioannis Stefanou
http://arxiv.org/abs/2104.13180v1
• [physics.soc-ph]Contrasting social and non-social sources of predictability in human mobility
Zexun Chen, Sean Kelty, Brooke Foucault Welles, James P. Bagrow, Ronaldo Menezes, Gourab Ghoshal
http://arxiv.org/abs/2104.13282v1
• [quant-ph]Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era
O. M. Pires, E. I. Duzzioni, J. Marchi, R. Santiago
http://arxiv.org/abs/2104.13297v1
• [stat.AP]A Comprehensive Survey of Inverse Uncertainty Quantification of Physical Model Parameters in Nuclear System Thermal-Hydraulics Codes
Xu Wu, Ziyu Xie, Farah Alsafadi, Tomasz Kozlowski
http://arxiv.org/abs/2104.12919v1
• [stat.AP]Combining independent p-values in replicability analysis: A comparative study
Anh-Tuan Hoang, Thorsten Dickhaus
http://arxiv.org/abs/2104.13081v1
• [stat.AP]Geographic ratemaking with spatial embeddings
Christopher Blier-Wong, Hélène Cossette, Luc Lamontagne, Etienne Marceau
http://arxiv.org/abs/2104.12852v1
• [stat.AP]Network Analysis of SFU Course Registrations
William Ruth, Richard Lockhart
http://arxiv.org/abs/2104.12769v1
• [stat.AP]Yield forecasting with machine learning and small data: what gains for grains?
Michele Meroni, François Waldner, Lorenzo Seguini, Hervé Kerdiles, Felix Rembold
http://arxiv.org/abs/2104.13246v1
• [stat.ME]Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm
Emily Roberts, Michael Elliott, Jeremy M. G. Taylor
http://arxiv.org/abs/2104.12947v1
• [stat.ME]On Determining the Distribution of a Goodness-of-Fit Test Statistic
Sean van der Merwe
http://arxiv.org/abs/2104.12832v1
• [stat.ME]Ranking of average treatment effects with generalized random forests for time-to-event outcomes
Helene C. W. Rytgaard, Claus T. Ekstrøm, Lars V. Kessing, Thomas A. Gerds
http://arxiv.org/abs/2104.13028v1
• [stat.ME]Simple yet Sharp Sensitivity Analysis for Unmeasured Confounding
Jose M. Peña
http://arxiv.org/abs/2104.13020v1
• [stat.ML]Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions
Michael C. Burkhart
http://arxiv.org/abs/2104.12949v1
• [stat.ML]Infinitesimal gradient boosting
Clément Dombry, Jean-Jil Duchamps
http://arxiv.org/abs/2104.13208v1
• [stat.ML]Initializing LSTM internal states via manifold learning
Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis
http://arxiv.org/abs/2104.13101v1
• [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/2104.12031v2
• [stat.ML]The Hessian Screening Rule
Johan Larsson, Jonas Wallin
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