astro-ph.EP - 地球与行星天体
astro-ph.GA - 星系天体物理学 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.DL - 数字图书馆 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.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 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math-ph - 数学物理 math.DS - 动力系统 math.OC - 优化与控制 math.PR - 概率 math.RA - 环与代数 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 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.EP]Analyzing the Stability of Non-coplanar Circumbinary Planets using Machine Learning
• [astro-ph.EP]Comparing Classification Models on Kepler Data
• [astro-ph.GA]Automatic identification of outliers in Hubble Space Telescope galaxy images
• [cs.AI]A design of human-like robust AI machines in object identification
• [cs.AI]Argument Schemes and Dialogue for Explainable Planning
• [cs.AI]Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma
• [cs.AI]Drift anticipation with forgetting to improve evolving fuzzy system
• [cs.AI]Incorporating Vision Bias into Click Models for Image-oriented Search Engine
• [cs.AI]Merging with unknown reliability
• [cs.AI]MöbiusE: Knowledge Graph Embedding on Möbius Ring
• [cs.AI]Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1
• [cs.AI]Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
• [cs.AI]Single Shot Multitask Pedestrian Detection and Behavior Prediction
• [cs.AI]TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
• [cs.AR]BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
• [cs.AR]High-Level FPGA Accelerator Design for Structured-Mesh-Based Explicit Numerical Solvers
• [cs.CG]Snappability and singularity-distance of pin-jointed body-bar frameworks
• [cs.CL]Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity
• [cs.CL]Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
• [cs.CL]Can RNNs learn Recursive Nested Subject-Verb Agreements?
• [cs.CL]Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
• [cs.CL]Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
• [cs.CL]Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
• [cs.CL]Homonym Identification using BERT — Using a Clustering Approach
• [cs.CL]Multitask Learning for Emotion and Personality Detection
• [cs.CL]Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
• [cs.CL]Taxonomy Completion via Triplet Matching Network
• [cs.CL]Towards a Smart Data Processing and Storage Model
• [cs.CR]Data Poisoning Attacks to Deep Learning Based Recommender Systems
• [cs.CR]DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
• [cs.CR]Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
• [cs.CR]Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
• [cs.CR]RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks
• [cs.CR]Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
• [cs.CV]A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
• [cs.CV]Active learning for object detection in high-resolution satellite images
• [cs.CV]Associated Spatio-Temporal Capsule Network for Gait Recognition
• [cs.CV]Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
• [cs.CV]Bridging In- and Out-of-distribution Samples for Their Better Discriminability
• [cs.CV]Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
• [cs.CV]Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
• [cs.CV]Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
• [cs.CV]GAN-Control: Explicitly Controllable GANs
• [cs.CV]HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
• [cs.CV]ISETAuto: Detecting vehicles with depth and radiance information
• [cs.CV]L2PF — Learning to Prune Faster
• [cs.CV]Learning Anthropometry from Rendered Humans
• [cs.CV]Learning Temporal Dynamics from Cycles in Narrated Video
• [cs.CV]LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
• [cs.CV]Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
• [cs.CV]MSED: a multi-modal sleep event detection model for clinical sleep analysis
• [cs.CV]More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination
• [cs.CV]Multi-scale Information Assembly for Image Matting
• [cs.CV]Multimodal Gait Recognition for Neurodegenerative Diseases
• [cs.CV]PVA: Pixel-aligned Volumetric Avatars
• [cs.CV]PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
• [cs.CV]Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
• [cs.CV]Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
• [cs.CV]Progressive Self-Guided Loss for Salient Object Detection
• [cs.CV]Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
• [cs.CV]Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
• [cs.CV]Self-Attention Based Context-Aware 3D Object Detection
• [cs.CV]Self-Supervised Pretraining of 3D Features on any Point-Cloud
• [cs.CV]The joint role of geometry and illumination on material recognition
• [cs.CV]TrackFormer: Multi-Object Tracking with Transformers
• [cs.CV]VOGUE: Try-On by StyleGAN Interpolation Optimization
• [cs.CV]Where2Act: From Pixels to Actions for Articulated 3D Objects
• [cs.CV]Who’s a Good Boy? Reinforcing Canine Behavior using Machine Learning in Real-Time
• [cs.CY]Does double-blind peer-review reduce bias? Evidence from a top computer science conference
• [cs.DC]Measuring the Impact of Interference Channels on Multicore Avionics
• [cs.DC]Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
• [cs.DL]Attitudes toward Open Access, Open Peer Review, and Altmetrics among Contributors to Spanish Scholarly Journals
• [cs.DL]Detecting a network of hijacked journals by its archive
• [cs.FL]On Satisficing in Quantitative Games
• [cs.HC]Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study
• [cs.HC]User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics
• [cs.IR]Metric Learning for Session-based Recommendations
• [cs.IR]Scalable representation learning and retrieval for display advertising
• [cs.IR]Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales
• [cs.IT]A generalization of the Von Neumann extractor
• [cs.IT]Adaptive Group Testing on Networks with Community Structure
• [cs.IT]Distributed Arithmetic Coding for Sources with Hidden Markov Correlation
• [cs.IT]Distributed Quantum Faithful Simulation and Function Computation Using Algebraic Structured Measurements
• [cs.IT]Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions
• [cs.LG]A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
• [cs.LG]A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning
• [cs.LG]An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization
• [cs.LG]Architectural Patterns for the Design of Federated Learning Systems
• [cs.LG]CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
• [cs.LG]Coding for Distributed Multi-Agent Reinforcement Learning
• [cs.LG]Corner case data description and detection
• [cs.LG]DICE: Deep Significance Clustering for Outcome-Aware Stratification
• [cs.LG]Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
• [cs.LG]Detecting Log Anomalies with Multi-Head Attention (LAMA)
• [cs.LG]Detecting Suspicious Events in Fast Information Flows
• [cs.LG]Distribution-Free, Risk-Controlling Prediction Sets
• [cs.LG]Few-Shot Learning with Class Imbalance
• [cs.LG]Geometric Entropic Exploration
• [cs.LG]GraphHop: An Enhanced Label Propagation Method for Node Classification
• [cs.LG]Handling many conversions per click in modeling delayed feedback
• [cs.LG]Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models
• [cs.LG]Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
• [cs.LG]Learn Dynamic-Aware State Embedding for Transfer Learning
• [cs.LG]MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging
• [cs.LG]Max-Affine Spline Insights Into Deep Network Pruning
• [cs.LG]Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time
• [cs.LG]OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
• [cs.LG]Off-Policy Evaluation of Slate Policies under Bayes Risk
• [cs.LG]On the Convergence of Tsetlin Machines for the XOR Operator
• [cs.LG]On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques
• [cs.LG]Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows
• [cs.LG]Robust Text CAPTCHAs Using Adversarial Examples
• [cs.LG]Simplified DOM Trees for Transferable Attribute Extraction from the Web
• [cs.LG]Teach me to play, gamer! Imitative learning in computer games via linguistic description of complex phenomena and decision tree
• [cs.LG]Towards Optimally Efficient Tree Search with Deep Temporal Difference Learning
• [cs.LG]Towards Understanding Learning in Neural Networks with Linear Teachers
• [cs.LG]Using BART for Multiobjective Optimization of Noisy Multiple Objectives
• [cs.NI]Adv
5fce
ersarial Machine Learning for 5G Communications Security
• [cs.RO]A Novel Shaft-to-Tissue Force Model for Safer Motion Planning of Steerable Needles
• [cs.RO]A review of robotics taxonomies in terms of form and structure
• [cs.RO]From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation
• [cs.RO]Navigation Framework for a Hybrid Steel Bridge Inspection Robot
• [cs.RO]Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN
• [cs.RO]On State Estimation for Legged Locomotion over Soft Terrain
• [cs.RO]Planning for Multi-stage Forceful Manipulation
• [cs.RO]Playing with Food: Learning Food Item Representations through Interactive Exploration
• [cs.RO]Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation
• [cs.RO]qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems
• [cs.SD]Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
• [cs.SE]Adaptive Immunity for Software: Towards Autonomous Self-healing Systems
• [cs.SI]Disentangling homophily, community structure and triadic closure in networks
• [cs.SI]Does Crowdfunding Really Foster Innovation? Evidence from the Board Game Industry
• [cs.SI]Lockdowns need geographic coordination because of propagation of economic effects through supply chains
• [cs.SI]SDGNN: Learning Node Representation for Signed Directed Networks
• [cs.SI]User Response Prediction in Online Advertising
• [eess.IV]Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
• [eess.IV]VHS to HDTV Video Translation using Multi-task Adversarial Learning
• [eess.SY]Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines
• [eess.SY]Monitoring of Railpad Long-term Condition in Turnouts Using Extreme Value Distributions
• [math-ph]A spin-glass model for the loss surfaces of generative adversarial networks
• [math.DS]CINDy: Conditional gradient-based Identification of Non-linear Dynamics — Noise-robust recovery
• [math.OC]Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
• [math.OC]Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm
• [math.PR]Bernstein-Type Bounds for Beta Distribution
• [math.RA]A Note on Rough Set Algebra and Core Regular Double Stone Algebras
• [math.ST]Density Deconvolution with Non-Standard Error Distributions: Rates of Convergence and Adaptive Estimation
• [math.ST]SDP Achieves Exact Minimax Optimality in Phase Synchronization
• [math.ST]The Gaussian entropy map in valued fields
• [math.ST]Uniformity criterion for designs with both qualitative and quantitative factors
• [physics.geo-ph]Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods
• [physics.soc-ph]Gender Imbalance and Spatiotemporal Patterns of Contributions to Citizen Science Projects: the case of Zooniverse
• [physics.soc-ph]Machine learning dismantling and early-warning signals of disintegration in complex systems
• [q-fin.ST]Theory and Applications of Financial Chaos Index
• [quant-ph]Information-theoretic bounds on quantum advantage in machine learning
• [stat.AP]A Registration-free approach for Statistical Process Control of 3D scanned objects via FEM
• [stat.AP]Independent Action Models and Prediction of Combination Treatment Effects for Response Rate, Duration of Response and Tumor Size Change in Oncology Drug Development
• [stat.AP]Monitoring the COVID-19 epidemic with nationwide telecommunication data
• [stat.AP]Statistical challenges in the analysis of sequence and structure data for the COVID-19 spike protein
• [stat.CO]A unified performance analysis of likelihood-informed subspace methods
• [stat.CO]Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package
• [stat.ME]Addressing patient heterogeneity in disease predictive model development
• [stat.ME]Boosting Model-free predictions for econometric datasets
• [stat.ME]Handling Missingness Value on Jointly Measured Time-Course and Time-to-event Data
• [stat.ME]Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset
• [stat.ME]Modeling massive multivariate spatial data with the basis graphical lasso
• [stat.ME]Regression-based causal inference with factorial experiments: estimands, model specifications, and design-based properties
• [stat.ME]Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data
• [stat.ML]Bipartite mixed membership stochastic blockmodel
• [stat.ML]Copula Quadrant Similarity for Anomaly Scores
• [stat.ML]Distances with mixed type variables some modified Gower’s coefficients
• [stat.ML]Identification of Latent Variables From Graphical Model Residuals
• [stat.ML]Infinitely Wide Tensor Networks as Gaussian Process
• [stat.ML]Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis
• [stat.ML]RobustSleepNet: Transfer learning for automated sleep staging at scale
• [stat.ML]The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
·····································
• [astro-ph.EP]Analyzing the Stability of Non-coplanar Circumbinary Planets using Machine Learning
Zhihui Kong, Jonathan H. Jiang, Zong-Hong Zhu, Kristen A. Fahy, Remo Burn
http://arxiv.org/abs/2101.02316v1
• [astro-ph.EP]Comparing Classification Models on Kepler Data
Rohan Saha
http://arxiv.org/abs/2101.01904v2
• [astro-ph.GA]Automatic identification of outliers in Hubble Space Telescope galaxy images
Lior Shamir
http://arxiv.org/abs/2101.02623v1
• [cs.AI]A design of human-like robust AI machines in object identification
Bao-Gang Hu, Wei-Ming Dong
http://arxiv.org/abs/2101.02327v1
• [cs.AI]Argument Schemes and Dialogue for Explainable Planning
Quratul-ain Mahesar, Simon Parsons
http://arxiv.org/abs/2101.02648v1
• [cs.AI]Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma
Volkan Ustun, Paul S. Rosenbloom, Seyed Sajjadi, Jeremy Nuttal
http://arxiv.org/abs/2101.02231v1
• [cs.AI]Drift anticipation with forgetting to improve evolving fuzzy system
Clément Leroy, Eric Anquetil, Nathalie Girard
http://arxiv.org/abs/2101.02442v1
• [cs.AI]Incorporating Vision Bias into Click Models for Image-oriented Search Engine
Ningxin Xu, Cheng Yang, Yixin Zhu, Xiaowei Hu, Changhu Wang
http://arxiv.org/abs/2101.02459v1
• [cs.AI]Merging with unknown reliability
Paolo Liberatore
http://arxiv.org/abs/2101.02516v1
• [cs.AI]MöbiusE: Knowledge Graph Embedding on Möbius Ring
Yao Chen, Jiangang Liu, Zhe Zhang, Shiping Wen, Wenjun Xiong
http://arxiv.org/abs/2101.02352v1
• [cs.AI]Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1
Jahnvi Patel, Devika Jay, Balaraman Ravindran, K. Shanti Swarup
http://arxiv.org/abs/2101.02456v1
• [cs.AI]Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles Hughes, Yanjie Fu
http://arxiv.org/abs/2101.02634v1
• [cs.AI]Single Shot Multitask Pedestrian Detection and Behavior Prediction
Prateek Agrawal, Pratik Prabhanjan Brahma
http://arxiv.org/abs/2101.02232v1
• [cs.AI]TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen
http://arxiv.org/abs/2101.02046v2
• [cs.AR]BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
Seyed Abolfazl Ghasemzadeh, Erfan Bank Tavakoli, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram
http://arxiv.org/abs/2101.02667v1
• [cs.AR]High-Level FPGA Accelerator Design for Structured-Mesh-Based Explicit Numerical Solvers
Kamalavasan Kamalakkannan, Gihan R. Mudalige, Istvan Z. Reguly, Suhaib A. Fahmy
http://arxiv.org/abs/2101.01177v2
• [cs.CG]Snappability and singularity-distance of pin-jointed body-bar frameworks
Georg Nawratil
http://arxiv.org/abs/2101.02490v1
• [cs.CL]Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity
Ankush Chopra, Shruti Agrawal, Sohom Ghosh
http://arxiv.org/abs/2101.02351v1
• [cs.CL]Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz, German Rigau
http://arxiv.org/abs/2101.02661v1
• [cs.CL]Can RNNs learn Recursive Nested Subject-Verb Agreements?
Yair Lakretz, Théo Desbordes, Jean-Rémi King, Benoît Crabbé, Maxime Oquab, Stanislas Dehaene
http://arxiv.org/abs/2101.02258v1
• [cs.CL]Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu
http://arxiv.org/abs/2101.01926v2
• [cs.CL]Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant
http://arxiv.org/abs/2101.02235v1
• [cs.CL]Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li
http://arxiv.org/abs/2101.02359v1
• [cs.CL]Homonym Identification using BERT — Using a Clustering Approach
Rohan Saha
http://arxiv.org/abs/2101.02398v1
• [cs.CL]Multitask Learning for Emotion and Personality Detection
Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria
http://arxiv.org/abs/2101.02346v1
• [cs.CL]Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui
http://arxiv.org/abs/2101.02394v1
• [cs.CL]Taxonomy Completion via Triplet Matching Network
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li
http://arxiv.org/abs/2101.01896v2
• [cs.CL]Towards a Smart Data Processing and Storage Model
Ronie Salgado, Marcus Denker, Stéphane Ducasse, Anne Etien, Vincent Aranega
http://arxiv.org/abs/2101.02522v1
• [cs.CR]Data Poisoning Attacks to Deep Learning Based Recommender Systems
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu
http://arxiv.org/abs/2101.02644v1
• [cs.CR]DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
Jinyin Chen, Longyuan Zhang, Haibin Zheng, Xueke Wang, Zhaoyan Ming
http://arxiv.org/abs/2101.02562v1
• [cs.CR]Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
Nami Ashizawa, Naoto Yanai, Jason Paul Cruz, Shingo Okamura
http://arxiv.org/abs/2101.02377v1
• [cs.CR]Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Sohail Ahmed Khan, Wasiq Khan, Abir Hussain
http://arxiv.org/abs/2101.02552v1
• [cs.CR]RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks
Hazem M. Soliman, Geoff Salmon, Dušan Sovilj, Mohan Rao
http://arxiv.org/abs/2101.02573v1
• [cs.CR]Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi
http://arxiv.org/abs/2101.02559v1
• [cs.CV]A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal M. Patel, Nathaniel J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu
http://arxiv.org/abs/2101.02637v1
• [cs.CV]Active learning for object detection in high-resolution satellite images
Alex Goupilleau, Tugdual Ceillier, Marie-Caroline Corbineau
http://arxiv.org/abs/2101.02480v1
• [cs.CV]Associated Spatio-Temporal Capsule Network for Gait Recognition
Aite Zhao, Junyu Dong, Jianbo Li, Lin Qi, Huiyu Zhou
http://arxiv.org/abs/2101.02458v1
• [cs.CV]Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyu
923
n Qu, Yuan Xie, Lizhuang Ma
http://arxiv.org/abs/2101.02381v1
• [cs.CV]Bridging In- and Out-of-distribution Samples for Their Better Discriminability
Engkarat Techapanurak, Anh-Chuong Dang, Takayuki Okatani
http://arxiv.org/abs/2101.02500v1
• [cs.CV]Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
Samuele Capobianco, Leonardo M. Millefiori, Nicola Forti, Paolo Braca, Peter Willett
http://arxiv.org/abs/2101.02486v1
• [cs.CV]Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth
http://arxiv.org/abs/2101.02323v1
• [cs.CV]Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Le Hui, Mingmei Cheng, Jin Xie, Jian Yang
http://arxiv.org/abs/2101.02374v1
• [cs.CV]GAN-Control: Explicitly Controllable GANs
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Gerard Medioni
http://arxiv.org/abs/2101.02477v1
• [cs.CV]HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
Jiawei Ren, Xiao Ma, Chen Xu, Haiyu Zhao, Shuai Yi
http://arxiv.org/abs/2101.02568v1
• [cs.CV]ISETAuto: Detecting vehicles with depth and radiance information
Zhenyi Liu, Joyce Farrell, Brian Wandell
http://arxiv.org/abs/2101.01843v2
• [cs.CV]L2PF — Learning to Prune Faster
Manoj-Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen-Shankar Nagaraja, Walter Stechele
http://arxiv.org/abs/2101.02663v1
• [cs.CV]Learning Anthropometry from Rendered Humans
Song Yan, Joni-Kristian Kämäräinen
http://arxiv.org/abs/2101.02515v1
• [cs.CV]Learning Temporal Dynamics from Cycles in Narrated Video
Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun
http://arxiv.org/abs/2101.02337v1
• [cs.CV]LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen
http://arxiv.org/abs/2101.02268v1
• [cs.CV]Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang Xu, Chi Zhang, Peng Liu, Zhihong Zhang, Peng Yao, Ronald X. Xu
http://arxiv.org/abs/2101.02353v1
• [cs.CV]MSED: a multi-modal sleep event detection model for clinical sleep analysis
Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sorensen
http://arxiv.org/abs/2101.02530v1
• [cs.CV]More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination
Jian Dai, Shuge Lei, Licong Dong, Xiaona Lin, Huabin Zhang, Desheng Sun, Kehong Yuan
http://arxiv.org/abs/2101.02639v1
• [cs.CV]Multi-scale Information Assembly for Image Matting
Yu Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, Xiaopeng Wei
http://arxiv.org/abs/2101.02391v1
• [cs.CV]Multimodal Gait Recognition for Neurodegenerative Diseases
Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning Li, Xin Wang, Huiyu Zhou
http://arxiv.org/abs/2101.02469v1
• [cs.CV]PVA: Pixel-aligned Volumetric Avatars
Amit Raj, Michael Zollhoefer, Tomas Simon, Jason Saragih, Shunsuke Saito, James Hays, Stephen Lombardi
http://arxiv.org/abs/2101.02697v1
• [cs.CV]PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cong Pham, Cahterine Achrd
http://arxiv.org/abs/2101.02471v1
• [cs.CV]Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara
http://arxiv.org/abs/2101.02275v1
• [cs.CV]Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
Engkarat Techapanurak, Takayuki Okatani
http://arxiv.org/abs/2101.02447v1
• [cs.CV]Progressive Self-Guided Loss for Salient Object Detection
Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu
http://arxiv.org/abs/2101.02412v1
• [cs.CV]Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
http://arxiv.org/abs/2101.02385v1
• [cs.CV]Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang
http://arxiv.org/abs/2101.01479v2
• [cs.CV]Self-Attention Based Context-Aware 3D Object Detection
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
http://arxiv.org/abs/2101.02672v1
• [cs.CV]Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra
http://arxiv.org/abs/2101.02691v1
• [cs.CV]The joint role of geometry and illumination on material recognition
Manuel Lagunas, Ana Serrano, Diego Gutierrez, Belen Masia
http://arxiv.org/abs/2101.02496v1
• [cs.CV]TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, Christoph Feichtenhofer
http://arxiv.org/abs/2101.02702v1
• [cs.CV]VOGUE: Try-On by StyleGAN Interpolation Optimization
Kathleen M Lewis, Srivatsan Varadharajan, Ira Kemelmacher-Shlizerman
http://arxiv.org/abs/2101.02285v1
• [cs.CV]Where2Act: From Pixels to Actions for Articulated 3D Objects
Kaichun Mo, Leonidas Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
http://arxiv.org/abs/2101.02692v1
• [cs.CV]Who’s a Good Boy? Reinforcing Canine Behavior using Machine Learning in Real-Time
Jason Stock, Tom Cavey
http://arxiv.org/abs/2101.02380v1
• [cs.CY]Does double-blind peer-review reduce bias? Evidence from a top computer science conference
Mengyi Sun, Jainabou Barry Danfa, Misha Teplitskiy
http://arxiv.org/abs/2101.02701v1
• [cs.DC]Measuring the Impact of Interference Channels on Multicore Avionics
Steven H. VanderLeest, Samuel R. Thompson
http://arxiv.org/abs/2101.02204v1
• [cs.DC]Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
Xia Cai, Li Xu, C. Devon Lin, Yili Hong, Xinwei Deng
http://arxiv.org/abs/2101.02206v1
• [cs.DL]Attitudes toward Open Access, Open Peer Review, and Altmetrics among Contributors to Spanish Scholarly Journals
Francisco Segado-Boj, Juan Martin-Quevedo, Juan Jose Prieto-Gutierrez
http://arxiv.org/abs/2101.02488v1
• [cs.DL]Detecting a network of hijacked journals by its archive
Anna Abalkina
http://arxiv.org/abs/2101.01224v2
• [cs.FL]On Satisficing in Quantitative Games
Suguman Bansal, Krishnendu Chatterjee, Moshe Y. Vardi
http://arxiv.org/abs/2101.02594v1
• [cs.HC]Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study
Daniel Ben David, Yehezkel S. Resheff, Talia Tron
http://arxiv.org/abs/2101.02555v1
• [cs.HC]User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics
Anamaria Crisan, Michael Correll
http://arxiv.org/abs/2101.02244v1
• [cs.IR]Metric Learning for Session-based Recommendations
Bartłomiej Twardowski, Paweł Zawistowski, Szymon Zaborowski
http://arxiv.org/abs/2101.02655v1
• [cs.IR]Scalable representation learning and retrieval for display advertising
Olivier Koch, Amine Benhalloum, Guillaume Genthial, Denis Kuzin, Dmitry Parfenchik
http://arxiv.org/abs/
g/abs/2101.00870v1
g/abs/2101.00870v1)
• [cs.IR]Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales
Marco Ferrante, Nicola Ferro, Norbert Fuhr
http://arxiv.org/abs/2101.02668v1
• [cs.IT]A generalization of the Von Neumann extractor
Claude Gravel
http://arxiv.org/abs/2101.02345v1
• [cs.IT]Adaptive Group Testing on Networks with Community Structure
Surin Ahn, Wei-Ning Chen, Ayfer Ozgur
http://arxiv.org/abs/2101.02405v1
• [cs.IT]Distributed Arithmetic Coding for Sources with Hidden Markov Correlation
Yong Fang, Jechang Jeong
http://arxiv.org/abs/2101.02336v1
• [cs.IT]Distributed Quantum Faithful Simulation and Function Computation Using Algebraic Structured Measurements
Touheed Anwar Atif, S. Sandeep Pradhan
http://arxiv.org/abs/2101.02360v1
• [cs.IT]Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions
Zhenyuan Feng, Bruno Clerckx, Yang Zhao
http://arxiv.org/abs/2101.02674v1
• [cs.LG]A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann, Vera Goebel, Gunn Marit Traaen, Britt Øverland, Lars Aakerøy, Tove-Elizabeth Hunt, Jan Pål Loennechen, Sigurd Loe Steinshamn, Christina Holt Bendz, Ole-Gunnar Anfinsen, Lars Gullestad, Harriet Akre
http://arxiv.org/abs/2101.02595v1
• [cs.LG]A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning
Kaustubh Yadav
http://arxiv.org/abs/2101.02397v1
• [cs.LG]An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization
Opeoluwa Owoyele, Pinaki Pal, Alvaro Vidal Torreira, Daniel Probst, Matthew Shaxted, Michael Wilde, Peter Kelly Senecal
http://arxiv.org/abs/2101.02653v1
• [cs.LG]Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik, Xiwei Xu, Chen Wang
http://arxiv.org/abs/2101.02373v1
• [cs.LG]CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee
http://arxiv.org/abs/2101.02649v1
• [cs.LG]Coding for Distributed Multi-Agent Reinforcement Learning
Baoqian Wang, Junfei Xie, Nikolay Atanasov
http://arxiv.org/abs/2101.02308v1
• [cs.LG]Corner case data description and detection
Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo
http://arxiv.org/abs/2101.02494v1
• [cs.LG]DICE: Deep Significance Clustering for Outcome-Aware Stratification
Yufang Huang, Kelly M. Axsom, John Lee, Lakshminarayanan Subramanian, Yiye Zhang
http://arxiv.org/abs/2101.02344v1
• [cs.LG]Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
Maryam Motamedi, Na Li, Douglas G. Down, Nancy M. Heddle
http://arxiv.org/abs/2101.02305v1
• [cs.LG]Detecting Log Anomalies with Multi-Head Attention (LAMA)
Yicheng Guo, Yujin Wen, Congwei Jiang, Yixin Lian, Yi Wan
http://arxiv.org/abs/2101.02392v1
• [cs.LG]Detecting Suspicious Events in Fast Information Flows
Kristiaan Pelckmans, Moustafa Aboushady, Andreas Brosemyr
http://arxiv.org/abs/2101.02424v1
• [cs.LG]Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan
http://arxiv.org/abs/2101.02703v1
• [cs.LG]Few-Shot Learning with Class Imbalance
Mateusz Ochal, Massimiliano Patacchiola, Amos Storkey, Jose Vazquez, Sen Wang
http://arxiv.org/abs/2101.02523v1
• [cs.LG]Geometric Entropic Exploration
Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Alaa Saade, Shantanu Thakoor, Bilal Piot, Bernardo Avila Pires, Michal Valko, Thomas Mesnard, Tor Lattimore, Rémi Munos
http://arxiv.org/abs/2101.02055v2
• [cs.LG]GraphHop: An Enhanced Label Propagation Method for Node Classification
Tian Xie, Bin Wang, C. -C. Jay Kuo
http://arxiv.org/abs/2101.02326v1
• [cs.LG]Handling many conversions per click in modeling delayed feedback
Ashwinkumar Badanidiyuru, Andrew Evdokimov, Vinodh Krishnan, Pan Li, Wynn Vonnegut, Jayden Wang
http://arxiv.org/abs/2101.02284v1
• [cs.LG]Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models
Jeroen van Hoof, Joaquin Vanschoren
http://arxiv.org/abs/2101.02289v1
• [cs.LG]Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman, Troy Luhman
http://arxiv.org/abs/2101.02388v1
• [cs.LG]Learn Dynamic-Aware State Embedding for Transfer Learning
Kaige Yang
http://arxiv.org/abs/2101.02230v1
• [cs.LG]MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging
Xue Jiang
http://arxiv.org/abs/2101.02538v1
• [cs.LG]Max-Affine Spline Insights Into Deep Network Pruning
Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard Baraniuk
http://arxiv.org/abs/2101.02338v1
• [cs.LG]Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time
Burak Bartan, Mert Pilanci
http://arxiv.org/abs/2101.02429v1
• [cs.LG]OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu
http://arxiv.org/abs/2101.02358v1
• [cs.LG]Off-Policy Evaluation of Slate Policies under Bayes Risk
Nikos Vlassis, Fernando Amat Gil, Ashok Chandrashekar
http://arxiv.org/abs/2101.02553v1
• [cs.LG]On the Convergence of Tsetlin Machines for the XOR Operator
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, K. Darshana Abeyrathna
http://arxiv.org/abs/2101.02547v1
• [cs.LG]On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques
Ignacio Rodriguez
http://arxiv.org/abs/2101.02409v1
• [cs.LG]Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows
Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee
http://arxiv.org/abs/2101.02188v2
• [cs.LG]Robust Text CAPTCHAs Using Adversarial Examples
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
http://arxiv.org/abs/2101.02483v1
• [cs.LG]Simplified DOM Trees for Transferable Attribute Extraction from the Web
Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata
http://arxiv.org/abs/2101.02415v1
• [cs.LG]Teach me to play, gamer! Imitative learning in computer games via linguistic description of complex phenomena and decision tree
Clemente Rubio-Manzano, Tomas Lermanda, CLaudia Martinez, Alejandra Segura, Christian Vidal
http://arxiv.org/abs/2101.02264v1
• [cs.LG]Towards Optimally Efficient Tree Search with Deep Temporal Difference Learning
Ke He, Lisheng Fan
http://arxiv.org/abs/2101.02420v1
• [cs.LG]Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi, Alon Brutzkus, Amir Globerson
http://arxiv.org/abs/2101.02533v1
• [cs.LG]Using BART for Multiobjective Optimization of Noisy Multiple Objectives
Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola
http://arxiv.org/abs/2101.02558v1
• [cs.NI]Adv
5fce
ersarial Machine Learning for 5G Communications Security
Yalin E. Sagduyu, Tugba Erpek, Yi Shi
http://arxiv.org/abs/2101.02656v1
• [cs.RO]A Novel Shaft-to-Tissue Force Model for Safer Motion Planning of Steerable Needles
Michael Bentley, Caleb Rucker, Chakravarthy Reddy, Oren Salzman, Alan Kuntz
http://arxiv.org/abs/2101.02246v1
• [cs.RO]A review of robotics taxonomies in terms of form and structure
Signe A. Redfield
http://arxiv.org/abs/2101.02659v1
• [cs.RO]From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation
Juana Valeria Hurtado, Laura Londoño, Abhinav Valada
http://arxiv.org/abs/2101.02647v1
• [cs.RO]Navigation Framework for a Hybrid Steel Bridge Inspection Robot
Hoang-Dung Bui, Hung M. La
http://arxiv.org/abs/2101.02282v1
• [cs.RO]Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN
J. Lee, S. Lee, S. Back, S. Shin, K. Lee
http://arxiv.org/abs/2101.02509v1
• [cs.RO]On State Estimation for Legged Locomotion over Soft Terrain
Shamel Fahmi, Geoff Fink, Claudio Semini
http://arxiv.org/abs/2101.02279v1
• [cs.RO]Planning for Multi-stage Forceful Manipulation
Rachel Holladay, Tomás Lozano-Pérez, Alberto Rodriguez
http://arxiv.org/abs/2101.02679v1
• [cs.RO]Playing with Food: Learning Food Item Representations through Interactive Exploration
Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer
http://arxiv.org/abs/2101.02252v1
• [cs.RO]Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation
Thomas Bi, Carmelo Sferrazza, Raffaello D’Andrea
http://arxiv.org/abs/2101.02680v1
• [cs.RO]qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems
Nahas Pareekutty, Francis James, Balaraman Ravindran, Suril V. Shah
http://arxiv.org/abs/2101.02635v1
• [cs.SD]Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang
http://arxiv.org/abs/2101.02402v1
• [cs.SE]Adaptive Immunity for Software: Towards Autonomous Self-healing Systems
Moeen Ali Naqvi, Merve Astekin, Sehrish Malik, Leon Moonen
http://arxiv.org/abs/2101.02534v1
• [cs.SI]Disentangling homophily, community structure and triadic closure in networks
Tiago P. Peixoto
http://arxiv.org/abs/2101.02510v1
• [cs.SI]Does Crowdfunding Really Foster Innovation? Evidence from the Board Game Industry
Johannes Wachs, Balazs Vedres
http://arxiv.org/abs/2101.02683v1
• [cs.SI]Lockdowns need geographic coordination because of propagation of economic effects through supply chains
Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo
http://arxiv.org/abs/2101.01679v2
• [cs.SI]SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
http://arxiv.org/abs/2101.02390v1
• [cs.SI]User Response Prediction in Online Advertising
Zhabiz Gharibshah, Xingquan Zhu
http://arxiv.org/abs/2101.02342v1
• [eess.IV]Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
http://arxiv.org/abs/2101.02375v1
• [eess.IV]VHS to HDTV Video Translation using Multi-task Adversarial Learning
Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu, Fei Zhou, Guoping Qiu
http://arxiv.org/abs/2101.02384v1
• [eess.SY]Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines
Gabriel Rodriguez Garcia, Gabriel Michau, Olga Fink
http://arxiv.org/abs/2101.02463v1
• [eess.SY]Monitoring of Railpad Long-term Condition in Turnouts Using Extreme Value Distributions
Pegah Barkhordari, Roberto Galeazzi, Mogens Blanke
http://arxiv.org/abs/2101.02567v1
• [math-ph]A spin-glass model for the loss surfaces of generative adversarial networks
Nicholas P Baskerville, Jonathan P Keating, Francesco Mezzadri, Joseph Najnudel
http://arxiv.org/abs/2101.02524v1
• [math.DS]CINDy: Conditional gradient-based Identification of Non-linear Dynamics — Noise-robust recovery
Alejandro Carderera, Sebastian Pokutta, Christof Schütte, Martin Weiser
http://arxiv.org/abs/2101.02630v1
• [math.OC]Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
Karan Chadha, Gary Cheng, John C. Duchi
http://arxiv.org/abs/2101.02696v1
• [math.OC]Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm
Rishabh Dixit, Waheed U. Bajwa
http://arxiv.org/abs/2101.02625v1
• [math.PR]Bernstein-Type Bounds for Beta Distribution
Maciej Skorski
http://arxiv.org/abs/2101.02094v2
• [math.RA]A Note on Rough Set Algebra and Core Regular Double Stone Algebras
Daniel J. Clouse
http://arxiv.org/abs/2101.02313v1
• [math.ST]Density Deconvolution with Non-Standard Error Distributions: Rates of Convergence and Adaptive Estimation
Alexander Goldenshluger, Taeho Kim
http://arxiv.org/abs/2101.02491v1
• [math.ST]SDP Achieves Exact Minimax Optimality in Phase Synchronization
Chao Gao, Anderson Y. Zhang
http://arxiv.org/abs/2101.02347v1
• [math.ST]The Gaussian entropy map in valued fields
Yassine El Maazouz
http://arxiv.org/abs/2101.00767v3
• [math.ST]Uniformity criterion for designs with both qualitative and quantitative factors
Mei Zhang, Feng Yang, Yongdao Zhou
http://arxiv.org/abs/2101.02416v1
• [physics.geo-ph]Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods
Ana B. Ruescas, Martin Hieronymi, Sampsa Koponen, Kari Kallio, Gustau Camps-Valls
http://arxiv.org/abs/2101.02505v1
• [physics.soc-ph]Gender Imbalance and Spatiotemporal Patterns of Contributions to Citizen Science Projects: the case of Zooniverse
Khairunnisa Ibrahim, Samuel Khodursky, Taha Yasseri
http://arxiv.org/abs/2101.02695v1
• [physics.soc-ph]Machine learning dismantling and early-warning signals of disintegration in complex systems
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
http://arxiv.org/abs/2101.02453v1
• [q-fin.ST]Theory and Applications of Financial Chaos Index
Masoud Ataei, Shengyuan Chen, Zijiang Yang, M. Reza Peyghami
http://arxiv.org/abs/2101.02288v1
• [quant-ph]Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang, Richard Kueng, John Preskill
http://arxiv.org/abs/2101.02464v1
• [stat.AP]A Registration-free approach for Statistical Process Control of 3D scanned objects via FEM
Xueqi Zhao, Enrique del Castillo
http://arxiv.org/abs/2101.02379v1
• [stat.AP]Independent Action Models and Prediction of Combination Treatment Effects for Response Rate, Duration of Response and Tumor Size Change in Oncology Drug Development
Linda Z. Sun, Cai, Wu, Xiaoyun, Li, Cong Chen, Emmett V. Schmidt
http://arxiv.org/abs/2101.02280v1
• [stat.AP]Monitoring the COVID-19 epidemic with nationwide telecommunication data
Joel Persson, Jurriaan F. Parie, Stefan Feuerriegel
http://arxiv.org/abs/2101.02521v1
• [stat.AP]Statistical challenges in the analysis of sequence and structure data for the COVID-19 spike protein
Shiyu He, Samuel W. K. Wong
http://arxiv.org/abs/2101.02304v1
• [stat.CO]A unified performance analysis of likelihood-informed subspace methods
Tiangang Cui, Xin T. Tong
http://arxiv.org/abs/2101.02417v1
• [stat.CO]Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package
Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner
http://arxiv.org/abs/2101.02506v1
• [stat.ME]Addressing patient heterogeneity in disease predictive model development
Xu Gao, Weining Shen, Jing Ning, Ziding Feng, Jianhua Hu
http://arxiv.org/abs/2101.02439v1
• [stat.ME]Boosting Model-free predictions for econometric datasets
Kejin Wu, Sayar Karmakar
http://arxiv.org/abs/2101.02273v1
• [stat.ME]Handling Missingness Value on Jointly Measured Time-Course and Time-to-event Data
Gajendra K. Vishwakarma, Atanu Bhattacharjee, Souvik Banerjee
http://arxiv.org/abs/2101.02580v1
• [stat.ME]Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset
Di Wang, Wen Ye, Kevin He
http://arxiv.org/abs/2101.02354v1
• [stat.ME]Modeling massive multivariate spatial data with the basis graphical lasso
Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker
http://arxiv.org/abs/2101.02404v1
• [stat.ME]Regression-based causal inference with factorial experiments: estimands, model specifications, and design-based properties
Anqi Zhao, Peng Ding
http://arxiv.org/abs/2101.02400v1
• [stat.ME]Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data
Zhongwei Zhang, Reinaldo B. Arellano-Valle, Marc G. Genton, Raphaël Huser
http://arxiv.org/abs/2101.02233v1
• [stat.ML]Bipartite mixed membership stochastic blockmodel
Huan Qing, Jingli Wang
http://arxiv.org/abs/2101.02307v1
• [stat.ML]Copula Quadrant Similarity for Anomaly Scores
Matthew Davidow, David Matteson
http://arxiv.org/abs/2101.02330v1
• [stat.ML]Distances with mixed type variables some modified Gower’s coefficients
Marcello D’Orazio
http://arxiv.org/abs/2101.02481v1
• [stat.ML]Identification of Latent Variables From Graphical Model Residuals
Boris Hayete, Fred Gruber, Anna Decker, Raymond Yan
http://arxiv.org/abs/2101.02332v1
• [stat.ML]Infinitely Wide Tensor Networks as Gaussian Process
Erdong Guo, David Draper
http://arxiv.org/abs/2101.02333v1
• [stat.ML]Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis
Louis Falissard, Karim Bounebache, Grégoire Rey
http://arxiv.org/abs/2101.02609v1
• [stat.ML]RobustSleepNet: Transfer learning for automated sleep staging at scale
Antoine Guillot, Valentin Thorey
http://arxiv.org/abs/2101.02452v1
• [stat.ML]The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
Arno Blaas, Stephen J. Roberts
http://arxiv.org/abs/2101.02689v1
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