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.DB - 数据库 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.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.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.NC - 神经元与认知 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

    • [cs.AI]An Information-theoretic Progressive Framework for Interpretation
    • [cs.AI]Artificial Intelligence enabled Smart Learning
    • [cs.AI]Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2
    • [cs.AI]Neural Storage: A New Paradigm of Elastic Memory
    • [cs.CL]A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph
    • [cs.CL]Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance
    • [cs.CR]Observations on the Bias of Nonnegative Mechanisms for Differential Privacy
    • [cs.CR]SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning
    • [cs.CR]Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents
    • [cs.CV]Combining pretrained CNN feature extractors to enhance clustering of complex natural images
    • [cs.CV]Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
    • [cs.CV]From Black-box to White-box: Examining Confidence Calibration under different Conditions
    • [cs.CV]HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
    • [cs.CV]Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
    • [cs.CV]InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
    • [cs.CV]Learning Grammar of Complex Activities via Deep Neural Networks
    • [cs.CV]Octave Mix: Data augmentation using frequency decomposition for activity recognition
    • [cs.CV]Off-Line Arabic Handwritten Words Segmentation using Morphological Operators
    • [cs.CV]One-Class Classification: A Survey
    • [cs.CV]Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction
    • [cs.CV]Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification
    • [cs.CV]Residual networks classify inputs based on their neural transient dynamics
    • [cs.CV]VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
    • [cs.CY]Group Fairness: Independence Revisited
    • [cs.CY]News Information Decoupling: An Information Signature of Catastrophes in Legacy News Media
    • [cs.DB]Approximate Query Processing for Group-By Queries based on Conditional Generative Models
    • [cs.DL]The role of scientific output in public debates in times of crisis: A case study of the reopening of schools during the COVID-19 pandemic
    • [cs.IR]Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy
    • [cs.IR]Dynamic Graph Collaborative Filtering
    • [cs.IR]Spatial Object Recommendation with Hints: When Spatial Granularity Matters
    • [cs.IT]Bit Error Rate Analysis for Reconfigurable Intelligent Surfaces with Phase Errors
    • [cs.IT]Design of Full-Duplex Millimeter-Wave Integrated Access and Backhaul Networks
    • [cs.IT]How type of Convexity of the Core function affects the Csiszár 今日学术视野(2021.1.12) - 图1-divergence functional
    • [cs.IT]Joint Beamforming and Reflecting Design in Reconfigurable Intelligent Surface-Aided Multi-User Communication Systems
    • [cs.IT]Spatial-spectral Terahertz Networks
    • [cs.IT]Towards High Data-Rate Diffusive Molecular Communications: Performance Enhancement Strategies
    • [cs.LG]A Novel Regression Loss for Non-Parametric Uncertainty Optimization
    • [cs.LG]A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness
    • [cs.LG]ADiag: Graph Neural Network Based Diagnosis of Alzheimer’s Disease
    • [cs.LG]Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
    • [cs.LG]Approaching Neural Network Uncertainty Realism
    • [cs.LG]Average-Reward Off-Policy Policy Evaluation with Function Approximation
    • [cs.LG]BN-invariant sharpness regularizes the training model to better generalization
    • [cs.LG]Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
    • [cs.LG]Infinite-dimensional Folded-in-time Deep Neural Networks
    • [cs.LG]NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
    • [cs.LG]On the Turnpike to Design of Deep Neural Nets: Explicit Depth Bounds
    • [cs.LG]Sequential Naive Learning
    • [cs.LG]Towards Accelerating Training of Batch Normalization: A Manifold Perspective
    • [cs.LG]Towards a Robust and Trustworthy Machine Learning System Development
    • [cs.LG]Unsupervised Domain Adaptation of Black-Box Source Models
    • [cs.NE]Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
    • [cs.NE]When does the Physarum Solver Distinguish the Shortest Path from other Paths: the Transition Point and its Applications
    • [cs.RO]A general framework for modeling and dynamic simulation of multibody systems using factor graphs
    • [cs.RO]Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs?
    • [cs.RO]Geometry Aware NMPC Scheme for Morphing Quadrotor Navigation in Restricted Entrances
    • [cs.RO]Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
    • [cs.RO]Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks
    • [cs.RO]Practical Control for Multicopters to Avoid Non-Cooperative Moving Obstacles
    • [cs.RO]The Distracting Control Suite — A Challenging Benchmark for Reinforcement Learning from Pixels
    • [cs.SI]Graph embeddings for Abusive Language Detection
    • [cs.SI]Layer reconstruction and missing link prediction of multilayer network with Maximum A Posteriori estimation
    • [cs.SI]Studying Leaders During Times of Crisis Using Online Social Media — A COVID Case Study
    • [cs.SI]Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
    • [eess.IV]A review for Tone-mapping Operators on Wide Dynamic Range Image
    • [eess.IV]Deep Convolutional Neural Network based Classification of Alzheimer’s Disease using MRI data
    • [eess.IV]Knowledge AI: New Medical AI Solution for Medical image Diagnosis
    • [eess.IV]Learning Guided Electron Microscopy with Active Acquisition
    • [eess.IV]Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
    • [eess.IV]Predicting Semen Motility using three-dimensional Convolutional Neural Networks
    • [eess.IV]Single Image Super-Resolution
    • [eess.SP]Learning Low-Correlation GPS Spreadin
    673
    g Codes with a Policy Gradient Algorithm
    • [eess.SY]Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing
    • [math.OC]Heteroscedasticity-aware residuals-based contextual stochastic optimization
    • [math.OC]Optimization Models for Integrated Biorefinery Operations
    • [math.OC]The Computation of Approximate Generalized Feedback Nash Equilibria
    • [math.OC]The Nonconvex Geometry of Linear Inverse Problems
    • [math.ST]Asymptotically optimal inference in sparse sequence models with a simple data-dependent measure
    • [math.ST]Differentially private depth functions and their associated medians
    • [physics.comp-ph]SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
    • [physics.comp-ph]Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
    • [physics.soc-ph]More Tolerant Reconstructed Networks by Self-Healing against Attacks in Saving Resource
    • [q-bio.MN]Maximizing Information Gain for the Characterization of Biomolecular Circuits
    • [q-bio.NC]Slow manifolds in recurrent networks encode working memory efficiently and robustly
    • [q-fin.ST]Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks
    • [quant-ph]Quantum Earth Mover’s Distance: A New Approach to Learning Quantum Data
    • [stat.AP]Infections Forecasting and Intervention Effect Evaluation for COVID-19 via a Data-Driven Markov Process and Heterogeneous Simulation
    • [stat.AP]Monitoring the COVID-19 epidemic with nationwide telecommunication data
    • [stat.AP]Simultaneous inference of periods and period-luminosity relations for Mira variable stars
    • [stat.CO]Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models
    • [stat.ME]A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation
    • [stat.ME]Ensemble approximate control variate estimators: Applications to multi-fidelity importance sampling
    • [stat.ME]Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances
    • [stat.ML]Differentially Private Federated Learning for Cancer Prediction
    • [stat.ML]Learning non-Gaussian graphical models via Hessian scores and triangular transport

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    • [cs.AI]An Information-theoretic Progressive Framework for Interpretation
    Zhengqi He, Taro Toyoizumi
    http://arxiv.org/abs/2101.02879v1

    • [cs.AI]Artificial Intelligence enabled Smart Learning
    Faisal Khan, Debdeep Bose
    http://arxiv.org/abs/2101.02991v1

    • [cs.AI]Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2
    Iknoor Singh, Carolina Scarton, Kalina Bontcheva
    http://arxiv.org/abs/2101.03013v1

    • [cs.AI]Neural Storage: A New Paradigm of Elastic Memory
    Prabuddha Chakraborty, Swarup Bhunia
    http://arxiv.org/abs/2101.02729v1

    • [cs.CL]A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph
    Mohannad AlMousa, Rachid Benlamri, Richard Khoury
    http://arxiv.org/abs/2101.02875v1

    • [cs.CL]Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance
    Anwar Alnawas, Nursal ARICI
    http://arxiv.org/abs/2101.02906v1

    • [cs.CR]Observations on the Bias of Nonnegative Mechanisms for Differential Privacy
    Aisling Mc Glinchey, Oliver Mason
    http://arxiv.org/abs/2101.02957v1

    • [cs.CR]SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning
    Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha
    http://arxiv.org/abs/2101.02780v1

    • [cs.CR]Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents
    Laszlo Erdodi, Åvald Åslaugson Sommervoll, Fabio Massimo Zennaro
    http://arxiv.org/abs/2101.03118v1

    • [cs.CV]Combining pretrained CNN feature extractors to enhance clustering of complex natural images
    Joris Guerin, Stephane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots
    http://arxiv.org/abs/2101.02767v1

    • [cs.CV]Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
    Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Pai Peng, Xiaowei Guo, Xing Sun
    http://arxiv.org/abs/2101.03036v1

    • [cs.CV]From Black-box to White-box: Examining Confidence Calibration under different Conditions
    Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff
    http://arxiv.org/abs/2101.02971v1

    • [cs.CV]HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images
    Zhimin Yuan, Xiaofen Ma, Jiajin Yi, Zhengrong Luo, Jialin Peng
    http://arxiv.org/abs/2101.02877v1

    • [cs.CV]Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
    Antonia Stern, Lalith Sharan, Gabriele Romano, Sven Koehler, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt
    http://arxiv.org/abs/2101.02737v1

    • [cs.CV]InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
    Yaohui Wang, Francois Bremond, Antitza Dantcheva
    http://arxiv.org/abs/2101.03049v1

    • [cs.CV]Learning Grammar of Complex Activities via Deep Neural Networks
    Becky Mashaido
    http://arxiv.org/abs/2101.02774v1

    • [cs.CV]Octave Mix: Data augmentation using frequency decomposition for activity recognition
    Tatsuhito Hasegawa
    http://arxiv.org/abs/2101.02882v1

    • [cs.CV]Off-Line Arabic Handwritten Words Segmentation using Morphological Operators
    Nisreen AbdAllah, Serestina Viriri
    http://arxiv.org/abs/2101.02797v1

    • [cs.CV]One-Class Classification: A Survey
    Pramuditha Perera, Poojan Oza, Vishal M. Patel
    http://arxiv.org/abs/2101.03064v1

    • [cs.CV]Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction
    Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe
    http://arxiv.org/abs/2101.02843v1

    • [cs.CV]Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification
    Fanjie Kong, Xiao-yang Liu, Ricardo Henao
    http://arxiv.org/abs/2101.03154v1

    • [cs.CV]Residual networks classify inputs based on their neural transient dynamics
    Fereshteh Lagzi
    http://arxiv.org/abs/2101.03009v1

    • [cs.CV]VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
    Ruohan Gao, Kristen Grauman
    http://arxiv.org/abs/2101.03149v1

    • [cs.CY]Group Fairness: Independence Revisited
    Tim Räz
    http://arxiv.org/abs/2101.02968v1

    • [cs.CY]News Information Decoupling: An Information Signature of Catastrophes in Legacy News Media
    Kristoffer L. Nielbo, Rebekah B. Baglini, Peter B. Vahlstrup, Kenneth C. Enevoldsen, Anja Bechmann, Andreas Roepstorff
    http://arxiv.org/abs/2101.02956v1

    • [cs.DB]Approximate Query Processing for Group-By Queries based on Conditional Generative Models
    Meifan Zhang, Hongzhi Wang
    http://arxiv.org/abs/2101.02914v1

    • [cs.DL]The role of scientific output in public debates in times of crisis: A case study of the reopening of schools during the COVID-19 pandemic
    Gabriela F. Nane, François van Schalkwyk, Jonathan Dudek, Daniel Torres-Salinas, Rodrigo Costas, Nicolas Robinson-Garcia
    http://arxiv.org/abs/2101.03069v1

    • [cs.IR]Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy
    Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur
    http://arxiv.org/abs/2101.03054v1

    • [cs.IR]Dynamic Graph Collaborative Filtering
    Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
    http://arxiv.org/abs/2101.02844v1

    • [cs.IR]Spatial Object Recommendation with Hints: When Spatial Granularity Matters
    Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
    http://arxiv.org/abs/2101.02969v1

    • [cs.IT]Bit Error Rate Analysis for Reconfigurable Intelligent Surfaces with Phase Errors
    Iméne Trigui, Edouard Komi Agbogla, Mustapha Benjillali, Wessam Ajib, Wei-Ping Zhu
    http://arxiv.org/abs/2101.03162v1

    • [cs.IT]Design of Full-Duplex Millimeter-Wave Integrated Access and Backhaul Networks
    Junkai Zhang, Navneet Garg, Mark Holm, Tharmalingam Ratnarajah
    http://arxiv.org/abs/2101.02819v1

    • [cs.IT]How type of Convexity of the Core function affects the Csiszár 今日学术视野(2021.1.12) - 图2-divergence functional
    Mohsen Kian
    http://arxiv.org/abs/2101.02934v1

    • [cs.IT]Joint Beamforming and Reflecting Design in Reconfigurable Intelligent Surface-Aided Multi-User Communication Systems
    Xiaoyan Ma, Shuaishuai Guo, Haixia Zhang, Yuguang Fang, Dongfeng Yuan
    http://arxiv.org/abs/2101.02904v1

    • [cs.IT]Spatial-spectral Terahertz Networks
    Zheng Lin, Lifeng Wang, Bo Tan, Xiang Li
    http://arxiv.org/abs/2101.02868v1

    • [cs.IT]Towards High Data-Rate Diffusive Molecular Communications: Performance Enhancement Strategies
    Mustafa Can Gursoy, Masoumeh Nasiri-Kenari, Urbashi Mitra
    http://arxiv.org/abs/2101.02869v1

    • [cs.LG]A Novel Regression Loss for Non-Parametric Uncertainty Optimization
    Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel
    http://arxiv.org/abs/2101.02726v1

    • [cs.LG]A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness
    Becky Mashaido, Winston Moh Tangongho
    http://arxiv.org/abs/2101.02831v1

    • [cs.LG]ADiag: Graph Neural Network Based Diagnosis of Alzheimer’s Disease
    Vishnu Ram Sampathkumar
    http://arxiv.org/abs/2101.02870v1

    • [cs.LG]Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
    Marissa Dotter, Sherry Xie, Keith Manville, Josh Harguess, Colin Busho, Mikel Rodriguez
    http://arxiv.org/abs/2101.02899v1

    • [cs.LG]Approaching Neural Network Uncertainty Realism
    Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz
    http://arxiv.org/abs/2101.02974v1

    • [cs.LG]Average-Reward Off-Policy Policy Evaluation with Function Approximation
    Shangtong Zhang, Yi Wan, Richard S. Sutton, Shimon Whiteson
    http://arxiv.org/abs/2101.02808v1

    • [cs.LG]BN-invariant sharpness regularizes the training model to better generalization
    Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
    http://arxiv.org/abs/2101.02944v1

    • [cs.LG]Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
    Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
    http://arxiv.org/abs/2101.02860v1

    • [cs.LG]Infinite-dimensional Folded-in-time Deep Neural Networks
    Florian Stelzer, Serhiy Yanchuk
    http://arxiv.org/abs/2101.02966v1

    • [cs.LG]NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
    Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan
    http://arxiv.org/abs/2101.02908v1

    • [cs.LG]On the Turnpike to Design of Deep Neural Nets: Explicit Depth Bounds
    Timm Faulwasser, Arne-Jens Hempel, Stefan Streif
    http://arxiv.org/abs/2101.03000v1

    • [cs.LG]Sequential Naive Learning
    Itai Arieli, Yakov Babichenko, Manuel Mueller-Frank
    http://arxiv.org/abs/2101.02897v1

    • [cs.LG]Towards Accelerating Training of Batch Normalization: A Manifold Perspective
    Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma
    http://arxiv.org/abs/2101.02916v1

    • [cs.LG]Towards a Robust and Trustworthy Machine Learning System Development
    Pulei Xiong, Scott Buffett, Shahrear Iqbal, Philippe Lamontagne, Mohammad Mamun, Heather Molyneaux
    http://arxiv.org/abs/2101.03042v1

    • [cs.LG]Unsupervised Domain Adaptation of Black-Box Source Models
    Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang
    http://arxiv.org/abs/2101.02839v1

    • [cs.NE]Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
    Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan
    http://arxiv.org/abs/2101.02932v1

    • [cs.NE]When does the Physarum Solver Distinguish the Shortest Path from other Paths: the Transition Point and its Applications
    Yusheng Huang, Dong Chu, Joel Weijia Lai, Yong Deng, Kang Hao Cheong
    http://arxiv.org/abs/2101.02913v1

    • [cs.RO]A general framework for modeling and dynamic simulation of multibody systems using factor graphs
    José-Luis Blanco-Claraco, Antonio Leanza, Giulio Reina
    http://arxiv.org/abs/2101.02874v1

    • [cs.RO]Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs?
    Laura Petrich, Jun Jin, Masood Dehghan, Martin Jagersand
    http://arxiv.org/abs/2101.02750v1

    • [cs.RO]Geometry Aware NMPC Scheme for Morphing Quadrotor Navigation in Restricted Entrances
    Andreas Papadimitriou, Sina Sharif Mansouri, Christoforos Kanellakis, George Nikolakopoulos
    http://arxiv.org/abs/2101.02965v1

    • [cs.RO]Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
    Takuma Yoneda, Charles Schaff, Takahiro Maeda, Matthew Walter
    http://arxiv.org/abs/2101.02842v1

    • [cs.RO]Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks
    Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, Jeannette Bohg
    http://arxiv.org/abs/2101.02725v1

    • [cs.RO]Practical Control for Multicopters to Avoid Non-Cooperative Moving Obstacles
    Quan Quan, Rao Fu, Kai-Yuan Cai
    http://arxiv.org/abs/2101.02889v1

    • [cs.RO]The Distracting Control Suite — A Challenging Benchmark for Reinforcement Learning from Pixels
    Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski
    http://arxiv.org/abs/2101.02722v1

    • [cs.SI]Graph embeddings for Abusive Language Detection
    Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linares
    http://arxiv.org/abs/2101.02988v1

    • [cs.SI]Layer reconstruction and missing link prediction of multilayer network with Maximum A Posteriori estimation
    Junyao Kuang, Caterina Scoglio
    http://arxiv.org/abs/2101.02733v1

    • [cs.SI]Studying Leaders During Times of Crisis Using Online Social Media — A COVID Case Study
    Rahul Goel, Rajesh Sharma
    http://arxiv.org/abs/2101.03002v1

    • [cs.SI]Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings
    Benedek Rozemberczki, Rik Sarkar
    http://arxiv.org/abs/2101.03091v1

    • [eess.IV]A review for Tone-mapping Operators on Wide Dynamic Range Image
    Ziyi Liu
    http://arxiv.org/abs/2101.03003v1

    • [eess.IV]Deep Convolutional Neural Network based Classification of Alzheimer’s Disease using MRI data
    Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat, Javid Iqbal, Ulas Bagci, Muhammad Majid
    http://arxiv.org/abs/2101.02876v1

    • [eess.IV]Knowledge AI: New Medical AI Solution for Medical image Diagnosis
    Yingni Wang, Shuge Lei, Jian Dai, Kehong Yuan
    http://arxiv.org/abs/2101.03063v1

    • [eess.IV]Learning Guided Electron Microscopy with Active Acquisition
    Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
    http://arxiv.org/abs/2101.02746v1

    • [eess.IV]Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
    Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu
    http://arxiv.org/abs/2101.02824v1

    • [eess.IV]Predicting Semen Motility using three-dimensional Convolutional Neural Networks
    Priyansi, Biswaroop Bhattacharjee, Junaid Rahim
    http://arxiv.org/abs/2101.02888v1

    • [eess.IV]Single Image Super-Resolution
    Baran Ataman, Mert Seker, David Mckee
    http://arxiv.org/abs/2101.02802v1

    • [eess.SP]Learning Low-Correlation GPS Spreadin
    673
    g Codes with a Policy Gradient Algorithm
    Tara Yasmin Mina, Grace Xingxin Gao
    http://arxiv.org/abs/2101.02850v1

    • [eess.SY]Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing
    Xintao Yan, Shuo Feng, Haowei Sun, Henry X. Liu
    http://arxiv.org/abs/2101.02828v1

    • [math.OC]Heteroscedasticity-aware residuals-based contextual stochastic optimization
    Rohit Kannan, Güzin Bayraksan, James Luedtke
    http://arxiv.org/abs/2101.03139v1

    • [math.OC]Optimization Models for Integrated Biorefinery Operations
    Berkay Gulcan, Sandra D. Eksioglu, Yongjia Song, Mohammad Roni, Qiushi Chen
    http://arxiv.org/abs/2101.03098v1

    • [math.OC]The Computation of Approximate Generalized Feedback Nash Equilibria
    Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire Tomlin
    http://arxiv.org/abs/2101.02900v1

    • [math.OC]The Nonconvex Geometry of Linear Inverse Problems
    Armin Eftekhari, Peyman Mohajerin Esfahani
    http://arxiv.org/abs/2101.02776v1

    • [math.ST]Asymptotically optimal inference in sparse sequence models with a simple data-dependent measure
    Ryan Martin
    http://arxiv.org/abs/2101.02983v1

    • [math.ST]Differentially private depth functions and their associated medians
    Kelly Ramsay, Shoja’eddin Chenouri
    http://arxiv.org/abs/2101.02800v1

    • [physics.comp-ph]SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
    Simon Batzner, Tess E. Smidt, Lixin Sun, Jonathan P. Mailoa, Mordechai Kornbluth, Nicola Molinari, Boris Kozinsky
    http://arxiv.org/abs/2101.03164v1

    • [physics.comp-ph]Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
    Zun Wang, Chong Wang, Sibo Zhao, Shiqiao Du, Yong Xu, Bing-Lin Gu, Wenhui Duan
    http://arxiv.org/abs/2101.02930v1

    • [physics.soc-ph]More Tolerant Reconstructed Networks by Self-Healing against Attacks in Saving Resource
    Yukio Hayashi, Atsushi Tanaka, Jun Matsukubo
    http://arxiv.org/abs/2101.02814v1

    • [q-bio.MN]Maximizing Information Gain for the Characterization of Biomolecular Circuits
    Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl
    http://arxiv.org/abs/2101.02924v1

    • [q-bio.NC]Slow manifolds in recurrent networks encode working memory efficiently and robustly
    Elham Ghazizadeh, ShiNung Ching
    http://arxiv.org/abs/2101.03163v1

    • [q-fin.ST]Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks
    Racine Ly, Fousseini Traore, Khadim Dia
    http://arxiv.org/abs/2101.03087v1

    • [quant-ph]Quantum Earth Mover’s Distance: A New Approach to Learning Quantum Data
    Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth Lloyd
    http://arxiv.org/abs/2101.03037v1

    • [stat.AP]Infections Forecasting and Intervention Effect Evaluation for COVID-19 via a Data-Driven Markov Process and Heterogeneous Simulation
    Quan-Lin Li, Chengliang Wang, Yiming Xu, Chi Zhang, Yanxia Chang, Xiaole Wu, Zhen-Ping Fan, Zhi-Guo Liu
    http://arxiv.org/abs/2101.03133v1

    • [stat.AP]Monitoring the COVID-19 epidemic with nationwide telecommunication data
    Joel Persson, Jurriaan F. Parie, Stefan Feuerriegel
    http://arxiv.org/abs/2101.02521v2

    • [stat.AP]Simultaneous inference of periods and period-luminosity relations for Mira variable stars
    Shiyuan He, Zhenfeng Lin, Wenlong Yuan, Lucas M. Macri, Jianhua Z. Huang
    http://arxiv.org/abs/2101.02938v1

    • [stat.CO]Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models
    Jacob Vorstrup Goldman, Sumeetpal Sidhu Singh
    http://arxiv.org/abs/2101.03079v1

    • [stat.ME]A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation
    Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis
    http://arxiv.org/abs/2101.02931v1

    • [stat.ME]Ensemble approximate control variate estimators: Applications to multi-fidelity importance sampling
    Trung Pham, Alex A. Gorodetsky
    http://arxiv.org/abs/2101.02786v1

    • [stat.ME]Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances
    David Ginsbourger, Cedric Schärer
    http://arxiv.org/abs/2101.03108v1

    • [stat.ML]Differentially Private Federated Learning for Cancer Prediction
    Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel
    http://arxiv.org/abs/2101.02997v1

    • [stat.ML]Learning non-Gaussian graphical models via Hessian scores and triangular transport
    Ricardo Baptista, Youssef Marzouk, Rebecca E. Morrison, Olivier Zahm
    http://arxiv.org/abs/2101.03093v1