astro-ph.EP - 地球与行星天体 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.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.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.SP - 信号处理 eess.SY - 系统和控制 math.DS - 动力系统 math.OC - 优化与控制 math.ST - 统计理论 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.EP]A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey
    • [astro-ph.EP]Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
    • [cs.AI]A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
    • [cs.AI]Artificial intelligence prediction of stock prices using social media
    • [cs.AI]Chemistry42: An AI-based platform for de novo molecular design
    • [cs.AR]Direct Spatial Implementation of Sparse Matrix Multipliers for Reservoir Computing
    • [cs.CL]A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization
    • [cs.CL]Beyond Domain APIs: Task-oriented Conversational Modeling with UnstructuredKnowledge Access Track in DSTC9
    • [cs.CL]CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text
    • [cs.CL]Distilling Large Language Models into Tiny and Effective Students using pQRNN
    • [cs.CL]Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?
    • [cs.CL]Enhanced word embeddings using multi-semantic representation through lexical chains
    • [cs.CL]Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation
    • [cs.CL]Evaluation Discrepancy Discovery: A Sentence Compression Case-study
    • [cs.CL]Extracting Lifestyle Factors for Alzheimer’s Disease from Clinical Notes Using Deep Learning with Weak Supervision
    • [cs.CL]HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection
    • [cs.CL]Knowledge Graph Completion with Text-aided Regularization
    • [cs.CL]Lexical semantic change for Ancient Greek and Latin
    • [cs.CL]Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification
    • [cs.CL]Streaming Models for Joint Speech Recognition and Translation
    • [cs.CL]The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
    • [cs.CL]Unsupervised Technical Domain Terms Extraction using Term Extractor
    • [cs.CR]A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion
    • [cs.CR]The Privacy-Utility Tradeoff of Robust Local Differential Privacy
    • [cs.CV]A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics
    • [cs.CV]A Spike Learning System for Event-driven Object Recognition
    • [cs.CV]A Two-stream Neural Network for Pose-based Hand Gesture Recognition
    • [cs.CV]AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
    • [cs.CV]Bridging the gap between Human Action Recognition and Online Action Detection
    • [cs.CV]Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning
    • [cs.CV]DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
    • [cs.CV]Dense outlier detection and open-set recognition based on training with noisy negative images
    • [cs.CV]Expre
    1000
    ssion Recognition Analysis in the Wild
    • [cs.CV]Generative Replay-based Continual Zero-Shot Learning
    • [cs.CV]Hessian-Aware Pruning and Optimal Neural Implant
    • [cs.CV]Human Interaction Recognition Framework based on Interacting Body Part Attention
    • [cs.CV]Hybrid Rotation Averaging: A Globally Guaranteed Fast and Robust Rotation Averaging Approach
    • [cs.CV]Iterative Optimisation with an Innovation CNN for Pose Refinement
    • [cs.CV]Occlusion Handling in Generic Object Detection: A Review
    • [cs.CV]Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
    • [cs.CV]Rethinking Domain Generalization Baselines
    • [cs.CV]SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
    • [cs.CV]Solving the Same-Different Task with Convolutional Neural Networks
    • [cs.CV]Towards Enhancing Fine-grained Details for Image Matting
    • [cs.CV]Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
    • [cs.CY]”This Whole Thing Smacks of Gender”: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis
    • [cs.CY]A Survey of Requirements for COVID-19 Mitigation Strategies. Part II: Elicitation of Requirements
    • [cs.CY]Applications of artificial intelligence in drug development using real-world data
    • [cs.CY]Brazilian Favela Women: How Your Standard Solutions for Technology Abuse Might Actually Harm Them
    • [cs.CY]Efficient Data Management for Intelligent Urban Mobility Systems
    • [cs.CY]The Internet of Things in Ports: Six Key Security and Governance Challenges for the UK (Policy Brief)
    • [cs.DC]Cloud-Based Content Cooperation System to Assist Collaborative Learning Environment
    • [cs.DC]Distributed Compilation System for High-Speed Software Build Processes
    • [cs.DC]Efficient MPI-based Communication for GPU-Accelerated Dask Applications
    • [cs.HC]LonelyText: A Short Messaging Based Classification of Loneliness
    • [cs.HC]My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking
    • [cs.HC]The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers
    • [cs.HC]Understanding Visual Saliency in Mobile User Interfaces
    • [cs.IR]Impact of Response Latency on User Behaviour in Mobile Web Search
    • [cs.IR]Misplaced trust? The relationship between trust, ability to identify commercially influenced results, and search engine preference
    • [cs.IR]Network Clustering for Multi-task Learning
    • [cs.IR]Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
    • [cs.IR]WIP: Distance Estimation for Contact Tracing — A Measurement Study of BLE and UWB Traces
    • [cs.IT]Binary Polar Codes Based on Bit Error Probability
    • [cs.IT]CSI-Based Localization with CNNs Exploiting Phase Information
    • [cs.IT]Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networks
    • [cs.IT]Minimizing Age of Incorrect Information for Unreliable Channel with Power Constraint
    • [cs.IT]Orthogonal subspace based fast iterative thresholding algorithms for joint sparsity recovery
    • [cs.IT]Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission
    • [cs.IT]Predictive Wireless Based Status Update for Communication-Agnostic Sampling
    • [cs.IT]Twisted-Pair Superposition Transmission
    • [cs.IT]Unequal Error Protection Achieves Threshold Gains on BEC and BSC via Higher Fidelity Messages
    • [cs.IT]Update-based Maximum Column Distance Coding Scheme for Index Coding Problem
    • [cs.LG]A Study of Continuous Vector Representationsfor Theorem Proving
    • [cs.LG]A shallow neural model for relation prediction
    • [cs.LG]Adaptive Neighbourhoods for the Discovery of Adversarial Examples
    • [cs.LG]Adversarial Laws of Large Numbers and Optimal Regret in Online Classification
    • [cs.LG]Breaking the Deadly Triad with a Target Network
    • [cs.LG]Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
    • [cs.LG]Differentiable Trust Region Layers for Deep Reinforcement Learning
    • [cs.LG]Graphical Models for Financial Time Series and Portfolio Selection
    • [cs.LG]Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning
    • [cs.LG]Knowledge Generation — Variational Bayes on Knowledge Graphs
    • [cs.LG]Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
    • [cs.LG]Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
    • [cs.LG]Predicting Autism Spectrum Disorder Using Machine Learning Classifiers
    • [cs.LG]Prior Preference Learning from Experts:Designing a Reward with Active Inference
    • [cs.LG]Selfish Sparse RNN Training
    • [cs.LG]Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
    • [cs.LG]Time-Correlated Sparsification for Communication-Efficient Federated Learning
    • [cs.LG]Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits
    • [cs.MA]Estimating 今日学术视野(2021.1.26) - 图1-Rank by Maximizing Information Gain
    • [cs.NE]Approximation capability of two hidden layer feedforward neural networks with fixed weights
    • [cs.RO]Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms
    • [cs.SD]Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition
    • [cs.SE]It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports
    • [cs.SI]Deepfakes and the 2020 US elections: what (did not) happen
    • [cs.SI]Refining Network Alignment to Improve Matched Neighborhood Consistency
    • [eess.IV]A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images
    • [eess.IV]Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images
    • [eess.IV]Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
    • [eess.IV]Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net
    • [eess.IV]B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction
    • [eess.IV]Progressive Image Super-Resolution via Neural Differential Equation
    • [eess.IV]Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images
    • [eess.IV]Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization
    • [eess.SP]Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
    • [eess.SP]Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning
    • [eess.SY]Distributed Receding Horizon Control of Autonomous Convoy with Self-Interested Vehicles
    • [math.DS]Fourier Series-Based Approximation of Time-Varying Parameters Using the Ensemble Kalman Filter
    • [math.OC]E-commerce warehousing: learning a storage policy
    • [math.ST]Fixed-Domain Asymptotics Under Vecchia’s Approximation of Spatial Process Likelihoods
    • [math.ST]Increasing Cluster Size Asymptotics for Nested Error Regression Models
    • [math.ST]On the robustness to adversarial corruption and to heavy-tailed data of the Stahel-Donoho median of means
    • [math.ST]Representation and Learning of Context-Specific Causal Models with Observational and Interventional Data
    • [math.ST]The extended Bregman divergence and parametric estimation
    • [q-bio.QM]Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods
    • [stat.AP]A heavy-tailed and overdispersed collective risk model
    • [stat.ME]Bayesian hierarchical stacking
    • [stat.ME]Flexible estimation of the state dwell-time distribution in hidden semi-Markov models
    • [stat.ME]New randomized response technique for estimating the population total of a quantitative variable
    • [stat.ME]Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
    • [stat.ME]RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data
    • [stat.ME]Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
    • [stat.ME]Semi-parametric estimation of biomarker age trends with endogenous medication use in longitudinal data
    • [stat.ME]Stochastic Modeling of an Infectious Disease Part III-A: Analysis of Time-Nonhomogeneous Models
    • [stat.ML]Differentially Private SGD with Non-Smooth Loss
    • [stat.ML]Linear Regression with Distributed Learning: A Generalization Error Perspective
    • [stat.ML]On Maximum Likelihood Training of Score-Based Generative Models
    • [stat.ML]SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
    • [stat.ML]Sparsistent filtering of comovement networks from high-dimensional data
    • [stat.ML]Will Artificial Intelligence supersede Earth System and Climate Models?

    ·····································

    • [astro-ph.EP]A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey
    Amandin Chyba Rabeendran, Larry Denneau
    http://arxiv.org/abs/2101.08912v1

    • [astro-ph.EP]Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
    Sriram Rao, Ashish Mahabal, Niyanth Rao, Cauligi Raghavendra
    http://arxiv.org/abs/2101.09227v1

    • [cs.AI]A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
    Barry Smyth, Mark T Keane
    http://arxiv.org/abs/2101.09056v1

    • [cs.AI]Artificial intelligence prediction of stock prices using social media
    Kavyashree Ranawat, Stefano Giani
    http://arxiv.org/abs/2101.08986v1

    • [cs.AI]Chemistry42: An AI-based platform for de novo molecular design
    Yan A. Ivanenkov, Alex Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov
    http://arxiv.org/abs/2101.09050v1

    • [cs.AR]Direct Spatial Implementation of Sparse Matrix Multipliers for Reservoir Computing
    Matthew Denton, Herman Schmit
    http://arxiv.org/abs/2101.08884v1

    • [cs.CL]A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization
    Ming Liang, Kui Xue, Tong Ruan
    http://arxiv.org/abs/2101.09101v1

    • [cs.CL]Beyond Domain APIs: Task-oriented Conversational Modeling with UnstructuredKnowledge Access Track in DSTC9
    Seokhwan Kim, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tur
    http://arxiv.org/abs/2101.09276v1

    • [cs.CL]CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text
    Suman Dowlagar, Radhika Mamidi
    http://arxiv.org/abs/2101.09004v1

    • [cs.CL]Distilling Large Language Models into Tiny and Effective Students using pQRNN
    Prabhu Kaliamoorthi, Aditya Siddhant, Edward Li, Melvin Johnson
    http://arxiv.org/abs/2101.08890v1

    • [cs.CL]Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?
    Suman Dowlagar, Radhika Mamidi
    http://arxiv.org/abs/2101.09009v1

    • [cs.CL]Enhanced word embeddings using multi-semantic representation through lexical chains
    Terry Ruas, Charles Henrique Porto Ferreira, William Grosky, Fabrício Olivetti de França, Débora Maria Rossi Medeiros
    http://arxiv.org/abs/2101.09023v1

    • [cs.CL]Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation
    Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
    http://arxiv.org/abs/2101.08942v1

    • [cs.CL]Evaluation Discrepancy Discovery: A Sentence Compression Case-study
    Yevgeniy Puzikov
    http://arxiv.org/abs/2101.09079v1

    • [cs.CL]Extracting Lifestyle Factors for Alzheimer’s Disease from Clinical Notes Using Deep Learning with Weak Supervision
    Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang
    http://arxiv.org/abs/2101.09244v1

    • [cs.CL]HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection
    Suman Dowlagar, Radhika Mamidi
    http://arxiv.org/abs/2101.09007v1

    • [cs.CL]Knowledge Graph Completion with Text-aided Regularization
    Tong Chen, Sirou Zhu, Yiming Wen, Zhaomin Zheng
    http://arxiv.org/abs/2101.08962v1

    • [cs.CL]Lexical semantic change for Ancient Greek and Latin
    Valerio Perrone, Simon Hengchen, Marco Palma, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray
    http://arxiv.org/abs/2101.09069v1

    • [cs.CL]Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification
    Suman Dowlagar, Radhika Mamidi
    http://arxiv.org/abs/2101.09012v1

    • [cs.CL]Streaming Models for Joint Speech Recognition and Translation
    Orion Weller, Matthias Sperber, Christian Gollan, Joris Kluivers
    http://arxiv.org/abs/2101.09149v1

    • [cs.CL]The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
    Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra
    http://arxiv.org/abs/2101.09115v1

    • [cs.CL]Unsupervised Technical Domain Terms Extraction using Term Extractor
    Suman Dowlagar, Radhika Mamidi
    http://arxiv.org/abs/2101.09015v1

    • [cs.CR]A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion
    Yuzhou Lin, Xiaolin Chang
    http://arxiv.org/abs/2101.08969v1

    • [cs.CR]The Privacy-Utility Tradeoff of Robust Local Differential Privacy
    Milan Lopuhaä-Zwakenberg, Jasper Goseling
    http://arxiv.org/abs/2101.09139v1

    • [cs.CV]A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics
    Yitian Yuan, Xiaohan Lan, Long Chen, Wei Liu, Wenwu Zhu
    http://arxiv.org/abs/2101.09028v1

    • [cs.CV]A Spike Learning System for Event-driven Object Recognition
    Shibo Zhou, Wei Wang, Xiaohua Li, Zhanpeng Jin
    http://arxiv.org/abs/2101.08850v1

    • [cs.CV]A Two-stream Neural Network for Pose-based Hand Gesture Recognition
    Chuankun Li, Shuai Li, Yanbo Gao, Xiang Zhang, Wanqing Li
    http://arxiv.org/abs/2101.08926v1

    • [cs.CV]AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
    Mengjie Guo, Hengrong Lan, Changchun Yang, Fei Gao
    http://arxiv.org/abs/2101.08934v1

    • [cs.CV]Bridging the gap between Human Action Recognition and Online Action Detection
    Alban Main de Boissiere, Rita Noumeir
    http://arxiv.org/abs/2101.08851v1

    • [cs.CV]Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning
    Gangming Zhao, Baolian Qi, Jinpeng Li
    http://arxiv.org/abs/2101.08992v1

    • [cs.CV]DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
    Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan
    http://arxiv.org/abs/2101.09057v1

    • [cs.CV]Dense outlier detection and open-set recognition based on training with noisy negative images
    Petra Bevandić, Ivan Krešo, Marin Oršić, Siniša Šegvić
    http://arxiv.org/abs/2101.09193v1

    • [cs.CV]Expre
    1000
    ssion Recognition Analysis in the Wild
    Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
    http://arxiv.org/abs/2101.09231v1

    • [cs.CV]Generative Replay-based Continual Zero-Shot Learning
    Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
    http://arxiv.org/abs/2101.08894v1

    • [cs.CV]Hessian-Aware Pruning and Optimal Neural Implant
    Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Michael W Mahoney, Kurt Keutzer
    http://arxiv.org/abs/2101.08940v1

    • [cs.CV]Human Interaction Recognition Framework based on Interacting Body Part Attention
    Dong-Gyu Lee, Seong-Whan Lee
    http://arxiv.org/abs/2101.08967v1

    • [cs.CV]Hybrid Rotation Averaging: A Globally Guaranteed Fast and Robust Rotation Averaging Approach
    Yu Chen, Ji Zhao, Laurent Kneip
    http://arxiv.org/abs/2101.09116v1

    • [cs.CV]Iterative Optimisation with an Innovation CNN for Pose Refinement
    Gerard Kennedy, Zheyu Zhuang, Xin Yu, Robert Mahony
    http://arxiv.org/abs/2101.08895v1

    • [cs.CV]Occlusion Handling in Generic Object Detection: A Review
    Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy
    http://arxiv.org/abs/2101.08845v1

    • [cs.CV]Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
    Gongyang Li, Zhi Liu, Ran Shi, Zheng Hu, Weijie Wei, Yong Wu, Mengke Huang, Haibin Ling
    http://arxiv.org/abs/2101.09014v1

    • [cs.CV]Rethinking Domain Generalization Baselines
    Francesco Cappio Borlino, Antonio D’Innocente, Tatiana Tommasi
    http://arxiv.org/abs/2101.09060v1

    • [cs.CV]SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
    Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
    http://arxiv.org/abs/2101.08833v1

    • [cs.CV]Solving the Same-Different Task with Convolutional Neural Networks
    N
    622a
    icola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi
    http://arxiv.org/abs/2101.09129v1

    • [cs.CV]Towards Enhancing Fine-grained Details for Image Matting
    Chang Liu, Henghui Ding, Xudong Jiang
    http://arxiv.org/abs/2101.09095v1

    • [cs.CV]Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
    Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Hong-Gyu Jung, Seong-Whan Lee
    http://arxiv.org/abs/2101.08978v1

    • [cs.CY]“This Whole Thing Smacks of Gender”: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis
    Kendra Albert, Maggie Delano
    http://arxiv.org/abs/2101.08325v2

    • [cs.CY]A Survey of Requirements for COVID-19 Mitigation Strategies. Part II: Elicitation of Requirements
    Wojciech Jamroga
    http://arxiv.org/abs/2101.09241v1

    • [cs.CY]Applications of artificial intelligence in drug development using real-world data
    Zhaoyi Chen, Xiong Liu, William Hogan, Elizabeth Shenkman, Jiang Bian
    http://arxiv.org/abs/2101.08904v1

    • [cs.CY]Brazilian Favela Women: How Your Standard Solutions for Technology Abuse Might Actually Harm Them
    Mirela Silva, Daniela Oliveira
    http://arxiv.org/abs/2101.09257v1

    • [cs.CY]Efficient Data Management for Intelligent Urban Mobility Systems
    Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey
    http://arxiv.org/abs/2101.09261v1

    • [cs.CY]The Internet of Things in Ports: Six Key Security and Governance Challenges for the UK (Policy Brief)
    Feja Lesniewska, Uchenna D Ani, Jeremy M Watson, Madeline Carr
    http://arxiv.org/abs/2101.08812v1

    • [cs.DC]Cloud-Based Content Cooperation System to Assist Collaborative Learning Environment
    Geunsik Lim, Donghwa Lee, Sang-Bum Suh
    http://arxiv.org/abs/2101.08891v1

    • [cs.DC]Distributed Compilation System for High-Speed Software Build Processes
    Geunsik Lim, Minho Lee, R. J. W. E. Lahaye, Young Ik Eom
    http://arxiv.org/abs/2101.08887v1

    • [cs.DC]Efficient MPI-based Communication for GPU-Accelerated Dask Applications
    Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda
    http://arxiv.org/abs/2101.08878v1

    • [cs.HC]LonelyText: A Short Messaging Based Classification of Loneliness
    Mawulolo K. Ameko, Sonia Baee, Laura E. Barnes
    http://arxiv.org/abs/2101.09138v1

    • [cs.HC]My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking
    Luis A. Leiva, Ioannis Arapakis, Costas Iordanou
    http://arxiv.org/abs/2101.09087v1

    • [cs.HC]The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers
    Daniel Buschek, Martin Zürn, Malin Eiband
    http://arxiv.org/abs/2101.09157v1

    • [cs.HC]Understanding Visual Saliency in Mobile User Interfaces
    Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tuğçe Köroğlu, Niraj R. Dayama, Antti Oulasvirta
    http://arxiv.org/abs/2101.09176v1

    • [cs.IR]Impact of Response Latency on User Behaviour in Mobile Web Search
    Ioannis Arapakis, Souneil Park, Martin Pielot
    http://arxiv.org/abs/2101.09086v1

    • [cs.IR]Misplaced trust? The relationship between trust, ability to identify commercially influenced results, and search engine preference
    Sebastian Schultheiß, Dirk Lewandowski
    http://arxiv.org/abs/2101.09159v1

    • [cs.IR]Network Clustering for Multi-task Learning
    Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang
    http://arxiv.org/abs/2101.09018v1

    • [cs.IR]Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
    Lukas Brückner, Ioannis Arapakis, Luis A. Leiva
    http://arxiv.org/abs/2101.09066v1

    • [cs.IR]WIP: Distance Estimation for Contact Tracing — A Measurement Study of BLE and UWB Traces
    Bernhard Etzlinger, Barbara Nußbaummüller, Philipp Peterseil, Karin Anna Hummel
    http://arxiv.org/abs/2101.09075v1

    • [cs.IT]Binary Polar Codes Based on Bit Error Probability
    Jun Muramatsu
    http://arxiv.org/abs/2101.08943v1

    • [cs.IT]CSI-Based Localization with CNNs Exploiting Phase Information
    Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher, Reiner S. Thomä
    http://arxiv.org/abs/2101.08983v1

    • [cs.IT]Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networks
    Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, H. Vincent Poor
    http://arxiv.org/abs/2101.09145v1

    • [cs.IT]Minimizing Age of Incorrect Information for Unreliable Channel with Power Constraint
    Yutao Chen, Anthony Ephremides
    http://arxiv.org/abs/2101.08908v1

    • [cs.IT]Orthogonal subspace based fast iterative thresholding algorithms for joint sparsity recovery
    Ningning Han, Shidong Li, Jian Lu
    http://arxiv.org/abs/2101.09082v1

    • [cs.IT]Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission
    Tianming Feng, Shuo Shi, Shushi Gu, Ning Zhang, Wei Xiang, Xuemai Gu
    http://arxiv.org/abs/2101.08918v1

    • [cs.IT]Predictive Wireless Based Status Update for Communication-Agnostic Sampling
    Zhiyuan Jiang, Wei Zhang, Zixu Cao, Shan Cao, Shunqing Zhang, Shugong Xu
    http://arxiv.org/abs/2101.08976v1

    • [cs.IT]Twisted-Pair Superposition Transmission
    Suihua Cai, Xiao Ma
    http://arxiv.org/abs/2101.08981v1

    • [cs.IT]Unequal Error Protection Achieves Threshold Gains on BEC and BSC via Higher Fidelity Messages
    Beyza Dabak, Ahmed Hareedy, Alexei Ashikhmin, Robert Calderbank
    http://arxiv.org/abs/2101.09238v1

    • [cs.IT]Update-based Maximum Column Distance Coding Scheme for Index Coding Problem
    Arman Sharififar, Neda Aboutorab, Parastoo Sadeghi
    http://arxiv.org/abs/2101.08970v1

    • [cs.LG]A Study of Continuous Vector Representationsfor Theorem Proving
    Stanisław Purgał, Julian Parsert, Cezary Kaliszyk
    http://arxiv.org/abs/2101.09142v1

    • [cs.LG]A shallow neural model for relation prediction
    Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
    http://arxiv.org/abs/2101.09090v1

    • [cs.LG]Adaptive Neighbourhoods for the Discovery of Adversarial Examples
    Jay Morgan, Adeline Paiement, Arno Pauly, Monika Seisenberger
    http://arxiv.org/abs/2101.09108v1

    • [cs.LG]Adversarial Laws of Large Numbers and Optimal Regret in Online Classification
    Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev
    http://arxiv.org/abs/2101.09054v1

    • [cs.LG]Breaking the Deadly Triad with a Target Network
    Shangtong Zhang, Hengshuai Yao, Shimon Whiteson
    http://arxiv.org/abs/2101.08862v1

    • [cs.LG]Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
    Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang
    http://arxiv.org/abs/2101.09225v1

    • [cs.LG]Differentiable Trust Region Layers for Deep Reinforcement Learning
    Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
    http://arxiv.org/abs/2101.09207v1

    • [cs.LG]Graphical Models for Financial Time Series and Portfolio Selection
    Ni Zhan, Yijia Sun, Aman Jakhar, He Liu
    http://arxiv.org/abs/2101.09214v1

    • [cs.LG]Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning
    Dariush Bahrami, Sadegh Pouriyan Zadeh
    http://arxiv.org/abs/2101.09192v1

    • [cs.LG]Knowledge Generation — Variational Bayes on Knowledge Graphs
    Florian Wolf
    http://arxiv.org/abs/2101.08857v1

    • [cs.LG]Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
    Lai Wei, Vaibhav Srivastava
    http://arxiv.org/abs/2101.08980v1

    • [cs.LG]Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
    Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar
    http://arxiv.org/abs/2101.09113v1

    • [cs.LG]Predicting Autism Spectrum Disorder Using Machine Learning Classifiers
    Koushik Chowdhury, Mir Ahmad Iraj
    http://arxiv.org/abs/2101.09279v1

    • [cs.LG]Prior Preference Learning from Experts:Designing a Reward with Active Inference
    Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang
    http://arxiv.org/abs/2101.08937v1

    • [cs.LG]Selfish Sparse RNN Training
    Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
    http://arxiv.org/abs/2101.09048v1

    • [cs.LG]Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
    M. Nazareth da Costa, R. Attux, A. Cichocki, J. M. T. Romano
    http://arxiv.org/abs/2101.09184v1

    • [cs.LG]Time-Correlated Sparsification for Communication-Efficient Federated Learning
    Emre Ozfatura, Kerem Ozfatura, Deniz Gunduz
    http://arxiv.org/abs/2101.08837v1

    • [cs.LG]Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits
    Ni Zhan
    http://arxiv.org/abs/2101.09230v1

    • [cs.MA]Estimating 今日学术视野(2021.1.26) - 图2-Rank by Maximizing Information Gain
    Tabish Rashid, Cheng Zhang, Kamil Ciosek
    http://arxiv.org/abs/2101.09178v1

    • [cs.NE]Approximation capability of two hidden layer feedforward neural networks with fixed weights
    Namig J. Guliyev, Vugar E. Ismailov
    http://arxiv.org/abs/2101.09181v1

    • [cs.RO]Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms
    Benjamin Gravell, Tyler Summers
    http://arxiv.org/abs/2101.08829v1

    • [cs.SD]Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition
    Dennis Pinto, Jose-María Arnau, Antonio González
    http://arxiv.org/abs/2101.09083v1

    • [cs.SE]It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports
    Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, Denys Poshyvanyk
    http://arxiv.org/abs/2101.09194v1

    • [cs.SI]Deepfakes and the 2020 US elections: what (did not) happen
    João Paulo Meneses
    http://arxiv.org/abs/2101.09092v1

    • [cs.SI]Refining Network Alignment to Improve Matched Neighborhood Consistency
    Mark Heimann, Xiyuan Chen, Fatemeh Vahedian, Danai Koutra
    http://arxiv.org/abs/2101.08808v1

    • [eess.IV]A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images
    Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè
    http://arxiv.org/abs/2101.09122v1

    • [eess.IV]Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images
    Tinu Theckel Joy, Suman Sedai, Rahil Garnavi
    http://arxiv.org/abs/2101.08888v1

    • [eess.IV]Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
    V. de Vos, K. M. Timmins, I. C. van der Schaaf, Y. Ruigrok, B. K. Velthuis, H. J. Kuijf
    http://arxiv.org/abs/2101.09253v1

    • [eess.IV]Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net
    Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell
    http://arxiv.org/abs/2101.08993v1

    • [eess.IV]B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction
    Trinh Man Hoang, Jinjia Zhou
    http://arxiv.org/abs/2101.09021v1

    • [eess.IV]Progressive Image Super-Resolution via Neural Differential Equation
    Seobin Park, Tae Hyun Kim
    http://arxiv.org/abs/2101.08987v1

    • [eess.IV]Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images
    Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Weidong Cai
    http://arxiv.org/abs/2101.08910v1

    • [eess.IV]Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization
    Niankai Cheng, Hua Huang, Lei Zhang, Lizhi Wang
    http://arxiv.org/abs/2101.08923v1

    • [eess.SP]Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
    Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos, Kai Xiong, Li Wei, Chau Yuen, Zhaoyang Zhang, Merouane Debbah
    http://arxiv.org/abs/2101.09137v1

    • [eess.SP]Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning
    Forough Yaghoubi, Armin Catovic, Arthur Gusmao, Jan Pieczkowski, Peter Boros
    http://arxiv.org/abs/2101.09143v1

    • [eess.SY]Distributed Receding Horizon Control of Autonomous Convoy with Self-Interested Vehicles
    Hossein B. Jond, Jan Platoš
    http://arxiv.org/abs/2101.08858v1

    • [math.DS]Fourier Series-Based Approximation of Time-Varying Parameters Using the Ensemble Kalman Filter
    Anna Fitzpatrick, Molly Folino, Andrea Arnold
    http://arxiv.org/abs/2101.08872v1

    • [math.OC]E-commerce warehousing: learning a storage policy
    Adrien Rimélé, Philippe Grangier, Michel Gamache, Michel Gendreau, Louis-Martin Rousseau
    http://arxiv.org/abs/2101.08828v1

    • [math.ST]Fixed-Domain Asymptotics Under Vecchia’s Approximation of Spatial Process Likelihoods
    Lu Zhang, Wenpin Tang, Sudipto Banerjee
    http://arxiv.org/abs/2101.08861v1

    • [math.ST]Increasing Cluster Size Asymptotics for Nested Error Regression Models
    Ziyang Lyu, A. H. Welsh
    http://arxiv.org/abs/2101.08951v1

    • [math.ST]On the robustness to adversarial corruption and to heavy-tailed data of the Stahel-Donoho median of means
    Jules Depersin, Guillaume Lecué
    http://arxiv.org/abs/2101.09117v1

    • [math.ST]Representation and Learning of Context-Specific Causal Models with Observational and Interventional Data
    Eliana Duarte, Liam Solus
    http://arxiv.org/abs/2101.09271v1

    • [math.ST]The extended Bregman divergence and parametric estimation
    Sancharee Basak, Ayanendranath Basu
    http://arxiv.org/abs/2101.09183v1

    • [q-bio.QM]Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods
    Florian Rupprecht, Sören Enge, Kornelius Schmidt, Wei Gao, Clemens Kirschbaum, Robert Miller
    http://arxiv.org/abs/2101.08841v1

    • [stat.AP]A heavy-tailed and overdispersed collective risk model
    Pamela M. Chiroque-Solano, Fernando A. S. Moura
    http://arxiv.org/abs/2101.09022v1

    • [stat.ME]Bayesian hierarchical stacking
    Yuling Yao, Gregor Pirš, Aki Vehtari, Andrew Gelman
    http://arxiv.org/abs/2101.08954v1

    • [stat.ME]Flexible estimation of the state dwell-time distribution in hidden semi-Markov models
    Jennifer Pohle, Timo Adam, Larissa T. Beumer
    http://arxiv.org/abs/2101.09197v1

    • [stat.ME]New randomized response technique for estimating the population total of a quantitative variable
    Jaromir Antoch, Francesco Mola, Ondrej Vozar
    http://arxiv.org/abs/2101.09053v1

    • [stat.ME]Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
    Matteo Pegoraro, Mario Beraha
    http://arxiv.org/abs/2101.09039v1

    • [stat.ME]RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data
    Erica Ponzi, Magne Thoresen, Abhik Ghosh
    http://arxiv.org/abs/2101.09110v1

    • [stat.ME]Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
    Devin Caughey, Allan Dafoe, Xinran Li, Luke Miratrix
    http://arxiv.org/abs/2101.09195v1

    • [stat.ME]Semi-parametric estimation of biomarker age trends with endogenous medication use in longitudinal data
    Andrew J. Spieker, Joseph A. C. Delaney, Robyn L. McClelland
    http://arxiv.org/abs/2101.09233v1

    • [stat.ME]Stochastic Modeling of an Infectious Disease Part III-A: Analysis of Time-Nonhomogeneous Models
    Hisashi Kobayashi
    http://arxiv.org/abs/2101.09109v1

    • [stat.ML]Differentially Private SGD with Non-Smooth Loss
    Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang
    http://arxiv.org/abs/2101.08925v1

    • [stat.ML]Linear Regression with Distributed Learning: A Generalization Error Perspective
    Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
    http://arxiv.org/abs/2101.09001v1

    • [stat.ML]On Maximum Likelihood Training of Score-Based Generative Models
    Conor Durkan, Yang Song
    http://arxiv.org/abs/2101.09258v1

    • [stat.ML]SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
    Anshoo Tandon, Aldric H. J. Yuan, Vincent Y. F. Tan
    http://arxiv.org/abs/2101.08917v1

    • [stat.ML]Sparsistent filtering of comovement networks from high-dimensional data
    Arnab Chakrabarti, Anindya S. Chakrabarti
    http://arxiv.org/abs/2101.09174v1

    • [stat.ML]Will Artificial Intelligence supersede Earth System and Climate Models?
    Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner
    http://arxiv.org/abs/2101.09126v1