归档 - 今日学术视野(2021.2.2) - 《爱可可老师分享》

astro-ph.IM - 仪器仪表和天体物理学方法 astro-ph.SR - 太阳和天体物理学恒星 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.ET - 新兴技术 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.RO - 机器人学 cs.SE - 软件工程 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.AT - 代数拓扑 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [astro-ph.IM]A Fast Template Periodogram for Detecting Non-sinusoidal Fixed-shape Signals in Irregularly Sampled Time Series
• [astro-ph.IM]Morphological components analysis for circumstellar disks imaging
• [astro-ph.SR]Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification
• [cs.AI]Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
• [cs.AI]Optimizing $今日学术视野(2021.2.2) - 图1$
• [cs.CL]CD2CR: Co-reference Resolution Across Documents and Domains
• [cs.CL]Combining pre-trained language models and structured knowledge
• [cs.CL]Does injecting linguistic structure into language models lead to better alignment with brain recordings?
• [cs.CL]Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning
• [cs.CL]NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network
• [cs.CL]Synthesizing Monolingual Data for Neural Machine Translation
• [cs.CL]Transition based Graph Decoder for Neural Machine Translation
• [cs.CR]N-grams Bayesian Differential Privacy
• [cs.CR]State of the Art: Content-based and Hybrid Phishing Detection
• [cs.CV]Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
• [cs.CV]D3DLO: Deep 3D LiDAR Odometry
• [cs.CV]Deep Triplet Hashing Network for Case-based Medical Image Retrieval
• [cs.CV]Efficient-CapsNet: Capsule Network with Self-Attention Routing
• [cs.CV]Few-Shot Learning for Road Object Detection
• [cs.CV]Gaining Scale Invariance in UAV Bird’s Eye View Object Detection by Adaptive Resizing
• [cs.CV]General-Purpose OCR Paragraph Identification by Graph Convolution Networks
• [cs.CV]Leveraging domain labels for object detection from UAVs
• [cs.CV]Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans
• [cs.CV]NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
• [cs.CV]Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity
• [cs.CV]Open World Compositional Zero-Shot Learning
• [cs.CV]Polynomial Trajectory Predictions for Improved Learning Performance
• [cs.CV]Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
• [cs.CV]Re Learning Memory Guided Normality for Anomaly Detection
• [cs.CV]Self-Supervised Representation Learning for RGB-D Salient Object Detection
• [cs.CV]Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
• [cs.CV]Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
• [cs.CV]The Mind’s Eye: Visualizing Class-Agnostic Features of CNNs
• [cs.CV]Towards Generalising Neural Implicit Representations
• [cs.CY]Canvas Adoption Assessment and Acceptance of the Learning Management System on a Web-Based Platform
• [cs.CY]Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques
• [cs.CY]Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
• [cs.CY]Epistemic values in feature importance methods: Lessons from feminist epistemology
• [cs.CY]Machine Translation, Sentiment Analysis, Text Similarity, Topic Modelling, and Tweets: Understanding Social Media Usage Among Police and Gendarmerie Organizations
• [cs.CY]Time for AI (Ethics) Maturity Model Is Now
• [cs.DC]A Pub-Sub Architecture to Promote Blockchain Interoperability
• [cs.DC]Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent
• [cs.DC]Self-stabilizing Algorithm for Maximal Distance-2 Independent Set
• [cs.ET]Reservoir Computing with Thin-film Ferromagnetic Devices
• [cs.GT]Sequential Mechanisms for Multi-type Resource Allocation
• [cs.IR]A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
• [cs.IR]A Graph-based Relevance Matching Model for Ad-hoc Retrieval
• [cs.IR]Fairness for Whom? Understanding the Reader’s Perception of Fairness in Text Summarization
• [cs.IR]Graph Embedding for Recommendation against Attribute Inference Attacks
• [cs.IR]Out-of-Town Recommendation with Travel Intention Modeling
• [cs.IR]RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
• [cs.IT]An Automated Theorem Proving Framework for Information-Theoretic Results
• [cs.IT]An Information Bottleneck Problem with Rényi’s Entropy
• [cs.IT]Channel Measurement and Ray-Tracing-Statistical Hybrid Modeling for Low-Terahertz Indoor Communications
• [cs.IT]Combinatorial Quantitative Group Testing with Adversarially Perturbed Measurements
• [cs.IT]DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition with Vandermonde Factor Matrix
• [cs.IT]Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
• [cs.IT]On $今日学术视野(2021.2.2) - 图2$ -divergences between Cauchy distributions
• [cs.IT]On the weight distribution of the cosets of MDS codes
• [cs.IT]Secure Visible Light Communications via Intelligent Reflecting Surfaces
• [cs.IT]Topological Interference Management with Adversarial Perturbation
• [cs.IT]Zero-Error Communication over Adversarial MACs
• [cs.LG]AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
• [cs.LG]Adversarial Learning with Cost-Sensitive Classes
• [cs.LG]An adaptive artificial neural network-based generative design method for layout designs
• [cs.LG]Beyond traditional assumptions in fair machine learning
• [cs.LG]BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
• [cs.LG]Challenges for Using Impact Regularizers to Avoid Negative Side Effects
• [cs.LG]Differential Privacy Meets Federated Learning under Communication Constraints
• [cs.LG]DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network
• [cs.LG]Dopamine: Differentially Private Federated Learning on Medical Data
• [cs.LG]Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
• [cs.LG]Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks
• [cs.LG]Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs
• [cs.LG]Learning User Preferences in Non-Stationary Environments
• [cs.LG]No-Regret Caching via Online Mirror Descent
• [cs.LG]On the capacity of deep generative networks for approximating distributions
• [cs.LG]Optimal strategies for reject option classifiers
• [cs.LG]Predicting Nanorobot Shapes via Generative Models
• [cs.LG]Revisiting Non-Specific Syndromic Surveillance
• [cs.LG]Subgraph nomination: Query by Example Subgraph Retrieval in Networks
• [cs.LG]The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection
• [cs.LG]Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP
• [cs.LO]Inductive Synthesis for Probabilistic Programs Reaches New Horizons
• [cs.RO]A note on synthesizing geodesic based contact curves
• [cs.RO]Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
• [cs.RO]Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
• [cs.RO]Hybrid leg compliance enables robots to operate with sensorimotor delays and low control update frequencies
• [cs.RO]Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight
• [cs.RO]Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping
• [cs.RO]Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
• [cs.RO]Teaching Turn-Taking Skills to Children with Autism using a Parrot-Like Robot
• [cs.RO]The Analysis of Discrete-Event System in Autonomous Package Delivery using Legged Robot and Conveyor Belt
• [cs.RO]Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
• [cs.SE]Résumé-Driven Development: A Definition and Empirical Characterization
• [econ.EM]Gaussian Process Latent Class Choice Models
• [eess.AS]BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
• [eess.AS]Speech Enhancement for Wake-Up-Word detection in Voice Assistants
• [eess.IV]A Petri Dish for Histopathology Image Analysis
• [eess.IV]Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease
• [eess.IV]Reliable COVID-19 Detection Using Chest X-ray Images
• [eess.IV]Robust Representation Learning with Feedback for Single Image Deraining
• [eess.SY]Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems
• [math.AT]From Geometry to Topology: Inverse Theorems for Distributed Persistence
• [math.OC]Between steps: Intermediate relaxations between big-M and convex hull formulations
• [math.PR]Stochastic block model entropy and broadcasting on trees with survey
• [math.ST]A new class of tail dependence measures and their maximization
• [math.ST]Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models
• [physics.soc-ph]Strong coupling between scales in a multi-scalar model of urban dynamics
• [q-fin.ST]Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques
• [quant-ph]Theory of Communication Efficient Quantum Secret Sharing
• [stat.AP]A Bayesian Model of Cash Bail Decisions
• [stat.AP]A Study on the Association between Maternal Childhood Trauma Exposure and Placental-fetal Stress Physiology during Pregnancy
• [stat.AP]How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action
• [stat.AP]Semiparametric point process modelling of blinking artifacts in PALM
• [stat.AP]The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
• [stat.ME]A Practical Two-Sample Test for Weighted Random Graphs
• [stat.ME]A principle feature analysis
• [stat.ME]Adaptive Inference for Change Points in High-Dimensional Data
• [stat.ME]Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules
• [stat.ME]Experimentation for Homogenous Policy Change
• [stat.ME]Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the State of Qatar
• [stat.ME]Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
• [stat.ME]Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule
• [stat.ME]Regularizing Double Machine Learning in Partially Linear Endogenous Models
• [stat.ME]Tree-based Node Aggregation in Sparse Graphical Models
• [stat.ML]A Survey of Complex-Valued Neural Networks
• [stat.ML]Covariance Prediction via Convex Optimization
• [stat.ML]Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
• [stat.ML]Low Rank Forecasting
• [stat.ML]Optimal Approximation Rates and Metric Entropy of ReLU $今日学术视野(2021.2.2) - 图3$ and Cosine Networks
• [stat.ML]Total Stability of SVMs and Localized SVMs

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• [astro-ph.IM]A Fast Template Periodogram for Detecting Non-sinusoidal Fixed-shape Signals in Irregularly Sampled Time Series
John Hoffman, Jacob Vanderplas, Joel Hartman, Gaspar Bakos
http://arxiv.org/abs/2101.12348v1

• [astro-ph.IM]Morphological components analysis for circumstellar disks imaging
Benoît Pairet, Faustine Cantalloube, Laurent Jacques
http://arxiv.org/abs/2101.12706v1

• [astro-ph.SR]Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification
Vlad Landa, Yuval Reuveni
http://arxiv.org/abs/2101.12550v1

• [cs.AI]Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong
http://arxiv.org/abs/2101.12446v1

• [cs.AI]Optimizing $今日学术视野(2021.2.2) - 图4$
Tristan Cazenave, Swann Legras, Véronique Ventos
http://arxiv.org/abs/2101.12639v1

• [cs.CL]CD2CR: Co-reference Resolution Across Documents and Domains
James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata
http://arxiv.org/abs/2101.12637v1

• [cs.CL]Combining pre-trained language models and structured knowledge
Pedro Colon-Hernandez, Catherine Havasi, Jason Alonso, Matthew Huggins, Cynthia Breazeal
http://arxiv.org/abs/2101.12294v1

• [cs.CL]Does injecting linguistic structure into language models lead to better alignment with brain recordings?
Mostafa Abdou, Ana Valeria Gonzalez, Mariya Toneva, Daniel Hershcovich, Anders Søgaard
http://arxiv.org/abs/2101.12608v1

• [cs.CL]Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning
Shengsheng Zhang, Yaping Huang, Yun Chen, Liner Yang, Chencheng Wang, Erhong Yang
http://arxiv.org/abs/2101.12409v1

• [cs.CL]NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network
Thanh Chinh Nguyen, Van Nha Nguyen
http://arxiv.org/abs/2101.12672v1

• [cs.CL]Synthesizing Monolingual Data for Neural Machine Translation
Benjamin Marie, Atsushi Fujita
http://arxiv.org/abs/2101.12462v1

• [cs.CL]Transition based Graph Decoder for Neural Machine Translation
Leshem Choshen, Omri Abend
http://arxiv.org/abs/2101.12640v1

• [cs.CR]N-grams Bayesian Differential Privacy
Osman Ramadan, James Withers, Douglas Orr
http://arxiv.org/abs/2101.12736v1

• [cs.CR]State of the Art: Content-based and Hybrid Phishing Detection
F. Castaño, E. Fidalgo, E. Alegre, D. Chaves, M. Sanchez-Paniagua
http://arxiv.org/abs/2101.12723v1

• [cs.CV]Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
http://arxiv.org/abs/2101.12521v1

• [cs.CV]D3DLO: Deep 3D LiDAR Odometry
Philipp Adis, Nicolas Horst, Mathias Wien
http://arxiv.org/abs/2101.12242v1

• [cs.CV]Deep Triplet Hashing Network for Case-based Medical Image Retrieval
Jiansheng Fang, Huazhu Fu, Jiang Liu
http://arxiv.org/abs/2101.12346v1

• [cs.CV]Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge
http://arxiv.org/abs/2101.12491v1

• [cs.CV]Few-Shot Learning for Road Object Detection
Anay Majee, Kshitij Agrawal, Anbumani Subramanian
http://arxiv.org/abs/2101.12543v1

• [cs.CV]Gaining Scale Invariance in UAV Bird’s Eye View Object Detection by Adaptive Resizing
Martin Messmer, Benjamin Kiefer, Andreas Zell
http://arxiv.org/abs/2101.12694v1

• [cs.CV]General-Purpose OCR Paragraph Identification by Graph Convolution Networks
Renshen Wang, Yasuhisa Fujii, Ashok C. Popat
http://arxiv.org/abs/2101.12741v1

• [cs.CV]Leveraging domain labels for object detection from UAVs
Benjamin Kiefer, Martin Messmer, Andreas Zell
http://arxiv.org/abs/2101.12677v1

• [cs.CV]Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans
Navchetan Awasthi, Rohit Pardasani, Swati Gupta
http://arxiv.org/abs/2101.12404v1

• [cs.CV]NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang, Adam Kortylewski, Alan Yuille
http://arxiv.org/abs/2101.12378v1

• [cs.CV]Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity
Rémi Petitpierre
http://arxiv.org/abs/2101.12478v1

• [cs.CV]Open World Compositional Zero-Shot Learning
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
http://arxiv.org/abs/2101.12609v1

• [cs.CV]Polynomial Trajectory Predictions for Improved Learning Performance
Ido Freeman, Kun Zhao, Anton Kummert
http://arxiv.org/abs/2101.12616v1

• [cs.CV]Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
Md Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
http://arxiv.org/abs/2101.12322v1

• [cs.CV]Re Learning Memory Guided Normality for Anomaly Detection
Kevin Stephen, Varun Menon
http://arxiv.org/abs/2101.12382v1

• [cs.CV]Self-Supervised Representation Learning for RGB-D Salient Object Detection
Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan
http://arxiv.org/abs/2101.12482v1

• [cs.CV]Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
Yu-Jen Ma, Hong-Han Shuai, Wen-Huang Cheng
http://arxiv.org/abs/2101.12439v1

• [cs.CV]Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
Samarth Mishra, Kate Saenko, Venkatesh Saligrama
http://arxiv.org/abs/2101.12727v1

• [cs.CV]The Mind’s Eye: Visualizing Class-Agnostic Features of CNNs
Alexandros Stergiou
http://arxiv.org/abs/2101.12447v1

• [cs.CV]Towards Generalising Neural Implicit Representations
Theo W. Costain, Victor Adrian Prisacariu
http://arxiv.org/abs/2101.12690v1

• [cs.CY]Canvas Adoption Assessment and Acceptance of the Learning Management System on a Web-Based Platform
Julius G. Garcia, Mark Gil T. Gangan, Marita N. Tolentino, Marc Ligas, Shirley D. Moraga, Amelia A. Pasilan
http://arxiv.org/abs/2101.12344v1

• [cs.CY]Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques
Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel
http://arxiv.org/abs/2101.12718v1

• [cs.CY]Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
G. Fava, T. Giovannelli, M. Messedaglia, M. Roma
http://arxiv.org/abs/2101.12432v1

• [cs.CY]Epistemic values in feature importance methods: Lessons from feminist epistemology
Leif Hancox-Li, I. Elizabeth Kumar
http://arxiv.org/abs/2101.12737v1

• [cs.CY]Machine Translation, Sentiment Analysis, Text Similarity, Topic Modelling, and Tweets: Understanding Social Media Usage Among Police and Gendarmerie Organizations
Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel
http://arxiv.org/abs/2101.12717v1

• [cs.CY]Time for AI (Ethics) Maturity Model Is Now
Ville Vakkuri, Marianna Jantunen, Erika Halme, Kai-Kristian Kemell, Anh Nguyen-Duc, Tommi Mikkonen, Pekka Abrahamsson
http://arxiv.org/abs/2101.12701v1

• [cs.DC]A Pub-Sub Architecture to Promote Blockchain Interoperability
Sara Ghaemi, Sara Rouhani, Rafael Belchior, Rui S. Cruz, Hamzeh Khazaei, Petr Musilek
http://arxiv.org/abs/2101.12331v1

• [cs.DC]Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent
Nirupam Gupta, Nitin H. Vaidya
http://arxiv.org/abs/2101.12316v1

• [cs.DC]Self-stabilizing Algorithm for Maximal Distance-2 Independent Set
Badreddine Benreguia, Hamouma Moumen, Soheila Bouam, Chafik Arar
http://arxiv.org/abs/2101.11126v2

• [cs.ET]Reservoir Computing with Thin-film Ferromagnetic Devices
Matthew Dale, Richard F. L. Evans, Sarah Jenkins, Simon O’Keefe, Angelika Sebald, Susan Stepney, Fernando Torre, Martin Trefzer
http://arxiv.org/abs/2101.12700v1

• [cs.GT]Sequential Mechanisms for Multi-type Resource Allocation
Sujoy Sikdar, Xiaoxi Guo, Haibin Wang, Lirong Xia, Yongzhi Cao
http://arxiv.org/abs/2101.12522v1

• [cs.IR]A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang
http://arxiv.org/abs/2101.12631v1

• [cs.IR]A Graph-based Relevance Matching Model for Ad-hoc Retrieval
Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang
http://arxiv.org/abs/2101.11873v2

• [cs.IR]Fairness for Whom? Understanding the Reader’s Perception of Fairness in Text Summarization
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh
http://arxiv.org/abs/2101.12406v1

• [cs.IR]Graph Embedding for Recommendation against Attribute Inference Attacks
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
http://arxiv.org/abs/2101.12549v1

• [cs.IR]Out-of-Town Recommendation with Travel Intention Modeling
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
http://arxiv.org/abs/2101.12555v1

• [cs.IR]RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
Cheng Hsu, Cheng-Te Li
http://arxiv.org/abs/2101.12457v1

• [cs.IT]An Automated Theorem Proving Framework for Information-Theoretic Results
Cheuk Ting Li
http://arxiv.org/abs/2101.12370v1

• [cs.IT]An Information Bottleneck Problem with Rényi’s Entropy
Jian-Jia Weng, Fady Alajaji, Tamás Linder
http://arxiv.org/abs/2101.12564v1

• [cs.IT]Channel Measurement and Ray-Tracing-Statistical Hybrid Modeling for Low-Terahertz Indoor Communications
Yi Chen, Yuanbo Li, Chong Han, Ziming Yu, Guangjian Wang
http://arxiv.org/abs/2101.12436v1

• [cs.IT]Combinatorial Quantitative Group Testing with Adversarially Perturbed Measurements
Yun-Han Li, I-Hsiang Wang
http://arxiv.org/abs/2101.12653v1

• [cs.IT]DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition with Vandermonde Factor Matrix
Feng Xu, Matthew W. Morency, Sergiy A. Vorobyov
http://arxiv.org/abs/2101.12666v1

• [cs.IT]Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing, Osvaldo Simeone, Suzhi Bi
http://arxiv.org/abs/2101.12704v1

• [cs.IT]On $今日学术视野(2021.2.2) - 图5$ -divergences between Cauchy distributions
Frank Nielsen, Kazuki Okamura
http://arxiv.org/abs/2101.12459v1

• [cs.IT]On the weight distribution of the cosets of MDS codes
Alexander A. Davydov, Stefano Marcugini, Fernanda Pambianco
http://arxiv.org/abs/2101.12722v1

• [cs.IT]Secure Visible Light Communications via Intelligent Reflecting Surfaces
Lei Qian, Xuefen Chi, Linlin Zhao, Anas Chaaban
http://arxiv.org/abs/2101.12390v1

• [cs.IT]Topological Interference Management with Adversarial Perturbation
Ya-Chun Liang, Chung-Shou Liao, Xinping Yi
http://arxiv.org/abs/2101.12673v1

• [cs.IT]Zero-Error Communication over Adversarial MACs
Yihan Zhang
http://arxiv.org/abs/2101.12426v1

• [cs.LG]AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
Yi-Ju Lu, Cheng-Te Li
http://arxiv.org/abs/2101.12465v1

• [cs.LG]Adversarial Learning with Cost-Sensitive Classes
Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang
http://arxiv.org/abs/2101.12372v1

• [cs.LG]An adaptive artificial neural network-based generative design method for layout designs
Chao Qian, Renkai Tan, Wenjing Ye
http://arxiv.org/abs/2101.12410v1

• [cs.LG]Beyond traditional assumptions in fair machine learning
Niki Kilbertus
http://arxiv.org/abs/2101.12476v1

• [cs.LG]BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang
http://arxiv.org/abs/2101.12547v1

• [cs.LG]Challenges for Using Impact Regularizers to Avoid Negative Side Effects
David Lindner, Kyle Matoba, Alexander Meulemans
http://arxiv.org/abs/2101.12509v1

• [cs.LG]Differential Privacy Meets Federated Learning under Communication Constraints
Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu
http://arxiv.org/abs/2101.12240v1

• [cs.LG]DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network
Thomas Johnson, Eiman Kanjo, Kieran Woodward
http://arxiv.org/abs/2101.12615v1

• [cs.LG]Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz
http://arxiv.org/abs/2101.11693v2

• [cs.LG]Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
Vacharapat Mettanant, Jittat Fakcharoenphol
http://arxiv.org/abs/2101.12403v1

• [cs.LG]Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks
Cong Fang, Hangfeng He, Qi Long, Weijie J Su
http://arxiv.org/abs/2101.12699v1

• [cs.LG]Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs
Quan Feng, Songcan Chen
http://arxiv.org/abs/2101.12431v1

• [cs.LG]Learning User Preferences in Non-Stationary Environments
Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz
http://arxiv.org/abs/2101.12506v1

• [cs.LG]No-Regret Caching via Online Mirror Descent
Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis
http://arxiv.org/abs/2101.12588v1

• [cs.LG]On the capacity of deep generative networks for approximating distributions
Yunfei Yang, Zhen Li, Yang Wang
http://arxiv.org/abs/2101.12353v1

• [cs.LG]Optimal strategies for reject option classifiers
V. Franc, D. Prusa, V. Voracek
http://arxiv.org/abs/2101.12523v1

• [cs.LG]Predicting Nanorobot Shapes via Generative Models
Emma Benjaminson, Rebecca E. Taylor, Matthew Travers
http://arxiv.org/abs/2101.12719v1

• [cs.LG]Revisiting Non-Specific Syndromic Surveillance
Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz
http://arxiv.org/abs/2101.12246v1

• [cs.LG]Subgraph nomination: Query by Example Subgraph Retrieval in Networks
Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
http://arxiv.org/abs/2101.12430v1

• [cs.LG]The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection
Mehran H. Z. Bazargani, Arjun Pakrashi, Brian Mac Namee
http://arxiv.org/abs/2101.12632v1

• [cs.LG]Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP
Zihan Zhang, Jiaqi Yang, Xiangyang Ji, Simon S. Du
http://arxiv.org/abs/2101.12745v1

• [cs.LO]Inductive Synthesis for Probabilistic Programs Reaches New Horizons
Roman Andriushchenko, Milan Ceska, Sebastian Junges, Joost-Pieter Katoen
http://arxiv.org/abs/2101.12683v1

• [cs.RO]A note on synthesizing geodesic based contact curves
Rajesh Kumar, Sudipto Mukherjee
http://arxiv.org/abs/2101.12411v1

• [cs.RO]Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke
http://arxiv.org/abs/2101.12561v1

• [cs.RO]Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
Shiyu Jin, Xinghao Zhu, Changhao Wang, Masayoshi Tomizuka
http://arxiv.org/abs/2101.12467v1

• [cs.RO]Hybrid leg compliance enables robots to operate with sensorimotor delays and low control update frequencies
Milad Shafiee Ashtiani, Alborz Aghamaleki Sarvestani, Alexander Badri-Spröwitz
http://arxiv.org/abs/2101.12255v1

• [cs.RO]Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight
Ramkumar Natarajan, Howie Choset, Maxim Likhachev
http://arxiv.org/abs/2101.12548v1

• [cs.RO]Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping
Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, Chaoyang Song
http://arxiv.org/abs/2101.12379v1

• [cs.RO]Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat, Karl Sammut, Gilles Le Chenadec, Benoit Clement
http://arxiv.org/abs/2101.12501v1

• [cs.RO]Teaching Turn-Taking Skills to Children with Autism using a Parrot-Like Robot
Pegah Soleiman, Hadi Moradi, Maryam Mahmoudi, Mohyeddin Teymouri, Hamid Reza Pouretemad
http://arxiv.org/abs/2101.12273v1

• [cs.RO]The Analysis of Discrete-Event System in Autonomous Package Delivery using Legged Robot and Conveyor Belt
Garen Haddeler
http://arxiv.org/abs/2101.12347v1

• [cs.RO]Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
Rui Wang, Kai Gao, Daniel Nakhimovich, Jingjin Yu, Kostas E. Bekris
http://arxiv.org/abs/2101.12241v1

• [cs.SE]Résumé-Driven Development: A Definition and Empirical Characterization
Jonas Fritzsch, Marvin Wyrich, Justus Bogner, Stefan Wagner
http://arxiv.org/abs/2101.12703v1

• [econ.EM]Gaussian Process Latent Class Choice Models
Georges Sfeir, Filipe Rodrigues, Maya Abou-Zeid
http://arxiv.org/abs/2101.12252v1

• [eess.AS]BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
Martin Kocour, Guillermo Cámbara, Jordi Luque, David Bonet, Mireia Farrús, Martin Karafiát, Karel Veselý, Jan ‘’Honza’’ Ĉernocký
http://arxiv.org/abs/2101.12729v1

• [eess.AS]Speech Enhancement for Wake-Up-Word detection in Voice Assistants
David Bonet, Guillermo Cámbara, Fernando López, Pablo Gómez, Carlos Segura, Jordi Luque
http://arxiv.org/abs/2101.12732v1

• [eess.IV]A Petri Dish for Histopathology Image Analysis
Jerry Wei, Arief Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
http://arxiv.org/abs/2101.12355v1

• [eess.IV]Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease
Chengyang Zhou, Thao Vy Dinh, Heyi Kong, Jonathan Yap, Khung Keong Yeo, Hwee Kuan Lee, Kaicheng Liang
http://arxiv.org/abs/2101.12505v1

• [eess.IV]Reliable COVID-19 Detection Using Chest X-ray Images
Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Moncef Gabbouj
http://arxiv.org/abs/2101.12254v1

• [eess.IV]Robust Representation Learning with Feedback for Single Image Deraining
Chenghao Chen, Hao Li
http://arxiv.org/abs/2101.12463v1

• [eess.SY]Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems
Ashkan Jasour, Allen Wang, Brian C. Williams
http://arxiv.org/abs/2101.12490v1

• [math.AT]From Geometry to Topology: Inverse Theorems for Distributed Persistence
Elchanan Solomon, Alex Wagner, Paul Bendich
http://arxiv.org/abs/2101.12288v1

• [math.OC]Between steps: Intermediate relaxations between big-M and convex hull formulations
Jan Kronqvist, Ruth Misener, Calvin Tsay
http://arxiv.org/abs/2101.12708v1

• [math.PR]Stochastic block model entropy and broadcasting on trees with survey
Emmanuel Abbe, Elisabetta Cornacchia, Yuzhou Gu, Yury Polyanskiy
http://arxiv.org/abs/2101.12601v1

• [math.ST]A new class of tail dependence measures and their maximization
Takaaki Koike, Shogo Kato, Marius Hofert
http://arxiv.org/abs/2101.12262v1

• [math.ST]Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models
Christoph Breunig, Xiaohong Chen
http://arxiv.org/abs/2101.12282v1

• [physics.soc-ph]Strong coupling between scales in a multi-scalar model of urban dynamics
Juste Raimbault
http://arxiv.org/abs/2101.12725v1

• [q-fin.ST]Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques
Bart H. L. Overes, Michel van der Wel
http://arxiv.org/abs/2101.12684v1

• [quant-ph]Theory of Communication Efficient Quantum Secret Sharing
Kaushik Senthoor, Pradeep Kiran Sarvepalli
http://arxiv.org/abs/2101.12419v1

• [stat.AP]A Bayesian Model of Cash Bail Decisions
Joshua Williams, J. Zico Kolter
http://arxiv.org/abs/2101.12267v1

• [stat.AP]A Study on the Association between Maternal Childhood Trauma Exposure and Placental-fetal Stress Physiology during Pregnancy
Eileen Zhang
http://arxiv.org/abs/2101.12451v1

• [stat.AP]How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action
Bettina Grün, Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter
http://arxiv.org/abs/2101.12686v1

• [stat.AP]Semiparametric point process modelling of blinking artifacts in PALM
Louis G. Jensen, David J. Williamson, Ute Hahn
http://arxiv.org/abs/2101.12285v1

• [stat.AP]The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
Lina Montoya, Mark van der Laan, Alexander Luedtke, Jennifer Skeem, Jeremy Coyle, Maya Petersen
http://arxiv.org/abs/2101.12326v1

• [stat.ME]A Practical Two-Sample Test for Weighted Random Graphs
Mingao Yuan, Qian Wen
http://arxiv.org/abs/2101.12492v1

• [stat.ME]A principle feature analysis
Tim Breitenbach, Lauritz Rasbach, Chunguang Liang, Patrick Jahnke
http://arxiv.org/abs/2101.12720v1

• [stat.ME]Adaptive Inference for Change Points in High-Dimensional Data
Yangfan Zhang, Runmin Wang, Xiaofeng Shao
http://arxiv.org/abs/2101.12357v1

• [stat.ME]Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules
Carol Alexander, Michael Coulon, Yang Han, Xiaochun Meng
http://arxiv.org/abs/2101.12693v1

• [stat.ME]Experimentation for Homogenous Policy Change
Molly Offer-Westort, Drew Dimmery
http://arxiv.org/abs/2101.12318v1

• [stat.ME]Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the State of Qatar
Edward L. Boone, Abdel-Salam G. Abdel-Salam, Indranil Sahoo, Ryad Ghanam, Xi Chen, Aiman Hanif
http://arxiv.org/abs/2101.12642v1

• [stat.ME]Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
Alessandro Casa, Tom F. O’Callaghan, Thomas Brendan Murphy
http://arxiv.org/abs/2101.12499v1

• [stat.ME]Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule
Lina Montoya, Jennifer Skeem, Mark van der Laan, Maya Petersen
http://arxiv.org/abs/2101.12333v1

• [stat.ME]Regularizing Double Machine Learning in Partially Linear Endogenous Models
Corinne Emmenegger, Peter Bühlmann
http://arxiv.org/abs/2101.12525v1

• [stat.ME]Tree-based Node Aggregation in Sparse Graphical Models
Ines Wilms, Jacob Bien
http://arxiv.org/abs/2101.12503v1

• [stat.ML]A Survey of Complex-Valued Neural Networks
Joshua Bassey, Lijun Qian, Xianfang Li
http://arxiv.org/abs/2101.12249v1

• [stat.ML]Covariance Prediction via Convex Optimization
Shane Barratt, Stephen Boyd
http://arxiv.org/abs/2101.12416v1

• [stat.ML]Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
Jiajun Liang, Chuyang Ke, Jean Honorio
http://arxiv.org/abs/2101.12369v1

• [stat.ML]Low Rank Forecasting
Shane Barratt, Yining Dong, Stephen Boyd
http://arxiv.org/abs/2101.12414v1

• [stat.ML]Optimal Approximation Rates and Metric Entropy of ReLU $今日学术视野(2021.2.2) - 图6$ and Cosine Networks
Jonathan W. Siegel, Jinchao Xu
http://arxiv.org/abs/2101.12365v1

• [stat.ML]Total Stability of SVMs and Localized SVMs
Hannes Köhler, Andreas Christmann
http://arxiv.org/abs/2101.12678v1>astro-ph.IM - 仪器仪表和天体物理学方法
astro-ph.SR - 太阳和天体物理学恒星
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.ET - 新兴技术
cs.GT - 计算机科学与博弈论
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.RO - 机器人学
cs.SE - 软件工程
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.AT - 代数拓扑
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-fin.ST - 统计金融学
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [astro-ph.IM]A Fast Template Periodogram for Detecting Non-sinusoidal Fixed-shape Signals in Irregularly Sampled Time Series
• [astro-ph.IM]Morphological components analysis for circumstellar disks imaging
• [astro-ph.SR]Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification
• [cs.AI]Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
• [cs.AI]Optimizing $αμ$
• [cs.CL]CD2CR: Co-reference Resolution Across Documents and Domains
• [cs.CL]Combining pre-trained language models and structured knowledge
• [cs.CL]Does injecting linguistic structure into language models lead to better alignment with brain recordings?
• [cs.CL]Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning
• [cs.CL]NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network
• [cs.CL]Synthesizing Monolingual Data for Neural Machine Translation
• [cs.CL]Transition based Graph Decoder for Neural Machine Translation
• [cs.CR]N-grams Bayesian Differential Privacy
• [cs.CR]State of the Art: Content-based and Hybrid Phishing Detection
• [cs.CV]Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
• [cs.CV]D3DLO: Deep 3D LiDAR Odometry
• [cs.CV]Deep Triplet Hashing Network for Case-based Medical Image Retrieval
• [cs.CV]Efficient-CapsNet: Capsule Network with Self-Attention Routing
• [cs.CV]Few-Shot Learning for Road Object Detection
• [cs.CV]Gaining Scale Invariance in UAV Bird’s Eye View Object Detection by Adaptive Resizing
• [cs.CV]General-Purpose OCR Paragraph Identification by Graph Convolution Networks
• [cs.CV]Leveraging domain labels for object detection from UAVs
• [cs.CV]Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans
• [cs.CV]NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
• [cs.CV]Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity
• [cs.CV]Open World Compositional Zero-Shot Learning
• [cs.CV]Polynomial Trajectory Predictions for Improved Learning Performance
• [cs.CV]Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
• [cs.CV]Re Learning Memory Guided Normality for Anomaly Detection
• [cs.CV]Self-Supervised Representation Learning for RGB-D Salient Object Detection
• [cs.CV]Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
• [cs.CV]Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
• [cs.CV]The Mind’s Eye: Visualizing Class-Agnostic Features of CNNs
• [cs.CV]Towards Generalising Neural Implicit Representations
• [cs.CY]Canvas Adoption Assessment and Acceptance of the Learning Management System on a Web-Based Platform
• [cs.CY]Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques
• [cs.CY]Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
• [cs.CY]Epistemic values in feature importance methods: Lessons from feminist epistemology
• [cs.CY]Machine Translation, Sentiment Analysis, Text Similarity, Topic Modelling, and Tweets: Understanding Social Media Usage Among Police and Gendarmerie Organizations
• [cs.CY]Time for AI (Ethics) Maturity Model Is Now
• [cs.DC]A Pub-Sub Architecture to Promote Blockchain Interoperability
• [cs.DC]Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent
• [cs.DC]Self-stabilizing Algorithm for Maximal Distance-2 Independent Set
• [cs.ET]Reservoir Computing with Thin-film Ferromagnetic Devices
• [cs.GT]Sequential Mechanisms for Multi-type Resource Allocation
• [cs.IR]A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search
• [cs.IR]A Graph-based Relevance Matching Model for Ad-hoc Retrieval
• [cs.IR]Fairness for Whom? Understanding the Reader’s Perception of Fairness in Text Summarization
• [cs.IR]Graph Embedding for Recommendation against Attribute Inference Attacks
• [cs.IR]Out-of-Town Recommendation with Travel Intention Modeling
• [cs.IR]RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
• [cs.IT]An Automated Theorem Proving Framework for Information-Theoretic Results
• [cs.IT]An Information Bottleneck Problem with Rényi’s Entropy
• [cs.IT]Channel Measurement and Ray-Tracing-Statistical Hybrid Modeling for Low-Terahertz Indoor Communications
• [cs.IT]Combinatorial Quantitative Group Testing with Adversarially Perturbed Measurements
• [cs.IT]DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition with Vandermonde Factor Matrix
• [cs.IT]Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
• [cs.IT]On $f$-divergences between Cauchy distributions
• [cs.IT]On the weight distribution of the cosets of MDS codes
• [cs.IT]Secure Visible Light Communications via Intelligent Reflecting Surfaces
• [cs.IT]Topological Interference Management with Adversarial Perturbation
• [cs.IT]Zero-Error Communication over Adversarial MACs
• [cs.LG]AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
• [cs.LG]Adversarial Learning with Cost-Sensitive Classes
• [cs.LG]An adaptive artificial neural network-based generative design method for layout designs
• [cs.LG]Beyond traditional assumptions in fair machine learning
• [cs.LG]BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
• [cs.LG]Challenges for Using Impact Regularizers to Avoid Negative Side Effects
• [cs.LG]Differential Privacy Meets Federated Learning under Communication Constraints
• [cs.LG]DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network
• [cs.LG]Dopamine: Differentially Private Federated Learning on Medical Data
• [cs.LG]Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
• [cs.LG]Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks
• [cs.LG]Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs
• [cs.LG]Learning User Preferences in Non-Stationary Environments
• [cs.LG]No-Regret Caching via Online Mirror Descent
• [cs.LG]On the capacity of deep generative networks for approximating distributions
• [cs.LG]Optimal strategies for reject option classifiers
• [cs.LG]Predicting Nanorobot Shapes via Generative Models
• [cs.LG]Revisiting Non-Specific Syndromic Surveillance
• [cs.LG]Subgraph nomination: Query by Example Subgraph Retrieval in Networks
• [cs.LG]The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection
• [cs.LG]Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP
• [cs.LO]Inductive Synthesis for Probabilistic Programs Reaches New Horizons
• [cs.RO]A note on synthesizing geodesic based contact curves
• [cs.RO]Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
• [cs.RO]Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
• [cs.RO]Hybrid leg compliance enables robots to operate with sensorimotor delays and low control update frequencies
• [cs.RO]Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight
• [cs.RO]Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping
• [cs.RO]Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
• [cs.RO]Teaching Turn-Taking Skills to Children with Autism using a Parrot-Like Robot
• [cs.RO]The Analysis of Discrete-Event System in Autonomous Package Delivery using Legged Robot and Conveyor Belt
• [cs.RO]Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
• [cs.SE]Résumé-Driven Development: A Definition and Empirical Characterization
• [econ.EM]Gaussian Process Latent Class Choice Models
• [eess.AS]BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge
• [eess.AS]Speech Enhancement for Wake-Up-Word detection in Voice Assistants
• [eess.IV]A Petri Dish for Histopathology Image Analysis
• [eess.IV]Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease
• [eess.IV]Reliable COVID-19 Detection Using Chest X-ray Images
• [eess.IV]Robust Representation Learning with Feedback for Single Image Deraining
• [eess.SY]Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems
• [math.AT]From Geometry to Topology: Inverse Theorems for Distributed Persistence
• [math.OC]Between steps: Intermediate relaxations between big-M and convex hull formulations
• [math.PR]Stochastic block model entropy and broadcasting on trees with survey
• [math.ST]A new class of tail dependence measures and their maximization
• [math.ST]Adaptive Estimation of Quadratic Functionals in Nonparametric Instrumental Variable Models
• [physics.soc-ph]Strong coupling between scales in a multi-scalar model of urban dynamics
• [q-fin.ST]Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques
• [quant-ph]Theory of Communication Efficient Quantum Secret Sharing
• [stat.AP]A Bayesian Model of Cash Bail Decisions
• [stat.AP]A Study on the Association between Maternal Childhood Trauma Exposure and Placental-fetal Stress Physiology during Pregnancy
• [stat.AP]How many data clusters are in the Galaxy data set? Bayesian cluster analysis in action
• [stat.AP]Semiparametric point process modelling of blinking artifacts in PALM
• [stat.AP]The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
• [stat.ME]A Practical Two-Sample Test for Weighted Random Graphs
• [stat.ME]A principle feature analysis
• [stat.ME]Adaptive Inference for Change Points in High-Dimensional Data
• [stat.ME]Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules
• [stat.ME]Experimentation for Homogenous Policy Change
• [stat.ME]Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the State of Qatar
• [stat.ME]Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
• [stat.ME]Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule
• [stat.ME]Regularizing Double Machine Learning in Partially Linear Endogenous Models
• [stat.ME]Tree-based Node Aggregation in Sparse Graphical Models
• [stat.ML]A Survey of Complex-Valued Neural Networks
• [stat.ML]Covariance Prediction via Convex Optimization
• [stat.ML]Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
• [stat.ML]Low Rank Forecasting
• [stat.ML]Optimal Approximation Rates and Metric Entropy of ReLU$^k$ and Cosine Networks
• [stat.ML]Total Stability of SVMs and Localized SVMs

·····································

• [astro-ph.IM]Morphological components analysis for circumstellar disks imaging
Benoît Pairet, Faustine Cantalloube, Laurent Jacques
http://arxiv.org/abs/2101.12706v1

• [astro-ph.SR]Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification
Vlad Landa, Yuval Reuveni
http://arxiv.org/abs/2101.12550v1

• [cs.AI]Optimizing $αμ$
Tristan Cazenave, Swann Legras, Véronique Ventos
http://arxiv.org/abs/2101.12639v1