今日学术视野(2021.2.26)

cond-mat.dis-nn - 无序系统与神经网络

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.DS - 数据结构与算法 cs.ET - 新兴技术 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.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 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-bio.NC - 神经元与认知 q-bio.QM - 定量方法 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

• [cond-mat.dis-nn]Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem
• [cs.AI]A CP-Net based Qualitative Composition Approach for an IaaS Provider
• [cs.AI]AGENT: A Benchmark for Core Psychological Reasoning
• [cs.AI]Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
• [cs.AI]CoreDiag: Eliminating Redundancy in Constraint Sets
• [cs.AI]Differentiable Logic Machines
• [cs.AI]Fair Set Selection: Meritocracy and Social Welfare
• [cs.AI]Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
• [cs.AI]Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
• [cs.AI]Location Trace Privacy Under Conditional Priors
• [cs.AI]Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
• [cs.AI]Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
• [cs.AI]School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
• [cs.AR]FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism
• [cs.CL]Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese
• [cs.CL]Automatic Meter Classification of Kurdish Poems
• [cs.CL]Creolizing the Web
• [cs.CL]From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
• [cs.CL]Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
• [cs.CL]LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting
• [cs.CL]Multi-Task Attentive Residual Networks for Argument Mining
• [cs.CL]Multichannel LSTM-CNN for Telugu Technical Domain Identification
• [cs.CL]NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
• [cs.CL]OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach
• [cs.CL]PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains
• [cs.CL]Probing Classifiers: Promises, Shortcomings, and Alternatives
• [cs.CL]Re-Evaluating GermEval17 Using German Pre-Trained Language Models
• [cs.CL]Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
• [cs.CL]SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media
• [cs.CL]Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Da
6d01
ta
• [cs.CL]Teach Me to Explain: A Review of Datasets for Explainable NLP
• [cs.CL]The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
• [cs.CL]Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning
• [cs.CL]When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
• [cs.CR]Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT
• [cs.CR]Long-term IaaS Provider Selection using Short-term Trial Experience
• [cs.CR]Lossless Compression of Efficient Private Local Randomizers
• [cs.CV]”Train one, Classify one, Teach one” — Cross-surgery transfer learning for surgical step recognition
• [cs.CV]4D Panoptic LiDAR Segmentation
• [cs.CV]A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis
• [cs.CV]A Straightforward Framework For Video Retrieval Using CLIP
• [cs.CV]An Enhanced Prohibited Items Recognition Model
• [cs.CV]Arguments for the Unsuitability of Convolutional Neural Networks for Non—Local Tasks
• [cs.CV]Characterization and recognition of handwritten digits using Julia
• [cs.CV]Deep Video Prediction for Time Series Forecasting
• [cs.CV]Efficient Palm-Line Segmentation with U-Net Context Fusion Module
• [cs.CV]Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
• [cs.CV]Enabling the Network to Surf the Internet
• [cs.CV]Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots
• [cs.CV]GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
• [cs.CV]GEM: Glare or Gloom, I Can Still See You — End-to-End Multimodal Object Detector
• [cs.CV]Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
• [cs.CV]Image Completion via Inference in Deep Generative Models
• [cs.CV]Learning to Drop Points for LiDAR Scan Synthesis
• [cs.CV]Localization Distillation for Object Detection
• [cs.CV]Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
• [cs.CV]Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
• [cs.CV]Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
• [cs.CV]On Relative Pose Recovery for Multi-Camera Systems
• [cs.CV]On the Impact of Interpretability Methods in Active Image Augmentation Method
• [cs.CV]PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
• [cs.CV]PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
• [cs.CV]Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
• [cs.CV]SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification
• [cs.CV]Self-Domain Adaptation for Face Anti-Spoofing
• [cs.CV]SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
• [cs.CV]Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection
• [cs.CV]State-of-the-Art in Human Scanpath Prediction
• [cs.CV]Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting
• [cs.CV]The SpaceNet Multi-Temporal Urban Development Challenge
• [cs.CV]Unsupervised semantic discovery through visual patterns detection
• [cs.CV]Zero-Shot Text-to-Image Generation
• [cs.CY]Actionable Principles for Artificial Intelligence Policy: Three Pathways
• [cs.CY]Quantifying Confounding Bias in Generative Art: A Case Study
• [cs.DC]A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing
• [cs.DC]Cellular Automata and Kan Extensions
• [cs.DC]Design and Verification of a Logless Dynamic Reconfiguration Protocol in MongoDB Replication
• [cs.DC]GPU-aware Communication with UCX in Parallel Programming Models: Charm++, MPI, and Python
• [cs.DS]A Survey on Consortium Blockchain Consensus Mechanisms
• [cs.DS]Density Sketches for Sampling and Estimation
• [cs.ET]Quantum Entropic Causal Inference
• [cs.HC]A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents
• [cs.IR]An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment
• [cs.IR]Designing Explanations for Group Recommender Systems
• [cs.IR]Neural Ranking Models for Document Retrieval
• [cs.IR]Neural content-aware collaborative filtering for cold-start music recommendation
• [cs.IR]Revisit Recommender System in the Permutation Prospective
• [cs.IR]Support the Underground: Characteristics of Beyond-Mainstream Music Listeners
• [cs.IT]A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints
• [cs.IT]A new upper bound and optimal constructions of equi-difference conflict-avoiding codes on constant weight
• [cs.IT]Binary Subspace Chirps
• [cs.IT]Further results on the 2-adic complexity of a class of balanced generalized cyclotomic sequences
• [cs.IT]Multiple Access Channel Simulation
• [cs.IT]Position Location for Futuristic Cellular Communications — 5G and Beyond
• [cs.IT]Rack-Aware Cooperative Regenerating Codes
• [cs.IT]Temporal Energy Analysis of Symbol Sequences for Fiber Nonlinear Interference Modelling via Energy Dispersion Index
• [cs.IT]Two Problems about Monomial Bent Functions
• [cs.IT]Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing
• [cs.IT]Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
• [cs.LG]A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks
• [cs.LG]A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
• [cs.LG]Abelian Neural Networks
• [cs.LG]Adversarial Robustness with Non-uniform Perturbations
• [cs.LG]Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning
• [cs.LG]AutoAI-TS: AutoAI for Time Series Forecasting
• [cs.LG]Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
• [cs.LG]Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions
• [cs.LG]Combining Off and On-Policy Training in Model-Based Reinforcement Learning
• [cs.LG]Continuous Mean-Covariance Bandits
• [cs.LG]DNN2LR: Automatic Feature Crossing for Credit Scoring
• [cs.LG]DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
• [cs.LG]Do Transformer Modifications Transfer Across Implementations and Applications?
• [cs.LG]Efficient Distributed Auto-Differentiation
• [cs.LG]Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices
• [cs.LG]Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach
• [cs.LG]Feature Importance Explanations for Temporal Black-Box Models
• [cs.LG]Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder
• [cs.LG]Good Actors can come in Smaller Sizes: A Case Study on the Value of Actor-Critic Asymmetry
• [cs.LG]Graphfool: Targeted Label Adversarial Attack on Graph Embedding
• [cs.LG]HiPaR: Hierarchical Pattern-aided Regression
• [cs.LG]Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
• [cs.LG]Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
• [cs.LG]Information Directed Reward Learning for Reinforcement Learning
• [cs.LG]Instance Specific Approximations for Submodular Maximization
• [cs.LG]Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
• [cs.LG]Learning to Generate Wasserstein Barycenters
• [cs.LG]Learning-Augmented Sketches for Hessians
• [cs.LG]Memory-based Deep Reinforcement Learning for POMDP
• [cs.LG]Multiplicative Reweighting for Robust Neural Network Optimization
• [cs.LG]Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
• [cs.LG]Non-Singular Adversarial Robustness of Neural Networks
• [cs.LG]Nonlinear Invariant Risk Minimization: A Causal Approach
• [cs.LG]On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
• [cs.LG]Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
• [cs.LG]Pre-Training on Dynamic Graph Neural Networks
• [cs.LG]Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
• [cs.LG]Similarity measure for sparse time course data based on Gaussian processes
• [cs.LG]State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
• [cs.LG]Synthetic Returns for Long-Term Credit Assignment
• [cs.LG]Theoretical Understandings of Product Embedding for E-commerce Machine Learning
• [cs.LG]Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants
• [cs.LG]Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
• [cs.LG]Understanding and Mitigating Accuracy Disparity in Regression
• [cs.MA]MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings
• [cs.NE]An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization
• [cs.NE]Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself
• [cs.NE]Modelling SARS-CoV-2 coevolution with genetic algorithms
• [cs.NE]Multi-Space Evolutionary Search for Large-Scale Optimization
• [cs.NE]Optimal Control Policies to Address the Pandemic Health-Economy Dilemma
• [cs.RO]A Trident Quaternion Framework for Inertial-based Navigation Part I: Rigid Motion Representation and Computation
• [cs.RO]A Trident Quaternion Framework for Inertial-based Navigation Part II: Error Models and Application to Initial Alignment
• [cs.RO]DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
• [cs.RO]Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
• [cs.RO]Iterative Refinement for Real-Time Multi-Robot Path Planning
• [cs.RO]Learning to Shift Attention for Motion Generation
• [cs.RO]Mobile Recharger Path Planning and Recharge Scheduling in a Multi-Robot Environment
• [cs.RO]PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset
• [cs.RO]R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping
• [cs.RO]Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method
• [cs.RO]Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
• [cs.RO]Towards Optimized Distributed Multi-Robot Printing: An Algorithmic Approach
• [cs.SD]Automatic Feature Extraction for Heartbeat Anomaly Detection
• [cs.SD]Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
• [cs.SD]Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music
• [cs.SD]Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech Adaptation
• [cs.SI]Chasm in Hegemony: Explaining and Reproducing Disparities in Homophilous Networks
• [cs.SI]Epistemic Networks
• [cs.SI]Investigating Moral Foundations from Web Trending Topics
• [cs.SI]Malicious and Low Credibility URLs on Twitter during COVID-19
• [cs.SI]The Soccer Game, bit by bit: An information-theoretic analyis
• [econ.GN]Property Business Classification Model Based on Indonesia E-Commerce Data
• [eess.IV]DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
• [eess.IV]Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors
• [eess.IV]Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
• [eess.IV]Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements
• [eess.SY]Contingency Model Predictive Control for Linear Time-Varying Systems
• [math.CO]Quaternary Hermitian self-dual codes of lengths 26, 32, 36, 38 and 40 from modifications of well-known circulant constructions
• [math.DS]Modern Koopman Theory for Dynamical Systems
• [math.NA]Learning optimal multigrid smoothers via neural networks
• [math.OC]Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games
• [math.PR]Asymptotic results for linear combinations of spacings generated by i.i.d. exponential random variables
• [math.PR]Saturable Generalizations of Jensen’s Inequality
• [math.ST]Estimation and testing on independent not identically distributed observations based on Rényi’s pseudodistances
• [math.ST]It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels
• [math.ST]On admissible estimation of a mean vector when the scale is unknown
• [math.ST]On the Minimal Error of Empirical Risk Minimization
• [math.ST]Simplified quasi-likelihood analysis for a locally asymptotically quadratic random field
• [physics.soc-ph]Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables
• [physics.soc-ph]The rich still get richer: Empirical comparison of preferential attachment via linking statistics in Bitcoin and Ethereum
• [q-bio.
5d38
NC]A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning
• [q-bio.QM]Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
• [quant-ph]Gaussian boson sampling and multi-particle event optimization by machine learning in the quantum phase space
• [quant-ph]Quantum Cross Entropy and Maximum Likelihood Principle
• [stat.AP]Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks
• [stat.AP]Population-level Task-evoked Functional Connectivity
• [stat.CO]On Unbiased Estimation for Discretized Models
• [stat.CO]Sparse online variational Bayesian regression
• [stat.ME]A Review of Generalizability and Transportability
• [stat.ME]Estimating Average Treatment Effects with Support Vector Machines
• [stat.ME]Modeling Brain Waves as a Mixture of Latent Processes
• [stat.ME]PCA Rerandomization
• [stat.ME]Semiparametric counterfactual density estimation
• [stat.ME]Smooth online parameter estimation for time varying VAR models with application to rat s LFP data
• [stat.ME]Valid Instrumental Variables Selection Methods using Auxiliary Variable and Constructing Efficient Estimator
• [stat.ML]Classification with abstention but without disparities
• [stat.ML]Learner-Private Online Convex Optimization
• [stat.ML]No-Regret Algorithms for Private Gaussian Process Bandit Optimization
• [stat.ML]Set-valued classification — overview via a unified framework
• [stat.ML]The Promises and Pitfalls of Deep Kernel Learning

·····································

• [cond-mat.dis-nn]Just a Momentum: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problem
Stefano Sarao Mannelli, Pierfrancesco Urbani
http://arxiv.org/abs/2102.11755v2

• [cs.AI]A CP-Net based Qualitative Composition Approach for an IaaS Provider
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
http://arxiv.org/abs/2102.12221v1

• [cs.AI]AGENT: A Benchmark for Core Psychological Reasoning
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
http://arxiv.org/abs/2102.12321v1

• [cs.AI]Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi, Gala Stojnic, Brenden M. Lake, Moira R. Dillon
http://arxiv.org/abs/2102.11938v1

• [cs.AI]CoreDiag: Eliminating Redundancy in Constraint Sets
Alexander Felfernig, Christoph Zehentner, Paul Blazek
http://arxiv.org/abs/2102.12151v1

• [cs.AI]Differentiable Logic Machines
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Hao Jianye, Li Dong, Liu Wulong
http://arxiv.org/abs/2102.11529v2

• [cs.AI]Fair Set Selection: Meritocracy and Social Welfare
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis
http://arxiv.org/abs/2102.11932v1

• [cs.AI]Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar
http://arxiv.org/abs/2102.12088v1

• [cs.AI]Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka
http://arxiv.org/abs/2102.11905v1

• [cs.AI]Location Trace Privacy Under Conditional Priors
Casey Meehan, Kamalika Chaudhuri
http://arxiv.org/abs/2102.11955v1

• [cs.AI]Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
Michael van Bekkum, Maaike de Boer, Frank van Harmelen, André Meyer-Vitali, Annette ten Teije
http://arxiv.org/abs/2102.11965v1

• [cs.AI]Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
Lana Sinapayen
http://arxiv.org/abs/2102.12076v1

• [cs.AI]School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget
Omkar Shelke, Hardik Meisheri, Harshad Khadilkar
http://arxiv.org/abs/2102.11762v2

• [cs.AR]FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism
Je Yang, Seongmin Hong, Joo-Young Kim
http://arxiv.org/abs/2102.12103v1

• [cs.CL]Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese
Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/2102.12136v1

• [cs.CL]Automatic Meter Classification of Kurdish Poems
Aso Mahmudi, Hadi Veisi
http://arxiv.org/abs/2102.12109v1

• [cs.CL]Creolizing the Web
Abhinav Tamaskar, Roy Rinberg, Sunandan Chakraborty, Bud Mishra
http://arxiv.org/abs/2102.12382v1

• [cs.CL]From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
Quang Huu Pham, Viet Anh Nguyen, Linh Bao Doan, Ngoc N. Tran, Ta Minh Thanh
http://arxiv.org/abs/2102.12162v1

• [cs.CL]Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
Ishan Sanjeev Upadhyay, Nikhil E, Anshul Wadhawan, Radhika Mamidi
http://arxiv.org/abs/2102.12082v1

• [cs.CL]LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting
Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash
http://arxiv.org/abs/2102.12255v1

• [cs.CL]Multi-Task Attentive Residual Networks for Argument Mining
Andrea Galassi, Marco Lippi, Paolo Torroni
http://arxiv.org/abs/2102.12227v1

• [cs.CL]Multichannel LSTM-CNN for Telugu Technical Domain Identification
Sunil Gundapu, Radhika Mamidi
http://arxiv.org/abs/2102.12179v1

• [cs.CL]NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
Gunjan Chhablani, Yash Bhartia, Abheesht Sharma, Harshit Pandey, Shan Suthaharan
http://arxiv.org/abs/2102.12254v1

• [cs.CL]OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach
Shaobo Cui, Xintong Bao, Xinxing Zu, Yangyang Guo, Zhongzhou Zhao, Ji Zhang, Haiqing Chen
http://arxiv.org/abs/2102.12128v1

• [cs.CL]PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains
Eyal Ben-David, Nadav Oved, Roi Reichart
http://arxiv.org/abs/2102.12206v1

• [cs.CL]Probing Classifiers: Promises, Shortcomings, and Alternatives
Yonatan Belinkov
http://arxiv.org/abs/2102.12452v1

• [cs.CL]Re-Evaluating GermEval17 Using German Pre-Trained Language Models
M. Aßenmacher, A. Corvonato, C. Heumann
http://arxiv.org/abs/2102.12330v1

• [cs.CL]Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)
Gaurav Singh
http://arxiv.org/abs/2102.12149v1

• [cs.CL]SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media
Boaz Shmueli, Lun-Wei Ku, Soumya Ray
http://arxiv.org/abs/2102.12073v1

• [cs.CL]Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Da
6d01
ta
Akshat Gupta, Sai Krishna Rallabandi, Alan Black
http://arxiv.org/abs/2102.12407v1

• [cs.CL]Teach Me to Explain: A Review of Datasets for Explainable NLP
Sarah Wiegreffe, Ana Marasović
http://arxiv.org/abs/2102.12060v1

• [cs.CL]The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations
Jeremiah Duncan, Fabian Fallas, Chris Gropp, Emily Herron, Maria Mahbub, Paula Olaya, Eduardo Ponce, Tabitha K. Samuel, Daniel Schultz, Sudarshan Srinivasan, Maofeng Tang, Viktor Zenkov, Quan Zhou, Edmon Begoli
http://arxiv.org/abs/2102.11917v1

• [cs.CL]Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning
Gordon Buck, Andreas Vlachos
http://arxiv.org/abs/2102.12266v1

• [cs.CL]When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
Tao Lei
http://arxiv.org/abs/2102.12459v1

• [cs.CR]Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT
Antti Koskela, Antti Honkela
http://arxiv.org/abs/2102.12412v1

• [cs.CR]Long-term IaaS Provider Selection using Short-term Trial Experience
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya, Sajib Mistry
http://arxiv.org/abs/2102.12222v1

• [cs.CR]Lossless Compression of Efficient Private Local Randomizers
Vitaly Feldman, Kunal Talwar
http://arxiv.org/abs/2102.12099v1

• [cs.CV]“Train one, Classify one, Teach one” — Cross-surgery transfer learning for surgical step recognition
Daniel Neimark, Omri Bar, Maya Zohar, Gregory D. Hager, Dotan Asselmann
http://arxiv.org/abs/2102.12308v1

• [cs.CV]4D Panoptic LiDAR Segmentation
Mehmet Aygün, Aljoša Ošep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
http://arxiv.org/abs/2102.12472v1

• [cs.CV]A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis
Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek
http://arxiv.org/abs/2102.12147v1

• [cs.CV]A Straightforward Framework For Video Retrieval Using CLIP
Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
http://arxiv.org/abs/2102.12443v1

• [cs.CV]An Enhanced Prohibited Items Recognition Model
Tianze Rong, Hongxiang Cai, Yichao Xiong
http://arxiv.org/abs/2102.12256v1

• [cs.CV]Arguments for the Unsuitability of Convolutional Neural Networks for Non—Local Tasks
Sebastian Stabinger, David Peer, Antonio Rodríguez-Sánchez
http://arxiv.org/abs/2102.11944v1

• [cs.CV]Characterization and recognition of handwritten digits using Julia
M. A. Jishan, M. S. Alam, Afrida Islam, I. R. Mazumder, K. R. Mahmud, A. K. Al Azad
http://arxiv.org/abs/2102.11994v1

• [cs.CV]Deep Video Prediction for Time Series Forecasting
Zhen Zeng, Tucker Balch, Manuela Veloso
http://arxiv.org/abs/2102.12061v1

• [cs.CV]Efficient Palm-Line Segmentation with U-Net Context Fusion Module
Toan Pham Van, Son Trung Nguyen, Linh Bao Doan, Ngoc N. Tran, Ta Minh Thanh
http://arxiv.org/abs/2102.12127v1

• [cs.CV]Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Qiaosi Yi, Juncheng Li, Faming Fang, Aiwen Jiang, Guixu Zhang
http://arxiv.org/abs/2102.12135v1

• [cs.CV]Enabling the Network to Surf the Internet
Zhuoling Li, Haohan Wang, Tymoteusz Swistek, Weixin Chen, Yuanzheng Li, Haoqian Wang
http://arxiv.org/abs/2102.12205v1

• [cs.CV]Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots
Himanshu Patel, Craig Iaboni, Deepan Lobo, Ji-won Choi, Pramod Abichandani
http://arxiv.org/abs/2102.11916v1

• [cs.CV]GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji
http://arxiv.org/abs/2102.12145v1

• [cs.CV]GEM: Glare or Gloom, I Can Still See You — End-to-End Multimodal Object Detector
Osama Mazhar, Jens Kober, Robert Babuska
http://arxiv.org/abs/2102.12319v1

• [cs.CV]Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
Sergey Nesteruk, Dmitrii Shadrin, Mariia Pukalchik
http://arxiv.org/abs/2102.12295v1

• [cs.CV]Image Completion via Inference in Deep Generative Models
William Harvey, Saeid Naderiparizi, Frank Wood
http://arxiv.org/abs/2102.12037v1

• [cs.CV]Learning to Drop Points for LiDAR Scan Synthesis
Kazuto Nakashima, Ryo Kurazume
http://arxiv.org/abs/2102.11952v1

• [cs.CV]Localization Distillation for Object Detection
Zhaohui Zheng, Rongguang Ye, Ping Wang, Jun Wang, Dongwei Ren, Wangmeng Zuo
http://arxiv.org/abs/2102.12252v1

• [cs.CV]Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
Jingwei Yan, Boyuan Jiang, Jingjing Wang, Qiang Li, Chunmao Wang, Shiliang Pu
http://arxiv.org/abs/2102.12154v1

• [cs.CV]Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Sanat Ramesh, Diego Dall’Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy
http://arxiv.org/abs/2102.12218v1

• [cs.CV]Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Micheal Ying Yang, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang
http://arxiv.org/abs/2102.12219v1

• [cs.CV]On Relative Pose Recovery for Multi-Camera Systems
Ji Zhao, Banglei Guan
http://arxiv.org/abs/2102.11996v1

• [cs.CV]On the Impact of Interpretability Methods in Active Image Augmentation Method
Flavio Santos, Cleber Zanchettin, Leonardo Matos, Paulo Novais
http://arxiv.org/abs/2102.12354v1

• [cs.CV]PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation
Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji
http://arxiv.org/abs/2102.12096v1

• [cs.CV]PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
Yang You, Yujing Lou, Ruoxi Shi, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Weiming Wang, Cewu Lu
http://arxiv.org/abs/2102.12093v1

• [cs.CV]Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao
http://arxiv.org/abs/2102.12122v1

• [cs.CV]SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification
Haojie Liu, Shun Ma, Daoxun Xia, Shaozi Li
http://arxiv.org/abs/2102.12137v1

• [cs.CV]Self-Domain Adaptation for Face Anti-Spoofing
Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, Shiliang Pu
http://arxiv.org/abs/2102.12129v1

• [cs.CV]SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
Sourav Garg, Michael Milford
http://arxiv.org/abs/2102.11603v2

• [cs.CV]Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection
Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su, Yu-Cheng Chang, Yu-Hsiang Lin, Jia-Fong Yeh, Winston H. Hsu
http://arxiv.org/abs/2102.12152v1

• [cs.CV]State-of-the-Art in Human Scanpath Prediction
Matthias Kümmerer, Matthias Bethge
http://arxiv.org/abs/2102.12239v1

• [cs.CV]Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting
Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha
http://arxiv.org/abs/2102.12095v1

• [cs.CV]The SpaceNet Multi-Temporal Urban Development Challenge
Adam Van Etten, Daniel Hogan
http://arxiv.org/abs/2102.11958v1

• [cs.CV]Unsupervised semantic discovery through visual patterns detection
Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello
http://arxiv.org/abs/2102.12213v1

• [cs.CV]Zero-Shot Text-to-Image Generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever
http://arxiv.org/abs/2102.12092v1

• [cs.CY]Actionable Principles for Artificial Intelligence Policy: Three Pathways
Charlotte Stix
http://arxiv.org/abs/2102.12406v1

• [cs.CY]Quantifying Confounding Bias in Generative Art: A Case Study
Ramya Srinivasan, Kanji Uchino
http://arxiv.org/abs/2102.11957v1

• [cs.DC]A Novel Graph-based Computation Offloading Strategy for Workflow Applications in Mobile Edge Computing
Xuejun Li, Tianxiang Chen, Dong Yuan, Jia Xu, Xiao Liu
http://arxiv.org/abs/2102.12236v1

• [cs.DC]Cellular Automata and Kan Extensions
Alexandre Fernandez, Luidnel Maignan, Antoine Spicher
http://arxiv.org/abs/2102.12156v1

• [cs.DC]Design and Verification of a Logless Dynamic Reconfiguration Protocol in MongoDB Replication
William Schultz, Siyuan Zhou, Stavros Tripakis
http://arxiv.org/abs/2102.11960v1

• [cs.DC]GPU-aware Communication with UCX in Parallel Programming Models: Charm++, MPI, and Python
Jaemin Choi, Zane Fink, Sam White, Nitin Bhat, David F. Richards, Laxmikant V. Kale
http://arxiv.org/abs/2102.12416v1

• [cs.DS]A Survey on Consortium Blockchain Consensus Mechanisms
Wei Yao, Junyi Ye, Renita Murimi, Guiling Wang
http://arxiv.org/abs/2102.12058v1

• [cs.DS]Density Sketches for Sampling and Estimation
Aditya Desai, Benjamin Coleman, Anshumali Shrivastava
http://arxiv.org/abs/2102.12301v1

• [cs.ET]Quantum Entropic Causal Inference
Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob
http://arxiv.org/abs/2102.11764v1

• [cs.HC]A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents
Rajmund Nagy, Taras Kucherenko, Birger Moell, André Pereira, Hedvig Kjellström, Ulysses Bernardet
http://arxiv.org/abs/2102.12302v1

• [cs.IR]An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment
Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Michael Jeran
http://arxiv.org/abs/2102.12327v1

• [cs.IR]Designing Explanations for Group Recommender Systems
A. Felfernig, N. Tintarev, T. N. T. Trang, M. Stettinger
http://arxiv.org/abs/2102.12413v1

• [cs.IR]Neural Ranking Models for Document Retrieval
Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin
http://arxiv.org/abs/2102.11903v1

• [cs.IR]Neural content-aware collaborative filtering for cold-start music recommendation
Paul Magron, Cédric Févotte
http://arxiv.org/abs/2102.12369v1

• [cs.IR]Revisit Recommender System in the Permutation Prospective
Yufei Feng, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou
http://arxiv.org/abs/2102.12057v1

• [cs.IR]Support the Underground: Characteristics of Beyond-Mainstream Music Listeners
Dominik Kowald, Peter Muellner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
http://arxiv.org/abs/2102.12188v1

• [cs.IT]A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints
Hasan Basri Celebi, Antonios Pitarokoilis, Mikael Skoglund
http://arxiv.org/abs/2102.12274v1

• [cs.IT]A new upper bound and optimal constructions of equi-difference conflict-avoiding codes on constant weight
Chun-e Zhao, Wenping Ma, Tongjiang Yan, Yuhua Sun
http://arxiv.org/abs/2102.12119v1

• [cs.IT]Binary Subspace Chirps
Tefjol Pllaha, Olav Tirkkonen, Robert Calderbank
http://arxiv.org/abs/2102.12384v1

• [cs.IT]Further results on the 2-adic complexity of a class of balanced generalized cyclotomic sequences
Chun-e Zhao, Yuhua Sun, Tongjiang Yan
http://arxiv.org/abs/2102.12098v1

• [cs.IT]Multiple Access Channel Simulation
Gowtham R. Kurri, Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran
http://arxiv.org/abs/2102.12035v1

• [cs.IT]Position Location for Futuristic Cellular Communications — 5G and Beyond
Ojas Kanhere, Theodore S. Rappaport
http://arxiv.org/abs/2102.12074v1

• [cs.IT]Rack-Aware Cooperative Regenerating Codes
Shreya Gupta, V. Lalitha
http://arxiv.org/abs/2102.12421v1

• [cs.IT]Temporal Energy Analysis of Symbol Sequences for Fiber Nonlinear Interference Modelling via Energy Dispersion Index
Kaiquan Wu, Gabriele Liga, Alireza Sheikh, Frans M. J. Willems, Alex Alvarado
http://arxiv.org/abs/2102.12411v1

• [cs.IT]Two Problems about Monomial Bent Functions
Honggang Hu, Bei Wang, Xianhong Xie, Yiyuan Luo
http://arxiv.org/abs/2102.12304v1

• [cs.IT]Uncoordinated Spectrum Sharing in Millimeter Wave Networks Using Carrier Sensing
Shamik Sarkar, Xiang Zhang, Arupjyoti Bhuyan, Mingyue Ji, Sneha Kumar Kasera
http://arxiv.org/abs/2102.12138v1

• [cs.IT]Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Qunsong Zeng, Yuqing Du, Kaibin Huang
http://arxiv.org/abs/2102.12357v1

• [cs.LG]A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks
Yingfang Yuan, Wenjun Wang, Wei Pang
http://arxiv.org/abs/2102.11995v1

• [cs.LG]A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad
http://arxiv.org/abs/2102.12439v1

• [cs.LG]Abelian Neural Networks
Kenshin Abe, Takanori Maehara, Issei Sato
http://arxiv.org/abs/2102.12232v1

• [cs.LG]Adversarial Robustness with Non-uniform Perturbations
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergul Aydore
http://arxiv.org/abs/2102.12002v1

• [cs.LG]Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning
Isaac J. Sledge, Darshan W. Bryner, Jose C. Principe
http://arxiv.org/abs/2102.12017v1

• [cs.LG]AutoAI-TS: AutoAI for Time Series Forecasting
Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculin, Petros Zerfos
http://arxiv.org/abs/2102.12347v1

• [cs.LG]Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
http://arxiv.org/abs/2102.12307v1

• [cs.LG]Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions
Yihan Du, Yuko Kuroki, Wei Chen
http://arxiv.org/abs/2102.12094v1

• [cs.LG]Combining Off and On-Policy Training in Model-Based Reinforcement Learning
Alexandre Borges, Arlindo Oliveira
http://arxiv.org/abs/2102.12194v1

• [cs.LG]Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
http://arxiv.org/abs/2102.12090v1

• [cs.LG]DNN2LR: Automatic Feature Crossing for Credit Scoring
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
http://arxiv.org/abs/2102.12036v1

• [cs.LG]DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Xianyuan Zhan, Haoran Xu, Yue Zhang, Yusen Huo, Xiangyu Zhu, Honglei Yin, Yu Zheng
http://arxiv.org/abs/2102.11492v2

• [cs.LG]Do Transformer Modifications Transfer Across Implementations and Applications?
Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel
http://arxiv.org/abs/2102.11972v1

• [cs.LG]Efficient Distributed Auto-Differentiation
Bradley T. Baker, Vince D. Calhoun, Barak Pearlmutter, Sergey M. Plis
http://arxiv.org/abs/2102.09631v2

• [cs.LG]Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices
Toan Pham Van, Ngoc N. Tran, Hoang Pham Minh, Tam Nguyen Minh anh Thanh Ta Minh
http://arxiv.org/abs/2102.12165v1

• [cs.LG]Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach
Eoin Brophy, Maarten De Vos, Geraldine Boylan, Tomas Ward
http://arxiv.org/abs/2102.12245v1

• [cs.LG]Feature Importance Explanations for Temporal Black-Box Models
Akshay Sood, Mark Craven
http://arxiv.org/abs/2102.11934v1

• [cs.LG]Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder
Anurag Sarkar, Seth Cooper
http://arxiv.org/abs/2102.12463v1

• [cs.LG]Good Actors can come in Smaller Sizes: A Case Study on the Value of Actor-Critic Asymmetry
Siddharth Mysore, Bassel Mabsout, Renato Mancuso, Kate Saenko
http://arxiv.org/abs/2102.11893v1

• [cs.LG]Graphfool: Targeted Label Adversarial Attack on Graph Embedding
Jinyin Chen, Xiang Lin, Dunjie Zhang, Wenrong Jiang, Guohan Huang, Hui Xiong, Yun Xiang
http://arxiv.org/abs/2102.12284v1

• [cs.LG]HiPaR: Hierarchical Pattern-aided Regression
Luis Galárraga, Olivier Pelgrin, Alexandre Termier
http://arxiv.org/abs/2102.12370v1

• [cs.LG]Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern Eskofier
http://arxiv.org/abs/2102.12196v1

• [cs.LG]Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar
http://arxiv.org/abs/2102.12238v1

• [cs.LG]Information Directed Reward Learning for Reinforcement Learning
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause
http://arxiv.org/abs/2102.12466v1

• [cs.LG]Instance Specific Approximations for Submodular Maximization
Eric Balkanski, Sharon Qian, Yaron Singer
http://arxiv.org/abs/2102.11911v1

• [cs.LG]Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
Toan Pham Van, Tam Minh Nguyen, Ngoc N. Tran, Hoai Viet Nguyen, Linh Bao Doan, Huy Quang Dao, Thanh Ta Minh
http://arxiv.org/abs/2102.12139v1

• [cs.LG]Learning to Generate Wasserstein Barycenters
Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
http://arxiv.org/abs/2102.12178v1

• [cs.LG]Learning-Augmented Sketches for Hessians
Yi Li, Honghao Lin, David P. Woodruff
http://arxiv.org/abs/2102.12317v1

• [cs.LG]Memory-based Deep Reinforcement Learning for POMDP
Lingheng Meng, Rob Gorbet, Dana Kulić
http://arxiv.org/abs/2102.12344v1

• [cs.LG]Multiplicative Reweighting for Robust Neural Network Optimization
Noga Bar, Tomer Koren, Raja Giryes
http://arxiv.org/abs/2102.12192v1

• [cs.LG]Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao
http://arxiv.org/abs/2102.12430v1

• [cs.LG]Non-Singular Adversarial Robustness of Neural Networks
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
http://arxiv.org/abs/2102.11935v1

• [cs.LG]Nonlinear Invariant Risk Minimization: A Causal Approach
Chaochao Lu, Yuhuai Wu, Jośe Miguel Hernández-Lobato, Bernhard Schölkopf
http://arxiv.org/abs/2102.12353v1

• [cs.LG]On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
Zhiyuan Li, Sadhika Malladi, Sanjeev Arora
http://arxiv.org/abs/2102.12470v1

• [cs.LG]Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
Christian Tomani, Daniel Cremers, Florian Buettner
http://arxiv.org/abs/2102.12182v1

• [cs.LG]Pre-Training on Dynamic Graph Neural Networks
Jiajun Zhang, Kejia Chen, Yunyun Wang
http://arxiv.org/abs/2102.12380v1

• [cs.LG]Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung
http://arxiv.org/abs/2102.12033v1

• [cs.LG]Similarity measure for sparse time course data based on Gaussian processes
Zijing Liu, Mauricio Barahona
http://arxiv.org/abs/2102.12342v1

• [cs.LG]State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
http://arxiv.org/abs/2102.11941v1

• [cs.LG]Synthetic Returns for Long-Term Credit Assignment
David Raposo, Sam Ritter, Adam Santoro, Greg Wayne, Theophane Weber, Matt Botvinick, Hado van Hasselt, Francis Song
http://arxiv.org/abs/2102.12425v1

• [cs.LG]Theoretical Understandings of Product Embedding for E-commerce Machine Learning
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
http://arxiv.org/abs/2102.12029v1

• [cs.LG]Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants
Dennis J. N. J. Soemers, Vegard Mella, Eric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud
http://arxiv.org/abs/2102.12375v1

• [cs.LG]Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
Romain Couillet, Florent Chatelain, Nicolas Le Bihan
http://arxiv.org/abs/2102.12293v1

• [cs.LG]Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
http://arxiv.org/abs/2102.12013v1

• [cs.MA]MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings
Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian
http://arxiv.org/abs/2102.12461v1

• [cs.NE]An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization
Dejun Xu, Min Jiang, Weizhen Hu, Shaozi Li, Renhu Pan, Gary G. Yen
http://arxiv.org/abs/2102.12133v1

• [cs.NE]Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself
Frederic Jumelle, Kelvin So, Didan Deng
http://arxiv.org/abs/2102.12339v1

• [cs.NE]Modelling SARS-CoV-2 coevolution with genetic algorithms
Aymeric Vie
http://arxiv.org/abs/2102.12365v1

• [cs.NE]Multi-Space Evolutionary Search for Large-Scale Optimization
Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
http://arxiv.org/abs/2102.11693v2

• [cs.NE]Optimal Control Policies to Address the Pandemic Health-Economy Dilemma
Rohit Salgotra, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim, Amiram Moshaiov
http://arxiv.org/abs/2102.12279v1

• [cs.RO]A Trident Quaternion Framework for Inertial-based Navigation Part I: Rigid Motion Representation and Computation
Wei Ouyang, Yuanxin Wu
http://arxiv.org/abs/2102.12217v1

• [cs.RO]A Trident Quaternion Framework for Inertial-based Navigation Part II: Error Models and Application to Initial Alignment
Wei Ouyang, Yuanxin Wu
http://arxiv.org/abs/2102.12220v1

• [cs.RO]DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
http://arxiv.org/abs/
1000
2102.11003v2
1000
2102.11003v2)

• [cs.RO]Deep Reinforcement Learning for Safe Landing Site Selection with Concurrent Consideration of Divert Maneuvers
Keidai Iiyama, Kento Tomita, Bhavi A. Jagatia, Tatsuwaki Nakagawa, Koki Ho
http://arxiv.org/abs/2102.12432v1

• [cs.RO]Iterative Refinement for Real-Time Multi-Robot Path Planning
Keisuke Okumura, Yasumasa Tamura, Xavier Defago
http://arxiv.org/abs/2102.12331v1

• [cs.RO]Learning to Shift Attention for Motion Generation
You Zhou, Jianfeng Gao, Tamim Asfour
http://arxiv.org/abs/2102.12141v1

• [cs.RO]Mobile Recharger Path Planning and Recharge Scheduling in a Multi-Robot Environment
Tanmoy Kundu, Indranil Saha
http://arxiv.org/abs/2102.12296v1

• [cs.RO]PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset
Jean-Luc Déziel, Pierre Merriaux, Francis Tremblay, Dave Lessard, Dominique Plourde, Julien Stanguennec, Pierre Goulet, Pierre Olivier
http://arxiv.org/abs/2102.12010v1

• [cs.RO]R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping
Jiarong Lin, Chunran Zheng, Wei Xu, Fu Zhang
http://arxiv.org/abs/2102.12400v1

• [cs.RO]Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method
Lei Zheng, Rui Yang, Zhixuan Wu, Jiesen Panb, Hui Cheng
http://arxiv.org/abs/2102.12124v1

• [cs.RO]Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
Nishanth Rao, Suresh Sundaram
http://arxiv.org/abs/2102.12070v1

• [cs.RO]Towards Optimized Distributed Multi-Robot Printing: An Algorithmic Approach
Kedar Karpe, Avinash Sinha, Shreyas Raorane, Ayon Chatterjee, Pranav Srinivas, Lorenzo Sabattini
http://arxiv.org/abs/2102.12026v1

• [cs.SD]Automatic Feature Extraction for Heartbeat Anomaly Detection
Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò
http://arxiv.org/abs/2102.12289v1

• [cs.SD]Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
Julio Wissing, Benedikt Boenninghoff, Dorothea Kolossa, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Christopher Schymura
http://arxiv.org/abs/2102.11588v2

• [cs.SD]Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music
Toan Pham Van, Ngoc N. Tran, Ta Minh Thanh
http://arxiv.org/abs/2102.12111v1

• [cs.SD]Senone-aware Adversarial Multi-task Training for Unsupervised Child to Adult Speech Adaptation
Richeng Duan, Nancy F. Chen
http://arxiv.org/abs/2102.11488v1

• [cs.SI]Chasm in Hegemony: Explaining and Reproducing Disparities in Homophilous Networks
Yiguang Zhang, Jessy Xinyi Han, Ilica Mahajan, Priyanjana Bengani, Augustin Chaintreau
http://arxiv.org/abs/2102.11925v1

• [cs.SI]Epistemic Networks
Mihnea C. Moldoveanu, Joel A. C. Baum
http://arxiv.org/abs/2102.12458v1

• [cs.SI]Investigating Moral Foundations from Web Trending Topics
Jean Marie Tshimula, Belkacem Chikhaoui, Shengrui Wang
http://arxiv.org/abs/2102.11928v1

• [cs.SI]Malicious and Low Credibility URLs on Twitter during COVID-19
Sameera Horawalavithana, Ravindu De Silva, Mohamed Nabeel, Charitha Elvitigala, Primal Wijesekara, Adriana Iamnitchi
http://arxiv.org/abs/2102.12223v1

• [cs.SI]The Soccer Game, bit by bit: An information-theoretic analyis
Luis Ramada Pereira, Rui J. Lopes, Jorge Louçã, Duarte Araújo, João Ramos
http://arxiv.org/abs/2102.11182v2

• [econ.GN]Property Business Classification Model Based on Indonesia E-Commerce Data
Andry Alamsyah, Fariz Denada Sudrajat, Herry Irawan
http://arxiv.org/abs/2102.12300v1

• [eess.IV]DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
Md Mamunur Rahaman, Chen Li, Yudong Yao, Frank Kulwa, Xiangchen Wu, Xiaoyan Li, Qian Wang
http://arxiv.org/abs/2102.12191v1

• [eess.IV]Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors
Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
http://arxiv.org/abs/2102.12310v1

• [eess.IV]Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Changfa Shi, Min Xian, Xiancheng Zhou, Haotian Wang, Heng-Da Cheng
http://arxiv.org/abs/2102.12056v1

• [eess.IV]Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier
http://arxiv.org/abs/2102.12418v1

• [eess.SY]Contingency Model Predictive Control for Linear Time-Varying Systems
John P. Alsterda, J. Christian Gerdes
http://arxiv.org/abs/2102.12045v1

• [math.CO]Quaternary Hermitian self-dual codes of lengths 26, 32, 36, 38 and 40 from modifications of well-known circulant constructions
Adam Michael Roberts
http://arxiv.org/abs/2102.12326v1

• [math.DS]Modern Koopman Theory for Dynamical Systems
Steven L. Brunton, Marko Budišić, Eurika Kaiser, J. Nathan Kutz
http://arxiv.org/abs/2102.12086v1

• [math.NA]Learning optimal multigrid smoothers via neural networks
Ru Huang, Ruipeng Li, Yuanzhe Xi
http://arxiv.org/abs/2102.12071v1

• [math.OC]Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games
Stephanie Allen, John P. Dickerson, Steven A. Gabriel
http://arxiv.org/abs/2102.12415v1

• [math.PR]Asymptotic results for linear combinations of spacings generated by i.i.d. exponential random variables
Camilla Calì, Maria Longobardi, Claudio Macci, Barbara Pacchiarotti
http://arxiv.org/abs/2102.12451v1

• [math.PR]Saturable Generalizations of Jensen’s Inequality
André M. Timpanaro
http://arxiv.org/abs/2102.12352v1

• [math.ST]Estimation and testing on independent not identically distributed observations based on Rényi’s pseudodistances
Elena Castilla, Maria Jaenada, Leandro Pardo
http://arxiv.org/abs/2102.12282v1

• [math.ST]It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels
Jonathan Niles-Weed, Ilias Zadik
http://arxiv.org/abs/2102.12422v1

• [math.ST]On admissible estimation of a mean vector when the scale is unknown
Yuzo Maruyama, William E. Strawderman
http://arxiv.org/abs/2102.12079v1

• [math.ST]On the Minimal Error of Empirical Risk Minimization
Gil Kur, Alexander Rakhlin
http://arxiv.org/abs/2102.12066v1

• [math.ST]Simplified quasi-likelihood analysis for a locally asymptotically quadratic random field
Nakahiro Yoshida
http://arxiv.org/abs/2102.12460v1

• [physics.soc-ph]Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables
Tao Wang, Shiying Xiao, Jun Yan, Panpan Zhang
http://arxiv.org/abs/2102.12454v1

• [physics.soc-ph]The rich still get richer: Empirical comparison of preferential attachment via linking statistics in Bitcoin and Ethereum
Dániel Kondor, Nikola Bulatovic, József Stéger, István Csabai, Gábor Vattay
http://arxiv.org/abs/2102.12064v1

• [q-bio.
5d38
NC]A Robotic Model of Hippocampal Reverse Replay for Reinforcement Learning
Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
http://arxiv.org/abs/2102.11914v1

• [q-bio.QM]Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Xing, Min Xu
http://arxiv.org/abs/2102.12040v1

• [quant-ph]Gaussian boson sampling and multi-particle event optimization by machine learning in the quantum phase space
Claudio Conti
http://arxiv.org/abs/2102.12142v1

• [quant-ph]Quantum Cross Entropy and Maximum Likelihood Principle
Zhou Shangnan, Yixu Wang
http://arxiv.org/abs/2102.11887v1

• [stat.AP]Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks
Xiaojing Zhu, Heather Shappell, Mark A. Kramer, Catherine J. Chu, Eric D. Kolaczyk
http://arxiv.org/abs/2102.11948v1

• [stat.AP]Population-level Task-evoked Functional Connectivity
Kun Meng, Ani Eloyan
http://arxiv.org/abs/2102.12039v1

• [stat.CO]On Unbiased Estimation for Discretized Models
Jeremy Heng, Ajay Jasra, Kody J. H. Law, Alexander Tarakanov
http://arxiv.org/abs/2102.12230v1

• [stat.CO]Sparse online variational Bayesian regression
Kody J. H. Law, Vitaly Zankin
http://arxiv.org/abs/2102.12261v1

• [stat.ME]A Review of Generalizability and Transportability
Irina Degtiar, Sherri Rose
http://arxiv.org/abs/2102.11904v1

• [stat.ME]Estimating Average Treatment Effects with Support Vector Machines
Alexander Tarr, Kosuke Imai
http://arxiv.org/abs/2102.11926v1

• [stat.ME]Modeling Brain Waves as a Mixture of Latent Processes
Guillermo Granados-Garcia, Mark Fiecas, Babak Shahbaba, Norbert Fortin, Hernando Ombao
http://arxiv.org/abs/2102.11971v1

• [stat.ME]PCA Rerandomization
Hengtao Zhang, Guosheng Yin, Donald B. Rubin
http://arxiv.org/abs/2102.12262v1

• [stat.ME]Semiparametric counterfactual density estimation
Edward H. Kennedy, Sivaraman Balakrishnan, Larry Wasserman
http://arxiv.org/abs/2102.12034v1

• [stat.ME]Smooth online parameter estimation for time varying VAR models with application to rat s LFP data
Anass El Yaagoubi Bourakna, Marco Pinto, Norbert Fortin, Hernando Ombao
http://arxiv.org/abs/2102.12290v1

• [stat.ME]Valid Instrumental Variables Selection Methods using Auxiliary Variable and Constructing Efficient Estimator
Shunichiro Orihara
http://arxiv.org/abs/2102.12225v1

• [stat.ML]Classification with abstention but without disparities
Nicolas Schreuder, Evgenii Chzhen
http://arxiv.org/abs/2102.12258v1

• [stat.ML]Learner-Private Online Convex Optimization
Jiaming Xu, Kuang Xu, Dana Yang
http://arxiv.org/abs/2102.11976v1

• [stat.ML]No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey
http://arxiv.org/abs/2102.12467v1

• [stat.ML]Set-valued classification — overview via a unified framework
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Titouan Lorieul
http://arxiv.org/abs/2102.12318v1

• [stat.ML]The Promises and Pitfalls of Deep Kernel Learning
Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk
http://arxiv.org/abs/2102.12108v1