astro-ph.CO - 宇宙学和天体物理学
    astro-ph.EP - 地球与行星天体
    astro-ph.GA - 星系天体物理学
    astro-ph.IM - 仪器仪表和天体物理学方法
    astro-ph.SR - 太阳和天体物理学恒星
    cond-mat.soft - 软凝聚物质
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DB - 数据库
    cs.DC - 分布式、并行与集群计算
    cs.DM - 离散数学
    cs.GR - 计算机图形学
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    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.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.ao-ph - 大气和海洋物理
    physics.flu-dyn - 流体动力学
    physics.med-ph - 医学物理学
    q-bio.QM - 定量方法
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.CO]Robust marginalization of baryonic effects for cosmological inference at the field level
    • [astro-ph.EP]Identifying Potential Exomoon Signals with Convolutional Neural Networks
    • [astro-ph.GA]Functional Data Analysis for Extracting the Intrinsic Dimensionality of Spectra — Application: Chemical Homogeneity in Open Cluster M67
    • [astro-ph.IM]Astronomical Pipeline Provenance: A Use Case Evaluation
    • [astro-ph.SR]SCSS-Net: Solar Corona Structures Segmentation by Deep Learning
    • [cond-mat.soft]Vibration Improves Performance in Granular Jamming Grippers
    • [cs.AI]A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
    • [cs.AI]A formalisation of BPMN in Description Logics
    • [cs.AI]Early and Revocable Time Series Classification
    • [cs.AI]Facilitating human-wildlife cohabitation through conflict prediction
    • [cs.AI]K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
    • [cs.AI]Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
    • [cs.AI]Reactive Answer Set Programming
    • [cs.AI]Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion
    • [cs.AI]Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
    • [cs.CL]A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
    • [cs.CL]Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
    • [cs.CL]BFClass: A Backdoor-free Text Classification Framework
    • [cs.CL]COVR: A test-bed for Visually Grounded Compositional Generalization with real images
    • [cs.CL]Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
    • [cs.CL]Contrastive Learning for Fair Representations
    • [cs.CL]DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
    • [cs.CL]Enriching and Controlling Global Semantics for Text Summarization
    • [cs.CL]Evaluating Debiasing Techniques for Intersectional Biases
    • [cs.CL]FCM: A Fine-grained Comparison Model forMulti-turn Dialogue Reasoning
    • [cs.CL]Fairness-aware Class Imbalanced Learning
    • [cs.CL]Grammatical Profiling for Semantic Change Detection
    • [cs.CL]HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
    • [cs.CL]MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
    • [cs.CL]NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
    • [cs.CL]Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation
    • [cs.CL]RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing
    • [cs.CL]Recursively Summarizing Books with Human Feedback
    • [cs.CL]Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages
    • [cs.CL]Salience-Aware Event Chain Modeling for Narrative Understanding
    • [cs.CL]Scalable and Efficient MoE Training for Multitask Multilingual Models
    • [cs.CL]Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
    • [cs.CL]Simulated Annealing for Emotional Dialogue Systems
    • [cs.CL]Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio’s Decameron
    • [cs.CL]The NiuTrans Machine Translation Systems for WMT21
    • [cs.CL]Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication
    • [cs.CL]TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
    • [cs.CL]Unsupervised Contextualized Document Representation
    • [cs.CL]What Would it Take to get Biomedical QA Systems into Practice?
    • [cs.CR]A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index
    • [cs.CR]Partial sensitivity analysis in differential privacy
    • [cs.CV]A Method For Adding Motion-Blur on Arbitrary Objects By using Auto-Segmentation and Color Compensation Techniques
    • [cs.CV]A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
    • [cs.CV]A deep neural network for multi-species fish detection using multiple acoustic cameras
    • [cs.CV]AI in Osteoporosis
    • [cs.CV]Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing
    • [cs.CV]Caption Enriched Samples for Improving Hateful Memes Detection
    • [cs.CV]Coast Sargassum Level Estimation from Smartphone Pictures
    • [cs.CV]Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images
    • [cs.CV]Differentiable Surface Triangulation
    • [cs.CV]DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing
    • [cs.CV]Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
    • [cs.CV]FaceEraser: Removing Facial Parts for Augmented Reality
    • [cs.CV]Finding Facial Forgery Artifacts with Parts-Based Detectors
    • [cs.CV]Generating Compositional Color Representations from Text
    • [cs.CV]Hierarchical Multimodal Transformer to Summarize Videos
    • [cs.CV]HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation
    • [cs.CV]Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
    • [cs.CV]KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation
    • [cs.CV]Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
    • [cs.CV]Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
    • [cs.CV]MVM3Det: A Novel Method for Multi-view Monocular 3D Detection
    • [cs.CV]Natural Language Video Localization with Learnable Moment Proposals
    • [cs.CV]Pix2seq: A Language Modeling Framework for Object Detection
    • [cs.CV]Single Image Dehazing with An Independent Detail-Recovery Network
    • [cs.CV]StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
    • [cs.CV]TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression
    • [cs.CV]Towards a Real-Time Facial Analysis System
    • [cs.CY]The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
    • [cs.DB]Query Evaluation in DatalogMTL — Taming Infinite Query Results
    • [cs.DC]Code modernization strategies for short-range non-bonded molecular dynamics simulations
    • [cs.DC]DHT-based Communications Survey: Architectures and Use Cases
    • [cs.DC]Decentralized Wireless Federated Learning with Differential Privacy
    • [cs.DC]Frisbee: automated testing of Cloud-native applications in Kubernetes
    • [cs.DC]On Conflict-Free Replicated Data Types and Equivocation in Byzantine Setups
    • [cs.DC]Transcoding Billions of Unicode Characters per Second with SIMD Instructions
    • [cs.DM]Graph type expressivity and transformations
    • [cs.GR]Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
    • [cs.HC]Natural Typing Recognition vis Surface Electromyography
    • [cs.IR]A Survey on Reinforcement Learning for Recommender Systems
    • [cs.IR]Context-aware Tree-based Deep Model for Recommender Systems
    • [cs.IR]Investigating Entropy for Extractive Document Summarization
    • [cs.IR]Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection
    • [cs.IR]Why Don’t You Click: Neural Correlates of Non-Click Behaviors in Web Search
    • [cs.IT]Beamforming Design for IRS-aided Decode-and-Forward Relay Wireless Network
    • [cs.IT]Efficient Partial Rewind of Polar Codes’ Successive Cancellation-based Decoders for Re-decoding Attempts
    • [cs.IT]Enabling Large-Scale Federated Learning over Wireless Edge Networks
    • [cs.IT]Numerically Stable Binary Coded Computations
    • [cs.LG]A Spectral Approach to Off-Policy Evaluation for POMDPs
    • [cs.LG]A Workflow for Offline Model-Free Robotic Reinforcement Learning
    • [cs.LG]Achieving Counterfactual Fairness for Causal Bandit
    • [cs.LG]Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
    • [cs.LG]An automatic differentiation system for the age of differential privacy
    • [cs.LG]Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis
    • [cs.LG]Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
    • [cs.LG]Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
    • [cs.LG]CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
    • [cs.LG]Causal Inference in Non-linear Time-series usingDeep Networks and Knockoff Counterfactuals
    • [cs.LG]Classification with Nearest Disjoint Centroids
    • [cs.LG]Cramér-Rao bound-informed training of neural networks for quantitative MRI
    • [cs.LG]Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data
    • [cs.LG]Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach
    • [cs.LG]Diarisation using Location tracking with agglomerative clustering
    • [cs.LG]Differentiable Scaffolding Tree for Molecular Optimization
    • [cs.LG]Emulating Aerosol Microphysics with a Machine Learning
    • [cs.LG]Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods
    • [cs.LG]Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
    • [cs.LG]Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
    • [cs.LG]Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances
    • [cs.LG]High-dimensional Bayesian Optimization for CNN Auto Pruning with Clustering and Rollback
    • [cs.LG]Improved Multi-label Classification with Frequent Label-set Mining and Association
    • [cs.LG]Index 今日学术视野(2021.9.24) - 图1-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings
    • [cs.LG]Introducing Symmetries to Black Box Meta Reinforcement Learning
    • [cs.LG]LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
    • [cs.LG]Learning by Examples Based on Multi-level Optimization
    • [cs.LG]MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
    • [cs.LG]Multi-Slice Clustering for 3-order Tensor Data
    • [cs.LG]Neural forecasting at scale
    • [cs.LG]Neural network relief: a pruning algorithm based on neural activity
    • [cs.LG]Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
    • [cs.LG]Quantifying Model Predictive Uncertainty with Perturbation Theory
    • [cs.LG]Selecting Datasets for Evaluating an Enhanced Deep Learning Framework
    • [cs.LG]Self-Supervised Learning to Prove Equivalence Between Programs via Semantics-Preserving Rewrite Rules
    • [cs.LG]Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing
    • [cs.LG]The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data
    • [cs.LG]Updating Embeddings for Dynamic Knowledge Graphs
    • [cs.NE]GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
    • [cs.NE]Learning through structure: towards deep neuromorphic knowledge graph embeddings
    • [cs.NE]Mapping and Validating a Point Neuron Model on Intel’s Neuromorphic Hardware Loihi
    • [cs.NE]Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network
    • [cs.NI]ENERO: Efficient Real-Time Routing Optimization
    • [cs.RO]A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure
    • [cs.RO]AI-HRI 2021 Proceedings
    • [cs.RO]ARROCH Augmented Reality for Robots Collaborating with a Human
    • [cs.RO]Anti-degenerated UWB-LiDAR Localization for Automatic Road Roller in Tunnel
    • [cs.RO]Audio-Visual Grounding Referring Expression for Robotic Manipulation
    • [cs.RO]Autonomous Blimp Control using Deep Reinforcement Learning
    • [cs.RO]Autonomous Cooperative Transportation System involving Multi-Aerial Robots with Variable Attachment Mechanism
    • [cs.RO]Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-like Model
    • [cs.RO]Efficient Object Manipulation to an Arbitrary Goal Pose: Learning-based Anytime Prioritized Planning
    • [cs.RO]Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
    • [cs.RO]Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning
    • [cs.RO]Infrastructure Node-based Vehicle Localization for Autonomous Driving
    • [cs.RO]Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021
    • [cs.RO]Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision
    • [cs.RO]Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving
    • [cs.RO]On Reference Solutions to Non-Gaussian SLAM Factor Graphs
    • [cs.RO]Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps
    • [cs.RO]The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human Environments
    • [cs.RO]Third-party Evaluation of Robotic Hand Designs Using a Mechanical Glove
    • [cs.RO]Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques
    • [cs.SD]Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network
    • [cs.SI]A Hierarchical Network-Oriented Analysis of User Participation in Misinformation Spread on WhatsApp
    • [cs.SI]Extremism & Whataboutism: A Case Study on Bangalore Riots
    • [cs.SI]Investigating and Modeling the Dynamics of Long Ties
    • [cs.SI]Popping the bubble may not be enough: news media role in online political polarization
    • [cs.SI]Population-scale dietary interests during the COVID-19 pandemic
    • [cs.SI]The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks
    • [econ.EM]Discussing anthropogenic global warming from an econometric perspective: a change scenario based on the Arima paleoclimate time series model
    • [eess.IV]An Ultra-Fast Method for Simulation of Realistic Ultrasound Images
    • [eess.IV]DVC-P: Deep Video Compression with Perceptual Optimizations
    • [eess.IV]Efficient Context-Aware Network for Abdominal Multi-organ Segmentation
    • [eess.IV]Joint Optical Neuroimaging Denoising with Semantic Tasks
    • [eess.IV]Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
    • [eess.IV]Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
    • [eess.SP]Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation
    • [eess.SP]Digital Signal Processing Using Deep Neural Networks
    • [eess.SP]On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats
    • [eess.SP]Sensor-Based Satellite IoT for Early Wildfire Detection
    • [eess.SY]Computing Complexity-aware Plans Using Kolmogorov Complexity
    • [eess.SY]Incorporating Data Uncertainty in Object Tracking Algorithms
    • [eess.SY]Nonlinear Attitude Estimation Using Intermittent Linear Velocity and Vector Measurements
    • [eess.SY]Stigmergy-based collision-avoidance algorithm for self-organising swarms
    • [eess.SY]Towards cyber-physical systems robust to communication delays: A differential game approach
    • [math.OC]Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field
    • [math.OC]Imitation Learning of Stabilizing Policies for Nonlinear Systems
    • [math.OC]Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators
    • [math.PR]Law of Large Numbers for Risk Measures
    • [math.ST]Contraction rates for sparse variational approximations in Gaussian process regression
    • [math.ST]Minimax Rates for Conditional Density Estimation via Empirical Entropy
    • [math.ST]Minimax Rates for STIT and Poisson Hyperplane Random Forests
    • [math.ST]Robust Estimation of High-Dimensional Vector Autoregressive Models
    • [math.ST]Sparse Uniformity Testing
    • [physics.ao-ph]Learned Benchmarks for Subseasonal Forecasting
    • [physics.flu-dyn]An artificial neural network approach to bifurcating phenomena in computational fluid dynamics
    • [physics.med-ph]Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks
    • [q-bio.QM]Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans
    • [stat.AP]A Data-Analytic Evaluation of Smoking Cessation via Online Hypnosis
    • [stat.AP]A New Robust Scalable Singular Value Decomposition Algorithm for Video Surveillance Background Modelling
    • [stat.AP]Estimations of the Conditional Tail Average Treatment Effect
    • [stat.ME]Adaptive Contrast Test for Dose-Response Studies and Modeling
    • [stat.ME]Minimax Rates and Adaptivity in Combining Experimental and Observational Data
    • [stat.ME]More powerful selective inference for the graph fused lasso
    • [stat.ME]On Reparameterization Invariant Bayesian Point Estimates and Credible Regions
    • [stat.ME]Two-level Bayesian interaction analysis for survival data incorporating pathway information
    • [stat.ML]A Latent Restoring Force Approach to Nonlinear System Identification
    • [stat.ML]A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems
    • [stat.ML]Entropic Issues in Likelihood-Based OOD Detection
    • [stat.ML]Personalized Online Machine Learning
    • [stat.ML]Sharp Analysis of Random Fourier Features in Classification

    ·····································

    • [astro-ph.CO]Robust marginalization of baryonic effects for cosmological inference at the field level
    Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar, David N. Spergel, Yin Li, Benjamin Wandelt, Leander Thiele, Andrina Nicola, Jose Manuel Zorrilla Matilla, Helen Shao, Sultan Hassan, Desika Narayanan, Romeel Dave, Mark Vogelsberger
    http://arxiv.org/abs/2109.10360v1

    • [astro-ph.EP]Identifying Potential Exomoon Signals with Convolutional Neural Networks
    Alex Teachey, David Kipping
    http://arxiv.org/abs/2109.10503v1

    • [astro-ph.GA]Functional Data Analysis for Extracting the Intrinsic Dimensionality of Spectra — Application: Chemical Homogeneity in Open Cluster M67
    Aarya A. Patil, Jo Bovy, Gwendolyn Eadie, Sebastian Jaimungal
    http://arxiv.org/abs/2109.10891v1

    • [astro-ph.IM]Astronomical Pipeline Provenance: A Use Case Evaluation
    Michael A. C. Johnson, Marcus Paradies, Marta Dembska, Kristen Lackeos, Hans-Rainer Klöckner, David J. Champion, Sirko Schindler
    http://arxiv.org/abs/2109.10759v1

    • [astro-ph.SR]SCSS-Net: Solar Corona Structures Segmentation by Deep Learning
    Šimon Mackovjak, Martin Harman, Viera Maslej-Krešňáková, Peter Butka
    http://arxiv.org/abs/2109.10834v1

    • [cond-mat.soft]Vibration Improves Performance in Granular Jamming Grippers
    Raghav Mishra, Tyson Philips, Gary W. Delaney, David Howard
    http://arxiv.org/abs/2109.10496v1

    • [cs.AI]A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
    Yuqi Liu, Qichao Zhang, Dongbin Zhao
    http://arxiv.org/abs/2109.10557v1

    • [cs.AI]A formalisation of BPMN in Description Logics
    Chiara Ghidini, Marco Rospocher, Luciano Serafini
    http://arxiv.org/abs/2109.10716v1

    • [cs.AI]Early and Revocable Time Series Classification
    Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
    http://arxiv.org/abs/2109.10285v2

    • [cs.AI]Facilitating human-wildlife cohabitation through conflict prediction
    Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe
    http://arxiv.org/abs/2109.10637v1

    • [cs.AI]K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
    Fu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen, Xingyi Cheng, Ji Zhang
    http://arxiv.org/abs/2109.10547v1

    • [cs.AI]Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
    Roy Zohar, Shie Mannor, Guy Tennenholtz
    http://arxiv.org/abs/2109.10632v1

    • [cs.AI]Reactive Answer Set Programming
    Krysia Broda, Fariba Sadri, Stephen Butler
    http://arxiv.org/abs/2109.10633v1

    • [cs.AI]Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion
    Tobias Müller, Kyrill Schmid, Daniëlle Schuman, Thomas Gabor, Markus Friedrich, Marc Geitz
    http://arxiv.org/abs/2109.10617v1

    • [cs.AI]Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
    Tobias Müller, Christoph Roch, Kyrill Schmid, Philipp Altmann
    http://arxiv.org/abs/2109.10900v1

    • [cs.CL]A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
    Man Luo, Shuguang Chen, Chitta Baral
    http://arxiv.org/abs/2109.10497v1

    • [cs.CL]Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
    Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou
    http://arxiv.org/abs/2109.10540v1

    • [cs.CL]BFClass: A Backdoor-free Text Classification Framework
    Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang
    http://arxiv.org/abs/2109.10855v1

    • [cs.CL]COVR: A test-bed for Visually Grounded Compositional Generalization with real images
    Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
    http://arxiv.org/abs/2109.10613v1

    • [cs.CL]Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
    Dheeraj Mekala, Varun Gangal, Jingbo Shang
    http://arxiv.org/abs/2109.10856v1

    • [cs.CL]Contrastive Learning for Fair Representations
    Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
    http://arxiv.org/abs/2109.10645v1

    • [cs.CL]DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
    Zhenyu Zhang, Tao Guo, Meng Chen
    http://arxiv.org/abs/2109.10480v1

    • [cs.CL]Enriching and Controlling Global Semantics for Text Summarization
    Thong Nguyen, Anh Tuan Luu, Truc Lu, Tho Quan
    http://arxiv.org/abs/2109.10616v1

    • [cs.CL]Evaluating Debiasing Techniques for Intersectional Biases
    Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann
    http://arxiv.org/abs/2109.10441v1

    • [cs.CL]FCM: A Fine-grained Comparison Model forMulti-turn Dialogue Reasoning
    Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen, Zhuoye Ding, Bo Cheng, Yanyan Lan
    http://arxiv.org/abs/2109.10510v1

    • [cs.CL]Fairness-aware Class Imbalanced Learning
    Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann
    http://arxiv.org/abs/2109.10444v1

    • [cs.CL]Grammatical Profiling for Semantic Change Detection
    Mario Giulianelli, Andrey Kutuzov, Lidia Pivovarova
    http://arxiv.org/abs/2109.10397v1

    • [cs.CL]HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
    Mingyu Derek Ma, Muhao Chen, Te-Lin Wu, Nanyun Peng
    http://arxiv.org/abs/2109.10500v1

    • [cs.CL]MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
    Xinnuo Xu, Ondřej Dušek, Shashi Narayan, Verena Rieser, Ioannis Konstas
    http://arxiv.org/abs/2109.10650v1

    • [cs.CL]NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
    Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
    http://arxiv.org/abs/2109.10604v1

    • [cs.CL]Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation
    Diptesh Kanojia, Marina Fomicheva, Tharindu Ranasinghe, Frédéric Blain, Constantin Orăsan, Lucia Specia
    http://arxiv.org/abs/2109.10859v1

    • [cs.CL]RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing
    Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov
    http://arxiv.org/abs/2109.10410v1

    • [cs.CL]Recursively Summarizing Books with Human Feedback
    Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nissan Stiennon, Ryan Lowe, Jan Leike, Paul Christiano
    http://arxiv.org/abs/2109.10862v1

    • [cs.CL]Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages
    Tejas Indulal Dhamecha, Rudra Murthy V, Samarth Bharadwaj, Karthik Sankaranarayanan, Pushpak Bhattacharyya
    http://arxiv.org/abs/2109.10534v1

    • [cs.CL]Salience-Aware Event Chain Modeling for Narrative Understanding
    Xiyang Zhang, Muhao Chen, Jonathan May
    http://arxiv.org/abs/2109.10475v1

    • [cs.CL]Scalable and Efficient MoE Training for Multitask Multilingual Models
    Young Jin Kim, Ammar Ahmad Awan, Alexandre Muzio, Andres Felipe Cruz Salinas, Liyang Lu, Amr Hendy, Samyam Rajbhandari, Yuxiong He, Hany Hassan Awadalla
    http://arxiv.org/abs/2109.10465v1

    • [cs.CL]Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
    Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
    http://arxiv.org/abs/2109.10686v1

    • [cs.CL]Simulated Annealing for Emotional Dialogue Systems
    Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou
    http://arxiv.org/abs/2109.10715v1

    • [cs.CL]Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio’s Decameron
    A. Feder Cooper, Maria Antoniak, Christopher De Sa, Marilyn Migiel, David Mimno
    http://arxiv.org/abs/2109.10506v1

    • [cs.CL]The NiuTrans Machine Translation Systems for WMT21
    Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu
    http://arxiv.org/abs/2109.10485v1

    • [cs.CL]Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication
    Gilchan Park, Julia Taylor Rayz, Cleveland G. Shields
    http://arxiv.org/abs/2109.10514v1

    • [cs.CL]TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
    Minghao Li, Tengchao Lv, Lei Cui, Yijuan Lu, Dinei Florencio, Cha Zhang, Zhoujun Li, Furu Wei
    http://arxiv.org/abs/2109.10282v2

    • [cs.CL]Unsupervised Contextualized Document Representation
    Ankur Gupta, Vivek Gupta
    http://arxiv.org/abs/2109.10509v1

    • [cs.CL]What Would it Take to get Biomedical QA Systems into Practice?
    Gregory Kell, Iain J. Marshall, Byron C. Wallace, Andre Jaun
    http://arxiv.org/abs/2109.10415v1

    • [cs.CR]A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index
    Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert
    http://arxiv.org/abs/2109.10528v1

    • [cs.CR]Partial sensitivity analysis in differential privacy
    Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis
    http://arxiv.org/abs/2109.10582v1

    • [cs.CV]A Method For Adding Motion-Blur on Arbitrary Objects By using Auto-Segmentation and Color Compensation Techniques
    Michihiro Mikamo, Ryo Furukawa, Hiroshi Kawasaki
    http://arxiv.org/abs/2109.10524v1

    • [cs.CV]A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
    Robin Camarasa, Daniel Bos, Jeroen Hendrikse, Paul Nederkoorn, M. Eline Kooi, Aad van der Lugt, Marleen de Bruijne
    http://arxiv.org/abs/2109.10702v1

    • [cs.CV]A deep neural network for multi-species fish detection using multiple acoustic cameras
    Garcia Fernandez Guglielmo, François Martignac, Marie Nevoux, Laurent Beaulaton, Thomas Corpetti
    http://arxiv.org/abs/2109.10664v1

    • [cs.CV]AI in Osteoporosis
    Sokratis Makrogiannis, Keni Zheng
    http://arxiv.org/abs/2109.10478v1

    • [cs.CV]Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing
    Samayan Bhattacharya, Sk Shahnawaz
    http://arxiv.org/abs/2109.10733v1

    • [cs.CV]Caption Enriched Samples for Improving Hateful Memes Detection
    Efrat Blaier, Itzik Malkiel, Lior Wolf
    http://arxiv.org/abs/2109.10649v1

    • [cs.CV]Coast Sargassum Level Estimation from Smartphone Pictures
    Uriarte-Arcia Abril Valeria, Vasquez-Gomez Juan Irving, Taud Hind, Garcia-Floriano Andres, Ventura-Molina Elias
    http://arxiv.org/abs/2109.10390v1

    • [cs.CV]Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images
    Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
    http://arxiv.org/abs/2109.10777v1

    • [cs.CV]Differentiable Surface Triangulation
    Marie-Julie Rakotosaona, Noam Aigerman, Niloy Mitra, Maks Ovsjanikov, Paul Guerrero
    http://arxiv.org/abs/2109.10695v1

    • [cs.CV]DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing
    Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Miao Hua, Qian He, Zili Yi
    http://arxiv.org/abs/2109.10737v1

    • [cs.CV]Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
    Sajjad Mozaffari, Eduardo Arnold, Mehrdad Dianati, Saber Fallah
    http://arxiv.org/abs/2109.10742v1

    • [cs.CV]FaceEraser: Removing Facial Parts for Augmented Reality
    Miao Hua, Lijie Liu, Ziyang Cheng, Qian He, Bingchuan Li, Zili Yi
    http://arxiv.org/abs/2109.10760v1

    • [cs.CV]Finding Facial Forgery Artifacts with Parts-Based Detectors
    Steven Schwarcz, Rama Chellappa
    http://arxiv.org/abs/2109.10688v1

    • [cs.CV]Generating Compositional Color Representations from Text
    Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay
    http://arxiv.org/abs/2109.10477v1

    • [cs.CV]Hierarchical Multimodal Transformer to Summarize Videos
    Bin Zhao, Maoguo Gong, Xuelong Li
    http://arxiv.org/abs/2109.10559v1

    • [cs.CV]HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation
    Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baque, Jonathan Donier, Pascal Fua
    http://arxiv.org/abs/2109.10767v1

    • [cs.CV]Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
    IlWi Yun, Hyuk-Jae Lee, Chae Eun Rhee
    http://arxiv.org/abs/2109.10563v1

    • [cs.CV]KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation
    Yongfei Liu, Chenfei Wu, Shao-yen Tseng, Vasudev Lal, Xuming He, Nan Duan
    http://arxiv.org/abs/2109.10504v1

    • [cs.CV]Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
    Zhenzhen Wang, Aleksander S. Popel, Jeremias Sulam
    http://arxiv.org/abs/2109.10778v1

    • [cs.CV]Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
    Suncheng Xiang, Guanjie You, Mengyuan Guan, Hao Chen, Feng Wang, Ting Liu, Yuzhuo Fu
    http://arxiv.org/abs/2109.10498v1

    • [cs.CV]MVM3Det: A Novel Method for Multi-view Monocular 3D Detection
    Li Haoran, Duan Zicheng, Ma Mingjun, Chen Yaran, Li Jiaqi, Zhao Dongbin
    http://arxiv.org/abs/2109.10473v1

    • [cs.CV]Natural Language Video Localization with Learnable Moment Proposals
    Shaoning Xiao, Long Chen, Jian Shao, Yueting Zhuang, Jun Xiao
    http://arxiv.org/abs/2109.10678v1

    • [cs.CV]Pix2seq: A Language Modeling Framework for Object Detection
    Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey Hinton
    http://arxiv.org/abs/2109.10852v1

    • [cs.CV]Single Image Dehazing with An Independent Detail-Recovery Network
    Yan Li, De Cheng, Jiande Sun, Dingwen Zhang, Nannan Wang, Xinbo Gao
    http://arxiv.org/abs/2109.10492v1

    • [cs.CV]StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
    Xingyu Liu, Shun Iwase, Kris M. Kitani
    http://arxiv.org/abs/2109.10115v2

    • [cs.CV]TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression
    Nikolina Kubiak, Simon Hadfield
    http://arxiv.org/abs/2109.10658v1

    • [cs.CV]Towards a Real-Time Facial Analysis System
    Bishwo Adhikari, Xingyang Ni, Esa Rahtu, Heikki Huttunen
    http://arxiv.org/abs/2109.10393v1

    • [cs.CY]The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
    Ambareesh Revanur, Zhihua Li, Umur A. Ciftci, Lijun Yin, Laszlo A. Jeni
    http://arxiv.org/abs/2109.10471v1

    • [cs.DB]Query Evaluation in DatalogMTL — Taming Infinite Query Results
    Luigi Bellomarini, Markus Nissl, Emanuel Sallinger
    http://arxiv.org/abs/2109.10691v1

    • [cs.DC]Code modernization strategies for short-range non-bonded molecular dynamics simulations
    James Vance, Zhen-Hao Xu, Nikita Tretyakov, Torsten Stuehn, Markus Rampp, Sebastian Eibl, André Brinkmann
    http://arxiv.org/abs/2109.10876v1

    • [cs.DC]DHT-based Communications Survey: Architectures and Use Cases
    Yahya Hassanzadeh-Nazarabadi, Sanaz Taheri-Boshrooyeh, Safa Otoum, Seyhan Ucar, Öznur Özkasap
    http://arxiv.org/abs/2109.10787v1

    • [cs.DC]Decentralized Wireless Federated Learning with Differential Privacy
    Shuzhen Chen, Dongxiao Yu, Yifei Zou, Jiguo Yu, Xiuzhen Cheng
    http://arxiv.org/abs/2109.09142v2

    • [cs.DC]Frisbee: automated testing of Cloud-native applications in Kubernetes
    Fotis Nikolaidis, Antony Chazapis, Manolis Marazakis, Angelos Bilas
    http://arxiv.org/abs/2109.10727v1

    • [cs.DC]On Conflict-Free Replicated Data Types and Equivocation in Byzantine Setups
    Florian Jacob, Saskia Bayreuther, Hannes Hartenstein
    http://arxiv.org/abs/2109.10554v1

    • [cs.DC]Transcoding Billions of Unicode Characters per Second with SIMD Instructions
    Daniel Lemire, Wojciech Muła
    http://arxiv.org/abs/2109.10433v1

    • [cs.DM]Graph type expressivity and transformations
    Josephine M. Thomas, Silvia Beddar-Wiesing, Alice Moallemy-Oureh, Rüdiger Nather
    http://arxiv.org/abs/2109.10708v1

    • [cs.GR]Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
    Yuanxun Lu, Jinxiang Chai, Xun Cao
    http://arxiv.org/abs/2109.10595v1

    • [cs.HC]Natural Typing Recognition vis Surface Electromyography
    Michael S. Crouch, Mingde Zheng, Michael S. Eggleston
    http://arxiv.org/abs/2109.10743v1

    • [cs.IR]A Survey on Reinforcement Learning for Recommender Systems
    Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao
    http://arxiv.org/abs/2109.10665v1

    • [cs.IR]Context-aware Tree-based Deep Model for Recommender Systems
    Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu
    http://arxiv.org/abs/2109.10602v1

    • [cs.IR]Investigating Entropy for Extractive Document Summarization
    Alka Khurana, Vasudha Bhatnagar
    http://arxiv.org/abs/2109.10886v1

    • [cs.IR]Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection
    Negar Arabzadeh, Xinyi Yan, Charles L. A. Clarke
    http://arxiv.org/abs/2109.10739v1

    • [cs.IR]Why Don’t You Click: Neural Correlates of Non-Click Behaviors in Web Search
    Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang, Shaoping Ma
    http://arxiv.org/abs/2109.10560v1

    • [cs.IT]Beamforming Design for IRS-aided Decode-and-Forward Relay Wireless Network
    Xuehui Wang, Feng Shu, Weiping Shi, Xiaopeng Liang, Rongen Dong, Jun Li, Jiangzhou Wang
    http://arxiv.org/abs/2109.10657v1

    • [cs.IT]Efficient Partial Rewind of Polar Codes’ Successive Cancellation-based Decoders for Re-decoding Attempts
    Mohammad Rowshan, Emanuele Viterbo
    http://arxiv.org/abs/2109.10466v1

    • [cs.IT]Enabling Large-Scale Federated Learning over Wireless Edge Networks
    Thinh Quang Dinh, Diep N. Nguyen, Dinh Thai Hoang, Pham Tran Vu, Eryk Dutkiewicz
    http://arxiv.org/abs/2109.10489v1

    • [cs.IT]Numerically Stable Binary Coded Computations
    Neophytos Charalambides, Hessam Mahdavifar, Alfred O. Hero III
    http://arxiv.org/abs/2109.10484v1

    • [cs.LG]A Spectral Approach to Off-Policy Evaluation for POMDPs
    Yash Nair, Nan Jiang
    http://arxiv.org/abs/2109.10502v1

    • [cs.LG]A Workflow for Offline Model-Free Robotic Reinforcement Learning
    Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn
    http://arxiv.org/abs/2109.10813v1

    • [cs.LG]Achieving Counterfactual Fairness for Causal Bandit
    Wen Huang, Lu Zhang, Xintao Wu
    http://arxiv.org/abs/2109.10458v1

    • [cs.LG]Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
    Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
    http://arxiv.org/abs/2109.10683v1

    • [cs.LG]An automatic differentiation system for the age of differential privacy
    Dmitrii Usyni
    c7e
    n, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
    http://arxiv.org/abs/2109.10573v1

    • [cs.LG]Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis
    Zeyuan Yin, Ye Yuan, Panfeng Guo, Pan Zhou
    http://arxiv.org/abs/2109.10512v1

    • [cs.LG]Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
    Junjie Wang, Qichao Zhang, Dongbin Zhao
    http://arxiv.org/abs/2109.10490v1

    • [cs.LG]Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
    Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy
    http://arxiv.org/abs/2109.10432v1

    • [cs.LG]CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks
    Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan Oseledets
    http://arxiv.org/abs/2109.10696v1

    • [cs.LG]Causal Inference in Non-linear Time-series usingDeep Networks and Knockoff Counterfactuals
    Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
    http://arxiv.org/abs/2109.10817v1

    • [cs.LG]Classification with Nearest Disjoint Centroids
    Nicolas Fraiman, Zichao Li
    http://arxiv.org/abs/2109.10436v1

    • [cs.LG]Cramér-Rao bound-informed training of neural networks for quantitative MRI
    Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer
    http://arxiv.org/abs/2109.10535v1

    • [cs.LG]Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data
    Akram Hussain
    http://arxiv.org/abs/2109.10642v1

    • [cs.LG]Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach
    Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil
    http://arxiv.org/abs/2109.10380v1

    • [cs.LG]Diarisation using Location tracking with agglomerative clustering
    Jeremy H. M. Wong, Igor Abramovski, Xiong Xiao, Yifan Gong
    http://arxiv.org/abs/2109.10598v1

    • [cs.LG]Differentiable Scaffolding Tree for Molecular Optimization
    Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
    http://arxiv.org/abs/2109.10469v1

    • [cs.LG]Emulating Aerosol Microphysics with a Machine Learning
    Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas Gauger, Philip Stier, Janis Keuper
    http://arxiv.org/abs/2109.10593v1

    • [cs.LG]Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods
    Baturay Saglam, Enes Duran, Dogan C. Cicek, Furkan B. Mutlu, Suleyman S. Kozat
    http://arxiv.org/abs/2109.10736v1

    • [cs.LG]Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
    Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin
    http://arxiv.org/abs/2109.10770v1

    • [cs.LG]Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
    Haewon Jeong, Hao Wang, Flavio P. Calmon
    http://arxiv.org/abs/2109.10431v1

    • [cs.LG]Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances
    Lenka Kuklišová Pavelková, Ladislav Jirsa, Anthony Quinn
    http://arxiv.org/abs/2109.10596v1

    • [cs.LG]High-dimensional Bayesian Optimization for CNN Auto Pruning with Clustering and Rollback
    Jiandong Mu, Hanwei Fan, Wei Zhang
    http://arxiv.org/abs/2109.10591v1

    • [cs.LG]Improved Multi-label Classification with Frequent Label-set Mining and Association
    Anwesha Law, Ashish Ghosh
    http://arxiv.org/abs/2109.10797v1

    • [cs.LG]Index 今日学术视野(2021.9.24) - 图2-SNE: Tracking Dynamics of High-Dimensional Datasets with Coherent Embeddings
    Gaëlle Candel, David Naccache
    http://arxiv.org/abs/2109.10538v1

    • [cs.LG]Introducing Symmetries to Black Box Meta Reinforcement Learning
    Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram Friesen, Junhyuk Oh, Yutian Chen
    http://arxiv.org/abs/2109.10781v1

    • [cs.LG]LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
    Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
    http://arxiv.org/abs/2109.10640v1

    • [cs.LG]Learning by Examples Based on Multi-level Optimization
    Shentong Mo, Pengtao Xie
    http://arxiv.org/abs/2109.10824v1

    • [cs.LG]MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
    Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu
    http://arxiv.org/abs/2109.10552v1

    • [cs.LG]Multi-Slice Clustering for 3-order Tensor Data
    Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
    http://arxiv.org/abs/2109.10803v1

    • [cs.LG]Neural forecasting at scale
    Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude, Boris N. Oreshkin
    http://arxiv.org/abs/2109.09705v3

    • [cs.LG]Neural network relief: a pruning algorithm based on neural activity
    Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa
    http://arxiv.org/abs/2109.10795v1

    • [cs.LG]Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
    Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang
    http://arxiv.org/abs/2109.10020v2

    • [cs.LG]Quantifying Model Predictive Uncertainty with Perturbation Theory
    Rishabh Singh, Jose C. Principe
    http://arxiv.org/abs/2109.10888v1

    • [cs.LG]Selecting Datasets for Evaluating an Enhanced Deep Learning Framework
    Kudakwashe Dandajena, Isabella M. Venter, Mehrdad Ghaziasgar, Reg Dodds
    http://arxiv.org/abs/2109.10442v1

    • [cs.LG]Self-Supervised Learning to Prove Equivalence Between Programs via Semantics-Preserving Rewrite Rules
    Steve Kommrusch, Martin Monperrus, Louis-Noël Pouchet
    http://arxiv.org/abs/2109.10476v1

    • [cs.LG]Small-Bench NLP: Benchmark for small single GPU trained models in Natural Language Processing
    Kamal Raj Kanakarajan, Bhuvana Kundumani, Malaikannan Sankarasubbu
    http://arxiv.org/abs/2109.10847v1

    • [cs.LG]The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data
    Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
    http://arxiv.org/abs/2109.10569v1

    • [cs.LG]Updating Embeddings for Dynamic Knowledge Graphs
    Christopher Wewer, Florian Lemmerich, Michael Cochez
    http://arxiv.org/abs/2109.10896v1

    • [cs.NE]GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
    SayedHassan Khatoonabadi, Shahriar Lotfi, Ayaz Isazadeh
    http://arxiv.org/abs/2109.10430v1

    • [cs.NE]Learning through structure: towards deep neuromorphic knowledge graph embeddings
    Victor Caceres Chian, Marcel Hildebrandt, Thomas Runkler, Dominik Dold
    http://arxiv.org/abs/2109.10376v1

    • [cs.NE]Mapping and Validating a Point Neuron Model on Intel’s Neuromorphic Hardware Loihi
    Srijanie Dey, Alexander Dimitrov
    http://arxiv.org/abs/2109.10835v1

    • [cs.NE]Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network
    Zhenshan Bing, Amir EI Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois Knoll
    http://arxiv.org/abs/2109.10689v1

    • [cs.NI]ENERO: Efficient Real-Time Routing Optimization
    Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio
    http://arxiv.org/abs/2109.10883v1

    • [cs.RO]A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure
    Paras Sharma, Prithvi Poddar, P. B. Sujit
    http://arxiv.org/abs/2109.10488v1

    • [cs.RO]AI-HRI 2021 Proceedings
    Reuth Mirsky, Megan Zimmerman, Muneed Ahmad, Shelly Bagchi, Felix Gervits, Zhao Han, Daniel Hernández García, Matteo Leonetti, Ross Mead, Emmanuel Senft, Jivko Sinapov, Jason Wilson
    http://arxiv.org/abs/2109.10836v1

    • [cs.RO]ARROCH Augmented Reality for Robots Collaborating with a Human
    Kishan Chandan, Vidisha Kudalkar, Xiang Li, Shiqi Zhang
    http://arxiv.org/abs/2109.10400v1

    • [cs.RO]Anti-degenerated UWB-LiDAR Localization for Automatic Road Roller in Tunnel
    Bingqi Shen, Yuyin Chen, Huiyong Yang, Jianbo Zhan, Yichao Sun, Rong Xiong, Shuwei Dai, Yue Wang
    http://arxiv.org/abs/2109.10513v1

    • [cs.RO]Audio-Visual Grounding Referring Expression for Robotic Manipulation
    Yefei Wang, Kaili Wang, Yi Wang, Di Guo, Huaping Liu, Fuchun Sun
    http://arxiv.org/abs/2109.10571v1

    • [cs.RO]Autonomous Blimp Control using Deep Reinforcement Learning
    Yu Tang Liu, Eric Price, Pascal Goldschmid, Michael J. Black, Aamir Ahmad
    http://arxiv.org/abs/2109.10719v1

    • [cs.RO]Autonomous Cooperative Transportation System involving Multi-Aerial Robots with Variable Attachment Mechanism
    Koshi Oishi, Tomohiko Jimbo
    http://arxiv.org/abs/2109.10575v1

    • [cs.RO]Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-like Model
    Hongbo Zhang, Yunshuang Li, Yipin Guo, Xinyi Chen, Qinyuan Ren
    http://arxiv.org/abs/2109.10750v1

    • [cs.RO]Efficient Object Manipulation to an Arbitrary Goal Pose: Learning-based Anytime Prioritized Planning
    Kechun Xu, Hongxiang Yu, Renlang Huang, Dashun Guo, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2109.10583v1

    • [cs.RO]Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
    Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff
    http://arxiv.org/abs/2109.10443v1

    • [cs.RO]Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning
    K. Niranjan Kumar, Irfan Essa, Sehoon Ha
    http://arxiv.org/abs/2109.10460v1

    • [cs.RO]Infrastructure Node-based Vehicle Localization for Autonomous Driving
    Elijah S. Lee, Ankit Vora, Armin Parchami, Punarjay Chakravarty, Gaurav Pandey, Vijay Kumar
    http://arxiv.org/abs/2109.10457v1

    • [cs.RO]Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021
    Naoki Yokoyama, Qian Luo, Dhruv Batra, Sehoon Ha
    http://arxiv.org/abs/2109.10493v1

    • [cs.RO]Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision
    Kishan Chandan, Jack Albertson, Xiaohan Zhang, Xiaoyang Zhang, Yao Liu, Shiqi Zhang
    http://arxiv.org/abs/2109.10385v1

    • [cs.RO]Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving
    Vivek K. Adajania, Aditya Sharma, Anish Gupta, Houman Masnavi, K Madhava Krishna, Arun K. Singh
    http://arxiv.org/abs/2109.10392v1

    • [cs.RO]On Reference Solutions to Non-Gaussian SLAM Factor Graphs
    Qiangqiang Huang, Alan Papalia, John J. Leonard
    http://arxiv.org/abs/2109.10871v1

    • [cs.RO]Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps
    Mohammad Mahdavian, KangKang Yin, Mo Chen
    http://arxiv.org/abs/2109.10445v1

    • [cs.RO]The Design of Stretch: A Compact, Lightweight Mobile Manipulator for Indoor Human Environments
    Charles C. Kemp, Aaron Edsinger, Henry M. Clever, Blaine Matulevich
    http://arxiv.org/abs/2109.10892v1

    • [cs.RO]Third-party Evaluation of Robotic Hand Designs Using a Mechanical Glove
    Takayuki Kanai, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi
    http://arxiv.org/abs/2109.10501v1

    • [cs.RO]Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques
    Theodor Westny, Erik Frisk, Björn Olofsson
    http://arxiv.org/abs/2109.10656v1

    • [cs.SD]Low-Latency Incremental Text-to-Speech Synthesis with Distilled Context Prediction Network
    Takaaki Saeki, Shinnosuke Takamichi, Hiroshi Saruwatari
    http://arxiv.org/abs/2109.10724v1

    • [cs.SI]A Hierarchical Network-Oriented Analysis of User Participation in Misinformation Spread on WhatsApp
    Gabriel Peres Nobre, Carlos H. G. Ferreira, Jussara M. Almeida
    http://arxiv.org/abs/2109.10462v1

    • [cs.SI]Extremism & Whataboutism: A Case Study on Bangalore Riots
    Saloni Dash, Gazal Shekhawat, Syeda Zainab Akbar, Joyojeet Pal
    http://arxiv.org/abs/2109.10526v1

    • [cs.SI]Investigating and Modeling the Dynamics of Long Ties
    Ding Lyu, Yuan Yuan, Lin Wang, Xiaofan Wang, Alex Pentland
    http://arxiv.org/abs/2109.10523v1

    • [cs.SI]Popping the bubble may not be enough: news media role in online political polarization
    Jordan K Kobellarz, Milos Brocic, Alexandre R Graeml, Daniel Silver, Thiago H Silva
    http://arxiv.org/abs/org/abs/2109.08906v1

    • [cs.SI]Population-scale dietary interests during the COVID-19 pandemic
    Kristina Gligoric, Arnaud Chiolero, Emre Kıcıman, Ryen W. White, Robert West
    http://arxiv.org/abs/2109.10808v1

    • [cs.SI]The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks
    Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy
    http://arxiv.org/abs/2109.10703v1

    • [econ.EM]Discussing anthropogenic global warming from an econometric perspective: a change scenario based on the Arima paleoclimate time series model
    Gilmar V. F. Santos, Lucas G. Cordeiro, Claudio A. Rojo e Edison L. Leismann
    http://arxiv.org/abs/2109.10419v1

    • [eess.IV]An Ultra-Fast Method for Simulation of Realistic Ultrasound Images
    Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz
    http://arxiv.org/abs/2109.10353v1

    • [eess.IV]DVC-P: Deep Video Compression with Perceptual Optimizations
    Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz, Shuai Wan, Fuzheng Yang
    http://arxiv.org/abs/2109.10849v1

    • [eess.IV]Efficient Context-Aware Network for Abdominal Multi-organ Segmentation
    Fan Zhang, Yu Wang
    http://arxiv.org/abs/2109.10601v1

    • [eess.IV]Joint Optical Neuroimaging Denoising with Semantic Tasks
    Tianfang Zhu, Yue Guan, Anan Li
    http://arxiv.org/abs/2109.10499v1

    • [eess.IV]Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
    Hyungseob Shin, Hyeongyu Kim, Sewon Kim, Yohan Jun, Taejoon Eo, Dosik Hwang
    http://arxiv.org/abs/2109.10674v1

    • [eess.IV]Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
    Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
    http://arxiv.org/abs/2109.10641v1

    • [eess.SP]Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation
    Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
    http://arxiv.org/abs/2109.10581v1

    • [eess.SP]Digital Signal Processing Using Deep Neural Networks
    Brian Shevitski, Yijing Watkins, Nicole Man, Michael Girard
    http://arxiv.org/abs/2109.10404v1

    • [eess.SP]On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats
    Kaoutar Benyahya, Amirhossein Ghazisaeidi, Vahid Aref, Mathieu Chagnon, Aymeric Arnould, Stenio Ranzini, Haik Mardoyan, Fred Buchali, Jeremie Renaudier
    http://arxiv.org/abs/2109.10553v1

    • [eess.SP]Sensor-Based Satellite IoT for Early Wildfire Detection
    How-Hang Liu, Ronald Y. Chang, Yi-Ying Chen, I-Kang Fu
    http://arxiv.org/abs/2109.10505v1

    • [eess.SY]Computing Complexity-aware Plans Using Kolmogorov Complexity
    Elis Stefansson, Karl H. Johansson
    http://arxiv.org/abs/2109.10303v2

    • [eess.SY]Incorporating Data Uncertainty in Object Tracking Algorithms
    Anish Muthali, Forrest Laine, Claire Tomlin
    http://arxiv.org/abs/2109.10521v1

    • [eess.SY]Nonlinear Attitude Estimation Using Intermittent Linear Velocity and Vector Measurements
    Miaomiao Wang, Abdelhamid Tayebi
    http://arxiv.org/abs/2109.10872v1

    • [eess.SY]Stigmergy-based collision-avoidance algorithm for self-organising swarms
    Paolo Grasso, Mauro Sebastián Innocente
    http://arxiv.org/abs/2109.10761v1

    • [eess.SY]Towards cyber-physical systems robust to communication delays: A differential game approach
    Shankar A. Deka, Donggun Lee, Claire J. Tomlin
    http://arxiv.org/abs/2109.10450v1

    • [math.OC]Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field
    Stefan Ivić, Ante Sikirica, Bojan Crnković
    http://arxiv.org/abs/2109.10756v1

    • [math.OC]Imitation Learning of Stabilizing Policies for Nonlinear Systems
    Sebastian East
    http://arxiv.org/abs/2109.10854v1

    • [math.OC]Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators
    Jonas Nicodemus, Jonas Kneifl, Jörg Fehr, Benjamin Unger
    http://arxiv.org/abs/2109.10793v1

    • [math.PR]Law of Large Numbers for Risk Measures
    Freddy Delbaen
    http://arxiv.org/abs/2109.10612v1

    • [math.ST]Contraction rates for sparse variational approximations in Gaussian process regression
    Dennis Nieman, Botond Szabo, Harry van Zanten
    http://arxiv.org/abs/2109.10755v1

    • [math.ST]Minimax Rates for Conditional Density Estimation via Empirical Entropy
    Blair Bilodeau, Dylan J. Foster, Daniel M. Roy
    http://arxiv.org/abs/2109.10461v1

    • [math.ST]Minimax Rates for STIT and Poisson Hyperplane Random Forests
    Eliza O’Reilly, Ngoc Mai Tran
    http://arxiv.org/abs/2109.10541v1

    • [math.ST]Robust Estimation of High-Dimensional Vector Autoregressive Models
    Linbo Liu, Danna Zhang
    http://arxiv.org/abs/2109.10354v1

    • [math.ST]Sparse Uniformity Testing
    Bhaswar B. Bhattacharya, Rajarshi Mukherjee
    http://arxiv.org/abs/2109.10481v1

    • [physics.ao-ph]Learned Benchmarks for Subseasonal Forecasting
    Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
    http://arxiv.org/abs/2109.10399v1

    • [physics.flu-dyn]An artificial neural network approach to bifurcating phenomena in computational fluid dynamics
    Federico Pichi, Francesco Ballarin, Gianluigi Rozza, Jan S. Hesthaven
    http://arxiv.org/abs/2109.10765v1

    • [physics.med-ph]Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks
    Jan Lebert, Namita Ravi, Flavio Fenton, Jan Christoph
    http://arxiv.org/abs/2109.10472v1

    • [q-bio.QM]Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans
    Yuxiang Wu, Shang Wu, Xin Wang, Chengtian Lang, Quanshi Zhang, Quan Wen, Tianqi Xu
    http://arxiv.org/abs/2109.10474v1

    • [stat.AP]A Data-Analytic Evaluation of Smoking Cessation via Online Hypnosis
    Lorenz A. Gilch, Alexandra Wojak
    http://arxiv.org/abs/2109.10764v1

    • [stat.AP]A New Robust Scalable Singular Value Decomposition Algorithm for Video Surveillance Background Modelling
    Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
    http://arxiv.org/abs/2109.10680v1

    • [stat.AP]Estimations of the Conditional Tail Average Treatment Effect
    Le-Yu Chen, Yu-Min Yen
    http://arxiv.org/abs/2109.08793v2

    • [stat.ME]Adaptive Contrast Test for Dose-Response Studies and Modeling
    Masahiro Kojima
    http://arxiv.org/abs/2109.10653v1

    • [stat.ME]Minimax Rates and Adaptivity in Combining Experimental and Observational Data
    Shuxiao Chen, Bo Zhang, Ting Ye
    http://arxiv.org/abs/2109.10522v1

    • [stat.ME]More powerful selective inference for the graph fused lasso
    Yiqun Chen, Sean Jewell, Daniela Witten
    http://arxiv.org/abs/2109.10451v1

    • [stat.ME]On Reparameterization Invariant Bayesian Point Estimates and Credible Regions
    Aki Vehtari
    http://arxiv.org/abs/2109.10843v1

    • [stat.ME]Two-level Bayesian interaction analysis for survival data incorporating pathway information
    Xing Qin, Shuangge Ma, Mengyun Wu
    http://arxiv.org/abs/2109.10621v1

    • [stat.ML]A Latent Restoring Force Approach to Nonlinear System Identification
    Timothy J. Rogers, Tobias Friis
    http://arxiv.org/abs/2109.10681v1

    • [stat.ML]A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems
    Areej AlBahar, Inyoung Kim, Xiaowei Yue
    http://arxiv.org/abs/2109.10898v1

    • [stat.ML]Entropic Issues in Likelihood-Based OOD Detection
    Anthony L. Caterini, Gabriel Loaiza-Ganem
    http://arxiv.org/abs/2109.10794v1

    • [stat.ML]Personalized Online Machine Learning
    Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan Hubbard, Mark J. van der Laan
    http://arxiv.org/abs/2109.10452v1

    • [stat.ML]Sharp Analysis of Random Fourier Features in Classification
    Zhu Li
    http://arxiv.org/abs/2109.10623v1