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.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.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.IV - 图像与视频处理 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
• [cs.AI]CoCoMoT: Conformance Checking of Multi-Perspective Processes via SMT (Extended Version)
• [cs.AI]Computational Emotion Analysis From Images: Recent Advances and Future Directions
• [cs.AI]From driving automation systems to autonomous vehicles: clarifying the terminology
• [cs.AI]Knowledge-Based Hierarchical POMDPs for Task Planning
• [cs.AI]Lessons Learned from Educating AI Engineers
• [cs.AI]Massively parallel hybrid search for the partial Latin square extension problem
• [cs.AI]Semantic Contextual Reasoning to Provide Human Behavior
• [cs.AI]Transferable Model for Shape Optimization subject to Physical Constraints
• [cs.AI]White Paper Machine Learning in Certified Systems
• [cs.CL]Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation
• [cs.CL]Attention-based model for predicting question relatedness on Stack Overflow
• [cs.CL]Congolese Swahili Machine Translation for Humanitarian Response
• [cs.CL]Controllable Generation from Pre-trained Language Models via Inverse Prompting
• [cs.CL]Cost-effective Deployment of BERT Models in Serverless Environment
• [cs.CL]Extractive Summarization of Call Transcripts
• [cs.CL]Gender and Racial Fairness in Depression Research using Social Media
• [cs.CL]Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation
• [cs.CL]MuRIL: Multilingual Representations for Indian Languages
• [cs.CL]Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation
• [cs.CL]Pretraining the Noisy Channel Model for Task-Oriented Dialogue
• [cs.CR]Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine Learning
• [cs.CR]SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems
• [cs.CV]3D Human Pose Estimation with Spatial and Temporal Transformers
• [cs.CV]CE-FPN: Enhancing Channel Information for Object Detection
• [cs.CV]Carton dataset synthesis based on foreground texture replacement
• [cs.CV]ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
• [cs.CV]ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
• [cs.CV]Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
• [cs.CV]CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
• [cs.CV]DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning
• [cs.CV]Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement
• [cs.CV]Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures
• [cs.CV]GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
• [cs.CV]Improving Image co-segmentation via Deep Metric Learning
• [cs.CV]LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
• [cs.CV]Learning Multiscale Correlations for Human Motion Prediction
• [cs.CV]Learning the Superpixel in a Non-iterative and Lifelong Manner
• [cs.CV]MDMMT: Multidomain Multimodal Transformer for Video Retrieval
• [cs.CV]Paint by Word
• [cs.CV]Recent Advances in Deep Learning Techniques for Face Recognition
• [cs.CV]Robustness via Cross-Domain Ensembles
• [cs.CV]Scalable Visual Transformers with Hierarchical Pooling
• [cs.CV]Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
• [cs.CV]Skeleton Merger: an Unsupervised Aligned Keypoint Detector
• [cs.CV]Tf-GCZSL: Task-Free Generalized Continual Zero-Shot Learning
• [cs.CV]There and Back Again: Self-supervised Multispectral Correspondence Estimation
• [cs.CV]Toward Compact Deep Neural Networks via Energy-Aware Pruning
• [cs.CV]UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
• [cs.CV]XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
• [cs.CY]Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective
• [cs.CY]The evolving ecosystem of COVID-19 contact tracing applications
• [cs.DC]Back to the Coordinated Attack Problem
• [cs.DC]Enabling OpenMP Task Parallelism on Multi-FPGAs
• [cs.DC]Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
• [cs.DC]PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace
• [cs.DC]Panconnectivity Algorithm for Eisenstein-Jacobi Networks
• [cs.DC]Performance Analysis of Deep Learning Workloads on a Composable System
• [cs.DC]Tools and Algorithms for SoC Communication Traces
• [cs.DL]Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities
• [cs.HC]How Social Are Social Media The Dark Patterns In Facebook’s Interface
• [cs.IR]Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
• [cs.IR]Detecting and Understanding Branching Frequency Changes in Process Models
• [cs.IR]Discovering Redundant Activities in Event Logs for the Simplification of Process Models
• [cs.IR]Dynamic Model for Query-Document Expansion towards Improving Retrieval Relevance
• [cs.IR]EXSCLAIM! — An automated pipeline for the construction of labeled materials imaging datasets from literature
• [cs.IT]A new method for constructing linear codes with small hulls
• [cs.IT]Bhattacharyya parameter of monomials codes for the Binary Erasure Channel: from pointwise to average reliability
• [cs.IT]Low-Complexity Dynamic Resource Scheduling for Downlink MC-NOMA Over Fading Channels
• [cs.IT]Zero-Delay Lossy Coding of Linear Vector Markov Sources: Optimality of Stationary Codes and Near Optimality of Finite Memory Codes
• [cs.LG]Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms
• [cs.LG]Bilinear Classes: A Structural Framework for Provable Generalization in RL
• [cs.LG]Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning
• [cs.LG]Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data
• [cs.LG]Data driven algorithms for limited labeled data learning
• [cs.LG]Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
• [cs.LG]Enhancing Robustness of On-line Learning Models on Highly Noisy Data
• [cs.LG]Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP
• [cs.LG]Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting
• [cs.LG]HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
• [cs.LG]Hidden Technical Debts for Fair Machine Learning in Financial Services
• [cs.LG]Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond
• [cs.LG]Joint Parameter Discovery and Generative Modeling of Dynamic Systems
• [cs.LG]Knowledge-Guided Object Discovery with Acquired Deep Impressions
• [cs.LG]Landscape analysis for shallow ReLU neural networks: complete classification of critical points for affine target functions
• [cs.LG]Lossless compression with state space models using bits back coding
• [cs.LG]Masked Conditional Random Fields for Sequence Labeling
• [cs.LG]MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
• [cs.LG]Noise Modulation: Let Your Model Interpret Itself
• [cs.LG]Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
• [cs.LG]Prediction of progressive lens performance from neural network simulations
• [cs.LG]QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
• [cs.LG]Reading Isn’t Believing: Adversarial Attacks On Multi-Modal Neurons
• [cs.LG]The Shape of Learning Curves: a Review
• [cs.LG]Training image classifiers using Semi-Weak Label Data
• [cs.LG]Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations
• [cs.NE]PAMELI: A Meta-Algorithm for Computationally Expensive Multi-Objective Optimization Problems
• [cs.NE]Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
• [cs.RO]6-DOF Feature based LIDAR SLAM using ORB Features from Rasterized Images of 3D LIDAR Point Cloud
• [cs.RO]A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile Robots
• [cs.RO]Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation
• [cs.RO]AutoTune: Controller Tuning for High-Speed Flight
• [cs.RO]Dynamic Grasping with Reachability and Motion Awareness
• [cs.RO]Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
• [cs.RO]Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
• [cs.RO]Generalizing Object-Centric Task-Axes Controllers using Keypoints
• [cs.RO]IA Planner: Motion Planning Using Instantaneous Analysis for Autonomous Vehicle in the Dense Dynamic Scenarios on Highways
• [cs.RO]Simulation Platform for Autonomous Aerial Manipulation in Dynamic Environments
• [cs.RO]SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing
• [cs.SD]USTC-NELSLIP System Description for DIHARD-III Challenge
• [cs.SE]API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations
• [cs.SE]Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
• [cs.SE]Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists
• [cs.SI]”Do You Know You Are Tracked by Photos That You Didn’t Take”: Location-Aware Multi-Party Image Privacy Protection
• [cs.SI]Evolution of Retweet Rates in Twitter User Careers: Analysis and Model
• [cs.SI]GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
• [eess.IV]Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
• [eess.IV]Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
• [eess.IV]Variational Knowledge Distillation for Disease Classification in Chest X-Rays
• [math.OC]Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows
• [math.OC]Towards a Dimension-Free Understanding of Adaptive Linear Control
• [math.ST]Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
• [math.ST]Nonparametric and high-dimensional functional graphical models
• [math.ST]Refined Least Squares for Support Recovery
• [math.ST]Stationary underdispersed INAR(1) models based on the backward approach
• [math.ST]The effect of Informative Selection on the estimation of parameters related to Spatial Processes
• [math.ST]The reference distributions of Maurer’s universal statistical test and its improved tests
• [physics.soc-ph]Emergence of Structural Inequalities in Scientific Citation Networks
• [q-bio.GN]Sequencing by Emergence: Modeling and Estimation
• [q-bio.PE]Quantifying the overall effect of biotic interactions on species communities along environmental gradients
• [stat.AP]Comments on “Factors associated with the spatial heterogeneity of the first wave of COVID-19 in France: a nationwide geo-epidemiological study” by Gaudart et al
• [stat.AP]Deepening Lee-Carter for longevity projections with uncertainty estimation
• [stat.AP]On Spurious Causality, CO2, and Global Temperature
• [stat.AP]Predicting Covid-19 EMS Incidents from Daily Hospitalization Trends
• [stat.CO]Scalable computation for Bayesian hierarchical models
• [stat.ME]A unified framework for weighted parametric group sequential design (WPGSD)
• [stat.ME]Estimation and false discovery control for the analysis of environmental mixtures
• [stat.ME]Graphical Test for Discrete Uniformity and its Applications in Goodness of Fit Evaluation and Multiple Sample Comparison
• [stat.ME]Maximum Likelihood Recursive State Estimation using the Expectation Maximization Algorithm
• [stat.ME]Order selection with confidence for finite mixture models
• [stat.ME]Recognizing a Spatial Extreme dependence structure: A Deep Learning approach
• [stat.ME]Robust penalized empirical likelihood in high dimensional longitudinal data analysis
• [stat.ME]Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
• [stat.ML]Inductive Inference in Supervised Classification
• [stat.ML]Sparse Algorithms for Markovian Gaussian Processes
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• [cs.AI]BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Yun Zhao, Qinghang Hong, Xinlu Zhang, Yu Deng, Yuqing Wang, Linda Petzold
http://arxiv.org/abs/2103.10928v1
• [cs.AI]CoCoMoT: Conformance Checking of Multi-Perspective Processes via SMT (Extended Version)
Paolo Felli, Alessandro Gianola, Marco Montali, Andrey Rivkin, Sarah Winkler
http://arxiv.org/abs/2103.10507v1
• [cs.AI]Computational Emotion Analysis From Images: Recent Advances and Future Directions
Sicheng Zhao, Quanwei Huang, Youbao Tang, Xingxu Yao, Jufeng Yang, Guiguang Ding, Björn W. Schuller
http://arxiv.org/abs/2103.10798v1
• [cs.AI]From driving automation systems to autonomous vehicles: clarifying the terminology
David Fernández Llorca
http://arxiv.org/abs/2103.10844v1
• [cs.AI]Knowledge-Based Hierarchical POMDPs for Task Planning
Sergio A. Serrano, Elizabeth Santiago, Jose Martinez-Carranza, Eduardo Morales, L. Enrique Sucar
http://arxiv.org/abs/2103.10642v1
• [cs.AI]Lessons Learned from Educating AI Engineers
Petra Heck, Gerard Schouten
http://arxiv.org/abs/2103.10703v1
• [cs.AI]Massively parallel hybrid search for the partial Latin square extension problem
Olivier Goudet, Jin-Kao Hao
http://arxiv.org/abs/2103.10453v1
• [cs.AI]Semantic Contextual Reasoning to Provide Human Behavior
Sarika Jain, Archana Patel
http://arxiv.org/abs/2103.10694v1
• [cs.AI]Transferable Model for Shape Optimization subject to Physical Constraints
Lukas Harsch, Johannes Burgbacher, Stefan Riedelbauch
http://arxiv.org/abs/2103.10805v1
• [cs.AI]White Paper Machine Learning in Certified Systems
Hervé Delseny, Christophe Gabreau, Adrien Gauffriau, Bernard Beaudouin, Ludovic Ponsolle, Lucian Alecu, Hugues Bonnin, Brice Beltran, Didier Duchel, Jean-Brice Ginestet, Alexandre Hervieu, Ghilaine Martinez, Sylvain Pasquet, Kevin Delmas, Claire Pagetti, Jean-Marc Gabriel, Camille Chapdelaine, Sylvaine Picard, Mathieu Damour, Cyril Cappi, Laurent Gardès, Florence De Grancey, Eric Jenn, Baptiste Lefevre, Gregory Flandin, Sébastien Gerchinovitz, Franck Mamalet, Alexandre Albore
http://arxiv.org/abs/2103.10529v1
• [cs.CL]Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation
Christiaan Jacobs, Yevgen Matusevych, Herman Kamper
http://arxiv.org/abs/2103.10731v1
• [cs.CL]Attention-based model for predicting question relatedness on Stack Overflow
Jiayan Pei, Yimin wu, Zishan Qin, Yao Cong, Jingtao Guan
http://arxiv.org/abs/2103.10763v1
• [cs.CL]Congolese Swahili Machine Translation for Humanitarian Response
Alp Öktem, Eric DeLuca, Rodrigue Bashizi, Eric Paquin, Grace Tang
http://arxiv.org/abs/2103.10734v1
• [cs.CL]Controllable Generation from Pre-trained Language Models via Inverse Prompting
Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
http://arxiv.org/abs/2103.10685v1
• [cs.CL]Cost-effective Deployment of BERT Models in Serverless Environment
Katarína Benešová, Andrej Švec, Marek Šuppa
http://arxiv.org/abs/2103.10673v1
• [cs.CL]Extractive Summarization of Call Transcripts
Pratik K. Biswas, Aleksandr Iakubovich
http://arxiv.org/abs/2103.10599v1
• [cs.CL]Gender and Racial Fairness in Depression Research using Social Media
Carlos Aguirre, Keith Harrigian, Mark Dredze
http://arxiv.org/abs/2103.10550v1
• [cs.CL]Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation
Alexandra Chronopoulou, Dario Stojanovski, Alexander Fraser
http://arxiv.org/abs/2103.10531v1
• [cs.CL]MuRIL: Multilingual Representations for Indian Languages
Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, Shruti Gupta, Subhash Chandra Bose Gali, Vish Subramanian, Partha Talukdar
http://arxiv.org/abs/2103.10730v1
• [cs.CL]Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation
Nicholas Egan, Oleg Vasilyev, John Bohannon
http://arxiv.org/abs/2103.10918v1
• [cs.CL]Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom
http://arxiv.org/abs/2103.10518v1
• [cs.CR]Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine Learning
Srivalli Boddupalli, Akash Someshwar Rao, Sandip Ray
http://arxiv.org/abs/2103.10533v1
• [cs.CR]SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems
Yuxuan Chen, Jiangshan Zhang, Xuejing Yuan, Shengzhi Zhang, Kai Chen, Xiaofeng Wang, Shanqing Guo
http://arxiv.org/abs/2103.10651v1
• [cs.CV]3D Human Pose Estimation with Spatial and Temporal Transformers
Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
http://arxiv.org/abs/2103.10455v1
• [cs.CV]CE-FPN: Enhancing Channel Information for Object Detection
Yihao Luo, Xiang Cao, Juntao Zhang, Xiang Cao, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
http://arxiv.org/abs/2103.10643v1
• [cs.CV]Carton dataset synthesis based on foreground texture replacement
Lijun Gou, Shengkai Wu, Jinrong Yang, Hangcheng Yu, Linchen Xi, Xiaoping Li, Chao Deng
http://arxiv.org/abs/2103.10738v1
• [cs.CV]ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
Chen Liang, Yu Wu, Yawei Luo, Yi Yang
http://arxiv.org/abs/2103.10702v1
• [cs.CV]ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane d’Ascoli, Hugo Touvron, Matthew Leavitt, Ari Morcos, Giulio Biroli, Levent Sagun
http://arxiv.org/abs/2103.10697v1
• [cs.CV]Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval
Dimitri Gominski, Valérie Gouet-Brunet, Liming Chen
http://arxiv.org/abs/2103.10729v1
• [cs.CV]CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle
http://arxiv.org/abs/2103.10796v1
• [cs.CV]DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning
Bonan Li, Xuecheng Nie, Congying Han
http://arxiv.org/abs/2103.10764v1
• [cs.CV]Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement
Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Xiao Wang, Yansheng Qiu, Chen Chen, Chia-Wen Lin
http://arxiv.org/abs/2103.10621v1
• [cs.CV]Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
http://arxiv.org/abs/2103.10592v1
• [cs.CV]GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
Aadhithya Sankar, Matthias Keicher, Rami Eisawy, Abhijeet Parida, Franz Pfister, Seong Tae Kim, Nassir Navab
http://arxiv.org/abs/2103.10868v1
• [cs.CV]Improving Image co-segmentation via Deep Metric Learning
Zhengwen Li, Xiabi Liu
http://arxiv.org/abs/2103.10670v1
• [cs.CV]LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian
http://arxiv.org/abs/2103.10787v1
• [cs.CV]Learning Multiscale Correlations for Human Motion Prediction
Honghong Zhou, Caili Guo, Hao Zhang, Yanjun Wang
http://arxiv.org/abs/2103.10674v1
• [cs.CV]Learning the Superpixel in a Non-iterative and Lifelong Manner
Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu
http://arxiv.org/abs/2103.10681v1
• [cs.CV]MDMMT: Multidomain Multimodal Transformer for Video Retrieval
Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko
http://arxiv.org/abs/2103.10699v1
• [cs.CV]Paint by Word
David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba
http://arxiv.org/abs/2103.10951v1
• [cs.CV]Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-rakhami, Abdu Gumae, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam
http://arxiv.org/abs/2103.10492v1
• [cs.CV]Robustness via Cross-Domain Ensembles
Teresa Yeo, Oğuzhan Fatih Kar, Amir Zamir
http://arxiv.org/abs/2103.10919v1
• [cs.CV]Scalable Visual Transformers with Hierarchical Pooling
Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai
http://arxiv.org/abs/2103.10619v1
• [cs.CV]Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum, Thomas B. Moeslund
http://arxiv.org/abs/2103.10895v1
• [cs.CV]Skeleton Merger: an Unsupervised Aligned Keypoint Detector
Ruoxi Shi, Zhengrong Xue, Yang You, Cewu Lu
http://arxiv.org/abs/2103.10814v1
• [cs.CV]Tf-GCZSL: Task-Free Generalized Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
http://arxiv.org/abs/2103.10741v1
• [cs.CV]There and Back Again: Self-supervised Multispectral Correspondence Estimation
Celyn Walters, Oscar Mendez, Mark Johnson, Richard Bowden
http://arxiv.org/abs/2103.10768v1
• [cs.CV]Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom, Kyung-Hwan Shim, Jee-Hyun Hwang
http://arxiv.org/abs/2103.10858v1
• [cs.CV]UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen
http://arxiv.org/abs/2103.10773v1
• [cs.CV]XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon
http://arxiv.org/abs/2103.10663v1
• [cs.CY]Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective
Ivan Srba, Gabriele Lenzini, Matus Pikuliak, Samuel Pecar
http://arxiv.org/abs/2103.10489v1
• [cs.CY]The evolving ecosystem of COVID-19 contact tracing applications
Benjamin Levy, Matthew Stewart
http://arxiv.org/abs/2103.10585v1
• [cs.DC]Back to the Coordinated Attack Problem
Emmanuel Godard, Eloi Perdereau
http://arxiv.org/abs/2103.10816v1
• [cs.DC]Enabling OpenMP Task Parallelism on Multi-FPGAs
R. S. Nepomuceno, R. A. Sterle, G. A. Valarini, M. M. Pereira, H. C. Yviquel, G. C. S de Araujo
http://arxiv.org/abs/2103.10573v1
• [cs.DC]Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon E. Moon, Sivasankaran Rajamanickam, Tushar Krishna
http://arxiv.org/abs/2103.10452v1
• [cs.DC]PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace
Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Abdel-Hameed Badawy, Yehia Arafa, Stephan Eidenbenz
http://arxiv.org/abs/2103.10635v1
• [cs.DC]Panconnectivity Algorithm for Eisenstein-Jacobi Networks
Mohammad Awadh, Zaid Hussain
http://arxiv.org/abs/2103.10500v1
• [cs.DC]Performance Analysis of Deep Learning Workloads on a Composable System
Kauotar El Maghraoui, Lorraine M. Herger, Chekuri Choudary, Kim Tran, Todd Deshane, David Hanson
http://arxiv.org/abs/2103.10911v1
• [cs.DC]Tools and Algorithms for SoC Communication Traces
Md Rubel Ahmed, Hao Zheng
http://arxiv.org/abs/2103.10778v1
• [cs.DL]Biomedical Convergence Facilitated by the Emergence of Technological and Informatic Capabilities
Dong Yang, Ioannis Pavlidis, Alexander M. Petersen
http://arxiv.org/abs/2103.10641v1
• [cs.HC]How Social Are Social Media The Dark Patterns In Facebook’s Interface
Thomas Mildner, Gian-Luca Savino
http://arxiv.org/abs/2103.10725v1
• [cs.IR]Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding
http://arxiv.org/abs/2103.10693v1
• [cs.IR]Detecting and Understanding Branching Frequency Changes in Process Models
Yang Lu, Qifan Chen, Simon Poon
http://arxiv.org/abs/2103.10742v1
• [cs.IR]Discovering Redundant Activities in Event Logs for the Simplification of Process Models
Qifan Chen, Yang Lu, Simon Poon
http://arxiv.org/abs/2103.10683v1
• [cs.IR]Dynamic Model for Query-Document Expansion towards Improving Retrieval Relevance
Onifade Olufade, Arise Abiola, Ogboo Chisom
http://arxiv.org/abs/2103.10474v1
• [cs.IR]EXSCLAIM! — An automated pipeline for the construction of labeled materials imaging datasets from literature
Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola Ferrier, Oliver Cossairt, Maria K. Y. Chan
http://arxiv.org/abs/2103.10631v1
• [cs.IT]A new method for constructing linear codes with small hulls
Liqin Qian, Xiwang Cao, Wei Lu, Patrick Sole
http://arxiv.org/abs/2103.10874v1
• [cs.IT]Bhattacharyya parameter of monomials codes for the Binary Erasure Channel: from pointwise to average reliability
Vlad-Florin Dragoi, Gabriela Cristescu
http://arxiv.org/abs/2103.10803v1
• [cs.IT]Low-Complexity Dynamic Resource Scheduling for Downlink MC-NOMA Over Fading Channels
Do-Yup Kim, Hamid Jafarkhani, Jang-Won Lee
http://arxiv.org/abs/2103.10650v1
• [cs.IT]Zero-Delay Lossy Coding of Linear Vector Markov Sources: Optimality of Stationary Codes and Near Optimality of Finite Memory Codes
Meysam Ghomi, Tamas Linder, Serdar Yuksel
http://arxiv.org/abs/2103.10810v1
• [cs.LG]Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms
Maryam Abdolali, Nicolas Gillis
http://arxiv.org/abs/2103.10656v1
• [cs.LG]Bilinear Classes: A Structural Framework for Provable Generalization in RL
Simon S. Du, Sham M. Kakade, Jason D. Lee, Shachar Lovett, Gaurav Mahajan, Wen Sun, Ruosong Wang
http://arxiv.org/abs/2103.10897v1
• [cs.LG]Cascade Weight Shedding in Deep Neural Networks: Benefits and Pitfalls for Network Pruning
Kambiz Azarian, Fatih Porikli
http://arxiv.org/abs/2103.10629v1
• [cs.LG]Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data
K. D. Humbird, J. L. Peterson, J. Salmonson, B. K. Spears
http://arxiv.org/abs/2103.10590v1
• [cs.LG]Data driven algorithms for limited labeled data learning
Maria-Florina Balcan, Dravyansh Sharma
http://arxiv.org/abs/2103.10547v1
• [cs.LG]Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients
Yuqing Wang, Yun Zhao, Rachael Callcut, Linda Petzold
http://arxiv.org/abs/2103.10929v1
• [cs.LG]Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
http://arxiv.org/abs/2103.10824v1
• [cs.LG]Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP
Takehiro Tottori, Tetsuya J. Kobayashi
http://arxiv.org/abs/2103.10752v1
• [cs.LG]Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang
http://arxiv.org/abs/2103.10760v1
• [cs.LG]HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Yingyan Lin
http://arxiv.org/abs/2103.10584v1
• [cs.LG]Hidden Technical Debts for Fair Machine Learning in Financial Services
Chong Huang, Arash Nourian, Kevin Griest
http://arxiv.org/abs/2103.10510v1
• [cs.LG]Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
http://arxiv.org/abs/2103.10689v1
• [cs.LG]Joint Parameter Discovery and Generative Modeling of Dynamic Systems
Gregory Barber, Mulugeta A. Haile, Tzikang Chen
http://arxiv.org/abs/2103.10905v1
• [cs.LG]Knowledge-Guided Object Discovery with Acquired Deep Impressions
Jinyang Yuan, Bin Li, Xiangyang Xue
http://arxiv.org/abs/2103.10611v1
• [cs.LG]Landscape analysis for shallow ReLU neural networks: complete classification of critical points for affine target functions
Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek
http://arxiv.org/abs/2103.10922v1
• [cs.LG]Lossless compression with state space models using bits back coding
James Townsend, Iain Murray
http://arxiv.org/abs/2103.10150v2
• [cs.LG]Masked Conditional Random Fields for Sequence Labeling
Tianwen Wei, Jianwei Qi, Shenghuan He, Songtao Sun
http://arxiv.org/abs/2103.10682v1
• [cs.LG]MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
Görkem Algan, Ilkay Ulusoy
http://arxiv.org/abs/2103.10869v1
• [cs.LG]Noise Modulation: Let Your Model Interpret Itself
Haoyang Li, Xinggang Wang
http://arxiv.org/abs/2103.10603v1
• [cs.LG]Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
http://arxiv.org/abs/2103.10916v1
• [cs.LG]Prediction of progressive lens performance from neural network simulations
Alexander Leube, Lukas Lang, Gerhard Kelch, Siegfried Wahl
http://arxiv.org/abs/2103.10842v1
• [cs.LG]QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates
Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau
http://arxiv.org/abs/2103.10695v1
• [cs.LG]Reading Isn’t Believing: Adversarial Attacks On Multi-Modal Neurons
David A. Noever, Samantha E. Miller Noever
http://arxiv.org/abs/2103.10480v1
• [cs.LG]The Shape of Learning Curves: a Review
Tom Viering, Marco Loog
http://arxiv.org/abs/2103.10948v1
• [cs.LG]Training image classifiers using Semi-Weak Label Data
Anxiang Zhang, Ankit Shah, Bhiksha Raj
http://arxiv.org/abs/2103.10608v1
• [cs.LG]Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolo Michelusi
http://arxiv.org/abs/2103.10481v1
• [cs.NE]PAMELI: A Meta-Algorithm for Computationally Expensive Multi-Objective Optimization Problems
Santiago Cuervo, Miguel Melgarejo, Angie Blanco-Cañon, Laura Reyes-Fajardo, Sergio Rojas-Galeano
http://arxiv.org/abs/2103.10736v1
• [cs.NE]Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
Adam Katona, Daniel W. Franks, James Alfred Walker
http://arxiv.org/abs/2103.10790v1
• [cs.RO]6-DOF Feature based LIDAR SLAM using ORB Features from Rasterized Images of 3D LIDAR Point Cloud
Waqas Ali, Peilin Liu, Rendong Ying, Zheng Gong
http://arxiv.org/abs/2103.10678v1
• [cs.RO]A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile Robots
Xinyi Yu, Yuehai Fan, Siyu Xu, Linlin Ou
http://arxiv.org/abs/2103.10686v1
• [cs.RO]Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation
Mayank Mittal, David Hoeller, Farbod Farshidian, Marco Hutter, Animesh Garg
http://arxiv.org/abs/2103.10534v1
• [cs.RO]AutoTune: Controller Tuning for High-Speed Flight
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
http://arxiv.org/abs/2103.10698v1
• [cs.RO]Dynamic Grasping with Reachability and Motion Awareness
Iretiayo Akinola, Jingxi Xu, Shuran Song, Peter K. Allen
http://arxiv.org/abs/2103.10562v1
• [cs.RO]Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
Zhiyu Huang, Jingda Wu, Chen Lv
http://arxiv.org/abs/2103.10690v1
• [cs.RO]Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
http://arxiv.org/abs/2103.10873v1
• [cs.RO]Generalizing Object-Centric Task-Axes Controllers using Keypoints
Mohit Sharma, Oliver Kroemer
http://arxiv.org/abs/2103.10524v1
• [cs.RO]IA Planner: Motion Planning Using Instantaneous Analysis for Autonomous Vehicle in the Dense Dynamic Scenarios on Highways
Xiaoyu Yang, Huiyun Li
http://arxiv.org/abs/2103.10909v1
• [cs.RO]Simulation Platform for Autonomous Aerial Manipulation in Dynamic Environments
Fengyu Quan, Huisheng Huang, Hongjie Zeng, Haoyao Chen, Yunhui Liu
http://arxiv.org/abs/2103.10792v1
• [cs.RO]SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing
Yasunori Toshimitsu, Ki Wan Wong, Thomas Buchner, Robert Katzschmann
http://arxiv.org/abs/2103.10726v1
• [cs.SD]USTC-NELSLIP System Description for DIHARD-III Challenge
Yuxuan Wang, Maokui He, Shutong Niu, Lei Sun, Tian Gao, Xin Fang, Jia Pan, Jun Du, Chin-Hui Lee
http://arxiv.org/abs/2103.10661v1
• [cs.SE]API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations
Ramin Shahbazi, Rishab Sharma, Fatemeh H. Fard
http://arxiv.org/abs/2103.10668v1
• [cs.SE]Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
Danny Weyns, Bradley Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson, Kenji Tei
http://arxiv.org/abs/2103.10847v1
• [cs.SE]Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists
Filippo Lanubile, Fabio Calefato, Luigi Quaranta, Maddalena Amoruso, Fabio Fumarola, Michele Filannino
http://arxiv.org/abs/2103.10548v1
• [cs.SI]“Do You Know You Are Tracked by Photos That You Didn’t Take”: Location-Aware Multi-Party Image Privacy Protection
Joshua Morris, Sara Newman, Kannappan Palaniappan, Jianping Fan, Dan Lin
http://arxiv.org/abs/2103.10851v1
• [cs.SI]Evolution of Retweet Rates in Twitter User Careers: Analysis and Model
Kiran Garimella, Robert West
http://arxiv.org/abs/2103.10754v1
• [cs.SI]GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng
http://arxiv.org/abs/2103.10600v1
• [eess.IV]Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
http://arxiv.org/abs/2103.10626v1
• [eess.IV]Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich
http://arxiv.org/abs/2103.10892v1
• [eess.IV]Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao
http://arxiv.org/abs/2103.10825v1
• [math.OC]Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows
Kartik Krishna, Zhuoyuan Song, Steven L. Brunton
http://arxiv.org/abs/2103.10556v1
• [math.OC]Towards a Dimension-Free Understanding of Adaptive Linear Control
Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter Bartlett
http://arxiv.org/abs/2103.10620v1
• [math.ST]Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu, Kengo Kato, Xiaofeng Shao
http://arxiv.org/abs/2103.10720v1
• [math.ST]Nonparametric and high-dimensional functional graphical models
Eftychi
1000
a Solea, Holger Dette
http://arxiv.org/abs/2103.10568v1
• [math.ST]Refined Least Squares for Support Recovery
Ofir Lindenbaum, Stefan Steinerberger
http://arxiv.org/abs/2103.10949v1
• [math.ST]Stationary underdispersed INAR(1) models based on the backward approach
Emad-Eldin AA Aly, Nadjib Bouzar
http://arxiv.org/abs/2103.10471v1
• [math.ST]The effect of Informative Selection on the estimation of parameters related to Spatial Processes
Daniel Bonnery, Francesco Pantalone, M. Giovanna Ranalli
http://arxiv.org/abs/2103.10540v1
• [math.ST]The reference distributions of Maurer’s universal statistical test and its improved tests
Yasunari Hikima, Atsushi Iwasaki, Ken Umeno
http://arxiv.org/abs/2103.10660v1
• [physics.soc-ph]Emergence of Structural Inequalities in Scientific Citation Networks
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman
http://arxiv.org/abs/2103.10944v1
• [q-bio.GN]Sequencing by Emergence: Modeling and Estimation
Nicholas Boyd, Kalim Mir
http://arxiv.org/abs/2103.10477v1
• [q-bio.PE]Quantifying the overall effect of biotic interactions on species communities along environmental gradients
Vincent Miele, Catherine Matias, Marc Ohlmann, Giovanni Poggiato, Stéphane Dray, Wilfried Thuiller
http://arxiv.org/abs/2103.10433v1
• [stat.AP]Comments on “Factors associated with the spatial heterogeneity of the first wave of COVID-19 in France: a nationwide geo-epidemiological study” by Gaudart et al
José A. Ferreira
http://arxiv.org/abs/2103.10712v1
• [stat.AP]Deepening Lee-Carter for longevity projections with uncertainty estimation
Mario Marino, Susanna Levantesi, Andrea Nigri
http://arxiv.org/abs/2103.10535v1
• [stat.AP]On Spurious Causality, CO2, and Global Temperature
Philippe Goulet Coulombe, Maximilian Göbel
http://arxiv.org/abs/2103.10605v1
• [stat.AP]Predicting Covid-19 EMS Incidents from Daily Hospitalization Trends
Ngoc Mai Tran, Evdokia Nikolova, David Kulpanowski, Yangxinyu Xie, Joshua Ong
http://arxiv.org/abs/2103.10885v1
• [stat.CO]Scalable computation for Bayesian hierarchical models
Omiros Papaspiliopoulos, Timothée Stumpf-Fétizon, Giacomo Zanella
http://arxiv.org/abs/2103.10875v1
• [stat.ME]A unified framework for weighted parametric group sequential design (WPGSD)
Keaven M. Anderson, Zifang Guo, Jing Zhao, Linda Z. Sun
http://arxiv.org/abs/2103.10537v1
• [stat.ME]Estimation and false discovery control for the analysis of environmental mixtures
Srijata Samanta, Joseph Antonelli
http://arxiv.org/abs/2103.10563v1
• [stat.ME]Graphical Test for Discrete Uniformity and its Applications in Goodness of Fit Evaluation and Multiple Sample Comparison
Teemu Säilynoja, Paul-Christian Bürkner, Aki Vehtari
http://arxiv.org/abs/2103.10522v1
• [stat.ME]Maximum Likelihood Recursive State Estimation using the Expectation Maximization Algorithm
Mohammad S. Ramadan, Robert R. Bitmead
http://arxiv.org/abs/2103.10475v1
• [stat.ME]Order selection with confidence for finite mixture models
Hien D Nguyen, Daniel Fryer, Geoffrey McLachlan
http://arxiv.org/abs/2103.10640v1
• [stat.ME]Recognizing a Spatial Extreme dependence structure: A Deep Learning approach
Manaf Ahmed, Véronique Maume-Deschamps, Pierre Ribereau
http://arxiv.org/abs/2103.10739v1
• [stat.ME]Robust penalized empirical likelihood in high dimensional longitudinal data analysis
Jiaqi Li, Liya Fu
http://arxiv.org/abs/2103.10613v1
• [stat.ME]Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
Meng Li, Zejian Liu, Cheng-Han Yu, Marina Vannucci
http://arxiv.org/abs/2103.10606v1
• [stat.ML]Inductive Inference in Supervised Classification
Ali Amiryousefi
http://arxiv.org/abs/2103.10549v1
• [stat.ML]Sparse Algorithms for Markovian Gaussian Processes
William J. Wilkinson, Arno Solin, Vincent Adam
http://arxiv.org/abs/2103.10710v1
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