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.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.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PL - 编程语言 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 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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 stat.OT - 其他统计学
• [cs.AI]A Scalable Two Stage Approach to Computing Optimal Decision Sets
• [cs.AI]A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows
• [cs.AI]Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
• [cs.AI]Social Network Analysis of Hadith Narrators from Sahih Bukhari
• [cs.AI]The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization
• [cs.AI]The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient
• [cs.AI]Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
• [cs.CL]A Computational Framework for Slang Generation
• [cs.CL]An Investigation Between Schema Linking and Text-to-SQL Performance
• [cs.CL]Bootstrapping Multilingual AMR with Contextual Word Alignments
• [cs.CL]Detecting Bias in Transfer Learning Approaches for Text Classification
• [cs.CL]DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation
• [cs.CL]Disambiguatory Signals are Stronger in Word-initial Positions
• [cs.CL]HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition
• [cs.CL]Learning to Match Mathematical Statements with Proofs
• [cs.CL]Learning to Select External Knowledge with Multi-Scale Negative Sampling
• [cs.CL]Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
• [cs.CL]Neural Transfer Learning with Transformers for Social Science Text Analysis
• [cs.CL]On Robustness of Neural Semantic Parsers
• [cs.CL]Pitfalls of Static Language Modelling
• [cs.CL]The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
• [cs.CL]The Multilingual TEDx Corpus for Speech Recognition and Translation
• [cs.CL]Top-down Discourse Parsing via Sequence Labelling
• [cs.CL]When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
• [cs.CR]Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network
• [cs.CR]On Entropy and Bit Patterns of Ring Oscillator Jitter
• [cs.CR]Provably Secure Federated Learning against Malicious Clients
• [cs.CR]TAD: Trigger Approximation based Black-box Trojan Detection for AI
• [cs.CV]A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images
• [cs.CV]A generalised feature for low level vision
• [cs.CV]Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
• [cs.CV]Automatic analysis of artistic paintings using information-based measures
• [cs.CV]Deep CNNs for large scale species classification
• [cs.CV]Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework
• [cs.CV]Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms
• [cs.CV]Isometric Propagation Network for Generalized Zero-shot Learning
• [cs.CV]L2C: Describing Visual Differences Needs Semantic Understanding of Individuals
• [cs.CV]Learning Graph Embeddings for Compositional Zero-shot Learning
• [cs.CV]Learning to identify image manipulations in scientific publications
• [cs.CV]Multi-Scale Cost Volumes Cascade Network for Stereo Matching
• [cs.CV]Occluded Video Instance Segmentation
• [cs.CV]Predictive coding feedback results in perceived illusory contours in a recurrent neural network
• [cs.CV]Regularization Strategy for Point Cloud via Rigidly Mixed Sample
• [cs.CV]Relaxed Transformer Decoders for Direct Action Proposal Generation
• [cs.CV]Robust pedestrian detection in thermal imagery using synthesized images
• [cs.CV]Vehicle trajectory prediction in top-view image sequences based on deep learning method
• [cs.CY]Skills-based on technological knowledge in the digital economy activity
• [cs.DC]Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines
• [cs.DC]TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment
• [cs.DS]CountSketches, Feature Hashing and the Median of Three
• [cs.GR]Length Learning for Planar Euclidean Curves
• [cs.GT]Safe Search for Stackelberg Equilibria in Extensive-Form Games
• [cs.HC]Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift Work
• [cs.HC]What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach
• [cs.IR]Causal Collaborative Filtering
• [cs.IR]Focusing Knowledge-based Graph Argument Mining via Topic Modeling
• [cs.IR]Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
• [cs.IR]Session-based Recommendation with Self-Attention Networks
• [cs.IT]A General Coded Caching Scheme for Scalar Linear Function Retrieval
• [cs.IT]Analysis and Design of Analog Fountain Codes for Short Packet Communications in IoT
• [cs.IT]Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
• [cs.IT]Efficient Decoding of Gabidulin Codes over Galois Rings
• [cs.IT]Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective
• [cs.IT]Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
• [cs.IT]Missing Mass of Rank-2 Markov Chains
• [cs.IT]On Coding for an Abstracted Nanopore Channel for DNA Storage
• [cs.IT]On conditional Sibson’s -Mutual Information
• [cs.IT]Optimizing QoS for Erasure-Coded Wireless Data Centers
• [cs.IT]Pliable Index Coding via Conflict-Free Colorings of Hypergraphs
• [cs.IT]Polar Codes for Channels with Insertions, Deletions, and Substitutions
• [cs.IT]Private Linear Transformation: The Joint Privacy Case
• [cs.IT]Secret Key Agreement and Secure Omniscience of Tree-PIN Source with Linear Wiretapper
• [cs.IT]Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
• [cs.LG]A Bayesian Federated Learning Framework with Multivariate Gaussian Product
• [cs.LG]A Bayesian Neural Network based on Dropout Regulation
• [cs.LG]A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
• [cs.LG]AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
• [cs.LG]Adversarially Robust Learning with Unknown Perturbation Sets
• [cs.LG]Apollo: Transferable Architecture Exploration
• [cs.LG]BeFair: Addressing Fairness in the Banking Sector
• [cs.LG]Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
• [cs.LG]Depth separation beyond radial functions
• [cs.LG]Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
• [cs.LG]Embodied Intelligence via Learning and Evolution
• [cs.LG]Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
• [cs.LG]FedProf: Optimizing Federated Learning with Dynamic Data Profiling
• [cs.LG]Federated Learning on Non-IID Data Silos: An Experimental Study
• [cs.LG]IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks
• [cs.LG]Impact of Data Processing on Fairness in Supervised Learning
• [cs.LG]Investigating Critical Risk Factors in Liver Cancer Prediction
• [cs.LG]Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
• [cs.LG]Learning Diverse-Structured Networks for Adversarial Robustness
• [cs.LG]Learning Graph Representations
• [cs.LG]Local Critic Training for Model-Parallel Learning of Deep Neural Networks
• [cs.LG]Multi-Instance Learning by Utilizing Structural Relationship among Instances
• [cs.LG]Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
• [cs.LG]On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
• [cs.LG]Organization of a Latent Space structure in VAE/GAN trained by navigation data
• [cs.LG]Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition
• [cs.LG]PARAFAC2 AO-ADMM: Constraints in all modes
• [cs.LG]Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
• [cs.LG]Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation
• [cs.LG]Symplectic Gaussian Process Dynamics
• [cs.LG]The Instability of Accelerated Gradient Descent
• [cs.LG]Towards Robust Neural Networks via Close-loop Control
• [cs.LG]Truly Sparse Neural Networks at Scale
• [cs.LG]Trusted Multi-View Classification
• [cs.LG]Uncertain Time Series Classification With Shapelet Transform
• [cs.LG]Variance Penalized On-Policy and Off-Policy Actor-Critic
• [cs.MA]Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning
• [cs.NE]Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
• [cs.NE]Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios
• [cs.NE]Optimization meets Big Data: A survey
• [cs.PL]Compact Native Code Generation for Dynamic Languages on Micro-core Architectures
• [cs.RO]”Grip-that-there”: An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration
• [cs.RO]A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks
• [cs.RO]Learning a Compact State Representation for Navigation Tasks by Autoencoding 2D-Lidar Scans
• [cs.RO]Object and Relation Centric Representations for Push Effect Prediction
• [cs.RO]Roughly Collected Dataset for Contact Force Sensing Catheter
• [cs.RO]Task Planning on Stochastic Aisle Graphs for Precision Agriculture
• [cs.SD]A Speaker Verification Backend with Robust Performance across Conditions
• [cs.SD]Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
• [cs.SD]Generacion de voces artificiales infantiles en castellano con acento costarricense
• [cs.SD]General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework
• [cs.SD]Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
• [cs.SD]Music source separation conditioned on 3D point clouds
• [cs.SD]Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
• [cs.SD]Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram
• [cs.SI]AttentionFlow: Visualising Influence in Networks of Time Series
• [cs.SI]LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign
• [cs.SI]Temporal Motifs in Smart Grid
• [econ.GN]The Great Equalizer: Medicare and the Geography of Consumer Financial Strain
• [eess.IV]1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
• [eess.IV]Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss
• [eess.IV]Dermo-DOCTOR: A web application for detection and recognition of the skin lesion using a deep convolutional neural network
• [eess.IV]Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
• [eess.IV]Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation
• [eess.IV]Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
• [eess.IV]TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
• [eess.IV]UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
• [eess.SP]A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds
• [eess.SY]Linear Continuous Sliding Mode-based Attitude Controller with Modified Rodrigues Parameters Feedback
• [math.OC]Community Detection with a Subsampled Semidefinite Program
• [math.OC]Distributed Zero-Order Optimization under Adversarial Noise
• [math.OC]Frank-Wolfe with a Nearest Extreme Point Oracle
• [math.OC]Generative deep learning for decision making in gas networks
• [math.OC]Quadratic Signaling Games with Channel Combining Ratio
• [math.ST]The Sample Complexities of Global Lipschitz Optimization
• [physics.med-ph]Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study
• [physics.optics]Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces
• [physics.soc-ph]Predicting Propensity to Vote with Machine Learning
• [physics.soc-ph]Revealing Critical Characteristics of Mobility Patterns in New York City during the Onset of COVID-19 Pandemic
• [q-bio.NC]Building population models for large-scale neural recordings: opportunities and pitfalls
• [q-bio.NC]Tracking fast and slow changes in synaptic weights from simultaneously observed pre- and postsynaptic spiking
• [quant-ph]Analyzing the barren plateau phenomenon in training quantum neural network with the ZX-calculus
• [quant-ph]Ansatz-Independent Variational Quantum Classifier
• [quant-ph]Decoding of Quantum Data-Syndrome Codes via Belief Propagation
• [quant-ph]Novel one-shot inner bounds for unassisted fully quantum channels via rate splitting
• [quant-ph]One-shot multi-sender decoupling and simultaneous decoding for the quantum MAC
• [stat.AP]A Compartment Model of Human Mobility and Early Covid-19 Dynamics in NYC
• [stat.AP]An Empirical Study on the Effects of the America Invents Act on Patent Applications Owned by Small Businesses
• [stat.AP]Estimating the radii of air bubbles in water using passive acoustic monitoring
• [stat.AP]Estimation of parameters of the logistic exponential distribution under progressive type-I hybrid censored sample
• [stat.AP]SiML: Sieved Maximum Likelihood for Array Signal Processing
• [stat.AP]Simulation-Based Decision Making in the NFL using NFLSimulatoR
• [stat.AP]You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network
• [stat.AP]fIRTree: An Item Response Theory modeling of fuzzy rating data
• [stat.ME]A Basis Approach to Surface Clustering
• [stat.ME]A Frequency Domain Bootstrap for General Multivariate Stationary Processes
• [stat.ME]Adaptive Frequency Band Analysis for Functional Time Series
• [stat.ME]Bayesian Fusion: Scalable unification of distributed statistical analyses
• [stat.ME]Couplings of the Random-Walk Metropolis algorithm
• [stat.ME]Inference on Heterogeneous Quantile Treatment Effects via Rank-Score Balancing
• [stat.ME]Model Calibration via Distributionally Robust Optimization: On the NASA Langley Uncertainty Quantification Challenge
• [stat.ME]Mortality Forecasting using Factor Models: Time-varying or Time-invariant Factor Loadings?
• [stat.ME]Sensitivity Analysis for Unmeasured Confounding via Effect Extrapolation
• [stat.ME]Splitting strategies for post-selection inference
• [stat.ME]Statistical Inference for Ordinal Predictors in Generalized Linear and Additive Models with Application to Bronchopulmonary Dysplasia
• [stat.ME]Unobserved classes and extra variables in high-dimensional discriminant analysis
• [stat.ML]Majorizing Measures, Sequential Complexities, and Online Learning
• [stat.ML]Noise-robust classification with hypergraph neural network
• [stat.ML]Time Adaptive Gaussian Model
• [stat.ML]Time Series Classification via Topological Data Analysis
• [stat.OT]A few statistical principles for data science
·····································
• [cs.AI]A Scalable Two Stage Approach to Computing Optimal Decision Sets
Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva
http://arxiv.org/abs/2102.01904v1
• [cs.AI]A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows
Mauro Lucci, Daniel Severín, Paula Zabala
http://arxiv.org/abs/2102.01780v1
• [cs.AI]Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
Yili Hong, Jie Min, Caleb B. King, William Q. Meeker
http://arxiv.org/abs/2102.01740v1
• [cs.AI]Social Network Analysis of Hadith Narrators from Sahih Bukhari
Tanvir Alam, Jens Schneider
http://arxiv.org/abs/2102.02009v1
• [cs.AI]The Archerfish Hunting Optimizer: a novel metaheuristic algorithm for global optimization
Farouq Zitouni, Saad Harous, Abdelghani Belkeram, Lokman Elhakim Baba Hammou
http://arxiv.org/abs/2102.02134v1
• [cs.AI]The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient
Yuval Shahar
http://arxiv.org/abs/2102.01811v1
• [cs.AI]Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang, Qinghao Ye, Jun Xia
http://arxiv.org/abs/2102.01998v1
• [cs.CL]A Computational Framework for Slang Generation
Zhewei Sun, Richard Zemel, Yang Xu
http://arxiv.org/abs/2102.01826v1
• [cs.CL]An Investigation Between Schema Linking and Text-to-SQL Performance
Yasufumi Taniguchi, Hiroki Nakayama, Kubo Takahiro, Jun Suzuki
http://arxiv.org/abs/2102.01847v1
• [cs.CL]Bootstrapping Multilingual AMR with Contextual Word Alignments
Janaki Sheth, Young-Suk Lee, Ramon Fernandez Astudillo, Tahira Naseem, Radu Florian, Salim Roukos, Todd Ward
http://arxiv.org/abs/2102.02189v1
• [cs.CL]Detecting Bias in Transfer Learning Approaches for Text Classification
Irene Li
http://arxiv.org/abs/2102.02114v1
• [cs.CL]DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
http://arxiv.org/abs/2102.02191v1
• [cs.CL]Disambiguatory Signals are Stronger in Word-initial Positions
Tiago Pimentel, Ryan Cotterell, Brian Roark
http://arxiv.org/abs/2102.02183v1
• [cs.CL]HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition
Avihay Chriqui, Inbal Yahav
http://arxiv.org/abs/2102.01909v1
• [cs.CL]Learning to Match Mathematical Statements with Proofs
Maximin Coavoux, Shay B. Cohen
http://arxiv.org/abs/2102.02110v1
• [cs.CL]Learning to Select External Knowledge with Multi-Scale Negative Sampling
Huang He, Hua Lu, Siqi Bao, Fan Wang, Hua Wu, Zhengyu Niu, Haifeng Wang
http://arxiv.org/abs/2102.02096v1
• [cs.CL]Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
Aparna Elangovan, Jiayuan He, Karin Verspoor
http://arxiv.org/abs/2102.01818v1
• [cs.CL]Neural Transfer Learning with Transformers for Social Science Text Analysis
Sandra Wankmüller
http://arxiv.org/abs/2102.02111v1
• [cs.CL]On Robustness of Neural Semantic Parsers
Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan
http://arxiv.org/abs/2102.01563v2
• [cs.CL]Pitfalls of Static Language Modelling
Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d’Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomas Kocisky, Susannah Young, Phil Blunsom
http://arxiv.org/abs/2102.01951v1
• [cs.CL]The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
http://arxiv.org/abs/2102.01672v2
• [cs.CL]The Multilingual TEDx Corpus for Speech Recognition and Translation
Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, Matt Post
http://arxiv.org/abs/2102.01757v1
• [cs.CL]Top-down Discourse Parsing via Sequence Labelling
Fajri Koto, Jey Han Lau, Timothy Baldwin
http://arxiv.org/abs/2102.02080v1
• [cs.CL]When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data
Peter Hase, Mohit Bansal
http://arxiv.org/abs/2102.02201v1
• [cs.CR]Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network
Praneet Singh, Jishnu Jaykumar, Akhil Pankaj, Reshmi Mitra
http://arxiv.org/abs/2102.01873v1
• [cs.CR]On Entropy and Bit Patterns of Ring Oscillator Jitter
Markku-Juhani O. Saarinen
http://arxiv.org/abs/2102.02196v1
• [cs.CR]Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
http://arxiv.org/abs/2102.01854v1
• [cs.CR]TAD: Trigger Approximation based Black-box Trojan Detection for AI
Xinqiao Zhang, Huili Chen, Farinaz Koushanfar
http://arxiv.org/abs/2102.01815v1
• [cs.CV]A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images
Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou
http://arxiv.org/abs/2102.01990v1
• [cs.CV]A generalised feature for low level vision
Dr David Sinclair, Dr Christopher Town
http://arxiv.org/abs/2102.02000v1
• [cs.CV]Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie
http://arxiv.org/abs/2102.01916v1
• [cs.CV]Automatic analysis of artistic paintings using information-based measures
Jorge Miguel Silva, Diogo Pratas, Rui Antunes, Sérgio Matos, Armando J. Pinho
http://arxiv.org/abs/2102.01767v1
• [cs.CV]Deep CNNs for large scale species classification
Raj Prateek Kosaraju
http://arxiv.org/abs/2102.01863v1
• [cs.CV]Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework
Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Alireza Bab-Hadiashar, Reza Hoseinnezhad
http://arxiv.org/abs/2102.01882v1
• [cs.CV]Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded Platforms
Rishabh Goyal, Joaquin Vanschoren, Victor van Acht, Stephan Nijssen
http://arxiv.org/abs/2102.02147v1
• [cs.CV]Isometric Propagation Network for Generalized Zero-shot Learning
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
http://arxiv.org/abs/2102.02038v1
• [cs.CV]L2C: Describing Visual Differences Needs Semantic Understanding of Individuals
An Yan, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang
http://arxiv.org/abs/2102.01860v1
• [cs.CV]Learning Graph Embeddings for Compositional Zero-shot Learning
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
http://arxiv.org/abs/2102.01987v1
• [cs.CV]Learning to identify image manipulations in scientific publications
Ghazal Mazaheri, Kevin Urrutia Avila, Amit K. Roy-Chowdhury
http://arxiv.org/abs/2102.01874v1
• [cs.CV]Multi-Scale Cost Volumes Cascade Network for Stereo Matching
Xiaogang Jia, Wei Chen, Zhengfa Liang, Yusong Tan, Mingfei Wu
http://arxiv.org/abs/2102.01940v1
• [cs.CV]Occluded Video Instance Segmentation
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip H. S. Torr, Song Bai
http://arxiv.org/abs/2102.01558v2
• [cs.CV]Predictive coding feedback results in perceived illusory contours in a recurrent neural network
Zhaoyang Pang, Callum Biggs O’May, Bhavin Choksi, Rufin VanRullen
http://arxiv.org/abs/2102.01955v1
• [cs.CV]Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, Sangyoun Lee
http://arxiv.org/abs/2102.01929v1
• [cs.CV]Relaxed Transformer Decoders for Direct Action Proposal Generation
Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu
http://arxiv.org/abs/2102.01894v1
• [cs.CV]Robust pedestrian detection in thermal imagery using synthesized images
My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto Del Bimbo
http://arxiv.org/abs/2102.02005v1
• [cs.CV]Vehicle trajectory prediction in top-view image sequences based on deep learning method
Zahra Salahshoori Nejad, Hamed Heravi, Ali Rahimpour Jounghani, Abdollah Shahrezaie, Afshin Ebrahimi
http://arxiv.org/abs/2102.01749v1
• [cs.CY]Skills-based on technological knowledge in the digital economy activity
Dr. Cesar R Salas-Guerra
http://arxiv.org/abs/2102.01711v1
• [cs.DC]Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
http://arxiv.org/abs/2102.01887v1
• [cs.DC]TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment
Jiashuo Zhang, Jianbo Gao, Ke Wang, Zhenhao Wu, Ying Lan, Zhi Guan, Zhong Chen
http://arxiv.org/abs/2102.01970v1
• [cs.DS]CountSketches, Feature Hashing and the Median of Three
Kasper Green Larsen, Rasmus Pagh, Jakub Tětek
http://arxiv.org/abs/2102.02193v1
• [cs.GR]Length Learning for Planar Euclidean Curves
Barak Or, Liam Hazan
http://arxiv.org/abs/2102.01895v1
• [cs.GT]Safe Search for Stackelberg Equilibria in Extensive-Form Games
Chun Kai Ling, Noam Brown
http://arxiv.org/abs/2102.01775v1
• [cs.HC]Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift Work
Alarith Uhde, Matthias Laschke, Marc Hassenzahl
http://arxiv.org/abs/2102.02132v1
• [cs.HC]What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach
Philip R Doyle, Leigh Clark, Benjamin R Cowan
http://arxiv.org/abs/2102.02094v1
• [cs.IR]Causal Collaborative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
http://arxiv.org/abs/2102.01868v1
• [cs.IR]Focusing Knowledge-based Graph Argument Mining via Topic Modeling
Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer
http://arxiv.org/abs/2102.02086v1
• [cs.IR]Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Roger Zhe Li, Julián Urbano, Alan Hanjalic
http://arxiv.org/abs/2102.01744v1
• [cs.IR]Session-based Recommendation with Self-Attention Networks
Jun Fang
http://arxiv.org/abs/2102.01922v1
• [cs.IT]A General Coded Caching Scheme for Scalar Linear Function Retrieval
Yinbin Ma, Daniela Tuninetti
http://arxiv.org/abs/2102.02122v1
• [cs.IT]Analysis and Design of Analog Fountain Codes for Short Packet Communications in IoT
Wen Jun Lim, Mahyar Shirvanimoghaddam, Rana Abbas, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/2102.01881v1
• [cs.IT]Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks
Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis
http://arxiv.org/abs/2102.01751v1
• [cs.IT]Efficient Decoding of Gabidulin Codes over Galois Rings
Sven Puchinger, Julian Renner, Antonia Wachter-Zeh, Jens Zumbrägel
http://arxiv.org/abs/2102.02157v1
• [cs.IT]Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective
Yucheng Liu, Lawrence Ong, Sarah Johnson, Joerg Kliewer, Parastoo Sadeghi, Phee Lep Yeoh
http://arxiv.org/abs/2102.01908v1
• [cs.IT]Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues
http://arxiv.org/abs/2102.02016v1
• [cs.IT]Missing Mass of Rank-2 Markov Chains
Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman
http://arxiv.org/abs/2102.01938v1
• [cs.IT]On Coding for an Abstracted Nanopore Channel for DNA Storage
Reyna Hulett, Shubham Chandak, Mary Wootters
http://arxiv.org/abs/2102.01839v1
• [cs.IT]On conditional Sibson’s -Mutual Information
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
http://arxiv.org/abs/2102.00720v3
• [cs.IT]Optimizing QoS for Erasure-Coded Wireless Data Centers
Srujan Teja Thomdapu, Ketan Rajawat
http://arxiv.org/abs/2102.01914v1
• [cs.IT]Pliable Index Coding via Conflict-Free Colorings of Hypergraphs
Prasad Krishnan, Rogers Mathew, Subrahmanyam Kalyanasundaram
http://arxiv.org/abs/2102.02182v1
• [cs.IT]Polar Codes for Channels with Insertions, Deletions, and Substitutions
Henry D. Pfister, Ido Tal
http://arxiv.org/abs/2102.02155v1
• [cs.IT]Private Linear Transformation: The Joint Privacy Case
Nahid Esmati, Anoosheh Heidarzadeh, Alex Sprintson
http://arxiv.org/abs/2102.01665v2
• [cs.IT]Secret Key Agreement and Secure Omniscience of Tree-PIN Source with Linear Wiretapper
Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou
http://arxiv.org/abs/2102.01771v1
• [cs.IT]Space Shift Keying with Reconfigurable Intelligent Surfaces: Phase Configuration Designs and Performance Analysis
Qiang Li, Miaowen Wen, Shuai Wang, George C. Alexandropoulos, Yik-Chung Wu
http://arxiv.org/abs/2102.01912v1
• [cs.LG]A Bayesian Federated Learning Framework with Multivariate Gaussian Product
Liangxi Liu, Feng Zheng
http://arxiv.org/abs/2102.01936v1
• [cs.LG]A Bayesian Neural Network based on Dropout Regulation
Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli
http://arxiv.org/abs/2102.01968v1
• [cs.LG]A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
Atefeh Shahroudnejad
http://arxiv.org/abs/2102.01792v1
• [cs.LG]AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices
Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque
http://arxiv.org/abs/2102.01875v1
• [cs.LG]Adversarially Robust Learning with Unknown Perturbation Sets
Omar Montasser, Steve Hanneke, Nathan Srebro
http://arxiv.org/abs/2102.02145v1
• [cs.LG]Apollo: Transferable Architecture Exploration
Amir Yazdanbakhsh, Christof Angermueller, Berkin Akin, Yanqi Zhou, Albin Jones, Milad Hashemi, Kevin Swersky, Satrajit Chatterjee, Ravi Narayanaswami, James Laudon
http://arxiv.org/abs/2102.01723v1
• [cs.LG]BeFair: Addressing Fairness in the Banking Sector
Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel Gonzalez
http://arxiv.org/abs/2102.02137v1
• [cs.LG]Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
http://arxiv.org/abs/2102.01752v1
• [cs.LG]Depth separation beyond radial functions
Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna
http://arxiv.org/abs/2102.01621v2
• [cs.LG]Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
Vinod K Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri
http://arxiv.org/abs/2102.01906v1
• [cs.LG]Embodied Intelligence via Learning and Evolution
Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei
http://arxiv.org/abs/2102.02202v1
• [cs.LG]Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
Viviane Clay, Peter König, Gordon Pipa, Kai-Uwe Kühnberger
http://arxiv.org/abs/2102.02153v1
• [cs.LG]FedProf: Optimizing Federated Learning with Dynamic Data Profiling
Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song
http://arxiv.org/abs/2102.01733v1
• [cs.LG]Federated Learning on Non-IID Data Silos: An Experimental Study
Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He
http://arxiv.org/abs/2102.02079v1
• [cs.LG]IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks
Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jelena Mišić, Vojislav B. Mišić
http://arxiv.org/abs/2102.02128v1
• [cs.LG]Impact of Data Processing on Fairness in Supervised Learning
Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash
http://arxiv.org/abs/2102.01867v1
• [cs.LG]Investigating Critical Risk Factors in Liver Cancer Prediction
Jinpeng Li, Yaling Tao, Ting Cai
http://arxiv.org/abs/2102.02088v1
• [cs.LG]Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
Viraj Kulkarni, Manish Gawali, Amit Kharat
http://arxiv.org/abs/2102.01979v1
• [cs.LG]Learning Diverse-Structured Networks for Adversarial Robustness
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
http://arxiv.org/abs/2102.01886v1
• [cs.LG]Learning Graph Representations
Rucha Bhalchandra Joshi, Subhankar Mishra
http://arxiv.org/abs/2102.02026v1
• [cs.LG]Local Critic Training for Model-Parallel Learning of Deep Neural Networks
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee
http://arxiv.org/abs/2102.01963v1
• [cs.LG]Multi-Instance Learning by Utilizing Structural Relationship among Instances
Yangling Ma, Zhouwang Yang
http://arxiv.org/abs/2102.01889v1
• [cs.LG]Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin, Yu Bai, Yu-Xiang Wang
http://arxiv.org/abs/2102.01748v1
• [cs.LG]On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
Gellert Weisz, Philip Amortila, Barnabás Janzer, Yasin Abbasi-Yadkori, Nan Jiang, Csaba Szepesvári
http://arxiv.org/abs/2102.02049v1
• [cs.LG]Organization of a Latent Space structure in VAE/GAN trained by navigation data
Hiroki Kojima, Takashi Ikegami
http://arxiv.org/abs/2102.01852v1
• [cs.LG]Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition
Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun
http://arxiv.org/abs/2102.02171v1
• [cs.LG]PARAFAC2 AO-ADMM: Constraints in all modes
Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar
http://arxiv.org/abs/2102.02087v1
• [cs.LG]Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
http://arxiv.org/abs/2102.01431v2
• [cs.LG]Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation
Yi-Shiou Duh, Ray Chang
http://arxiv.org/abs/2102.01788v1
• [cs.LG]Symplectic Gaussian Process Dynamics
Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe
http://arxiv.org/abs/2102.01606v1
• [cs.LG]The Instability of Accelerated Gradient Descent
Amit Attia, Tomer Koren
http://arxiv.org/abs/2102.02167v1
• [cs.LG]Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen, Qianxiao Li, Zheng Zhang
http://arxiv.org/abs/2102.01862v1
• [cs.LG]Truly Sparse Neural Networks at Scale
Selima Curci, Decebal Constantin Mocanu, Mykola Pechenizkiyi
http://arxiv.org/abs/2102.01732v1
• [cs.LG]Trusted Multi-View Classification
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
http://arxiv.org/abs/2102.02051v1
• [cs.LG]Uncertain Time Series Classification With Shapelet Transform
Michael Franklin Mbouopda, Engelbert Mephu Nguifo
http://arxiv.org/abs/2102.02090v1
• [cs.LG]Variance Penalized On-Policy and Off-Policy Actor-Critic
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
http://arxiv.org/abs/2102.01985v1
• [cs.MA]Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning
Huan Chang, Yicheng Chen, Baochang Zhang, David Doermann
http://arxiv.org/abs/2102.02078v1
• [cs.NE]Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
http://arxiv.org/abs/2102.01645v2
• [cs.NE]Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios
Ricardo Di Pasquale, Javier Marenco
http://arxiv.org/abs/2102.01830v1
• [cs.NE]Optimization meets Big Data: A survey
Ricardo Di Pasquale, Javier Marenco
http://arxiv.org/abs/2102.01832v1
• [cs.PL]Compact Native Code Generation for Dynamic Languages on Micro-core Architectures
Maurice Jamieson, Nick Brown
http://arxiv.org/abs/2102.02109v1
• [cs.RO]“Grip-that-there”: An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration
Karthik Mahadevan, Maurício Sousa, Anthony Tang, Tovi Grossman
http://arxiv.org/abs/2102.00581v2
• [cs.RO]A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation Tasks
Omar Zahra, David Navarro-Alarcon, Silvia Tolu
http://arxiv.org/abs/2102.01966v1
• [cs.RO]Learning a Compact State Representation for Navigation Tasks by Autoencoding 2D-Lidar Scans
Christopher Gebauer, Maren Bennewitz
http://arxiv.org/abs/2102.02127v1
• [cs.RO]Object and Relation Centric Representations for Push Effect Prediction
Ahmet E. Tekden, Aykut Erdem, Erkut Erdem, Tamim Asfour, Emre Ugur
http://arxiv.org/abs/2102.02100v1
• [cs.RO]Roughly Collected Dataset for Contact Force Sensing Catheter
Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang
http://arxiv.org/abs/2102.01932v1
• [cs.RO]Task Planning on Stochastic Aisle Graphs for Precision Agriculture
Xinyue Kan, Thomas C. Thayer, Stefano Carpin, Konstantinos Karydis
http://arxiv.org/abs/2102.01825v1
• [cs.SD]A Speaker Verification Backend with Robust Performance across Conditions
Luciana Ferrer, Mitchell McLaren, Niko Brummer
http://arxiv.org/abs/2102.01760v1
• [cs.SD]Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
Achintya Kumar Sarkar, Md Sahidullah, Zheng-Hua Tan
http://arxiv.org/abs/2102.02074v1
• [cs.SD]Generacion de voces artificiales infantiles en castellano con acento costarricense
Ana Lilia Alvarez-Blanco, Eugenia Cordoba-Warner, Marvin Coto-Jimenez, Vivian Fallas-Lopez, Maribel Morales Rodriguez
http://arxiv.org/abs/2102.01692v1
• [cs.SD]General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework
Yucheng Zhao, Dacheng Yin, Chong Luo, Zhiyuan Zhao, Chuanxin Tang, Wenjun Zeng, Zheng-Jun Zha
http://arxiv.org/abs/2102.01930v1
• [cs.SD]Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
Shengkui Zhao, Trung Hieu Nguyen, Bin Ma
http://arxiv.org/abs/2102.01993v1
• [cs.SD]Music source separation conditioned on 3D point clouds
Francesc Lluís, Vasileios Chatziioannou, Alex Hofmann
http://arxiv.org/abs/2102.02028v1
• [cs.SD]Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation
Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang
http://arxiv.org/abs/2102.01813v1
• [cs.SD]Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram
Shengkui Zhao, Hao Wang, Trung Hieu Nguyen, Bin Ma
http://arxiv.org/abs/2102.01991v1
• [cs.SI]AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin, Alasdair Tran, Siqi Wu, Alexander Mathews, Rong Wang, Georgiana Lyall, Lexing Xie
http://arxiv.org/abs/2102.01974v1
• [cs.SI]LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign
Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu
http://arxiv.org/abs/2102.01902v1
• [cs.SI]Temporal Motifs in Smart Grid
Rucha Bhalchandra Joshi, Annada Prasad Behera, Subhankar Mishra
http://arxiv.org/abs/2102.01900v1
• [econ.GN]The Great Equalizer: Medicare and the Geography of Consumer Financial Strain
Paul Goldsmith-Pinkham, Maxim Pinkovskiy, Jacob Wallace
http://arxiv.org/abs/2102.02142v1
• [eess.IV]1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
Wolfgang Fuhl
http://arxiv.org/abs/2102.01921v1
• [eess.IV]Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss
Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang
http://arxiv.org/abs/2102.01897v1
• [eess.IV]Dermo-DOCTOR: A web application for detection and recognition of the skin lesion using a deep convolutional neural network
Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md. Ashraful Alam, Md. Toufick E Elahi, Aishwariya Dutta, S. M. Taslim Uddin Raju, Mohiuddin Ahmad
http://arxiv.org/abs/2102.01824v1
• [eess.IV]Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
Yang Wen
http://arxiv.org/abs/2102.01549v2
• [eess.IV]Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation
Yuhang Ding, Xin Yu, Yi Yang
http://arxiv.org/abs/2102.02033v1
• [eess.IV]Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Tarun Kanti Ghosh, Md. Kamrul Hasan, Shidhartho Roy, Md. Ashraful Alam, Eklas Hossain
9fa, Mohiuddin Ahmad
http://arxiv.org/abs/2102.01822v1
• [eess.IV]TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci
http://arxiv.org/abs/2102.02115v1
• [eess.IV]UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
Ru Li, Chuan Wang, Shuaicheng Liu, Jue Wang, Guanghui Liu, Bing Zeng
http://arxiv.org/abs/2102.01850v1
• [eess.SP]A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds
Ramith Hettiarachchi, Udith Haputhanthri, Kithmini Herath, Hasindu Kariyawasam, Shehan Munasinghe, Kithmin Wickramasinghe, Duminda Samarasinghe, Anjula De Silva, Chamira Edussooriya
http://arxiv.org/abs/2102.01728v1
• [eess.SY]Linear Continuous Sliding Mode-based Attitude Controller with Modified Rodrigues Parameters Feedback
Harry Septanto, Djoko Suprijanto
http://arxiv.org/abs/2102.01901v1
• [math.OC]Community Detection with a Subsampled Semidefinite Program
Pedro Abdalla, Afonso S. Bandeira
http://arxiv.org/abs/2102.01419v2
• [math.OC]Distributed Zero-Order Optimization under Adversarial Noise
Arya Akhavan, Massimiliano Pontil, Alexandre B. Tsybakov
http://arxiv.org/abs/2102.01121v2
• [math.OC]Frank-Wolfe with a Nearest Extreme Point Oracle
Dan Garber, Noam Wolf
http://arxiv.org/abs/2102.02029v1
• [math.OC]Generative deep learning for decision making in gas networks
Lovis Anderson, Mark Turner, Thorsten Koch
http://arxiv.org/abs/2102.02125v1
• [math.OC]Quadratic Signaling Games with Channel Combining Ratio
Serkan Sarıtaş, Photios A. Stavrou, Ragnar Thobaben, Mikael Skoglund
http://arxiv.org/abs/2102.02099v1
• [math.ST]The Sample Complexities of Global Lipschitz Optimization
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz
http://arxiv.org/abs/2102.01977v1
• [physics.med-ph]Initial condition assessment for reaction-diffusion glioma growth models: A translational MRI/histology (in)validation study
Corentin Martens, Laetitia Lebrun, Christine Decaestecker, Thomas Vandamme, Yves-Rémi Van Eycke, Antonin Rovai, Thierry Metens, Olivier Debeir, Serge Goldman, Isabelle Salmon, Gaetan Van Simaeys
http://arxiv.org/abs/2102.01719v1
• [physics.optics]Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces
Sensong An, Bowen Zheng, Mikhail Y. Shalaginov, Hong Tang, Hang Li, Li Zhou, Yunxi Dong, Mohammad Haerinia, Anuradha Murthy Agarwal, Clara Rivero-Baleine, Myungkoo Kang, Kathleen A. Richardson, Tian Gu, Juejun Hu, Clayton Fowler, Hualiang Zhang
http://arxiv.org/abs/2102.01761v1
• [physics.soc-ph]Predicting Propensity to Vote with Machine Learning
Rebecca D. Pollard, Sara M. Pollard, Scott Streit
http://arxiv.org/abs/2102.01535v2
• [physics.soc-ph]Revealing Critical Characteristics of Mobility Patterns in New York City during the Onset of COVID-19 Pandemic
Akhil Anil Rajput, Qingchun Li, Xinyu Gao, Ali Mostafavi
http://arxiv.org/abs/2102.01918v1
• [q-bio.NC]Building population models for large-scale neural recordings: opportunities and pitfalls
Cole Hurwitz, Nina Kudryashova, Arno Onken, Matthias H. Hennig
http://arxiv.org/abs/2102.01807v1
• [q-bio.NC]Tracking fast and slow changes in synaptic weights from simultaneously observed pre- and postsynaptic spiking
Ganchao Wei, Ian H. Stevenson
http://arxiv.org/abs/2102.01803v1
• [quant-ph]Analyzing the barren plateau phenomenon in training quantum neural network with the ZX-calculus
Chen Zhao, Xiao-Shan Gao
http://arxiv.org/abs/2102.01828v1
• [quant-ph]Ansatz-Independent Variational Quantum Classifier
Hideyuki Miyahara, Vwani Roychowdhury
http://arxiv.org/abs/2102.01759v1
• [quant-ph]Decoding of Quantum Data-Syndrome Codes via Belief Propagation
Kao-Yueh Kuo, I-Chun Chern, Ching-Yi Lai
http://arxiv.org/abs/2102.01984v1
• [quant-ph]Novel one-shot inner bounds for unassisted fully quantum channels via rate splitting
Sayantan Chakraborty, Aditya Nema, Pranab Sen
http://arxiv.org/abs/2102.01766v1
• [quant-ph]One-shot multi-sender decoupling and simultaneous decoding for the quantum MAC
Sa
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yantan Chakraborty, Aditya Nema, Pranab Sen
http://arxiv.org/abs/2102.02187v1
• [stat.AP]A Compartment Model of Human Mobility and Early Covid-19 Dynamics in NYC
Ian Frankenburg, Sudipto Banerjee
http://arxiv.org/abs/2102.01821v1
• [stat.AP]An Empirical Study on the Effects of the America Invents Act on Patent Applications Owned by Small Businesses
Yoo Jeong Han
http://arxiv.org/abs/2102.02160v1
• [stat.AP]Estimating the radii of air bubbles in water using passive acoustic monitoring
Paulo Hubert, Linilson Padovese
http://arxiv.org/abs/2102.02143v1
• [stat.AP]Estimation of parameters of the logistic exponential distribution under progressive type-I hybrid censored sample
Subhankar Dutta, Suchandan Kayal
http://arxiv.org/abs/2102.02091v1
• [stat.AP]SiML: Sieved Maximum Likelihood for Array Signal Processing
Matthieu Simeoni, Paul Hurley
http://arxiv.org/abs/2102.01950v1
• [stat.AP]Simulation-Based Decision Making in the NFL using NFLSimulatoR
Benjamin Williams, Will Palmquist, Ryan Elmore
http://arxiv.org/abs/2102.01846v1
• [stat.AP]You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network
Will Gürpınar-Morgan, Daniel Dinsdale, Joe Gallagher, Aditya Cherukumudi, Patrick Lucey
http://arxiv.org/abs/2102.01952v1
• [stat.AP]fIRTree: An Item Response Theory modeling of fuzzy rating data
Antonio Calcagnì
http://arxiv.org/abs/2102.02025v1
• [stat.ME]A Basis Approach to Surface Clustering
Adriano Zanin Zambom, Qing Wang, Ronaldo Dias
http://arxiv.org/abs/2102.01769v1
• [stat.ME]A Frequency Domain Bootstrap for General Multivariate Stationary Processes
Marco Meyer, Efstathios Paparoditis
http://arxiv.org/abs/2102.01943v1
• [stat.ME]Adaptive Frequency Band Analysis for Functional Time Series
Pramita Bagchi, Scott A. Bruce
http://arxiv.org/abs/2102.01784v1
• [stat.ME]Bayesian Fusion: Scalable unification of distributed statistical analyses
Hongsheng Dai, Murray Pollock, Gareth Roberts
http://arxiv.org/abs/2102.02123v1
• [stat.ME]Couplings of the Random-Walk Metropolis algorithm
John O’Leary
http://arxiv.org/abs/2102.01790v1
• [stat.ME]Inference on Heterogeneous Quantile Treatment Effects via Rank-Score Balancing
Alexander Giessing, Jingshen Wang
http://arxiv.org/abs/2102.01753v1
• [stat.ME]Model Calibration via Distributionally Robust Optimization: On the NASA Langley Uncertainty Quantification Challenge
Yuanlu Bai, Zhiyuan Huang, Henry Lam
http://arxiv.org/abs/2102.01840v1
• [stat.ME]Mortality Forecasting using Factor Models: Time-varying or Time-invariant Factor Loadings?
Lingyu He, Fei Huang, Jianjie Shi, Yanrong Yang
http://arxiv.org/abs/2102.01844v1
• [stat.ME]Sensitivity Analysis for Unmeasured Confounding via Effect Extrapolation
Wen Wei Loh, Stijn Vansteelandt
http://arxiv.org/abs/2102.01935v1
• [stat.ME]Splitting strategies for post-selection inference
Daniel G. Rasines, G. Alastair Young
http://arxiv.org/abs/2102.02159v1
• [stat.ME]Statistical Inference for Ordinal Predictors in Generalized Linear and Additive Models with Application to Bronchopulmonary Dysplasia
Jan Gertheiss, Fabian Scheipl, Tina Lauer, Harald Ehrhardt
http://arxiv.org/abs/2102.01946v1
• [stat.ME]Unobserved classes and extra variables in high-dimensional discriminant analysis
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
http://arxiv.org/abs/2102.01982v1
• [stat.ML]Majorizing Measures, Sequential Complexities, and Online Learning
Adam Block, Yuval Dagan, Sasha Rakhlin
http://arxiv.org/abs/2102.01729v1
• [stat.ML]Noise-robust classification with hypergraph neural network
Nguyen Trinh Vu Dang, Loc Tran, Linh Tran
http://arxiv.org/abs/2102.01934v1
• [stat.ML]Time Adaptive Gaussian Model
Federico Ciech, Veronica Tozzo
http://arxiv.org/abs/2102.01238v2
• [stat.ML]Time Series Classification via Topological Data Analysis
Alperen Karan, Atabey Kaygun
http://arxiv.org/abs/2102.01956v1
• [stat.OT]A few statistical principles for data science
Noel Cressie
http://arxiv.org/abs/2102.01892v1
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