归档 - 今日学术视野(2021.9.11) - 《爱可可老师分享》

cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.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.MA - 多代理系统
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
econ.GN - 一般经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.FA - 泛函演算
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
q-bio.BM - 生物分子
q-bio.NC - 神经元与认知
q-fin.PR - 证券定价
q-fin.RM - 风险管理
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [cond-mat.mtrl-sci]MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art
• [cs.AI]A distillation-based approach integrating continual learning and federated learning for pervasive services
• [cs.AI]Attributing Fair Decisions with Attention Interventions
• [cs.AI]Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
• [cs.AI]From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
• [cs.AI]LSB: Local Self-Balancing MCMC in Discrete Spaces
• [cs.AI]Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach
• [cs.AI]OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
• [cs.AI]Risk-Averse Decision Making Under Uncertainty
• [cs.AI]TrAISformer-A generative transformer for AIS trajectory prediction
• [cs.AI]User Tampering in Reinforcement Learning Recommender Systems
• [cs.AR]Resistive Neural Hardware Accelerators
• [cs.CL]A Bayesian Framework for Information-Theoretic Probing
• [cs.CL]A Formal Description of Sorani Kurdish Morphology
• [cs.CL]A Recipe For Arbitrary Text Style Transfer with Large Language Models
• [cs.CL]A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
• [cs.CL]ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization
• [cs.CL]AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
• [cs.CL]All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
• [cs.CL]Analysis of Language Change in Collaborative Instruction Following
• [cs.CL]ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
• [cs.CL]Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
• [cs.CL]Cartography Active Learning
• [cs.CL]Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
• [cs.CL]Competence-based Curriculum Learning for Multilingual Machine Translation
• [cs.CL]Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
• [cs.CL]Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
• [cs.CL]Debiasing Methods in Natural Language Understanding Make Bias More Accessible
• [cs.CL]Distributionally Robust Multilingual Machine Translation
• [cs.CL]ELIT: Emory Language and Information Toolkit
• [cs.CL]ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
• [cs.CL]Efficient Nearest Neighbor Language Models
• [cs.CL]Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension
• [cs.CL]Ensemble Fine-tuned mBERT for Translation Quality Estimation
• [cs.CL]Fixing exposure bias with imitation learning needs powerful oracles
• [cs.CL]Fusing task-oriented and open-domain dialogues in conversational agents
• [cs.CL]Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
• [cs.CL]Graph Based Network with Contextualized Representations of Turns in Dialogue
• [cs.CL]Graphine: A Dataset for Graph-aware Terminology Definition Generation
• [cs.CL]HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
• [cs.CL]It is AI’s Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset
• [cs.CL]KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs
• [cs.CL]Learning Opinion Summarizers by Selecting Informative Reviews
• [cs.CL]Learning from Uneven Training Data: Unlabeled, Single Label, and Multiple Labels
• [cs.CL]Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining
• [cs.CL]MATE: Multi-view Attention for Table Transformer Efficiency
• [cs.CL]MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
• [cs.CL]Multi-granularity Textual Adversarial Attack with Behavior Cloning
• [cs.CL]PPT: Pre-trained Prompt Tuning for Few-shot Learning
• [cs.CL]Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
• [cs.CL]Smoothed Contrastive Learning for Unsupervised Sentence Embedding
• [cs.CL]Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
• [cs.CL]Table-based Fact Verification with Salience-aware Learning
• [cs.CL]Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
• [cs.CL]Tracking Turbulence Through Financial News During COVID-19
• [cs.CL]Transformers in the loop: Polarity in neural models of language
• [cs.CL]Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data
• [cs.CL]Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance
• [cs.CL]Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference
• [cs.CL]Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems
• [cs.CL]Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers
• [cs.CL]Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
• [cs.CL]What’s Hidden in a One-layer Randomly Weighted Transformer?
• [cs.CL]Word-Level Coreference Resolution
• [cs.CR]Automated Security Assessment for the Internet of Things
• [cs.CR]BMS: Secure Decentralized Reconfiguration for Blockchain and BFT Systems
• [cs.CR]Detecting Attacks on IoT Devices using Featureless 1D-CNN
• [cs.CR]Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
• [cs.CR]EvilModel 2.0: Hiding Malware Inside of Neural Network Models
• [cs.CR]Knowledge mining of unstructured information: application to cyber-domain
• [cs.CR]Multilingual Audio-Visual Smartphone Dataset And Evaluation
• [cs.CR]Social Media Monitoring for IoT Cyber-Threats
• [cs.CV]ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection
• [cs.CV]Application of the Singular Spectrum Analysis on electroluminescence images of thin-film photovoltaic modules
• [cs.CV]Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto
• [cs.CV]Continuous Event-Line Constraint for Closed-Form Velocity Initialization
• [cs.CV]ConvMLP: Hierarchical Convolutional MLPs for Vision
• [cs.CV]Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage
• [cs.CV]Deep Hough Voting for Robust Global Registration
• [cs.CV]Fine-grained Data Distribution Alignment for Post-Training Quantization
• [cs.CV]HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
• [cs.CV]IFBiD: Inference-Free Bias Detection
• [cs.CV]IICNet: A Generic Framework for Reversible Image Conversion
• [cs.CV]Improving Building Segmentation for Off-Nadir Satellite Imagery
• [cs.CV]Improving Deep Metric Learning by Divide and Conquer
• [cs.CV]Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
• [cs.CV]Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
• [cs.CV]Learning to Discriminate Information for Online Action Detection: Analysis and Application
• [cs.CV]Leveraging Local Domains for Image-to-Image Translation
• [cs.CV]M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks
• [cs.CV]Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours
• [cs.CV]Multi-Tensor Network Representation for High-Order Tensor Completion
• [cs.CV]NEAT: Neural Attention Fields for End-to-End Autonomous Driving
• [cs.CV]Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point clouds
• [cs.CV]OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
• [cs.CV]PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition
• [cs.CV]Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
• [cs.CV]Reconstructing and grounding narrated instructional videos in 3D
• [cs.CV]RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
• [cs.CV]Self Supervision to Distillation for Long-Tailed Visual Recognition
• [cs.CV]Shuffled Patch-Wise Supervision for Presentation Attack Detection
• [cs.CV]Single Image 3D Object Estimation with Primitive Graph Networks
• [cs.CV]Talk-to-Edit: Fine-Grained Facial Editing via Dialog
• [cs.CV]Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing
• [cs.CV]Tiny CNN for feature point description for document analysis: approach and dataset
• [cs.CV]Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
• [cs.CV]Towards Transferable Adversarial Attacks on Vision Transformers
• [cs.CV]TxT: Crossmodal End-to-End Learning with Transformers
• [cs.CV]UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
• [cs.CV]Unsupervised clothing change adaptive person ReID
• [cs.CV]nnFormer: Interleaved Transformer for Volumetric Segmentation
• [cs.CY]A Systematic Approach to Group Fairness in Automated Decision Making
• [cs.CY]Follow the guides: disentangling human and algorithmic curation in online music consumption
• [cs.CY]Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data
• [cs.CY]Towards Sustainable Energy-Efficient Data Centers in Africa
• [cs.CY]Understanding Cycling Mobility: Bologna Case Study
• [cs.DC]An Effective Parallel Program Debugging Approach Based on Timing Annotation
• [cs.DC]Asynchronous Federated Learning on Heterogeneous Devices: A Survey
• [cs.DC]Energy Footprint of Blockchain Consensus Mechanisms Beyond Proof-of-Work
• [cs.DC]Renovation of EdgeCloudSim: An Efficient Discrete-Event Approach
• [cs.DC]System Optimization in Synchronous Federated Training: A Survey
• [cs.DL]Mapping Research Topics in Software Testing: A Bibliometric Analysis
• [cs.DL]NU:BRIEF — A Privacy-aware Newsletter Personalization Engine for Publishers
• [cs.GT]Eliciting Information with Partial Signals in Repeated Games
• [cs.HC]Comfort and Sickness while Virtually Aboard an Autonomous Telepresence Robot
• [cs.IR]A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
• [cs.IR]Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
• [cs.IR]Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
• [cs.IT]1-Bit MIMO for Terahertz Channels
• [cs.IT]Age-Aware Stochastic Hybrid Systems: Stability, Solutions, and Applications
• [cs.IT]Capacity and Stability Regions for Layered Packet Erasure Broadcast Channels with Feedback
• [cs.IT]Computational Polarization: An Information-theoretic Method for Resilient Computing
• [cs.IT]Degrees of randomized computability: decomposition into atoms
• [cs.LG]Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network
• [cs.LG]An Experimental Study of Class Imbalance in Federated Learning
• [cs.LG]An objective function for order preserving hierarchical clustering
• [cs.LG]AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
• [cs.LG]Bag of Tricks for Optimizing Transformer Efficiency
• [cs.LG]COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
• [cs.LG]Compositional Affinity Propagation: When Clusters Have Compositional Structure
• [cs.LG]Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
• [cs.LG]DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
• [cs.LG]DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks
• [cs.LG]Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
• [cs.LG]ECQ $今日学术视野(2021.9.11) - 图1$ : Explainability-Driven Quantization for Low-Bit and Sparse DNNs
• [cs.LG]Energy Attack: On Transferring Adversarial Examples
• [cs.LG]Estimation of Corporate Greenhouse Gas Emissions via Machine Learning
• [cs.LG]GNisi: A graph network for reconstructing Ising models from multivariate binarized data
• [cs.LG]Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
• [cs.LG]Gradual (In)Compatibility of Fairness Criteria
• [cs.LG]Highly Scalable and Provably Accurate Classification in Poincare Balls
• [cs.LG]Incentivizing an Unknown Crowd
• [cs.LG]Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?
• [cs.LG]Learning the Physics of Particle Transport via Transformers
• [cs.LG]Local Augmentation for Graph Neural Networks
• [cs.LG]Mean-Square Analysis with An Application to Optimal Dimension Dependence of Langevin Monte Carlo
• [cs.LG]MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
• [cs.LG]Mining Points of Interest via Address Embeddings: An Unsupervised Approach
• [cs.LG]Model Explanations via the Axiomatic Causal Lens
• [cs.LG]NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge
• [cs.LG]Neural Latents Benchmark ‘21: Evaluating latent variable models of neural population activity
• [cs.LG]NeuralFMU: Towards Structural Integration of FMUs into Neural Networks
• [cs.LG]OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
• [cs.LG]On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
• [cs.LG]On the use of Wasserstein metric in topological clustering of distributional data
• [cs.LG]Position-based Ha
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sh Embeddings For Scaling Graph Neural Networks
• [cs.LG]PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
• [cs.LG]Relating Graph Neural Networks to Structural Causal Models
• [cs.LG]Robust Optimal Classification Trees Against Adversarial Examples
• [cs.LG]SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning
• [cs.LG]Self-supervised Reinforcement Learning with Independently Controllable Subgoals
• [cs.LG]SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
• [cs.LG]TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
• [cs.LG]Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
• [cs.LG]Versions of Gradient Temporal Difference Learning
• [cs.LG]Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
• [cs.LG]fGOT: Graph Distances based on Filters and Optimal Transport
• [cs.MA]DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning
• [cs.MM]Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
• [cs.NE]ErfAct: Non-monotonic smooth trainable Activation Functions
• [cs.NE]Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
• [cs.RO]Active Multi-Object Exploration and Recognition via Tactile Whiskers
• [cs.RO]DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem
• [cs.RO]Dynamic Locomotion Teleoperation of a Wheeled Humanoid Robot Reduced Model with a Whole-Body Human-Machine Interface
• [cs.RO]Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
• [cs.RO]Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload
• [cs.RO]Interpretable Run-Time Prediction and Planning in Co-Robotic Environments
• [cs.RO]Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization
• [cs.RO]Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations
• [cs.RO]Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
• [cs.RO]Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics
• [cs.RO]Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors
• [cs.RO]Robot Localization and Navigation through Predictive Processing using LiDAR
• [cs.RO]SORNet: Spatial Object-Centric Representations for Sequential Manipulation
• [cs.RO]Safe, Deterministic Trajectory Planning for Unstructured and Partially Occluded Environments
• [cs.RO]Solving Simultaneous Target Assignment and Path Planning Efficiently with Time-Independent Execution
• [cs.RO]Taxim: An Example-based Simulation Model for GelSight Tactile Sensors
• [cs.SD]BeamTransformer: Microphone Array-based Overlapping Speech Detection
• [cs.SD]DeepEMO: Deep Learning for Speech Emotion Recognition
• [cs.SE]Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
• [cs.SE]The challenge of reproducible ML: an empirical study on the impact of bugs
• [cs.SI]QUINT: Node embedding using network hashing
• [cs.SI]Trust-ya: design of a multiplayer game for the study of small group processes
• [econ.EM]On the estimation of discrete choice models to capture irrational customer behaviors
• [econ.GN]Matrix Completion of World Trade
• [eess.AS]Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring
• [eess.IV]Fair Conformal Predictors for Applications in Medical Imaging
• [eess.IV]MRI Reconstruction Using Deep Energy-Based Model
• [eess.IV]Perceptual Learned Video Compression with Recurrent Conditional GAN
• [eess.IV]PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery
• [eess.IV]PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery
• [eess.IV]Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks
• [eess.SP]Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication
• [eess.SP]EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
• [eess.SY]Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning
• [eess.SY]Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
• [math.FA]Exponential bases for partitions of intervals
• [math.NA]AdjointNet: Constraining machine learning models with physics-based codes
• [math.NA]Stationary Density Estimation of Itô Diffusions Using Deep Learning
• [math.OC]Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics
• [math.OC]Coordinate Descent Methods for DC Minimization
• [math.OC]Initialization for Nonnegative Matrix Factorization: a Comprehensive Review
• [math.OC]Iterated Vector Fields and Conservatism, with Applications to Federated Learning
• [math.PR]Almost sure convergence of the accelerated weight histogram algorithm
• [math.PR]Quantitative form of Ball’s Cube slicing in $今日学术视野(2021.9.11) - 图2$ and equality cases in the min-entropy power inequality
• [math.ST]Compositional Active Inference I: Bayesian Lenses. Statistical Games
• [math.ST]Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates
• [math.ST]Kurtosis-based projection pursuit for matrix-valued data
• [math.ST]Posterior Concentration Rates for Bayesian O’Sullivan Penalized Splines
• [math.ST]Sharp regret bounds for empirical Bayes and compound decision problems
• [q-bio.BM]Machine learning modeling of family wide enzyme-substrate specificity screens
• [q-bio.BM]Protein Folding Neural Networks Are Not Robust
• [q-bio.NC]Memory semantization through perturbed and adversarial dreaming
• [q-fin.PR]Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
• [q-fin.RM]SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator
• [quant-ph]Quantum Machine Learning for Finance
• [quant-ph]Simplified Quantum Algorithm for the Oracle Identification Problem
• [stat.AP]Estimation for recurrent events through conditional estimating equations
• [stat.AP]Simplifying small area estimation with rFIA: a demonstration of tools and techniques
• [stat.ME]Bayesian data selection
• [stat.ME]Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model
• [stat.ME]Differentially private methods for managing model uncertainty in linear regression models
• [stat.ME]Evaluation of imputation techniques with varying percentage of missing data
• [stat.ME]Multi-population mortality forecasting using high-dimensional functional factor models
• [stat.ME]On a quantile autoregressive conditional duration model applied to high-frequency financial data
• [stat.ME]Optimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19
• [stat.ML]Adaptive importance sampling for seismic fragility curve estimation
• [stat.ML]Extreme Bandits using Robust Statistics
• [stat.ML]Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection
• [stat.ML]Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework
• [stat.ML]Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
• [stat.ML]Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons

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• [cond-mat.mtrl-sci]MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art
Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves Louis, Edirisuriya M. D. Siriwardane, Yong Zhao
http://arxiv.org/abs/2109.04007v1

• [cs.AI]A distillation-based approach integrating continual learning and federated learning for pervasive services
Anastasiia Usmanova, François Portet, Philippe Lalanda, German Vega
http://arxiv.org/abs/2109.04197v1

• [cs.AI]Attributing Fair Decisions with Attention Interventions
Ninareh Mehrabi, Umang Gupta, Fred Morstatter, Greg Ver Steeg, Aram Galstyan
http://arxiv.org/abs/2109.03952v1

• [cs.AI]Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem
Niels van Hoeffelen, Pablo Lanillos
http://arxiv.org/abs/2109.04155v1

• [cs.AI]From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
Francesco Sovrano, Fabio Vitali
http://arxiv.org/abs/2109.04171v1

• [cs.AI]LSB: Local Self-Balancing MCMC in Discrete Spaces
Emanuele Sansone
http://arxiv.org/abs/2109.03867v1

• [cs.AI]Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach
Alberto Barbado, María Dolores González, Débora Carrera
http://arxiv.org/abs/2109.04152v1

• [cs.AI]OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
Yunyou Huang, Nana Wang, Suqin Tang, Li Ma, Tianshu Hao, Zihan Jiang, Fan Zhang, Guoxin Kang, Xiuxia Miao, Xianglong Guan, Ruchang Zhang, Zhifei Zhang, Jianfeng Zhan
http://arxiv.org/abs/2109.04004v1

• [cs.AI]Risk-Averse Decision Making Under Uncertainty
Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames
http://arxiv.org/abs/2109.04082v1

• [cs.AI]TrAISformer-A generative transformer for AIS trajectory prediction
Duong Nguyen, Ronan Fablet
http://arxiv.org/abs/2109.03958v1

• [cs.AI]User Tampering in Reinforcement Learning Recommender Systems
Charles Evans, Atoosa Kasirzadeh
http://arxiv.org/abs/2109.04083v1

• [cs.AR]Resistive Neural Hardware Accelerators
Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi, Khaled Salama, Ahmed Eltawil
http://arxiv.org/abs/2109.03934v1

• [cs.CL]A Bayesian Framework for Information-Theoretic Probing
Tiago Pimentel, Ryan Cotterell
http://arxiv.org/abs/2109.03853v1

• [cs.CL]A Formal Description of Sorani Kurdish Morphology
Sina Ahmadi
http://arxiv.org/abs/2109.03942v1

• [cs.CL]A Recipe For Arbitrary Text Style Transfer with Large Language Models
Emily Reif, Daphne Ippolito, Ann Yuan, Andy Coenen, Chris Callison-Burch, Jason Wei
http://arxiv.org/abs/2109.03910v1

• [cs.CL]A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
Shilei Liu, Xiaofeng Zhao, Bochao Li, Feiliang Ren, Longhui Zhang, Shujuan Yin
http://arxiv.org/abs/2109.04096v1

• [cs.CL]ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization
Alireza Salemi, Emad Kebriaei, Ghazal Neisi Minaei, Azadeh Shakery
http://arxiv.org/abs/2109.04098v1

• [cs.CL]AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, Aline Villavicencio
http://arxiv.org/abs/2109.04413v1

• [cs.CL]All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality
William Timkey, Marten van Schijndel
http://arxiv.org/abs/2109.04404v1

• [cs.CL]Analysis of Language Change in Collaborative Instruction Following
Anna Effenberger, Eva Yan, Rhia Singh, Alane Suhr, Yoav Artzi
http://arxiv.org/abs/2109.04452v1

• [cs.CL]ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
http://arxiv.org/abs/2109.03438v2

• [cs.CL]Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh, Iryna Gurevych
http://arxiv.org/abs/2109.04144v1

• [cs.CL]Cartography Active Learning
Mike Zhang, Barbara Plank
http://arxiv.org/abs/2109.04282v1

• [cs.CL]Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
Shahar Levy, Koren Lazar, abriel Stanovsky
http://arxiv.org/abs/2109.03858v1

• [cs.CL]Competence-based Curriculum Learning for Multilingual Machine Translation
Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou
http://arxiv.org/abs/2109.04002v1

• [cs.CL]Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin
http://arxiv.org/abs/2109.04385v1

• [cs.CL]Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph
Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
http://arxiv.org/abs/2109.04400v1

• [cs.CL]Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Michael Mendelson, Yonatan Belinkov
http://arxiv.org/abs/2109.04095v1

• [cs.CL]Distributionally Robust Multilingual Machine Translation
Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
http://arxiv.org/abs/2109.04020v1

• [cs.CL]ELIT: Emory Language and Information Toolkit
Han He, Liyan Xu, Jinho D. Choi
http://arxiv.org/abs/2109.03903v1

• [cs.CL]ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu
http://arxiv.org/abs/2109.04380v1

• [cs.CL]Efficient Nearest Neighbor Language Models
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick
http://arxiv.org/abs/2109.04212v1

• [cs.CL]Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension
Xinbei Ma, Zhuosheng Zhang, Hai Zhao
http://arxiv.org/abs/2109.04066v1

• [cs.CL]Ensemble Fine-tuned mBERT for Translation Quality Estimation
Shaika Chowdhury, Naouel Baili, Brian Vannah
http://arxiv.org/abs/2109.03914v1

• [cs.CL]Fixing exposure bias with imitation learning needs powerful oracles
Luca Hormann, Artem Sokolov
http://arxiv.org/abs/2109.04114v1

• [cs.CL]Fusing task-oriented and open-domain dialogues in conversational agents
Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria
http://arxiv.org/abs/2109.04137v1

• [cs.CL]Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
Thuy-Trang Vu, Xuanli He, Dinh Phung, Gholamreza Haffari
http://arxiv.org/abs/2109.04292v1

• [cs.CL]Graph Based Network with Contextualized Representations of Turns in Dialogue
Bongseok Lee, Yong Suk Choi
http://arxiv.org/abs/2109.04008v1

• [cs.CL]Graphine: A Dataset for Graph-aware Terminology Definition Generation
Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang
http://arxiv.org/abs/2109.04018v1

• [cs.CL]HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
http://arxiv.org/abs/2109.04443v1

• [cs.CL]It is AI’s Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu
http://arxiv.org/abs/2109.03423v2

• [cs.CL]KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs
Yinquan Lu, Haonan Lu, Guirong Fu, Qun Liu
http://arxiv.org/abs/2109.04223v1

• [cs.CL]Learning Opinion Summarizers by Selecting Informative Reviews
Arthur Bražinskas, Mirella Lapata, Ivan Titov
http://arxiv.org/abs/2109.04325v1

• [cs.CL]Learning from Uneven Training Data: Unlabeled, Single Label, and Multiple Labels
Shujian Zhang, Chengyue Gong, Eunsol Choi
http://arxiv.org/abs/2109.04408v1

• [cs.CL]Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining
Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang
http://arxiv.org/abs/2109.04080v1

• [cs.CL]MATE: Multi-view Attention for Table Transformer Efficiency
Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, William W. Cohen
http://arxiv.org/abs/2109.04312v1

• [cs.CL]MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Manqing Dong, Chunguang Pan, Zhipeng Luo
http://arxiv.org/abs/2109.04108v1

• [cs.CL]Multi-granularity Textual Adversarial Attack with Behavior Cloning
Yangyi Chen, Jin Su, Wei Wei
http://arxiv.org/abs/2109.04367v1

• [cs.CL]PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang
http://arxiv.org/abs/2109.04332v1

• [cs.CL]Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models
Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard Hovy, Varun Gangal
http://arxiv.org/abs/2109.03892v1

• [cs.CL]Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu
http://arxiv.org/abs/2109.04321v1

• [cs.CL]Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
Potsawee Manakul, Mark J. F. Gales
http://arxiv.org/abs/2109.03888v1

• [cs.CL]Table-based Fact Verification with Salience-aware Learning
Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen
http://arxiv.org/abs/2109.04053v1

• [cs.CL]Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
Yicheng Zou, Zhihua Liu, Xingwu Hu, Qi Zhang
http://arxiv.org/abs/2109.04084v1

• [cs.CL]Tracking Turbulence Through Financial News During COVID-19
Philip Hossu, Natalie Parde
http://arxiv.org/abs/2109.04369v1

• [cs.CL]Transformers in the loop: Polarity in neural models of language
Lisa Bylinina, Alexey Tikhonov
http://arxiv.org/abs/2109.03926v1

• [cs.CL]Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data
Massimo Nicosia, Zhongdi Qu, Yasemin Altun
http://arxiv.org/abs/2109.04319v1

• [cs.CL]Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance
Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-chin Lin, Nurul Lubis, Shutong Feng, Milica Gašić
http://arxiv.org/abs/2109.04349v1

• [cs.CL]Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference
Xiaoyu Yang, Xiaodan Zhu, Zhan Shi, Tianda Li
http://arxiv.org/abs/2109.03941v1

• [cs.CL]Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems
Hong Liu, Yucheng Cai, Zhenru Lin, Zhijian Ou, Yi Huang, Junlan Feng
http://arxiv.org/abs/2109.04314v1

• [cs.CL]Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers
Stella Frank, Emanuele Bugliarello, Desmond Elliott
http://arxiv.org/abs/2109.04448v1

• [cs.CL]Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral
http://arxiv.org/abs/2109.04014v1

• [cs.CL]What’s Hidden in a One-layer Randomly Weighted Transformer?
Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney
http://arxiv.org/abs/2109.03939v1

• [cs.CL]Word-Level Coreference Resolution
Vladimir Dobrovolskii
http://arxiv.org/abs/2109.04127v1

• [cs.CR]Automated Security Assessment for the Internet of Things
Xuanyu Duan, Mengmeng Ge, Triet H. M. Le, Faheem Ullah, Shang Gao, Xuequan Lu, M. Ali Babar
http://arxiv.org/abs/2109.04029v1

• [cs.CR]BMS: Secure Decentralized Reconfiguration for Blockchain and BFT Systems
Selma Steinhoff, Chrysoula Stathakopoulou, Matej Pavlovic, Marko Vukolić
http://arxiv.org/abs/2109.03913v1

• [cs.CR]Detecting Attacks on IoT Devices using Featureless 1D-CNN
Arshiya Khan, Chase Cotton
http://arxiv.org/abs/2109.03989v1

• [cs.CR]Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo
http://arxiv.org/abs/2109.04253v1

• [cs.CR]EvilModel 2.0: Hiding Malware Inside of Neural Network Models
Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin
http://arxiv.org/abs/2109.04344v1

• [cs.CR]Knowledge mining of unstructured information: application to cyber-domain
Tuomas Takko, Kunal Bhattacharya, Martti Lehto, Pertti Jalasvirta, Aapo Cederberg, Kimmo Kaski
http://arxiv.org/abs/2109.03848v1

• [cs.CR]Multilingual Audio-Visual Smartphone Dataset And Evaluation
Hareesh Mandalapu, Aravinda Reddy P N, Raghavendra Ramachandra, K Sreenivasa Rao, Pabitra Mitra, S R Mahadeva Prasanna, Christoph Busch
http://arxiv.org/abs/2109.04138v1

• [cs.CR]Social Media Monitoring for IoT Cyber-Threats
Sofia Alevizopoulou, Paris Koloveas, Christos Tryfonopoulos, Paraskevi Raftopoulou
http://arxiv.org/abs/2109.04306v1

• [cs.CV]ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, In So Kweon
http://arxiv.org/abs/2109.04047v1

• [cs.CV]Application of the Singular Spectrum Analysis on electroluminescence images of thin-film photovoltaic modules
Evgenii Sovetkin, Bart E. Pieters
http://arxiv.org/abs/2109.04048v1

• [cs.CV]Automated LoD-2 Model Reconstruction from Very-HighResolution Satellite-derived Digital Surface Model and Orthophoto
Shengxi Gui, Rongjun Qin
http://arxiv.org/abs/2109.03876v1

• [cs.CV]Continuous Event-Line Constraint for Closed-Form Velocity Initialization
Peng Xin, Xu Wangting, Yang Jiaqi, Kneip Laurent
http://arxiv.org/abs/2109.04313v1

• [cs.CV]ConvMLP: Hierarchical Convolutional MLPs for Vision
Jiachen Li, Ali Hassani, Steven Walton, Humphrey Shi
http://arxiv.org/abs/2109.04454v1

• [cs.CV]Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage
Shilin Lu, Xinghong Hu, Chengyou Wang, Lu Chen, Shulu Han, Yuejia Han
http://arxiv.org/abs/2109.04381v1

• [cs.CV]Deep Hough Voting for Robust Global Registration
Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park
http://arxiv.org/abs/2109.04310v1

• [cs.CV]Fine-grained Data Distribution Alignment for Post-Training Quantization
Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji
http://arxiv.org/abs/2109.04186v1

• [cs.CV]HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
Pedro Machado, Andreas Oikonomou, Joao Filipe Ferreira, T. M. McGinnity
http://arxiv.org/abs/2109.04119v1

• [cs.CV]IFBiD: Inference-Free Bias Detection
Ignacio Serna, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
http://arxiv.org/abs/2109.04374v1

• [cs.CV]IICNet: A Generic Framework for Reversible Image Conversion
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
http://arxiv.org/abs/2109.04242v1

• [cs.CV]Improving Building Segmentation for Off-Nadir Satellite Imagery
Hanxiang Hao, Sriram Baireddy, Kevin LaTourette, Latisha Konz, Moses Chan, Mary L. Comer, Edward J. Delp
http://arxiv.org/abs/2109.03961v1

• [cs.CV]Improving Deep Metric Learning by Divide and Conquer
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
http://arxiv.org/abs/2109.04003v1

• [cs.CV]Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
Xing Cheng, Hezheng Lin, Xiangyu Wu, Fan Yang, Dong Shen
http://arxiv.org/abs/2109.04290v1

• [cs.CV]Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
Tianyi Zhang, Matthew Johnson-Roberson
http://arxiv.org/abs/2109.04087v1

• [cs.CV]Learning to Discriminate Information for Online Action Detection: Analysis and Application
Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim
http://arxiv.org/abs/2109.03393v2

• [cs.CV]Leveraging Local Domains for Image-to-Image Translation
Anthony Dell’Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette
http://arxiv.org/abs/2109.04468v1

• [cs.CV]M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks
Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang
http://arxiv.org/abs/2109.04275v1

• [cs.CV]Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours
Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi
http://arxiv.org/abs/2109.04021v1

• [cs.CV]Multi-Tensor Network Representation for High-Order Tensor Completion
Chang Nie, Huan Wang, Zhihui Lai
http://arxiv.org/abs/2109.04022v1

• [cs.CV]NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Kashyap Chitta, Aditya Prakash, Andreas Geiger
http://arxiv.org/abs/2109.04456v1

• [cs.CV]Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point clouds
Zixiong Wang, Pengfei Wang, Qiujie Dong, Junjie Gao, Shuangmin Chen, Shiqing Xin, Changhe Tu
http://arxiv.org/abs/2109.04398v1

• [cs.CV]OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
Shubham Paliwal, Monika Sharma, Lovekesh Vig
http://arxiv.org/abs/2109.03849v1

• [cs.CV]PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition
Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang
http://arxiv.org/abs/2109.04145v1

• [cs.CV]Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
http://arxiv.org/abs/2109.04379v1

• [cs.CV]Reconstructing and grounding narrated instructional videos in 3D
Dimitri Zhukov, Ignacio Rocco, Ivan Laptev, Josef Sivic, Johannes L. Schnberger, Bugra Tekin, Marc Pollefeys
http://arxiv.org/abs/2109.04409v1

• [cs.CV]RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
Zhuoxiao Chen, Yiyun Zhang, Yadan Luo, Zijian Wang, Jinjiang Zhong, Anthony Southon
http://arxiv.org/abs/2109.03385v2

• [cs.CV]Self Supervision to Distillation for Long-Tailed Visual Recognition
Tianhao Li, Limin Wang, Gangshan Wu
http://arxiv.org/abs/2109.04075v1

• [cs.CV]Shuffled Patch-Wise Supervision for Presentation Attack Detection
Alperen Kantarcı, Hasan Dertli, Hazım Kemal Ekenel
http://arxiv.org/abs/2109.03484v2

• [cs.CV]Single Image 3D Object Estimation with Primitive Graph Networks
Qian He, Desen Zhou, Bo Wan, Xuming He
http://arxiv.org/abs/2109.04153v1

• [cs.CV]Talk-to-Edit: Fine-Grained Facial Editing via Dialog
Yuming Jiang, Ziqi Huang, Xingang Pan, Chen Change Loy, Ziwei Liu
http://arxiv.org/abs/2109.04425v1

• [cs.CV]Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing
Haozhe Liu, Zhe Kong, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch
http://arxiv.org/abs/2109.04100v1

• [cs.CV]Tiny CNN for feature point description for document analysis: approach and dataset
A. Sheshkus, A. Chirvonaya, V. L. Arlazarov
http://arxiv.org/abs/2109.04134v1

• [cs.CV]Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, Kaiping Zheng
http://arxiv.org/abs/2109.04284v1

• [cs.CV]Towards Transferable Adversarial Attacks on Vision Transformers
Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang
http://arxiv.org/abs/2109.04176v1

• [cs.CV]TxT: Crossmodal End-to-End Learning with Transformers
Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth
http://arxiv.org/abs/2109.04422v1

• [cs.CV]UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaiane
http://arxiv.org/abs/2109.04335v1

• [cs.CV]Unsupervised clothing change adaptive person ReID
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard YiDa Xu
http://arxiv.org/abs/2109.03702v1

• [cs.CV]nnFormer: Interleaved Transformer for Volumetric Segmentation
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu
http://arxiv.org/abs/2109.03201v3

• [cs.CY]A Systematic Approach to Group Fairness in Automated Decision Making
Corinna Hertweck, Christoph Heitz
http://arxiv.org/abs/2109.04230v1

• [cs.CY]Follow the guides: disentangling human and algorithmic curation in online music consumption
Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth
http://arxiv.org/abs/2109.03915v1

• [cs.CY]Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data
Timilehin Ogundare, Terence Van Zyl
http://arxiv.org/abs/2109.04207v1

• [cs.CY]Towards Sustainable Energy-Efficient Data Centers in Africa
David Ojika, Jayson Strayer, Gaurav Kaul
http://arxiv.org/abs/2109.04067v1

• [cs.CY]Understanding Cycling Mobility: Bologna Case Study
Taron Davtian, Flavio Bertini, Rajesh Sharma
http://arxiv.org/abs/2109.04243v1

• [cs.DC]An Effective Parallel Program Debugging Approach Based on Timing Annotation
Yun Chang, Hsin-I Wu, Ren-Song Tsay
http://arxiv.org/abs/2109.04142v1

• [cs.DC]Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu, Youyang Qu, Yong Xiang, Longxiang Gao
http://arxiv.org/abs/2109.04269v1

• [cs.DC]Energy Footprint of Blockchain Consensus Mechanisms Beyond Proof-of-Work
Moritz Platt, Johannes Sedlmeir, Daniel Platt, Ulrich Gallersdörfer, Paolo Tasca, Jiahua Xu, Nikhil Vadgama, Juan Ignacio Ibañez
http://arxiv.org/abs/2109.03667v2

• [cs.DC]Renovation of EdgeCloudSim: An Efficient Discrete-Event Approach
Raphael Freymann, Junjie Shi, Jian-Jia Chen, Kuan-Hsun Chen
http://arxiv.org/abs/2109.03901v1

• [cs.DC]System Optimization in Synchronous Federated Training: A Survey
Zhifeng Jiang, Wei Wang
http://arxiv.org/abs/2109.03999v1

• [cs.DL]Mapping Research Topics in Software Testing: A Bibliometric Analysis
Alireza Salahirad, Gregory Gay, Ehsan Mohammadi
http://arxiv.org/abs/2109.04086v1

• [cs.DL]NU:BRIEF — A Privacy-aware Newsletter Personalization Engine for Publishers
Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir, Reshma Narayanan Kutty
http://arxiv.org/abs/2109.03955v1

• [cs.GT]Eliciting Information with Partial Signals in Repeated Games
Yutong Wu, Ali Khodabakhsh, Bo Li, Evdokia Nikolova, Emmanouil Pountourakis
http://arxiv.org/abs/2109.04343v1

• [cs.HC]Comfort and Sickness while Virtually Aboard an Autonomous Telepresence Robot
Markku Suomalainen, Katherine J. Mimnaugh, Israel Becerra, Eliezer Lozano, Rafael Murrieta-Cid, Steven M. LaValle
http://arxiv.org/abs/2109.04177v1

• [cs.IR]A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
Xiaocong Chen, Lina Yao, Julian McAuley, Guanglin Zhou, Xianzhi Wang
http://arxiv.org/abs/2109.03540v2

• [cs.IR]Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
http://arxiv.org/abs/2109.04200v1

• [cs.IR]Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
http://arxiv.org/abs/2109.03821v1

• [cs.IT]1-Bit MIMO for Terahertz Channels
Angel Lozano
http://arxiv.org/abs/2109.04390v1

• [cs.IT]Age-Aware Stochastic Hybrid Systems: Stability, Solutions, and Applications
Ali Maatouk, Mohamad Assaad, Anthony Ephremides
http://arxiv.org/abs/2109.03919v1

• [cs.IT]Capacity and Stability Regions for Layered Packet Erasure Broadcast Channels with Feedback
Siyao Li, Daniela Tuninetti, Natasha Devroye, Hulya Seferoglu
http://arxiv.org/abs/2109.03938v1

• [cs.IT]Computational Polarization: An Information-theoretic Method for Resilient Computing
Mert Pilanci
http://arxiv.org/abs/2109.03877v1

• [cs.IT]Degrees of randomized computability: decomposition into atoms
Vladimir V. V’yugin
http://arxiv.org/abs/2109.04410v1

• [cs.LG]Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network
Lance Ying, Amrit Romana, Emily Mower Provost
http://arxiv.org/abs/2109.04316v1

• [cs.LG]An Experimental Study of Class Imbalance in Federated Learning
C. Xiao, S. Wang
http://arxiv.org/abs/2109.04094v1

• [cs.LG]An objective function for order preserving hierarchical clustering
Daniel Bakkelund
http://arxiv.org/abs/2109.04266v1

• [cs.LG]AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Mingjian Chen
http://arxiv.org/abs/2109.04115v1

• [cs.LG]Bag of Tricks for Optimizing Transformer Efficiency
Ye Lin, Yanyang Li, Tong Xiao, Jingbo Zhu
http://arxiv.org/abs/2109.04030v1

• [cs.LG]COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption
Ahmed Frikha, Denis Krompaß, Volker Tresp
http://arxiv.org/abs/2109.04320v1

• [cs.LG]Compositional Affinity Propagation: When Clusters Have Compositional Structure
Jacob Whitehill, Zeqian Li
http://arxiv.org/abs/2109.04160v1

• [cs.LG]Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
http://arxiv.org/abs/2109.04353v1

• [cs.LG]DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
Antoine Chevrot, Alexandre Vernotte, Bruno Legeard
http://arxiv.org/abs/2109.04247v1

• [cs.LG]DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks
Christian Moya, Guang Lin
http://arxiv.org/abs/2109.04304v1

• [cs.LG]Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning
Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum
http://arxiv.org/abs/2109.04432v1

• [cs.LG]ECQ $今日学术视野(2021.9.11) - 图3$ : Explainability-Driven Quantization for Low-Bit and Sparse DNNs
Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin
http://arxiv.org/abs/2109.04236v1

• [cs.LG]Energy Attack: On Transferring Adversarial Examples
Ruoxi Shi, Borui Yang, Yangzhou Jiang, Chenglong Zhao, Bingbing Ni
http://arxiv.org/abs/2109.04300v1

• [cs.LG]Estimation of Corporate Greenhouse Gas Emissions via Machine Learning
You Han, Achintya Gopal, Liwen Ouyang, Aaron Key
http://arxiv.org/abs/2109.04318v1

• [cs.LG]GNisi: A graph network for reconstructing Ising models from multivariate binarized data
Emma Slade, Sonya Kiselgof, Lena Granovsky, Jeremy L. England
http://arxiv.org/abs/2109.04257v1

• [cs.LG]Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang
http://arxiv.org/abs/2109.04015v1

• [cs.LG]Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck, Tim Räz
http://arxiv.org/abs/2109.04399v1

• [cs.LG]Highly Scalable and Provably Accurate Classification in Poincare Balls
Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
http://arxiv.org/abs/2109.03781v2

• [cs.LG]Incentivizing an Unknown Crowd
Jing Dong, Shuai Li, Baoxiang Wang
http://arxiv.org/abs/2109.04226v1

• [cs.LG]Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?
Di Zhang
http://arxiv.org/abs/2109.03862v1

• [cs.LG]Learning the Physics of Particle Transport via Transformers
Oscar Pastor-Serrano, Zoltán Perkó
http://arxiv.org/abs/2109.03951v1

• [cs.LG]Local Augmentation for Graph Neural Networks
Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
http://arxiv.org/abs/2109.03856v1

• [cs.LG]Mean-Square Analysis with An Application to Optimal Dimension Dependence of Langevin Monte Carlo
Ruilin Li, Hongyuan Zha, Molei Tao
http://arxiv.org/abs/2109.03839v1

• [cs.LG]MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces
Srinagesh Sharma, Guoqing Zheng, Ahmed Hassan Awadallah
http://arxiv.org/abs/2109.04240v1

• [cs.LG]Mining Points of Interest via Address Embeddings: An Unsupervised Approach
Abhinav Ganesan, Anubhav Gupta, Jose Mathew
http://arxiv.org/abs/2109.04467v1

• [cs.LG]Model Explanations via the Axiomatic Causal Lens
Vignesh Viswanathan, Yair Zick
http://arxiv.org/abs/2109.03890v1

• [cs.LG]NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge
Xiangyu Sun, Guiliang Liu, Pascal Poupart, Oliver Schulte
http://arxiv.org/abs/2109.04286v1

• [cs.LG]Neural Latents Benchmark ‘21: Evaluating latent variable models of neural population activity
Felix Pei, Joel Ye, David Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O’Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
http://arxiv.org/abs/2109.04463v1

• [cs.LG]NeuralFMU: Towards Structural Integration of FMUs into Neural Networks
Tobias Thummerer, Josef Kircher, Lars Mikelsons
http://arxiv.org/abs/2109.04351v1

• [cs.LG]OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching
Hana Hoshino, Kei Ota, Asako Kanezaki, Rio Yokota
http://arxiv.org/abs/2109.04307v1

• [cs.LG]On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
http://arxiv.org/abs/2109.04024v1

• [cs.LG]On the use of Wasserstein metric in topological clustering of distributional data
Guénaël Cabanes, Younès Bennani, Rosanna Verde, Antonio Irpino
http://arxiv.org/abs/2109.04301v1

• [cs.LG]Position-based Ha
1489
sh Embeddings For Scaling Graph Neural Networks
Maria Kalantzi, George Karypis
http://arxiv.org/abs/2109.00101v3

• [cs.LG]PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
Ting-Han Fan, Xian Yeow Lee, Yubo Wang
http://arxiv.org/abs/2109.03970v1

• [cs.LG]Relating Graph Neural Networks to Structural Causal Models
Matej Zečević, Devendra Singh Dhami, Petar Veličković, Kristian Kersting
http://arxiv.org/abs/2109.04173v1

• [cs.LG]Robust Optimal Classification Trees Against Adversarial Examples
Daniël Vos, Sicco Verwer
http://arxiv.org/abs/2109.03857v1

• [cs.LG]SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning
Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
http://arxiv.org/abs/2109.04459v1

• [cs.LG]Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk, Georg Martius, Fanny Yang
http://arxiv.org/abs/2109.04150v1

• [cs.LG]SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
Chulhong Min, Akhil Mathur, Utku Gunay Acer, Alessandro Montanari, Fahim Kawsar
http://arxiv.org/abs/2109.03947v1

• [cs.LG]TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He
http://arxiv.org/abs/2109.04101v1

• [cs.LG]Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Valerio Basile, Federico Cabitza, Andrea Campagner, Michael Fell
http://arxiv.org/abs/2109.04270v1

• [cs.LG]Versions of Gradient Temporal Difference Learning
Donghwan Lee, Han-Dong Lim, Jihoon Park, Okyong Choi
http://arxiv.org/abs/2109.04033v1

• [cs.LG]Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup
http://arxiv.org/abs/2109.03975v1

• [cs.LG]fGOT: Graph Distances based on Filters and Optimal Transport
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
http://arxiv.org/abs/2109.04442v1

• [cs.MA]DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning
Xinwu Qian, Shuocheng Guo, Vaneet Aggarwal
http://arxiv.org/abs/2109.04149v1

• [cs.MM]Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu
http://arxiv.org/abs/2109.04260v1

• [cs.NE]ErfAct: Non-monotonic smooth trainable Activation Functions
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
http://arxiv.org/abs/2109.04386v1

• [cs.NE]Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
David M. Bossens, Danesh Tarapore
http://arxiv.org/abs/2109.03918v1

• [cs.RO]Active Multi-Object Exploration and Recognition via Tactile Whiskers
Chenxi Xiao, Shujia Xu, Wenzhuo Wu, Juan Wachs
http://arxiv.org/abs/2109.03976v1

• [cs.RO]DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem
Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti
http://arxiv.org/abs/2109.04205v1

• [cs.RO]Dynamic Locomotion Teleoperation of a Wheeled Humanoid Robot Reduced Model with a Whole-Body Human-Machine Interface
Sunyu Wang, Joao Ramos
http://arxiv.org/abs/2109.03906v1

• [cs.RO]Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba
http://arxiv.org/abs/2109.04378v1

• [cs.RO]Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload
Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Antonio Miele, Onur Mutlu, Juha Plosila
http://arxiv.org/abs/2109.04285v1

• [cs.RO]Interpretable Run-Time Prediction and Planning in Co-Robotic Environments
Rahul Peddi, Nicola Bezzo
http://arxiv.org/abs/2109.03893v1

• [cs.RO]Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization
Mona Gridseth, Timothy D. Barfoot
http://arxiv.org/abs/2109.04041v1

• [cs.RO]Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations
An T. Le, Meng Guo, Niels van Duijkeren, Leonel Rozo, Robert Krug, Andras G. Kupcsik, Mathias Buerger
http://arxiv.org/abs/2109.04222v1

• [cs.RO]Learning Vision-Guided Dynamic Locomotion Over Challenging Terrains
Zhaocheng Liu, Fernando Acero, Zhibin Li
http://arxiv.org/abs/2109.04322v1

• [cs.RO]Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics
Vince Kurtz, He Li, Patrick M. Wensing, Hai Lin
http://arxiv.org/abs/2109.04424v1

• [cs.RO]Performance, Precision, and Payloads: Adaptive Nonlinear MPC for Quadrotors
Drew Hanover, Philipp Foehn, Sihao Sun, Elia Kaufmann, Davide Scaramuzza
http://arxiv.org/abs/2109.04210v1

• [cs.RO]Robot Localization and Navigation through Predictive Processing using LiDAR
Daniel Burghardt, Pablo Lanillos
http://arxiv.org/abs/2109.04139v1

• [cs.RO]SORNet: Spatial Object-Centric Representations for Sequential Manipulation
Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox
http://arxiv.org/abs/2109.03891v1

• [cs.RO]Safe, Deterministic Trajectory Planning for Unstructured and Partially Occluded Environments
Sebastian vom Dorff, Maximilian Kneissl, Martin Fränzle
http://arxiv.org/abs/2109.04175v1

• [cs.RO]Solving Simultaneous Target Assignment and Path Planning Efficiently with Time-Independent Execution
Keisuke Okumura, Xavier Défago
http://arxiv.org/abs/2109.04264v1

• [cs.RO]Taxim: An Example-based Simulation Model for GelSight Tactile Sensors
Zilin Si, Wenzhen Yuan
http://arxiv.org/abs/2109.04027v1

• [cs.SD]BeamTransformer: Microphone Array-based Overlapping Speech Detection
Siqi Zheng, Shiliang Zhang, Weilong Huang, Qian Chen, Hongbin Suo, Ming Lei, Jinwei Feng, Zhijie Yan
http://arxiv.org/abs/2109.04049v1

• [cs.SD]DeepEMO: Deep Learning for Speech Emotion Recognition
Enkhtogtokh Togootogtokh, Christian Klasen
http://arxiv.org/abs/2109.04081v1

• [cs.SE]Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
Sina Gholamian
http://arxiv.org/abs/2109.03859v1

• [cs.SE]The challenge of reproducible ML: an empirical study on the impact of bugs
Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
http://arxiv.org/abs/2109.03991v1

• [cs.SI]QUINT: Node embedding using network hashing
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
http://arxiv.org/abs/2109.04206v1

• [cs.SI]Trust-ya: design of a multiplayer game for the study of small group processes
Jerry Huang, Joshua Jung, Neil Budnarain, Benn McGregor, Jesse Hoey
http://arxiv.org/abs/2109.04037v1

• [econ.EM]On the estimation of discrete choice models to capture irrational customer behaviors
Sanjay Dominik Jena, Andrea Lodi, Claudio Sole
http://arxiv.org/abs/2109.03882v1

• [econ.GN]Matrix Completion of World Trade
Gnecco Giorgio, Nutarelli Federico, Riccaboni Massimo
http://arxiv.org/abs/2109.03930v1

• [eess.AS]Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring
Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe
http://arxiv.org/abs/2109.04411v1

• [eess.IV]Fair Conformal Predictors for Applications in Medical Imaging
Charles Lu, Andreanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer
http://arxiv.org/abs/2109.04392v1

• [eess.IV]MRI Reconstruction Using Deep Energy-Based Model
Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang
http://arxiv.org/abs/2109.03237v2

• [eess.IV]Perceptual Learned Video Compression with Recurrent Conditional GAN
Ren Yang, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2109.03082v2

• [eess.IV]PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery
Yasmin Salehi, Dennis Giannacopoulos
http://arxiv.org/abs/rg/abs/2109.04352v1

• [eess.IV]Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks
Daniel Fernandez-Llaneza, Andrea Gondova, Harris Vince, Arijit Patra, Magdalena Zurek, Peter Konings, Patrik Kagelid, Leif Hultin
http://arxiv.org/abs/2109.04188v1

• [eess.SP]Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication
Runnan Liu, Liang Liu, Dazhi He, Wenjun Zhang, Erik G. Larsson
http://arxiv.org/abs/2109.04192v1

• [eess.SP]EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
Peng Yi, Kecheng Chen, Zhaoqi Ma, Di Zhao, Xiaorong Pu, Yazhou Ren
http://arxiv.org/abs/2109.04235v1

• [eess.SY]Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning
Brian Gaudet, Isaac Charcos, Roberto Furfaro
http://arxiv.org/abs/2109.03880v1

• [eess.SY]Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter Seiler, Ming Jin
http://arxiv.org/abs/2109.03861v1

• [math.FA]Exponential bases for partitions of intervals
Goetz Pfander, Shauna Revay, David Walnut
http://arxiv.org/abs/2109.04441v1

• [math.NA]AdjointNet: Constraining machine learning models with physics-based codes
Satish Karra, Bulbul Ahmmed, Maruti K. Mudunuru
http://arxiv.org/abs/2109.03956v1

• [math.NA]Stationary Density Estimation of Itô Diffusions Using Deep Learning
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
http://arxiv.org/abs/2109.03992v1

• [math.OC]Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics
Georgios Piliouras, Xiao Wang
http://arxiv.org/abs/2109.03974v1

• [math.OC]Coordinate Descent Methods for DC Minimization
Ganzhao Yuan
http://arxiv.org/abs/2109.04228v1

• [math.OC]Initialization for Nonnegative Matrix Factorization: a Comprehensive Review
Sajad Fathi Hafshejani, Zahra Moaberfard
http://arxiv.org/abs/2109.03874v1

• [math.OC]Iterated Vector Fields and Conservatism, with Applications to Federated Learning
Zachary Charles, Keith Rush
http://arxiv.org/abs/2109.03973v1

• [math.PR]Almost sure convergence of the accelerated weight histogram algorithm
Henrik Hult, Guo-Jhen Wu
http://arxiv.org/abs/2109.04265v1

• [math.PR]Quantitative form of Ball’s Cube slicing in $今日学术视野(2021.9.11) - 图4$ and equality cases in the min-entropy power inequality
James Melbourne, Cyril Roberto
http://arxiv.org/abs/2109.03946v1

• [math.ST]Compositional Active Inference I: Bayesian Lenses. Statistical Games
Toby St. Clere Smithe
http://arxiv.org/abs/2109.04461v1

• [math.ST]Goodness-of-Fit Testing for Hölder-Continuous Densities: Sharp Local Minimax Rates
Julien Chhor, Alexandra Carpentier
http://arxiv.org/abs/2109.04346v1

• [math.ST]Kurtosis-based projection pursuit for matrix-valued data
Una Radojicic, Klaus Nordhausen, Joni Virta
http://arxiv.org/abs/2109.04167v1

• [math.ST]Posterior Concentration Rates for Bayesian O’Sullivan Penalized Splines
Paul Bach, Nadja Klein
http://arxiv.org/abs/2109.04288v1

• [math.ST]Sharp regret bounds for empirical Bayes and compound decision problems
Yury Polyanskiy, Yihong Wu
http://arxiv.org/abs/2109.03943v1

• [q-bio.BM]Machine learning modeling of family wide enzyme-substrate specificity screens
Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley
http://arxiv.org/abs/2109.03900v1

• [q-bio.BM]Protein Folding Neural Networks Are Not Robust
Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz, Alvaro Velasquez, Susmit Jha
http://arxiv.org/abs/2109.04460v1

• [q-bio.NC]Memory semantization through perturbed and adversarial dreaming
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
http://arxiv.org/abs/2109.04261v1

• [q-fin.PR]Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
Saeed Marzban, Erick Delage, Jonathan Yumeng Li
http://arxiv.org/abs/2109.04001v1

• [q-fin.RM]SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator
Benjamin Avanzi, Gregory Clive Taylor, Melantha Wang
http://arxiv.org/abs/2109.04058v1

• [quant-ph]Quantum Machine Learning for Finance
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, Romina Yalovetzky
http://arxiv.org/abs/2109.04298v1

• [quant-ph]Simplified Quantum Algorithm for the Oracle Identification Problem
Leila Taghavi
http://arxiv.org/abs/2109.03902v1

• [stat.AP]Estimation for recurrent events through conditional estimating equations
Ioana Schiopu-Kratina, Hai Yan Liu, Mayer Alvo, Pierre-Jerome Bergeron
http://arxiv.org/abs/2109.03932v1

• [stat.AP]Simplifying small area estimation with rFIA: a demonstration of tools and techniques
Hunter Stanke, Andrew O. Finley, Grant M. Domke
http://arxiv.org/abs/2109.03863v1

• [stat.ME]Bayesian data selection
Eli N. Weinstein, Jeffrey W. Miller
http://arxiv.org/abs/2109.02712v2

• [stat.ME]Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model
Chong Zhong, Zhihua Ma, Junshan Shen, Catherine Liu
http://arxiv.org/abs/2109.03713v2

• [stat.ME]Differentially private methods for managing model uncertainty in linear regression models
Víctor Peña, Andrés F. Barrientos
http://arxiv.org/abs/2109.03949v1

• [stat.ME]Evaluation of imputation techniques with varying percentage of missing data
Seema Sangari, Herman E. Ray
http://arxiv.org/abs/2109.04227v1

• [stat.ME]Multi-population mortality forecasting using high-dimensional functional factor models
Chen Tang, Han Lin Shang, Yanrong Yang
http://arxiv.org/abs/2109.04146v1

• [stat.ME]On a quantile autoregressive conditional duration model applied to high-frequency financial data
Helton Saulo, Narayanaswamy Balakrishnan, Roberto Vila
http://arxiv.org/abs/2109.03844v1

• [stat.ME]Optimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19
Nicholas Williams, Michael Rosenblum, Iván Díaz
http://arxiv.org/abs/2109.04294v1

• [stat.ML]Adaptive importance sampling for seismic fragility curve estimation
Clement Gauchy, Cyril Feau, Josselin Garnier
http://arxiv.org/abs/2109.04323v1

• [stat.ML]Extreme Bandits using Robust Statistics
Sujay Bhatt, Ping Li, Gennady Samorodnitsky
http://arxiv.org/abs/2109.04433v1

• [stat.ML]Learning the hypotheses space from data through a U-curve algorithm: a statistically consistent complexity regularizer for Model Selection
Diego Marcondes, Adilson Simonis, Junior Barrera
http://arxiv.org/abs/2109.03866v1

• [stat.ML]Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework
Sudipto Banerjee
http://arxiv.org/abs/2109.04447v1

• [stat.ML]Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
John Koo, Minh Tang, Michael W. Trosset
http://arxiv.org/abs/2109.04010v1

• [stat.ML]Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons
Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan Nair
http://arxiv.org/abs/2109.04244v1