astro-ph.EP - 地球与行星天体 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CT - 范畴论 math.DS - 动力系统 math.MG -公制几何 math.OC - 优化与控制 math.ST - 统计理论 q-bio.BM - 生物分子 q-bio.GN - 基因组学 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.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.EP]Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks
• [cs.AI]How do some Bayesian Network machine learned graphs compare to causal knowledge?
• [cs.AI]Investment vs. reward in a competitive knapsack problem
• [cs.AI]On the Evaluation of Vision-and-Language Navigation Instructions
• [cs.AI]Ordinal Monte Carlo Tree Search
• [cs.AI]Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP
• [cs.AI]Towards Entity Alignment in the Open World: An Unsupervised Approach
• [cs.CL]”Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space
• [cs.CL]A Digital Corpus of St. Lawrence Island Yupik
• [cs.CL]Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks
• [cs.CL]Attention Can Reflect Syntactic Structure (If You Let It)
• [cs.CL]Belief-based Generation of Argumentative Claims
• [cs.CL]Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
• [cs.CL]Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
• [cs.CL]El Volumen Louder Por Favor: Code-switching in Task-oriented SemanticParsing
• [cs.CL]English Machine Reading Comprehension Datasets: A Survey
• [cs.CL]Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks
• [cs.CL]Exploring Transitivity in Neural NLI Models through Veridicality
• [cs.CL]Few-Shot Semantic Parsing for New Predicates
• [cs.CL]Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
• [cs.CL]I Beg to Differ: A study of constructive disagreement in online conversations
• [cs.CL]Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology
• [cs.CL]Meta-Learning for Effective Multi-task and Multilingual Modelling
• [cs.CL]Neural machine translation, corpus and frugality
• [cs.CL]PolyLM: Learning about Polysemy through Language Modeling
• [cs.CL]RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
• [cs.CL]Randomized Deep Structured Prediction for Discourse-Level Processing
• [cs.CL]Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations
• [cs.CL]Representations for Question Answering from Documents with Tables and Text
• [cs.CL]Spark NLP: Natural Language Understanding at Scale
• [cs.CL]Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
• [cs.CL]Summarising Historical Text in Modern Languages
• [cs.CL]The Power of Language: Understanding Sentiment Towards the Climate Emergency using Twitter Data
• [cs.CR]A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust
• [cs.CR]BE-RAN: Blockchain-enabled RAN with Decentralized Identity Management and Privacy-Preserving Communication
• [cs.CR]Dynamic cyber risk estimation with Competitive Quantile Autoregression
• [cs.CR]How Much Communication Resource is Needed to Run a Wireless Blockchain Network?
• [cs.CR]Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
• [cs.CR]Personal Data Access Control Through Distributed Authorization
• [cs.CR]Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation
• [cs.CV]A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder
• [cs.CV]A metric for evaluating 3D reconstruction and mapping performance with no ground truthing
• [cs.CV]AINet: Association Implantation for Superpixel Segmentation
• [cs.CV]Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot
• [cs.CV]Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning
• [cs.CV]CPTR: Full Transformer Network for Image Captioning
• [cs.CV]CoMo: A novel co-moving 3D camera system
• [cs.CV]Consistent Mesh Colors for Multi-View Reconstructed 3D Scenes
• [cs.CV]Deep Burst Super-Resolution
• [cs.CV]Deep Learning for Scene Classification: A Survey
• [cs.CV]DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
• [cs.CV]Developing emotion recognition for video conference software to support people with autism
• [cs.CV]Ear Recognition
• [cs.CV]Ensembling complex network ‘perspectives’ for mild cognitive impairment detection with artificial neural networks
• [cs.CV]Generic Event Boundary Detection: A Benchmark for Event Segmentation
• [cs.CV]Global-Local Propagation Network for RGB-D Semantic Segmentation
• [cs.CV]Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
• [cs.CV]HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
• [cs.CV]How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
• [cs.CV]Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
• [cs.CV]Indoor Group Activity Recognition using Multi-Layered HMMs
• [cs.CV]Introducing and assessing the explainable AI (XAI)method: SIDU
• [cs.CV]Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
• [cs.CV]Joint Forecasting of Features and Feature Motion for Dense Semantic Future Prediction
• [cs.CV]LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view
• [cs.CV]Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising
• [cs.CV]Lightweight Multi-Branch Network for Person Re-Identification
• [cs.CV]Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
• [cs.CV]Nondiscriminatory Treatment: a straightforward framework for multi-human parsing
• [cs.CV]Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution
• [cs.CV]Probability Trajectory: One New Movement Description for Trajectory Prediction
• [cs.CV]Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
• [cs.CV]RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
• [cs.CV]Real-time Non-line-of-sight Imaging with Two-step Deep Remapping
• [cs.CV]ResLT: Residual Learning for Long-tailed Recognition
• [cs.CV]Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
• [cs.CV]Self Sparse Generative Adversarial Networks
• [cs.CV]Semi-synthesis: A fast way to produce effective datasets for stereo matching
• [cs.CV]SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
• [cs.CV]Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models
• [cs.CV]White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content
• [cs.CY]Violent Crime in London: An Investigation using Geographically Weighted Regression
• [cs.DC]Cloud, Fog or Edge: Where to Compute?
• [cs.DC]RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
• [cs.DC]Towards a Staging Environment for the Internet of Things
• [cs.DS]Sampling a Near Neighbor in High Dimensions — Who is the Fairest of Them All?
• [cs.GT]Data sharing games
• [cs.HC]Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms
• [cs.HC]Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots
• [cs.IR]Advances and Challenges in Conversational Recommender Systems: A Survey
• [cs.IR]Cloud-based traffic data fusion for situation evaluation of handover scenarios
• [cs.IR]Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
• [cs.IT]-Information-theoretic Privacy Watchdog and Optimal Privatization Scheme
• [cs.IT]A Linear Reduction Method for Local Differential Privacy and Log-lift
• [cs.IT]Channel Matching: An Adaptive Technique to Increase the Accuracy of Soft Decisions
• [cs.IT]Classical simulations of communication channels
• [cs.IT]DNC-Aided SCL-Flip Decoding of Polar Codes
• [cs.IT]Enhanced Normalized Conjugate Beamforming for Cell-Free Massive MIMO
• [cs.IT]Interference Alignment Using Reaction in Molecular Interference Channels
• [cs.IT]New upper bounds for #card=math&code=%28b%2Ck%29)-hashing
• [cs.IT]On -differential uniformity of ternary APN power functions
• [cs.IT]On the Performance of Spectrum Sharing Backscatter Communication Systems
• [cs.IT]Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems
• [cs.IT]Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS
• [cs.IT]Zero-rate reliability function for mismatched decoding
• [cs.LG]A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
• [cs.LG]A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
• [cs.LG]A Unified Paths Perspective for Pruning at Initialization
• [cs.LG]A fast algorithm for complex discord searches in time series: HOT SAX Time
• [cs.LG]Adversarial Vulnerability of Active Transfer Learning
• [cs.LG]An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
• [cs.LG]An Optimal Reduction of TV-Denoising to Adaptive Online Learning
• [cs.LG]Appliance Operation Modes Identification Using Cycles Clustering
• [cs.LG]Benchmarking Invertible Architectures on Inverse Problems
• [cs.LG]Curriculum Learning: A Survey
• [cs.LG]Deep Learning-Based Autoencoder for Data-Driven Modeling of an RF Photoinjector
• [cs.LG]Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison
• [cs.LG]Finding hidden-feature depending laws inside a data set and classifying it using Neural Network
• [cs.LG]Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm
• [cs.LG]Hyper-optimization with Gaussian Process and Differential Evolution Algorithm
• [cs.LG]Incremental Search Space Construction for Machine Learning Pipeline Synthesis
• [cs.LG]Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification
• [cs.LG]Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
• [cs.LG]Model-agnostic interpretation by visualization of feature perturbations
• [cs.LG]Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
• [cs.LG]Online Continual Learning in Image Classification: An Empirical Survey
• [cs.LG]Online and Scalable Model Selection with Multi-Armed Bandits
• [cs.LG]SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
• [cs.LG]Spectrum Attention Mechanism for Time Series Classification
• [cs.LG]Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
• [cs.LG]The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards
• [cs.LG]Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
• [cs.LG]Unsupervised clustering of series using dynamic programming and neural processes
• [cs.LG]Variational Information Bottleneck Model for Accurate Indoor Position Recognition
• [cs.LO]Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits
• [cs.MM]Efficient video integrity analysis through container characterization
• [cs.MS]Accelerated Polynomial Evaluation and Differentiation at Power Series in Multiple Double Precision
• [cs.NE]A Study of the Fundamental Parameters of Particle Swarm Optimizers
• [cs.NE]Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems
• [cs.NE]Constraint-Handling Techniques for Particle Swarm Optimization Algorithms
• [cs.NE]Cyber Kittens, or Some First Steps Towards Categorical Cybernetics
• [cs.NE]Numerical Comparison of Neighbourhood Topologies in Particle Swarm Optimization
• [cs.NE]Population-Based Methods: PARTICLE SWARM OPTIMIZATION — Development of a General-Purpose Optimizer and Applications
• [cs.RO]A Compositional Sheaf-Theoretic Framework for Event-Based Systems
• [cs.RO]ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks
• [cs.RO]Continual Learning of Visual Concepts for Robots through Limited Supervision
• [cs.RO]Design, analysis and control of the series-parallel hybrid RH5 humanoid robot
• [cs.RO]Impact of Explanation on Trust of a Novel Mobile Robot
• [cs.RO]Learning to falsify automated driving vehicles with prior knowledge
• [cs.RO]Online Body Schema Adaptation through Cost-Sensitive Active Learning
• [cs.RO]Persistent Covering of a Graph under Latency and Energy Constraints
• [cs.RO]The GRIFFIN Perception Dataset: Bridging the Gap Between Flapping-Wing Flight and Robotic Perception
• [cs.RO]Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism
• [cs.RO]Transparency in Multi-Human Multi-Robot Interaction
• [cs.RO]When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions
• [cs.RO]droidlet: modular, heterogenous, multi-modal agents
• [cs.SI]A Behavioural Analysis of Credulous Twitter Users
• [cs.SI]Lexical Sorting Centrality to Distinguish Spreading Abilities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
• [cs.SI]Spreading dynamics of a 2SIH2R, rumor spreading model in the homogeneous network
• [cs.SI]Strategic Evasion of Centrality Measures
• [econ.EM]Real-Time Fixed-Target Statistical Prediction of Arctic Sea Ice Extent
• [eess.IV]A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
• [eess.IV]Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders
• [eess.IV]Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans
• [eess.IV]Glioblastoma Multiforme Patient Survival Prediction
• [eess.IV]ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
• [eess.IV]Learning-Based Patch-Wise Metal Segmentation with Consistency Check
• [eess.IV]Leveraging 3D Information in Unsupervised Brain MRI Segmentation
• [eess.IV]Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views
• [eess.SP]Artificial Intelligence for Satellite Communication: A Review
• [eess.SP]Semi-supervised source localization in reverberant environments with deep generative modeling
• [eess.SY]Learning-‘N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme
• [eess.SY]Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents
• [math.CT]Symmetric Monoidal Categories with Attributes
• [math.DS]Probability distributions for analog-to-target distances
• [math.MG]Poncelet Propellers: Invariant Total Blade Area
• [math.OC]Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
• [math.ST]Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration
• [math.ST]Inferring serial correlation with dynamic backgrounds
• [math.ST]On the distributions of some statistics related to adaptive filters trained with -distributed samples
• [math.ST]Optimal convergence rates for the invariant density estimation of jump-diffusion processes
• [math.ST]Statistical models and probabilistic methods on Riemannian manifolds
• [math.ST]Tensor denoising with trend filtering
• [math.ST]Testing for subsphericity when and
are of different asymptotic order
• [math.ST]The Langevin Monte Carlo algorithm in the non-smooth log-concave case
• [q-bio.BM]Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
• [q-bio.GN]essHi-C: Essential component analysis of Hi-C matrices
• [q-bio.NC]Predicting the future with a scale-invariant temporal memory for the past
• [q-bio.QM]pdfPapers: shell-script utilities for frequency-based multi-word phrase extraction from PDF documents
• [quant-ph]Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
• [stat.AP]A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19
• [stat.AP]Applications of Clustering with Mixed Type Data in Life Insurance
• [stat.AP]Asymmetric Tobit analysis for correlation estimation from censored data
• [stat.AP]Testing Rank of Incomplete Unimodal Matrices
• [stat.AP]The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons
• [stat.ME]A regression framework for a probabilistic measure of cost-effectiveness
• [stat.ME]Identifying Interpretable Discrete Latent Structures from Discrete Data
• [stat.ME]Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient -estimator of the shape matrix
• [stat.ME]Regression Models for Order-of-Addition Experiments
• [stat.ME]USP: an independence test that improves on Pearson’s chi-squared and the -test
• [stat.ML]Asymptotic Supervised Predictive Classifiers under Partition Exchangeability
• [stat.ML]CDSM — Casual Inference using Deep Bayesian Dynamic Survival Models
• [stat.ML]Dynamic prediction of time to event with survival curves
• [stat.ML]Iterative Weak Learnability and Multi-Class AdaBoost
• [stat.ML]Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
• [stat.ML]Short-term prediction of Time Series based on bounding techniques
·····································
• [astro-ph.EP]Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks
Greg Olmschenk, Stela Ishitani Silva, Gioia Rau, Richard K. Barry, Ethan Kruse, Luca Cacciapuoti, Veselin Kostov, Brian P. Powell, Edward Wyrwas, Jeremy D. Schnittman, Thomas Barclay
http://arxiv.org/abs/2101.10919v1
• [cs.AI]How do some Bayesian Network machine learned graphs compare to causal knowledge?
Anthony C. Constantinou, Norman Fenton, Martin Neil
http://arxiv.org/abs/2101.10461v1
• [cs.AI]Investment vs. reward in a competitive knapsack problem
Oren Neumann, Claudius Gros
http://arxiv.org/abs/2101.10964v1
• [cs.AI]On the Evaluation of Vision-and-Language Navigation Instructions
Ming Zhao, Peter Anderson, Vihan Jain, Su Wang, Alexander Ku, Jason Baldridge, Eugene Ie
http://arxiv.org/abs/2101.10504v1
• [cs.AI]Ordinal Monte Carlo Tree Search
Tobias Joppen, Johannes Fürnkranz
http://arxiv.org/abs/2101.10670v1
• [cs.AI]Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP
Giulia Francescutto, Konstantin Schekotihin, Mohammed M. S. El-Kholany
http://arxiv.org/abs/2101.10162v2
• [cs.AI]Towards Entity Alignment in the Open World: An Unsupervised Approach
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
http://arxiv.org/abs/2101.10535v1
• [cs.CL]“Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space
Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan
http://arxiv.org/abs/2101.10952v1
• [cs.CL]A Digital Corpus of St. Lawrence Island Yupik
Lane Schwartz, Emily Chen, Hyunji Hayley Park, Edward Jahn, Sylvia L. R. Schreiner
http://arxiv.org/abs/2101.10496v1
• [cs.CL]Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks
Hyunjin Choi, Judong Kim, Seongho Joe, Seungjai Min, Youngjune Gwon
http://arxiv.org/abs/2101.10649v1
• [cs.CL]Attention Can Reflect Syntactic Structure (If You Let It)
Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, Joakim Nivre
http://arxiv.org/abs/2101.10927v1
• [cs.CL]Belief-based Generation of Argumentative Claims
Milad Alshomary, Wei-Fan Chen, Timon Gurcke, Henning Wachsmuth
http://arxiv.org/abs/2101.09765v2
• [cs.CL]Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings
Katharina Kann, Mauro M. Monsalve-Mercado
http://arxiv.org/abs/2101.10565v1
• [cs.CL]Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen
http://arxiv.org/abs/2101.10717v1
• [cs.CL]El Volumen Louder Por Favor: Code-switching in Task-oriented SemanticParsing
Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda, Anuj Kumar, Sonal Gupta
http://arxiv.org/abs/2101.10524v1
• [cs.CL]English Machine Reading Comprehension Datasets: A Survey
Daria Dzendzik, Carl Vogel, Jennifer Foster
http://arxiv.org/abs/2101.10421v1
• [cs.CL]Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks
Hyunjin Choi, Judong Kim, Seongho Joe, Youngjune Gwon
http://arxiv.org/abs/2101.10642v1
• [cs.CL]Exploring Transitivity in Neural NLI Models through Veridicality
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
http://arxiv.org/abs/2101.10713v1
• [cs.CL]Few-Shot Semantic Parsing for New Predicates
Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari
http://arxiv.org/abs/2101.10708v1
• [cs.CL]Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
Kuan-Hao Huang, Kai-Wei Chang
http://arxiv.org/abs/2101.10579v1
• [cs.CL]I Beg to Differ: A study of constructive disagreement in online conversations
Christine de Kock, Andreas Vlachos
http://arxiv.org/abs/2101.10917v1
• [cs.CL]Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology
Sunil Mohan, Rico Angell, Nick Monath, Andrew McCallum
http://arxiv.org/abs/2101.10587v1
• [cs.CL]Meta-Learning for Effective Multi-task and Multilingual Modelling
Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi
http://arxiv.org/abs/2101.10368v1
• [cs.CL]Neural machine translation, corpus and frugality
Raoul Blin
http://arxiv.org/abs/2101.10650v1
• [cs.CL]PolyLM: Learning about Polysemy through Language Modeling
Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer
http://arxiv.org/abs/2101.10448v1
• [cs.CL]RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn Penstein Rosé
http://arxiv.org/abs/2101.10545v1
• [cs.CL]Randomized Deep Structured Prediction for Discourse-Level Processing
Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser
http://arxiv.org/abs/2101.10435v1
• [cs.CL]Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations
Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas, Eva Katakalou, Prodromos Malakasiotis
http://arxiv.org/abs/2101.10726v1
• [cs.CL]Representations for Question Answering from Documents with Tables and Text
Vicky Zayats, Kristina Toutanova, Mari Ostendorf
http://arxiv.org/abs/2101.10573v1
• [cs.CL]Spark NLP: Natural Language Understanding at Scale
Veysel Kocaman, David Talby
http://arxiv.org/abs/2101.10848v1
• [cs.CL]Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
http://arxiv.org/abs/2101.09688
972
v1
972
v1)
• [cs.CL]Summarising Historical Text in Modern Languages
Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan
http://arxiv.org/abs/2101.10759v1
• [cs.CL]The Power of Language: Understanding Sentiment Towards the Climate Emergency using Twitter Data
Arman Sarjou
http://arxiv.org/abs/2101.10376v1
• [cs.CR]A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust
Nguyen Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo
http://arxiv.org/abs/2101.10920v1
• [cs.CR]BE-RAN: Blockchain-enabled RAN with Decentralized Identity Management and Privacy-Preserving Communication
Hao Xu, Lei Zhang, Elaine Sun, Chih-Lin I
http://arxiv.org/abs/2101.10856v1
• [cs.CR]Dynamic cyber risk estimation with Competitive Quantile Autoregression
Raisa Dzhamtyrova, Carsten Maple
http://arxiv.org/abs/2101.10893v1
• [cs.CR]How Much Communication Resource is Needed to Run a Wireless Blockchain Network?
Lei Zhang, Hao Xu, Oluwakayode Onireti, Muhammad Ali Imran, Bin Cao
http://arxiv.org/abs/2101.10852v1
• [cs.CR]Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
http://arxiv.org/abs/2101.10578v1
• [cs.CR]Personal Data Access Control Through Distributed Authorization
Mirko Zichichi, Stefano Ferretti, Gabriele D’Angelo, Víctor Rodríguez-Doncel
http://arxiv.org/abs/2101.10464v1
• [cs.CR]Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation
Ranwa Al Mallah, David Lopez, Bilal Farooq
http://arxiv.org/abs/2101.10904v1
• [cs.CV]A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder
Hyeonwoo Yu, Jean Oh
http://arxiv.org/abs/2101.10391v1
• [cs.CV]A metric for evaluating 3D reconstruction and mapping performance with no ground truthing
Guoxiang Zhang, YangQuan Chen
http://arxiv.org/abs/2101.10402v1
• [cs.CV]AINet: Association Implantation for Superpixel Segmentation
Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang
http://arxiv.org/abs/2101.10696v1
• [cs.CV]Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot
Hyeonwoo Yu, Jean Oh
http://arxiv.org/abs/2101.10399v1
• [cs.CV]Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning
Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas Breuel, Gal Chechik, Yale Song
http://arxiv.org/abs/2101.10803v1
• [cs.CV]CPTR: Full Transformer Network for Image Captioning
Wei Liu, Sihan Chen, Longteng Guo, Xinxin Zhu, Jing Liu
http://arxiv.org/abs/2101.10804v1
• [cs.CV]CoMo: A novel co-moving 3D camera system
Andrea Cavagna, Xiao Feng, Stefania Melillo, Leonardo Parisi, Lorena Postiglione, Pablo Villegas
http://arxiv.org/abs/2101.10775v1
• [cs.CV]Consistent Mesh Colors for Multi-View Reconstructed 3D Scenes
Mohamed Dahy Elkhouly, Alessio Del Bue, Stuart James
http://arxiv.org/abs/2101.10734v1
• [cs.CV]Deep Burst Super-Resolution
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2101.10997v1
• [cs.CV]Deep Learning for Scene Classification: A Survey
Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu
http://arxiv.org/abs/2101.10531v1
• [cs.CV]DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Yiming Luo, Zhenxing Mi, Wenbing Tao
http://arxiv.org/abs/2101.10353v1
• [cs.CV]Developing emotion recognition for video conference software to support people with autism
Marc Franzen, Michael Stephan Gresser, Tobias Müller, Prof. Dr. Sebastian Mauser
http://arxiv.org/abs/2101.10785v1
• [cs.CV]Ear Recognition
Nikolaos Athanasios Anagnostopoulos
http://arxiv.org/abs/2101.10540v1
• [cs.CV]Ensembling complex network ‘perspectives’ for mild cognitive impairment detection with artificial neural networks
Eufemia Lella, Gennaro Vessio
http://arxiv.org/abs/2101.10629v1
• [cs.CV]Generic Event Boundary Detection: A Benchmark for Event Segmentation
Mike Zheng Shou, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli
http://arxiv.org/abs/2101.10511v1
• [cs.CV]Global-Local Propagation Network for RGB-D Semantic Segmentation
Sihan Chen, Xinxin Zhu, Wei Liu, Xingjian He, Jing Liu
http://arxiv.org/abs/2101.10801v1
• [cs.CV]Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang
http://arxiv.org/abs/2101.10620v1
• [cs.CV]HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang
http://arxiv.org/abs/2101.10897v1
• [cs.CV]How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh Iyer, Ganesh Ramakrishnan
http://arxiv.org/abs/2101.10514v1
• [cs.CV]Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan
http://arxiv.org/abs/2101.10532v1
• [cs.CV]Indoor Group Activity Recognition using Multi-Layered HMMs
Vinayak Elangovan
http://arxiv.org/abs/2101.10857v1
• [cs.CV]Introducing and assessing the explainable AI (XAI)method: SIDU
Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund
http://arxiv.org/abs/2101.10710v1
• [cs.CV]Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
http://arxiv.org/abs/2101.10562v1
• [cs.CV]Joint Forecasting of Features and Feature Motion for Dense Semantic Future Prediction
Josip Šarić, Sacha Vražić, Siniša Šegvić
http://arxiv.org/abs/2101.10777v1
• [cs.CV]LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view
Mohamed Dahy Elkhouly, Theodore Tsesmelis, Alessio Del Bue, Stuart James
http://arxiv.org/abs/2101.10772v1
• [cs.CV]Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising
Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang
http://arxiv.org/abs/2101.10760v1
• [cs.CV]Lightweight Multi-Branch Network for Person Re-Identification
Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll
http://arxiv.org/abs/2101.10774v1
• [cs.CV]Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler
http://arxiv.org/abs/2101.10994v1
• [cs.CV]Nondiscriminatory Treatment: a straightforward framework for multi-human parsing
Min Yan, Guoshan Zhang, Tong Zhang, Yueming Zhang
http://arxiv.org/abs/2101.10913v1
• [cs.CV]Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution
Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo
http://arxiv.org/abs/2101.10200v2
• [cs.CV]Probability Trajectory: One New Movement Description for Trajectory Prediction
Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou, Mingliang Xu
http://arxiv.org/abs/2101.10595v1
• [cs.CV]Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen
http://arxiv.org/abs/2101.10979v1
• [cs.CV]RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content
Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
http://arxiv.org/abs/2101.10955v1
• [cs.CV]Real-time Non-line-of-sight Imaging with Two-step Deep Remapping
Dayu Zhu, Wenshan Cai
http://arxiv.org/abs/2101.10492v1
• [cs.CV]ResLT: Residual Learning for Long-tailed Recognition
Jiequan Cui, Shu Liu, Zhuotao Tian, Jiaya Jia
http://arxiv.org/abs/2101.10633v1
• [cs.CV]Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang
http://arxiv.org/abs/2101.10832v1
• [cs.CV]Self Sparse Generative Adversarial Networks
Wenliang Qian, Yang Xu, Wangmeng Zuo, Hui Li
http://arxiv.org/abs/2101.10556v1
• [cs.CV]Semi-synthesis: A fast way to produce effective datasets for stereo matching
Ju He, Enyu Zhou, Liusheng Sun, Fei Lei, Chenyang Liu, Wenxiu Sun
http://arxiv.org/abs/2101.10811v1
• [cs.CV]SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau
http://arxiv.org/abs/2101.10586v1
• [cs.CV]Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models
Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward
http://arxiv.org/abs/2101.10747v1
• [cs.CV]White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content
Thamar Solorio, Mahsa Shafaei, Christos Smailis, Mona Diab, Theodore Giannakopoulos, Heng Ji, Yang Liu, Rada Mihalcea, Smaranda Muresan, Ioannis Kakadiaris
http://arxiv.org/abs/2101.10894v1
• [cs.CY]Violent Crime in London: An Investigation using Geographically Weighted Regression
Arman Sarjou
http://arxiv.org/abs/2101.10388v1
• [cs.DC]Cloud, Fog or Edge: Where to Compute?
Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner, Radu Prodan
http://arxiv.org/abs/2101.10417v1
• [cs.DC]RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
An Zou, Jing Li, Christopher D. Gill, Xuan Zhang
http://arxiv.org/abs/2101.10463v1
• [cs.DC]Towards a Staging Environment for the Internet of Things
Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, Lauritz Thamsen
http://arxiv.org/abs/2101.10697v1
• [cs.DS]Sampling a Near Neighbor in High Dimensions — Who is the Fairest of Them All?
Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri
http://arxiv.org/abs/2101.10905v1
• [cs.GT]Data sharing games
Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas
http://arxiv.org/abs/2101.10721v1
• [cs.HC]Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms
Samantha Robertson, Tonya Nguyen, Niloufar Salehi
http://arxiv.org/abs/2101.10367v1
• [cs.HC]Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots
Shengchen Zhang, Zixuan Wang, Chaoran Chen, Yi Dai, Lyumanshan Ye, Xiaohua Sun
http://arxiv.org/abs/2101.10602v1
• [cs.IR]Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
http://arxiv.org/abs/2101.09459v2
• [cs.IR]Cloud-based traffic data fusion for situation evaluation of handover scenarios
Andreas Otte, Jens Staub, Jonas Vogt, Horst Wieker
http://arxiv.org/abs/2101.10912v1
• [cs.IR]Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
Anastasiia Kornilova, Lucas Bernardi
http://arxiv.org/abs/2101.10737v1
• [cs.IT]-Information-theoretic Privacy Watchdog and Optimal Privatization Scheme
Ni Ding, Mohammad Amin Zarrabian, Parastoo Sadeghi
http://arxiv.org/abs/2101.10551v1
• [cs.IT]A Linear Reduction Method for Local Differential Privacy and Log-lift
Ni Ding, Yucheng Liu, Farhad Farokhi
http://arxiv.org/abs/2101.09689v2
• [cs.IT]Channel Matching: An Adaptive Technique to Increase the Accuracy of Soft Decisions
Reza Rafie Borujeny, Frank R. Kschischang
http://arxiv.org/abs/2101.10677v1
• [cs.IT]Classical simulations of communication channels
Péter E. Frenkel
http://arxiv.org/abs/2101.10985v1
• [cs.IT]DNC-Aided SCL-Flip Decoding of Polar Codes
Yaoyu Tao, Zhengya Zhang
http://arxiv.org/abs/2101.10498v1
• [cs.IT]Enhanced Normalized Conjugate Beamforming for Cell-Free Massive MIMO
Giovanni Interdonato, Hien Quoc Ngo, Erik G. Larsson
http://arxiv.org/abs/2101.10363v1
• [cs.IT]Interference Alignment Using Reaction in Molecular Interference Channels
Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari
http://arxiv.org/abs/2101.10745v1
• [cs.IT]New upper bounds for #card=math&code=%28b%2Ck%29)-hashing
Stefano Della Fiore, Simone Costa, Marco Dalai
http://arxiv.org/abs/2101.10916v1
• [cs.IT]On -differential uniformity of ternary APN power functions
Haode Yan
http://arxiv.org/abs/2101.10543v1
• [cs.IT]On the Performance of Spectrum Sharing Backscatter Communication Systems
Yazan H. Al-Badarneh, Ahmed Elzanaty, Mohamed-Slim Alouini
http://arxiv.org/abs/2101.10757v1
• [cs.IT]Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems
Jun Xu, Xiaodong Wang, Pengcheng Zhu, Xiaohu You
http://arxiv.org/abs/2101.10703v1
• [cs.IT]Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS
Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Chang Liu, Derrick Wing Kwan Ng, Jinhong Yuan
http://arxiv.org/abs/2101.10549v1
• [cs.IT]Zero-rate reliability function for mismatched decoding
Marco Bondaschi, Albert Guillén i Fàbregas, Marco Dalai
http://arxiv.org/abs/2101.10238v2
• [cs.LG]A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
http://arxiv.org/abs/2101.10553v1
• [cs.LG]A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang
http://arxiv.org/abs/2101.09300v2
• [cs.LG]A Unified Paths Perspective for Pruning at Initialization
Thomas Gebhart, Udit Saxena, Paul Schrater
http://arxiv.org/abs/2101.10552v1
• [cs.LG]A fast algorithm for complex discord searches in time series: HOT SAX Time
Paolo Avogadro, Matteo Alessandro Dominoni
http://arxiv.org/abs/2101.10698v1
• [cs.LG]Adversarial Vulnerability of Active Transfer Learning
Nicolas M. Müller, Konstantin Böttinger
http://arxiv.org/abs/2101.10792v1
• [cs.LG]An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
http://arxiv.org/abs/2101.10761v1
• [cs.LG]An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang
http://arxiv.org/abs/2101.09438v2
• [cs.LG]Appliance Operation Modes Identification Using Cycles Clustering
Abdelkareem Jaradat, Hanan Lutfiyya, Anwar Haque
http://arxiv.org/abs/2101.10472v1
• [cs.LG]Benchmarking Invertible Architectures on Inverse Problems
Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
http://arxiv.org/abs/2101.10763v1
• [cs.LG]Curriculum Learning: A Survey
Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe
http://arxiv.org/abs/2101.10382v1
• [cs.LG]Deep Learning-Based Autoencoder for Data-Driven Modeling of an RF Photoinjector
Jun Zhu, Ye Chen, Frank Brinker, Winfried Decking, Sergey Tomin, Holger Schlarb
http://arxiv.org/abs/2101.10437v1
• [cs.LG]Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison
Lukas Brunke, Prateek Agrawal, Nikhil George
http://arxiv.org/abs/2101.10977v1
• [cs.LG]Finding hidden-feature depending laws inside a data set and classifying it using Neural Network
Thilo Moshagen, Nihal Acharya Adde, Ajay Navilarekal Rajgopal
http://arxiv.org/abs/2101.10427v1
• [cs.LG]Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm
Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
http://arxiv.org/abs/2101.10506v1
• [cs.LG]Hyper-optimization with Gaussian Process and Differential Evolution Algorithm
Jakub Klus, Pavel Grunt, Martin Dobrovolný
http://arxiv.org/abs/2101.10625v1
• [cs.LG]Incremental Search Space Construction for Machine Learning Pipeline Synthesis
Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber
http://arxiv.org/abs/2101.10951v1
• [cs.LG]Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification
Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp, Floor Meewis, Amparo C. Koot, Heysem Kaya
http://arxiv.org/abs/2101.10390v1
• [cs.LG]Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
Fabio Ferreira, Thomas Nierhoff, Frank Hutter
http://arxiv.org/abs/2101.09721v2
• [cs.LG]Model-agnostic interpretation by visualization of feature perturbations
Wilson E. Marcílio-Jr, Wilson E. Marcílio-Jr, Fabrício Breve
http://arxiv.org/abs/2101.10502v1
• [cs.LG]Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
Yurim Lee, Eunji Jun, Heung-Il Suk
http://arxiv.org/abs/2101.09986v2
• [cs.LG]Online Continual Learning in Image Classification: An Empirical Survey
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
http://arxiv.org/abs/2101.10423v1
• [cs.LG]Online and Scalable Model Selection with Multi-Armed Bandits
Jiayi Xie, Michael Tashman, John Hoffman, Lee Winikor, Rouzbeh Gerami
http://arxiv.org/abs/2101.10385v1
• [cs.LG]SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
Hyun-Suk Lee, Cong Shen, William Zame, Jang-Won Lee, Mihaela van der Schaar
http://arxiv.org/abs/2101.10998v1
• [cs.LG]Spectrum Attention Mechanism for Time Series Classification
Shibo Zhou, Yu Pan
http://arxiv.org/abs/2101.10420v1
• [cs.LG]Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
Nam Nguyen, Brian Quanz
http://arxiv.org/abs/2101.10460v1
• [cs.LG]The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards
Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange
http://arxiv.org/abs/2101.10790v1
• [cs.LG]Transparent Contribution Evaluation for Secure Federated Learning on Blockchain
Shuaicheng Ma, Yang Cao, Li Xiong
http://arxiv.org/abs/2101.10572v1
• [cs.LG]Unsupervised clustering of series using dynamic programming and neural processes
Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret
http://arxiv.org/abs/2101.10983v1
• [cs.LG]Variational Information Bottleneck Model for Accurate Indoor Position Recognition
Weizhu Qian, Franck Gechter
http://arxiv.org/abs/2101.10655v1
• [cs.LO]Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits
Paul Wilson, Fabio Zanasi
http://arxiv.org/abs/2101.10488v1
• [cs.MM]Efficient video integrity analysis through container characterization
Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, Alessandro Piva
http://arxiv.org/abs/2101.10795v1
• [cs.MS]Accelerated Polynomial Evaluation and Differentiation at Power Series in Multiple Double Precision
Jan Verschelde
http://arxiv.org/abs/2101.10881v1
• [cs.NE]A Study of the Fundamental Parameters of Particle Swarm Optimizers
Mauro S. Innocente, Johann Sienz
http://arxiv.org/abs/2101.10326v1
• [cs.NE]Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems
Carwyn Pelley, Mauro S. Innocente, Johann Sienz
http://arxiv.org/abs/2101.10936v1
• [cs.NE]Constraint-Handling Techniques for Particle Swarm Optimization Algorithms
Mauro S. Innocente, Johann Sienz
http://arxiv.org/abs/2101.10933v1
• [cs.NE]Cyber Kittens, or Some First Steps Towards Categorical Cybernetics
Toby St Clere Smithe
http://arxiv.org/abs/2101.10483v1
• [cs.NE]Numerical Comparison of Neighbourhood Topologies in Particle Swarm Optimization
Mauro S. Innocente, Johann Sienz
http://arxiv.org/abs/2101.10935v1
• [cs.NE]Population-Based Methods: PARTICLE SWARM OPTIMIZATION — Development of a General-Purpose Optimizer and Applications
Mauro S. Innocente
http://arxiv.org/abs/2101.10901v1
• [cs.RO]A Compositional Sheaf-Theoretic Framework for Event-Based Systems
Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli
http://arxiv.org/abs/2101.10485v1
• [cs.RO]ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks
Viet-Anh Le, Linh Nguyen, Truong X. Nghiem
http://arxiv.org/abs/2101.10500v1
• [cs.RO]Continual Learning of Visual Concepts for Robots through Limited Supervision
Ali Ayub, Alan R. Wagner
http://arxiv.org/abs/2101.10509v1
• [cs.RO]Design, analysis and control of the series-parallel hybrid RH5 humanoid robot
Julian Esser, Shivesh Kumar, Heiner Peters, Vinzenz Bargsten, Jose de Gea Fernandez, Carlos Mastalli, Olivier Stasse, Frank Kirchner
http://arxiv.org/abs/2101.10591v1
• [cs.RO]Impact of Explanation on Trust of a Novel Mobile Robot
Stephanie Rosenthal, Elizabeth J. Carter
http://arxiv.org/abs/2101.10813v1
• [cs.RO]Learning to falsify automated driving vehicles with prior knowledge
Andrea Favrin, Vladislav Nenchev, Angelo Cenedese
http://arxiv.org/abs/2101.10377v1
• [cs.RO]Online Body Schema Adaptation through Cost-Sensitive Active Learning
Gonçalo Cunha, Pedro Vicente, Alexandre Bernardino, Ricardo Ribeiro, Plínio Moreno
http://arxiv.org/abs/2101.10892v1
• [cs.RO]Persistent Covering of a Graph under Latency and Energy Constraints
Jyh-Ming Lien, Sam Rodriguez, Marco Morales
http://arxiv.org/abs/2101.10438v1
• [cs.RO]The GRIFFIN Perception Dataset: Bridging the Gap Between Flapping-Wing Flight and Robotic Perception
J. P. Rodríguez-Gómez, R. Tapia, J. L. Paneque, P. Grau, A. Gómez Eguíluz, J. R. Martínez-de Dios, A. Ollero
http://arxiv.org/abs/2101.10371v1
• [cs.RO]Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism
Zhonghao Shi, Thomas R Groechel, Shomik Jain, Kourtney Chima, Ognjen, Rudovic, Maja J Matarić
http://arxiv.org/abs/2101.10580v1
• [cs.RO]Transparency in Multi-Human Multi-Robot Interaction
Jayam Patel, Tyagaraja Ramaswamy, Zhi Li, Carlo Pinciroli
http://arxiv.org/abs/2101.10495v1
• [cs.RO]When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions
Wenxuan Mou, Martina Ruocco, Debora Zanatto, Angelo Cangelosi
http://arxiv.org/abs/2101.10819v1
• [cs.RO]droidlet: modular, heterogenous, multi-modal agents
Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam
http://arxiv.org/abs/2101.10384v1
• [cs.SI]A Behavioural Analysis of Credulous Twitter Users
Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani
http://arxiv.org/abs/2101.10782v1
• [cs.SI]Lexical Sorting Centrality to Distinguish Spreading Abilities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model
Aybike Simsek
http://arxiv.org/abs/2101.10975v1
• [cs.SI]Spreading dynamics of a 2SIH2R, rumor spreading model in the homogeneous network
Yan Wang, Feng Qing, Jian-Ping Chai, Ye-Peng Ni
http://arxiv.org/abs/2101.10731v1
• [cs.SI]Strategic Evasion of Centrality Measures
Marcin Waniek, Jan Woźnica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz Michalak
http://arxiv.org/abs/2101.10648v1
• [econ.EM]Real-Time Fixed-Target Statistical Prediction of Arctic Sea Ice Extent
Francis X. Diebold, Maximilian Gobel
http://arxiv.org/abs/2101.10359v1
• [eess.IV]A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
Rupal Agravat, Mehul S Raval
http://arxiv.org/abs/2101.10599v1
• [eess.IV]Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders
Rasika Karkare, Randy Paffenroth, Gunjan Mahindre
http://arxiv.org/abs/2101.10876v1
• [eess.IV]Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans
Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu
http://arxiv.org/abs/2101.10667v1
• [eess.IV]Glioblastoma Multiforme Patient Survival Prediction
Snehal Rajput, Rupal Agravat, Mohendra Roy, Mehul S Raval
http://arxiv.org/abs/2101.10589v1
• [eess.IV]ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
Xiaowei Xu, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Jianzheng Cen, Qianjun Jia, Yuhao Dong, Yiyu Shi
http://arxiv.org/abs/2101.10799v1
• [eess.IV]Learning-Based Patch-Wise Metal Segmentation with Consistency Check
Tristan M. Gottschalk, Andreas Maier, Florian Kordon, Björn W. Kreher
http://arxiv.org/abs/2101.10914v1
• [eess.IV]Leveraging 3D Information in Unsupervised Brain MRI Segmentation
Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
http://arxiv.org/abs/2101.10674v1
• [eess.IV]Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views
Cagri Ozcinar, Aakanksha Rana
http://arxiv.org/abs/2101.10396v1
• [eess.SP]Artificial Intelligence for Satellite Communication: A Review
Fares Fourati, Mohamed-Slim Alouini
http://arxiv.org/abs/2101.10899v1
• [eess.SP]Semi-supervised source localization in reverberant environments with deep generative modeling
Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft
http://arxiv.org/abs/2101.10636v1
• [eess.SY]Learning-‘N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme
Alëna Rodionova, Yash Vardhan Pant, Connor Kurtz, Kuk Jang, Houssam Abbas, Rahul Mangharam
http://arxiv.org/abs/2101.10404v1
• [eess.SY]Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents
Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch
http://arxiv.org/abs/2101.10430v1
• [math.CT]Symmetric Monoidal Categories with Attributes
Spencer Breiner, John S. Nolan
http://arxiv.org/abs/2101.10480v1
• [math.DS]Probability distributions for analog-to-target distances
Paul Platzer, Pascal Yiou, Philippe Naveau, Jean-François Filipot, Maxime Thiebaut, Pierre Tandeo
http://arxiv.org/abs/2101.10640v1
• [math.MG]Poncelet Propellers: Invariant Total Blade Area
Dominique Laurain, Daniel Jaud, Dan Reznik
http://arxiv.org/abs/2101.10456v1
• [math.OC]Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
http://arxiv.org/abs/2101.10967v1
• [math.ST]Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration
Song Mei, Theodor Misiakiewicz, Andrea Montanari
http://arxiv.org/abs/2101.10588v1
• [math.ST]Inferring serial correlation with dynamic backgrounds
Song Wei, Yao Xie, Dobromir Rahnev
http://arxiv.org/abs/2101.10962v1
• [math.ST]On the distributions of some statistics related to adaptive filters trained with -distributed samples
Olivier Besson
http://arxiv.org/abs/2101.10609v1
• [math.ST]Optimal convergence rates for the invariant density estimation of jump-diffusion processes
Chiara Amorino, Eulalia Nualart
http://arxiv.org/abs/2101.08548v2
• [math.ST]Statistical models and probabilistic methods on Riemannian manifolds
Salem Said
http://arxiv.org/abs/2101.10855v1
• [math.ST]Tensor denoising with trend filtering
Francesco Ortelli, Sara van de Geer
http://arxiv.org/abs/2101.10692v1
• [math.ST]Testing for subsphericity when and
are of different asymptotic order
Joni Virta
http://arxiv.org/abs/2101.09711v2
• [math.ST]The Langevin Monte Carlo algorithm in the non-smooth log-concave case
Joseph Lehec
http://arxiv.org/abs/2101.10695v1
• [q-bio.BM]Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
Muyuan Chen, Steven Ludtke
http://arxiv.org/abs/2101.10356v1
• [q-bio.GN]essHi-C: Essential component analysis of Hi-C matrices
Stefano Franzini, Marco Di Stefano, Cristian Micheletti
http://arxiv.org/abs/2101.10645v1
• [q-bio.NC]Predicting the future with a scale-invariant temporal memory for the past
Wei Zhong Goh, Varun Ursekar, Marc W. Howard
http://arxiv.org/abs/2101.10953v1
• [q-bio.QM]pdfPapers: shell-script utilities for frequency-based multi-word phrase extraction from PDF documents
Pavel Loskot
http://arxiv.org/abs/2101.10554v1
• [quant-ph]Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
Daniela A. Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
http://arxiv.org/abs/2101.10657v1
• [stat.AP]A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19
Francisco Corona, Graciela González-Farías, Jesús López-Pérez
http://arxiv.org/abs/2101.10383v1
• [stat.AP]Applications of Clustering with Mixed Type Data in Life Insurance
Shuang Yin, Guojun Gan, Emiliano A. Valdez, Jeyaraj Vadiveloo
http://arxiv.org/abs/2101.10896v1
• [stat.AP]Asymmetric Tobit analysis for correlation estimation from censored data
HongYuan Cao, Tsuyoshi Kato
http://arxiv.org/abs/2101.10853v1
• [stat.AP]Testing Rank of Incomplete Unimodal Matrices
Rui Zhang, Junting Chen, Yao Xie, Alexander Shapiro, Urbashi Mitra
http://arxiv.org/abs/2101.10515v1
• [stat.AP]The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons
Hans Van Eetvelde, Lars Magnus Hvattum, Christophe Ley
http://arxiv.org/abs/2101.10597v1
• [stat.ME]A regression framework for a probabilistic measure of cost-effectiveness
Nicholas Illenberger, Nandita Mitra, Andrew J. Spieker
http://arxiv.org/abs/2101.10466v1
• [stat.ME]Identifying Interpretable Discrete Latent Structures from Discrete Data
Yuqi Gu, David B. Dunson
http://arxiv.org/abs/2101.10373v1
• [stat.ME]Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient -estimator of the shape matrix
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
http://arxiv.org/abs/2101.10671v1
• [stat.ME]Regression Models for Order-of-Addition Experiments
Hans-Peter Piepho, Emlyn R. Williams
http://arxiv.org/abs/2101.10769v1
• [stat.ME]USP: an independence test that improves on Pearson’s chi-squared and the -test
Thomas B. Berrett, Richard J. Samworth
http://arxiv.org/abs/2101.10880v1
• [stat.ML]Asymptotic Supervised Predictive Classifiers under Partition Exchangeability
Ali Amiryousefi
http://arxiv.org/abs/2101.10950v1
• [stat.ML]CDSM — Casual Inference using Deep Bayesian Dynamic Survival Models
Jie Zhu, Blanca Gallego
http://arxiv.org/abs/2101.10643v1
• [stat.ML]Dynamic prediction of time to event with survival curves
Jie Zhu, Blanca Gallego
http://arxiv.org/abs/2101.10739v1
• [stat.ML]Iterative Weak Learnability and Multi-Class AdaBoost
In-Koo Cho, Jonathan Libgober
http://arxiv.org/abs/2101.10542v1
• [stat.ML]Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
Alicia Curth, Mihaela van der Schaar
http://arxiv.org/abs/2101.10943v1
• [stat.ML]Short-term prediction of Time Series based on bounding techniques
Pedro Cadahía, Jose Manuel Bravo Caro
http://arxiv.org/abs/2101.10719v1
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