归档 - 今日学术视野(2021.9.22) - 《爱可可老师分享》

astro-ph.CO - 宇宙学和天体物理学
astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.mtrl-sci - 材料科学
cond-mat.stat-mech - 统计数学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.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.TH - 理论经济学
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-ph - 数学物理
math.CO - 组合数学
math.DS - 动力系统
math.OC - 优化与控制
math.ST - 统计理论
physics.comp-ph - 计算物理学
physics.flu-dyn - 流体动力学
physics.geo-ph - 地球物理学
physics.plasm-ph - 等离子体物理
q-bio.MN - 分子网络
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [astro-ph.CO]Reconstructing Cosmic Polarization Rotation with ResUNet-CMB
• [astro-ph.IM]DECORAS: detection and characterization of radio-astronomical sources using deep learning
• [cond-mat.mtrl-sci]Prediction of properties of metal alloy materials based on machine learning
• [cond-mat.stat-mech]Topology, Convergence, and Reconstruction of Predictive States
• [cs.AI]A Comprehensive Overview of Recommender System and Sentiment Analysis
• [cs.AI]A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling
• [cs.AI]A Survey of Text Games for Reinforcement Learning informed by Natural Language
• [cs.AI]Actionable Approaches to Promote Ethical AI in Libraries
• [cs.AI]Assessing the quality of sources in Wikidata across languages: a hybrid approach
• [cs.AI]Asymptotic Causal Inference
• [cs.AI]Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain
• [cs.AI]Automatic Generation of Board Game Manuals
• [cs.AI]Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
• [cs.AI]Configuring Multiple Instances with Multi-Configuration
• [cs.AI]Design and Results of ICCMA 2021
• [cs.AI]Learning Natural Language Generation from Scratch
• [cs.AI]Learning to Improve Representations by Communicating About Perspectives
• [cs.AI]Modular Design Patterns for Hybrid Actors
• [cs.AI]Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge
• [cs.AI]Multi-Task Learning in Natural Language Processing: An Overview
• [cs.AI]Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
• [cs.AI]Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability
• [cs.AR]AI Accelerator Survey and Trends
• [cs.AR]G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
• [cs.AR]Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA
• [cs.CL]A Plug-and-Play Method for Controlled Text Generation
• [cs.CL]A mixed-methods ethnographic approach to participatory budgeting in Scotland
• [cs.CL]Adversarial Training with Contrastive Learning in NLP
• [cs.CL]Augmenting semantic lexicons using word embeddings and transfer learning
• [cs.CL]Augmenting the User-Item Graph with Textual Similarity Models
• [cs.CL]BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
• [cs.CL]BERT Cannot Align Characters
• [cs.CL]BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
• [cs.CL]Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
• [cs.CL]CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
• [cs.CL]CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task
• [cs.CL]CUNI systems for WMT21: Terminology translation Shared Task
• [cs.CL]Commonsense Knowledge in Word Associations and ConceptNet
• [cs.CL]Conditional probing: measuring usable information beyond a baseline
• [cs.CL]ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI
• [cs.CL]Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots
• [cs.CL]Dependency distance minimization predicts compression
• [cs.CL]Do Long-Range Language Models Actually Use Long-Range Context?
• [cs.CL]DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation
• [cs.CL]DyLex: Incoporating Dynamic Lexicons into BERT for Sequence Labeling
• [cs.CL]Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona
• [cs.CL]FST Morphological Analyser and Generator for Mapudüngun
• [cs.CL]Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
• [cs.CL]Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
• [cs.CL]From None to Severe: Predicting Severity in Movie Scripts
• [cs.CL]Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision
• [cs.CL]Incorporating Temporal Information in Entailment Graph Mining
• [cs.CL]Investigating Crowdsourcing Protocols for Evaluatingthe Factual Consistency of Summaries
• [cs.CL]JobBERT: Understanding Job Titles through Skills
• [cs.CL]Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
• [cs.CL]MeetDot: Videoconferencing with Live Translation Captions
• [cs.CL]MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
• [cs.CL]Modality and Negation in Event Extraction
• [cs.CL]Model Bias in NLP - Application to Hate Speech Classification
• [cs.CL]On Generalization in Coreference Resolution
• [cs.CL]PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
• [cs.CL]Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
• [cs.CL]Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
• [cs.CL]ReaSCAN: Compositional Reasoning in Language Grounding
• [cs.CL]Structured Pattern Pruning Using Regularization
• [cs.CL]TVRecap: A Dataset for Generating Stories with Character Descriptions
• [cs.CL]Text Detoxification using Large Pre-trained Neural Models
• [cs.CL]The Case for Claim Difficulty Assessment in Automatic Fact Checking
• [cs.CL]The Case for Claim Difficulty Assessment in Automatic Fact Checking
• [cs.CL]Towards Joint Intent Detection and Slot Filling via Higher-order Attention
• [cs.CL]Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
• [cs.CL]Towards Zero-Label Language Learning
• [cs.CL]Training Dynamic based data filtering may not work for NLP datasets
• [cs.CL]Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play
• [cs.CL]UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
• [cs.CL]Unified and Multilingual Author Profiling for Detecting Haters
• [cs.CL]Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
• [cs.CL]Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
• [cs.CL]What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
• [cs.CR]”Hello, It’s Me”: Deep Learning-based Speech Synthesis Attacks in the Real World
• [cs.CR]A Novel Online Incremental Learning Intrusion Prevention System
• [cs.CR]A proactive malicious software identification approach for digital forensic examiners
• [cs.CR]Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training
• [cs.CR]Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
• [cs.CV]A Studious Approach to Semi-Supervised Learning
• [cs.CV]Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
• [cs.CV]Anomaly Detection in Radar Data Using PointNets
• [cs.CV]Audio-Visual Speech Recognition is Worth 32$\times $今日学术视野(2021.9.22) - 图1$ \times $今日学术视野(2021.9.22) - 图2$ 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Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
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• [cs.LG]Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
• [cs.LG]Temporal Knowledge Graph Completion using Box Embeddings
• [cs.LG]The Optimization of the Constant Flow Parallel Micropump Using RBF Neural Network
• [cs.LG]Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression
• [cs.LG]Towards Representation Learning for Atmospheric Dynamics
• [cs.LG]Towards Resilient Artificial Intelligence: Survey and Research Issues
• [cs.LG]Unsupervised Continual Learning in Streaming Environments
• [cs.LG]When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?
• [cs.NE]A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star
• [cs.NE]An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator
• [cs.NE]Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level
• [cs.NE]Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
• [cs.NE]Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
• [cs.NI]Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems
• [cs.RO]A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning
• [cs.RO]A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration
• [cs.RO]Active Information Acquisition under Arbitrary Unknown Disturbances
• [cs.RO]AirLoop: Lifelong Loop Closure Detection
• [cs.RO]BFAR-Bounded False Alarm Rate detector for improved radar odometry estimation
• [cs.RO]Baby Robot: Improving the Motor Skills of Toddlers
• [cs.RO]CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
• [cs.RO]Conditions for energetically-optimal elasticity and their implications for biomimetic propulsion systems
• [cs.RO]Continuous-Time Spline Visual-Inertial Odometry
• [cs.RO]Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
• [cs.RO]Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment
• [cs.RO]Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a Decoupled Actuated SLIP Model
• [cs.RO]Fast User Adaptation for Human Motion Prediction in Physical Human-Robot Interaction
• [cs.RO]Generating Active Explicable Plans in Human-Robot Teaming
• [cs.RO]Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation
• [cs.RO]HiTMap: A Hierarchical Topological Map Representation for Navigation in Unknown Environments
• [cs.RO]Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
• [cs.RO]Human Initiated Grasp Space Exploration Algorithm for an Underactuated Robot Gripper Using Variational Autoencoder
• [cs.RO]Learning Latent Actions without Human Demonstrations
• [cs.RO]Learning to Regrasp by Learning to Place
• [cs.RO]Localization with Directional Coordinates
• [cs.RO]Model-Free Safety-Critical Control for Robotic Systems
• [cs.RO]NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations
• [cs.RO]Observability-Aware Trajectory Optimization: Theory, Viability, and State of the Art
• [cs.RO]Online Distributed Trajectory Planning for Quadrotor Swarm with Feasibility Guarantee using Linear Safe Corridor
• [cs.RO]Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
• [cs.RO]Robot’s Inner Speech Effects on Trust and Anthropomorphic Cues in Human-Robot Cooperation
• [cs.RO]Robust-by-Design Plans for Multi-Robot Pursuit-Evasion
• [cs.RO]Search-Based Task Planning with
1000
Learned Skill Effect Models for Lifelong Robotic Manipulation
• [cs.RO]Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling
• [cs.RO]Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
• [cs.RO]Understanding Xacro Misunderstandings
• [cs.RO]Visual Representation Learning for Preference-Aware Path Planning
• [cs.SD]ARCA23K: An audio dataset for investigating open-set label noise
• [cs.SD]Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition
• [cs.SD]MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification
• [cs.SD]SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification
• [cs.SD]TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method
• [cs.SI]Characterizing User Susceptibility to COVID-19 Misinformation on Twitter
• [cs.SI]Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks
• [cs.SI]How Does Facebook Retain Segregated Friendship? An Agent-Based Model Approach
• [cs.SI]On the Dynamics of Political Discussions on Instagram: A Network Perspective
• [cs.SI]POI Alias Discovery in Delivery Addresses using User Locations
• [cs.SI]Popping the bubble may not be enough: news media role in online political polarization
• [cs.SI]The 2021 RecSys Challenge Dataset: Fairness is not optional
• [econ.TH]UTXO in Digital Currencies: Account-based or Token-based? Or Both?
• [eess.AS]Acoustic Echo Cancellation using Residual U-Nets
• [eess.AS]Fast query-by-example speech search using separable model
• [eess.IV]A novel optical needle probe for deep learning-based tissue elasticity characterization
• [eess.IV]A survey on deep learning approaches for breast cancer diagnosis
• [eess.IV]Asymmetric 3D Context Fusion for Universal Lesion Detection
• [eess.IV]Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
• [eess.IV]ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
• [eess.IV]DEM Super-Resolution with EfficientNetV2
• [eess.IV]Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images
• [eess.IV]DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
• [eess.IV]DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
• [eess.IV]FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal
• [eess.IV]Human Recognition based on Retinal Bifurcations and Modified Correlation Function
• [eess.IV]Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning
• [eess.IV]Improved AI-based segmentation of apical and basal slices from clinical cine CMR
• [eess.IV]Interpolation variable rate image compression
• [eess.IV]On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
• [eess.IV]Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data
• [eess.IV]Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
• [eess.IV]Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
• [eess.IV]RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
• [eess.IV]Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans
• [eess.IV]Segmentation of Brain MRI using an Altruistic Harris Hawks’ Optimization algorithm
• [eess.IV]Self-supervised learning methods and applications in medical imaging analysis: A survey
• [eess.IV]Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics
• [eess.IV]The Report on China-Spain Joint Clinical Testing for Rapid COVID-19 Risk Screening by Eye-region Manifestations
• [eess.IV]Underwater Image Enhancement Using Convolutional Neural Network
• [eess.IV]iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
• [eess.SP]A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants’ Performance: A Case of California ISO
• [eess.SP]Accelerated Stochastic Gradient for Nonnegative Tensor Completion and Parallel Implementation
• [eess.SP]Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes
• [eess.SP]KNN Learning Techniques for Proportional Myocontrol in Prosthetics
• [eess.SP]Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data
• [eess.SY]Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets
• [math-ph]Locally-symplectic neural networks for learning volume-preserving dynamics
• [math.CO]Moments of permutation statistics and central limit theorems
• [math.DS]Learning to Forecast Dynamical Systems from Streaming Data
• [math.DS]Persistent homology of convection cycles in network flows
• [math.OC]A Reinforcement Learning Approach to the Stochastic Cutting Stock Problem
• [math.ST]A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter
• [math.ST]Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks
• [math.ST]Graphical models for nonstationary time series
• [math.ST]Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
• [math.ST]Phase transition and uncertainty quantification in variable selection and multiple testing
• [math.ST]Sharp Concentration Inequalities for the Centered Relative Entropy
• [math.ST]The power of private likelihood-ratio tests for goodness-of-fit in frequency tables
• [math.ST]`Basic’ Generalization Error Bounds for Least Squares Regression with Well-specified Models
• [physics.comp-ph]Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
• [physics.flu-dyn]PCNN: A physics-constrained neural network for multiphase flows
• [physics.flu-dyn]Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network
• [physics.geo-ph]Data-driven rational function neural networks: a new method for generating analytical models of rock physics
• [physics.plasm-ph]Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
• [q-bio.MN]Network Refinement: A unified framework for enhancing signal or removing noise of networks
• [q-bio.NC]Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders
• [q-bio.QM]Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
• [stat.AP]A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition
• [stat.AP]A spatio-temporal analysis for power grid resilience to extreme weather
• [stat.AP]Coefficients of factor score determinacy for mean plausible values of Bayesian factor analysis
• [stat.AP]Estimations of the Conditional Tail Average Treatment Effect
• [stat.AP]Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data
• [stat.AP]Park factor estimation improvement using pairwise comparison method
• [stat.CO]Asynchronous and Distributed Data Augmentation for Massive Data Settings
• [stat.ME]Approximate Conditional Sampling for Pattern Detection in Weighted Networks
• [stat.ME]Estimation of Measures for Two-Way Contingency Tables Using the Bayesian Estimators
• [stat.ME]Quantile Regression for positive data using a general class of distributions
• [stat.ME]Test Martingales for bounded random variables
• [stat.ME]Unifying Design-based Inference: A New Variance Estimation Principle
• [stat.ME]Unifying Design-based Inference: On Bounding and Estimating the Variance of any Linear Estimator in any Experimental Design
• [stat.ME]Vector-Valued Control Variates
• [stat.ML]Barely Biased Learning for Gaussian Process Regression
• [stat.ML]Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
• [stat.ML]Machine Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis
• [stat.ML]Model-Based Approach for Measuring the Fairness in ASR
• [stat.ML]Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
• [stat.ML]Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
• [stat.ML]Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
• [stat.ML]Understanding neural networks with reproducing kernel Banach spaces

·····································

• [astro-ph.CO]Reconstructing Cosmic Polarization Rotation with ResUNet-CMB
Eric Guzman, Joel Meyers
http://arxiv.org/abs/2109.09715v1

• [astro-ph.IM]DECORAS: detection and characterization of radio-astronomical sources using deep learning
S. Rezaei, J. P. McKean, M. Biehl, A. Javadpour
http://arxiv.org/abs/2109.09077v1

• [cond-mat.mtrl-sci]Prediction of properties of metal alloy materials based on machine learning
Houchen Zuo, Yongquan Jiang, Yan Yang, Jie Hu
http://arxiv.org/abs/2109.09394v1

• [cond-mat.stat-mech]Topology, Convergence, and Reconstruction of Predictive States
Samuel P. Loomis, James P. Crutchfield
http://arxiv.org/abs/2109.09203v1

• [cs.AI]A Comprehensive Overview of Recommender System and Sentiment Analysis
Sumaia Mohammed AL-Ghuribi, Shahrul Azman Mohd Noah
http://arxiv.org/abs/2109.08794v1

• [cs.AI]A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling
Mahmoud Mahfouz, Armineh Nourbakhsh, Sameena Shah
http://arxiv.org/abs/2109.09103v1

• [cs.AI]A Survey of Text Games for Reinforcement Learning informed by Natural Language
Philip Osborne, Heido Nõmm, Andre Freitas
http://arxiv.org/abs/2109.09478v1

• [cs.AI]Actionable Approaches to Promote Ethical AI in Libraries
Helen Bubinger, Jesse David Dinneen
http://arxiv.org/abs/2109.09672v1

• [cs.AI]Assessing the quality of sources in Wikidata across languages: a hybrid approach
Gabriel Amaral, Alessandro Piscopo, Lucie-Aimée Kaffee, Odinaldo Rodrigues, Elena Simperl
http://arxiv.org/abs/2109.09405v1

• [cs.AI]Asymptotic Causal Inference
Sridhar Mahadevan
http://arxiv.org/abs/2109.09653v1

• [cs.AI]Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain
Adel Memariani, Martin Glauer, Fabian Neuhaus, Till Mossakowski, Janna Hastings
http://arxiv.org/abs/2109.09202v1

• [cs.AI]Automatic Generation of Board Game Manuals
Matthew Stephenson, Eric Piette, Dennis J. N. J. Soemers, Cameron Browne
http://arxiv.org/abs/2109.09507v1

• [cs.AI]Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
Charl Maree, Christian W. Omlin
http://arxiv.org/abs/2109.09425v1

• [cs.AI]Configuring Multiple Instances with Multi-Configuration
Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat-Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran
http://arxiv.org/abs/2109.09696v1

• [cs.AI]Design and Results of ICCMA 2021
Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit
http://arxiv.org/abs/2109.08884v1

• [cs.AI]Learning Natural Language Generation from Scratch
Alice Martin Donati, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
http://arxiv.org/abs/2109.09371v1

• [cs.AI]Learning to Improve Representations by Communicating About Perspectives
Julius Taylor, Eleni Nisioti, Clément Moulin-Frier
http://arxiv.org/abs/2109.09390v1

• [cs.AI]Modular Design Patterns for Hybrid Actors
André Meyer-Vitali, Wico Mulder, Maaike H. T. de Boer
http://arxiv.org/abs/2109.09331v1

• [cs.AI]Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge
Xinzhu Liu, Di Guo, Huaping Liu, Fuchun Sun
http://arxiv.org/abs/2109.09531v1

• [cs.AI]Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen, Yu Zhang, Qiang Yang
http://arxiv.org/abs/2109.09138v1

• [cs.AI]Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
Yuheng Wang, Margaret P. Chapman
http://arxiv.org/abs/2109.08947v1

• [cs.AI]Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability
Jean-Marie John-Mathews
http://arxiv.org/abs/2109.09586v1

• [cs.AR]AI Accelerator Survey and Trends
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
http://arxiv.org/abs/2109.08957v1

• [cs.AR]G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
http://arxiv.org/abs/2109.08983v1

• [cs.AR]Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA
Sasindu Wijeratne, Rajgopal Kannan, Viktor Prasanna
http://arxiv.org/abs/2109.08874v1

• [cs.CL]A Plug-and-Play Method for Controlled Text Generation
Damian Pascual, Beni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer
http://arxiv.org/abs/2109.09707v1

• [cs.CL]A mixed-methods ethnographic approach to participatory budgeting in Scotland
Jonathan Davies, M. Arana-Catania, Rob Procter, F. A. Van Lier, Yulan He
http://arxiv.org/abs/2109.09517v1

• [cs.CL]Adversarial Training with Contrastive Learning in NLP
Daniela N. Rim, DongNyeong Heo, Heeyoul Choi
http://arxiv.org/abs/2109.09075v1

• [cs.CL]Augmenting semantic lexicons using word embeddings and transfer learning
Thayer Alshaabi, Colin Van Oort, Mikaela Fudolig, Michael V. Arnold, Christopher M. Danforth, Peter Sheridan Dodds
http://arxiv.org/abs/2109.09010v1

• [cs.CL]Augmenting the User-Item Graph with Textual Similarity Models
Federico López, Martin Scholz, Jessica Yung, Marie Pellat, Michael Strube, Lucas Dixon
http://arxiv.org/abs/2109.09358v1

• [cs.CL]BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
Nguyen Luong Tran, Duong Minh Le, Dat Quoc Nguyen
http://arxiv.org/abs/2109.09701v1

• [cs.CL]BERT Cannot Align Characters
Antonis Maronikolakis, Philipp Dufter, Hinrich Schütze
http://arxiv.org/abs/2109.09700v1

• [cs.CL]BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu
http://arxiv.org/abs/2109.08805v1

• [cs.CL]Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
Zihao Wang, Hang Yin, Yangqiu Song
http://arxiv.org/abs/2109.08925v1

• [cs.CL]CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
Shuyang Cao, Lu Wang
http://arxiv.org/abs/2109.09209v1

• [cs.CL]CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task
Josef Jon, Michal Novák, João Paulo Aires, Dušan Variš, Ondřej Bojar
http://arxiv.org/abs/2109.09354v1

• [cs.CL]CUNI systems for WMT21: Terminology translation Shared Task
Josef Jon, Michal Novák, João Paulo Aires, Dušan Variš, Ondřej Bojar
http://arxiv.org/abs/2109.09350v1

• [cs.CL]Commonsense Knowledge in Word Associations and ConceptNet
Chunhua Liu, Trevor Cohn, Lea Frermann
http://arxiv.org/abs/2109.09309v1

• [cs.CL]Conditional probing: measuring usable information beyond a baseline
John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
http://arxiv.org/abs/2109.09234v1

• [cs.CL]ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI
Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser
http://arxiv.org/abs/2109.09483v1

• [cs.CL]Crowdsourcing Diverse Paraphrases for Training Task-oriented Bots
Jorge Ramírez, Auday Berro, Marcos Baez, Boualem Benatallah, Fabio Casati
http://arxiv.org/abs/2109.09420v1

• [cs.CL]Dependency distance minimization predicts compression
Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez
http://arxiv.org/abs/2109.08900v1

• [cs.CL]Do Long-Range Language Models Actually Use Long-Range Context?
Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer
http://arxiv.org/abs/2109.09115v1

• [cs.CL]DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation
Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che
http://arxiv.org/abs/2109.08877v1

• [cs.CL]DyLex: Incoporating Dynamic Lexicons into BERT for Sequence Labeling
Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu
http://arxiv.org/abs/2109.08818v1

• [cs.CL]Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona
Weixuan Wang, Xiaoling Cai, Chong Hsuan Huang, Haoran Wang, Haonan Lu, Ximing Liu, Wei Peng
http://arxiv.org/abs/2109.08875v1

• [cs.CL]FST Morphological Analyser and Generator for Mapudüngun
Andrés Chandía
http://arxiv.org/abs/2109.09176v1

• [cs.CL]Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks
Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel
http://arxiv.org/abs/2109.09366v1

• [cs.CL]From None to Severe: Predicting Severity in Movie Scripts
Yigeng Zhang, Mahsa Shafaei, Fabio Gonzalez, Thamar Solorio
http://arxiv.org/abs/2109.09276v1

• [cs.CL]Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision
Yang Li, Guodong Long, Tao Shen, Jing Jiang
http://arxiv.org/abs/2109.09036v1

• [cs.CL]Incorporating Temporal Information in Entailment Graph Mining
Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman
http://arxiv.org/abs/2109.09412v1

• [cs.CL]Investigating Crowdsourcing Protocols for Evaluatingthe Factual Consistency of Summaries
Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir Radev
http://arxiv.org/abs/2109.09195v1

• [cs.CL]JobBERT: Understanding Job Titles through Skills
Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder
http://arxiv.org/abs/2109.09605v1

• [cs.CL]Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard Hovy
http://arxiv.org/abs/2109.09057v1

• [cs.CL]MeetDot: Videoconferencing with Live Translation Captions
Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight
http://arxiv.org/abs/2109.09577v1

• [cs.CL]MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
Qianchu Liu, Fangyu Liu, Nigel Collier, Anna Korhonen, Ivan Vulić
http://arxiv.org/abs/2109.09237v1

• [cs.CL]Modality and Negation in Event Extraction
Sander Bijl de Vroe, Liane Guillou, Miloš Stanojević, Nick McKenna, Mark Steedman
http://arxiv.org/abs/2109.09393v1

• [cs.CL]Model Bias in NLP - Application to Hate Speech Classification
Jonas Bokstaller, Georgios Patoulidis, Aygul Zagidullina
http://arxiv.org/abs/2109.09725v1

• [cs.CL]On Generalization in Coreference Resolution
Shubham Toshniwal, Patrick Xia, Sam Wiseman, Karen Livescu, Kevin Gimpel
http://arxiv.org/abs/2109.09667v1

• [cs.CL]PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhihua Wu, Zhen Guo, Hua Lu, Xinxian Huang, Xin Tian, Xinchao Xu, Yingzhan Lin, Zhengyu Niu
http://arxiv.org/abs/2109.09519v1

• [cs.CL]Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
Hyunwoo Kim, Byeongchang Kim, Gunhee Kim
http://arxiv.org/abs/2109.08828v1

• [cs.CL]Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
David Ifeoluwa Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer, Dietrich Klakow
http://arxiv.org/abs/2109.09133v1

• [cs.CL]ReaSCAN: Compositional Reasoning in Language Grounding
Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
http://arxiv.org/abs/2109.08994v1

• [cs.CL]Structured Pattern Pruning Using Regularization
Dongjun Park, Geung-Hee Lee
http://arxiv.org/abs/2109.08814v1

• [cs.CL]TVRecap: A Dataset for Generating Stories with Character Descriptions
Mingda Chen, Kevin Gimpel
http://arxiv.org/abs/2109.08833v1

• [cs.CL]Text Detoxification using Large Pre-trained Neural Models
David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko
http://arxiv.org/abs/2109.08914v1

• [cs.CL]The Case for Claim Difficulty Assessment in Automatic Fact Checking
Prakhar Singh, Anubrata Das, Junyi Jessy Li, Matthew Lease
http://arxiv.org/abs/2
603a
109.09689v1
603a
109.09689v1)

• [cs.CL]The Case for Claim Difficulty Assessment in Automatic Fact Checking
Prakhar Singh, Anubrata Das, Junyi Jessy Li, Matthew Lease
http://arxiv.org/abs/2109.09689v1

• [cs.CL]Towards Joint Intent Detection and Slot Filling via Higher-order Attention
Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou
http://arxiv.org/abs/2109.08890v1

• [cs.CL]Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur
http://arxiv.org/abs/2109.08820v1

• [cs.CL]Towards Zero-Label Language Learning
Zirui Wang, Adams Wei Yu, Orhan Firat, Yuan Cao
http://arxiv.org/abs/2109.09193v1

• [cs.CL]Training Dynamic based data filtering may not work for NLP datasets
Arka Talukdar, Monika Dagar, Prachi Gupta, Varun Menon
http://arxiv.org/abs/2109.09191v1

• [cs.CL]Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play
Arkady Arkhangorodsky, Scot Fang, Victoria Knight, Ajay Nagesh, Maria Ryskina, Kevin Knight
http://arxiv.org/abs/2109.09597v1

• [cs.CL]UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso
http://arxiv.org/abs/2109.09232v1

• [cs.CL]Unified and Multilingual Author Profiling for Detecting Haters
Ipek Baris Schlicht, Angel Felipe Magnossão de Paula
http://arxiv.org/abs/2109.09233v1

• [cs.CL]Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin
http://arxiv.org/abs/2109.09161v1

• [cs.CL]Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou
http://arxiv.org/abs/2109.08927v1

• [cs.CL]What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa
http://arxiv.org/abs/2109.09105v1

• [cs.CR]“Hello, It’s Me”: Deep Learning-based Speech Synthesis Attacks in the Real World
Emily Wenger, Max Bronckers, Christian Cianfarani, Jenna Cryan, Angela Sha, Haitao Zheng, Ben Y. Zhao
http://arxiv.org/abs/2109.09598v1

• [cs.CR]A Novel Online Incremental Learning Intrusion Prevention System
Christos Constantinides, Stavros Shiaeles, Bogdan Ghita, Nicholas Kolokotronis
http://arxiv.org/abs/2109.09530v1

• [cs.CR]A proactive malicious software identification approach for digital forensic examiners
Muhammad Ali, Stavros Shiaeles, Nathan Clarke, Dimitrios Kontogeorgis
http://arxiv.org/abs/2109.09567v1

• [cs.CR]Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Model Training
Zihang Zou, Boqing Gong, Liqiang Wang
http://arxiv.org/abs/2109.09023v1

• [cs.CR]Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?
Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu
http://arxiv.org/abs/2109.09654v1

• [cs.CV]A Studious Approach to Semi-Supervised Learning
Sahil Khose, Shruti Jain, V Manushree
http://arxiv.org/abs/2109.08924v1

• [cs.CV]Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR
Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li
http://arxiv.org/abs/2109.09628v1

• [cs.CV]Anomaly Detection in Radar Data Using PointNets
Thomas Griebel, Dominik Authaler, Markus Horn, Matti Henning, Michael Buchholz, Klaus Dietmayer
http://arxiv.org/abs/2109.09401v1

• [cs.CV]Audio-Visual Speech Recognition is Worth 32$\times $今日学术视野(2021.9.22) - 图3$ \times$8 Voxels
Dmitriy Serdyuk, Otavio Braga, Olivier Siohan
http://arxiv.org/abs/2109.09536v1

• [cs.CV]Auto White-Balance Correction for Mixed-Illuminant Scenes
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
http://arxiv.org/abs/2109.08750v1

• [cs.CV]BabelCalib: A Universal Approach to Calibrating Central Cameras
Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts
http://arxiv.org/abs/2109.09704v1

• [cs.CV]Background-Foreground Segmentation for Interior Sensing in Automotive Industry
Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel
http://arxiv.org/abs/2109.09410v1

• [cs.CV]Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim
http://arxiv.org/abs/2109.09477v1

• [cs.CV]CNN-based Temporal Super Resolution of Radar Rainfall Products
Muhammed Sit, Bong-Chul Seo, Ibrahim Demir
http://arxiv.org/abs/2109.09289v1

• [cs.CV]Capsule networks with non-iterative cluster routing
Zhihao Zhao, Samuel Cheng
http://arxiv.org/abs/2109.09213v1

• [cs.CV]Clean-label Backdoor Attack against Deep Hashing based Retrieval
Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia
http://arxiv.org/abs/2109.08868v1

• [cs.CV]ComicGAN: Text-to-Comic Generative Adversarial Network
Ben Proven-Bessel, Zilong Zhao, Lydia Chen
http://arxiv.org/abs/2109.09120v1

• [cs.CV]Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai
http://arxiv.org/abs/2109.08880v1

• [cs.CV]Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
David Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Julio C. S. Jacques Junior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero
http://arxiv.org/abs/2109.09487v1

• [cs.CV]Dynamic Gesture Recognition
Jonas Bokstaller, Costanza Maria Improta
http://arxiv.org/abs/2109.09396v1

• [cs.CV]Edge Prior Augmented Networks for Motion Deblurring on Naturally Blurry Images
Yuedong Chen, Junjia Huang, Jianfeng Wang, Xiaohua Xie
http://arxiv.org/abs/2109.08915v1

• [cs.CV]EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai
http://arxiv.org/abs/2109.09406v1

• [cs.CV]Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation
Libo Wang, Shenghui Fang, Ce Zhang, Rui Li, Chenxi Duan
http://arxiv.org/abs/2109.08937v1

• [cs.CV]Efficient Urban-scale Point Clouds Segmentation with BEV Projection
Zhenhong Zou, Yizhe Li
http://arxiv.org/abs/2109.09074v1

• [cs.CV]ElasticFace: Elastic Margin Loss for Deep Face Recognition
Fadi Boutros, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
http://arxiv.org/abs/2109.09416v1

• [cs.CV]Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber
http://arxiv.org/abs/2109.09389v1

• [cs.CV]FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Future Medical Imaging
Karim Lekadira, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tskinakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C Woodruff, Philippe Lambin, Luis Martí-Bonmatí
http://arxiv.org/abs/2109.09658v1

• [cs.CV]HPTQ: Hardware-Friendly Post Training Quantization
Hai Victor Habi, Reuven Peretz, Elad Cohen, Lior Dikstein, Oranit Dror, Idit Diamant, Roy H. Jennings, Arnon Netzer
http://arxiv.org/abs/2109.09113v1

• [cs.CV]Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection
Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li
http://arxiv.org/abs/2109.09033v1

• [cs.CV]LODE: Deep Local Deblurring and A New Benchmark
Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding
http://arxiv.org/abs/2109.09149v1

• [cs.CV]Learning Versatile Convolution Filters for Efficient Visual Recognition
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
http://arxiv.org/abs/2109.09310v1

• [cs.CV]Low-resolution Human Pose Estimation
Chen Wang, Feng Zhang, Xiatian Zhu, Shuzhi Sam Ge
http://arxiv.org/abs/2109.09090v1

• [cs.CV]Manifold-preserved GANs
Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen
http://arxiv.org/abs/2109.08955v1

• [cs.CV]Measuring the rogue wave pattern triggered from Gaussian perturbations by deep learning
Liwen Zou, XinHang Luo, Delu Zeng, Liming Ling, Li-Chen Zhao
http://arxiv.org/abs/2109.08909v1

• [cs.CV]Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization
Franz Thaler, Christian Payer, Martin Urschler, Darko Stern
http://arxiv.org/abs/2109.09533v1

• [cs.CV]Object Tracking by Jointly Exploiting Frame and Event Domain
Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong
http://arxiv.org/abs/2109.09052v1

• [cs.CV]Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
http://arxiv.org/abs/2109.09063v1

• [cs.CV]PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling
Chen Long, Wenxiao Zhang, Ruihui Li, Hao Wang, Zhen Dong, Bisheng Yang
http://arxiv.org/abs/2109.09337v1

• [cs.CV]Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
Xuanting Hao, Shengbo Gao, Lijie Sheng, Jicong Zhang
http://arxiv.org/abs/2109.09596v1

• [cs.CV]R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection
Jeya Maria Jose Valanarasu, Christina Chen, Vishal M. Patel
http://arxiv.org/abs/2109.09609v1

• [cs.CV]RSI-Net: Two-Stream Deep Neural Network Integrating GCN and Atrous CNN for Semantic Segmentation of High-resolution Remote Sensing Images
Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
http://arxiv.org/abs/2109.09148v1

• [cs.CV]Real-Time Trash Detection for Modern Societies using CCTV to Identifying Trash by utilizing Deep Convolutional Neural Network
Syed Muhammad Raza, Syed Muhammad Ghazi Hassan, Syed Ali Hassa, Soo Young Shin
http://arxiv.org/abs/2109.09611v1

• [cs.CV]Robust Physical-World Attacks on Face Recognition
Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan
http://arxiv.org/abs/2109.09320v1

• [cs.CV]SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction
Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Kebin Wu, Pei Wang
http://arxiv.org/abs/2109.08963v1

• [cs.CV]Self-Supervised Neural Architecture Search for Imbalanced Datasets
Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher
http://arxiv.org/abs/2109.08580v2

• [cs.CV]Semi-supervised Dense Keypointsusing Unlabeled Multiview Images
Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park
http://arxiv.org/abs/2109.09299v1

• [cs.CV]Superquadric Object Representation for Optimization-based Semantic SLAM
Florian Tschopp, Juan Nieto, Roland Siegwart, Cesar Cadena
http://arxiv.org/abs/2109.09627v1

• [cs.CV]The Unreasonable Effectiveness of the Final Batch Normalization Layer
Veysel Kocaman, Ofer M. Shir, Thomas Baeck
http://arxiv.org/abs/2109.09016v1

• [cs.CV]Towards robustness under occlusion for face recognition
Tomas M. Borges, Teofilo E. de Campos, Ricardo de Queiroz
http://arxiv.org/abs/2109.09083v1

• [cs.CV]Traffic-Net: 3D Traffic Monitoring Using a Single Camera
Mahdi Rezaei, Mohsen Azarmi, Farzam Mohammad Pour Mir
http://arxiv.org/abs/2109.09165v1

• [cs.CV]Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
Xiaodan Hu, Narendra Ahuja
http://arxiv.org/abs/2109.09166v1

• [cs.CV]Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
Huanyu Zhou, Qingjie Liu, Yunhong Wang
http://arxiv.org/abs/2109.09395v1

• [cs.CV]Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer
Hongruixuan Chen, Chen Wu, Yonghao Xu, Bo Du
http://arxiv.org/abs/2109.08912v1

• [cs.CV]Unsupervised View-Invariant Human Posture Representation
Faegheh Sardari, Björn Ommer, Majid Mirmehdi
http://arxiv.org/abs/2109.08730v1

• [cs.CV]Violence Detection in Videos
Praveen Tirupattur, Christian Schulze, Andreas Dengel
http://arxiv.org/abs/2109.08941v1

• [cs.CY]A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
Prasad hajare, Sadia Kamal, Siddharth Krishnan, Arunkumar Bagavathi
http://arxiv.org/abs/2109.09014v1

• [cs.CY]Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom
Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong
http://arxiv.org/abs/2109.09073v1

• [cs.CY]Steps Before Syntax: Helping Novice Programmers Solve Problems using the PCDIT Framework
Oka Kurniawan, Cyrille Jégourel, Norman Tiong Seng Lee, Matthieu De Mari, Christopher M. Poskitt
http://arxiv.org/abs/2109.08896v1

• [cs.CY]What do fact checkers fact-check when?
Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga, Fabrício Benevenuto, Robert West
http://arxiv.org/abs/2109.09322v1

• [cs.DC]An Improved and Optimized Practical Non-Blocking PageRank Algorithm for Massive Graphs
Hemalatha Eedi, Sahith Karra, Sathya Peri, Neha Ranabothu, Rahul Utkoor
http://arxiv.org/abs/2109.09527v1

• [cs.DC]Architecture and Performance Evaluation of Distributed Computation Offloading in Edge Computing
Claudio Cicconetti, Marco Conti, Andrea Passarella
http://arxiv.org/abs/2109.09415v1

• [cs.DC]Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen, Dongxiao Yu, Yifei Zou, Jiguo Yu, Xiuzhen Cheng
http://arxiv.org/abs/2109.09142v1

• [cs.DC]Enabling particle applications for exascale computing platforms
Susan M Mniszewski, James Belak, Jean-Luc Fattebert, Christian FA Negre, Stuart R Slattery, Adetokunbo A Adedoyin, Robert F Bird, Choongseok Chang, Guangye Chen, Stephane Ethier, Shane Fogerty, Salman Habib, Christoph Junghans, Damien Lebrun-Grandie, Jamaludin Mohd-Yusof, Stan G Moore, Daniel Osei-Kuffuor, Steven J Plimpton, Adrian Pope, Samuel Temple Reeve, Lee Ricketson, Aaron Scheinberg, Amil Y Sharma, Michael E Wall
http://arxiv.org/abs/2109.09056v1

• [cs.DC]Job Scheduling in High Performance Computing
Yuping Fan
http://arxiv.org/abs/2109.09269v1

• [cs.DC]Optimization-based Block Coordinate Gradient Coding
Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong
http://arxiv.org/abs/2109.08933v1

• [cs.DC]Regular Sequential Serializability and Regular Sequential Consistency
Jeffrey Helt, Matthew Burke, Amit Levy, Wyatt Lloyd
http://arxiv.org/abs/2109.08930v1

• [cs.DC]Sparbit: a new logarithmic-cost and data locality-aware MPI Allgather algorithm
Wilton Jaciel Loch, Guilherme Piêgas Koslovski
http://arxiv.org/abs/2109.08751v1

• [cs.DL]A Bibliometric Analysis of the Surveys in Blockchain
Hira Ahmad, Muhammad Ahtazaz Ahsan, Adnan Noor Mian
http://arxiv.org/abs/2109.09730v1

• [cs.DS]Parallel Algorithms for Finding Large Cliques in Sparse Graphs
Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
http://arxiv.org/abs/2109.09663v1

• [cs.GR]FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold
Thomas Leimkühler, George Drettakis
http://arxiv.org/abs/2109.09378v1

• [cs.GT]Favoring Eagerness for Remaining Items: Achieving Efficient and Fair Assignments
Xiaoxi Guo, Sujoy Sikdar, Lirong Xia, Hanpin Wang, Yongzhi Cao
http://arxiv.org/abs/2109.08856v1

• [cs.HC]“Don’t Downvote A$$s!!”: An Exploration of Reddit’s Advice Communities
Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua
http://arxiv.org/abs/2109.09044v1

• [cs.HC]An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets
Jun Yuan, Oded Nov, Enrico Bertini
http://arxiv.org/abs/2109.09160v1

• [cs.HC]Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song
http://arxiv.org/abs/2109.09559v1

• [cs.HC]Regulating Ruminative Web-browsing Based on the Counterbalance Modeling Approach
Junya Morita, Thanakit Pitakchokchai, Giri Basanta Raj, Yusuke Yamamoto, Hiroyasu Yuhashi, Teppei Koguchi
http://arxiv.org/abs/2109.09476v1

• [cs.HC]The ubiquitous digital file: A review of file management research
Jesse David Dinneen, Charles-Antoine Julien
http://arxiv.org/abs/2109.09668v1

• [cs.IR]Complex Temporal Question Answering on Knowledge Graphs
Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum
http://arxiv.org/abs/2109.08935v1

• [cs.IR]Feature Engineering for US State Legislative Hearings: Stance, Affiliation, Engagement and Absentees
Josh Grace, Foaad Khosmood
http://arxiv.org/abs/2109.08855v1

• [cs.IR]Grouping Search Results with Product Graphs in E-commerce Platforms
Suhas Ranganath, Shibsankar Das, Sanjay Thilaivasan, Shipra Agarwal, Varun Shrivastava
http://arxiv.org/abs/2109.09349v1

• [cs.IR]Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
http://arxiv.org/abs/2109.09587v1

• [cs.IR]Solar cell patent classification method based on keyword extraction and deep neural network
Yongmin Yoo, Dongjin Lim, Tak-Sung Heo
http://arxiv.org/abs/2109.08796v1

• [cs.IT]A Tighter Upper Bound of the Expansion Factor for Universal Coding of Integers and Its Code Constructions
Wei Yan, Sian-Jheng Lin
http://arxiv.org/abs/2109.08920v1

• [cs.IT]Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems
Xi Yang, Shi Jin, Geoffrey Ye Li, Xiao Li
http://arxiv.org/abs/2109.08804v1

• [cs.IT]Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications
Zhaoyuan Shi, Xianzhong Xie, Huabing Lu, Helin Yang, Jun Cai, Zhiguo Ding
http://arxiv.org/abs/2109.09503v1

• [cs.IT]Intelligent Reflecting Surface Aided MIMO with Cascaded Line-of-Sight Links: Channel Modelling and Capacity Analysis
Mingchen Zhang, Xiaojun Yuan
http://arxiv.org/abs/2109.08913v1

• [cs.IT]Low-complexity Robust Optimization for an IRS-assisted Multi-Cell Network
Yuhang Jia, Wuyang Jiang, Ying Cui
http://arxiv.org/abs/2109.08806v1

• [cs.IT]On Achievable Degrees of Freedom for the Frequency-Selective K-User Interference Channel in the Presence of an Instantaneous Relay
Ali H. Abdollahi Bafghi, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari
http://arxiv.org/abs/2109.09624v1

• [cs.IT]Spatiotemporal Analysis for Age of Information in Random Access Networks under Last-Come First-Serve with Replacement Protocol
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor
http://arxiv.org/abs/2109.08825v1

• [cs.LG]A Meta-Learning Approach for Training Explainable Graph Neural Networks
Indro Spinelli, Simone Scardapane, Aurelio Uncini
http://arxiv.org/abs/2109.09426v1

• [cs.LG]A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle, Mohammad Rashedul Hasan
http://arxiv.org/abs/2109.09150v1

• [cs.LG]A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
http://arxiv.org/abs/2109.09537v1

• [cs.LG]Algorithmic Fairness Verification with Graphical Models
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
http://arxiv.org/abs/2109.09447v1

• [cs.LG]An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm for First-order and Zeroth-order Optimization
Xiyuan Wei, Bin Gu, Heng Huang
http://arxiv.org/abs/2109.08858v1

• [cs.LG]An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili
http://arxiv.org/abs/2109.08795v1

• [cs.LG]Assisted Learning for Organizations with Limited Data
Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou
http://arxiv.org/abs/2109.09307v1

• [cs.LG]Asymptotic Optimality for Decentralised Bandits
Conor Newton, Ayalvadi Ganesh, Henry W. J. Reeve
http://arxiv.org/abs/2109.09427v1

• [cs.LG]Atrial Fibrillation: A Medical and Technological Review
Samayan Bhattacharya, Sk Shahnawaz
http://arxiv.org/abs/2109.08974v1

• [cs.LG]AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
Garrett Bingham, Risto Miikkulainen
http://arxiv.org/abs/2109.08958v1

• [cs.LG]CARL: Conditional-value-at-risk Adversarial Reinforcement Learning
M. Godbout, M. Heuillet, S. Chandra, R. Bhati, A. Durand
http://arxiv.org/abs/2109.09470v1

• [cs.LG]Capacitance Resistance Model and Recurrent Neural Network for Well Connectivity Estimation : A Comparison Study
Deepthi Sen
http://arxiv.org/abs/2109.08779v1

• [cs.LG]Change of human mobility during COVID-19: A United States case study
Justin Elarde, Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, Taylor Anderson
http://arxiv.org/abs/2109.09022v1

• [cs.LG]Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes
Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay
http://arxiv.org/abs/2109.09199v1

• [cs.LG]Comparing Rewinding and Fine-tuning in Neural Network Pruning for Reproducibility Challenge 2021
Szymon Mikler
http://arxiv.org/abs/2109.09670v1

• [cs.LG]Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection
Yihang Shen, Carl Kingsford
http://arxiv.org/abs/2109.09264v1

• [cs.LG]Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
Jiayang Xu, Aniruddhe Pradhan, Karthik Duraisamy
http://arxiv.org/abs/2109.09510v1

• [cs.LG]Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
Haleh Akrami, Anand Joshi, Sergul Aydore, Richard Leahy
http://arxiv.org/abs/2109.09374v1

• [cs.LG]Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction
Xinyu Zhao, Hao Yan, Zhiyong Hu, Dongping Du
http://arxiv.org/abs/2109.09317v1

• [cs.LG]Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
http://arxiv.org/abs/2109.09607v1

• [cs.LG]Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning
Hyung Ju Hwang, Seyoung Jung, Min Sue Park, Hyeontae Jo
http://arxiv.org/abs/2109.09001v1

• [cs.LG]Dual Behavior Regularized Reinforcement Learning
Chapman Siu, Jason Traish, Richard Yi Da Xu
http://arxiv.org/abs/2109.09037v1

• [cs.LG]Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks
Alexander Kovalenko, Pavel Kordík, Magda Friedjungová
http://arxiv.org/abs/2109.09612v1

• [cs.LG]Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis
Farid Talebloo, Emad A. Mohammed, Behrouz H. Far
http://arxiv.org/abs/2109.08996v1

• [cs.LG]Edge-similarity-aware Graph Neural Networks
Vincent Mallet, Carlos G. Oliver, William L. Hamilton
http://arxiv.org/abs/2109.09432v1

• [cs.LG]Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds
Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi, Shen-Shyang Ho, Jonathan Moore, Logan Borys, Lucas Lavalva
http://arxiv.org/abs/2109.08967v1

• [cs.LG]Feature Correlation Aggregation: on the Path to Better Graph Neural Networks
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
http://arxiv.org/abs/2109.09300v1

• [cs.LG]Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin
http://arxiv.org/abs/2109.09717v1

• [cs.LG]Generalized Translation and Scale Invariant Online Algorithm for Adversarial Multi-Armed Bandits
Kaan Gokcesu, Hakan Gokcesu
http://arxiv.org/abs/2109.09212v1

• [cs.LG]GhostShiftAddNet: More Features from Energy-Efficient Operations
Jia Bi, Jonathon Hare, Geoff V. Merrett
http://arxiv.org/abs/2109.09495v1

• [cs.LG]Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Chapman Siu, Jason Traish, Richard Yi Da Xu
http://arxiv.org/abs/2109.09034v1

• [cs.LG]Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Michael Wan, Jian Peng, Tanmay Gangwani
http://arxiv.org/abs/2109.09031v1

• [cs.LG]Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey
Mehmet Bulut
http://arxiv.org/abs/2109.09013v1

• [cs.LG]Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)
Moumita Bhattacharya, Dai-Yin Lu, Shibani M Kudchadkar, Gabriela Villarreal Greenland, Prasanth Lingamaneni, Celia P Corona-Villalobos, Yufan Guan, Joseph E Marine, Jeffrey E Olgin, Stefan Zimmerman, Theodore P Abraham, Hagit Shatkay, Maria Roselle Abraham
http://arxiv.org/abs/2109.09210v1

• [cs.LG]Improving Fairness for Data Valuation in Federated Learning
Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
http://arxiv.org/abs/2109.09046v1

• [cs.LG]Incremental Learning Techniques for Online Human Activity Recognition
Meysam Vakili, Masoumeh Rezaei
http://arxiv.org/abs/2109.09435v1

• [cs.LG]Inductive Conformal Recommender System
Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan, Vikas Kumar
http://arxiv.org/abs/2109.08949v1

• [cs.LG]Interest-oriented Universal User Representation via Contrastive Learning
Qinghui Sun, Jie Gu, Bei Yang, XiaoXiao Xu, Renjun Xu, Shangde Gao, Hong Liu, Huan Xu
http://arxiv.org/abs/2109.08865v1

• [cs.LG]Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals
Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
http://arxiv.org/abs/2109.08908v1

• [cs.LG]Investigating the Relationship Between World Development Indicators and the Occurrence of Disease Outbreaks in the 21st Century: A Case Study
Aboli Marathe, Harsh Sakhrani, Saloni Parekh
http://arxiv.org/abs/2109.09314v1

• [cs.LG]JEM++: Improved Techniques for Training JEM
Xiulong Yang, Shihao Ji
http://arxiv.org/abs/2109.09032v1

• [cs.LG]Learning in Sinusoidal Spaces with Physics-Informed Neural Networks
Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong
http://arxiv.org/abs/2109.09338v1

• [cs.LG]Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
Alex Chohlas-Wood, Madison Coots, Emma Brunskill, Sharad Goel
http://arxiv.org/abs/2109.08792v1

• [cs.LG]Lifelong Robotic Reinforcement Learning by Retaining Experiences
Annie Xie, Chelsea Finn
http://arxiv.org/abs/2109.09180v1

• [cs.LG]Local versions of sum-of-norms clustering
Alexander Dunlap, Jean-Christophe Mourrat
http://arxiv.org/abs/2109.09589v1

• [cs.LG]MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning
Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham
http://arxiv.org/abs/2109.08830v1

• [cs.LG]Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model
Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis, Gabriela V. Greenland, Hulya Yalcin, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, M. Roselle Abraham, Hagit Shatkay
http://arxiv.org/abs/2109.09207v1

• [cs.LG]Machine-learning hidden symmetries
Ziming Liu, Max Tegmark
http://arxiv.org/abs/2109.09721v1

• [cs.LG]Merlion: A Machine Learning Library for Time Series
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang
http://arxiv.org/abs/2109.09265v1

• [cs.LG]Modeling Regime Shifts in Multiple Time Series
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
http://arxiv.org/abs/2109.09692v1

• [cs.LG]Multimodal Classification: Current Landscape, Taxonomy and Future Directions
William C. Sleeman IV, Rishabh Kapoor, Preetam Ghosh
http://arxiv.org/abs/2109.09020v1

• [cs.LG]Multiscale Manifold Warping
Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey
http://arxiv.org/abs/2109.09222v1

• [cs.LG]Network Clustering by Embedding of Attribute-augmented Graphs
Pasqua D’Ambra, Clara De Santis, Panayot S. Vassilevski, Luisa Cutillo
http://arxiv.org/abs/2109.09367v1

• [cs.LG]Neural forecasting at scale
Philippe Chatigny, Boris N. Oreshkin, Jean-Marc Patenaude and, Shengrui Wang
http://arxiv.org/abs/2109.09705v1

• [cs.LG]On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars
Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy
http://arxiv.org/abs/2109.09060v1

• [cs.LG]PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zięba, Patryk Wielopolski, Rafał Kurczab, Marek Śmieja
http://arxiv.org/abs/2109.09011v1

• [cs.LG]Predicting vehicles parking behaviour in shared premises for aggregated EV electricity demand response programs
Vinicius Monteiro de Lira, Fabiano Pallonetto, Lorenzo Gabrielli, Chiara Renso
http://arxiv.org/abs/2109.09666v1

• [cs.LG]Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction
Mingxuan Liang, Kai Zhou
http://arxiv.org/abs/2109.09189v1

• [cs.LG]Regularize! Don’t Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures
Chapman Siu, Jason Traish, Richard Yi Da Xu
http://arxiv.org/abs/2109.09038v1

• [cs.LG]Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji, Thorben Funke, Megha Khosla
http://arxiv.org/abs/2109.08907v1

• [cs.LG]Rethnicity: Predicting Ethnicity from Names
Fangzhou Xie
http://arxiv.org/abs/2109.09228v1

• [cs.LG]S $今日学术视野(2021.9.22) - 图4$ VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani, Arihant Jain, Sumukh K Aithal, R. Venkatesh Babu
http://arxiv.org/abs/2109.08901v1

• [cs.LG]Scaling TensorFlow to 300 million predictions per second
Jan Hartman, Davorin Kopič
http://arxiv.org/abs/2109.09541v1

• [cs.LG]Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Praveen Joshi, Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzamana, Ted Scully, Haithem Afli
http://arxiv.org/abs/2109.09246v1

• [cs.LG]Temporal Knowledge Graph Completion using Box Embeddings
Johannes Messner, Ralph Abboud, İsmail İlkan Ceylan
http://arxiv.org/abs/2109.08970v1

• [cs.LG]The Optimization of the Constant Flow Parallel Micropump Using RBF Neural Network
Chenyang Ma, Boyuan Xu
http://arxiv.org/abs/2109.08717v1

• [cs.LG]Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression
Haizhou Du, Xiaojie Feng, Qiao Xiang, Haoyu Liu
http://arxiv.org/abs/2109.08819v1

• [cs.LG]Towards Representation Learning for Atmospheric Dynamics
Sebastian Hoffmann, Christian Lessig
http://arxiv.org/abs/2109.09076v1

• [cs.LG]Towards Resilient Artificial Intelligence: Survey and Research Issues
Oliver Eigner, Sebastian Eresheim, Peter Kieseberg, Lukas Daniel Klausner, Martin Pirker, Torsten Priebe, Simon Tjoa, Fiammetta Marulli, Francesco Mercaldo
http://arxiv.org/abs/2109.08904v1

• [cs.LG]Unsupervised Continual Learning in Streaming Environments
Andri Ashfahani, Mahardhika Pratama
http://arxiv.org/abs/2109.09282v1

• [cs.LG]When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?
Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis, Kenji Kawaguchi
http://arxiv.org/abs/2109.09444v1

• [cs.NE]A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star
Bryar A. Hassan, Tarik A. Rashid, Hozan K. Hamarashid
http://arxiv.org/abs/2109.09492v1

• [cs.NE]An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
http://arxiv.org/abs/2109.09351v1

• [cs.NE]Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level
Felix Last, Ceren Yeni, Ulf Schlichtmann
http://arxiv.org/abs/2109.09502v1

• [cs.NE]Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang, Xin Yao
http://arxiv.org/abs/2109.09054v1

• [cs.NE]Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
Yingtao Tian, David Ha
http://arxiv.org/abs/2109.08857v1

• [cs.NI]Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems
Mate Boban, Marco Giordani, Michele Zorzi
http://arxiv.org/abs/2109.09376v1

• [cs.RO]A Conformal Mapping-based Framework for Robot-to-Robot and Sim-to-Real Transfer Learning
Shijie Gao, Nicola Bezzo
http://arxiv.org/abs/2109.09214v1

• [cs.RO]A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration
Ana Batinovic, Antun Ivanovic, Tamara Petrovic, Stjepan Bogdan
http://arxiv.org/abs/2109.09323v1

• [cs.RO]Active Information Acquisition under Arbitrary Unknown Disturbances
Jennifer Wakulicz, He Kong, Salah Sukkarieh
http://arxiv.org/abs/
1000
/2109.09079v1
1000
/2109.09079v1)

• [cs.RO]AirLoop: Lifelong Loop Closure Detection
Dasong Gao, Chen Wang, Sebastian Scherer
http://arxiv.org/abs/2109.08975v1

• [cs.RO]BFAR-Bounded False Alarm Rate detector for improved radar odometry estimation
Anas Alhashimi, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Achim J. Lilienthal
http://arxiv.org/abs/2109.09669v1

• [cs.RO]Baby Robot: Improving the Motor Skills of Toddlers
Eric Cañas, Alba M. G. Garcia, Anaís Garrell, Cecilio Angulo
http://arxiv.org/abs/2109.09223v1

• [cs.RO]CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
Bowen Wen, Wenzhao Lian, Kostas Bekris, Stefan Schaal
http://arxiv.org/abs/2109.09163v1

• [cs.RO]Conditions for energetically-optimal elasticity and their implications for biomimetic propulsion systems
Arion Pons, Tsevi Beatus
http://arxiv.org/abs/2109.09172v1

• [cs.RO]Continuous-Time Spline Visual-Inertial Odometry
Jiawei Mo, Junaed Sattar
http://arxiv.org/abs/2109.09035v1

• [cs.RO]Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
Deyu Yang, Hanbo Zhang, Xuguang Lan, Jishiyu Ding
http://arxiv.org/abs/2109.08903v1

• [cs.RO]Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment
Chaitanyavishnu S. Gadde, Mohitvishnu S. Gadde, Nishant Mohanty, Suresh Sundaram
http://arxiv.org/abs/2109.09159v1

• [cs.RO]Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a Decoupled Actuated SLIP Model
Ke Wang, Hengyi Fei, Petar Kormushev
http://arxiv.org/abs/2109.09373v1

• [cs.RO]Fast User Adaptation for Human Motion Prediction in Physical Human-Robot Interaction
Hee-Seung Moon, Jiwon Seo
http://arxiv.org/abs/2109.08881v1

• [cs.RO]Generating Active Explicable Plans in Human-Robot Teaming
Akkamahadevi Hanni, Yu Zhang
http://arxiv.org/abs/2109.08834v1

• [cs.RO]Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation
Meng Guo, Mathias Bürger
http://arxiv.org/abs/2109.08993v1

• [cs.RO]HiTMap: A Hierarchical Topological Map Representation for Navigation in Unknown Environments
Xuecheng Xu, Cheng Wang, Yue Wang, Rong Xiong
http://arxiv.org/abs/2109.09293v1

• [cs.RO]Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
Fan Bai, Fei Meng, Jianbang Liu, Jiankun Wang, Max Q. -H. Meng
http://arxiv.org/abs/2109.08973v1

• [cs.RO]Human Initiated Grasp Space Exploration Algorithm for an Underactuated Robot Gripper Using Variational Autoencoder
Clément Rolinat, Mathieu Grossard, Saifeddine Aloui, Christelle Godin
http://arxiv.org/abs/2109.09572v1

• [cs.RO]Learning Latent Actions without Human Demonstrations
Shaunak Mehta, Sagar Parekh, Dylan Losey
http://arxiv.org/abs/2109.08801v1

• [cs.RO]Learning to Regrasp by Learning to Place
Shuo Cheng, Kaichun Mo, Lin Shao
http://arxiv.org/abs/2109.08817v1

• [cs.RO]Localization with Directional Coordinates
Charles Champagne Cossette, Mohammed Shalaby, David Saussié, James Richard Forbes
http://arxiv.org/abs/2109.09229v1

• [cs.RO]Model-Free Safety-Critical Control for Robotic Systems
Tamas G. Molnar, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames
http://arxiv.org/abs/2109.09047v1

• [cs.RO]NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations
Cagri Kilic, Bernardo Martinez R. Jr., Christopher A. Tatsch, Jared Beard, Jared Strader, Shounak Das, Derek Ross, Yu Gu, Guilherme A. S. Pereira, Jason N. Gross
http://arxiv.org/abs/2109.09620v1

• [cs.RO]Observability-Aware Trajectory Optimization: Theory, Viability, and State of the Art
Christopher Grebe, Emmett Wise, Jonathan Kelly
http://arxiv.org/abs/2109.09007v1

• [cs.RO]Online Distributed Trajectory Planning for Quadrotor Swarm with Feasibility Guarantee using Linear Safe Corridor
Jungwon Park, Dabin Kim, Gyeong Chan Kim, Dahyun Oh, H. Jin Kim
http://arxiv.org/abs/2109.09041v1

• [cs.RO]Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
http://arxiv.org/abs/2109.08815v1

• [cs.RO]Robot’s Inner Speech Effects on Trust and Anthropomorphic Cues in Human-Robot Cooperation
Arianna Pipitone, Alessandro Geraci, Antonella D’Amico, Valeria Seidita, Antonio Chella
http://arxiv.org/abs/2109.09388v1

• [cs.RO]Robust-by-Design Plans for Multi-Robot Pursuit-Evasion
Trevor Olsen, Nicholas M. Stiffler, Jason M. O’Kane
http://arxiv.org/abs/2109.08715v1

• [cs.RO]Search-Based Task Planning with
1000
Learned Skill Effect Models for Lifelong Robotic Manipulation
Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena, Oliver Kroemer
http://arxiv.org/abs/2109.08771v1

• [cs.RO]Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling
Wei Chen, Jianshu Zhou, Shing Shin Cheng, Yiang Lu, Fangxun Zhong, Yuan Gao, Yaqing Wang, Lingbin Xue, Michael C. F. Tong, Yun-Hui Liu
http://arxiv.org/abs/2109.09403v1

• [cs.RO]Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseok Lee, Jianxiang Feng, Matthias Humt, Marcus Müller, Rudolph Triebel
http://arxiv.org/abs/2109.09690v1

• [cs.RO]Understanding Xacro Misunderstandings
Nicholas Albergo, Vivek Rathi, John-Paul Ore
http://arxiv.org/abs/2109.09694v1

• [cs.RO]Visual Representation Learning for Preference-Aware Path Planning
Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas
http://arxiv.org/abs/2109.08968v1

• [cs.SD]ARCA23K: An audio dataset for investigating open-set label noise
Turab Iqbal, Yin Cao, Andrew Bailey, Mark D. Plumbley, Wenwu Wang
http://arxiv.org/abs/2109.09227v1

• [cs.SD]Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition
Nhat Truong Pham, Duc Ngoc Minh Dang, Sy Dzung Nguyen
http://arxiv.org/abs/2109.09026v1

• [cs.SD]MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification
Pei-Chun Chang, Yong-Sheng Chen, Chang-Hsing Lee
http://arxiv.org/abs/2109.08910v1

• [cs.SD]SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification
Wentao Zhu, Tianlong Kong, Shun Lu, Jixiang Li, Dawei Zhang, Feng Deng, Xiaorui Wang, Sen Yang, Ji Liu
http://arxiv.org/abs/2109.08839v1

• [cs.SD]TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method
Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiangyang Li, Tao Qin, Tie-Yan Liu
http://arxiv.org/abs/2109.09617v1

• [cs.SI]Characterizing User Susceptibility to COVID-19 Misinformation on Twitter
Xian Teng, Yu-Ru Lin, Wen-Ting Chung, Ang Li, Adriana Kovashka
http://arxiv.org/abs/2109.09532v1

• [cs.SI]Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks
Mustafa Toprak, Chiara Boldrini, Andrea Passarella, Marco Conti
http://arxiv.org/abs/2109.09190v1

• [cs.SI]How Does Facebook Retain Segregated Friendship? An Agent-Based Model Approach
Firman M. Firmansyah
http://arxiv.org/abs/2109.08862v1

• [cs.SI]On the Dynamics of Political Discussions on Instagram: A Network Perspective
Carlos H. G. Ferreira, Fabricio Murai, Ana P. C. Silva, Jussara M. Almeida, Martino Trevisan, Luca Vassio, Marco Mellia, Idilio Drago
http://arxiv.org/abs/2109.09152v1

• [cs.SI]POI Alias Discovery in Delivery Addresses using User Locations
Tianfu He, Guochun Chen, Chuishi Meng, Huajun He, Zheyi Pan, Yexin Li, Sijie Ruan, Huimin Ren, Ye Yuan, Ruiyuan Li, Junbo Zhang, Jie Bao, Hui He, Yu Zheng
http://arxiv.org/abs/2109.09290v1

• [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/2109.08906v1

• [cs.SI]The 2021 RecSys Challenge Dataset: Fairness is not optional
Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi
http://arxiv.org/abs/2109.08245v2

• [econ.TH]UTXO in Digital Currencies: Account-based or Token-based? Or Both?
Aldar C-F. Chan
http://arxiv.org/abs/2109.09294v1

• [eess.AS]Acoustic Echo Cancellation using Residual U-Nets
J. Silva-Rodríguez, M. F. Dolz, M. Ferrer, A. Castelló, V. Naranjo, G. Piñero
http://arxiv.org/abs/2109.09686v1

• [eess.AS]Fast query-by-example speech search using separable model
Yuguang Yang, Yu Pan, Xin Dong, Minqiang Xu
http://arxiv.org/abs/2109.08870v1

• [eess.IV]A novel optical needle probe for deep learning-based tissue elasticity characterization
Robin Mieling, Johanna Sprenger, Sarah Latus, Lennart Bargsten, Alexander Schlaefer
http://arxiv.org/abs/2109.09362v1

• [eess.IV]A survey on deep learning approaches for breast cancer diagnosis
Timothy Kwong, Samaneh Mazaheri
http://arxiv.org/abs/2109.08853v1

• [eess.IV]Asymmetric 3D Context Fusion for Universal Lesion Detection
Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni
http://arxiv.org/abs/2109.08684v1

• [eess.IV]Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
Bahareh Behboodi, Hassan Rivaz, Susan Lalondrelle, Emma Harris
http://arxiv.org/abs/2109.09283v1

• [eess.IV]ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
Joshua P. Ebenezer, Zaixi Shang, Yongjun Wu, Hai Wei, Sriram Sethuraman, Alan C. Bovik
http://arxiv.org/abs/2109.08726v1

• [eess.IV]DEM Super-Resolution with EfficientNetV2
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir
http://arxiv.org/abs/2109.09661v1

• [eess.IV]Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images
Lukas Uzolas, Javier Rico, Pierrick Coupé, Juan C. SanMiguel, György Cserey
http://arxiv.org/abs/2109.09702v1

• [eess.IV]DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu
http://arxiv.org/abs/2109.09188v1

• [eess.IV]DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin
http://arxiv.org/abs/2109.09271v1

• [eess.IV]FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal
Lina Zhuang, Michael K. Ng
http://arxiv.org/abs/2109.08879v1

• [eess.IV]Human Recognition based on Retinal Bifurcations and Modified Correlation Function
Amin Dehghani
http://arxiv.org/abs/2109.08977v1

• [eess.IV]Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning
Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan
http://arxiv.org/abs/2109.09129v1

• [eess.IV]Improved AI-based segmentation of apical and basal slices from clinical cine CMR
Jorge Mariscal-Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
http://arxiv.org/abs/2109.09421v1

• [eess.IV]Interpolation variable rate image compression
Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Dongyang Li, Hao Li
http://arxiv.org/abs/2109.09280v1

• [eess.IV]On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
Alessandro Sebastianelli, Daniela A. Zaidenberg, Dario Spiller, Bertrand Le Saux, Silvia Liberata Ullo
http://arxiv.org/abs/2109.09484v1

• [eess.IV]Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data
M. Godbout, A. Lachance, F. Antaki, A. Dirani, A. Durand
http://arxiv.org/abs/2109.09463v1

• [eess.IV]Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger
http://arxiv.org/abs/2109.09518v1

• [eess.IV]Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
http://arxiv.org/abs/2109.09004v1

• [eess.IV]RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni
http://arxiv.org/abs/2109.09521v1

• [eess.IV]Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans
Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Pascal N. Tyrrell, Faranak Babaki Fard, Konstantinos N. plataniotis, Arash Mohammadi
http://arxiv.org/abs/2109.09241v1

• [eess.IV]Segmentation of Brain MRI using an Altruistic Harris Hawks’ Optimization algorithm
Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar
http://arxiv.org/abs/2109.08688v1

• [eess.IV]Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab, Rehab Duwiari
http://arxiv.org/abs/2109.08685v1

• [eess.IV]Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics
Kwangjin Yoon
http://arxiv.org/abs/2109.09071v1

• [eess.IV]The Report on China-Spain Joint Clinical Testing for Rapid COVID-19 Risk Screening by Eye-region Manifestations
Yanwei Fu, Feng Li, Paula boned Fustel, Lei Zhao, Lijie Jia, Haojie Zheng, Qiang Sun, Shisong Rong, Haicheng Tang, Xiangyang Xue, Li Yang, Hong Li, Jiao Xie Wenxuan Wang, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian, Mengwei Gu
http://arxiv.org/abs/2109.08807v1

• [eess.IV]Underwater Image Enhancement Using Convolutional Neural Network
Anushka Yadav, Mayank Upadhyay, Ghanapriya Singh
http://arxiv.org/abs/2109.08916v1

• [eess.IV]iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform
Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong
http://arxiv.org/abs/2109.08942v1

• [eess.SP]A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants’ Performance: A Case of California ISO
Ehsan Samani, Mahdi Kohansal, Hamed Mohsenian-Rad
http://arxiv.org/abs/2109.09238v1

• [eess.SP]Accelerated Stochastic Gradient for Nonnegative Tensor Completion and Parallel Implementation
Ioanna Siaminou, Ioannis Marios Papagiannakos, Christos Kolomvakis, Athanasios P. Liavas
http://arxiv.org/abs/2109.09534v1

• [eess.SP]Hodgelets: Localized Spectral Representations of Flows on Simplicial Complexes
T. Mitchell Roddenberry, Florian Frantzen, Michael T. Schaub, Santiago Segarra
http://arxiv.org/abs/2109.08728v1

• [eess.SP]KNN Learning Techniques for Proportional Myocontrol in Prosthetics
Tim Sziburis, Markus Nowak, Davide Brunelli
http://arxiv.org/abs/2109.08917v1

• [eess.SP]Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data
Barbara Pascal, Patrice Abry, Nelly Pustelnik, Stéphane G. Roux, Rémi Gribonval, Patrick Flandrin
http://arxiv.org/abs/2109.09595v1

• [eess.SY]Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets
Joaquín Torres-Sospedra, Ivo Silva, Lucie Klus, Darwin Quezada-Gaibor, Antonino Crivello, Paolo Barsocchi, Cristiano Pendão, Elena Simona Lohan, Jari Nurmi, Adriano Moreira
http://arxiv.org/abs/2109.09436v1

• [math-ph]Locally-symplectic neural networks for learning volume-preserving dynamics
Jānis Bajārs
http://arxiv.org/abs/2109.09151v1

• [math.CO]Moments of permutation statistics and central limit theorems
Stoyan Dimitrov, Niraj Khare
http://arxiv.org/abs/2109.09183v1

• [math.DS]Learning to Forecast Dynamical Systems from Streaming Data
Dimitris Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel Ward
http://arxiv.org/abs/2109.09703v1

• [math.DS]Persistent homology of convection cycles in network flows
Minh Quang Le, Dane Taylor
http://arxiv.org/abs/2109.08746v1

• [math.OC]A Reinforcement Learning Approach to the Stochastic Cutting Stock Problem
Anselmo R. Pitombeira-Neto, Arthur H. Fonseca Murta
http://arxiv.org/abs/2109.09592v1

• [math.ST]A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter
Andrey A Popov, Amit N Subrahmanya, Adrian Sandu
http://arxiv.org/abs/2109.09673v1

• [math.ST]Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks
Zhichao Wang, Yizhe Zhu
http://arxiv.org/abs/2109.09304v1

• [math.ST]Graphical models for nonstationary time series
Sumanta Basu, Suhasini Subba Rao
http://arxiv.org/abs/2109.08709v1

• [math.ST]Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
http://arxiv.org/abs/2109.09590v1

• [math.ST]Phase transition and uncertainty quantification in variable selection and multiple testing
Eduard Belitser, Nurzhan Nurushev
http://arxiv.org/abs/2109.09239v1

• [math.ST]Sharp Concentration Inequalities for the Centered Relative Entropy
Alankrita Bhatt, Ankit Pensia
http://arxiv.org/abs/2109.09028v1

• [math.ST]The power of private likelihood-ratio tests for goodness-of-fit in frequency tables
Emanuele Dolera, Stefano Favaro
http://arxiv.org/abs/2109.09630v1

• [math.ST]`Basic’ Generalization Error Bounds for Least Squares Regression with Well-specified Models
Karthik Duraisamy
http://arxiv.org/abs/2109.09647v1

• [physics.comp-ph]Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Viktor Zaverkin, David Holzmüller, Ingo Steinwart, Johannes Kästner
http://arxiv.org/abs/2109.09569v1

• [physics.flu-dyn]PCNN: A physics-constrained neural network for multiphase flows
Haoyang Zheng, Ziyang Huang, Guang Lin
http://arxiv.org/abs/2109.08965v1

• [physics.flu-dyn]Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network
Ekhi Ajuria Illarramendi, Michaël Bauerheim, Bénédicte Cuenot
http://arxiv.org/abs/2109.09363v1

• [physics.geo-ph]Data-driven rational function neural networks: a new method for generating analytical models of rock physics
Weitao Sun
http://arxiv.org/abs/2109.08813v1

• [physics.plasm-ph]Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
J. Zhu, C. Rea, R. S. Granetz, E. S. Marmar, K. J. Montes, R. Sweeney, R. A. Tinguely, D. L. Chen, B. Shen, B. J. Xiao, D. Humphreys, J. Barr, O. Meneghini
http://arxiv.org/abs/2109.08956v1

• [q-bio.MN]Network Refinement: A unified framework for enhancing signal or removing noise of networks
Jiating Yu, Jiacheng Leng, Ling-Yun Wu
http://arxiv.org/abs/2109.09119v1

• [q-bio.NC]Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders
Christodoulos Kechris, Alexandros Delitzas, Vasileios Matsoukas, Panagiotis C. Petrantonakis
http://arxiv.org/abs/2109.08945v1

• [q-bio.QM]Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard
http://arxiv.org/abs/2109.09649v1

• [stat.AP]A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition
Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
http://arxiv.org/abs/2109.08800v1

• [stat.AP]A spatio-temporal analysis for power grid resilience to extreme weather
Shixiang Zhu, Rui Yao, Yao Xie, Feng Qiu, Xuan Wu
http://arxiv.org/abs/2109.09711v1

• [stat.AP]Coefficients of factor score determinacy for mean plausible values of Bayesian factor analysis
André Beauducel, Norbert Hilger
http://arxiv.org/abs/2109.09494v1

• [stat.AP]Estimations of the Conditional Tail Average Treatment Effect
Le-Yu Chen, Yu-Min Yen
http://arxiv.org/abs/2109.08793v1

• [stat.AP]Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data
Zheng Dong, Shixiang Zhu, Yao Xie, Jorge Mateu, Francisco J. Rodríguez-Cortés
http://arxiv.org/abs/2109.09029v1

• [stat.AP]Park factor estimation improvement using pairwise comparison method
Eiji Konaka
http://arxiv.org/abs/2109.09287v1

• [stat.CO]Asynchronous and Distributed Data Augmentation for Massive Data Settings
Jiayuan Zhou, Kshitij Khare, Sanvesh Srivastava
http://arxiv.org/abs/2109.08969v1

• [stat.ME]Approximate Conditional Sampling for Pattern Detection in Weighted Networks
James A. Scott, Axel Gandy
http://arxiv.org/abs/2109.09104v1

• [stat.ME]Estimation of Measures for Two-Way Contingency Tables Using the Bayesian Estimators
Tomotaka Momozaki, Koji Cho, Tomoyuki Nakagawa, Sadao Tomizawa
http://arxiv.org/abs/2109.09339v1

• [stat.ME]Quantile Regression for positive data using a general class of distributions
Diego I. Gallardo, Manoel Santos-Neto
http://arxiv.org/abs/2109.09281v1

• [stat.ME]Test Martingales for bounded random variables
Harrie Hendriks
http://arxiv.org/abs/2109.08923v1

• [stat.ME]Unifying Design-based Inference: A New Variance Estimation Principle
Joel A. Middleton
http://arxiv.org/abs/2109.09236v1

• [stat.ME]Unifying Design-based Inference: On Bounding and Estimating the Variance of any Linear Estimator in any Experimental Design
Joel A. Middleton
http://arxiv.org/abs/2109.09220v1

• [stat.ME]Vector-Valued Control Variates
Zhuo Sun, Alessandro Barp, François-Xavier Briol
http://arxiv.org/abs/2109.08944v1

• [stat.ML]Barely Biased Learning for Gaussian Process Regression
David R. Burt, Artem Artemev, Mark van der Wilk
http://arxiv.org/abs/2109.09417v1

• [stat.ML]Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly
Yuling Jiao, Dingwei Li, Min Liu, Xiliang Lu
http://arxiv.org/abs/2109.08850v1

• [stat.ML]Machine Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis
Christopher J. Urban, Daniel J. Bauer
http://arxiv.org/abs/2109.09500v1

• [stat.ML]Model-Based Approach for Measuring the Fairness in ASR
Zhe Liu, Irina-Elena Veliche, Fuchun Peng
http://arxiv.org/abs/2109.09061v1

• [stat.ML]Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi, Robert D. Nowak
http://arxiv.org/abs/2109.08844v1

• [stat.ML]Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
Gabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder, Giovanni Parmigiani
http://arxiv.org/abs/2109.09164v1

• [stat.ML]Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang
http://arxiv.org/abs/2109.09261v1

• [stat.ML]Understanding neural networks with reproducing kernel Banach spaces
Francesca Bartolucci, Ernesto De Vito, Lorenzo Rosasco, Stefano Vigogna
http://arxiv.org/abs/2109.09710v1