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.ET - 新兴技术 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.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 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ex - 高能物理实验 math.NA - 数值分析 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 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.AI]Automatic Intent-Slot Induction for Dialogue Systems
• [cs.AI]Category Aware Explainable Conversational Recommendation
• [cs.AI]Evaluation of a Bi-Directional Methodology for Automated Assessment of Compliance to Continuous Application of Clinical Guidelines, in the Type 2 Diabetes-Management Domain
• [cs.AI]KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
• [cs.AI]Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
• [cs.AI]Modelling Behavioural Diversity for Learning in Open-Ended Games
• [cs.AI]Online Double Oracle
• [cs.AI]S: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
• [cs.AI]Ternary Hashing
• [cs.CL]A Multilingual African Embedding for FAQ Chatbots
• [cs.CL]A Transition-based Parser for Unscoped Episodic Logical Forms
• [cs.CL]Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling
• [cs.CL]Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time
• [cs.CL]Discriminative Learning for Probabilistic Context-Free Grammars based on Generalized H-Criterion
• [cs.CL]Gumbel-Attention for Multi-modal Machine Translation
• [cs.CL]LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval
• [cs.CL]MENYO-20k: A Multi-domain English-Yorùbá Corpus for Machine Translation and Domain Adaptation
• [cs.CL]OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
• [cs.CL]Robustly Optimized and Distilled Training for Natural Language Understanding
• [cs.CL]Structural Adapters in Pretrained Language Models for AMR-to-text Generation
• [cs.CL]dictNN: A Dictionary-Enhanced CNN Approach for Classifying Hate Speech on Twitter
• [cs.CR]SoK: Privacy-Preserving Collaborative Tree-based Model Learning
• [cs.CR]The Influence of Dropout on Membership Inference in Differentially Private Models
• [cs.CV]A Computer Vision System to Help Prevent the Transmission of COVID-19
• [cs.CV]A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition
• [cs.CV]A LiDAR-Guided Framework for Video Enhancement
• [cs.CV]Adversarial Driving: Attacking End-to-End Autonomous Driving Systems
• [cs.CV]Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
• [cs.CV]Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
• [cs.CV]BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
• [cs.CV]Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
• [cs.CV]Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
• [cs.CV]Combining Morphological and Histogram based Text Line Segmentation in the OCR Context
• [cs.CV]Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection
• [cs.CV]Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification
• [cs.CV]Dense Interaction Learning for Video-based Person Re-identification
• [cs.CV]Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
• [cs.CV]EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
• [cs.CV]Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
• [cs.CV]GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video
• [cs.CV]Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
• [cs.CV]Is it Enough to Optimize CNN Architectures on ImageNet?
• [cs.CV]LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation
• [cs.CV]Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition
• [cs.CV]Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
• [cs.CV]Modulating Localization and Classification for Harmonized Object Detection
• [cs.CV]Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
• [cs.CV]PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
• [cs.CV]QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
• [cs.CV]RackLay: Multi-Layer Layout Estimation for Warehouse Racks
• [cs.CV]Revisiting Dynamic Convolution via Matrix Decomposition
• [cs.CV]Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
• [cs.CV]S3Net: 3D LiDAR Sparse Semantic Segmentation Network
• [cs.CV]Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers
• [cs.CV]Skeleton Based Sign Language Recognition Using Whole-body Keypoints
• [cs.CV]Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
• [cs.CV]Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar
• [cs.CV]Towards Indirect Top-Down Road Transport Emissions Estimation
• [cs.CV]Track to Detect and Segment: An Online Multi-Object Tracker
• [cs.CV]UPANets: Learning from the Universal Pixel Attention Networks
• [cs.CY]Data Mining and Visualization to Understand Accident-prone Areas
• [cs.CY]OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
• [cs.DC]An Efficient Vectorization Scheme for Stencil Computation
• [cs.DC]Autotuning Benchmarking Techniques: A Roofline Model Case Study
• [cs.DC]Byzantine-tolerant Distributed Grow-only Sets: Specification and Applications
• [cs.DC]Distributed Deep Learning Using Volunteer Computing-Like Paradigm
• [cs.DC]Improving scalability and reliability of MPI-agnostic transparent checkpointing for production workloads at NERSC
• [cs.DC]Intelligent colocation of HPC workloads
• [cs.DC]PerfSim: A Performance Simulator for Cloud Native Computing
• [cs.DC]Wait-free approximate agreement on graphs
• [cs.DC]Workflows Community Summit: Bringing the Scientific Workflows Community Together
• [cs.DL]Two tales of science technology linkage: Patent in-text versus front-page references
• [cs.ET]ARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip
• [cs.IR]A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners
• [cs.IR]Dual Side Deep Context-aware Modulation for Social Recommendation
• [cs.IR]Fairness and Transparency in Recommendation: The Users’ Perspective
• [cs.IR]TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
• [cs.IT]A Semiclassical Proof of Duality Between the Classical BSC and the Quantum PSC
• [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Backscatter Communication
• [cs.IT]Decoding of Variable Length PLH Codes
• [cs.IT]Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication with Statistical CSIT
• [cs.IT]On Bounds for Ring-Based Coding Theory
• [cs.IT]Reconfigurable Intelligent Surface aided Massive MIMO Systems with Low-Resolution DACs
• [cs.IT]STAR: Simultaneous Transmission And Reflection for 360° Coverage by Intelligent Surfaces
• [cs.IT]Vertical Beamforming in Reconfigurable Intelligent Surface-aided Cognitive Radio Networks
• [cs.LG]A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models
• [cs.LG]EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
• [cs.LG]Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
• [cs.LG]GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
• [cs.LG]Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
• [cs.LG]Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
• [cs.LG]Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones
• [cs.LG]Learned Gradient Compression for Distributed Deep Learning
• [cs.LG]Learning to Shape Rewards using a Game of Switching Controls
• [cs.LG]Learning with Feature-Dependent Label Noise: A Progressive Approach
• [cs.LG]Learning without gradient descent encoded by the dynamics of a neurobiological model
• [cs.LG]Lyapunov Barrier Policy Optimization
• [cs.LG]Multi-task learning for virtual flow metering
• [cs.LG]Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations
• [cs.LG]Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer
• [cs.LG]Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
• [cs.LG]Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
• [cs.LG]Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
• [cs.LG]Semi-Supervised Graph-to-Graph Translation
• [cs.LG]TinyOL: TinyML with Online-Learning on Microcontrollers
• [cs.LG]dNNsolve: an efficient NN-based PDE solver
• [cs.NE]HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
• [cs.NE]Training Dynamical Binary Neural Networks with Equilibrium Propagation
• [cs.RO]A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control
• [cs.RO]A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars
• [cs.RO]Analysis of a 3-RUU Parallel Manipulator
• [cs.RO]Autonomous Drone Racing with Deep Reinforcement Learning
• [cs.RO]Behavior-Tree-Based Person Search for Symbiotic Autonomous Mobile Robot Tasks
• [cs.RO]Closed-Loop Error Learning Control for Uncertain Nonlinear Systems With Experimental Validation on a Mobile Robot
• [cs.RO]Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition
• [cs.RO]Combining Planning and Learning of Behavior Trees for Robotic Assembly
• [cs.RO]Design and Development of Autonomous Delivery Robot
• [cs.RO]Distributed motion coordination for multi-robot systems under LTL specifications
• [cs.RO]Few Shot System Identification for Reinforcement Learning
• [cs.RO]Formation Control for UAVs Using a Flux Guided Approach
• [cs.RO]Human-Robot Motion Retargeting via Neural Latent Optimization
• [cs.RO]Inclined Quadrotor Landing using Deep Reinforcement Learning
• [cs.RO]Manipulator-Independent Representations for Visual Imitation
• [cs.RO]Map completion from partial observation using the global structure of multiple environmental maps
• [cs.RO]Mobile Teleoperation: Evaluation of Wireless Wearable Sensing of the Operator’s Arm Motion
• [cs.RO]Multi-Robot Routing with Time Windows: A Column Generation Approach
• [cs.RO]Robotics During a Pandemic: The 2020 NSF CPS Virtual Challenge — SoilScope, Mars Edition
• [cs.RO]Sparse Curriculum Reinforcement Learning for End-to-End Driving
• [cs.RO]Variable compliance and geometry regulation of Soft-Bubble grippers with active pressure control
• [cs.SD]Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning
• [cs.SE]Cost-aware Integration Process Modeling in Multiclouds
• [cs.SE]Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons
• [cs.SE]LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs
• [cs.SE]Please Don’t Go — A Comprehensive Approach to Increase Women’s Participation in Open Source Software
• [cs.SE]Software Architecture for ML-based Systems: What Exists and What Lies Ahead
• [cs.SI]Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy
• [cs.SI]Predicting hyperlinks via hypernetwork loop structure
• [eess.AS]Flow-based Self-supervised Density Estimation for Anomalous Sound Detection
• [eess.IV]Deep Learning for Chest X-ray Analysis: A Survey
• [eess.IV]Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
• [eess.IV]Invertible Residual Network with Regularization for Effective Medical Image Segmentation
• [eess.IV]ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
• [eess.IV]Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation
• [eess.IV]Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography
• [eess.IV]Unsupervised anomaly detection in digital pathology using GANs
• [eess.SP]Data Discover Using Lossless Compression-Based Sparse Representation
• [eess.SP]Graph-Based Multiobject Tracking with Embedded Particle Flow
• [eess.SY]Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering
• [hep-ex]Learning to increase matching efficiency in identifying additional b-jets in the process
• [math.NA]Parareal Neural Networks Emulating a Parallel-in-time Algorithm
• [math.ST]A refined continuity correction for the negative binomial distribution and asymptotics of the median
• [math.ST]Deep learning: a statistical viewpoint
• [math.ST]Extreme value analysis for mixture models with heavy-tailed impurity
• [physics.data-an]Determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information
• [quant-ph]Tomography of time-dependent quantum spin networks with machine learning
• [stat.AP]Effect of social isolation in dengue cases in the state of Sao Paulo, Brazil: an analysis during the COVID-19 pandemic
• [stat.AP]Identification of COVID-19 mortality patterns in Brazil by a functional QR decomposition analysis
• [stat.AP]Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression
• [stat.AP]The role of mobility and sanitary measures on Covid-19 in Costa Rica, March through July 2020
• [stat.ME]A two-way factor model for high-dimensional matrix data
• [stat.ME]Estimation of parameters of the Gumbel type-II distribution under AT-II PHCS with an application of Covid-19 data
• [stat.ME]Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization
• [stat.ME]Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors
• [stat.ME]Incorporating External Data into the Analysis of Clinical Trials via Bayesian Additive Regression Trees
• [stat.ME]Modeling proportion of success in high school leaving examination- A comparative study of Inflated Unit Lindley and Inflated Beta distribution
• [stat.ME]Newcomb-Benford’s law as a fast ersatz of discrepancy measures
• [stat.ME]Rollage: Efficient Rolling Average Algorithm to Estimate ARMA Models for Big Time Series Data
• [stat.ME]Valid sequential inference on probability forecast performance
• [stat.ME]Visualizing Outliers in High Dimensional Functional Data for Task fMRI data exploration
• [stat.ME]Workflow Techniques for the Robust Use of Bayes Factors
• [stat.ML]A Central Limit Theorem for Differentially Private Query Answering
• [stat.ML]Differentiable Learning Under Triage
• [stat.ML]Function approximation by deep neural networks with parameters
• [stat.ML]Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis
• [stat.ML]Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport
·····································
• [cs.AI]Automatic Intent-Slot Induction for Dialogue Systems
Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen
http://arxiv.org/abs/2103.08886v1
• [cs.AI]Category Aware Explainable Conversational Recommendation
Nikolaos Kondylidis, Jie Zou, Evangelos Kanoulas
http://arxiv.org/abs/2103.08733v1
• [cs.AI]Evaluation of a Bi-Directional Methodology for Automated Assessment of Compliance to Continuous Application of Clinical Guidelines, in the Type 2 Diabetes-Management Domain
Avner Hatsek, Irit Hochberg, Deeb Daoud Naccache, Aya Biderman, Yuval Shahar
http://arxiv.org/abs/2103.09031v1
• [cs.AI]KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen
http://arxiv.org/abs/2103.08893v1
• [cs.AI]Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
http://arxiv.org/abs/2103.08228v2
• [cs.AI]Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Jun Wang
http://arxiv.org/abs/2103.07927v1
• [cs.AI]Online Double Oracle
Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou Ammar, Jun Wang
http://arxiv.org/abs/2103.07780v2
• [cs.AI]S: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
Kenny Chour, Sivakumar Rathinam, Ramamoorthi Ravi
http://arxiv.org/abs/2103.08155v2
• [cs.AI]Ternary Hashing
Kam Woh Ng, Chang Liu, Lixin Fan, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
http://arxiv.org/abs/2103.09173v1
• [cs.CL]A Multilingual African Embedding for FAQ Chatbots
Aymen Ben Elhaj Mabrouk, Moez Ben Haj Hmida, Chayma Fourati, Hatem Haddad, Abir Messaoudi
http://arxiv.org/abs/2103.09185v1
• [cs.CL]A Transition-based Parser for Unscoped Episodic Logical Forms
Gene Louis Kim, Viet Duong, Xin Lu, Lenhart Schubert
http://arxiv.org/abs/2103.08759v1
• [cs.CL]Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling
Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich
http://arxiv.org/abs/2103.08955v1
• [cs.CL]Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time
Philipp Wicke, Marianna M. Bolognesi
http://arxiv.org/abs/2103.08952v1
• [cs.CL]Discriminative Learning for Probabilistic Context-Free Grammars based on Generalized H-Criterion
Mauricio Maca, José Miguel Benedí, Joan Andreu Sánchez
http://arxiv.org/abs/2103.08656v1
• [cs.CL]Gumbel-Attention for Multi-modal Machine Translation
Pengbo Liu, Hailong Cao, Tiejun Zhao
http://arxiv.org/abs/2103.08862v1
• [cs.CL]LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval
Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu
http://arxiv.org/abs/2103.08784v1
• [cs.CL]MENYO-20k: A Multi-domain English-Yorùbá Corpus for Machine Translation and Domain Adaptation
David I. Adelani, Dana Ruiter, Jesujoba O. Alabi, Damilola Adebonojo, Adesina Ayeni, Mofe Adeyemi, Ayodele Awokoya, Cristina España-Bonet
http://arxiv.org/abs/2103.08647v1
• [cs.CL]OkwuGbé: End-to-End Speech Recognition for Fon and Igbo
Bonaventure F. P. Dossou, Chris C. Emezue
http://arxiv.org/abs/2103.07762v2
• [cs.CL]Robustly Optimized and Distilled Training for Natural Language Understanding
Haytham ElFadeel, Stan Peshterliev
http://arxiv.org/abs/2103.08809v1
• [cs.CL]Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych
http://arxiv.org/abs/2103.09120v1
• [cs.CL]dictNN: A Dictionary-Enhanced CNN Approach for Classifying Hate Speech on Twitter
Maximilian Kupi, Michael Bodnar, Nikolas Schmidt, Carlos Eduardo Posada
http://arxiv.org/abs/2103.08780v1
• [cs.CR]SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Sylvain Chatel, Apostolos Pyrgelis, Juan Ramon Troncoso-Pastoriza, Jean-Pierre Hubaux
http://arxiv.org/abs/2103.08987v1
• [cs.CR]The Influence of Dropout on Membership Inference in Differentially Private Models
Erick Galinkin
http://arxiv.org/abs/2103.09008v1
• [cs.CV]A Computer Vision System to Help Prevent the Transmission of COVID-19
Fevziye Irem Eyiokur, Hazım Kemal Ekenel, Alexander Waibel
http://arxiv.org/abs/2103.08773v1
• [cs.CV]A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition
Jianbang Liu, Yuqi Fang, Delong Zhu, Nachuan Ma, Jin Pan, Max Q. -H. Meng
http://arxiv.org/abs/2103.09030v1
• [cs.CV]A LiDAR-Guided Framework for Video Enhancement
Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu
http://arxiv.org/abs/2103.08764v1
• [cs.CV]Adversarial Driving: Attacking End-to-End Autonomous Driving Systems
Han Wu, Wenjie Ruan
http://arxiv.org/abs/2103.09151v1
• [cs.CV]Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
Nan Ji, YanFei Feng, Haidong Xie, Xueshuang Xiang, Naijin Liu
http://arxiv.org/abs/2103.08860v1
• [cs.CV]Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee, Eunji Kim, Sungroh Yoon
http://arxiv.org/abs/2103.08896v1
• [cs.CV]BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon
http://arxiv.org/abs/2103.08907v1
• [cs.CV]Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler
http://arxiv.org/abs/2103.09213v1
• [cs.CV]Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Joseph P Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu
http://arxiv.org/abs/2103.09118v1
• [cs.CV]Combining Morphological and Histogram based Text Line Segmentation in the OCR Context
Pit Schneider
http://arxiv.org/abs/2103.08922v1
• [cs.CV]Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection
Chenwei Cui, Liangfu Lu, Zhiyuan Tan, Amir Hussain
http://arxiv.org/abs/2103.09179v1
• [cs.CV]Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification
Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding
http://arxiv.org/abs/2103.09097v1
• [cs.CV]Dense Interaction Learning for Video-based Person Re-identification
Tianyu He, Xin Jin, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
http://arxiv.org/abs/2103.09013v1
• [cs.CV]Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Nikhil Churamani, Ozgur Kara, Hatice Gunes
http://arxiv.org/abs/2103.08637v1
• [cs.CV]EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Qihang Yang, Tao Chen, Jiayuan Fan, Ye Lu, Chongyan Zuo, Qinghua Chi
http://arxiv.org/abs/2103.08914v1
• [cs.CV]Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
Jiaming Li, Hongtao Xie, Jiahong Li, Zhongyuan Wang, Yongdong Zhang
http://arxiv.org/abs/2103.09096v1
• [cs.CV]GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video
Shih-Po Lee, Si-Cun Chen, Wen-Hsiao Peng
http://arxiv.org/abs/2103.08834v1
• [cs.CV]Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
http://arxiv.org/abs/2103.09002v1
• [cs.CV]Is it Enough to Optimize CNN Architectures on ImageNet?
Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
http://arxiv.org/abs/2103.09108v1
• [cs.CV]LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation
Jingdao Chen, Zsolt Kira, Yong K. Cho
http://arxiv.org/abs/2103.09160v1
• [cs.CV]Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition
Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
http://arxiv.org/abs/2103.09154v1
• [cs.CV]Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
Ryan Razani, Ran Cheng, Ehsan Taghavi, Liu Bingbing
http://arxiv.org/abs/2103.08852v1
• [cs.CV]Modulating Localization and Classification for Harmonized Object Detection
Taiheng Zhang, Qiaoyong Zhong, Shiliang Pu, Di Xie
http://arxiv.org/abs/2103.08958v1
• [cs.CV]Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander Hauptmann
http://arxiv.org/abs/2103.08849v1
• [cs.CV]PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao
http://arxiv.org/abs/2103.09009v1
• [cs.CV]QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Chenhongyi Yang, Zehao Huang, Naiyan Wang
http://arxiv.org/abs/2103.09136v1
• [cs.CV]RackLay: Multi-Layer Layout Estimation for Warehouse Racks
Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu, Puru Gupta, Tanvi Karandikar, N. Sai Shankar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
http://arxiv.org/abs/2103.09174v1
• [cs.CV]Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos
http://arxiv.org/abs/2103.08756v1
• [cs.CV]Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
Álvaro Parra, Shin-Fang Chng, Tat-Jun Chin, Anders Eriksson, Ian Reid
http://arxiv.org/abs/2103.08292v2
• [cs.CV]S3Net: 3D LiDAR Sparse Semantic Segmentation Network
Ran Cheng, Ryan Razani, Yuan Ren, Liu Bingbing
http://arxiv.org/abs/2103.08745v1
• [cs.CV]Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers
Hamid Sarmadi, Rafael Muñoz-Salinas, M. A. Berbís, R. Medina-Carnicer
http://arxiv.org/abs/2103.09141v1
• [cs.CV]Skeleton Based Sign Language Recognition Using Whole-body Keypoints
Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu
http://arxiv.org/abs/2103.08833v1
• [cs.CV]Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer, Jürgen Schmidhuber, Joachim M. Buhmann
http://arxiv.org/abs/2103.08877v1
• [cs.CV]Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar
Peike Li, Xin Yu, Yi Yang
http://arxiv.org/abs/2103.08863v1
• [cs.CV]Towards Indirect Top-Down Road Transport Emissions Estimation
Ryan Mukherjee, Derek Rollend, Gordon Christie, Armin Hadzic, Sally Matson, Anshu Saksena, Marisa Hughes
http://arxiv.org/abs/2103.08829v1
• [cs.CV]Track to Detect and Segment: An Online Multi-Object Tracker
Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, Junsong Yuan
http://arxiv.org/abs/2103.08808v1
• [cs.CV]UPANets: Learning from the Universal Pixel Attention Networks
Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yu-Ping Wu, Jia-Yu Shang, Mou-Chung Tseng, Xiao-Jun Zeng
http://arxiv.org/abs/2103.08640v1
• [cs.CY]Data Mining and Visualization to Understand Accident-prone Areas
Md Mashfiq Rizvee, Md Amiruzzaman, Md Rajibul Islam
http://arxiv.org/abs/2103.09062v1
• [cs.CY]OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
http://arxiv.org/abs/2103.09055v1
• [cs.DC]An Efficient Vectorization Scheme for Stencil Computation
Kun Li, Liang Yuan, Yunquan Zhang, Yue Yue, Hang Cao, Pengqi Lu
http://arxiv.org/abs/2103.08825v1
• [cs.DC]Autotuning Benchmarking Techniques: A Roofline Model Case Study
Jacob Odgård Tørring, Jan Christian Meyer, Anne C. Elster
http://arxiv.org/abs/2103.08716v1
• [cs.DC]Byzantine-tolerant Distributed Grow-only Sets: Specification and Applications
Vicent Cholvi, Antonio Fernández Anta, Chryssis Georgiou, Nicolas Nicolaou, Michel Raynal, Antonio Russo
http://arxiv.org/abs/2103.08936v1
• [cs.DC]Distributed Deep Learning Using Volunteer Computing-Like Paradigm
Medha Atre, Birendra Jha, Ashwini Rao
http://arxiv.org/abs/2103.08894v1
• [cs.DC]Improving scalability and reliability of MPI-agnostic transparent checkpointing for production workloads at NERSC
Prashant Singh Chouhan, Harsh Khetawat, Neil Resnik, Twinkle Jain, Rohan Garg, Gene Cooperman, Rebecca Hartman-Baker, Zhengji Zhao
http://arxiv.org/abs/2103.08546v2
• [cs.DC]Intelligent colocation of HPC workloads
Felippe V. Zacarias, Vinicius Petrucci, Rajiv Nishtala, Paul Carpenter, Daniel Mossé
http://arxiv.org/abs/2103.09019v1
• [cs.DC]PerfSim: A Performance Simulator for Cloud Native Computing
Michel Gokan Khan, Javid Taheri, Auday Al-Dulaimy, Andreas Kassler
http://arxiv.org/abs/2103.08983v1
• [cs.DC]Wait-free approximate agreement on graphs
Dan Alistarh, Faith Ellen, Joel Rybicki
http://arxiv.org/abs/2103.08949v1
• [cs.DC]Workflows Community Summit: Bringing the Scientific Workflows Community Together
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong Ahn, Shantenu Jha, Carole Goble, Lavanya Ramakrishnan, Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu Babuji, Rosa M. Badia, Vivien Bonazzi, Taina Coleman, Michael Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Bjorn Gruning, Daniel S. Katz, Olga Kuchar, Ana Kupresanin, Bertram Ludascher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamin Tovar, Matteo Turilli, Thomas Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin Wozniak
http://arxiv.org/abs/2103.09181v1
• [cs.DL]Two tales of science technology linkage: Patent in-text versus front-page references
Jian Wang, Suzan Verberne
http://arxiv.org/abs/2103.08931v1
• [cs.ET]ARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip
Febin Sunny, Asif Mirza, Ishan Thakkar, Mahdi Nikdast, Sudeep Pasricha
http://arxiv.org/abs/2103.08828v1
• [cs.IR]A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners
Bangchao Wang, Ziyang Weng, Yanping Wang
http://arxiv.org/abs/2103.08819v1
• [cs.IR]Dual Side Deep Context-aware Modulation for Social Recommendation
Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, Jiajun Chen
http://arxiv.org/abs/2103.08976v1
• [cs.IR]Fairness and Transparency in Recommendation: The Users’ Perspective
Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
http://arxiv.org/abs/2103.08786v1
• [cs.IR]TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
Jianqing Zhang, Dongjing Wang, Dongjin Yu
http://arxiv.org/abs/2103.08971v1
• [cs.IT]A Semiclassical Proof of Duality Between the Classical BSC and the Quantum PSC
Narayanan Rengaswamy, Henry D. Pfister
http://arxiv.org/abs/2103.09225v1
• [cs.IT]Channel Estimation for Intelligent Reflecting Surface Assisted Backscatter Communication
Samith Abeywickrama, Changsheng You, Rui Zhang, Chau Yuen
http://arxiv.org/abs/2103.08836v1
• [cs.IT]Decoding of Variable Length PLH Codes
Marco Morini, Alessandro Ugolini, Giulio Colavolpe
http://arxiv.org/abs/2103.08991v1
• [cs.IT]Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication with Statistical CSIT
Jun Zhang, Jie Liu, Shaodan Ma, Chao-Kai Wen, Shi Jin
http://arxiv.org/abs/2103.09161v1
• [cs.IT]On Bounds for Ring-Based Coding Theory
Niklas Gassner, Marcus Greferath, Joachim Rosenthal, Violetta Weger
http://arxiv.org/abs/2103.07749v2
• [cs.IT]Reconfigurable Intelligent Surface aided Massive MIMO Systems with Low-Resolution DACs
Jianxin Dai, Yuanyuan Wang, Cunhua Pan, Kangda Zhi, Hong Ren, Kezhi Wang
http://arxiv.org/abs/2103.08871v1
• [cs.IT]STAR: Simultaneous Transmission And Reflection for 360° Coverage by Intelligent Surfaces
Yuanwei Liu, Xidong Mu, Jiaqi Xu, Robert Schober, Yang Hao, H. Vincent Poor, Lajos Hanzo
http://arxiv.org/abs/2103.09104v1
• [cs.IT]Vertical Beamforming in Reconfigurable Intelligent Surface-aided Cognitive Radio Networks
S. Fatemeh Zamanian, S. Mohammad Razavizadeh, Qingqing Wu
http://arxiv.org/abs/2103.08900v1
• [cs.LG]A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models
Jiaxin Zhang, Sirui Bi, Guannan Zhang
http://arxiv.org/abs/2103.08594v1
• [cs.LG]EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang
http://arxiv.org/abs/2103.08820v1
• [cs.LG]Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Lisa Schut, Oscar Key, Rory McGrath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal
http://arxiv.org/abs/2103.08951v1
• [cs.LG]GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao, Xiang Zhang, Suhang Wang
http://arxiv.org/abs/2103.08826v1
• [cs.LG]Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
Shyam Sudhakaran, Djordje Grbic, Siyan Li, Adam Katona, Elias Najarro, Claire Glanois, Sebastian Risi
http://arxiv.org/abs/2103.08737v1
• [cs.LG]Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
Yuji Takubo, Hao Chen, Koki Ho
http://arxiv.org/abs/2103.08981v1
• [cs.LG]Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones
Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos
http://arxiv.org/abs/2103.09171v1
• [cs.LG]Learned Gradient Compression for Distributed Deep Learning
Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
http://arxiv.org/abs/2103.08870v1
• [cs.LG]Learning to Shape Rewards using a Game of Switching Controls
David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez-Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
http://arxiv.org/abs/2103.09159v1
• [cs.LG]Learning with Feature-Dependent Label Noise: A Progressive Approach
Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
http://arxiv.org/abs/2103.07756v2
• [cs.LG]Learning without gradient descent encoded by the dynamics of a neurobiological model
Vivek Kurien George, Vikash Morar, Weiwei Yang, Jonathan Larson, Bryan Tower, Shweti Mahajan, Arkin Gupta, Christopher White, Gabriel A. Silva
http://arxiv.org/abs/2103.08878v1
• [cs.LG]Lyapunov Barrier Policy Optimization
Harshit Sikchi, Wenxuan Zhou, David Held
http://arxiv.org/abs/2103.09230v1
• [cs.LG]Multi-task learning for virtual flow metering
Anders T. Sandnes, Bjarne Grimstad, Odd Kolbjørnsen
http://arxiv.org/abs/2103.08713v1
• [cs.LG]Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations
Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernandez-Leo, Veronica Moreno Oliver
http://arxiv.org/abs/2103.09068v1
• [cs.LG]Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer
Sajjad Fouladvand, Jeffery Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Ramakanth Kavuluru, Jin Chen
http://arxiv.org/abs/2103.08800v1
• [cs.LG]Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
http://arxiv.org/abs/2103.09027v1
• [cs.LG]Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
http://arxiv.org/abs/2103.08933v1
• [cs.LG]Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
Jannik Schmitt, Stefan Roth
http://arxiv.org/abs/2103.08497v2
• [cs.LG]Semi-Supervised Graph-to-Graph Translation
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
http://arxiv.org/abs/2103.08827v1
• [cs.LG]TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren, Darko Anicic, Thomas Runkler
http://arxiv.org/abs/2103.08295v2
• [cs.LG]dNNsolve: an efficient NN-based PDE solver
Veronica Guidetti, Francesco Muia, Yvette Welling, Alexander Westphal
http://arxiv.org/abs/2103.08662v1
• [cs.NE]HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
http://arxiv.org/abs/2103.08668v1
• [cs.NE]Training Dynamical Binary Neural Networks with Equilibrium Propagation
Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
http://arxiv.org/abs/2103.08953v1
• [cs.RO]A New Autoregressive Neural Network Model with Command Compensation for Imitation Learning Based on Bilateral Control
Kazuki Hayashi, Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji
http://arxiv.org/abs/2103.08879v1
• [cs.RO]A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars
Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin
http://arxiv.org/abs/2103.07908v2
• [cs.RO]Analysis of a 3-RUU Parallel Manipulator
Thomas Stigger, Johannes Siegele, Daniel F. Scharler, Martin Pfurner, Manfred L. Husty
http://arxiv.org/abs/2103.09037v1
• [cs.RO]Autonomous Drone Racing with Deep Reinforcement Learning
Yunlong Song, Mats Steinweg, Elia Kaufmann, Davide Scaramuzza
http://arxiv.org/abs/2103.08624v1
• [cs.RO]Behavior-Tree-Based Person Search for Symbiotic Autonomous Mobile Robot Tasks
Marvin Stuede, Timo Lerche, Martin Alexander Petersen, Svenja Spindeldreier
http://arxiv.org/abs/2103.09162v1
• [cs.RO]Closed-Loop Error Learning Control for Uncertain Nonlinear Systems With Experimental Validation on a Mobile Robot
Erkan Kayacan
http://arxiv.org/abs/2103.08845v1
• [cs.RO]Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition
Jonas Gonzalez-Billandon, Giulia Belgiovine, Alessandra Sciutti, Giulio Sandini, Francesco Rea
http://arxiv.org/abs/2103.09072v1
• [cs.RO]Combining Planning and Learning of Behavior Trees for Robotic Assembly
Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
http://arxiv.org/abs/2103.09036v1
• [cs.RO]Design and Development of Autonomous Delivery Robot
Aniket Gujarathi, Akshay Kulkarni, Unmesh Patil, Yogesh Phalak, Rajeshree Deotalu, Aman Jain, Navid Panchi, Ashwin Dhabale, Shital Chiddarwar
http://arxiv.org/abs/2103.09229v1
• [cs.RO]Distributed motion coordination for multi-robot systems under LTL specifications
Pian Yu, Dimos V. Dimarogonas
http://arxiv.org/abs/2103.09111v1
• [cs.RO]Few Shot System Identification for Reinforcement Learning
Karim Farid, Nourhan Sakr
http://arxiv.org/abs/2103.08850v1
• [cs.RO]Formation Control for UAVs Using a Flux Guided Approach
John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang, Subramanian Ramamoorthy
http://arxiv.org/abs/2103.09184v1
• [cs.RO]Human-Robot Motion Retargeting via Neural Latent Optimization
Haodong Zhang, Weijie Li, Yuwei Liang, Zexi Chen, Yuxiang Cui, Yue Wang, Rong Xiong
http://arxiv.org/abs/2103.08882v1
• [cs.RO]Inclined Quadrotor Landing using Deep Reinforcement Learning
Jacob E. Kooi, Robert Babuška
http://arxiv.org/abs/2103.09043v1
• [cs.RO]Manipulator-Independent Representations for Visual Imitation
Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis
http://arxiv.org/abs/2103.09016v1
• [cs.RO]Map completion from partial observation using the global structure of multiple environmental maps
Yuki Katsumata, Akinori Kanechika, Akira Taniguchi, Lotfi El Hafi, Yoshinobu Hagiwara, Tadahiro Taniguchi
http://arxiv.org/abs/2103.09071v1
• [cs.RO]Mobile Teleoperation: Evaluation of Wireless Wearable Sensing of the Operator’s Arm Motion
Guanhao Fu, Ehsan Azimi, Peter Kazanzides
http://arxiv.org/abs/2103.08119v1
• [cs.RO]Multi-Robot Routing with Time Windows: A Column Generation Approach
Naveed Haghani, Jiaoyang Li, Sven Koenig, Gautam Kunapuli, Claudio Contardo, Amelia Regan, Julian Yarkony
http://arxiv.org/abs/2103.08835v1
• [cs.RO]Robotics During a Pandemic: The 2020 NSF CPS Virtual Challenge — SoilScope, Mars Edition
Darwin Mick, K. Srikar Siddarth, Swastik Nandan, Harish Anand, Stephen A. Rees, Jnaneshwar Das
http://arxiv.org/abs/2103.08684v1
• [cs.RO]Sparse Curriculum Reinforcement Learning for End-to-End Driving
Pranav Agarwal, Pierre de Beaucorps, Raoul de Charette
http://arxiv.org/abs/2103.09189v1
• [cs.RO]Variable compliance and geometry regulation of Soft-Bubble grippers with active pressure control
Sihah Joonhigh, Naveen Kuppuswamy, Andrew Beaulieu, Alex Alspach, Russ Tedrake
http://arxiv.org/abs/2103.08710v1
• [cs.SD]Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning
Jama Hussein Mohamud, Lloyd Acquaye Thompson, Aissatou Ndoye, Laurent Besacier
http://arxiv.org/abs/2103.08993v1
• [cs.SE]Cost-aware Integration Process Modeling in Multiclouds
Daniel Ritter
http://arxiv.org/abs/2103.08675v1
• [cs.SE]Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons
Ya Xiao, Salman Ahmed, Wenjia Song, Xinyang Ge, Bimal Viswanath, Danfeng, Yao
http://arxiv.org/abs/2103.08747v1
• [cs.SE]LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs
Cezar Sas, Andrea Capiluppi
http://arxiv.org/abs/2103.08890v1
• [cs.SE]Please Don’t Go — A Comprehensive Approach to Increase Women’s Participation in Open Source Software
Bianca Trinkenreich
http://arxiv.org/abs/2103.08763v1
• [cs.SE]Software Architecture for ML-based Systems: What Exists and What Lies Ahead
Henry Muccini, Karthik Vaidhyanathan
http://arxiv.org/abs/2103.07950v2
• [cs.SI]Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy
Arthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, André Panisson, Daniela Paolotti
http://arxiv.org/abs/2103.09224v1
• [cs.SI]Predicting hyperlinks via hypernetwork loop structure
Liming Pan, Hui-Juan Shang, Peiyan Li, Haixing Dai, Wei Wang, Lixin Tian
http://arxiv.org/abs/2103.08926v1
• [eess.AS]Flow-based Self-supervised Density Estimation for Anomalous Sound Detection
Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi
http://arxiv.org/abs/2103.08801v1
• [eess.IV]Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu, Erdi Çallı, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy
http://arxiv.org/abs/2103.08700v1
• [eess.IV]Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu
http://arxiv.org/abs/2103.08741v1
• [eess.IV]Invertible Residual Network with Regularization for Effective Medical Image Segmentation
Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le
http://arxiv.org/abs/2103.09042v1
• [eess.IV]ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data
Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck
http://arxiv.org/abs/2103.09203v1
• [eess.IV]Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation
Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding
http://arxiv.org/abs/2103.09094v1
• [eess.IV]Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography
Hyungjin Chung, Jaeyoung Huh, Geon Kim, Yong Keun Park, Jong Chul Ye
http://arxiv.org/abs/2103.09022v1
• [eess.IV]Unsupervised anomaly detection in digital pathology using GANs
Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström
http://arxiv.org/abs/2103.08945v1
• [eess.SP]Data Discover Using Lossless Compression-Based Sparse Representation
Elyas Sabeti, Peter X. K. Song, Alfred O. Hero III
http://arxiv.org/abs/2103.08765v1
• [eess.SP]Graph-Based Multiobject Tracking with Embedded Particle Flow
Wenyu Zhang, Florian Meyer
http://arxiv.org/abs/2103.08968v1
• [eess.SY]Data-driven Thermal Anomaly Detection for Batteries using Unsupervised Shape Clustering
Xiaojun Li, Jianwei Li, Ali Abdollahi, Trevor Jones, Asif Habeebullah
http://arxiv.org/abs/2103.08796v1
• [hep-ex]Learning to increase matching efficiency in identifying additional b-jets in the process
Cheongjae Jang, Sang-Kyun Ko, Yung-Kyun Noh, Jieun Choi, Jongwon Lim, Tae Jeong Kim
http://arxiv.org/abs/2103.09129v1
• [math.NA]Parareal Neural Networks Emulating a Parallel-in-time Algorithm
Chang-Ock Lee, Youngkyu Lee, Jongho Park
http://arxiv.org/abs/2103.08802v1
• [math.ST]A refined continuity correction for the negative binomial distribution and asymptotics of the median
Frédéric Ouimet
http://arxiv.org/abs/2103.08846v1
• [math.ST]Deep learning: a statistical viewpoint
Peter L. Bartlett, Andrea Montanari, Alexander Rakhlin
http://arxiv.org/abs/2103.09177v1
• [math.ST]Extreme value analysis for mixture models with heavy-tailed impurity
Vladimir Panov, Ekaterina Morozova
http://arxiv.org/abs/2103.07689v2
• [physics.data-an]Determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information
James H. Durant, Lucas Wilkins, Keith Butler, Joshaniel F. K. Cooper
http://arxiv.org/abs/2103.08973v1
• [quant-ph]Tomography of time-dependent quantum spin networks with machine learning
Chen-Di Han, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
http://arxiv.org/abs/2103.08645v1
• [stat.AP]Effect of social isolation in dengue cases in the state of Sao Paulo, Brazil: an analysis during the COVID-19 pandemic
Gleice Margarete de Souza Conceição, Gerson Laurindo Barbosa, Camila Lorenz, Ana Carolina Dias Bocewicz, Lidia Maria Reis Santana, Cristiano Corrêa de Azevedo Marques, Francisco Chiaravalloti-Neto
http://arxiv.org/abs/2103.08669v1
• [stat.AP]Identification of COVID-19 mortality patterns in Brazil by a functional QR decomposition analysis
Jorge C. Lucero
http://arxiv.org/abs/2103.08794v1
• [stat.AP]Modeling Weather-induced Home Insurance Risks with Support Vector Machine Regression
Asim K. Dey, Vyacheslav Lyubchich, Yulia R. Gel
http://arxiv.org/abs/2103.08761v1
• [stat.AP]The role of mobility and sanitary measures on Covid-19 in Costa Rica, March through July 2020
Luis A. Barboza, Paola Vásquez, Gustavo Mery, Fabio Sanchez, Yury E. García, Juan G. Calvo, Tania Rivas, Daniel Salas
http://arxiv.org/abs/2103.08732v1
• [stat.ME]A two-way factor model for high-dimensional matrix data
Gao Zhigen, Yuan Chaofeng, Jing Bingyi, Huang Wei, Guo Jianhua
http://arxiv.org/abs/2103.07920v2
• [stat.ME]Estimation of parameters of the Gumbel type-II distribution under AT-II PHCS with an application of Covid-19 data
Subhankar Dutta, Suchandan Kayal
http://arxiv.org/abs/2103.08641v1
• [stat.ME]Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization
Jian-Feng Cai, Jingyang Li, Dong Xia
http://arxiv.org/abs/2103.08895v1
• [stat.ME]Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors
Jacob Vorstrup Goldman, Torben Sell, Sumeetpal Sidhu Singh
http://arxiv.org/abs/2103.09017v1
• [stat.ME]Incorporating External Data into the Analysis of Clinical Trials via Bayesian Additive Regression Trees
Tianjian Zhou, Yuan Ji
http://arxiv.org/abs/2103.08754v1
• [stat.ME]Modeling proportion of success in high school leaving examination- A comparative study of Inflated Unit Lindley and Inflated Beta distribution
Subrata Chakraborty, Sahana Bhattacharjee
http://arxiv.org/abs/2103.08916v1
• [stat.ME]Newcomb-Benford’s law as a fast ersatz of discrepancy measures
Pamphile T. Roy
http://arxiv.org/abs/2103.08705v1
• [stat.ME]Rollage: Efficient Rolling Average Algorithm to Estimate ARMA Models for Big Time Series Data
Ali Eshragh, Glen Livingston, Thomas McCarthy McCann, Luke Yerbury
http://arxiv.org/abs/2103.09175v1
• [stat.ME]Valid sequential inference on probability forecast performance
Alexander Henzi, Johanna F. Ziegel
http://arxiv.org/abs/2103.08402v2
• [stat.ME]Visualizing Outliers in High Dimensional Functional Data for Task fMRI data exploration
Yasser Aleman-Gomez, Ana Arribas-Gil, Manuel Desco, Antonio Elias-Fernandez, Juan Romo
http://arxiv.org/abs/2103.08874v1
• [stat.ME]Workflow Techniques for the Robust Use of Bayes Factors
Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, Shravan Vasishth
http://arxiv.org/abs/2103.08744v1
• [stat.ML]A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong, Weijie J. Su, Linjun Zhang
http://arxiv.org/abs/2103.08721v1
• [stat.ML]Differentiable Learning Under Triage
Nastaran Okati, Abir De, Manuel Gomez-Rodriguez
http://arxiv.org/abs/2103.08902v1
• [stat.ML]Function approximation by deep neural networks with parameters
Aleksandr Beknazaryan
http://arxiv.org/abs/2103.08659v1
• [stat.ML]Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis
Arun K. Sharma, Nishchal K. Verma
http://arxiv.org/abs/2103.08889v1
• [stat.ML]Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport
Shoaib Bin Masud, Boyang Lyu, Shuchin Aeron
http://arxiv.org/abs/2103.08811v1