cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CG - 计算几何学
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.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
hep-th - 高能物理理论
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.flu-dyn - 流体动力学
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Contrastive Explanations for Argumentation-Based Conclusions
• [cs.AI]Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models
• [cs.AI]Levels of explainable artificial intelligence for human-aligned conversational explanations
• [cs.AI]Nested Counterfactual Identification from Arbitrary Surrogate Experiments
• [cs.AI]Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking
• [cs.AI]Supervised Bayesian Specification Inference from Demonstrations
• [cs.AR]R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
• [cs.CG]Minimum Constraint Removal Problem for Line Segments is NP-hard
• [cs.CL]A Survey on Data Augmentation for Text Classification
• [cs.CL]A Survey on Dialogue Summarization: Recent Advances and New Frontiers
• [cs.CL]DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context
• [cs.CL]EchoEA: Echo Information between Entities and Relations for Entity Alignment
• [cs.CL]Efficient Transformer for Direct Speech Translation
• [cs.CL]Hierarchical Text Classification of Urdu News using Deep Neural Network
• [cs.CL]Kosp2e: Korean Speech to English Translation Corpus
• [cs.CL]Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
• [cs.CL]Linear-time calculation of the expected sum of edge lengths in random projective linearizations of trees
• [cs.CL]MedGPT: Medical Concept Prediction from Clinical Narratives
• [cs.CL]Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
• [cs.CL]On Training Instance Selection for Few-Shot Neural Text Generation
• [cs.CL]Robustifying Multi-hop QA through Pseudo-Evidentiality Training
• [cs.CL]Sarcasm Detection: A Comparative Study
• [cs.CL]SinSpell: A Comprehensive Spelling Checker for Sinhala
• [cs.CL]Time-Aware Ancient Chinese Text Translation and Inference
• [cs.CL]Topic Modeling in the Voynich Manuscript
• [cs.CR]Android Security using NLP Techniques: A Review
• [cs.CR]Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code
• [cs.CR]RoFL: Attestable Robustness for Secure Federated Learning
• [cs.CR]SAGE: Intrusion Alert-driven Attack Graph Extractor
• [cs.CR]Sensemaking in Cybersecurity Incident Response: The Interplay of Organizations, Technology and Individuals
• [cs.CV]A convolutional neural network for teeth margin detection on 3-dimensional dental meshes
• [cs.CV]Action Units Recognition Using Improved Pairwise Deep Architecture
• [cs.CV]Bi-level Feature Alignment for Versatile Image Translation and Manipulation
• [cs.CV]Blind Image Super-Resolution: A Survey and Beyond
• [cs.CV]Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
• [cs.CV]Controlled Caption Generation for Images Through Adversarial Attacks
• [cs.CV]Cross-View Exocentric to Egocentric Video Synthesis
• [cs.CV]Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
• [cs.CV]Deep Learning based Micro-expression Recognition: A Survey
• [cs.CV]Disentangle Your Dense Object Detector
• [cs.CV]E-PixelHop: An Enhanced PixelHop Method for Object Classification
• [cs.CV]Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields
• [cs.CV]FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition
• [cs.CV]FasterPose: A Faster Simple Baseline for Human Pose Estimation
• [cs.CV]Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
• [cs.CV]GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
• [cs.CV]GLiT: Neural Architecture Search for Global and Local Image Transformer
• [cs.CV]Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
• [cs.CV]Group Sampling for Unsupervised Person Re-identification
• [cs.CV]HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
• [cs.CV]Hierarchical Semantic Segmentation using Psychometric Learning
• [cs.CV]Integrating Circle Kernels into Convolutional Neural Networks
• [cs.CV]IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
• [cs.CV]Introducing the structural bases of typicality effects in deep learning
• [cs.CV]Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?
• [cs.CV]Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
• [cs.CV]Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
• [cs.CV]Learning Stixel-based Instance Segmentation
• [cs.CV]Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
• [cs.CV]Long Short-Term Transformer for Online Action Detection
• [cs.CV]Mitigating Generation Shifts for Generalized Zero-Shot Learning
• [cs.CV]MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering
• [cs.CV]Multi-modal Affect Analysis using standardized data within subjects in the Wild
• [cs.CV]Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
• [cs.CV]Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
• [cs.CV]Plot2Spectra: an Automatic Spectra Extraction Tool
• [cs.CV]Poly-NL: Linear Complexity Non-local Layers with Polynomials
• [cs.CV]PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
• [cs.CV]Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
• [cs.CV]Scalable Data Balancing for Unlabeled Satellite Imagery
• [cs.CV]Self-supervised Outdoor Scene Relighting
• [cs.CV]SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
• [cs.CV]Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
• [cs.CV]Urban Tree Species Classification Using Aerial Imagery
• [cs.CV]VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
• [cs.CV]Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
• [cs.CV]Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization
• [cs.CV]WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
• [cs.CY]Towards Achieving Trust Through Transparency and Ethics (Pre-Print)
• [cs.CY]Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020
• [cs.DC]Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios?
• [cs.DC]Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing
• [cs.DS]Burrows Wheeler Transform on a Large Scale: Algorithms Implemented in Apache Spark
• [cs.GR]Egocentric Videoconferencing
• [cs.GT]Building Stable Off-chain Payment Networks
• [cs.HC]How Big Are Peoples’ Computer Files? File Size Distributions Among User-managed Collections
• [cs.HC]Personal Information Management
• [cs.IR]”Are you sure?”: Preliminary Insights from Scaling Product Comparisons to Multiple Shops
• [cs.IR]Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
• [cs.IR]SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
• [cs.IT]An Overview on the Application of Graph Neural Networks in Wireless Networks
• [cs.IT]Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation
• [cs.IT]Discriminative Mutual Information Estimators for Channel Capacity Learning
• [cs.IT]Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems
• [cs.IT]IRS-Aided WPCNs: A New Optimization Framework for Dynamic IRS Beamforming
• [cs.IT]Prospective Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications: A Tutorial
• [cs.IT]Rate Region of Scheduling a Wireless Network with Discrete Propagation Delays
• [cs.IT]Semilinear transformations in coding theory and their application to cryptography
• [cs.IT]Time-irreversibility tests for random-length time series: the matching-time approach applied to DNA
• [cs.LG]A Survey of Uncertainty in Deep Neural Networks
• [cs.LG]ADAPT : Awesome Domain Adaptation Python Toolbox
• [cs.LG]AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
• [cs.LG]Bias-Tolerant Fair Classification
• [cs.LG]Deep Extrapolation for Attribute-Enhanced Generation
• [cs.LG]Differentiable Architecture Pruning for Transfer Learning
• [cs.LG]Discrete-Valued Neural Communication
• [cs.LG]Distributed adaptive algorithm based on the asymmetric cost of error functions
• [cs.LG]Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization
• [cs.LG]Episodic Bandits with Stochastic Experts
• [cs.LG]Evaluating Large Language Models Trained on Code
• [cs.LG]Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
• [cs.LG]Exact Learning Augmented Naive Bayes Classifier
• [cs.LG]Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
• [cs.LG]Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
• [cs.LG]Incorporating Label Uncertainty in Understanding Adversarial Robustness
• [cs.LG]Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network
• [cs.LG]KaFiStO: A Kalman Filtering Framework for Stochastic Optimization
• [cs.LG]Keiki: Towards Realistic Danmaku Generation via Sequential GANs
• [cs.LG]Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
• [cs.LG]Logit-based Uncertainty Measure in Classification
• [cs.LG]Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
• [cs.LG]On Codomain Separability and Label Inference from (Noisy) Loss Functions
• [cs.LG]Predicting with Confidence on Unseen Distributions
• [cs.LG]Principles for Evaluation of AI/ML Model Performance and Robustness
• [cs.LG]Probabilistic partition of unity networks: clustering based deep approximation
• [cs.LG]Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
• [cs.LG]Provable Lipschitz Certification for Generative Models
• [cs.LG]RISAN: Robust Instance Specific Abstention Network
• [cs.LG]Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries
• [cs.LG]Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
• [cs.LG]Structured Denoising Diffusion Models in Discrete State-Spaces
• [cs.LG]Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
• [cs.NE]Growing and Evolving 3D Prints
• [cs.NE]Model-agnostic multi-objective approach for theevolutionary discovery of mathematical models
• [cs.NI]6G: from Densification to Diversification
• [cs.RO]Humans as Path-Finders for Safe Navigation
• [cs.RO]Learning Latent Actions to Control Assistive Robots
• [cs.RO]Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning
• [cs.RO]MPLP: Massively Parallelized Lazy Planning
• [cs.RO]Maintaining a Reliable World Model using Action-aware Perceptual Anchoring
• [cs.RO]On the Robot Assisted Movement in Wireless Mobile Sensor Networks
• [cs.RO]Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning
• [cs.RO]RAM-VO: Less is more in Visual Odometry
• [cs.RO]RRL: Resnet as representation for Reinforcement Learning
• [cs.RO]Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations
• [cs.RO]RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
• [cs.RO]Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives
• [cs.RO]Toward Robotically Automated Femoral Vascular Access
• [cs.RO]WaspL: Design of a Reconfigurable Logistic Robot for Hospital Settings
• [cs.SD]MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification
• [cs.SD]SoundStream: An End-to-End Neural Audio Codec
• [cs.SE]From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers
• [cs.SI]Climate Change Conspiracy Theories on Social Media
• [cs.SI]Cognitive Contagion: How to model (and potentially counter) the spread of fake news
• [cs.SI]Directed Network Laplacians and Random Graph Models
• [cs.SI]Optimal Edge Weight Perturbations to Attack Shortest Paths
• [cs.SI]The Geography of Open Source Software: Evidence from GitHub
• [econ.EM]Estimation and Inference in Factor Copula Models with Exogenous Covariates
• [eess.AS]A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
• [eess.AS]Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
• [eess.IV]A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
• [eess.IV]AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation
• [eess.IV]Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
• [eess.IV]COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
• [eess.IV]End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data
• [eess.IV]GAN-based Data Augmentation for Chest X-ray Classification
• [eess.IV]Image Complexity Guided Network Compression for Biomedical Image Segmentation
• [eess.IV]Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
• [eess.SY]DER Forecast using Privacy Preserving Federated Learning
• [hep-th]Non-rational Narain CFTs from codes over
• [math.NA]Samplets: A new paradigm for data compression
• [math.OC]Distributed stochastic optimization with large delays
• [math.ST]Bounded support in linear random coefficient models: Identification and variable selection
• [math.ST]Distance correlation for long-range dependent time series
• [math.ST]Distance covariance for random fields
• [math.ST]High dimensional precision matrix estimation under weak sparsity
• [math.ST]Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
• [physics.flu-dyn]A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows
• [q-bio.NC]Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
• [q-bio.QM]Mid infrared spectroscopy and milk quality traits: a data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”
• [quant-ph]A Leap among Entanglement and Neural Networks: A Quantum Survey
• [stat.AP]Assessing the forensic value of DNA evidence from Y chromosomes and mitogenomes
• [stat.AP]Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
• [stat.AP]Patient-reported outcomes in the context of the benefit assessment in Germany
• [stat.ME]An application of time truncated single acceptance sampling inspection plan based on transmuted Rayleigh distribution
• [stat.ME]Non-Homogeneity Estimation and Universal Kriging on the Sphere
• [stat.ME]Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
• [stat.ME]Variable selection in convex quantile regression: L1-norm or L0-norm regularization?
• [stat.ME]When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
• [stat.ML]A Closed-Form Approximation to the Conjugate Prior of the Dirichlet and Beta Distributions
• [stat.ML]An algorithmic view of regularization and some path-following algorithms
• [stat.ML]Combined Global and Local Search for Optimization with Gaussian Process Models
• [stat.ML]MD-split+: Practical Local Conformal Inference in High Dimensions
• [stat.ML]Neural Contextual Bandits without Regret
• [stat.ML]New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
• [stat.ML]Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
• [stat.ML]Test for non-negligible adverse shifts
• [stat.ML]Transfer Learning in Information Criteria-based Feature Selection
·····································
• [cs.AI]Contrastive Explanations for Argumentation-Based Conclusions
AnneMarie Borg, Floris Bex
http://arxiv.org/abs/2107.03265v1
• [cs.AI]Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models
Timo Müller, Benjamin Lindemann, Tobias Jung, Nasser Jazdi, Michael Weyrich
http://arxiv.org/abs/2107.03324v1
• [cs.AI]Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz
http://arxiv.org/abs/2107.03178v1
• [cs.AI]Nested Counterfactual Identification from Arbitrary Surrogate Experiments
Juan D Correa, Sanghack Lee, Elias Bareinboim
http://arxiv.org/abs/2107.03190v1
• [cs.AI]Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking
Daniel Diomedi, Aidan Hogan
http://arxiv.org/abs/2107.02865v1
• [cs.AI]Supervised Bayesian Specification Inference from Demonstrations
Ankit Shah, Pritish Kamath, Shen Li, Patrick Craven, Kevin Landers, Kevin Oden, Julie Shah
http://arxiv.org/abs/2107.02912v1
• [cs.AR]R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors
Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
http://arxiv.org/abs/2107.03096v1
• [cs.CG]Minimum Constraint Removal Problem for Line Segments is NP-hard
Bahram Sadeghi Bigham
http://arxiv.org/abs/2107.03140v1
• [cs.CL]A Survey on Data Augmentation for Text Classification
Markus Bayer, Marc-André Kaufhold, Christian Reuter
http://arxiv.org/abs/2107.03158v1
• [cs.CL]A Survey on Dialogue Summarization: Recent Advances and New Frontiers
Xiachong Feng, Xiaocheng Feng, Bing Qin
http://arxiv.org/abs/2107.03175v1
• [cs.CL]DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context
Hyunmin Jeon, Gary Geunbae Lee
http://arxiv.org/abs/2107.03286v1
• [cs.CL]EchoEA: Echo Information between Entities and Relations for Entity Alignment
Xueyuan Lin, Haihong E, Wenyu Song, Haoran Luo
http://arxiv.org/abs/2107.03054v1
• [cs.CL]Efficient Transformer for Direct Speech Translation
Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà
http://arxiv.org/abs/2107.03069v1
• [cs.CL]Hierarchical Text Classification of Urdu News using Deep Neural Network
Taimoor Ahmed Javed, Waseem Shahzad, Umair Arshad
http://arxiv.org/abs/2107.03141v1
• [cs.CL]Kosp2e: Korean Speech to English Translation Corpus
Won Ik Cho, Seok Min Kim, Hyunchang Cho, Nam Soo Kim
http://arxiv.org/abs/2107.02875v1
• [cs.CL]Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
http://arxiv.org/abs/2107.03266v1
• [cs.CL]Linear-time calculation of the expected sum of edge lengths in random projective linearizations of trees
Lluís Alemany-Puig, Ramon Ferrer-i-Cancho
http://arxiv.org/abs/2107.03277v1
• [cs.CL]MedGPT: Medical Concept Prediction from Clinical Narratives
Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James Teo, Richard Dobson
http://arxiv.org/abs/2107.03134v1
• [cs.CL]Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlalı, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, R. Andrew Taylor, Harlan M. Krumholz, Dragomir Radev
http://arxiv.org/abs/2107.02975v1
• [cs.CL]On Training Instance Selection for Few-Shot Neural Text Generation
Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg
http://arxiv.org/abs/2107.03176v1
• [cs.CL]Robustifying Multi-hop QA through Pseudo-Evidentiality Training
Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee
http://arxiv.org/abs/2107.03242v1
• [cs.CL]Sarcasm Detection: A Comparative Study
Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed
http://arxiv.org/abs/2107.02276v2
• [cs.CL]SinSpell: A Comprehensive Spelling Checker for Sinhala
Upuli Liyanapathirana, Kaumini Gunasinghe, Gihan Dias
http://arxiv.org/abs/2107.02983v1
• [cs.CL]Time-Aware Ancient Chinese Text Translation and Inference
Ernie Chang, Yow-Ting Shiue, Hui-Syuan Yeh, Vera Demberg
http://arxiv.org/abs/2107.03179v1
• [cs.CL]Topic Modeling in the Voynich Manuscript
Rachel Sterneck, Annie Polish, Claire Bowern
http://arxiv.org/abs/2107.02858v1
• [cs.CR]Android Security using NLP Techniques: A Review
Sevil Sen, Burcu Can
http://arxiv.org/abs/2107.03072v1
• [cs.CR]Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code
Minoru Kuribayashi, Tatsuya Yasui, Asad Malik, Nobuo Funabiki
http://arxiv.org/abs/2107.02961v1
• [cs.CR]RoFL: Attestable Robustness for Secure Federated Learning
Lukas Burkhalter, Hidde Lycklama à Nijeholt, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
http://arxiv.org/abs/2107.03311v1
• [cs.CR]SAGE: Intrusion Alert-driven Attack Graph Extractor
Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang
http://arxiv.org/abs/2107.02783v1
• [cs.CR]Sensemaking in Cybersecurity Incident Response: The Interplay of Organizations, Technology and Individuals
Ritu Lakshmi, Humza Naseer, Sean Maynard, Atif Ahmad
http://arxiv.org/abs/2107.02941v1
• [cs.CV]A convolutional neural network for teeth margin detection on 3-dimensional dental meshes
Hu Chen, Hong Li, Bifu Hu, Kenan Ma, Yuchun Sun
http://arxiv.org/abs/2107.03030v1
• [cs.CV]Action Units Recognition Using Improved Pairwise Deep Architecture
Junya Saito, Xiaoyu Mi, Akiyoshi Uchida, Sachihiro Youoku, Takahisa Yamamoto, Kentaro Murase
http://arxiv.org/abs/2107.03143v1
• [cs.CV]Bi-level Feature Alignment for Versatile Image Translation and Manipulation
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao
http://arxiv.org/abs/2107.03021v1
• [cs.CV]Blind Image Super-Resolution: A Survey and Beyond
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
http://arxiv.org/abs/2107.03055v1
• [cs.CV]Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q. -H. Meng
http://arxiv.org/abs/2107.03225v1
• [cs.CV]Controlled Caption Generation for Images Through Adversarial Attacks
Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian
http://arxiv.org/abs/2107.03050v1
• [cs.CV]Cross-View Exocentric to Egocentric Video Synthesis
Gaowen Liu, Hao Tang, Hugo Latapie, Jason Corso, Yan Yan
http://arxiv.org/abs/2107.03120v1
• [cs.CV]Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
Reza Jalil Mozhdehi, Henry Medeiros
http://arxiv.org/abs/2107.02984v1
• [cs.CV]Deep Learning based Micro-expression Recognition: A Survey
Yante Li, Jinsheng Wei, Seyednavid Mohammadifoumani, Yang Liu, Guoying Zhao
http://arxiv.org/abs/2107.02823v1
• [cs.CV]Disentangle Your Dense Object Detector
Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zhengjun Zha, Feng Wu
http://arxiv.org/abs/2107.02963v1
• [cs.CV]E-PixelHop: An Enhanced PixelHop Method for Object Classification
Yijing Yang, Vasileios Magoulianitis, C. -C. Jay Kuo
http://arxiv.org/abs/2107.02966v1
• [cs.CV]Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields
Numair Khan, Min H. Kim, James Tompkin
http://arxiv.org/abs/2107.02967v1
• [cs.CV]FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition
Kaiwen Cui, Gongjie Zhang, Fangneng Zhan, Jiaxing Huang, Shijian Lu
http://arxiv.org/abs/2107.03166v1
• [cs.CV]FasterPose: A Faster Simple Baseline for Human Pose Estimation
Hanbin Dai, Hailin Shi, Wu Liu, Linfang Wang, Yinglu Liu, Tao Mei
http://arxiv.org/abs/2107.03215v1
• [cs.CV]Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation
Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto, Yoshitaka Ushiku, Yoichi Sato
http://arxiv.org/abs/2107.02718v2
• [cs.CV]GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
Shuang Deng, Qiulei Dong
http://arxiv.org/abs/2107.03101v1
• [cs.CV]GLiT: Neural Architecture Search for Global and Local Image Transformer
Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie yan, Wanli Ouyang
http://arxiv.org/abs/2107.02960v1
• [cs.CV]Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
Jia Li, Linhua Xiang, Jiwei Chen, Zengfu Wang
http://arxiv.org/abs/2107.03098v1
• [cs.CV]Group Sampling for Unsupervised Person Re-identification
Xumeng Han, Xuehui Yu, Nan Jiang, Guorong Li, Jian Zhao, Qixiang Ye, Zhenjun Han
http://arxiv.org/abs/2107.03024v1
• [cs.CV]HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
Huayao Liu, Ruiping Liu, Kailun Yang, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen
http://arxiv.org/abs/2107.03180v1
• [cs.CV]Hierarchical Semantic Segmentation using Psychometric Learning
Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy
http://arxiv.org/abs/2107.03212v1
• [cs.CV]Integrating Circle Kernels into Convolutional Neural Networks
Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft
http://arxiv.org/abs/2107.02451v2
• [cs.CV]IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng
http://arxiv.org/abs/2107.03352v1
• [cs.CV]Introducing the structural bases of typicality effects in deep learning
Omar Vidal Pino, Erickson Rangel Nascimento, Mario Fernando Montenegro Campos
http://arxiv.org/abs/2107.03279v1
• [cs.CV]Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?
Yanjie Li, Sen Yang, Shoukui Zhang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia, Erjin Zhou
http://arxiv.org/abs/2107.03332v1
• [cs.CV]Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes
Xiang Li, Lingjing Wang, Yi Fang
http://arxiv.org/abs/2107.02972v1
• [cs.CV]Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang, Junbao Zhuo, Shuhao Cui, Shuhui Wang
http://arxiv.org/abs/2107.03008v1
• [cs.CV]Learning Stixel-based Instance Segmentation
Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke
http://arxiv.org/abs/2107.03070v1
• [cs.CV]Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
Mouath Aouayeb, Wassim Hamidouche, Catherine Soladie, Kidiyo Kpalma, Renaud Seguier
http://arxiv.org/abs/2107.03107v1
• [cs.CV]Long Short-Term Transformer for Online Action Detection
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
http://arxiv.org/abs/2107.03377v1
• [cs.CV]Mitigating Generation Shifts for Generalized Zero-Shot Learning
Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang
http://arxiv.org/abs/2107.03163v1
• [cs.CV]MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering
Haiwei Pan, Shuning He, Kejia Zhang, Bo Qu, Chunling Chen, Kun Shi
http://arxiv.org/abs/2107.03216v1
• [cs.CV]Multi-modal Affect Analysis using standardized data within subjects in the Wild
Sachihiro Youoku, Takahisa Yamamoto, Junya Saito, Akiyoshi Uchida, Xiaoyu Mi, Ziqiang Shi, Liu Liu, Zhongling Liu
http://arxiv.org/abs/2107.03009v1
• [cs.CV]Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao, Kai Han
http://arxiv.org/abs/2107.03358v1
• [cs.CV]Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
Bart Iver van Blokland, Theoharis Theoharis
http://arxiv.org/abs/2107.03368v1
• [cs.CV]Plot2Spectra: an Automatic Spectra Extraction Tool
Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Kai Li, Maria K. Y. Chan, Oliver Cossairt
http://arxiv.org/abs/2107.02827v1
• [cs.CV]Poly-NL: Linear Complexity Non-local Layers with Polynomials
Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou
http://arxiv.org/abs/2107.02859v1
• [cs.CV]PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi
http://arxiv.org/abs/2107.03000v1
• [cs.CV]Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Shuang Deng, Bo Liu, Qiulei Dong, Zhanyi Hu
http://arxiv.org/abs/2107.03105v1
• [cs.CV]Scalable Data Balancing for Unlabeled Satellite Imagery
Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam
http://arxiv.org/abs/2107.03227v1
• [cs.CV]Self-supervised Outdoor Scene Relighting
Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith
http://arxiv.org/abs/2107.03106v1
• [cs.CV]SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot
http://arxiv.org/abs/2107.02988v1
• [cs.CV]Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World
Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen
http://arxiv.org/abs/2107.03172v1
• [cs.CV]Urban Tree Species Classification Using Aerial Imagery
Emily Waters, Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer
http://arxiv.org/abs/2107.03182v1
• [cs.CV]VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
Yuanxin Zhong, Minghan Zhu, Huei Peng
http://arxiv.org/abs/2107.02980v1
• [cs.CV]Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
Hajime Taira, Koki Onbe, Naoyuki Miyashita, Masatoshi Okutomi
http://arxiv.org/abs/2107.03068v1
• [cs.CV]Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization
Yifu Wang, Jiaqi Yang, Xin Peng, Peng Wu, Ling Gao, Kun Huang, Jiaben Chen, Laurent Kneip
http://arxiv.org/abs/2107.03011v1
• [cs.CV]WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shutao Xia, Feng Zheng, Maowei Hu
http://arxiv.org/abs/2107.03088v1
• [cs.CY]Towards Achieving Trust Through Transparency and Ethics (Pre-Print)
David Kwan, Luiz Marcio Cysneiros, Julio Cesar Sampaio do Prado Leite
http://arxiv.org/abs/2107.02959v1
• [cs.CY]Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020
Shuchi Chawla, Jelani Nelson, Chris Umans, David Woodruff
http://arxiv.org/abs/2107.02846v1
• [cs.DC]Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios?
Mohit Garg, Cian Johnston, Mélanie Bouroche
http://arxiv.org/abs/2107.03078v1
• [cs.DC]Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing
Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster
http://arxiv.org/abs/2107.02841v1
• [cs.DS]Burrows Wheeler Transform on a Large Scale: Algorithms Implemented in Apache Spark
Ylenia Galluzzo, Raffaele Giancarlo, Mario Randazzo, Simona E. Rombo
http://arxiv.org/abs/2107.03341v1
• [cs.GR]Egocentric Videoconferencing
Mohamed Elgharib, Mohit Mendiratta, Justus Thies, Matthias Nießner, Hans-Peter Seidel, Ayush Tewari, Vladislav Golyanik, Christian Theobalt
http://arxiv.org/abs/2107.03109v1
• [cs.GT]Building Stable Off-chain Payment Networks
MohammadAmin Fazli, Seyed Moeen Nehzati, MohammadAmin Salarkia
http://arxiv.org/abs/2107.03367v1
• [cs.HC]How Big Are Peoples’ Computer Files? File Size Distributions Among User-managed Collections
Jesse David Dinneen, Ba Xuan Nguyen
http://arxiv.org/abs/2107.03272v1
• [cs.HC]Personal Information Management
William Jones, Jesse David Dinneen, Robert Capra, Anne R. Diekema, Manuel A. Pérez-Quiñones
http://arxiv.org/abs/2107.03291v1
• [cs.IR]“Are you sure?”: Preliminary Insights from Scaling Product Comparisons to Multiple Shops
Patrick John Chia, Bingqing Yu, Jacopo Tagliabue
http://arxiv.org/abs/2107.03256v1
• [cs.IR]Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Iván Cantador, Andrés Carvallo, Fernando Diez, Denis Parra
http://arxiv.org/abs/2107.03226v1
• [cs.IR]SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
http://arxiv.org/abs/2107.03019v1
• [cs.IT]An Overview on the Application of Graph Neural Networks in Wireless Networks
S. He, S. Xiong, Y. Ou, J. Zhang, J. Wang, Y. Huang, Y. Zhang
http://arxiv.org/abs/2107.03029v1
• [cs.IT]Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation
Yihuan Liao, Min Qiu, Jinhong Yuan
http://arxiv.org/abs/2107.02327v2
• [cs.IT]Discriminative Mutual Information Estimators for Channel Capacity Learning
Nunzio A. Letizia, Andrea M. Tonello
http://arxiv.org/abs/2107.03084v1
• [cs.IT]Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems
Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
http://arxiv.org/abs/2107.02884v1
• [cs.IT]IRS-Aided WPCNs: A New Optimization Framework for Dynamic IRS Beamforming
Qingqing Wu, Xiaobo Zhou, Wen Chen, Jun Li, Xiuyin Zhang
http://arxiv.org/abs/2107.03251v1
• [cs.IT]Prospective Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications: A Tutorial
Boyu Ning, Zhongbao Tian, Zhi Chen, Chong Han, Jinhong Yuan, Shaoqian Li
http://arxiv.org/abs/2107.03032v1
• [cs.IT]Rate Region of Scheduling a Wireless Network with Discrete Propagation Delays
Jun Ma, Yanxiao Liu, Shenghao Yang
http://arxiv.org/abs/2107.03083v1
• [cs.IT]Semilinear transformations in coding theory and their application to cryptography
Wenshuo Guo, Fang-Wei Fu
http://arxiv.org/abs/2107.03157v1
• [cs.IT]Time-irreversibility tests for random-length time series: the matching-time approach applied to DNA
R. Salgado-García
http://arxiv.org/abs/2107.02795v1
• [cs.LG]A Survey of Uncertainty in Deep Neural Networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
http://arxiv.org/abs/2107.03342v1
• [cs.LG]ADAPT : Awesome Domain Adaptation Python Toolbox
Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis
http://arxiv.org/abs/2107.03049v1
• [cs.LG]AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
http://arxiv.org/abs/2107.02729v2
• [cs.LG]Bias-Tolerant Fair Classification
Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen
http://arxiv.org/abs/2107.03207v1
• [cs.LG]Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik
http://arxiv.org/abs/2107.02968v1
• [cs.LG]Differentiable Architecture Pruning for Transfer Learning
Nicolo Colombo, Yang Gao
http://arxiv.org/abs/2107.03375v1
• [cs.LG]Discrete-Valued Neural Communication
Dianbo Liu Dianbo_Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio
http://arxiv.org/abs/2107.02367v2
• [cs.LG]Distributed adaptive algorithm based on the asymmetric cost of error functions
Sihai Guan, Qing Cheng, Yong Zhao
http://arxiv.org/abs/2107.03067v1
• [cs.LG]Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization
Elias Frantar, Eldar Kurtic, Dan Alistarh
http://arxiv.org/abs/2107.03356v1
• [cs.LG]Episodic Bandits with Stochastic Experts
Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
http://arxiv.org/abs/2107.03263v1
• [cs.LG]Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde, Jared Kaplan, Harri Edwards, Yura Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, Will Guss, Alex Nichol, Igor Babuschkin, Suchir Balaji, Shantanu Jain, Andrew Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba
http://arxiv.org/abs/2107.03374v1
• [cs.LG]Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron
http://arxiv.org/abs/2107.03015v1
• [cs.LG]Exact Learning Augmented Naive Bayes Classifier
Shouta Sugahara, Maomi Ueno
http://arxiv.org/abs/2107.03018v1
• [cs.LG]Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
Kai Wang, Bryan Wilder, Sze-chuan Suen, Bistra Dilkina, Milind Tambe
http://arxiv.org/abs/2107.03003v1
• [cs.LG]Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach
Quan Duong, Dang Nguyen, Quoc Nguyen
http://arxiv.org/abs/2107.03080v1
• [cs.LG]Incorporating Label Uncertainty in Understanding Adversarial Robustness
Xiao Zhang, David Evans
http://arxiv.org/abs/2107.03250v1
• [cs.LG]Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network
Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey
http://arxiv.org/abs/2107.03187v1
• [cs.LG]KaFiStO: A Kalman Filtering Framework for Stochastic Optimization
Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvilli, Adam Bielski, Paolo Favaro
http://arxiv.org/abs/2107.03331v1
• [cs.LG]Keiki: Towards Realistic Danmaku Generation via Sequential GANs
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis
http://arxiv.org/abs/2107.02991v1
• [cs.LG]Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigoz, Daniel M. Gruen, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness
http://arxiv.org/abs/2107.02359v2
• [cs.LG]Logit-based Uncertainty Measure in Classification
Huiyu Wu, Diego Klabjan
http://arxiv.org/abs/2107.02845v1
• [cs.LG]Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan
http://arxiv.org/abs/2107.03354v1
• [cs.LG]On Codomain Separability and Label Inference from (Noisy) Loss Functions
Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier
http://arxiv.org/abs/2107.03022v1
• [cs.LG]Predicting with Confidence on Unseen Distributions
Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt
http://arxiv.org/abs/2107.03315v1
• [cs.LG]Principles for Evaluation of AI/ML Model Performance and Robustness
Olivia Brown, Andrew Curtis, Justin Goodwin
http://arxiv.org/abs/2107.02868v1
• [cs.LG]Probabilistic partition of unity networks: clustering based deep approximation
Nat Trask, Mamikon Gulian, Andy Huang, Kookjin Lee
http://arxiv.org/abs/2107.03066v1
• [cs.LG]Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework
Benoit Fuentes, Gaël Richard
http://arxiv.org/abs/2107.03317v1
• [cs.LG]Provable Lipschitz Certification for Generative Models
Matt Jordan, Alexandros G. Dimakis
http://arxiv.org/abs/rg/abs/2107.02732v1
• [cs.LG]RISAN: Robust Instance Specific Abstention Network
Bhavya Kalra, Kulin Shah, Naresh Manwani
http://arxiv.org/abs/2107.03090v1
• [cs.LG]Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries
Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich
http://arxiv.org/abs/2107.03336v1
• [cs.LG]Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
http://arxiv.org/abs/2107.02911v1
• [cs.LG]Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel Johnson, Jonathan Ho, Danny Tarlow, Rianne van den Berg
http://arxiv.org/abs/2107.03006v1
• [cs.LG]Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
Holden Lee, Chirag Pabbaraju, Anish Sevekari, Andrej Risteski
http://arxiv.org/abs/2107.02951v1
• [cs.NE]Growing and Evolving 3D Prints
Jon McCormack, Camilo Cruz Gambardella
http://arxiv.org/abs/2107.02976v1
• [cs.NE]Model-agnostic multi-objective approach for theevolutionary discovery of mathematical models
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
http://arxiv.org/abs/2107.03146v1
• [cs.NI]6G: from Densification to Diversification
Hyunsoo Kim, Taehyung Kim, Hyejin Kim, Insik Jung, Hakkeon Lee, Hyunmin Seo, Daesik Hong
http://arxiv.org/abs/2107.03046v1
• [cs.RO]Humans as Path-Finders for Safe Navigation
Alessandro Antonucci, Paolo Bevilacqua, Stefano Leonardi, Luigi Palopoli, Daniele Fontanelli
http://arxiv.org/abs/2107.03079v1
• [cs.RO]Learning Latent Actions to Control Assistive Robots
Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh
http://arxiv.org/abs/2107.02907v1
• [cs.RO]Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning
Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier
http://arxiv.org/abs/2107.03186v1
• [cs.RO]MPLP: Massively Parallelized Lazy Planning
Shohin Mukherjee, Sandip Aine, Maxim Likhachev
http://arxiv.org/abs/2107.02826v1
• [cs.RO]Maintaining a Reliable World Model using Action-aware Perceptual Anchoring
Ying Siu Liang, Dongkyu Choi, Kenneth Kwok
http://arxiv.org/abs/2107.03038v1
• [cs.RO]On the Robot Assisted Movement in Wireless Mobile Sensor Networks
Sajal K. Das, Rafał Kapelko
http://arxiv.org/abs/2107.03201v1
• [cs.RO]Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning
Taehei Kim, Sung-Hee Lee
http://arxiv.org/abs/2107.02955v1
• [cs.RO]RAM-VO: Less is more in Visual Odometry
Iury Cleveston, Esther L. Colombini
http://arxiv.org/abs/2107.02974v1
• [cs.RO]RRL: Resnet as representation for Reinforcement Learning
Rutav Shah, Vikash Kumar
http://arxiv.org/abs/2107.03380v1
• [cs.RO]Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations
Yuanxin Zhong, Huei Peng
http://arxiv.org/abs/2107.02981v1
• [cs.RO]RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
Antoine Dizet, Cédric Le Bono, Amélie Legeleux, Maëlic neau, Cédric Buche
http://arxiv.org/abs/2107.02978v1
• [cs.RO]Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives
Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev
http://arxiv.org/abs/2107.02829v1
• [cs.RO]Toward Robotically Automated Femoral Vascular Access
Nico Zevallos, Evan Harber, Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard Weiss, Michael R. Pinsky, Hernando Gomez, John Galeotti, Howie Choset
http://arxiv.org/abs/2107.02839v1
• [cs.RO]WaspL: Design of a Reconfigurable Logistic Robot for Hospital Settings
Yuyao Shi, Aamir Abdullah Hayat, Sivanantham Vinu, Mohan Rajesh Elara
http://arxiv.org/abs/2107.03002v1
• [cs.SD]MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification
Fangyuan Wang, Zhigang Song, Hongchen Jiang, Bo Xu
http://arxiv.org/abs/2107.03104v1
• [cs.SD]SoundStream: An End-to-End Neural Audio Codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, Marco Tagliasacchi
http://arxiv.org/abs/2107.03312v1
• [cs.SE]From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers
Hamid Shamszare, Razieh Saremi, Sanam Jena
http://arxiv.org/abs/2107.02890v1
• [cs.SI]Climate Change Conspiracy Theories on Social Media
Aman Tyagi, Kathleen M. Carley
http://arxiv.org/abs/2107.03318v1
• [cs.SI]Cognitive Contagion: How to model (and potentially counter) the spread of fake news
Nicholas Rabb, Lenore Cowen, Jan P. de Ruiter, Matthias Scheutz
http://arxiv.org/abs/2107.02828v1
• [cs.SI]Directed Network Laplacians and Random Graph Models
Xue Gong, Desmond John Higham, Konstantinos Zygalakis
http://arxiv.org/abs/2107.03026v1
• [cs.SI]Optimal Edge Weight Perturbations to Attack Shortest Paths
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
http://arxiv.org/abs/2107.03347v1
• [cs.SI]The Geography of Open Source Software: Evidence from GitHub
Johannes Wachs, Mariusz Nitecki, William Schueller, Axel Polleres
http://arxiv.org/abs/2107.03200v1
• [econ.EM]Estimation and Inference in Factor Copula Models with Exogenous Covariates
Alexander Mayer, Dominik Wied
http://arxiv.org/abs/2107.03366v1
• [eess.AS]A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio
Naoyuki Kanda, Xiong Xiao, Jian Wu, Tianyan Zhou, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka
http://arxiv.org/abs/2107.02852v1
• [eess.AS]Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
Huahuan Zheng, Wenjie Peng, Zhijian Ou, Jinsong Zhang
http://arxiv.org/abs/2107.03007v1
• [eess.IV]A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
Rao Muhammad Umer, Asad Munir, Christian Micheloni
http://arxiv.org/abs/2107.03145v1
• [eess.IV]AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation
Tim Cvetko
http://arxiv.org/abs/2107.03323v1
• [eess.IV]Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur
Alireza Asvadi, Guillaume Dardenne, Jocelyne Troccaz, Valerie Burdin
http://arxiv.org/abs/2107.03292v1
• [eess.IV]COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
Nam Nguyen, J. Morris Chang
http://arxiv.org/abs/2107.02672v2
• [eess.IV]End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data
Youssef S. G. Nashed, Frederic Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner
http://arxiv.org/abs/2107.02958v1
• [eess.IV]GAN-based Data Augmentation for Chest X-ray Classification
Shobhita Sundaram, Neha Hulkund
http://arxiv.org/abs/2107.02970v1
• [eess.IV]Image Complexity Guided Network Compression for Biomedical Image Segmentation
Suraj Mishra, Danny Z. Chen, X. Sharon Hu
http://arxiv.org/abs/2107.02927v1
• [eess.IV]Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang
http://arxiv.org/abs/2107.03035v1
• [eess.SY]DER Forecast using Privacy Preserving Federated Learning
Venkatesh Venkataramanan, Sridevi Kaza, Anuradha M. Annaswamy
http://arxiv.org/abs/2107.03248v1
• [hep-th]Non-rational Narain CFTs from codes over
Anatoly Dymarsky, Adar Sharon
http://arxiv.org/abs/2107.02816v1
• [math.NA]Samplets: A new paradigm for data compression
Helmut Harbrecht, Michael Multerer
http://arxiv.org/abs/2107.03337v1
• [math.OC]Distributed stochastic optimization with large delays
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye
http://arxiv.org/abs/2107.02919v1
• [math.ST]Bounded support in linear random coefficient models: Identification and variable selection
Philipp Hermann, Hajo Holzmann
http://arxiv.org/abs/2107.03245v1
• [math.ST]Distance correlation for long-range dependent time series
Annika Betken, Herold Dehling
http://arxiv.org/abs/2107.03041v1
• [math.ST]Distance covariance for random fields
Muneya Matsui, Thomas Mikosch, Rasool Roozegar, Laleh Tafakori
http://arxiv.org/abs/2107.03162v1
• [math.ST]High dimensional precision matrix estimation under weak sparsity
Zeyu Wu, Cheng Wang, Weidong Liu
http://arxiv.org/abs/2107.02999v1
• [math.ST]Randomization-based Test for Censored Outcomes: A New Look at the Logrank Test
Xinran Li, Dylan S. Small
http://arxiv.org/abs/2107.02849v1
• [physics.flu-dyn]A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows
T. S. Sachin Venkatesh, Rajat Srivastava, Pratyush Bhatt, Prince Tyagi, Raj Kumar Singh
http://arxiv.org/abs/2107.03361v1
• [q-bio.NC]Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
http://arxiv.org/abs/2107.03220v1
• [q-bio.QM]Mid infrared spectroscopy and milk quality traits: a data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2021”
Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, Katarina Domijan, Federico Ferraccioli, Elena Hayes, Georgiana Ifrim, Agnieszka Konkolewska, Thach Le Nguyen, Uche Mbaka, Giovanna Ranzato, Ashish Singh, Marco Stefanucci, Alessandro Casa
http://arxiv.org/abs/2107.02906v1
• [quant-ph]A Leap among Entanglement and Neural Networks: A Quantum Survey
Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi
http://arxiv.org/abs/2107.03313v1
• [stat.AP]Assessing the forensic value of DNA evidence from Y chromosomes and mitogenomes
Mikkel M Andersen, David J Balding
http://arxiv.org/abs/2107.03289v1
• [stat.AP]Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Luka Grbčić, Siniša Družeta, Goran Mauša, Tomislav Lipić, Darija Vukić Lušić, Marta Alvir, Ivana Lučin, Ante Sikirica, Davor Davidović, Vanja Travaš, Daniela Kalafatović, Kristina Pikelj, Hana Fajković, Lado Kranjčević
http://arxiv.org/abs/2107.03230v1
• [stat.AP]Patient-reported outcomes in the context of the benefit assessment in Germany
Sarah Böhme, Christoph Gerlinger, Susanne Huschens, Annett Kucka, Niclas Kürschner, Friedhelm Leverkus, Michael Schlichting, Waldemar Siemens, Kati Sternberg, Liping Hofmann-Xu
http://arxiv.org/abs/2107.03249v1
• [stat.ME]An application of time truncated single acceptance sampling inspection plan based on transmuted Rayleigh distribution
Harsh Tripathi, Mahendra Saha
http://arxiv.org/abs/2107.02903v1
• [stat.ME]Non-Homogeneity Estimation and Universal Kriging on the Sphere
Nicholas W. Bussberg, Jacob Shields, Chunfeng Huang
http://arxiv.org/abs/2107.02871v1
• [stat.ME]Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression
David Kepplinger
http://arxiv.org/abs/2107.03325v1
• [stat.ME]Variable selection in convex quantile regression: L1-norm or L0-norm regularization?
Sheng Dai
http://arxiv.org/abs/2107.03119v1
• [stat.ME]When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
Mark Rubin
http://arxiv.org/abs/2107.02947v1
• [stat.ML]A Closed-Form Approximation to the Conjugate Prior of the Dirichlet and Beta Distributions
Kaspar Thommen
http://arxiv.org/abs/2107.03183v1
• [stat.ML]An algorithmic view of regularization and some path-following algorithms
Yunzhang Zhu, Renxiong Liu
http://arxiv.org/abs/2107.03322v1
• [stat.ML]Combined Global and Local Search for Optimization with Gaussian Process Models
Qun Meng, Songhao Wang, Szu Hui Ng
http://arxiv.org/abs/2107.03217v1
• [stat.ML]MD-split+: Practical Local Conformal Inference in High Dimensions
Benjamin LeRoy, David Zhao
http://arxiv.org/abs/2107.03280v1
• [stat.ML]Neural Contextual Bandits without Regret
Parnian Kassraie, Andreas Krause
http://arxiv.org/abs/2107.03144v1
• [stat.ML]New Methods and Datasets for Group Anomaly Detection From Fundamental Physics
Gregor Kasieczka, Benjamin Nachman, David Shih
http://arxiv.org/abs/2107.02821v1
• [stat.ML]Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
Dhruv V Patel, Deep Ray, Assad A Oberai
http://arxiv.org/abs/2107.02926v1
• [stat.ML]Test for non-negligible adverse shifts
Vathy M. Kamulete
http://arxiv.org/abs/2107.02990v1
• [stat.ML]Transfer Learning in Information Criteria-based Feature Selection
Shaohan Chen, Nikolaos V. Sahinidis, Chuanhou Gao
http://arxiv.org/abs/2107.02847v1