cond-mat.mtrl-sci - 材料科学
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.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.MM - 多媒体
    cs.MS - 数学软件
    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
    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.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.chem-ph -化学物理
    physics.flu-dyn - 流体动力学
    physics.plasm-ph - 等离子体物理
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-fin.CP -计算金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cond-mat.mtrl-sci]Scalable deeper graph neural networks for high-performance materials property prediction
    • [cs.AI]A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
    • [cs.AI]A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction
    • [cs.AI]Abstraction, Reasoning and Deep Learning: A Study of the “Look and Say” Sequence
    • [cs.AI]Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II
    • [cs.AI]Constrained Optimization with Qualitative Preferences
    • [cs.AI]Logical Credal Networks
    • [cs.AI]Path Based Hierarchical Clustering on Knowledge Graphs
    • [cs.AI]RuleBert: Teaching Soft Rules to Pre-trained Language Models
    • [cs.CL]A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
    • [cs.CL]An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
    • [cs.CL]An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
    • [cs.CL]An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog
    • [cs.CL]Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)
    • [cs.CL]BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
    • [cs.CL]Challenges and Opportunities of Speech Recognition for Bengali Language
    • [cs.CL]Challenging the Semi-Supervised VAE Framework for Text Classification
    • [cs.CL]Classifying Dyads for Militarized Conflict Analysis
    • [cs.CL]Context-guided Triple Matching for Multiple Choice Question Answering
    • [cs.CL]Controllable Neural Dialogue Summarization with Personal Named Entity Planning
    • [cs.CL]Coreference Resolution for the Biomedical Domain: A Survey
    • [cs.CL]Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation
    • [cs.CL]Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding
    • [cs.CL]DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
    • [cs.CL]Discovering Drug-Target Interaction Knowledge from Biomedical Literature
    • [cs.CL]Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution
    • [cs.CL]DziriBERT: a Pre-trained Language Model for the Algerian Dialect
    • [cs.CL]Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extraction
    • [cs.CL]Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt
    • [cs.CL]Enhancing Latent Space Clustering in Multi-filter Seq2Seq Model: A Reinforcement Learning Approach
    • [cs.CL]Entity Linking Meets Deep Learning: Techniques and Solutions
    • [cs.CL]Every time I fire a conversational designer, the performance of the dialog system goes down
    • [cs.CL]Extracting and Inferring Personal Attributes from Dialogue
    • [cs.CL]FQuAD2.0: French Question Answering and knowing that you know nothing
    • [cs.CL]Fake News Detection: Experiments and Approaches beyond Linguistic Features
    • [cs.CL]FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
    • [cs.CL]Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
    • [cs.CL]Finetuning Transformer Models to Build ASAG System
    • [cs.CL]Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
    • [cs.CL]Improving Question Answering Performance Using Knowledge Distillation and Active Learning
    • [cs.CL]Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information
    • [cs.CL]Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
    • [cs.CL]Investigating Non-local Features for Neural Constituency Parsing
    • [cs.CL]Jointly Learning to Repair Code and Generate Commit Message
    • [cs.CL]Knowledge-Aware Neural Networks for Medical Forum Question Classification
    • [cs.CL]Language Invariant Properties in Natural Language Processing
    • [cs.CL]Language Model Priming for Cross-Lingual Event Extraction
    • [cs.CL]Learning Neural Templates for Recommender Dialogue System
    • [cs.CL]Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
    • [cs.CL]MFAQ: a Multilingual FAQ Dataset
    • [cs.CL]MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
    • [cs.CL]Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework
    • [cs.CL]More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
    • [cs.CL]Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
    • [cs.CL]MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
    • [cs.CL]Multiplicative Position-aware Transformer Models for Language Understanding
    • [cs.CL]On the Prunability of Attention Heads in Multilingual BERT
    • [cs.CL]OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts
    • [cs.CL]Overview of the CLEF—2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
    • [cs.CL]Paradigm Shift in Natural Language Processing
    • [cs.CL]Parallel Refinements for Lexically Constrained Text Generation with BART
    • [cs.CL]Patterns of Lexical Ambiguity in Contextualised Language Models
    • [cs.CL]PicTalky: Augmentative and Alternative Communication Software for Language Developmental Disabilities
    • [cs.CL]Pragmatic competence of pre-trained language models through the lens of discourse connectives
    • [cs.CL]Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
    • [cs.CL]QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
    • [cs.CL]Recall and Learn: A Memory-augmented Solver for Math Word Problems
    • [cs.CL]Rumour Detection via Zero-shot Cross-lingual Transfer Learning
    • [cs.CL]Small data problems in political research: a critical replication study
    • [cs.CL]Sorting through the noise: Testing robustness of information processing in pre-trained language models
    • [cs.CL]Style Control for Schema-Guided Natural Language Generation
    • [cs.CL]Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
    • [cs.CL]Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning
    • [cs.CL]The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
    • [cs.CL]Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer
    • [cs.CL]Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
    • [cs.CL]Using Pause Information for More Accurate Entity Recognition
    • [cs.CL]Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
    • [cs.CL]XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge
    • [cs.CR]Universal Payment Channels: An Interoperability Platform for Digital Currencies
    • [cs.CV]A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
    • [cs.CV]A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection
    • [cs.CV]A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval
    • [cs.CV]A Simple Self-calibration Method for The Internal Time Synchronization of MEMS LiDAR
    • [cs.CV]A Video Summarization Method Using Temporal Interest Detection and Key Frame Prediction
    • [cs.CV]A novel network training approach for open set image recognition
    • [cs.CV]An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images
    • [cs.CV]An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
    • [cs.CV]Attention Gate in Traffic Forecasting
    • [cs.CV]Automated Multi-Process CTC Detection using Deep Learning
    • [cs.CV]Automatic Map Update Using Dashcam Videos
    • [cs.CV]Bayesian deep learning of affordances from RGB images
    • [cs.CV]Comparison of Object Detection Algorithms Using Video and Thermal Images Collected from a UAS Platform: An Application of Drones in Traffic Management
    • [cs.CV]Contrastive Learning for Mitochondria Segmentation
    • [cs.CV]Contrastive Unpaired Translation using Focal Loss for Patch Classification
    • [cs.CV]DAMix: Density-Aware Data Augmentation for Unsupervised Domain Adaptation on Single Image Dehazing
    • [cs.CV]Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels
    • [cs.CV]Deep Structured Instance Graph for Distilling Object Detectors
    • [cs.CV]Disentangled Feature Representation for Few-shot Image Classification
    • [cs.CV]Distribution-sensitive Information Retention for Accurate Binary Neural Network
    • [cs.CV]Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning
    • [cs.CV]Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
    • [cs.CV]Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
    • [cs.CV]Frequency Disentangled Residual Network
    • [cs.CV]Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
    • [cs.CV]GANiry: Bald-to-Hairy Translation Using CycleGAN
    • [cs.CV]Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
    • [cs.CV]Harrisz+: Harris Corner Selection for Next-Gen Image Matching Pipelines
    • [cs.CV]How much “human-like” visual experience do current self-supervised learning algorithms need to achieve human-level object recognition?
    • [cs.CV]ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
    • [cs.CV]Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series
    • [cs.CV]Joint Multimedia Event Extraction from Video and Article
    • [cs.CV]Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation
    • [cs.CV]Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
    • [cs.CV]Long-Range Feature Propagating for Natural Image Matting
    • [cs.CV]MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling
    • [cs.CV]Machine Learning based Medical Image Deepfake Detection: A Comparative Study
    • [cs.CV]Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
    • [cs.CV]Multi-Modal Multi-Instance Learning for Retinal Disease Recognition
    • [cs.CV]Multi-source Few-shot Domain Adaptation
    • [cs.CV]Multimodal Integration of Human-Like Attention in Visual Question Answering
    • [cs.CV]N-shot Palm Vein Verification Using Siamese Networks
    • [cs.CV]Nesterov Accelerated ADM
    b2c
    M for Fast Diffeomorphic Image Registration
    • [cs.CV]PASS: An ImageNet replacement for self-supervised pretraining without humans
    • [cs.CV]PETA: Photo Albums Event Recognition using Transformers Attention
    • [cs.CV]Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
    • [cs.CV]Predicting Driver Self-Reported Stress by Analyzing the Road Scene
    • [cs.CV]Research on facial expression recognition based on Multimodal data fusion and neural network
    • [cs.CV]Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
    • [cs.CV]Self-Supervised Video Representation Learning by Video Incoherence Detection
    • [cs.CV]Semi-Supervised Adversarial Discriminative Domain Adaptation
    • [cs.CV]Sparse Spatial Transformers for Few-Shot Learning
    • [cs.CV]Structure-Preserving Image Super-Resolution
    • [cs.CV]TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
    • [cs.CV]Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
    • [cs.CV]Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
    • [cs.CV]TreeNet: A lightweight One-Shot Aggregation Convolutional Network
    • [cs.CV]Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
    • [cs.CV]Using Soft Labels to Model Uncertainty in Medical Image Segmentation
    • [cs.CV]VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
    • [cs.CV]Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes
    • [cs.CV]Vision Transformer Hashing for Image Retrieval
    • [cs.CV]Visual Anomaly Detection for Images: A Survey
    • [cs.CV]Wasserstein Patch Prior for Image Superresolution
    • [cs.CY]How does fake news spread? Understanding pathways of disinformation spread through APIs
    • [cs.CY]Personal information self-management: A survey of technologies supporting administrative services
    • [cs.CY]Sustainable Urban Mobility in the Post-Pandemic Era (position paper)
    • [cs.CY]The Forgotten Preconditions for a Well-Functioning Internet
    • [cs.CY]Using Comics to Introduce and Reinforce Programming Concepts in CS1
    • [cs.CY]Weather of the Dorm WIFI Ecosystem at the University of Colorado Boulder for Fall Semester 2019 to Spring Semester 2020 a Case Study of WIFI and a Campus Response to the COVID-19 Perturbation
    • [cs.DC]A Doubly-pipelined, Dual-root Reduction-to-all Algorithm and Implementation
    • [cs.DC]A communication efficient distributed learning framework for smart environments
    • [cs.DC]Aristotle Cloud Federation: Container Runtimes Technical Report
    • [cs.DC]Asynchronous Gathering Algorithms for Autonomous Mobile Robots with Lights
    • [cs.DC]Basil: Breaking up BFT with ACID (transactions)
    • [cs.DC]BigBFT: A Multileader Byzantine Fault Tolerance Protocol for High Throughput
    • [cs.DC]Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis
    • [cs.DC]Distributed Computing With the Cloud
    • [cs.DC]Extending Lattice linearity for Self-Stabilizing Algorithms
    • [cs.DC]Good-case and Bad-case Latency of Unauthenticated Byzantine Broadcast: A Complete Categorization
    • [cs.DC]Invited Paper: Failure is (literally) an Option: Atomic Commitment vs Optionality in Decentralized Finance
    • [cs.DC]LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
    • [cs.DC]Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics
    • [cs.DC]Message Delivery in the Plane by Robots with Different Speeds
    • [cs.DC]NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs
    • [cs.DC]On the Fairness of Swarm Learning in Skin Lesion Classification
    • [cs.DC]Rabia: Simplifying State-Machine Replication Through Randomization
    • [cs.DC]Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
    • [cs.DL]Expressing High-Level Scientific Claims with Formal Semantics
    • [cs.DL]The Colombian Scientific Elite — Science Mapping and Bibliometric Outlook
    • [cs.GR]Mixed Integer Neural Inverse Design
    • [cs.GT]Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion
    • [cs.GT]Equilibria and learning dynamics in mixed network coordination/anti-coordination games
    • [cs.GT]Robust Coordination in Networks
    • [cs.HC]A Study of Fake News Reading and Annotating in Social Media Context
    • [cs.HC]Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
    • [cs.IR]Deep Exploration for Recommendation Systems
    • [cs.IR]DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction
    • [cs.IR]Dynamic Sequential Graph Learning for Click-Through Rate Prediction
    • [cs.IR]Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
    • [cs.IR]ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation
    • [cs.IR]MC今日学术视野(2021.9.29) - 图1-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation
    • [cs.IR]Review of Clustering-Based Recommender Systems
    • [cs.IR]SimpleX: A Simple and Strong Baseline for Collaborative Filtering
    • [cs.IR]Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts
    • [cs.IR]Why Do We Click: Visual Impression-aware News Recommendation
    • [cs.IT]A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
    • [cs.IT]Blind Interference Alignment in 6G Optical Wireless Communications
    • [cs.IT]Channel Customization for Joint Tx-RISs-Rx Design in Hybrid mmWave systems
    • [cs.IT]Deformed logarithms. Associated entropic divergences. Applications to linear inverse problems. Inversion algorithms
    • [cs.IT]Dynamic Risk Assessment for Geologic CO2 Sequestration
    • [cs.IT]Fast Successive-Cancellation List Flip Decoding of Polar Codes
    • [cs.IT]High-Rate Uninterrupted Internet-of-Vehicle Communications in Highways: Dynamic Blockage Avoidance and CSIT Acquisition
    • [cs.IT]Investigations on Automorphism Groups of Quantum Stabilizer Codes
    • [cs.IT]List-GRAND: A practical way to achieve Maximum Likelihood Decoding
    • [cs.IT]Optimizing Age-of-Information in Adversarial Environments with Channel State Information
    • [cs.IT]Performance Analyses of TAS/Alamouti-MRC NOMA in Dual-Hop Full-Duplex AF Relaying Networks
    • [cs.IT]Replica Analysis for Generalized Linear Regression with IID Row Prior
    • [cs.IT]The DNA Storage Channel: Capacity and Error Probability
    • [cs.LG]A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
    • [cs.LG]AI Explainability 360: Impact and Design
    • [cs.LG]An IIoT machine model for achieving consistency in product quality in manufacturing plants
    • [cs.LG]Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data
    • [cs.LG]AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
    • [cs.LG]Auditing AI models for Verified Deployment under Semantic Specifications
    • [cs.LG]Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders
    • [cs.LG]Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
    • [cs.LG]Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
    • [cs.LG]ClipMatrix: Text-controlled Creation of 3D Textured Meshes
    • [cs.LG]Cluster Analysis with Deep Embeddings and Contrastive Learning
    • [cs.LG]Compressive Visual Representations
    • [cs.LG]Consistency Training of Multi-exit Architectures for Sensor Data
    • [cs.LG]Curvature Injected Adaptive Momentum Optimizer for Convolutional Neural Networks
    • [cs.LG]DAReN: A Collaborative Approach Towards Reasoning And Disentangling
    • [cs.LG]Data Summarization via Bilevel Optimization
    • [cs.LG]Deep Learning Based Resource Assignment for Wireless Networks
    • [cs.LG]Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
    • [cs.LG]Distributionally Robust Multi-Output Regression Ranking
    • [cs.LG]Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
    • [cs.LG]Efficient Non-linear Calculators
    • [cs.LG]Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration
    • [cs.LG]FedProc: Prototypical Contrastive Federated Learning on Non-IID data
    • [cs.LG]Federated Deep Learning with Bayesian Privacy
    • [cs.LG]Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
    • [cs.LG]Graph Encoder Embedding
    • [cs.LG]Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving
    • [cs.LG]HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
    • [cs.LG]Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark
    • [cs.LG]Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
    • [cs.LG]Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
    • [cs.LG]Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data
    • [cs.LG]L今日学术视野(2021.9.29) - 图2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
    • [cs.LG]LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
    • [cs.LG]Learning Multimodal Rewards from Rankings
    • [cs.LG]Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
    • [cs.LG]Long-Range Transformers for Dynamic Spatiotemporal Forecasting
    • [cs.LG]ML4ML: Automated Invariance Testing for Machine Learning Models
    • [cs.LG]MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles
    • [cs.LG]MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
    • [cs.LG]MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
    • [cs.LG]MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
    • [cs.LG]Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients
    • [cs.LG]NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming
    • [cs.LG]NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU
    • [cs.LG]Opacus: User-Friendly Differential Privacy Library in PyTorch
    • [cs.LG]Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
    • [cs.LG]Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving
    • [cs.LG]Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search
    • [cs.LG]Quantization for Distributed Optimization
    • [cs.LG]Query-based Adversarial Attacks on Graph with Fake Nodes
    • [cs.LG]Random Walk-steered Majority Undersampling
    • [cs.LG]ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs
    • [cs.LG]SAU: Smooth activation function using convolution with approximate identities
    • [cs.LG]Searching for Minimal Optimal Neural Networks
    • [cs.LG]Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network
    • [cs.LG]Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization
    • [cs.LG]Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
    • [cs.LG]Synthetic Data Generation for Fraud Detection using GANs
    • [cs.LG]TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
    • [cs.LG]Time Series Model Attribution Visualizations as Explanations
    • [cs.LG]Training on Test Data with Bayesian Adaptation for Covariate Shift
    • [cs.LG]Understanding and Overcoming the Challenges of Efficient Transformer Quantization
    • [cs.LG]Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
    • [cs.MM]High Frame Rate Video Quality Assessment using VMAF and Entropic Differences
    • [cs.MS]AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
    • [cs.NE]An optimised deep spiking neural network architecture without gradients
    • [cs.NE]Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian
    • [cs.NE]Half a Dozen Real-World Applications of Evolutionary Multitasking and More
    • [cs.NE]Self-Replicating Neural Programs
    • [cs.NE]Spiking neural networks trained via proxy
    • [cs.NE]Training Spiking Neural Networks Using Lessons From Deep Learning
    • [cs.NI]DRL-based Slice Placement under Realistic Network Load Conditions
    • [cs.NI]Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach
    • [cs.RO]A 3-DOF Robotic Platform for the Rehabilitation of Reaction Time and Balance Skills of MS Patients
    • [cs.RO]A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor
    • [cs.RO]A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor
    • [cs.RO]A Fast Computational Optimization for Optimal Control and Trajectory Planning for Obstacle Avoidance between Polytopes
    • [cs.RO]A Multi-Agent System for Autonomous Mobile Robot Coordination
    • [cs.RO]Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends
    • [cs.RO]Anytime Game-Theoretic Planning with Active Reasoning About Humans’ Latent States for Human-Centered Robots
    • [cs.RO]Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
    • [cs.RO]CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure
    • [cs.RO]Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra
    • [cs.RO]Dynamic Allocation of Visual Attention for Vision-based Autonomous Navigation under Data Rate Constraints
    • [cs.RO]Efficient Force Estimation for Continuum Robot
    • [cs.RO]Embedded Hardware Appropriate Fast 3D Trajectory Optimization for Fixed Wing Aerial Vehicles by Leveraging Hidden Convex Structures
    • [cs.RO]Emotional Speech Synthesis for Companion Robot to Imitate Professional Caregiver Speech
    • [cs.RO]Finite State Machine Policies Modulating Trajectory Generator
    • [cs.RO]From Bench to Bedside: The First Live Robotic Surgery on the dVRK to Enable Remote Telesurgery with Motion Scaling
    • [cs.RO]Fully Differentiable and Interpretable Model for VIO with 4 Trainable Parameters
    • [cs.RO]G-VOM: A GPU Accelerated Voxel Off-Road Mapping System
    • [cs.RO]GPU Accelerated Batch Multi-Convex Trajectory Optimization for a Rectangular Holonomic Mobile Robot
    • [cs.RO]Improved Soft Duplicate Detection in Search-Based Motion Planning
    • [cs.RO]Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks
    • [cs.RO]Learning of Parameters in Behavior Trees for Movement Skills
    • [cs.RO]Linear Policies are Sufficient to Realize Robust Bipedal Walking on Challenging Terrains
    • [cs.RO]Low Cost Bin Picking Solution for E-Commerce Warehouse Fulfillment Centers
    • [cs.RO]Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery
    • [cs.RO]Non-prehensile Planar Manipulation via Trajectory Optimization with Complementarity Constraints
    • [cs.RO]Nonlinear MPC for Quadrotor Fault-Tolerant Control
    • [cs.RO]On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing
    • [cs.RO]Precision fruit tree pruning using a learned hybrid vision/interaction controller
    • [cs.RO]Robotic Vision for Space Mining
    • [cs.RO]Robust SLAM Systems: Are We There Yet?
    • [cs.RO]Singularities of serial robots: Identification and distance computation using geometric algebra
    • [cs.RO]Toolbox Release: A WiFi-Based Relative Bearing Sensor for Robotics
    • [cs.RO]Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation
    • [cs.RO]VP-GO: a “light” action-conditioned visual prediction model
    • [cs.RO]Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach
    • [cs.SD]Soundata: A Python library for reproducible use of audio datasets
    • [cs.SI]Anomalous Edge Detection in Edge Exchangeable Social Network Models
    • [cs.SI]Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)
    • [cs.SI]Interpretable Business Survival Prediction
    • [cs.SI]Know it to Defeat it: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis
    • [cs.SI]Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information
    • [cs.SI]News Consumption in Time of Conflict: 2021 Palestinian-Israel War as an Example
    • [cs.SI]Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
    • [cs.SI]Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada’s Obesity Epidemic
    • [cs.SI]The Spread of Propaganda by Coordinated Communities on Social Media
    • [cs.SI]Under the Skin of Foundation NFT Auctions
    • [eess.AS]BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition
    • [eess.AS]Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates
    • [eess.IV]A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
    • [eess.IV]BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
    • [eess.IV]Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
    • [eess.IV]EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography
    • [eess.IV]Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
    • [eess.IV]Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion
    • [eess.IV]Leveraging Multiple CNNs for Triaging Medical Workflow
    • [eess.IV]Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation
    • [eess.IV]Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
    • [eess.IV]Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
    • [eess.IV]ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
    • [eess.IV]Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
    • [eess.SP]Channel State Information Based Localization with Deep Learning
    • [eess.SP]Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
    • [eess.SY]An Adaptive PID Autotuner for Multicopters with Experimental Results
    • [eess.SY]Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
    • [eess.SY]Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
    • [math.OC]Accelerated nonlinear primal-dual hybrid gradient algorithms with applications to machine learning
    • [math.OC]Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
    • [math.OC]Distributed Online Optimization with Byzantine Adversarial Agents
    • [math.OC]Reducing the LQG Cost with Minimal Communication
    • [math.PR]Cramér moderate deviations for a supercritical Galton-Watson process
    • [math.ST]Estimating the characteristics of stochastic damping Hamiltonian systems from continuous observations
    • [math.ST]Heat diffusion distance processes: a statistically founded method to analyze graph data sets
    • [math.ST]Mathematical properties and finite-population correction for the Wilson score interval
    • [math.ST]Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
    • [math.ST]On a multivariate copula-based dependence measure and its estimation
    • [math.ST]Parameterising the effect of a continuous exposure using average derivative effects
    • [physics.chem-ph]Autoregressive neural-network wavefunctions for ab initio quantum chemistry
    • [physics.chem-ph]Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells
    • [physics.flu-dyn]Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network
    • [physics.flu-dyn]Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network
    • [physics.plasm-ph]Learning Transport Processes with Machine Intelligence
    • [physics.soc-ph]How the Avengers Assembled? Analysis of Marvel Hero Social Network
    • [q-bio.NC]Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes
    • [q-bio.NC]From internal models toward metacognitive AI
    • [q-fin.CP]Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility
    • [quant-ph]Classical State Masking over a Quantum Channel
    • [quant-ph]Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
    • [quant-ph]Optimal Simulation of Quantum Measurements via the Likelihood POVMs
    • [quant-ph]Strong entanglement distribution of quantum networks
    • [stat.AP]Disentangling the positive partisanship from the negative in affective polarization using a coevolving latent space network with attractors (CLSNA) model
    • [stat.AP]Influence of Mobility Restrictions on Transmission of COVID-19 in the state of Maryland — the USA
    • [stat.AP]Non-destructive methods for assessing tree fiber length distributions in standing trees
    • [stat.AP]Statistical Inference for Data Integration
    • [stat.CO]onlineforecast: An R package for adaptive and recursive forecasting
    • [stat.CO]pyStoNED: A Python Package for Convex Regression and Frontier Estimation
    • [stat.ME]A Bimodal Model for Extremes Data
    • [stat.ME]Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries
    • [stat.ME]Analysis and Methods to Mitigate Effects of Under-reporting in Count Data
    • [stat.ME]Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures
    • [stat.ME]Canonical fundamental skew-t linear mixed models
    • [stat.ME]Continuous-time modeling of self-reported outcome data: a dynamic Item Response Theory model
    • [stat.ME]Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization
    • [stat.ME]IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions
    • [stat.ME]Learning non-monotone optimal individualized treatment regimes
    • [stat.ME]Locally Sparse Function on function Regression
    • [stat.ME]The hazard ratio is interpretable as an odds or a probability under the assumption of proportional hazards
    • [stat.ML]A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States
    • [stat.ML]Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers
    • [stat.ML]Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
    • [stat.ML]Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
    • [stat.ML]Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization
    • [stat.ML]Optimal policy evaluation using kernel-based temporal difference methods
    • [stat.ML]Optimising for Interpretability: Convolutional Dynamic Alignment Networks
    • [stat.ML]Probability Distribution on Full Rooted Trees
    • [stat.ML]Provable Low Rank Plus Sparse Matrix Separation Via Nonconvex Regularizers
    • [stat.ML]Ridgeless Interpolation with Shallow ReLU Networks in 今日学术视野(2021.9.29) - 图3 is Nearest Neighbor Curvature Extrapolation and Provably Generalizes on Lipschitz Functions
    • [stat.ML]Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach

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

    • [cond-mat.mtrl-sci]Scalable deeper graph neural networks for high-performance materials property prediction
    Sadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu
    http://arxiv.org/abs/2109.12283v1

    • [cs.AI]A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
    Huaduo Wang, Farhad Shakerin, Gopal Gupta
    http://arxiv.org/abs/2109.12624v1

    • [cs.AI]A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction
    Marco Matarese, Francesco Rea, Alessandra Sciutti
    http://arxiv.org/abs/2109.12912v1

    • [cs.AI]Abstraction, Reasoning and Deep Learning: A Study of the “Look and Say” Sequence
    Wlodek W. Zadrozny
    http://arxiv.org/abs/2109.12755v1

    • [cs.AI]Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II
    Michał Opanowicz
    http://arxiv.org/abs/2109.12691v1

    • [cs.AI]Constrained Optimization with Qualitative Preferences
    Sultan Ahmed, Malek Mouhoub
    http://arxiv.org/abs/2109.12179v1

    • [cs.AI]Logical Credal Networks
    Haifeng Qian, Radu Marinescu, Alexander Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu
    http://arxiv.org/abs/2109.12240v1

    • [cs.AI]Path Based Hierarchical Clustering on Knowledge Graphs
    Marcin Pietrasik, Marek Reformat
    http://arxiv.org/abs/2109.13178v1

    • [cs.AI]RuleBert: Teaching Soft Rules to Pre-trained Language Models
    Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti
    http://arxiv.org/abs/2109.13006v1

    • [cs.CL]A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
    Zhichao Lin, Yueheng Sun, Meishan Zhang
    http://arxiv.org/abs/2109.12319v1

    • [cs.CL]An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
    Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey Priebe, Philipp Koehn
    http://arxiv.org/abs/2109.12640v1

    • [cs.CL]An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
    Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
    http://arxiv.org/abs/2109.13023v1

    • [cs.CL]An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog
    Xingyao Wang, David Jurgens
    http://arxiv.org/abs/2109.12212v1

    • [cs.CL]Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)
    Stanley Uros Keller
    http://arxiv.org/abs/2109.13123v1

    • [cs.CL]BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
    Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan
    http://arxiv.org/abs/2109.12533v1

    • [cs.CL]Challenges and Opportunities of Speech Recognition for Bengali Language
    M. F. Mridha, Abu Quwsar Ohi, Md. Abdul Hamid, Muhammad Mostafa Monowar
    http://arxiv.org/abs/2109.13217v1

    • [cs.CL]Challenging the Semi-Supervised VAE Framework for Text Classification
    Ghazi Felhi, Joseph Le Roux, Djamé Seddah
    http://arxiv.org/abs/2109.12969v1

    • [cs.CL]Classifying Dyads for Militarized Conflict Analysis
    Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab, Robert West, Ryan Cotterell
    http://arxiv.org/abs/2109.12860v1

    • [cs.CL]Context-guided Triple Matching for Multiple Choice Question Answering
    Xun Yao, Junlong Ma, Xinrong Hu, Junping Liu, Jie Yang, Wanqing Li
    http://arxiv.org/abs/2109.12996v1

    • [cs.CL]Controllable Neural Dialogue Summarization with Personal Named Entity Planning
    Zhengyuan Liu, Nancy F. Chen
    http://arxiv.org/abs/2109.13070v1

    • [cs.CL]Coreference Resolution for the Biomedical Domain: A Survey
    Pengcheng Lu, Massimo Poesio
    http://arxiv.org/abs/2109.12424v1

    • [cs.CL]Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation
    Mirza Yusuf, Praatibh Surana, Gauri Gupta, Krithika Ramesh
    http://arxiv.org/abs/2109.12584v1

    • [cs.CL]Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding
    Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim
    http://arxiv.org/abs/2109.12451v1

    • [cs.CL]DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
    Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si
    http://arxiv.org/abs/2109.12599v1

    • [cs.CL]Discovering Drug-Target Interaction Knowledge from Biomedical Literature
    Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu
    http://arxiv.org/abs/2109.13187v1

    • [cs.CL]Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution
    Laura Aina, Xixian Liao, Gemma Boleda, Matthijs Westera
    http://arxiv.org/abs/2109.13105v1

    • [cs.CL]DziriBERT: a Pre-trained Language Model for the Algerian Dialect
    Amine Abdaoui, Mohamed Berrimi, Mourad Oussalah, Abdelouahab Moussaoui
    http://arxiv.org/abs/2109.12346v1

    • [cs.CL]Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extraction
    Meisin Lee, Lay-Ki Soon, Eu-Gene Siew
    http://arxiv.org/abs/2109.12781v1

    • [cs.CL]Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt
    Arthur M. Jacobs, Annette Kinder
    http://arxiv.org/abs/2109.12500v1

    • [cs.CL]Enhancing Latent Space Clustering in Multi-filter Seq2Seq Model: A Reinforcement Learning Approach
    Yunhao Yang, Zhaokun Xue
    http://arxiv.org/abs/2109.12399v1

    • [cs.CL]Entity Linking Meets Deep Learning: Techniques and Solutions
    Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan
    http://arxiv.org/abs/2109.12520v1

    • [cs.CL]Every time I fire a conversational designer, the performance of the dialog system goes down
    Giancarlo A. Xompero, Michele Mastromattei, Samir Salman, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto
    http://arxiv.org/abs/2109.13029v1

    • [cs.CL]Extracting and Inferring Personal Attributes from Dialogue
    Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
    http://arxiv.org/abs/2109.12702v1

    • [cs.CL]FQuAD2.0: French Question Answering and knowing that you know nothing
    Quentin Heinrich, Gautier Viaud, Wacim Belblidia
    http://arxiv.org/abs/2109.13209v1

    • [cs.CL]Fake News Detection: Experiments and Approaches beyond Linguistic Features
    Shaily Bhatt, Sakshi Kalra, Naman Goenka, Yashvardhan Sharma
    http://arxiv.org/abs/2109.12914v1

    • [cs.CL]FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
    Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
    http://arxiv.org/abs/2109.12742v1

    • [cs.CL]Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
    Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani, Preslav Nakov, Anna Feldman
    http://arxiv.org/abs/2109.12986v1

    • [cs.CL]Finetuning Transformer Models to Build ASAG System
    Mithun Thakkar
    http://arxiv.org/abs/2109.12300v1

    • [cs.CL]Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
    Neema Kotonya, Thomas Spooner, Daniele Magazzeni, Francesca Toni
    http://arxiv.org/abs/2109.12349v1

    • [cs.CL]Improving Question Answering Performance Using Knowledge Distillation and Active Learning
    Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, Shahin Amiriparian
    http://arxiv.org/abs/2109.12662v1

    • [cs.CL]Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information
    Fengji Zhang, Jacky Keung, Xiao Yu, Zhiwen Xie, Zhen Yang, Caoyuan Ma, Zhimin Zhang
    http://arxiv.org/abs/2109.13073v1

    • [cs.CL]Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
    Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
    http://arxiv.org/abs/2109.12950v1

    • [cs.CL]Investigating Non-local Features for Neural Constituency Parsing
    Leyang Cui, Sen Yang, Yue Zhang
    http://arxiv.org/abs/2109.12814v1

    • [cs.CL]Jointly Learning to Repair Code and Generate Commit Message
    Jiaqi Bai, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou, Zhoujun Li
    http://arxiv.org/abs/2109.12296v1

    • [cs.CL]Knowledge-Aware Neural Networks for Medical Forum Question Classification
    Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly
    http://arxiv.org/abs/2109.13141v1

    • [cs.CL]Language Invariant Properties in Natural Language Processing
    Federico Bianchi, Debora Nozza, Dirk Hovy
    http://arxiv.org/abs/2109.13037v1

    • [cs.CL]Language Model Priming for Cross-Lingual Event Extraction
    Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee
    http://arxiv.org/abs/2109.12383v1

    • [cs.CL]Learning Neural Templates for Recommender Dialogue System
    Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang
    http://arxiv.org/abs/2109.12302v1

    • [cs.CL]Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
    Kaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu
    http://arxiv.org/abs/2109.12457v1

    • [cs.CL]MFAQ: a Multilingual FAQ Dataset
    Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans
    http://arxiv.org/abs/2109.12870v1

    • [cs.CL]MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
    Swapnil Parekh, Yaman Singla Kumar, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah
    http://arxiv.org/abs/2109.12406v1

    • [cs.CL]Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework
    Matan Halevy, Camille Harris, Amy Bruckman, Diyi Yang, Ayanna Howard
    http://arxiv.org/abs/2109.13137v1

    • [cs.CL]More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
    Yang Bai, Daisy Zhe Wang
    http://arxiv.org/abs/2109.12264v1

    • [cs.CL]Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
    Jan Wira Gotama Putra, Simone Teufel, Takenobu Tokunaga
    http://arxiv.org/abs/2109.13067v1

    • [cs.CL]MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
    Song Feng, Siva Sankalp Patel, Hui Wan, Sachindra Joshi
    http://arxiv.org/abs/2109.12595v1

    • [cs.CL]Multiplicative Position-aware Transformer Models for Language Understanding
    Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang
    http://arxiv.org/abs/2109.12788v1

    • [cs.CL]On the Prunability of Attention Heads in Multilingual BERT
    Aakriti Budhraja, Madhura Pande, Pratyush Kumar, Mitesh M. Khapra
    http://arxiv.org/abs/2109.12683v1

    • [cs.CL]OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts
    Shuhe Wang, Yuxian Meng, Xiaoya Li, Xiaofei Sun, Rongbin Ouyang, Jiwei Li
    http://arxiv.org/abs/2109.12761v1

    • [cs.CL]Overview of the CLEF—2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
    Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mucahid Kutlu, Yavuz Selim Kartal
    http://arxiv.org/abs/2109.12987v1

    • [cs.CL]Paradigm Shift in Natural Language Processing
    Tianxiang Sun, Xiangyang Liu, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2109.12575v1

    • [cs.CL]Parallel Refinements for Lexically Constrained Text Generation with BART
    Xingwei He
    http://arxiv.org/abs/2109.12487v1

    • [cs.CL]Patterns of Lexical Ambiguity in Contextualised Language Models
    Janosch HaberandMassimo Poesio
    http://arxiv.org/abs/2109.13032v1

    • [cs.CL]PicTalky: Augmentative and Alternative Communication Software for Language Developmental Disabilities
    Chanjun Park, Yoonna Jang, Seolhwa Lee, Jaehyung Seo, Kisu Yang, Heuiseok Lim
    http://arxiv.org/abs/2109.12941v1

    • [cs.CL]Pragmatic competence of pre-trained language models through the lens of discourse connectives
    Lalchand Pandia, Yan Cong, Allyson Ettinger
    http://arxiv.org/abs/2109.12951v1

    • [cs.CL]Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
    Bruce W. Lee, Yoo Sung Jang, Jason Hyung-Jong Lee
    http://arxiv.org/abs/2109.12258v1

    • [cs.CL]QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
    Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan
    http://arxiv.org/abs/2109.12655v1

    • [cs.CL]Recall and Learn: A Memory-augmented Solver for Math Word Problems
    Shifeng Huang, Jiawei Wang, Jiao Xu, Da Cao, Ming Yang
    http://arxiv.org/abs/2109.13112v1

    • [cs.CL]Rumour Detection via Zero-shot Cross-lingual Transfer Learning
    Lin Tian, Xiuzhen Zhang, Jey Han Lau
    http://arxiv.org/abs/2109.12773v1

    • [cs.CL]Small data problems in political research: a critical replication study
    Hugo de Vos, Suzan Verberne
    http://arxiv.org/abs/2109.12911v1

    • [cs.CL]Sorting through the noise: Testing robustness of information processing in pre-trained language models
    Lalchand Pandia, Allyson Ettinger
    http://arxiv.org/abs/2109.12393v1

    • [cs.CL]Style Control for Schema-Guided Natural Language Generation
    Alicia Y. Tsai, Shereen Oraby, Vittorio Perera, Jiun-Yu Kao, Yuheng Du, Anjali Narayan-Chen, Tagyoung Chung, Dilek Hakkani-Tur
    http://arxiv.org/abs/2109.12211v1

    • [cs.CL]Systematic Generalization on gSCAN: What is Nearly Solved and What is Next?
    Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha
    http://arxiv.org/abs/2109.12243v1

    • [cs.CL]Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning
    Xintong Zhao, Steven Lopez, Semion Saikin, Xiaohua Hu, Jane Greenberg
    http://arxiv.org/abs/2109.12758v1

    • [cs.CL]The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
    Nan Zhao, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/2109.12913v1

    • [cs.CL]Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer
    Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
    http://arxiv.org/abs/2109.13097v1

    • [cs.CL]Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
    Fangyu Liu, Serhii Havrylov, Yunlong Jiao, Jordan Massiah, Emine Yilmaz
    http://arxiv.org/abs/2109.13059v1

    • [cs.CL]Using Pause Information for More Accurate Entity Recognition
    Sahas Dendukuri, Pooja Chitkara, Joel Ruben Antony Moniz, Xiao Yang, Manos Tsagkias, Stephen Pulman
    http://arxiv.org/abs/2109.13222v1

    • [cs.CL]Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
    An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
    http://arxiv.org/abs/2109.12242v1

    • [cs.CL]XLM-K: Improving Cross-Lingual Language Model Pre-Training with Multilingual Knowledge
    Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan
    http://arxiv.org/abs/2109.12573v1

    • [cs.CR]Universal Payment Channels: An Interoperability Platform for Digital Currencies
    Mihai Christodorescu, Erin English, Wanyun Catherine Gu, David Kreissman, Ranjit Kumaresan, Mohsen Minaei, Srinivasan Raghuraman, Cuy Sheffield, Arjuna Wijeyekoon, Mahdi Zamani
    http://arxiv.org/abs/2109.12194v1

    • [cs.CV]A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization
    Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao
    http://arxiv.org/abs/2109.12380v1

    • [cs.CV]A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection
    Zhanchao Huang, Wei Li, Xiang-Gen Xia, Ran Tao
    http://arxiv.org/abs/2109.12848v1

    • [cs.CV]A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval
    Zan Gao, Yuxiang Shao, Weili Guan, Meng Liu, Zhiyong Cheng, Shengyong Chen
    http://arxiv.org/abs/2109.12299v1

    • [cs.CV]A Simple Self-calibration Method for The Internal Time Synchronization of MEMS LiDAR
    Yu Zhang, Xiaoguang Di, Shiyu Yan, Bin Zhang, Baoling Qi, Chunhui Wang
    http://arxiv.org/abs/2109.12506v1

    • [cs.CV]A Video Summarization Method Using Temporal Interest Detection and Key Frame Prediction
    Yubo An, Shenghui Zhao
    http://arxiv.org/abs/2109.12581v1

    • [cs.CV]A novel network training approach for open set image recognition
    Md Tahmid Hossaina, Shyh Wei Teng, Guojun Lu, Ferdous Sohel
    http://arxiv.org/abs/2109.12756v1

    • [cs.CV]An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images
    Tanjida Kabir, Chun-Teh Lee, Jiman Nelson, Sally Sheng, Hsiu-Wan Meng, Luyao Chen, Muhammad F Walji, Xioaqian Jiang, Shayan Shams
    http://arxiv.org/abs/2109.13120v1

    • [cs.CV]An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
    Bhanuka Manesha Samarasekara Vitharana Gamage
    http://arxiv.org/abs/2109.12261v1

    • [cs.CV]Attention Gate in Traffic Forecasting
    Anh Lam, Anh Nguyen, Bac Le
    http://arxiv.org/abs/2109.13021v1

    • [cs.CV]Automated Multi-Process CTC Detection using Deep Learning
    Elena Ivanova, Kam W. Leong, Andrew F. Laine
    http://arxiv.org/abs/2109.12709v1

    • [cs.CV]Automatic Map Update Using Dashcam Videos
    Aziza Zhanabatyrova, Clayton Souza Leite, Yu Xiao
    http://arxiv.org/abs/2109.12131v1

    • [cs.CV]Bayesian deep learning of affordances from RGB images
    Lorenzo Mur-Labadia, Ruben Martinez-Cantin
    http://arxiv.org/abs/2109.12845v1

    • [cs.CV]Comparison of Object Detection Algorithms Using Video and Thermal Images Collected from a UAS Platform: An Application of Drones in Traffic Management
    Hualong Tang, Joseph Post, Achilleas Kourtellis, Brian Porter, Yu Zhang
    http://arxiv.org/abs/2109.13185v1

    • [cs.CV]Contrastive Learning for Mitochondria Segmentation
    Zhili Li, Xuejin Chen, Jie Zhao, Zhiwei Xiong
    http://arxiv.org/abs/2109.12363v1

    • [cs.CV]Contrastive Unpaired Translation using Focal Loss for Patch Classification
    Bernard Spiegl
    http://arxiv.org/abs/2109.12431v1

    • [cs.CV]DAMix: Density-Aware Data Augmentation for Unsupervised Domain Adaptation on Single Image Dehazing
    Chia-Ming Chang, Chang-Sung Sung, Tsung-Nan Lin
    http://arxiv.org/abs/2109.12544v1

    • [cs.CV]Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels
    Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou
    http://arxiv.org/abs/2109.12265v1

    • [cs.CV]Deep Structured Instance Graph for Distilling Object Detectors
    Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia
    http://arxiv.org/abs/2109.12862v1

    • [cs.CV]Disentangled Feature Representation for Few-shot Image Classification
    Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, Bihan Wen
    http://arxiv.org/abs/2109.12548v1

    • [cs.CV]Distribution-sensitive Information Retention for Accurate Binary Neural Network
    Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, XianglongLiu
    http://arxiv.org/abs/2109.12338v1

    • [cs.CV]Effect Of Personalized Calibration On Gaze Estimation Using Deep-Learning
    Nairit Bandyopadhyay, Sébastien Riou, Didier Schwab
    http://arxiv.org/abs/2109.12801v1

    • [cs.CV]Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
    Rui Peng, Ronggang Wang, Yawen Lai, Luyang Tang, Yangang Cai
    http://arxiv.org/abs/2109.12484v1

    • [cs.CV]Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
    Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
    http://arxiv.org/abs/2109.13027v1

    • [cs.CV]Frequency Disentangled Residual Network
    Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey, Rakesh Sanodiya, Wei-Ta Chu
    http://arxiv.org/abs/2109.12556v1

    • [cs.CV]Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
    Michael Duhme, Raphael Memmesheimer, Dietrich Paulus
    http://arxiv.org/abs/2109.12946v1

    • [cs.CV]GANiry: Bald-to-Hairy Translation Using CycleGAN
    Fidan Samet, Oguz Bakir
    http://arxiv.org/abs/2109.13126v1

    • [cs.CV]Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
    Zheng Hu, Chuang Zhu, Gang He
    http://arxiv.org/abs/2109.12333v1

    • [cs.CV]Harrisz+: Harris Corner Selection for Next-Gen Image Matching Pipelines
    Fabio Bellavia, Dmytro Mishkin
    http://arxiv.org/abs/2109.12925v1

    • [cs.CV]How much “human-like” visual experience do current self-supervised learning algorithms need to achieve human-level object recognition?
    A. Emin Orhan
    http://arxiv.org/abs/2109.11523v2

    • [cs.CV]ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
    Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai
    http://arxiv.org/abs/2109.12492v1

    • [cs.CV]Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series
    Jeremy Diaz, Guido Cervone, Christelle Wauthier
    http://arxiv.org/abs/2109.12767v1

    • [cs.CV]Joint Multimedia Event Extraction from Video and Article
    Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang
    http://arxiv.org/abs/2109.12776v1

    • [cs.CV]Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation
    Jun Wu, Lilu Liu, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2109.12266v1

    • [cs.CV]Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
    Aram Ter-Sarkisov, Eduardo Alonso
    http://arxiv.org/abs/2109.12628v1

    • [cs.CV]Long-Range Feature Propagating for Natural Image Matting
    Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji
    http://arxiv.org/abs/2109.12252v1

    • [cs.CV]MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling
    Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Train, Trishul Chilimbi, Belinda Zeng, Ismail Tutar
    http://arxiv.org/abs/2109.12178v1

    • [cs.CV]Machine Learning based Medical Image Deepfake Detection: A Comparative Study
    Siddharth Solaiyappan, Yuxin Wen
    http://arxiv.org/abs/2109.12800v1

    • [cs.CV]Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
    Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao
    http://arxiv.org/abs/2109.12872v1

    • [cs.CV]Multi-Modal Multi-Instance Learning for Retinal Disease Recognition
    Xirong Li, Yang Zhou, Jie Wang, Hailan Lin, Jianchun Zhao, Dayong Ding, Weihong Yu, Youxin Chen
    http://arxiv.org/abs/2109.12307v1

    • [cs.CV]Multi-source Few-shot Domain Adaptation
    Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto Sangiovanni Vincentelli
    http://arxiv.org/abs/2109.12391v1

    • [cs.CV]Multimodal Integration of Human-Like Attention in Visual Question Answering
    Ekta Sood, Fabian Kögel, Philipp Müller, Dominike Thomas, Mihai Bace, Andreas Bulling
    http://arxiv.org/abs/2109.13139v1

    • [cs.CV]N-shot Palm Vein Verification Using Siamese Networks
    Felix Marattukalam, Waleed H. Abdulla, Akshya Swain
    http://arxiv.org/abs/2109.12808v1

    • [cs.CV]Nesterov Accelerated ADM
    b2c
    M for Fast Diffeomorphic Image Registration
    Alexander Thorley, Xi Jia, Hyung Jin Chang, Boyang Liu, Karina Bunting, Victoria Stoll, Antonio de Marvao, Declan P. O’Regan, Georgios Gkoutos, Dipak Kotecha, Jinming Duan
    http://arxiv.org/abs/2109.12688v1

    • [cs.CV]PASS: An ImageNet replacement for self-supervised pretraining without humans
    Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi
    http://arxiv.org/abs/2109.13228v1

    • [cs.CV]PETA: Photo Albums Event Recognition using Transformers Attention
    Tamar Glaser, Emanuel Ben-Baruch, Gilad Sharir, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor
    http://arxiv.org/abs/2109.12499v1

    • [cs.CV]Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better
    Xuanyang Zhang, Xiangyu Zhang, Jian Sun
    http://arxiv.org/abs/2109.12507v1

    • [cs.CV]Predicting Driver Self-Reported Stress by Analyzing the Road Scene
    Cristina Bustos, Neska Elhaouij, Albert Sole-Ribalta, Javier Borge-Holthoefer, Agata Lapedriza, Rosalind Picard
    http://arxiv.org/abs/2109.13225v1

    • [cs.CV]Research on facial expression recognition based on Multimodal data fusion and neural network
    Yi Han, Xubin Wang, Zhengyu Lu
    http://arxiv.org/abs/2109.12724v1

    • [cs.CV]Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
    Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
    http://arxiv.org/abs/2109.12502v1

    • [cs.CV]Self-Supervised Video Representation Learning by Video Incoherence Detection
    Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See
    http://arxiv.org/abs/2109.12493v1

    • [cs.CV]Semi-Supervised Adversarial Discriminative Domain Adaptation
    Thai-Vu Nguyen, Anh Nguyen, Bac Le
    http://arxiv.org/abs/2109.13016v1

    • [cs.CV]Sparse Spatial Transformers for Few-Shot Learning
    Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen
    http://arxiv.org/abs/2109.12932v1

    • [cs.CV]Structure-Preserving Image Super-Resolution
    Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2109.12530v1

    • [cs.CV]TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
    Ji Lin, Chuang Gan, Kuan Wang, Song Han
    http://arxiv.org/abs/2109.13227v1

    • [cs.CV]Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
    Hongbing Zhang, Xinyi Liu, Hongtao Fan, Yajing Li, Yinlin Ye
    http://arxiv.org/abs/2109.12257v1

    • [cs.CV]Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
    Shizhou Zhang, Duo Long, Yitao Gao, Liying Gao, Qian Zhang, Kai Niu, Yanning Zhang
    http://arxiv.org/abs/2109.12965v1

    • [cs.CV]TreeNet: A lightweight One-Shot Aggregation Convolutional Network
    Lu Rao, Qinglong Zhang, Yubin Yang
    http://arxiv.org/abs/2109.12342v1

    • [cs.CV]Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
    Sohaib Kiani, Sana Awan, Chao Lan, Fengjun Li, Bo Luo
    http://arxiv.org/abs/2109.12459v1

    • [cs.CV]Using Soft Labels to Model Uncertainty in Medical Image Segmentation
    João Lourenço Silva, Arlindo L. Oliveira
    http://arxiv.org/abs/2109.12622v1

    • [cs.CV]VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
    Ekta Sood, Fabian Kögel, Florian Strohm, Prajit Dhar, Andreas Bulling
    http://arxiv.org/abs/2109.13116v1

    • [cs.CV]Vehicle Detection and Tracking From Surveillance Cameras in Urban Scenes
    Oumayma Messoussi, Felipe Gohring de Magalhaes, Francois Lamarre, Francis Perreault, Ibrahima Sogoba, Guillaume-Alexandre Bilodeau, Gabriela Nicolescu
    http://arxiv.org/abs/2109.12414v1

    • [cs.CV]Vision Transformer Hashing for Image Retrieval
    Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu
    http://arxiv.org/abs/2109.12564v1

    • [cs.CV]Visual Anomaly Detection for Images: A Survey
    Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
    http://arxiv.org/abs/2109.13157v1

    • [cs.CV]Wasserstein Patch Prior for Image Superresolution
    Johannes Hertrich, Antoine Houdard, Claudia Redenbach
    http://arxiv.org/abs/2109.12880v1

    • [cs.CY]How does fake news spread? Understanding pathways of disinformation spread through APIs
    Lynnette H. X. Ng, Araz Taeihagh
    http://arxiv.org/abs/2109.12865v1

    • [cs.CY]Personal information self-management: A survey of technologies supporting administrative services
    Paul Marillonnet, Maryline Laurent, Mikaël Ates
    http://arxiv.org/abs/2109.12968v1

    • [cs.CY]Sustainable Urban Mobility in the Post-Pandemic Era (position paper)
    Christos Theodoridis, Yannis Theodoridis
    http://arxiv.org/abs/2109.12982v1

    • [cs.CY]The Forgotten Preconditions for a Well-Functioning Internet
    Geoff Goodell
    http://arxiv.org/abs/2109.12955v1

    • [cs.CY]Using Comics to Introduce and Reinforce Programming Concepts in CS1
    Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, Edith Law
    http://arxiv.org/abs/2109.13197v1

    • [cs.CY]Weather of the Dorm WIFI Ecosystem at the University of Colorado Boulder for Fall Semester 2019 to Spring Semester 2020 a Case Study of WIFI and a Campus Response to the COVID-19 Perturbation
    Jake Mcgrath, Armen Davis, James Curry, Orrie Gartner, Glenn Rodrigues, Seth Spielman, Daniel Massey
    http://arxiv.org/abs/2109.12143v1

    • [cs.DC]A Doubly-pipelined, Dual-root Reduction-to-all Algorithm and Implementation
    Jesper Larsson Träff
    http://arxiv.org/abs/2109.12626v1

    • [cs.DC]A communication efficient distributed learning framework for smart environments
    Lorenzo Valerio, Andrea Passarella, Marco Conti
    http://arxiv.org/abs/2109.13049v1

    • [cs.DC]Aristotle Cloud Federation: Container Runtimes Technical Report
    Peter Z. Vaillancourt, Bennett Wineholt, Tristan J. Shepherd, Sara C. Pryor, Jeffrey Lantz, Richard Knepper, Rich Wolski, Christopher R. Myers, Ben Trumbore, Resa Reynolds, Jodie Sprouse, David Lifka
    http://arxiv.org/abs/2109.12186v1

    • [cs.DC]Asynchronous Gathering Algorithms for Autonomous Mobile Robots with Lights
    R. Nakai, Y. Sudo, K. Wada
    http://arxiv.org/abs/2109.12289v1

    • [cs.DC]Basil: Breaking up BFT with ACID (transactions)
    Florian Suri-Payer, Matthew Burke, Zheng Wang, Yunhao Zhang, Lorenzo Alvisi, Natacha Crooks
    http://arxiv.org/abs/2109.12443v1

    • [cs.DC]BigBFT: A Multileader Byzantine Fault Tolerance Protocol for High Throughput
    Salem Alqahtani, Murat Demirbas
    http://arxiv.org/abs/2109.12664v1

    • [cs.DC]Communication-Efficient Distributed Linear and Deep Generalized Canonical Correlation Analysis
    Sagar Shrestha, Xiao Fu
    http://arxiv.org/abs/2109.12400v1

    • [cs.DC]Distributed Computing With the Cloud
    Yehuda Afek, Gal Giladi, Boaz Patt-Shamir
    http://arxiv.org/abs/2109.12930v1

    • [cs.DC]Extending Lattice linearity for Self-Stabilizing Algorithms
    Arya T Gupta, Sandeep S Kulkarni
    http://arxiv.org/abs/2109.13216v1

    • [cs.DC]Good-case and Bad-case Latency of Unauthenticated Byzantine Broadcast: A Complete Categorization
    Ittai Abraham, Ling Ren, Zhuolun Xiang
    http://arxiv.org/abs/2109.12454v1

    • [cs.DC]Invited Paper: Failure is (literally) an Option: Atomic Commitment vs Optionality in Decentralized Finance
    Daniel Engel, Maurice Herlihy, Yingjie Xue
    http://arxiv.org/abs/2109.12167v1

    • [cs.DC]LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
    Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
    http://arxiv.org/abs/2109.13009v1

    • [cs.DC]Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics
    Natascha Harth, Hans-Joerg Voegel, Kostas Kolomvatsos, Christos Anagnostopoulos
    http://arxiv.org/abs/2109.12375v1

    • [cs.DC]Message Delivery in the Plane by Robots with Different Speeds
    Jared Coleman, Evangelos Kranakis, Danny Krizanc, Oscar Morales-Ponce
    http://arxiv.org/abs/2109.12185v1

    • [cs.DC]NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs
    Xiandong Huang, Qinglin Wang, Shuyu Lu, Ruochen Hao, Songzhu Mei, Jie Liu
    http://arxiv.org/abs/2109.12259v1

    • [cs.DC]On the Fairness of Swarm Learning in Skin Lesion Classification
    Di Fan, Yifan Wu, Xiaoxiao Li
    http://arxiv.org/abs/2109.12176v1

    • [cs.DC]Rabia: Simplifying State-Machine Replication Through Randomization
    Haochen Pan, Jesse Tuglu, Neo Zhou, Tianshu Wang, Yicheng Shen, Xiong Zheng, Joseph Tassarotti, Lewis Tseng, Roberto Palmieri
    http://arxiv.org/abs/2109.12616v1

    • [cs.DC]Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
    Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
    http://arxiv.org/abs/2109.12855v1

    • [cs.DL]Expressing High-Level Scientific Claims with Formal Semantics
    Cristina-Iulia Bucur, Tobias Kuhn, Davide Ceolin, Jacco van Ossenbruggen
    http://arxiv.org/abs/2109.12907v1

    • [cs.DL]The Colombian Scientific Elite — Science Mapping and Bibliometric Outlook
    Julian D. Cortes, Daniel A. Andrade
    http://arxiv.org/abs/2109.12719v1

    • [cs.GR]Mixed Integer Neural Inverse Design
    Navid Ansari, Hans-Peter Seidel, Vahid Babaei
    http://arxiv.org/abs/2109.12888v1

    • [cs.GT]Algorithmic Information Design in Multi-Player Games: Possibility and Limits in Singleton Congestion
    Chenghan Zhou, Thanh H. Nguyen, Haifeng Xu
    http://arxiv.org/abs/2109.12445v1

    • [cs.GT]Equilibria and learning dynamics in mixed network coordination/anti-coordination games
    Laura Arditti, Giacomo Como, Fabio Fagnani, Martina Vanelli
    http://arxiv.org/abs/2109.12692v1

    • [cs.GT]Robust Coordination in Networks
    Laura Arditti, Giacomo Como, Fabio Fagnani, Martina Vanelli
    http://arxiv.org/abs/2109.12685v1

    • [cs.HC]A Study of Fake News Reading and Annotating in Social Media Context
    Jakub Simko, Patrik Racsko, Matus Tomlein, Martin Hanakova, Maria Bielikova
    http://arxiv.org/abs/2109.12523v1

    • [cs.HC]Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
    Upol Ehsan, Mark O. Riedl
    http://arxiv.org/abs/2109.12480v1

    • [cs.IR]Deep Exploration for Recommendation Systems
    Zheqing Zhu, Benjamin Van Roy
    http://arxiv.org/abs/2109.12509v1

    • [cs.IR]DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction
    Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng
    http://arxiv.org/abs/2109.12512v1

    • [cs.IR]Dynamic Sequential Graph Learning for Click-Through Rate Prediction
    Yunfei Chu, Xiaofu Chang, Kunyang Jia, Jingzhen Zhou, Hongxia Yang
    http://arxiv.org/abs/2109.12541v1

    • [cs.IR]Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
    Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
    http://arxiv.org/abs/2109.12843v1

    • [cs.IR]ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation
    Yule Wang, Xin Xin, Yue Ding, Dong Wang
    http://arxiv.org/abs/2109.12887v1

    • [cs.IR]MC今日学术视野(2021.9.29) - 图4-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation
    Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang
    http://arxiv.org/abs/2109.12314v1

    • [cs.IR]Review of Clustering-Based Recommender Systems
    Irina Beregovskaya, Mikhail Koroteev
    http://arxiv.org/abs/2109.12839v1

    • [cs.IR]SimpleX: A Simple and Strong Baseline for Collaborative Filtering
    Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He
    http://arxiv.org/abs/2109.12613v1

    • [cs.IR]Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts
    Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima, Rasmus Arpe Fogh Egebæk, Martin Carsten Nielsen, Benjamin Biering, Lars Kai Hansen
    http://arxiv.org/abs/2109.12306v1

    • [cs.IR]Why Do We Click: Visual Impression-aware News Recommendation
    Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu
    http://arxiv.org/abs/2109.12651v1

    • [cs.IT]A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
    Qian Wan, Jun Fang, Yinsen Huang, Huiping Duan, Hongbin Li
    http://arxiv.org/abs/2109.12275v1

    • [cs.IT]Blind Interference Alignment in 6G Optical Wireless Communications
    Ahmad Adnan Qidan, Taisir El-Gorashi, Jaafar M. H. Elmirghani
    http://arxiv.org/abs/2109.12433v1

    • [cs.IT]Channel Customization for Joint Tx-RISs-Rx Design in Hybrid mmWave systems
    Weicong Chen, Chao-Kai Wen, Xiao Li, Shi Jin
    http://arxiv.org/abs/2109.13058v1

    • [cs.IT]Deformed logarithms. Associated entropic divergences. Applications to linear inverse problems. Inversion algorithms
    Henri Lantéri
    http://arxiv.org/abs/2109.12895v1

    • [cs.IT]Dynamic Risk Assessment for Geologic CO2 Sequestration
    Bailian Chen, Dylan R. Harp, Yingqi Zhang, Curtis M. Oldenburg, Rajesh J. Pawar
    http://arxiv.org/abs/2109.12703v1

    • [cs.IT]Fast Successive-Cancellation List Flip Decoding of Polar Codes
    Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross
    http://arxiv.org/abs/2109.12239v1

    • [cs.IT]High-Rate Uninterrupted Internet-of-Vehicle Communications in Highways: Dynamic Blockage Avoidance and CSIT Acquisition
    Hao Guo, Behrooz Makki, Mohamed-Slim Alouini, Tommy Svensson
    http://arxiv.org/abs/2109.12878v1

    • [cs.IT]Investigations on Automorphism Groups of Quantum Stabilizer Codes
    Hanson Hao
    http://arxiv.org/abs/2109.12735v1

    • [cs.IT]List-GRAND: A practical way to achieve Maximum Likelihood Decoding
    Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
    http://arxiv.org/abs/2109.12225v1

    • [cs.IT]Optimizing Age-of-Information in Adversarial Environments with Channel State Information
    Avijit Mandal, Rajarshi Bhattacharjee, Abhishek Sinha
    http://arxiv.org/abs/2109.12353v1

    • [cs.IT]Performance Analyses of TAS/Alamouti-MRC NOMA in Dual-Hop Full-Duplex AF Relaying Networks
    Mesut Toka, Eray Guven, Mehmet Akif Durmaz, Gunes Karabulut Kurt, Oguz Kucur
    http://arxiv.org/abs/2109.12326v1

    • [cs.IT]Replica Analysis for Generalized Linear Regression with IID Row Prior
    Qiuyun Zou, Hongwen Yang
    http://arxiv.org/abs/2109.12357v1

    • [cs.IT]The DNA Storage Channel: Capacity and Error Probability
    Nir Weinberger, Neri Merhav
    http://arxiv.org/abs/2109.12549v1

    • [cs.LG]A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
    Thomas Henn, Yasukazu Sakamoto, Clément Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno
    http://arxiv.org/abs/2109.12347v1

    • [cs.LG]AI Explainability 360: Impact and Design
    Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
    http://arxiv.org/abs/2109.12151v1

    • [cs.LG]An IIoT machine model for achieving consistency in product quality in manufacturing plants
    Abhik Banerjee, Abdur Rahim Mohammad Forkan, Dimitrios Georgakopoulos, Josip Karabotic Milovac, Prem Prakash Jayaraman
    http://arxiv.org/abs/2109.12964v1

    • [cs.LG]Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data
    Xuyan Tan, Yuhang Wang, Bowen Du, Junchen Ye, Weizhong Chen, Leilei Sun, Liping Li
    http://arxiv.org/abs/2109.13167v1

    • [cs.LG]AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
    Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
    http://arxiv.org/abs/2109.12519v1

    • [cs.LG]Auditing AI models for Verified Deployment under Semantic Specifications
    Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg
    http://arxiv.org/abs/2109.12456v1

    • [cs.LG]Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders
    Lisa Bonheme, Marek Grzes
    http://arxiv.org/abs/2109.12679v1

    • [cs.LG]Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
    Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang
    http://arxiv.org/abs/2109.12276v1

    • [cs.LG]Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
    Adhyyan Narang, Vidya Muthukumar, Anant Sahai
    http://arxiv.org/abs/2109.13215v1

    • [cs.LG]ClipMatrix: Text-controlled Creation of 3D Textured Meshes
    Nikolay Jetchev
    http://arxiv.org/abs/2109.12922v1

    • [cs.LG]Cluster Analysis with Deep Embeddings and Contrastive Learning
    Ramakrishnan Sundareswaran, Jansel Herrera-Gerena, John Just, Ali Janessari
    http://arxiv.org/abs/2109.12714v1

    • [cs.LG]Compressive Visual Representations
    Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer
    http://arxiv.org/abs/2109.12909v1

    • [cs.LG]Consistency Training of Multi-exit Architectures for Sensor Data
    Aaqib Saeed
    http://arxiv.org/abs/2109.13192v1

    • [cs.LG]Curvature Injected Adaptive Momentum Optimizer for Convolutional Neural Networks
    Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri
    http://arxiv.org/abs/2109.12504v1

    • [cs.LG]DAReN: A Collaborative Approach Towards Reasoning And Disentangling
    Pritish Sahu, Vladimir Pavlovic
    http://arxiv.org/abs/2109.13156v1

    • [cs.LG]Data Summarization via Bilevel Optimization
    Zalán Borsos, Mojmír Mutný, Marco Tagliasacchi, Andreas Krause
    http://arxiv.org/abs/2109.12534v1

    • [cs.LG]Deep Learning Based Resource Assignment for Wireless Networks
    Minseok Kim, Hoon Lee, Hongju Lee, Inkyu Lee
    http://arxiv.org/abs/2109.12970v1

    • [cs.LG]Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
    Gregory B. Rehm, Chao Wang, Irene Cortes-Puch, Chen-Nee Chuah, Jason Adams
    http://arxiv.org/abs/2109.12323v1

    • [cs.LG]Distributionally Robust Multi-Output Regression Ranking
    Shahabeddin Sotudian, Ruidi Chen, Ioannis Paschalidis
    http://arxiv.org/abs/2109.12803v1

    • [cs.LG]Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
    Ahmed El-Gazzar, Rajat Mani Thomas, Guido van Wingen
    http://arxiv.org/abs/2109.12517v1

    • [cs.LG]Efficient Non-linear Calculators
    Adedamola Wuraola, Nitish Patel
    http://arxiv.org/abs/2109.12686v1

    • [cs.LG]Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration
    Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang
    http://arxiv.org/abs/2109.13005v1

    • [cs.LG]FedProc: Prototypical Contrastive Federated Learning on Non-IID data
    Xutong Mu, Yulong Shen, Ke Cheng, Xueli Geng, Jiaxuan Fu, Tao Zhang, Zhiwei Zhang
    http://arxiv.org/abs/2109.12273v1

    • [cs.LG]Federated Deep Learning with Bayesian Privacy
    Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
    http://arxiv.org/abs/2109.13012v1

    • [cs.LG]Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
    Sungho Suh, Paul Lukowicz, Yong Oh Lee
    http://arxiv.org/abs/2109.12513v1

    • [cs.LG]Graph Encoder Embedding
    Cencheng Shen, Qizhe Wang, Carey E. Priebe
    http://arxiv.org/abs/2109.13098v1

    • [cs.LG]Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving
    Zihao Sheng, Yunwen Xu, Shibei Xue, Dewei Li
    http://arxiv.org/abs/2109.12764v1

    • [cs.LG]HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
    Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi
    http://arxiv.org/abs/2109.12846v1

    • [cs.LG]Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark
    Yaobin Ling, Pulakesh Upadhyaya, Luyao Chen, Xiaoqian Jiang, Yejin Kim
    http://arxiv.org/abs/2109.12769v1

    • [cs.LG]Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
    Kanil Patel, William Beluch, Kilian Rambach, Michael Pfeiffer, Bin Yang
    http://arxiv.org/abs/2109.12851v1

    • [cs.LG]Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
    Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Jason A. Platt, Hsin-Yi Lin, Michael Goodliff, Henry D. I. Abarbanel
    http://arxiv.org/abs/2109.12269v1

    • [cs.LG]Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data
    Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
    http://arxiv.org/abs/2109.12421v1

    • [cs.LG]L今日学术视野(2021.9.29) - 图5NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning
    Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
    http://arxiv.org/abs/2109.12425v1

    • [cs.LG]LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
    Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan
    http://arxiv.org/abs/2109.12508v1

    • [cs.LG]Learning Multimodal Rewards from Rankings
    Vivek Myers, Erdem Bıyık, Nima Anari, Dorsa Sadigh
    http://arxiv.org/abs/2109.12750v1

    • [cs.LG]Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
    Tao Liu, P. R. Kumar, Xi Liu
    http://arxiv.org/abs/2109.12784v1

    • [cs.LG]Long-Range Transformers for Dynamic Spatiotemporal Forecasting
    Jake Grigsby, Zhe Wang, Yanjun Qi
    http://arxiv.org/abs/2109.12218v1

    • [cs.LG]ML4ML: Automated Invariance Testing for Machine Learning Models
    Zukang Liao, Pengfei Zhang, Min Chen
    http://arxiv.org/abs/2109.12926v1

    • [cs.LG]MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles
    Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon
    http://arxiv.org/abs/2109.12838v1

    • [cs.LG]MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
    Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou
    http://arxiv.org/abs/2109.12674v1

    • [cs.LG]MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
    Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel
    http://arxiv.org/abs/2109.13202v1

    • [cs.LG]MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
    Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud
    http://arxiv.org/abs/2109.12550v1

    • [cs.LG]Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients
    Peter Yichen Chen, Maurizio Chiaramonte, Eitan Grinspun, Kevin Carlberg
    http://arxiv.org/abs/2109.12390v1

    • [cs.LG]NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming
    Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan
    http://arxiv.org/abs/2109.12171v1

    • [cs.LG]NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU
    Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin, Victoria Rege, Errol Colak, Kristen W. Yeom
    http://arxiv.org/abs/2109.12191v1

    • [cs.LG]Opacus: User-Friendly Differential Privacy Library in PyTorch
    Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Gosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov
    http://arxiv.org/abs/2109.12298v1

    • [cs.LG]Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
    Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen
    http://arxiv.org/abs/2109.12482v1

    • [cs.LG]Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving
    Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv
    http://arxiv.org/abs/2109.12516v1

    • [cs.LG]Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search
    Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
    http://arxiv.org/abs/2109.12426v1

    • [cs.LG]Quantization for Distributed Optimization
    Vineeth S
    http://arxiv.org/abs/2109.12497v1

    • [cs.LG]Query-based Adversarial Attacks on Graph with Fake Nodes
    Zhengyi Wang, Zhongkai Hao, Hang Su, Jun Zhu
    http://arxiv.org/abs/2109.13069v1

    • [cs.LG]Random Walk-steered Majority Undersampling
    Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
    http://arxiv.org/abs/2109.12423v1

    • [cs.LG]ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs
    Hoang Viet Trinh, Tung Tien Bui, Tam Minh Nguyen, Huy Quang Dao, Quang Huu Pham, Ngoc N. Tran, Ta Minh Thanh
    http://arxiv.org/abs/2109.12777v1

    • [cs.LG]SAU: Smooth activation function using convolution with approximate identities
    Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
    http://arxiv.org/abs/2109.13210v1

    • [cs.LG]Searching for Minimal Optimal Neural Networks
    Lam Si Tung Ho, Vu Dinh
    http://arxiv.org/abs/2109.13061v1

    • [cs.LG]Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network
    Elahe Khoshbakhti Vaygan, Roozbeh Rajabi, Abouzar Estebsari
    http://arxiv.org/abs/2109.12498v1

    • [cs.LG]Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization
    Erik Schultheis, Rohit Babbar
    http://arxiv.org/abs/2109.13122v1

    • [cs.LG]Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
    Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff
    http://arxiv.org/abs/2109.12286v1

    • [cs.LG]Synthetic Data Generation for Fraud Detection using GANs
    Charitos Charitou, Simo Dragicevic, Artur d’Avila Garcez
    http://arxiv.org/abs/2109.12546v1

    • [cs.LG]TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
    Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, S. Farokh Atashzar, Arash Mohammadi
    http://arxiv.org/abs/2109.12379v1

    • [cs.LG]Time Series Model Attribution Visualizations as Explanations
    Udo Schlegel, Daniel A. Keim
    http://arxiv.org/abs/2109.12935v1

    • [cs.LG]Training on Test Data with Bayesian Adaptation for Covariate Shift
    Aurick Zhou, Sergey Levine
    http://arxiv.org/abs/2109.12746v1

    • [cs.LG]Understanding and Overcoming the Challenges of Efficient Transformer Quantization
    Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort
    http://arxiv.org/abs/2109.12948v1

    • [cs.LG]Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
    Lionel Cheng, Ekhi Ajuria Illarramendi, Guillaume Bogopolsky, Michael Bauerheim, Benedicte Cuenot
    http://arxiv.org/abs/2109.13076v1

    • [cs.MM]High Frame Rate Video Quality Assessment using VMAF and Entropic Differences
    Pavan C Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik
    http://arxiv.org/abs/2109.12785v1

    • [cs.MS]AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
    Frank Schäfer, Mohamed Tarek, Lyndon White, Chris Rackauckas
    http://arxiv.org/abs/2109.12449v1

    • [cs.NE]An optimised deep spiking neural network architecture without gradients
    Yeshwanth Bethi, Ying Xu, Gregory Cohen, Andre van Schaik, Saeed Afshar
    http://arxiv.org/abs/2109.12813v1

    • [cs.NE]Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian
    Carlo Michaelis, Andrew B. Lehr, Winfried Oed, Christian Tetzlaff
    http://arxiv.org/abs/2109.12308v1

    • [cs.NE]Half a Dozen Real-World Applications of Evolutionary Multitasking and More
    Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
    http://arxiv.org/abs/2109.13101v1

    • [cs.NE]Self-Replicating Neural Programs
    Samuel Schmidgall
    http://arxiv.org/abs/2109.12786v1

    • [cs.NE]Spiking neural networks trained via proxy
    Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
    http://arxiv.org/abs/2109.13208v1

    • [cs.NE]Training Spiking Neural Networks Using Lessons From Deep Learning
    Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu
    http://arxiv.org/abs/2109.12894v1

    • [cs.NI]DRL-based Slice Placement under Realistic Network Load Conditions
    José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
    http://arxiv.org/abs/2109.12857v1

    • [cs.NI]Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach
    Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani
    http://arxiv.org/abs/2109.12409v1

    • [cs.RO]A 3-DOF Robotic Platform for the Rehabilitation of Reaction Time and Balance Skills of MS Patients
    Tugce Ersoy, Elif Hocaoglu
    http://arxiv.org/abs/2109.13201v1

    • [cs.RO]A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor
    Genghang Zhuang, Carlo Cagnetta, Zhenshan Bing, Kai Huang, Alois Knoll
    http://arxiv.org/abs/2109.12928v1

    • [cs.RO]A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor
    Genghang Zhuang, Zhenshan Bing, Jiaxi Zhao, Ning Li, Yuhong Huang, Kai Huang, Alois Knoll
    http://arxiv.org/abs/2109.12910v1

    • [cs.RO]A Fast Computational Optimization for Optimal Control and Trajectory Planning for Obstacle Avoidance between Polytopes
    Akshay Thirugnanam, Jun Zeng, Koushil Sreenath
    http://arxiv.org/abs/2109.12313v1

    • [cs.RO]A Multi-Agent System for Autonomous Mobile Robot Coordination
    Norberto Sousa, Nuno Oliveira, Isabel Praça
    http://arxiv.org/abs/2109.12386v1

    • [cs.RO]Anti-collision Technologies for Unmanned Aerial Vehicles: Recent Advances and Future Trends
    Zhiqing Wei, Zeyang Meng, Meichen Lai, Huici Wu, Jiarong Han, Zhiyong Feng
    http://arxiv.org/abs/2109.12832v1

    • [cs.RO]Anytime Game-Theoretic Planning with Active Reasoning About Humans’ Latent States for Human-Centered Robots
    Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele
    http://arxiv.org/abs/2109.12490v1

    • [cs.RO]Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
    Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar
    http://arxiv.org/abs/2109.12343v1

    • [cs.RO]CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure
    Pierre Dellenbach, Jean-Emmanuel Deschaud, Bastien Jacquet, François Goulette
    http://arxiv.org/abs/2109.12979v1

    • [cs.RO]Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra
    Isiah Zaplana, Hugo Hadfield, Joan Lasenby
    http://arxiv.org/abs/2109.12411v1

    • [cs.RO]Dynamic Allocation of Visual Attention for Vision-based Autonomous Navigation under Data Rate Constraints
    Ali Reza Pedram, Riku Funada, Takashi Tanaka
    http://arxiv.org/abs/2109.13146v1

    • [cs.RO]Efficient Force Estimation for Continuum Robot
    Qingyu Xiao, Yue Chen
    http://arxiv.org/abs/2109.12469v1

    • [cs.RO]Embedded Hardware Appropriate Fast 3D Trajectory Optimization for Fixed Wing Aerial Vehicles by Leveraging Hidden Convex Structures
    Vivek Kantilal Adajania, Houman Masnavi, Fatemeh Rastgar, Karl Kruusamae, Arun Kumar Singh
    http://arxiv.org/abs/2109.12609v1

    • [cs.RO]Emotional Speech Synthesis for Companion Robot to Imitate Professional Caregiver Speech
    Takeshi Homma, Qinghua Sun, Takuya Fujioka, Ryuta Takawaki, Eriko Ankyu, Kenji Nagamatsu, Daichi Sugawara, Etsuko T. Harada
    http://arxiv.org/abs/2109.12787v1

    • [cs.RO]Finite State Machine Policies Modulating Trajectory Generator
    Ren Liu, Nitish Sontakke, Sehoon Ha
    http://arxiv.org/abs/2109.12696v1

    • [cs.RO]From Bench to Bedside: The First Live Robotic Surgery on the dVRK to Enable Remote Telesurgery with Motion Scaling
    Florian Richter, Emily K. Funk, Won Seo Park, Ryan K. Orosco, Michael C. Yip
    http://arxiv.org/abs/2109.12177v1

    • [cs.RO]Fully Differentiable and Interpretable Model for VIO with 4 Trainable Parameters
    Zexi Chen, Haozhe Du, Yiyi Liao, Yue Wang, Rong Xiong
    http://arxiv.org/abs/2109.12292v1

    • [cs.RO]G-VOM: A GPU Accelerated Voxel Off-Road Mapping System
    Timothy Overbye, Srikanth Saripalli
    http://arxiv.org/abs/2109.13176v1

    • [cs.RO]GPU Accelerated Batch Multi-Convex Trajectory Optimization for a Rectangular Holonomic Mobile Robot
    Fatemeh Rastgar, Houman Masnavi, Karl Kruusamäe, Alvo Aabloo, Arun Kumar Singh
    http://arxiv.org/abs/2109.13030v1

    • [cs.RO]Improved Soft Duplicate Detection in Search-Based Motion Planning
    Nader Maray, Anirudh Vemula, Maxim Likhachev
    http://arxiv.org/abs/2109.12427v1

    • [cs.RO]Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks
    Jianxiang Feng, Maximilian Durner, Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Rudolph Triebel
    http://arxiv.org/abs/2109.12869v1

    • [cs.RO]Learning of Parameters in Behavior Trees for Movement Skills
    Matthias Mayr, Konstantinos Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krueger
    http://arxiv.org/abs/2109.13050v1

    • [cs.RO]Linear Policies are Sufficient to Realize Robust Bipedal Walking on Challenging Terrains
    Lokesh Krishna, Guillermo A. Castillo, Utkarsh A. Mishra, Ayonga Hereid, Shishir Kolathaya
    http://arxiv.org/abs/2109.12665v1

    • [cs.RO]Low Cost Bin Picking Solution for E-Commerce Warehouse Fulfillment Centers
    Avnish Gupta, Akash Jadhav, Pradyot VN Korupolu
    http://arxiv.org/abs/2109.12234v1

    • [cs.RO]Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery
    Zih-Yun Chiu, Albert Z Liao, Florian Richter, Bjorn Johnson, Michael C. Yip
    http://arxiv.org/abs/2109.12722v1

    • [cs.RO]Non-prehensile Planar Manipulation via Trajectory Optimization with Complementarity Constraints
    João Moura, Theodoros Stouraitis, Sethu Vijayakumar
    http://arxiv.org/abs/2109.13145v1

    • [cs.RO]Nonlinear MPC for Quadrotor Fault-Tolerant Control
    Fang Nan, Sihao Sun, Philipp Foehn, Davide Scaramuzza
    http://arxiv.org/abs/2109.12886v1

    • [cs.RO]On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing
    Gagan Khandate, Maxmillian Haas-Heger, Matei Ciocarlie
    http://arxiv.org/abs/2109.12720v1

    • [cs.RO]Precision fruit tree pruning using a learned hybrid vision/interaction controller
    Alexander You, Hannah Kolano, Nidhi Parayil, Cindy Grimm, Joseph R. Davidson
    http://arxiv.org/abs/2109.13162v1

    • [cs.RO]Robotic Vision for Space Mining
    Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian Reid
    http://arxiv.org/abs/2109.12109v1

    • [cs.RO]Robust SLAM Systems: Are We There Yet?
    Mihai Bujanca, Xuesong Shi, Matthew Spear, Pengpeng Zhao, Barry Lennox, Mikel Lujan
    http://arxiv.org/abs/2109.13160v1

    • [cs.RO]Singularities of serial robots: Identification and distance computation using geometric algebra
    Isiah Zaplana, Hugo Hadfield, Joan Lasenby
    http://arxiv.org/abs/2109.12470v1

    • [cs.RO]Toolbox Release: A WiFi-Based Relative Bearing Sensor for Robotics
    Ninad Jadhav, Weiying Wang, Diana Zhang, Swarun Kumar, Stephanie Gil
    http://arxiv.org/abs/2109.12205v1

    • [cs.RO]Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation
    Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee, Sungjoon Choi
    http://arxiv.org/abs/2109.13081v1

    • [cs.RO]VP-GO: a “light” action-conditioned visual prediction model
    Anji Ma, Yoann Fleytoux, Jean-Bapstiste Mouret, Serena Ivaldi
    http://arxiv.org/abs/2109.12694v1

    • [cs.RO]Validating human driver models for interaction-aware automated vehicle controllers: A human factors approach
    Olger Siebinga, Arkady Zgonnikov, David Abbink
    http://arxiv.org/abs/2109.13077v1

    • [cs.SD]Soundata: A Python library for reproducible use of audio datasets
    Magdalena Fuentes, Justin Salamon, Pablo Zinemanas, Martín Rocamora, Genís Paja, Irán R. Román, Rachel Bittner, Marius Miron, Xavier Serra, Juan Pablo Bello
    http://arxiv.org/abs/2109.12690v1

    • [cs.SI]Anomalous Edge Detection in Edge Exchangeable Social Network Models
    Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
    http://arxiv.org/abs/2109.12727v1

    • [cs.SI]Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)
    Ali Nikseresht, Mohammad Hosein Raeisi, Hossein Abbasian Mohammadi
    http://arxiv.org/abs/2109.12630v1

    • [cs.SI]Interpretable Business Survival Prediction
    Anish K. Vallapuram, Nikhil Nanda, Young D. Kwon, Pan Hui
    http://arxiv.org/abs/2109.12370v1

    • [cs.SI]Know it to Defeat it: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis
    Wenjie Yang, Sitong Wang, Zhenhui Peng, Chuhan Shi, Xiaojuan Ma, Diyi Yang
    http://arxiv.org/abs/2109.12372v1

    • [cs.SI]Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information
    Priyanka Meel, Dinesh Kumar Vishwakarma
    http://arxiv.org/abs/2109.12547v1

    • [cs.SI]News Consumption in Time of Conflict: 2021 Palestinian-Israel War as an Example
    Kareem Darwish
    http://arxiv.org/abs/2109.12844v1

    • [cs.SI]Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks
    Rakib Hassan Pran, Ljupco Todorovski
    http://arxiv.org/abs/2109.12331v1

    • [cs.SI]Sequential Stochastic Network Structure Optimization with Applications to Addressing Canada’s Obesity Epidemic
    Nicholas A. G. Johnson
    http://arxiv.org/abs/2109.12730v1

    • [cs.SI]The Spread of Propaganda by Coordinated Communities on Social Media
    Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov
    http://arxiv.org/abs/2109.13046v1

    • [cs.SI]Under the Skin of Foundation NFT Auctions
    MohammadAmin Fazli, Ali Owfi, Mohammad Reza Taesiri
    http://arxiv.org/abs/2109.12321v1

    • [eess.AS]BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition
    Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
    http://arxiv.org/abs/2109.13226v1

    • [eess.AS]Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates
    Hirofumi Inaguma, Siddharth Dalmia, Brian Yan, Shinji Watanabe
    http://arxiv.org/abs/2109.12804v1

    • [eess.IV]A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
    Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
    http://arxiv.org/abs/2109.12634v1

    • [eess.IV]BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
    Qiran Jia, Hai Shu
    http://arxiv.org/abs/2109.12271v1

    • [eess.IV]Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
    Chinmoy Bose, Anirvan Basu
    http://arxiv.org/abs/2109.12453v1

    • [eess.IV]EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography
    Jiancong Chen, Yingying Zhang, Jingyi Wang, Xiaoxue Zhou, Yihua He, Tong Zhang
    http://arxiv.org/abs/2109.12474v1

    • [eess.IV]Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
    Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
    http://arxiv.org/abs/2109.12629v1

    • [eess.IV]Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion
    Jinxin Lv, Zhiwei Wang, Hongkuan Shi, Haobo Zhang, Sheng Wang, Yilang Wang, Qiang Li
    http://arxiv.org/abs/2109.12384v1

    • [eess.IV]Leveraging Multiple CNNs for Triaging Medical Workflow
    Lakshmi A. Ghantasala
    http://arxiv.org/abs/2109.12783v1

    • [eess.IV]Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation
    Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell
    http://arxiv.org/abs/2109.12940v1

    • [eess.IV]Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
    Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen, Thomas Urup, Ian Law, Koen Van Leemput
    http://arxiv.org/abs/2109.12334v1

    • [eess.IV]Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
    Sveinn Pálsson, Stefano Cerri, Koen Van Leemput
    http://arxiv.org/abs/2109.12339v1

    • [eess.IV]ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
    Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann
    http://arxiv.org/abs/2109.12448v1

    • [eess.IV]Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
    Yibao Sun, Giussepi Lopez, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang
    http://arxiv.org/abs/2109.12617v1

    • [eess.SP]Channel State Information Based Localization with Deep Learning
    Kutay Bölat
    http://arxiv.org/abs/2109.12398v1

    • [eess.SP]Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
    Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling
    http://arxiv.org/abs/2109.12561v1

    • [eess.SY]An Adaptive PID Autotuner for Multicopters with Experimental Results
    John Spencer, Joonghyun Lee, Juan Augusto Paredes, Ankit Goel, Dennis Bernstein
    http://arxiv.org/abs/2109.12797v1

    • [eess.SY]Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
    Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
    http://arxiv.org/abs/2109.12562v1

    • [eess.SY]Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning
    Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
    http://arxiv.org/abs/2109.12440v1

    • [math.OC]Accelerated nonlinear primal-dual hybrid gradient algorithms with applications to machine learning
    Jérôme Darbon, Gabriel Provencher Langlois
    http://arxiv.org/abs/2109.12222v1

    • [math.OC]Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
    Raghu Bollapragada, Stefan M. Wild
    http://arxiv.org/abs/2109.12213v1

    • [math.OC]Distributed Online Optimization with Byzantine Adversarial Agents
    Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
    http://arxiv.org/abs/2109.12340v1

    • [math.OC]Reducing the LQG Cost with Minimal Communication
    Oron Sabag, Peida Tian, Victoria Kostina, Babak Hassibi
    http://arxiv.org/abs/2109.12246v1

    • [math.PR]Cramér moderate deviations for a supercritical Galton-Watson process
    Paul Doukhan, Xiequan Fan, Zhi-Qiang Gao
    http://arxiv.org/abs/2109.12374v1

    • [math.ST]Estimating the characteristics of stochastic damping Hamiltonian systems from continuous observations
    Niklas Dexheimer, Claudia Strauch
    http://arxiv.org/abs/2109.13190v1

    • [math.ST]Heat diffusion distance processes: a statistically founded method to analyze graph data sets
    Etienne Lasalle
    http://arxiv.org/abs/2109.13213v1

    • [math.ST]Mathematical properties and finite-population correction for the Wilson score interval
    Ben O’Neill
    http://arxiv.org/abs/2109.12464v1

    • [math.ST]Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
    Yiren Wang, Dimitris N. Politis
    http://arxiv.org/abs/2109.12156v1

    • [math.ST]On a multivariate copula-based dependence measure and its estimation
    Florian Griessenberger, Robert R. Junker, Wolfgang Trutschnig
    http://arxiv.org/abs/2109.12883v1

    • [math.ST]Parameterising the effect of a continuous exposure using average derivative effects
    Oliver Hines, Karla Diaz-Ordaz, Stijn Vansteelandt
    http://arxiv.org/abs/2109.13124v1

    • [physics.chem-ph]Autoregressive neural-network wavefunctions for ab initio quantum chemistry
    Thomas D. Barrett, Aleksei Malyshev, A. I. Lvovsky
    http://arxiv.org/abs/2109.12606v1

    • [physics.chem-ph]Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells
    Jie Lin, Howie N. Chu, David A. Howey, Charles W. Monroe
    http://arxiv.org/abs/2109.12903v1

    • [physics.flu-dyn]Airfoil’s Aerodynamic Coefficients Prediction using Artificial Neural Network
    Hassan Moin, Hafiz Zeeshan Iqbal Khan, Surrayya Mobeen, Jamshed Riaz
    http://arxiv.org/abs/2109.12149v1

    • [physics.flu-dyn]Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network
    Pengfei Tang, Junsheng Zeng, Dongxiao Zhang, Heng Li
    http://arxiv.org/abs/2109.12311v1

    • [physics.plasm-ph]Learning Transport Processes with Machine Intelligence
    Francesco Miniati, Gianluca Gregori
    http://arxiv.org/abs/2109.13096v1

    • [physics.soc-ph]How the Avengers Assembled? Analysis of Marvel Hero Social Network
    Chongyang Shi, Xuan Yu, Ziyang Ren
    http://arxiv.org/abs/2109.12900v1

    • [q-bio.NC]Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes
    Satpreet Harcharan Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni Wen Brunton
    http://arxiv.org/abs/2109.12434v1

    • [q-bio.NC]From internal models toward metacognitive AI
    Mitsuo Kawato, Aurelio Cortese
    http://arxiv.org/abs/2109.12798v1

    • [q-fin.CP]Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility
    Eduardo Ramos-Pérez, Pablo J. Alonso-González, José Javier Núñez-Velázquez
    http://arxiv.org/abs/2109.12621v1

    • [quant-ph]Classical State Masking over a Quantum Channel
    Uzi Pereg, Christian Deppe, Holger Boche
    http://arxiv.org/abs/2109.12647v1

    • [quant-ph]Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
    Cenk Tüysüz, Carla Rieger, Kristiane Novotny, Bilge Demirköz, Daniel Dobos, Karolos Potamianos, Sofia Vallecorsa, Jean-Roch Vlimant, Richard Forster
    http://arxiv.org/abs/2109.12636v1

    • [quant-ph]Optimal Simulation of Quantum Measurements via the Likelihood POVMs
    Arun Padakandla
    http://arxiv.org/abs/2109.12586v1

    • [quant-ph]Strong entanglement distribution of quantum networks
    Xue Yang, Yan-Han Yang, Ming-Xing Luo
    http://arxiv.org/abs/2109.12871v1

    • [stat.AP]Disentangling the positive partisanship from the negative in affective polarization using a coevolving latent space network with attractors (CLSNA) model
    Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk
    http://arxiv.org/abs/2109.13129v1

    • [stat.AP]Influence of Mobility Restrictions on Transmission of COVID-19 in the state of Maryland — the USA
    Nandini Raghuraman, Kartik Kaushik, Deb Niemeier
    http://arxiv.org/abs/2109.12219v1

    • [stat.AP]Non-destructive methods for assessing tree fiber length distributions in standing trees
    Sara Sjöstedt de Luna, Konrad Abramowicz, Natalya Pya Arnqvist
    http://arxiv.org/abs/2109.12953v1

    • [stat.AP]Statistical Inference for Data Integration
    Xi Yang, Katherine A. Hoadley, Jan Hannig, J. S. Marron
    http://arxiv.org/abs/2109.12272v1

    • [stat.CO]onlineforecast: An R package for adaptive and recursive forecasting
    Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke, Mikkel L. Sørensen, Julian Lemos-Vinasco, Jon Liisberg, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen
    http://arxiv.org/abs/2109.12915v1

    • [stat.CO]pyStoNED: A Python Package for Convex Regression and Frontier Estimation
    Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen
    http://arxiv.org/abs/2109.12962v1

    • [stat.ME]A Bimodal Model for Extremes Data
    Cira E. G. Otiniano, Bianca Sousa, Roberto Vila, Marcelo Bourguignon
    http://arxiv.org/abs/2109.12738v1

    • [stat.ME]Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries
    Ao Huang, Kosuke Morikawa, Tim Friede, Satoshi Hattori
    http://arxiv.org/abs/2109.12526v1

    • [stat.ME]Analysis and Methods to Mitigate Effects of Under-reporting in Count Data
    Jennifer Brennan, Marlena Bannick, Nicholas Kassebaum, Lauren Wilner, Azalea Thompson, Aleksandr Aravkin, Peng Zheng
    http://arxiv.org/abs/2109.12247v1

    • [stat.ME]Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures
    Elizabeth A. Gibson, Sebastian T. Rowland, Jeff Goldsmith, John Paisley, Julie B. Herbstman, Marianthi-Anna Kiourmourtzoglou
    http://arxiv.org/abs/2109.12164v1

    • [stat.ME]Canonical fundamental skew-t linear mixed models
    Fernanda L. Schumacher, Larissa A. Matos, Celso R. B. Cabral
    http://arxiv.org/abs/2109.12152v1

    • [stat.ME]Continuous-time modeling of self-reported outcome data: a dynamic Item Response Theory model
    Cécile Proust-Lima, Viviane Philipps, Bastien Perrot, Myriam Blanchin, Véronique Sébille
    http://arxiv.org/abs/2109.13064v1

    • [stat.ME]Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization
    Fatima Batool, Ashish Patel, Dipender Gill, Stephen Burgess
    http://arxiv.org/abs/2109.12361v1

    • [stat.ME]IID Sampling from Intractable Multimodal and Variable-Dimensional Distributions
    Sourabh Bhattacharya
    http://arxiv.org/abs/2109.12633v1

    • [stat.ME]Learning non-monotone optimal individualized treatment regimes
    Trinetri Ghosh, Yanyuan Ma, Wensheng Zhu, Yuanjia Wang
    http://arxiv.org/abs/2109.12215v1

    • [stat.ME]Locally Sparse Function on function Regression
    Mauro Bernardi, Antonio Canale, Marco Stefanucci
    http://arxiv.org/abs/2109.13042v1

    • [stat.ME]The hazard ratio is interpretable as an odds or a probability under the assumption of proportional hazards
    David M. Thompson, Julia E. Reid
    http://arxiv.org/abs/2109.12207v1

    • [stat.ML]A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States
    Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
    http://arxiv.org/abs/2109.12094v2

    • [stat.ML]Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers
    Ruidi Chen, Boran Hao, Ioannis Paschalidis
    http://arxiv.org/abs/2109.12772v1

    • [stat.ML]Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
    Yunhan Zheng, Shenhao Wang, Jinhua Zhao
    http://arxiv.org/abs/2109.12422v1

    • [stat.ML]Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
    Keru Wu, Scott Schmidler, Yuansi Chen
    http://arxiv.org/abs/2109.13055v1

    • [stat.ML]Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization
    Ragunathan Mariappan, Vaibhav Rajan
    http://arxiv.org/abs/2109.13164v1

    • [stat.ML]Optimal policy evaluation using kernel-based temporal difference methods
    Yaqi Duan, Mengdi Wang, Martin J. Wainwright
    http://arxiv.org/abs/2109.12002
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    • [stat.ML]Optimising for Interpretability: Convolutional Dynamic Alignment Networks
    Moritz Böhle, Mario Fritz, Bernt Schiele
    http://arxiv.org/abs/2109.13004v1

    • [stat.ML]Probability Distribution on Full Rooted Trees
    Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima
    http://arxiv.org/abs/2109.12825v1

    • [stat.ML]Provable Low Rank Plus Sparse Matrix Separation Via Nonconvex Regularizers
    April Sagan, John E. Mitchell
    http://arxiv.org/abs/2109.12713v1

    • [stat.ML]Ridgeless Interpolation with Shallow ReLU Networks in 今日学术视野(2021.9.29) - 图6 is Nearest Neighbor Curvature Extrapolation and Provably Generalizes on Lipschitz Functions
    Boris Hanin
    http://arxiv.org/abs/2109.12960v1

    • [stat.ML]Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
    Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson
    http://arxiv.org/abs/2109.12701v1