astro-ph.IM - 仪器仪表和天体物理学方法
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.DL - 数字图书馆
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.MM - 多媒体
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]Spatially constrained direction dependent calibration
• [cs.AI]Extending Environments To Measure Self-Reflection In Reinforcement Learning
• [cs.AI]Feudal Reinforcement Learning by Reading Manuals
• [cs.AI]NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
• [cs.AI]Program Transfer and Ontology Awareness for Semantic Parsing in KBQA
• [cs.AI]Safe Driving via Expert Guided Policy Optimization
• [cs.AI]Scalable Anytime Algorithms for Learning Formulas in Linear Temporal Logic
• [cs.CL]A Speaker-Aware Learning Framework for Improving Multi-turn Dialogue Coherence
• [cs.CL]ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality
• [cs.CL]ActiveEA: Active Learning for Neural Entity Alignment
• [cs.CL]Attention-guided Generative Models for Extractive Question Answering
• [cs.CL]Audio-Visual Scene-Aware Dialog and Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning
• [cs.CL]AutoNLU: Detecting, root-causing, and fixing NLU model errors
• [cs.CL]Automated Essay Scoring Using Transformer Models
• [cs.CL]Compositional Generalization in Dependency Parsing
• [cs.CL]ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers
• [cs.CL]Cross-lingual COVID-19 Fake News Detection
• [cs.CL]Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model
• [cs.CL]Dict-BERT: Enhancing Language Model Pre-training with Dictionary
• [cs.CL]Efficient domain adaptation of language models in ASR systems using Prompt-tuning
• [cs.CL]EventBERT: A Pre-Trained Model for Event Correlation Reasoning
• [cs.CL]Exploring Dense Retrieval for Dialogue Response Selection
• [cs.CL]Fake News Detection in Spanish Using Deep Learning Techniques
• [cs.CL]Federated Natural Language Generation for Personalized Dialogue System
• [cs.CL]HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
• [cs.CL]Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
• [cs.CL]Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI
• [cs.CL]LaoPLM: Pre-trained Language Models for Lao
• [cs.CL]Learning Compact Metrics for MT
• [cs.CL]LiST: Lite Self-training Makes Efficient Few-shot Learners
• [cs.CL]MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
• [cs.CL]MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators
• [cs.CL]Masader: Metadata Sourcing for Arabic Text and Speech Data Resources
• [cs.CL]Maximizing Efficiency of Language Model Pre-training for Learning Representation
• [cs.CL]Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
• [cs.CL]Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects
• [cs.CL]On Language Model Integration for RNN Transducer based Speech Recognition
• [cs.CL]Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias
• [cs.CL]Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks
• [cs.CL]SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
• [cs.CL]SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
• [cs.CL]Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
• [cs.CL]Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
• [cs.CL]Semantics-aware Attention Improves Neural Machine Translation
• [cs.CL]Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
• [cs.CL]Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning
• [cs.CL]Speech Summarization using Restricted Self-Attention
• [cs.CL]Systematic Inequalities in Language Technology Performance across the World’s Languages
• [cs.CL]Teaching Models new APIs: Domain-Agnostic Simulators for Task Oriented Dialogue
• [cs.CL]Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
• [cs.CL]Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
• [cs.CL]The Dawn of Quantum Natural Language Processing
• [cs.CL]Time Masking for Temporal Language Models
• [cs.CR]Offset-Symmetric Gaussians for Differential Privacy
• [cs.CR]State of Security and Privacy Practices of Top Websites in the East African Community (EAC)
• [cs.CR]Traceback of Data Poisoning Attacks in Neural Networks
• [cs.CV]A Review on Human Pose Estimation
• [cs.CV]A Survey of Open Source User Activity Traces with Applications to User Mobility Characterization and Modeling
• [cs.CV]ADOP: Approximate Differentiable One-Pixel Point Rendering
• [cs.CV]Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
• [cs.CV]Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
• [cs.CV]ByteTrack: Multi-Object Tracking by Associating Every Detection Box
• [cs.CV]CLIP4Caption: CLIP for Video Caption
• [cs.CV]CONetV2: Efficient Auto-Channel Size Optimization for CNNs
• [cs.CV]Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization
• [cs.CV]Color Counting for Fashion, Art, and Design
• [cs.CV]DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
• [cs.CV]Deep Superpixel-based Network for Blind Image Quality Assessment
• [cs.CV]DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
• [cs.CV]Detecting Slag Formations with Deep Convolutional Neural Networks
• [cs.CV]Domain Adaptive Semantic Segmentation without Source Data
• [cs.CV]EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation
• [cs.CV]Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning
• [cs.CV]Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
• [cs.CV]Harnessing the
f9b
Conditioning Sensorium for Improved Image Translation
• [cs.CV]Hyperspectral 3D Mapping of Underwater Environments
• [cs.CV]Improving Users’ Mental Model with Attention-directed Counterfactual Edits
• [cs.CV]LENS: Localization enhanced by NeRF synthesis
• [cs.CV]Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
• [cs.CV]Learning Meta Pattern for Face Anti-Spoofing
• [cs.CV]Life is not black and white — Combining Semi-Supervised Learning with fuzzy labels
• [cs.CV]Localized Persistent Homologies for more Effective Deep Learning
• [cs.CV]MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants
• [cs.CV]MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
• [cs.CV]Non-local Recurrent Regularization Networks for Multi-view Stereo
• [cs.CV]Object DGCNN: 3D Object Detection using Dynamic Graphs
• [cs.CV]Object-Region Video Transformers
• [cs.CV]Optical-Flow-Reuse-Based Bidirectional Recurrent Network for Space-Time Video Super-Resolution
• [cs.CV]Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
• [cs.CV]Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation
• [cs.CV]Real Image Inversion via Segments
• [cs.CV]Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
• [cs.CV]Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
• [cs.CV]RelationRS: Relationship Representation Network for Object Detection in Aerial Images
• [cs.CV]Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
• [cs.CV]Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
• [cs.CV]Semantic Image Fusion
• [cs.CV]THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
• [cs.CV]The Computerized Classification of Micro-Motions in the Hand using Waveforms from Mobile Phone
• [cs.CV]Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
• [cs.CV]Understanding of Emotion Perception from Art
• [cs.CV]Unsupervised Object Learning via Common Fate
• [cs.CV]Unsupervised Representation Learning for 3D Point Cloud Data
• [cs.CV]Updating Street Maps using Changes Detected in Satellite Imagery
• [cs.CV]Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks
• [cs.CV]Winning the ICCV’2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts
• [cs.CY]”I need a better description’’: An Investigation Into User Expectations For Differential Privacy
• [cs.CY]Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength
• [cs.CY]Recent trends in Social Engineering Scams and Case study of Gift Card Scam
• [cs.CY]Truthful AI: Developing and governing AI that does not lie
• [cs.DC]Architecture of a Junkyard Datacenter
• [cs.DC]Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study
• [cs.DC]Efficient Linearizability Checking for Actor-based Systems
• [cs.DC]UCX Programming Interface for Remote Function Injection and Invocation
• [cs.DL]Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs
• [cs.HC]Tutorial on Deep Learning for Human Activity Recognition
• [cs.IR]False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation
• [cs.IR]Knowledge Graph-enhanced Sampling for Conversational Recommender System
• [cs.IR]Learning to Select Historical News Articles for Interaction based Neural News Recommendation
• [cs.IR]User Experiences Oriented Sightseeing Spot Recommendation
• [cs.IT]A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces
• [cs.IT]Algebra of Data Reconciliation
• [cs.IT]Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing
• [cs.IT]Joint Optimization of Beam-Hopping Design and NOMA-Assisted Transmission for Flexible Satellite Systems
• [cs.IT]Optimal Beamwidth and Altitude for Maximal Uplink Coverage in Satellite Networks
• [cs.IT]Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments
• [cs.IT]Sub-Terahertz Spatial Statistical MIMO Channel Model for Urban Microcells at 142 GHz
• [cs.LG]A Framework for Verification of Wasserstein Adversarial Robustness
• [cs.LG]A Good Representation Detects Noisy Labels
• [cs.LG]A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
• [cs.LG]Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
• [cs.LG]An Introduction to Automatic Differentiation forMachine Learning
• [cs.LG]Boosting the Certified Robustness of L-infinity Distance Nets
• [cs.LG]Causal discovery from conditionally stationary time-series
• [cs.LG]Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
• [cs.LG]Coupled and Uncoupled Dynamic Mode Decomposition in Multi-Compartmental Systems with Applications to Epidemiological and Additive Manufacturing Problems
• [cs.LG]Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation
• [cs.LG]Decoupled Contrastive Learning
• [cs.LG]Dense Uncertainty Estimation
• [cs.LG]Differentially Private Fine-tuning of Language Models
• [cs.LG]Dropout Prediction Variation Estimation Using Neuron Activation Strength
• [cs.LG]Dynamic Inference with Neural Interpreters
• [cs.LG]Dynamical Wasserstein Barycenters for Time-series Modeling
• [cs.LG]Expert-driven Trace Clustering with Instance-level Constraints
• [cs.LG]Extracting Dynamical Models from Data
• [cs.LG]Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
• [cs.LG]Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning
• [cs.LG]Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
• [cs.LG]Identification of Attack-Specific Signatures in Adversarial Examples
• [cs.LG]Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures: Object Classification
• [cs.LG]Improving the sample-efficiency of neural architecture search with reinforcement learning
• [cs.LG]Incremental Community Detection in Distributed Dynamic Graph
• [cs.LG]Infinitely Divisible Noise in the Low Privacy Regime
• [cs.LG]Learning Stable Koopman Embeddings
• [cs.LG]Leveraging redundancy in attention with Reuse Transformers
• [cs.LG]Molecular Graph Generation via Geometric Scattering
• [cs.LG]Multistage linguistic conditioning of convolutional layers for speech emotion recognition
• [cs.LG]Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
• [cs.LG]Not all noise is accounted equally: How differentially private learning benefits from large sampling rates
• [cs.LG]On Convergence of Training Loss Without Reaching Stationary Points
• [cs.LG]On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
• [cs.LG]On the Parameter Combinations That Matter and on Those That do Not
• [cs.LG]One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal
• [cs.LG]PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
• [cs.LG]PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids
• [cs.LG]Parallel Deep Neural Networks Have Zero Duality Gap
• [cs.LG]Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
• [cs.LG]Real-time Drift Detection on Time-series Data
• [cs.LG]Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework
• [cs.LG]Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
• [cs.LG]Robust Neural Regression via Uncertainty Learning
• [cs.LG]SAR-Net: A Scenario-Aware Ranking Network for PersonalizedFair Recommendation in Hundreds of Travel Scenarios
• [cs.LG]SMS: An Efficient Source Model Selection Framework for Model Reuse
• [cs.LG]Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation
• [cs.LG]TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
• [cs.LG]The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
• [cs.LG]The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
• [cs.LG]The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
• [cs.LG]The deep generative decoder: Using MAP estimates of representations
• [cs.LG]Twice regularized MDPs and the equivalence between robustness and regularization
• [cs.LG]Two-argument activation functions learn soft XOR operations like cortical neurons
• [cs.LG]Vibration-Based Condition Monitoring By Ensemble Deep Learning
• [cs.LG]Well-classified Examples are Underestimated in Classification with Deep Neural Networks
• [cs.LG]What Happens after SGD Reaches Zero Loss? —A Mathematical Framework
• [cs.LG]When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps
• [cs.MA]GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management
• [cs.MA]Towards a fully RL-based Market Simulator
• [cs.MM]NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels
• [cs.NE]A Time Encoding approach to training Spiking Neural Networks
• [cs.NE]A comprehensive review of Binary Neural Network
• [cs.RO]Collaborative Radio SLAM for Multiple Robots based on WiFi Fingerprint Similarity
• [cs.RO]Contact-timing and Trajectory Optimization for 3D Jumping on Quadruped Robots
• [cs.RO]Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties
• [cs.RO]Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication
• [cs.RO]Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card
• [cs.RO]Evaluation of computer networking methods for interaction with remote robotic systems
• [cs.RO]Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty
• [cs.RO]Fully-simulated Integration of Scamp5d Vision System and Robot Simulator
• [cs.RO]Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
• [cs.RO]OPEn: An Open-ended Physics Environment for Learning Without a Task
• [cs.RO]On-line feasible wrench polytope evaluation based on human musculoskeletal models: an iterative convex hull method
• [cs.RO]Online Trajectory Optimization for Dynamic Aerial Motions of a Quadruped Robot
• [cs.RO]Robotic Autonomous Trolley Collection with Progressive Perception and Nonlinear Model Predictive Control
• [cs.RO]Robust Glare Detection: Review, Analysis, and Dataset Release
• [cs.RO]Transformers for EEG Emotion Recognition
• [cs.RO]Trust Calibration and Trust Respect: A Method for Building Team Cohesion in Human Robot Teams
• [cs.RO]Using UAVs for vehicle tracking and collision risk assessment at intersections
• [cs.SD]Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
• [cs.SD]Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
• [cs.SD]EIHW-MTG DiCOVA 2021 Challenge System Report
• [cs.SD]End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network
• [cs.SD]S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech Representations
• [cs.SE]An Overview of Ontologies and Tool Support for COVID-19 Analytics
• [cs.SE]HEDP: A Method for Early Forecasting Software Defects based on Human Error Mechanisms
• [cs.SE]Leveraging Automated Unit Tests for Unsupervised Code Translation
• [cs.SI]Attributed Graph Modeling with Vertex Replacement Grammars
• [cs.SI]CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
• [cs.SI]Diversity of Skills and Collective Intelligence in GitHub
• [cs.SI]SSSNET: Semi-Supervised Signed Network Clustering
• [cs.SI]Unique on Facebook: Formulation and Evidence of (Nano)targeting Individual Users with non-PII Data
• [econ.EM]Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
• [eess.AS]A Melody-Unsupervision Model for Singing Voice Synthesis
• [eess.AS]DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding
• [eess.AS]Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
• [eess.AS]Fine-grained style control in Transformer-based Text-to-speech Synthesis
• [eess.IV]2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T
• [eess.IV]Breaking the Dilemma of Medical Image-to-image Translation
• [eess.IV]CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning
• [eess.IV]CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation
• [eess.IV]Transform and Bitstream Domain Image Classification
• [eess.SP]Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling
• [eess.SP]Dictionary Learning with Convex Update (ROMD)
• [eess.SY]Distributed Kalman Filters for Relative Formation Control of Mobile Agents
• [eess.SY]Stabilizing Dynamical Systems via Policy Gradient Methods
• [math.NA]Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
• [math.NA]The springback penalty for robust signal recovery
• [math.OC]Maximum Entropy Differential Dynamic Programming
• [math.ST]As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing
• [math.ST]Coherence of high-dimensional random matrices in a Gaussian case : application of the Chen-Stein method
• [math.ST]High-Dimensional Varying Coefficient Models with Functional Random Effects
• [math.ST]Minimax extrapolation problem for periodically correlated stochastic sequences with missing observations
• [math.ST]On Permutation Invariant Problems in Large-Scale Inference
• [math.ST]Spectral-norm risk rates for multi-taper estimation of Gaussian processes
• [math.ST]Tangent Space and Dimension Estimation with the Wasserstein Distance
• [quant-ph]Learning ground states of quantum Hamiltonians with graph networks
• [quant-ph]Representing Matrices Using Algebraic ZX-calculus
• [stat.AP]The effect of COVID-19 vaccinations on self-reported depression and anxiety during February 2021
• [stat.ME]A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Binary Classification
• [stat.ME]Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow
• [stat.ME]Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions
• [stat.ME]Joint Functional Gaussian Graphical Models
• [stat.ME]Multiple testing of partial conjunction null hypotheses with conditional -values based on combination test statistics
• [stat.ME]Online network change point detection with missing values
• [stat.ME]Path-Free Decomposition for Direct, Indirect and Interaction Effects in Mediation Analysis
• [stat.ME]Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
• [stat.ML]Averting A Crisis In Simulation-Based Inference
• [stat.ML]Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
• [stat.ML]Clustering-Based Interpretation of Deep ReLU Network
• [stat.ML]Domain Generalization via Domain-based Covariance Minimization
• [stat.ML]Incremental Ensemble Gaussian Processes
• [stat.ML]Logic Constraints to Feature Importances
• [stat.ML]Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
• [stat.ML]Metaparametric Neural Networks for Survival Analysis
• [stat.ML]On the Double Descent of Random Features Models Trained with SGD
• [stat.ML]Reinforcement Learning for Standards Design
• [stat.ML]Sub-Setting Algorithm for Training Data Selection in Pattern Recognition
·····································
• [astro-ph.IM]Spatially constrained direction dependent calibration
Sarod Yatawatta
http://arxiv.org/abs/2110.06780v1
• [cs.AI]Extending Environments To Measure Self-Reflection In Reinforcement Learning
Samuel Allen Alexander, Michael Castaneda, Kevin Compher, Oscar Martinez
http://arxiv.org/abs/2110.06890v1
• [cs.AI]Feudal Reinforcement Learning by Reading Manuals
Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi
http://arxiv.org/abs/2110.06477v1
• [cs.AI]NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Awadallah
http://arxiv.org/abs/2110.06536v1
• [cs.AI]Program Transfer and Ontology Awareness for Semantic Parsing in KBQA
Shulin Cao, Jiaxin Shi, Zijun Yao, Lei Hou, Juanzi Li, Jinghui Xiao
http://arxiv.org/abs/2110.05743v2
• [cs.AI]Safe Driving via Expert Guided Policy Optimization
Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
http://arxiv.org/abs/2110.06831v1
• [cs.AI]Scalable Anytime Algorithms for Learning Formulas in Linear Temporal Logic
Ritam Raha, Rajarshi Roy, Nathanaël Fijalkow, Daniel Neider
http://arxiv.org/abs/2110.06726v1
• [cs.CL]A Speaker-Aware Learning Framework for Improving Multi-turn Dialogue Coherence
Zihao Wang, Ming Jiang, Junli Wang
http://arxiv.org/abs/2110.06823v1
• [cs.CL]ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality
Marianna Apidianaki, Aina Garí Soler
http://arxiv.org/abs/2110.06376v1
• [cs.CL]ActiveEA: Active Learning for Neural Entity Alignment
Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao
http://arxiv.org/abs/2110.06474v1
• [cs.CL]Attention-guided Generative Models for Extractive Question Answering
Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang
http://arxiv.org/abs/2110.06393v1
• [cs.CL]Audio-Visual Scene-Aware Dialog and Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning
Ankit P. Shah, Shijie Geng, Peng Gao, Anoop Cherian, Takaaki Hori, Tim K. Marks, Jonathan Le Roux, Chiori Hori
http://arxiv.org/abs/2110.06894v1
• [cs.CL]AutoNLU: Detecting, root-causing, and fixing NLU model errors
Pooja Sethi, Denis Savenkov, Forough Arabshahi, Jack Goetz, Micaela Tolliver, Nicolas Scheffer, Ilknur Kabul, Yue Liu, Ahmed Aly
http://arxiv.org/abs/2110.06384v1
• [cs.CL]Automated Essay Scoring Using Transformer Models
Sabrina Ludwig, Christian Mayer, Christopher Hansen, Kerstin Eilers, Steffen Brandt
http://arxiv.org/abs/2110.06874v1
• [cs.CL]Compositional Generalization in Dependency Parsing
Emily Goodwin, Siva Reddy, Timothy J. O’Donnell, Dzmitry Bahdanau
http://arxiv.org/abs/2110.06843v1
• [cs.CL]ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers
Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
http://arxiv.org/abs/2110.06884v1
• [cs.CL]Cross-lingual COVID-19 Fake News Detection
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
http://arxiv.org/abs/2110.06495v1
• [cs.CL]Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model
Felix Gervits, Gordon Briggs, Antonio Roque, Genki A. Kadomatsu, Dean Thurston, Matthias Scheutz, Matthew Marge
http://arxiv.org/abs/2110.06288v1
• [cs.CL]Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
http://arxiv.org/abs/2110.06490v1
• [cs.CL]Efficient domain adaptation of language models in ASR systems using Prompt-tuning
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
http://arxiv.org/abs/2110.06502v1
• [cs.CL]EventBERT: A Pre-Trained Model for Event Correlation Reasoning
Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang
http://arxiv.org/abs/2110.06533v1
• [cs.CL]Exploring Dense Retrieval for Dialogue Response Selection
Tian Lan, Deng Cai, Yan Wang, Yixuan Su, Xian-Ling Mao, Heyan Huang
http://arxiv.org/abs/2110.06612v1
• [cs.CL]Fake News Detection in Spanish Using Deep Learning Techniques
Kevin Martínez-Gallego, Andrés M. Álvarez-Ortiz, Julián D. Arias-Londoño
http://arxiv.org/abs/2110.06461v1
• [cs.CL]Federated Natural Language Generation for Personalized Dialogue System
Yujie Lu, Chao Huang, Huanli Zhan, Yong Zhuang
http://arxiv.org/abs/2110.06419v1
• [cs.CL]HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
http://arxiv.org/abs/2110.06388v1
• [cs.CL]Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su
http://arxiv.org/abs/2110.06446v1
• [cs.CL]Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI
Yangqiaoyu Zhou, Chenhao Tan
http://arxiv.org/abs/2110.06223v1
• [cs.CL]LaoPLM: Pre-trained Language Models for Lao
Nankai Lin, Yingwen Fu, Chuwei Chen, Ziyu Yang, Shengyi Jiang
http://arxiv.org/abs/2110.05896v2
• [cs.CL]Learning Compact Metrics for MT
Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam
http://arxiv.org/abs/2110.06341v1
• [cs.CL]LiST: Lite Self-training Makes Efficient Few-shot Learners
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
http://arxiv.org/abs/2110.06274v1
• [cs.CL]MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao
http://arxiv.org/abs/2110.06651v1
• [cs.CL]MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators
Zhixing Tan, Xiangwen Zhang, Shuo Wang, Yang Liu
http://arxiv.org/abs/2110.06609v1
• [cs.CL]Masader: Metadata Sourcing for Arabic Text and Speech Data Resources
Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb, Maged S. Al-shaibani
http://arxiv.org/abs/2110.06744v1
• [cs.CL]Maximizing Efficiency of Language Model Pre-training for Learning Representation
Junmo Kang, Suwon Shin, Jeonghwan Kim, Jaeyoung Jo, Sung-Hyon Myaeng
http://arxiv.org/abs/2110.06620v1
• [cs.CL]Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Zhuosheng Zhang, Hanqing Zhang, Keming Chen, Yuhang Guo, Jingyun Hua, Yulong Wang, Ming Zhou
http://arxiv.org/abs/2110.06696v1
• [cs.CL]Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects
Go Inoue, Salam Khalifa, Nizar Habash
http://arxiv.org/abs/2110.06852v1
• [cs.CL]On Language Model Integration for RNN Transducer based Speech Recognition
Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney
http://arxiv.org/abs/2110.06841v1
• [cs.CL]Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias
P. S. Dodds, T. Alshaabi, M. I. Fudolig, J. W. Zimmerman, J. Lovato, S. Beaulieu, J. R. Minot, M. V. Arnold, A. J. Reagan, C. M. Danforth
http://arxiv.org/abs/2110.06847v1
• [cs.CL]Perception Point: Identifying Critical Learning Periods in Speech for Bilingual Networks
Anuj Saraswat, Mehar Bhatia, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah
http://arxiv.org/abs/2110.06507v1
• [cs.CL]SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima, Shinsaku Kiyomoto
http://arxiv.org/abs/2110.05748v2
• [cs.CL]SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu
http://arxiv.org/abs/2110.06800v1
• [cs.CL]Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
Xilun Chen, Kushal Lakhotia, Barlas Oğuz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih
http://arxiv.org/abs/2110.06918v1
• [cs.CL]Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
Yu Zhang, Qingrong Xia, Shilin Zhou, Yong Jiang, Zhenghua Li, Guohong Fu, Min Zhang
http://arxiv.org/abs/2110.06865v1
• [cs.CL]Semantics-aware Attention Improves Neural Machine Translation
Aviv Slobodkin, Leshem Choshen, Omri Abend
http://arxiv.org/abs/2110.06920v1
• [cs.CL]Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang
http://arxiv.org/abs/2110.06560v1
• [cs.CL]Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning
Tosin Adewumi, Nosheen Abid, Maryam Pahlavan, Rickard Brännvall, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki
http://arxiv.org/abs/2110.06273v1
• [cs.CL]Speech Summarization using Restricted Self-Attention
Roshan Sharma, Shruti Palaskar, Alan W Black, Florian Metze
http://arxiv.org/abs/2110.06263v1
• [cs.CL]Systematic Inequalities in Language Technology Performance across the World’s Languages
Damián Blasi, Antonios Anastasopoulos, Graham Neubig
http://arxiv.org/abs/2110.06733v1
• [cs.CL]Teaching Models new APIs: Domain-Agnostic Simulators for Task Oriented Dialogue
Moya Chen, Paul A. Crook, Stephen Roller
http://arxiv.org/abs/2110.06905v1
• [cs.CL]Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
http://arxiv.org/abs/
b85
2110.06354v1
b85
2110.06354v1)
• [cs.CL]Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
http://arxiv.org/abs/2110.06354v1
• [cs.CL]The Dawn of Quantum Natural Language Processing
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
http://arxiv.org/abs/2110.06510v1
• [cs.CL]Time Masking for Temporal Language Models
Guy D. Rosin, Ido Guy, Kira Radinsky
http://arxiv.org/abs/2110.06366v1
• [cs.CR]Offset-Symmetric Gaussians for Differential Privacy
Parastoo Sadeghi, Mehdi Korki
http://arxiv.org/abs/2110.06412v1
• [cs.CR]State of Security and Privacy Practices of Top Websites in the East African Community (EAC)
Abdirahman Mohamed, Christopher Dare, Ayobami Esther Olanrewaju, Mercyleen Tanui, Fonyuy Boris Lami
http://arxiv.org/abs/2110.06654v1
• [cs.CR]Traceback of Data Poisoning Attacks in Neural Networks
Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
http://arxiv.org/abs/2110.06904v1
• [cs.CV]A Review on Human Pose Estimation
Rohit Josyula, Sarah Ostadabbas
http://arxiv.org/abs/2110.06877v1
• [cs.CV]A Survey of Open Source User Activity Traces with Applications to User Mobility Characterization and Modeling
Sinjoni Mukhopadhyay King, Faisal Nawab, Katia Obraczka
http://arxiv.org/abs/2110.06382v1
• [cs.CV]ADOP: Approximate Differentiable One-Pixel Point Rendering
Darius Rückert, Linus Franke, Marc Stamminger
http://arxiv.org/abs/2110.06635v1
• [cs.CV]Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
Seokju Lee, Francois Rameau, Fei Pan, In So Kweon
http://arxiv.org/abs/2110.06853v1
• [cs.CV]Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Chenyu Yi, SIYUAN YANG, Haoliang Li, Yap-peng Tan, Alex Kot
http://arxiv.org/abs/2110.06513v1
• [cs.CV]ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
http://arxiv.org/abs/2110.06864v1
• [cs.CV]CLIP4Caption: CLIP for Video Caption
Mingkang Tang, Zhanyu Wang, Zhenhua Liu, Fengyun Rao, Dian Li, Xiu Li
http://arxiv.org/abs/2110.06615v1
• [cs.CV]CONetV2: Efficient Auto-Channel Size Optimization for CNNs
Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis
http://arxiv.org/abs/2110.06830v1
• [cs.CV]Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
http://arxiv.org/abs/2110.06736v1
• [cs.CV]Color Counting for Fashion, Art, and Design
Mohammed Al-Rawi
http://arxiv.org/abs/2110.06682v1
• [cs.CV]DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
http://arxiv.org/abs/2110.06922v1
• [cs.CV]Deep Superpixel-based Network for Blind Image Quality Assessment
Guangyi Yang, Yang Zhan., Yuxuan Wang
http://arxiv.org/abs/2110.06564v1
• [cs.CV]DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
Yizhi Wang, Zhouhui Lian
http://arxiv.org/abs/2110.06688v1
• [cs.CV]Detecting Slag Formations with Deep Convolutional Neural Networks
Christian von Koch, William Anzén, Max Fischer, Raazesh Sainudiin
http://arxiv.org/abs/2110.06640v1
• [cs.CV]Domain Adaptive Semantic Segmentation without Source Data
Fuming You, Jingjing Li, Lei Zhu, Ke Lu, Zhi Chen, Zi Huang
http://arxiv.org/abs/2110.06484v1
• [cs.CV]EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation
Shidi Li, Miaomiao Liu, Christian Walder
http://arxiv.org/abs/2110.06679v1
• [cs.CV]Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning
Priyam Mehta
http://arxiv.org/abs/2110.06331v1
• [cs.CV]Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
http://arxiv.org/abs/2110.06630v1
• [cs.CV]Harnessing the
f9b
Conditioning Sensorium for Improved Image Translation
Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon
http://arxiv.org/abs/2110.06443v1
• [cs.CV]Hyperspectral 3D Mapping of Underwater Environments
Maxime Ferrera, Aurélien Arnaubec, Klemen Istenic, Nuno Gracias, Touria Bajjouk
http://arxiv.org/abs/2110.06571v1
• [cs.CV]Improving Users’ Mental Model with Attention-directed Counterfactual Edits
Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jurgen P. Schulze, Yi Yao, Giedrius T. Burachas
http://arxiv.org/abs/2110.06863v1
• [cs.CV]LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle
http://arxiv.org/abs/2110.06558v1
• [cs.CV]Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Julia Wolleb, Muhamed Barakovic, Athina Papadopoulou, Nouchine Hadjikhani, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin
http://arxiv.org/abs/2110.06803v1
• [cs.CV]Learning Meta Pattern for Face Anti-Spoofing
Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, Alex Chichung Kot
http://arxiv.org/abs/2110.06753v1
• [cs.CV]Life is not black and white — Combining Semi-Supervised Learning with fuzzy labels
Lars Schmarje, Reinhard Koch
http://arxiv.org/abs/2110.06592v1
• [cs.CV]Localized Persistent Homologies for more Effective Deep Learning
Doruk Oner, Adélie Garin, Mateusz Koziński, Kathryn Hess, Pascal Fua
http://arxiv.org/abs/2110.06295v1
• [cs.CV]MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants
Alkesh Patel, Joel Ruben Antony Moniz, Roman Nguyen, Nick Tzou, Hadas Kotek, Vincent Renkens
http://arxiv.org/abs/2110.06416v1
• [cs.CV]MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
Laith Alzubaidi, J. Santamaría, Mohamed Manoufali, Beadaa Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H. Al-Timemy, Omran Al-Shamma, Ye Duan
http://arxiv.org/abs/2110.06512v1
• [cs.CV]Non-local Recurrent Regularization Networks for Multi-view Stereo
Qingshan Xu, Martin R. Oswald, Wenbing Tao, Marc Pollefeys, Zhaopeng Cui
http://arxiv.org/abs/2110.06436v1
• [cs.CV]Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang, Justin Solomon
http://arxiv.org/abs/2110.06923v1
• [cs.CV]Object-Region Video Transformers
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
http://arxiv.org/abs/2110.06915v1
• [cs.CV]Optical-Flow-Reuse-Based Bidirectional Recurrent Network for Space-Time Video Super-Resolution
Yuantong Zhang, Huairui Wang, Zhenzhong Chen
http://arxiv.org/abs/2110.06786v1
• [cs.CV]Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Qi Ming, Junjie Song, Zhiqiang Zhou
http://arxiv.org/abs/2110.06628v1
• [cs.CV]Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
http://arxiv.org/abs/2110.06685v1
• [cs.CV]Real Image Inversion via Segments
David Futschik, Michal Lukáč, Eli Shechtman, Daniel Sýkora
http://arxiv.org/abs/2110.06269v1
• [cs.CV]Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
http://arxiv.org/abs/2110.06530v1
• [cs.CV]Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao, Minquan Wang, Longjun Cai
http://arxiv.org/abs/2110.06448v1
• [cs.CV]RelationRS: Relationship Representation Network for Object Detection in Aerial Images
Zhiming Liu, Xuefei Zhang, Chongyang Liu, Hao Wang, Chao Sun, Bin Li, Weifeng Sun, Pu Huang, Qingjun Li, Yu Liu, Haipeng Kuang, Jihong Xiu
http://arxiv.org/abs/2110.06730v1
• [cs.CV]Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Christoph Wick, Jochen Zöllner, Tobias Grüning
http://arxiv.org/abs/2110.05909v2
• [cs.CV]Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
Chaewon Park, Minhyeok Lee, MyeongAh Cho, Sangyoun Lee
http://arxiv.org/abs/2110.06550v1
• [cs.CV]Semantic Image Fusion
P. R. Hill, D. R. Bull
http://arxiv.org/abs/2110.06697v1
• [cs.CV]THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde
http://arxiv.org/abs/2110.06607v1
• [cs.CV]The Computerized Classification of Micro-Motions in the Hand using Waveforms from Mobile Phone
Ranjani Ramesh
http://arxiv.org/abs/2110.06723v1
• [cs.CV]Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization
Weihan Chen, Peisong Wang, Jian Cheng
http://arxiv.org/abs/2110.06554v1
• [cs.CV]Understanding of Emotion Perception from Art
Digbalay Bose, Krishna Somandepalli, Souvik Kundu, Rimita Lahiri, Jonathan Gratch, Shrikanth Narayanan
http://arxiv.org/abs/2110.06486v1
• [cs.CV]Unsupervised Object Learning via Common Fate
Matthias Tangemann, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf
http://arxiv.org/abs/2110.06562v1
• [cs.CV]Unsupervised Representation Learning for 3D Point Cloud Data
Jincen Jiang, Xuequan Lu, Wanli Ouyang, Meili Wang
http://arxiv.org/abs/2110.06632v1
• [cs.CV]Updating Street Maps using Changes Detected in Satellite Imagery
Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
http://arxiv.org/abs/2110.06456v1
• [cs.CV]Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks
Ester Bonmati, Yipeng Hu, Alexander Grimwood, Gavin J. Johnson, George Goodchild, Margaret G. Keane, Kurinchi Gurusamy, Brian Davidson, Matthew J. Clarkson, Stephen P. Pereira, Dean C. Barratt
http://arxiv.org/abs/2110.06367v1
• [cs.CV]Winning the ICCV’2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts
Minchul Shin, Jonghwan Mun, Kyoung-Woon On, Woo-Young Kang, Gunsoo Han, Eun-Sol Kim
http://arxiv.org/abs/2110.06476v1
• [cs.CY]“I need a better description’’: An Investigation Into User Expectations For Differential Privacy
Rachel Cummings, Gabriel Kaptchuk, Elissa M. Redmiles
http://arxiv.org/abs/2110.06452v1
• [cs.CY]Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength
Felix Beierle, Hai Dinh-Tuan, Yong Wu
http://arxiv.org/abs/2110.06832v1
• [cs.CY]Recent trends in Social Engineering Scams and Case study of Gift Card Scam
Rajasekhar Chaganti, Bharat Bhushan, Anand Nayyar, Azrour Mourade
http://arxiv.org/abs/2110.06487v1
• [cs.CY]Truthful AI: Developing and governing AI that does not lie
Owain Evans, Owen Cotton-Barratt, Lukas Finnveden, Adam Bales, Avital Balwit, Peter Wills, Luca Righetti, William Saunders
http://arxiv.org/abs/2110.06674v1
• [cs.DC]Architecture of a Junkyard Datacenter
Jennifer Switzer, Ryan Kastner, Pat Pannuto
http://arxiv.org/abs/2110.06870v1
• [cs.DC]Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study
Chavit Denninnart, Mohsen Amini Salehi
http://arxiv.org/abs/2110.06508v1
• [cs.DC]Efficient Linearizability Checking for Actor-based Systems
Mohammed S. Al-Mahfoudh, Ryan Stutsman, Ganesh Gopalakrishnan
http://arxiv.org/abs/2110.06407v1
• [cs.DC]UCX Programming Interface for Remote Function Injection and Invocation
Luis E. Peña, Wenbin Lu, Pavel Shamis, Steve Poole
http://arxiv.org/abs/2110.06292v1
• [cs.DL]Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs
Matteo Romanello, Sven Najem-Meyer, Bruce Robertson
http://arxiv.org/abs/2110.06817v1
• [cs.HC]Tutorial on Deep Learning for Human Activity Recognition
Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven
http://arxiv.org/abs/2110.06663v1
• [cs.IR]False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation
Seongjae Kim, Jinseok Seol, Holim Lim, Sang-goo Lee
http://arxiv.org/abs/2110.06483v1
• [cs.IR]Knowledge Graph-enhanced Sampling for Conversational Recommender System
Mengyuan Zhao, Xiaowen Huang, Lixi Zhu, Jitao Sang, Jian Yu
http://arxiv.org/abs/2110.06637v1
• [cs.IR]Learning to Select Historical News Articles for Interaction based Neural News Recommendation
Peitian Zhang, Zhicheng Dou, Jing Yao
http://arxiv.org/abs/2110.06459v1
• [cs.IR]User Experiences Oriented Sightseeing Spot Recommendation
Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma
http://arxiv.org/abs/2110.06523v1
• [cs.IT]A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces
Emil Björnson, Özlem Tugfe Demir, Luca Sanguinetti
http://arxiv.org/abs/2110.06661v1
• [cs.IT]Algebra of Data Reconciliation
Elod P. Csirmaz, Laszlo Csirmaz
http://arxiv.org/abs/2110.06313v1
• [cs.IT]Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing
Jialiang Xu, Xu Zhang
http://arxiv.org/abs/2110.06460v1
• [cs.IT]Joint Optimization of Beam-Hopping Design and NOMA-Assisted Transmission for Flexible Satellite Systems
Anyue Wang, Lei Lei, Eva Lagunas, Ana I. Perez-Neira, Symeon Chatzinotas, Bjorn Ottersten
http://arxiv.org/abs/2110.06694v1
• [cs.IT]Optimal Beamwidth and Altitude for Maximal Uplink Coverage in Satellite Networks
Bassel Al Homssi, Akram Al-Hourani
http://arxiv.org/abs/2110.06649v1
• [cs.IT]Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments
Jianxin Dai, Feng Zhu, Cunhua Pan, Hong Ren, Kezhi Wang
http://arxiv.org/abs/2110.06439v1
• [cs.IT]Sub-Terahertz Spatial Statistical MIMO Channel Model for Urban Microcells at 142 GHz
Shihao Ju, Theodore S. Rappaport
http://arxiv.org/abs/2110.06361v1
• [cs.LG]A Framework for Verification of Wasserstein Adversarial Robustness
Tobias Wegel, Felix Assion, David Mickisch, Florens Greßner
http://arxiv.org/abs/2110.06816v1
• [cs.LG]A Good Representation Detects Noisy Labels
Zhaowei Zhu, Zihao Dong, Hao Cheng, Yang Liu
http://arxiv.org/abs/2110.06283v1
• [cs.LG]A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark
Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx
http://arxiv.org/abs/2110.06742v1
• [cs.LG]Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
Wenhao Gao, Rocío Mercado, Connor W. Coley
http://arxiv.org/abs/2110.06389v1
• [cs.LG]An Introduction to Automatic Differentiation forMachine Learning
Davan Harrison
http://arxiv.org/abs/2110.06209v1
• [cs.LG]Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang, Du Jiang, Di He, Liwei Wang
http://arxiv.org/abs/2110.06850v1
• [cs.LG]Causal discovery from conditionally stationary time-series
Carles Balsells Rodas, Ruibo Tu, Hedvig Kjellstrom
http://arxiv.org/abs/2110.06257v1
• [cs.LG]Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, Anthony Kuh
http://arxiv.org/abs/2110.06556v1
• [cs.LG]Coupled and Uncoupled Dynamic Mode Decomposition in Multi-Compartmental Systems with Applications to Epidemiological and Additive Manufacturing Problems
Alex Viguerie, Gabriel F. Barros, Malú Grave, Alessandro Reali, Alvaro L. G. A. Coutinho
http://arxiv.org/abs/2110.06375v1
• [cs.LG]Data-driven Leak Localization in Water Distribution Networks via Dictionary Learning and Graph-based Interpolation
Paul Irofti, Luis Romero-Ben, Florin Stoican, Vicenç Puig
http://arxiv.org/abs/2110.06372v1
• [cs.LG]Decoupled Contrastive Learning
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
http://arxiv.org/abs/2110.06848v1
• [cs.LG]Dense Uncertainty Estimation
Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
http://arxiv.org/abs/2110.06427v1
• [cs.LG]Differentially Private Fine-tuning of Language Models
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
http://arxiv.org/abs/2110.06500v1
• [cs.LG]Dropout Prediction Variation Estimation Using Neuron Activation Strength
Haichao Yu, Zhe Chen, Dong Lin, Gil Shamir, Jie Han
http://arxiv.org/abs/2110.06435v1
• [cs.LG]Dynamic Inference with Neural Interpreters
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
http://arxiv.org/abs/2110.06399v1
• [cs.LG]Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller
http://arxiv.org/abs/2110.06741v1
• [cs.LG]Expert-driven Trace Clustering with Instance-level Constraints
Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
http://arxiv.org/abs/2110.06703v1
• [cs.LG]Extracting Dynamical Models from Data
Michael F. Zimmer
http://arxiv.org/abs/2110.06917v1
• [cs.LG]Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
http://arxiv.org/abs/2110.06365v1
• [cs.LG]Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning
Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya, John L. Sapp, B. Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
http://arxiv.org/abs/2110.06851v1
• [cs.LG]Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen, Guohan Huang, Shanqing Yu, Wenrong Jiang, Chen Cui
http://arxiv.org/abs/2110.06468v1
• [cs.LG]Identification of Attack-Specific Signatures in Adversarial Examples
Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau, Micah Goldblum, Rama Chellappa
http://arxiv.org/abs/2110.06802v1
• [cs.LG]Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures: Object Classification
B. A. Wilson, P. D. Ledger, W. R. B. Lionheart
http://arxiv.org/abs/2110.06624v1
• [cs.LG]Improving the sample-efficiency of neural architecture search with reinforcement learning
Attila Nagy, Ábel Boros
http://arxiv.org/abs/2110.06751v1
• [cs.LG]Incremental Community Detection in Distributed Dynamic Graph
Tariq Abughofa, Ahmed A. Harby, Haruna Isah, Farhana Zulkernine
http://arxiv.org/abs/2110.06311v1
• [cs.LG]Infinitely Divisible Noise in the Low Privacy Regime
Rasmus Pagh, Nina Mesing Stausholm
http://arxiv.org/abs/2110.06559v1
• [cs.LG]Learning Stable Koopman Embeddings
Fletcher Fan, Bowen Yi, David Rye, Guodong Shi, Ian R. Manchester
http://arxiv.org/abs/2110.06509v1
• [cs.LG]Leveraging redundancy in attention with Reuse Transformers
Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar
http://arxiv.org/abs/2110.06821v1
• [cs.LG]Molecular Graph Generation via Geometric Scattering
Dhananjay Bhaskar, Jackson D. Grady, Michael A. Perlmutter, Smita Krishnaswamy
http://arxiv.org/abs/2110.06241v1
• [cs.LG]Multistage linguistic conditioning of convolutional layers for speech emotion recognition
Andreas Triantafyllopoulos, Uwe Reichel, Shuo Liu, Stephan Huber, Florian Eyben, Björn W. Schuller
http://arxiv.org/abs/2110.06650v1
• [cs.LG]Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
Shibal Ibrahim, Natalia Ponomareva, Rahul Mazumder
http://arxiv.org/abs/2110.06893v1
• [cs.LG]Not all noise is accounted equally: How differentially private learning benefits from large sampling rates
Friedrich Dörmann, Osvald Frisk, Lars Nørvang Andersen, Christian Fischer Pedersen
http://arxiv.org/abs/2110.06255v1
• [cs.LG]On Convergence of Training Loss Without Reaching Stationary Points
Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
http://arxiv.org/abs/2110.06256v1
• [cs.LG]On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
http://arxiv.org/abs/2110.06539v1
• [cs.LG]On the Parameter Combinations That Matter and on Those That do Not
Nikolaos Evangelou, Noah J. Wichrowski, George A. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, Sarah McFann, Ioannis G. Kevrekidis
http://arxiv.org/abs/2110.06717v1
• [cs.LG]One to Multiple Mapping Dual Learning: Learning Multiple Sources from One Mixed Signal
Ting Liu, Wenwu Wang, Xiaofei Zhang, Zhenyin Gong, Yina Guo
http://arxiv.org/abs/2110.06568v1
• [cs.LG]PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Ziwei Guan, Tengyu Xu, Yingbin Liang
http://arxiv.org/abs/2110.06906v1
• [cs.LG]PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie
http://arxiv.org/abs/2110.06324v1
• [cs.LG]Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang, Tolga Ergen, Mert Pilanci
http://arxiv.org/abs/2110.06482v1
• [cs.LG]Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
Arash Mahyari, Peter Pirolli, Jacqueline A. LeBlanc
http://arxiv.org/abs/2110.06287v1
• [cs.LG]Real-time Drift Detection on Time-series Data
Nandini Ramanan, Rasool Tahmasbi, Marjorie Sayer, Deokwoo Jung, Shalini Hemachandran, Claudionor Nunes Coelho Jr
http://arxiv.org/abs/2110.06383v1
• [cs.LG]Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework
Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit
http://arxiv.org/abs/2110.06421v1
• [cs.LG]Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Weitong Zhang, Dongruo Zhou, Quanquan Gu
http://arxiv.org/abs/2110.06394v1
• [cs.LG]Robust Neural Regression via Uncertainty Learning
Akib Mashrur, Wei Luo, Nayyar A. Zaidi, Antonio Robles-Kelly
http://arxiv.org/abs/2110.06395v1
• [cs.LG]SAR-Net: A Scenario-Aware Ranking Network for PersonalizedFair Recommendation in Hundreds of Travel Scenarios
Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu
http://arxiv.org/abs/2110.06475v1
• [cs.LG]SMS: An Efficient Source Model Selection Framework for Model Reuse
Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, Yunjun Gao
http://arxiv.org/abs/2110.06532v1
• [cs.LG]Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation
Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis
http://arxiv.org/abs/2110.06290v1
• [cs.LG]TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
http://arxiv.org/abs/2110.06892v1
• [cs.LG]The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
Yifei Wang, Mert Pilanci
http://arxiv.org/abs/2110.06488v1
• [cs.LG]The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu, Tianyi Luo, Yang Liu
http://arxiv.org/abs/2110.06282v1
• [cs.LG]The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
http://arxiv.org/abs/2110.06296v1
• [cs.LG]The deep generative decoder: Using MAP estimates of representations
Viktoria Schuster, Anders Krogh
http://arxiv.org/abs/2110.06672v1
• [cs.LG]Twice regularized MDPs and the equivalence between robustness and regularization
Esther Derman, Matthieu Geist, Shie Mannor
http://arxiv.org/abs/2110.06267v1
• [cs.LG]Two-argument activation functions learn soft XOR operations like cortical neurons
Kijung Yoon, Emin Orhan, Juhyun Kim, Xaq Pitkow
http://arxiv.org/abs/2110.06871v1
• [cs.LG]Vibration-Based Condition Monitoring By Ensemble Deep Learning
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Keremans
http://arxiv.org/abs/2110.06601v1
• [cs.LG]Well-classified Examples are Underestimated in Classification with Deep Neural Networks
Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun
http://arxiv.org/abs/2110.06537v1
• [cs.LG]What Happens after SGD Reaches Zero Loss? —A Mathematical Framework
Zhiyuan Li, Tianhao Wang, Sanjeev Arora
http://arxiv.org/abs/2110.06914v1
• [cs.LG]When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps
Jan Rosenzweig, Zoran Cvetkovic, Ivana Rosenzweig
http://arxiv.org/abs/2110.06639v1
• [cs.MA]GridLearn: Multiagent Reinforcement Learning for Grid-Aware Building Energy Management
Aisling Pigott, Constance Crozier, Kyri Baker, Zoltan Nagy
http://arxiv.org/abs/2110.06396v1
• [cs.MA]Towards a fully RL-based Market Simulator
Leo Ardon, Nelson Vadori, Thomas Spooner, Mengda Xu, Jared Vann, Sumitra Ganesh
http://arxiv.org/abs/2110.06829v1
• [cs.MM]NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels
Mohit Sharma, Raj Patra, Harshal Desai, Shruti Vyas, Yogesh Rawat, Rajiv Ratn Shah
http://arxiv.org/abs/2110.06827v1
• [cs.NE]A Time Encoding approach to training Spiking Neural Networks
Karen Adam
http://arxiv.org/abs/2110.06735v1
• [cs.NE]A comprehensive review of Binary Neural Network
Chunyu Yuan, Sos S. Agaian
http://arxiv.org/abs/2110.06804v1
• [cs.RO]Collaborative Radio SLAM for Multiple Robots based on WiFi Fingerprint Similarity
Ran Liu, Zhenghong Qin, Hua Zhang, Billy Pik Lik Lau, Khairuldanial Ismail, Achala Athukorala, Chau Yuen, Yong Liang Guan, U-Xuan Tan
http://arxiv.org/abs/2110.06541v1
• [cs.RO]Contact-timing and Trajectory Optimization for 3D Jumping on Quadruped Robots
Chuong Nguyen, Quan Nguyen
http://arxiv.org/abs/2110.06764v1
• [cs.RO]Decentralized Connectivity Maintenance for Multi-robot Systems Under Motion and Sensing Uncertainties
Akshay Shetty, Timmy Hussain, Grace Gao
http://arxiv.org/abs/2110.06342v1
• [cs.RO]Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication
James Di, Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov
http://arxiv.org/abs/2110.06401v1
• [cs.RO]Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card
Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen
http://arxiv.org/abs/2110.06373v1
• [cs.RO]Evaluation of computer networking methods for interaction with remote robotic systems
Peter-Newman Messan, Szymon Krupinski, Guillem Vallicrosa, Pere Ridao, Francesco Maurelli
http://arxiv.org/abs/2110.06385v1
• [cs.RO]Exact and Bounded Collision Probability for Motion Planning under Gaussian Uncertainty
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
http://arxiv.org/abs/2110.06348v1
• [cs.RO]Fully-simulated Integration of Scamp5d Vision System and Robot Simulator
Wen Fan, Yanan Liu, Yifan Xing
http://arxiv.org/abs/2110.06386v1
• [cs.RO]Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification
Christian Korbach, Markus D. Solbach, Raphael Memmesheimer, Dietrich Paulus, John K. Tsotsos
http://arxiv.org/abs/2110.06766v1
• [cs.RO]OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola
http://arxiv.org/abs/2110.06912v1
• [cs.RO]On-line feasible wrench polytope evaluation based on human musculoskeletal models: an iterative convex hull method
Antun Skuric, Vincent Padois, Nasser Rezzoug, David Daney
http://arxiv.org/abs/2110.06790v1
• [cs.RO]Online Trajectory Optimization for Dynamic Aerial Motions of a Quadruped Robot
Matthew Chignoli, Sangbae Kim
http://arxiv.org/abs/2110.06330v1
• [cs.RO]Robotic Autonomous Trolley Collection with Progressive Perception and Nonlinear Model Predictive Control
Anxing Xiao, Hao Luan, Ziqi Zhao, Yue Hong, Jieting Zhao, Jiankun Wang, Max Q. -H. Meng
http://arxiv.org/abs/2110.06648v1
• [cs.RO]Robust Glare Detection: Review, Analysis, and Dataset Release
Mahdi Abolfazli Esfahani, Han Wang
http://arxiv.org/abs/2110.06006v2
• [cs.RO]Transformers for EEG Emotion Recognition
Jiyao Liu, Li Zhang, Hao Wu, Huan Zhao
http://arxiv.org/abs/2110.06553v1
• [cs.RO]Trust Calibration and Trust Respect: A Method for Building Team Cohesion in Human Robot Teams
Russell Perkins, Zahra Rezaei Khavas, Paul Robinette
http://arxiv.org/abs/2110.06809v1
• [cs.RO]Using UAVs for vehicle tracking and collision risk assessment at intersections
Shuya Zong, Sikai Chen, Majed Alinizzi, Yujie Li, Samuel Labi
http://arxiv.org/abs/2110.06775v1
• [cs.SD]Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
Bo-Yu Chen, Wei-Han Hsu, Wei-Hsiang Liao, Marco A. Martínez Ramírez, Yuki Mitsufuji, Yi-Hsuan Yang
http://arxiv.org/abs/2110.06525v1
• [cs.SD]Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Guochen Yu, Andong Li, Yutian Wang, Yinuo Guo, Hui Wang, Chengshi Zheng
http://arxiv.org/abs/2110.06467v1
• [cs.SD]EIHW-MTG DiCOVA 2021 Challenge System Report
Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez, Björn W. Schuller
http://arxiv.org/abs/2110.06543v1
• [cs.SD]End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network
Yina Guo, Xiaofei Zhang, Zhenying Gong, Anhong Wang, Wenwu Wang
http://arxiv.org/abs/2110.06634v1
• [cs.SD]S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech Representations
Wen-Chin Huang, Shu-Wen Yang, Tomoki Hayashi, Hung-Yi Lee, Shinji Watanabe, Tomoki Toda
http://arxiv.org/abs/2110.06280v1
• [cs.SE]An Overview of Ontologies and Tool Support for COVID-19 Analytics
Aakash Ahmad, Madhushi Bandara, Mahdi Fahmideh, Henderik A. Proper, Giancarlo Guizzardi, Jeffrey Soar
http://arxiv.org/abs/2110.06397v1
• [cs.SE]HEDP: A Method for Early Forecasting Software Defects based on Human Error Mechanisms
Fuqun Huang, Lorenzo Strigini
http://arxiv.org/abs/2110.06758v1
• [cs.SE]Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere, Jie M. Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
http://arxiv.org/abs/2110.06773v1
• [cs.SI]Attributed Graph Modeling with Vertex Replacement Grammars
Satyaki Sikdar, Neil Shah, Tim Weninger
http://arxiv.org/abs/2110.06410v1
• [cs.SI]CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
Yansong Wang, Xiaomeng Wang, Radosław Michalski, Yijun Ran, Tao Jia
http://arxiv.org/abs/2110.06836v1
• [cs.SI]Diversity of Skills and Collective Intelligence in GitHub
Dorota Celińska-Kopczyńska
http://arxiv.org/abs/2110.06725v1
• [cs.SI]SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu
http://arxiv.org/abs/2110.06623v1
• [cs.SI]Unique on Facebook: Formulation and Evidence of (Nano)targeting Individual Users with non-PII Data
José González-Cabañas, Ángel Cuevas, Rubén Cuevas, Juan López-Fernández, David García
http://arxiv.org/abs/2110.06636v1
• [econ.EM]Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
Jiafeng Che, Xiaohong Chen, Elie Tamer
http://arxiv.org/abs/2110.06763v1
• [eess.AS]A Melody-Unsupervision Model for Singing Voice Synthesis
Soonbeom Choi, Juhan Nam
http://arxiv.org/abs/2110.06546v1
• [eess.AS]DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding
Sergey Nikonorov, Berrak Sisman, Mingyang Zhang, Haizhou Li
http://arxiv.org/abs/2110.06434v1
• [eess.AS]Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen, Alexander Rudnicky
http://arxiv.org/abs/2110.06309v1
• [eess.AS]Fine-grained style control in Transformer-based Text-to-speech Synthesis
Li-Wei Chen, Alexander Rudnicky
http://arxiv.org/abs/2110.06306v1
• [eess.IV]2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T
Nilser J. Laines Medina, Charley Gros, Julien Cohen-Adad, Virginie Callot, Arnaud Le Troter
http://arxiv.org/abs/2110.06516v1
• [eess.IV]Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou
http://arxiv.org/abs/2110.06465v1
• [eess.IV]CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning
Vishal Shenoy, Sachin B. Malik
http://arxiv.org/abs/2110.06398v1
• [eess.IV]CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation
Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu
http://arxiv.org/abs/2110.06400v1
• [eess.IV]Transform and Bitstream Domain Image Classification
P. R. Hill, D. R. Bull
http://arxiv.org/abs/2110.06740v1
• [eess.SP]Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Scheduling
Yaxiong Yuan, Lei lei, Thang X. Vu, Zheng Chang, Symeon Chatzinotas, Sumei Sun
http://arxiv.org/abs/2110.06787v1
• [eess.SP]Dictionary Learning with Convex Update (ROMD)
Cheng Cheng, Wei Dai
http://arxiv.org/abs/2110.06641v1
• [eess.SY]Distributed Kalman Filters for Relative Formation Control of Mobile Agents
Martijn van der Marel, Raj Thilak Rajan
http://arxiv.org/abs/2110.06332v1
• [eess.SY]Stabilizing Dynamical Systems via Policy Gradient Methods
Juan C. Perdomo, Jack Umenberger, Max Simchowitz
http://arxiv.org/abs/2110.06418v1
• [math.NA]Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose Blanchet
http://arxiv.org/abs/2110.06897v1
• [math.NA]The springback penalty for robust signal recovery
Congpei An, Hao-Ning Wu, Xiaoming Yuan
http://arxiv.org/abs/2110.06754v1
• [math.OC]Maximum Entropy Differential Dynamic Programming
Oswin So, Ziyi Wang, Evangelos A. Theodorou
http://arxiv.org/abs/2110.06451v1
• [math.ST]As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing
Sudeep Salgia, Qing Zhao, Lang Tong
http://arxiv.org/abs/2110.06325v1
• [math.ST]Coherence of high-dimensional random matrices in a Gaussian case : application of the Chen-Stein method
M Boucher, D Chauveau, M Zani
http://arxiv.org/abs/2110.06574v1
• [math.ST]High-Dimensional Varying Coefficient Models with Functional Random Effects
Michael Law, Ya’acov Ritov
http://arxiv.org/abs/2110.06426v1
• [math.ST]Minimax extrapolation problem for periodically correlated stochastic sequences with missing observations
Iryna Golichenko, Oleksandr Masyutka, Mikhail Moklyachuk
http://arxiv.org/abs/2110.06675v1
• [math.ST]On Permutation Invariant Problems in Large-Scale Inference
Asaf Weinstein
http://arxiv.org/abs/2110.06250v1
• [math.ST]Spectral-norm risk rates for multi-taper estimation of Gaussian processes
José Luis Romero, Michael Speckbacher
http://arxiv.org/abs/2110.06625v1
• [math.ST]Tangent Space and Dimension Estimation with the Wasserstein Distance
Uzu Lim, Vidit Nanda, Harald Oberhauser
http://arxiv.org/abs/2110.06357v1
• [quant-ph]Learning ground states of quantum Hamiltonians with graph networks
Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter Battaglia, Bryan K. Clark
http://arxiv.org/abs/2110.06390v1
• [quant-ph]Representing Matrices Using Algebraic ZX-calculus
Quanlong Wang
http://arxiv.org/abs/2110.06898v1
• [stat.AP]The effect of COVID-19 vaccinations on self-reported depression and anxiety during February 2021
Max Rubinstein, Amelia Haviland
http://arxiv.org/abs/2110.06834v1
• [stat.ME]A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Binary Classification
Bradley Rava, Wenguang Sun, Gareth M. James, Xin Tong
http://arxiv.org/abs/2110.05720v2
• [stat.ME]Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow
Olivier C. Pasche, Valérie Chavez-Demoulin, Anthony C. Davison
http://arxiv.org/abs/2110.06686v1
• [stat.ME]Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions
David Deuber, Jinzhou Li, Sebastian Engelke, Marloes H. Maathuis
http://arxiv.org/abs/2110.06627v1
• [stat.ME]Joint Functional Gaussian Graphical Models
Ilias Moysidis, Bing Li
http://arxiv.org/abs/2110.06653v1
• [stat.ME]Multiple testing of partial conjunction null hypotheses with conditional -values based on combination test statistics
Thorsten Dickhaus, Ruth Heller, Anh-Tuan Hoang
http://arxiv.org/abs/2110.06692v1
• [stat.ME]Online network change point detection with missing values
Paromita Dubey, Haotian Xu, Yi Yu
http://arxiv.org/abs/2110.06450v1
• [stat.ME]Path-Free Decomposition for Direct, Indirect and Interaction Effects in Mediation Analysis
Myoung-jae Lee
http://arxiv.org/abs/2110.06504v1
• [stat.ME]Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
Wanjie Wang, Eric Z. Chen, Hongzhe Li
http://arxiv.org/abs/2110.05368v3
• [stat.ML]Averting A Crisis In Simulation-Based Inference
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Gilles Louppe
http://arxiv.org/abs/2110.06581v1
• [stat.ML]Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Jean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio
http://arxiv.org/abs/2110.06866v1
• [stat.ML]Clustering-Based Interpretation of Deep ReLU Network
Nicola Picchiotti, Marco Gori
http://arxiv.org/abs/2110.06593v1
• [stat.ML]Domain Generalization via Domain-based Covariance Minimization
Anqi Wu
http://arxiv.org/abs/2110.06298v1
• [stat.ML]Incremental Ensemble Gaussian Processes
Qin Lu, Georgios V. Karanikolas, Georgios B. Giannakis
http://arxiv.org/abs/2110.06777v1
• [stat.ML]Logic Constraints to Feature Importances
Nicola Picchiotti, Marco Gori
http://arxiv.org/abs/2110.06596v1
• [stat.ML]Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
Jeffrey Ryan Willette, Hae Beom Lee, Juho Lee, Sung Ju Hwang
http://arxiv.org/abs/2110.06381v1
• [stat.ML]Metaparametric Neural Networks for Survival Analysis
Fabio Luis de Mello, J Mark Wilkinson, Visakan Kadirkamanathan
http://arxiv.org/abs/2110.06610v1
• [stat.ML]On the Double Descent of Random Features Models Trained with SGD
Fanghui Liu, Johan A. K. Suykens, Volkan Cevher
http://arxiv.org/abs/2110.06910v1
• [stat.ML]Reinforcement Learning for Standards Design
Shahrukh Khan Kasi, Sayandev Mukherjee, Lin Cheng, Bernardo A. Huberman
http://arxiv.org/abs/2110.06909v1
• [stat.ML]Sub-Setting Algorithm for Training Data Selection in Pattern Recognition
AGaurav Arwade, Sigurdur Olafsson
http://arxiv.org/abs/2110.06527v1
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