astro-ph.SR - 太阳和天体物理学恒星
cond-mat.stat-mech - 统计数学
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.DS - 数据结构与算法
cs.GR - 计算机图形学
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.SI - 社交网络与信息网络
econ.GN - 一般经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.AT - 代数拓扑
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.flu-dyn - 流体动力学
physics.med-ph - 医学物理学
q-fin.PM - 投资组合管理
q-fin.ST - 统计金融学
quant-ph - 量子物理
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
• [astro-ph.SR]Deep Learning Based Reconstruction of Total Solar Irradiance
• [cond-mat.stat-mech]Optimization on manifolds: A symplectic approach
• [cs.AI]HURRA! Human readable router anomaly detection
• [cs.AI]User Preferences and the Shortest Path
• [cs.CL]A Differentiable Language Model Adversarial Attack on Text Classifiers
• [cs.CL]Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
• [cs.CL]FNetAR: Mixing Tokens with Autoregressive Fourier Transforms
• [cs.CL]Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
• [cs.CL]Improving Early Sepsis Prediction with Multi Modal Learning
• [cs.CL]Modeling Bilingual Conversational Characteristics for Neural Chat Translation
• [cs.CL]Modelling Latent Translations for Cross-Lingual Transfer
• [cs.CL]OLR 2021 Challenge: Datasets, Rules and Baselines
• [cs.CL]Powering Effective Climate Communication with a Climate Knowledge Base
• [cs.CL]When a crisis strikes: Emotion analysis and detection during COVID-19
• [cs.CR]Dynamic detection of mobile malware using smartphone data and machine learning
• [cs.CR]Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability
• [cs.CV]A Deep Signed Directional Distance Function for Object Shape Representation
• [cs.CV]Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
• [cs.CV]Bias Loss for Mobile Neural Networks
• [cs.CV]Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation
• [cs.CV]Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
• [cs.CV]Detail Preserving Residual Feature Pyramid Modules for Optical Flow
• [cs.CV]Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
• [cs.CV]Domain Adaptive Video Segmentation via Temporal Consistency Regularization
• [cs.CV]Exploring Deep Registration Latent Spaces
• [cs.CV]Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution
• [cs.CV]Human Pose Regression with Residual Log-likelihood Estimation
• [cs.CV]Human Pose Transfer with Disentangled Feature Consistency
• [cs.CV]Image-to-Image Translation with Low Resolution Conditioning
• [cs.CV]Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments
• [cs.CV]Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition
• [cs.CV]Learning Discriminative Representations for Multi-Label Image Recognition
• [cs.CV]MCDAL: Maximum Classifier Discrepancy for Active Learning
• [cs.CV]Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
• [cs.CV]Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
• [cs.CV]Provident Vehicle Detection at Night for Advanced Driver Assistance Systems
• [cs.CV]Pruning Ternary Quantization
• [cs.CV]Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
• [cs.CV]Reservoir Computing Approach for Gray Images Segmentation
• [cs.CV]Resource Efficient Mountainous Skyline Extraction using Shallow Learning
• [cs.CV]RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image
• [cs.CV]Score-Based Point Cloud Denoising
• [cs.CV]Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
• [cs.CV]SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
• [cs.CV]Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery
• [cs.CV]Transporting Causal Mechanisms for Unsupervised Domain Adaptation
• [cs.CV]Unrealistic Feature Suppression for Generative Adversarial Networks
• [cs.CV]Unsupervised Domain Adaptation for Video Semantic Segmentation
• [cs.CV]Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
• [cs.CV]WaveFill: A Wavelet-based Generation Network for Image Inpainting
• [cs.CY]User Perception of Privacy with Ubiquitous Devices
• [cs.DC]A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing
• [cs.DC]How to Trust Strangers: Composition of Byzantine Quorum Systems
• [cs.DC]Layer 2 Blockchain Scaling: a Survey
• [cs.DC]Making Reads in BFT State Machine Replication Fast, Linearizable, and Live
• [cs.DC]Octo-Tiger’s New Hydro Module and Performance Using HPX+CUDA on ORNL’s Summit
• [cs.DS]Robust Adaptive Submodular Maximization
• [cs.GR]SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
• [cs.IR]Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study
• [cs.IR]What are you optimizing for? Aligning Recommender Systems with Human Values
• [cs.IT]Beamforming Design and Power Allocation for Transmissive RMS-based Transmitter Architectures
• [cs.IT]Decentralized Design of Fast Iterative Receivers for Massive and Extreme-Large MIMO Systems
• [cs.IT]Entropy, Derivation Operators and Huffman Trees
• [cs.IT]On shared and multiple information
• [cs.IT]Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel
• [cs.IT]The geometry of non-additive stabiliser codes
• [cs.IT]Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
• [cs.LG]A novel meta-learning initialization method for physics-informed neural networks
• [cs.LG]Adaptively Weighted Top-N Recommendation for Organ Matching
• [cs.LG]An Adaptive State Aggregation Algorithm for Markov Decision Processes
• [cs.LG]Communication Efficiency in Federated Learning: Achievements and Challenges
• [cs.LG]Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
• [cs.LG]Constellation: Learning relational abstractions over objects for compositional imagination
• [cs.LG]Data-driven deep density estimation
• [cs.LG]Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
• [cs.LG]Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring
• [cs.LG]Estimating Predictive Uncertainty Under Program Data Distribution Shift
• [cs.LG]Federated Learning Versus Classical Machine Learning: A Convergence Comparison
• [cs.LG]Generative adversarial networks in time series: A survey and taxonomy
• [cs.LG]Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
• [cs.LG]High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
• [cs.LG]Implicit Rate-Constrained Optimization of Non-decomposable Objectives
• [cs.LG]Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift
• [cs.LG]LocalGLMnet: interpretable deep learning for tabular data
• [cs.LG]Machine Learning with a Reject Option: A survey
• [cs.LG]Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
• [cs.LG]Rethinking Hard-Parameter Sharing in Multi-Task Learning
• [cs.LG]Structack: Structure-based Adversarial Attacks on Graph Neural Networks
• [cs.LG]Taxonomizing local versus global structure in neural network loss landscapes
• [cs.LG]Teaching a neural network with non-tunable exciton-polariton nodes
• [cs.LG]VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
• [cs.LG]Wavelet Design in a Learning Framework
• [cs.NE]Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications
• [cs.RO]3D Radar Velocity Maps for Uncertain Dynamic Environments
• [cs.RO]A Flexible Exoskeleton for Collision Resilience
• [cs.RO]Aggressive Visual Perching with Quadrotors on Inclined Surfaces
• [cs.RO]An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN
• [cs.RO]Automatic Construction of Lane-level HD Maps for Urban Scenes
• [cs.RO]Bio-inspired Rhythmic Locomotion in a Six-Legged Robot
• [cs.RO]Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions
• [cs.RO]Design of the Propulsion System of Nano satellite: StudSat2
• [cs.RO]DronePaint: Swarm Light Painting with DNN-based Gesture Recognition
• [cs.RO]Learning Quadruped Locomotion Policies with Reward Machines
• [cs.RO]Reciprocal Multi-Robot Collision Avoidance with Asymmetric State Uncertainty
• [cs.RO]Technical Report: Distributed Sampling-based Planning for Non-Myopic Active Information Gathering
• [cs.SD]Multi-Channel Automatic Music Transcription Using Tensor Algebra
• [cs.SI]SNAC: An Unbiased Metric Evaluating Topology Recognize Ability of Network Alignment
• [econ.GN]COVID-19 and the gig economy in Poland
• [eess.IV]3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image
• [eess.IV]AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
• [eess.IV]Cardiac CT segmentation based on distance regularized level set
• [eess.IV]Dynamic Proximal Unrolling Network for Compressive Sensing Imaging
• [eess.IV]Photon-Starved Scene Inference using Single Photon Cameras
• [eess.SP]Resolution-Adaptive All-Digital Spatial Equalization for mmWave Massive MU-MIMO
• [math.AT]Graph Pseudometrics from a Topological Point of View
• [math.OC]Data-driven optimization of reliability using buffered failure probability
• [math.OC]Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
• [math.OC]Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark
• [math.PR]Signature asymptotics, empirical processes, and optimal transport
• [math.ST]A note on sharp oracle bounds for Slope and Lasso
• [math.ST]Bootstrapping Whittle Estimators
• [math.ST]Laplace and Saddlepoint Approximations in High Dimensions
• [physics.flu-dyn]Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
• [physics.med-ph]Introducing: DeepHead, Wide-band Electromagnetic Imaging Paradigm
• [q-fin.PM]Optimum Risk Portfolio and Eigen Portfolio: A Comparative Analysis Using Selected Stocks from the Indian Stock Market
• [q-fin.ST]Reference Class Selection in Similarity-Based Forecasting of Sales Growth
• [quant-ph]RGB Image Classification with Quantum Convolutional Ansaetze
• [stat.AP]Multivariate Methods for Detection of Rubbery Rot in Storage Apples by Monitoring Volatile Organic Compounds: An Example of Multivariate Generalised Mixed Models
• [stat.AP]RiLACS: Risk-Limiting Audits via Confidence Sequences
• [stat.CO]On Integral Theorems: Monte Carlo Estimators and Optimal Functions
• [stat.ME]A hierarchical prior for generalized linear models based on predictions for the mean response
• [stat.ME]Bayesian Precision Factor Analysis for High-dimensional Sparse Gaussian Graphical Models
• [stat.ME]Estimating survival parameters under conditionally independent left truncation
• [stat.ME]Estimation of sparse linear dynamic networks using the stable spline horseshoe prior
• [stat.ME]Inference for High Dimensional Censored Quantile Regression
• [stat.ME]Kernel regression for cause-specific hazard models with time-dependent coefficients
• [stat.ME]Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and A Novel Solution via Sensitivity Analysis
• [stat.ME]Robust Estimation of High-Dimensional Vector Autoregressive Models
• [stat.ML]A comparison of combined data assimilation and machine learning methods for offline and online model error correction
• [stat.ML]A local approach to parameter space reduction for regression and classification tasks
• [stat.ML]Joint Shapley values: a measure of joint feature importance
• [stat.ML]Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation
• [stat.ML]State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics
• [stat.ML]Structured second-order methods via natural gradient descent
• [stat.ML]The decomposition of the higher-order homology embedding constructed from the -Laplacian
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• [astro-ph.SR]Deep Learning Based Reconstruction of Total Solar Irradiance
Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
http://arxiv.org/abs/2107.11042v1
• [cond-mat.stat-mech]Optimization on manifolds: A symplectic approach
Guilherme França, Alessandro Barp, Mark Girolami, Michael I. Jordan
http://arxiv.org/abs/2107.11231v1
• [cs.AI]HURRA! Human readable router anomaly detection
Jose M. Navarro, Dario Rossi
http://arxiv.org/abs/2107.11078v1
• [cs.AI]User Preferences and the Shortest Path
Isabella Kreller, Bernd Ludwig
http://arxiv.org/abs/2107.11150v1
• [cs.CL]A Differentiable Language Model Adversarial Attack on Text Classifiers
Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev
http://arxiv.org/abs/2107.11275v1
• [cs.CL]Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache
http://arxiv.org/abs/2107.10922v1
• [cs.CL]FNetAR: Mixing Tokens with Autoregressive Fourier Transforms
Tim Lou, Michael Park, Mohammad Ramezanali, Vincent Tang
http://arxiv.org/abs/2107.10932v1
• [cs.CL]Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
Qinkai Chen, Christian-Yann Robert
http://arxiv.org/abs/2107.10941v1
• [cs.CL]Improving Early Sepsis Prediction with Multi Modal Learning
Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha Kass-Hout
http://arxiv.org/abs/2107.11094v1
• [cs.CL]Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
http://arxiv.org/abs/2107.11164v1
• [cs.CL]Modelling Latent Translations for Cross-Lingual Transfer
Edoardo Maria Ponti, Julia Kreutzer, Ivan Vulić, Siva Reddy
http://arxiv.org/abs/2107.11353v1
• [cs.CL]OLR 2021 Challenge: Datasets, Rules and Baselines
Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang
http://arxiv.org/abs/2107.11113v1
• [cs.CL]Powering Effective Climate Communication with a Climate Knowledge Base
Kameron B. Rodrigues, Shweta Khushu, Mukut Mukherjee, Andrew Banister, Anthony Hevia, Sampath Duddu, Nikita Bhutani
http://arxiv.org/abs/2107.11351v1
• [cs.CL]When a crisis strikes: Emotion analysis and detection during COVID-19
Alexander Tekle, Chau Pham, Cornelia Caragea, Junyi Jessy Li
http://arxiv.org/abs/2107.11020v1
• [cs.CR]Dynamic detection of mobile malware using smartphone data and machine learning
J. S. Panman de Wit, J. van der Ham, D. Bucur
http://arxiv.org/abs/2107.11167v1
• [cs.CR]Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability
Benjamin Marais, Tony Quertier, Christophe Chesneau
http://arxiv.org/abs/2107.11100v1
• [cs.CV]A Deep Signed Directional Distance Function for Object Shape Representation
Ehsan Zobeidi, Nikolay Atanasov
http://arxiv.org/abs/2107.11024v1
• [cs.CV]Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation
Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin
http://arxiv.org/abs/2107.11252v1
• [cs.CV]Bias Loss for Mobile Neural Networks
Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis
http://arxiv.org/abs/2107.11170v1
• [cs.CV]Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation
Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren
http://arxiv.org/abs/2107.11091v1
• [cs.CV]Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, Tzu-Yi Hung
http://arxiv.org/abs/2107.11267v1
• [cs.CV]Detail Preserving Residual Feature Pyramid Modules for Optical Flow
Libo Long, Jochen Lang
http://arxiv.org/abs/2107.10990v1
• [cs.CV]Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
Hermann Baumgartl, Ricardo Buettner
http://arxiv.org/abs/2107.11187v1
• [cs.CV]Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu
http://arxiv.org/abs/2107.11004v1
• [cs.CV]Exploring Deep Registration Latent Spaces
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch
http://arxiv.org/abs/2107.11238v1
• [cs.CV]Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution
Patrik Puchert, Timo Ropinski
http://arxiv.org/abs/2107.11214v1
• [cs.CV]Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu
http://arxiv.org/abs/2107.11291v1
• [cs.CV]Human Pose Transfer with Disentangled Feature Consistency
Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding
http://arxiv.org/abs/2107.10984v1
• [cs.CV]Image-to-Image Translation with Low Resolution Conditioning
Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde, Christian Gagne
http://arxiv.org/abs/2107.11262v1
• [cs.CV]Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments
Manish Bhattarai
http://arxiv.org/abs/2107.11043v1
• [cs.CV]Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition
Shasha Mao, Guanghui Shi, Licheng Jiao, Shuiping Gou, Yangyang Li, Lin Xiong, Boxin Shi
http://arxiv.org/abs/2107.11061v1
• [cs.CV]Learning Discriminative Representations for Multi-Label Image Recognition
Mohammed Hassanin, Ibrahim Radwan, Salman Khan, Murat Tahtali
http://arxiv.org/abs/2107.11159v1
• [cs.CV]MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae Won Cho, Dong-Jin Kim, Yunjae Jung, In So Kweon
http://arxiv.org/abs/2107.11049v1
• [cs.CV]Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
Ben Saunders, Ne
1000
cati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2107.11317v1
• [cs.CV]Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
Napat Wanchaitanawong, Masayuki Tanaka, Takashi Shibata, Masatoshi Okutomi
http://arxiv.org/abs/2107.11196v1
• [cs.CV]Provident Vehicle Detection at Night for Advanced Driver Assistance Systems
Lukas Ewecker, Ebubekir Asan, Lars Ohnemus, Sascha Saralajew
http://arxiv.org/abs/2107.11302v1
• [cs.CV]Pruning Ternary Quantization
Dan Liu, Xi Chen, Jie Fu, Xue Liu
http://arxiv.org/abs/2107.10998v1
• [cs.CV]Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He, Jihan Yang, Xiaojuan Qi
http://arxiv.org/abs/2107.11279v1
• [cs.CV]Reservoir Computing Approach for Gray Images Segmentation
Petia Koprinkova-Hristova
http://arxiv.org/abs/2107.11077v1
• [cs.CV]Resource Efficient Mountainous Skyline Extraction using Shallow Learning
Touqeer Ahmad, Ebrahim Emami, Martin Čadík, George Bebis
http://arxiv.org/abs/2107.10997v1
• [cs.CV]RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image
Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park
http://arxiv.org/abs/2107.11041v1
• [cs.CV]Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
http://arxiv.org/abs/2107.10981v1
• [cs.CV]Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
http://arxiv.org/abs/2107.11264v1
• [cs.CV]SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato
http://arxiv.org/abs/2107.11298v1
• [cs.CV]Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang
http://arxiv.org/abs/2107.11320v1
• [cs.CV]Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Zhongqi Yue, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua
http://arxiv.org/abs/2107.11055v1
• [cs.CV]Unrealistic Feature Suppression for Generative Adversarial Networks
Sanghun Kim, SeungKyu Lee
http://arxiv.org/abs/2107.11047v1
• [cs.CV]Unsupervised Domain Adaptation for Video Semantic Segmentation
Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon
http://arxiv.org/abs/2107.11052v1
• [cs.CV]Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu
http://arxiv.org/abs/2107.11355v1
• [cs.CV]WaveFill: A Wavelet-based Generation Network for Image Inpainting
Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, Chunyan Miao
http://arxiv.org/abs/2107.11027v1
• [cs.CY]User Perception of Privacy with Ubiquitous Devices
Priyam Rajkhowa, Pradipta Biswas
http://arxiv.org/abs/2107.11029v1
• [cs.DC]A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing
Mingyue Ji, Xiang Zhang, Kai Wan
http://arxiv.org/abs/2107.09657v2
• [cs.DC]How to Trust Strangers: Composition of Byzantine Quorum Systems
Orestis Alpos, Christian Cachin, Luca Zanolini
http://arxiv.org/abs/2107.11331v1
• [cs.DC]Layer 2 Blockchain Scaling: a Survey
Cosimo Sguanci, Roberto Spatafora, Andrea Mario Vergani
http://arxiv.org/abs/2107.10881v1
• [cs.DC]Making Reads in BFT State Machine Replication Fast, Linearizable, and Live
Christian Berger, Hans P. Reiser, Alysson Bessani
http://arxiv.org/abs/2107.11144v1
• [cs.DC]Octo-Tiger’s New Hydro Module and Performance Using HPX+CUDA on ORNL’s Summit
Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Dirk Pflüger
http://arxiv.org/abs/2107.10987v1
• [cs.DS]Robust Adaptive Submodular Maximization
Shaojie Tang
http://arxiv.org/abs/2107.11333v1
• [cs.GR]SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
Mehdi Mousavi, Rolando Estrada
http://arxiv.org/abs/2107.11008v1
• [cs.IR]Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study
Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco
http://arxiv.org/abs/2107.09480v3
• [cs.IR]What are you optimizing for? Aligning Recommender Systems with Human Values
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell
http://arxiv.org/abs/2107.10939v1
• [cs.IT]Beamforming Design and Power Allocation for Transmissive RMS-based Transmitter Architectures
Zhendong Li, Wen Chen, Huanqing Cao
http://arxiv.org/abs/2107.11013v1
• [cs.IT]Decentralized Design of Fast Iterative Receivers for Massive and Extreme-Large MIMO Systems
Victor Croisfelt, Taufik Abrão, Abolfazl Amiri, Elisabeth de Carvalho, Petar Popovski
http://arxiv.org/abs/2107.11349v1
• [cs.IT]Entropy, Derivation Operators and Huffman Trees
Simon Burton
http://arxiv.org/abs/2107.11208v1
• [cs.IT]On shared and multiple information
Cesare Magri
http://arxiv.org/abs/2107.11032v1
• [cs.IT]Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel
Chandradeep Singh, Chia Hsiang Lin
http://arxiv.org/abs/2107.10937v1
• [cs.IT]The geometry of non-additive stabiliser codes
Simeon Ball, Pablo Puig
http://arxiv.org/abs/2107.11281v1
• [cs.IT]Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang, Xianbin Cao, Dezhi Zheng, Yue Gao, Derrick Wing Kwan Ng, Marco Di Renzo
http://arxiv.org/abs/2107.11015v1
• [cs.LG]A novel meta-learning initialization method for physics-informed neural networks
Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
http://arxiv.org/abs/2107.10991v1
• [cs.LG]Adaptively Weighted Top-N Recommendation for Organ Matching
Parshin Shojaee, Xiaoyu Chen, Ran Jin
http://arxiv.org/abs/2107.10971v1
• [cs.LG]An Adaptive State Aggregation Algorithm for Markov Decision Processes
Guanting Chen, Johann Demetr
1000
io Gaebler, Matt Peng, Chunlin Sun, Yinyu Ye
http://arxiv.org/abs/2107.11053v1
• [cs.LG]Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao
http://arxiv.org/abs/2107.10996v1
• [cs.LG]Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
Andrey Zhmoginov, Dina Bashkirova, Mark Sandler
http://arxiv.org/abs/2107.10963v1
• [cs.LG]Constellation: Learning relational abstractions over objects for compositional imagination
James C. R. Whittington, Rishabh Kabra, Loic Matthey, Christopher P. Burgess, Alexander Lerchner
http://arxiv.org/abs/2107.11153v1
• [cs.LG]Data-driven deep density estimation
Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
http://arxiv.org/abs/2107.11085v1
• [cs.LG]Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
Xuan Kan, Hejie Cui, Ying Guo, Carl Yang
http://arxiv.org/abs/2107.11247v1
• [cs.LG]Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring
Enrique Fernandez-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero
http://arxiv.org/abs/2107.11045v1
• [cs.LG]Estimating Predictive Uncertainty Under Program Data Distribution Shift
Yufei Li, Simin Chen, Wei Yang
http://arxiv.org/abs/2107.10989v1
• [cs.LG]Federated Learning Versus Classical Machine Learning: A Convergence Comparison
Muhammad Asad, Ahmed Moustafa, Takayuki Ito
http://arxiv.org/abs/2107.10976v1
• [cs.LG]Generative adversarial networks in time series: A survey and taxonomy
Eoin Brophy, Zhengwei Wang, Qi She, Tomas Ward
http://arxiv.org/abs/2107.11098v1
• [cs.LG]Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin
http://arxiv.org/abs/2107.11350v1
• [cs.LG]High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang
http://arxiv.org/abs/2107.11136v1
• [cs.LG]Implicit Rate-Constrained Optimization of Non-decomposable Objectives
Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter
http://arxiv.org/abs/2107.10960v1
• [cs.LG]Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift
Pinzhuo Tian, Yao Gao
http://arxiv.org/abs/2107.11056v1
• [cs.LG]LocalGLMnet: interpretable deep learning for tabular data
Ronald Richman, Mario V. Wüthrich
http://arxiv.org/abs/2107.11059v1
• [cs.LG]Machine Learning with a Reject Option: A survey
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis
http://arxiv.org/abs/2107.11277v1
• [cs.LG]Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Shengpu Tang, Jenna Wiens
http://arxiv.org/abs/2107.11003v1
• [cs.LG]Rethinking Hard-Parameter Sharing in Multi-Task Learning
Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan
http://arxiv.org/abs/2107.11359v1
• [cs.LG]Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern
http://arxiv.org/abs/2107.11327v1
• [cs.LG]Taxonomizing local versus global structure in neural network loss landscapes
Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
http://arxiv.org/abs/2107.11228v1
• [cs.LG]Teaching a neural network with non-tunable exciton-polariton nodes
Andrzej Opala, Riccardo Panico, Vincenzo Ardizzone, Barbara Pietka, Jacek Szczytko, Daniele Sanvitto, Michał Matuszewski, Dario Ballarini
http://arxiv.org/abs/2107.11156v1
• [cs.LG]VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
http://arxiv.org/abs/2107.11011v1
• [cs.LG]Wavelet Design in a Learning Framework
Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula
http://arxiv.org/abs/2107.11225v1
• [cs.NE]Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications
Wilfried Jakob
http://arxiv.org/abs/2107.11300v1
• [cs.RO]3D Radar Velocity Maps for Uncertain Dynamic Environments
Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer
http://arxiv.org/abs/2107.11039v1
• [cs.RO]A Flexible Exoskeleton for Collision Resilience
Ricardo de Azambuja, Hassan Fouad, Giovanni Beltrame
http://arxiv.org/abs/2107.11090v1
• [cs.RO]Aggressive Visual Perching with Quadrotors on Inclined Surfaces
Jeffrey Mao, Guanrui Li, Stephen Nogar, Christopher Kroninger, Giuseppe Loianno
http://arxiv.org/abs/2107.11171v1
• [cs.RO]An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN
Fei Zhang, Chaochen Gu, Feng Yang
http://arxiv.org/abs/2107.11245v1
• [cs.RO]Automatic Construction of Lane-level HD Maps for Urban Scenes
Yiyang Zhou, Yuichi Takeda, Masayoshi Tomizuka, Wei Zhan
http://arxiv.org/abs/2107.10972v1
• [cs.RO]Bio-inspired Rhythmic Locomotion in a Six-Legged Robot
Advait Lonkar, Sarthak Khoche, Shrisha Rao
http://arxiv.org/abs/2107.11125v1
• [cs.RO]Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions
Jacob J. Johnson, Michael C. Yip
http://arxiv.org/abs/2107.10953v1
• [cs.RO]Design of the Propulsion System of Nano satellite: StudSat2
Roshan Sah, Prabin Sherpaili, Apurva Anand, Sandesh Hegde
http://arxiv.org/abs/2107.10992v1
• [cs.RO]DronePaint: Swarm Light Painting with DNN-based Gesture Recognition
Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev, Stepan Perminov, Dzmitry Tsetserukou
http://arxiv.org/abs/2107.11288v1
• [cs.RO]Learning Quadruped Locomotion Policies with Reward Machines
David DeFazio, Shiqi Zhang
http://arxiv.org/abs/2107.10969v1
• [cs.RO]Reciprocal Multi-Robot Collision Avoidance with Asymmetric State Uncertainty
Kunal Shah, Guillermo Angeris, Mac Schwager
http://arxiv.org/abs/2107.10956v1
• [cs.RO]Technical Report: Distributed Sampling-based Planning for Non-Myopic Active Information Gathering
Mariliza Tzes, Yiannis Kantaros, George J. Pappas
http://arxiv.org/abs/2107.11163v1
• [cs.SD]Multi-Channel Automatic Music Transcription Using Tensor Algebra
Axel Marmoret, Nancy Bertin, Jeremy Cohen
http://arxiv.org/abs/2107.11250v1
• [cs.SI]SNAC: An Unbiased Metric Evaluating Topology Recognize Ability of Network Alignment
Hailong Li, Naiyue Chen
http://arxiv.org/abs/2107.11084v1
• [econ.GN]COVID-19 and the gig economy in Poland
Maciej Be
1000
ręsewicz, Dagmara Nikulin
http://arxiv.org/abs/2107.11124v1
• [eess.IV]3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image
Bowen Hu, Baiying Lei, Yong Liu, Min Gan, Bingchuan Wang, Shuqiang Wang
http://arxiv.org/abs/2107.11010v1
• [eess.IV]AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
Kai Yao, Kaizhu Huang, Jie Sun, Curran Jude
http://arxiv.org/abs/2107.11022v1
• [eess.IV]Cardiac CT segmentation based on distance regularized level set
Xinyang Wu
http://arxiv.org/abs/2107.11119v1
• [eess.IV]Dynamic Proximal Unrolling Network for Compressive Sensing Imaging
Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu
http://arxiv.org/abs/2107.11007v1
• [eess.IV]Photon-Starved Scene Inference using Single Photon Cameras
Bhavya Goyal, Mohit Gupta
http://arxiv.org/abs/2107.11001v1
• [eess.SP]Resolution-Adaptive All-Digital Spatial Equalization for mmWave Massive MU-MIMO
Oscar Castañeda, Seyed Hadi Mirfarshbafan, Shahaboddin Ghajari, Alyosha Molnar, Sven Jacobsson, Giuseppe Durisi, Christoph Studer
http://arxiv.org/abs/2107.11073v1
• [math.AT]Graph Pseudometrics from a Topological Point of View
Ana Lucia Garcia-Pulido, Kathryn Hess, Jane Tan, Katharine Turner, Bei Wang, Naya Yerolemou
http://arxiv.org/abs/2107.11329v1
• [math.OC]Data-driven optimization of reliability using buffered failure probability
Ji-Eun Byun, Johannes O. Royset
http://arxiv.org/abs/2107.11176v1
• [math.OC]Finite-Bit Quantization For Distributed Algorithms With Linear Convergence
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
http://arxiv.org/abs/2107.11304v1
• [math.OC]Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark
Mohammad Nabi Omidvar, Danial Yazdani, Juergen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao
http://arxiv.org/abs/2107.11019v1
• [math.PR]Signature asymptotics, empirical processes, and optimal transport
Thomas Cass, Remy Messadene
http://arxiv.org/abs/2107.11203v1
• [math.ST]A note on sharp oracle bounds for Slope and Lasso
Zhiyong Zhou
http://arxiv.org/abs/2107.10974v1
• [math.ST]Bootstrapping Whittle Estimators
Jens-Peter Kreiss, Efstathios Paparoditis
http://arxiv.org/abs/2107.11270v1
• [math.ST]Laplace and Saddlepoint Approximations in High Dimensions
Yanbo Tang, Nancy Reid
http://arxiv.org/abs/2107.10885v1
• [physics.flu-dyn]Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
Brendan Keith, Ustim Khristenko, Barbara Wohlmuth
http://arxiv.org/abs/2107.11046v1
• [physics.med-ph]Introducing: DeepHead, Wide-band Electromagnetic Imaging Paradigm
A. Al-Saffar, L. Guo, A. Abbosh
http://arxiv.org/abs/2107.11107v1
• [q-fin.PM]Optimum Risk Portfolio and Eigen Portfolio: A Comparative Analysis Using Selected Stocks from the Indian Stock Market
Jaydip Sen, Sidra Mehtab
http://arxiv.org/abs/2107.11371v1
• [q-fin.ST]Reference Class Selection in Similarity-Based Forecasting of Sales Growth
Etienne Theising, Dominik Wied, Daniel Ziggel
http://arxiv.org/abs/2107.11133v1
• [quant-ph]RGB Image Classification with Quantum Convolutional Ansaetze
Yu Jing, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Xiaogang Li, Hua Xu
http://arxiv.org/abs/2107.11099v1
• [stat.AP]Multivariate Methods for Detection of Rubbery Rot in Storage Apples by Monitoring Volatile Organic Compounds: An Example of Multivariate Generalised Mixed Models
J. S. Pelck, H. Holthusen, M. Edelenbos, A. Luca, R. Labouriau
http://arxiv.org/abs/2107.11233v1
• [stat.AP]RiLACS: Risk-Limiting Audits via Confidence Sequences
Ian Waudby-Smith, Philip B. Stark, Aaditya Ramdas
http://arxiv.org/abs/2107.11323v1
• [stat.CO]On Integral Theorems: Monte Carlo Estimators and Optimal Functions
Nhat Ho, Stephen G. Walker
http://arxiv.org/abs/2107.10947v1
• [stat.ME]A hierarchical prior for generalized linear models based on predictions for the mean response
Ethan M. Alt, Matthew A. Psioda, Joseph G. Ibrahim
http://arxiv.org/abs/2107.11195v1
• [stat.ME]Bayesian Precision Factor Analysis for High-dimensional Sparse Gaussian Graphical Models
Noirrit Kiran Chandra, Peter Mueller, Abhra Sarkar
http://arxiv.org/abs/2107.11316v1
• [stat.ME]Estimating survival parameters under conditionally independent left truncation
Arjun Sondhi
http://arxiv.org/abs/2107.10911v1
• [stat.ME]Estimation of sparse linear dynamic networks using the stable spline horseshoe prior
Gianluigi Pillonetto
http://arxiv.org/abs/2107.11155v1
• [stat.ME]Inference for High Dimensional Censored Quantile Regression
Zhe Fei, Qi Zheng, Hyokyoung G. Hong, Yi Li
http://arxiv.org/abs/2107.10959v1
• [stat.ME]Kernel regression for cause-specific hazard models with time-dependent coefficients
Xiaomeng Qi, Zhangsheng Yu
http://arxiv.org/abs/2107.11025v1
• [stat.ME]Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and A Novel Solution via Sensitivity Analysis
Guanglei Hong, Fan Yang, Xu Qin
http://arxiv.org/abs/2107.11014v1
• [stat.ME]Robust Estimation of High-Dimensional Vector Autoregressive Models
Di Wang, Ruey S. Tsay
http://arxiv.org/abs/2107.11002v1
• [stat.ML]A comparison of combined data assimilation and machine learning methods for offline and online model error correction
Alban Farchi, Marc Bocquet, Patrick Laloyaux, Massimo Bonavita, Quentin Malartic
http://arxiv.org/abs/2107.11114v1
• [stat.ML]A local approach to parameter space reduction for regression and classification tasks
Francesco Romor, Marco Tezzele, Gianluigi Rozza
http://arxiv.org/abs/2107.10867v1
• [stat.ML]Joint Shapley values: a measure of joint feature importance
Chris Harris, Richard Pymar, Colin Rowat
http://arxiv.org/abs/2107.11357v1
• [stat.ML]Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation
Xingmei Lou, Yu Hu, Xiaodong Li
http://arxiv.org/abs/2107.10955v1
• [stat.ML]State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics
Quentin Malartic, Alban Farchi, Marc Bocquet
http://arxiv.org/abs/2107.11253v1
• [stat.ML]Structured second-order methods via natural gradient descent
Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
http://arxiv.org/abs/2107.10884v1
• [stat.ML]The decomposition of the higher-order homology embedding constructed from the -Laplacian
Yu-Chia Chen, Marina Meilă
http://arxiv.org/abs/2107.10970v1
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