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.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.DS - 数据结构与算法
    cs.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.LO - 计算逻辑
    cs.MM - 多媒体
    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.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.TH - 理论经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.DS - 动力系统
    math.OC - 优化与控制
    math.PR - 概率
    math.ST - 统计理论
    physics.app-ph - 应用物理
    physics.comp-ph - 计算物理学
    q-bio.PE - 人口与发展
    quant-ph - 量子物理
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
    • [cs.AI]Centralized Model and Exploration Policy for Multi-Agent RL
    • [cs.AI]Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
    • [cs.AI]Fast and Slow Enigmas and Parental Guidance
    • [cs.AI]Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
    • [cs.AI]Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
    • [cs.AI]Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
    • [cs.AI]TEACHING — Trustworthy autonomous cyber-physical applications through human-centred intelligence
    • [cs.AI]The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity
    • [cs.CL]”How to best say it?” : Translating Directives in Machine Language into Natural Language in the Blocks World
    • [cs.CL]BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews
    • [cs.CL]Can Evolutionary Computation Help us to Crib the Voynich Manuscript ?
    • [cs.CL]Composing Conversational Negation
    • [cs.CL]Deduplicating Training Data Makes Language Models Better
    • [cs.CL]From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
    • [cs.CL]Identifying Hijacked Reviews
    • [cs.CL]Importance-based Neuron Allocation for Multilingual Neural Machine Translation
    • [cs.CL]Indonesia’s Fake News Detection using Transformer Network
    • [cs.CL]Large-Scale News Classification using BERT Language Model: Spark NLP Approach
    • [cs.CL]Learning Algebraic Recombination for Compositional Generalization
    • [cs.CL]MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
    • [cs.CL]ParCourE: A Parallel Corpus Explorer fora Massively Multilingual Corpus
    • [cs.CL]Rating Facts under Coarse-to-fine Regimes
    • [cs.CL]TSCAN : Dialog Structure discovery using SCAN
    • [cs.CL]Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
    • [cs.CL]What do writing features tell us about AI papers?
    • [cs.CL]ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
    • [cs.CR]A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
    • [cs.CV]A Convolutional Neural Network Approach to the Classification of Engineering Models
    • [cs.CV]AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
    • [cs.CV]Artificial Intelligence in PET: an Industry Perspective
    • [cs.CV]BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
    • [cs.CV]BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
    • [cs.CV]DVMN: Dense Validity Mask Network for Depth Completion
    • [cs.CV]Deep Learning based Novel View Synthesis
    • [cs.CV]Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
    • [cs.CV]Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
    • [cs.CV]Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
    • [cs.CV]Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
    • [cs.CV]Dynamic Event Camera Calibration
    • [cs.CV]Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions
    • [cs.CV]Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
    • [cs.CV]Force-in-domain GAN inversion
    • [cs.CV]GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
    • [cs.CV]Graph Jigsaw Learning for Cartoon Face Recognition
    • [cs.CV]Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
    • [cs.CV]HAT: Hierarchical Aggregation Transformers for Person Re-identification
    • [cs.CV]HDMapNet: An Online HD Map Construction and Evaluation Framework
    • [cs.CV]How Much Can CLIP Benefit Vision-and-Language Tasks?
    • [cs.CV]MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
    • [cs.CV]MSFNet:Multi-scale features network for monocular depth estimation
    • [cs.CV]Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
    • [cs.CV]PDC: Piecewise Depth Completion utilizing Superpixels
    • [cs.CV]Real-Time Pothole Detection Using Deep Learning
    • [cs.CV]Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
    • [cs.CV]Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
    • [cs.CV]Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
    • [cs.CV]SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
    • [cs.CV]Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
    • [cs.CV]Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
    • [cs.CV]Unsupervised Neural Rendering for Image Hazing
    • [cs.DC]A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU
    • [cs.DC]Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
    • [cs.DC]Consistent RDMA-Friendly Hashing on Remote Persistent Memory
    • [cs.DC]Governing Decentralized Complex Queries Through a DAO
    • [cs.DC]Model-Parallel Model Selection for Deep Learning Systems
    • [cs.DC]Simulation of Dissemination Strategies on Temporal Networks
    • [cs.DL]Adaptability and the Pivot Penalty in Science
    • [cs.DL]Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals
    • [cs.DS]Efficient Set of Vectors Search
    • [cs.DS]Oblivious sketching for logistic regression
    • [cs.DS]Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures
    • [cs.GT]An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
    • [cs.GT]Contextual Games: Multi-Agent Learning with Side Information
    • [cs.HC]WAccess — A Web Accessibility Tool based on the latest WCAG 2.2 guidelines
    • [cs.IR]COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
    • [cs.IR]Contrastive Learning for Cold-Start Recommendation
    • [cs.IR]Learning to Recommend Items to Wikidata Editors
    • [cs.IR]Linking Health News to Research Literature
    • [cs.IR]Multi-Step Critiquing User Interface for Recommender Systems
    • [cs.IR]Sequential Recommendation for Cold-start Users with Meta Transitional Learning
    • [cs.IT]A class of APcN power functions over finite fields of even characteristic
    • [cs.IT]Age of Information in Physical-Layer Network Coding Enabled Two-Way Relay Networks
    • [cs.IT]Complexity and Second Moment of the Mathematical Theory of Communication
    • [cs.IT]Mismatched Binary Hypothesis Testing: Error Exponent Sensitivity
    • [cs.IT]Optimal Power Allocation in Downlink NOMA
    • [cs.IT]Practical implementation of identification codes
    • [cs.IT]RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1?
    • [cs.IT]Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS
    • [cs.IT]Tailored Shaping, Improved Detection, Simpler Backpropagation: the Road to Nonlinearity Mitigation
    • [cs.IT]Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage
    • [cs.LG]A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
    • [cs.LG]AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
    • [cs.LG]ATTACC the Quadratic Bottleneck of Attention Layers
    • [cs.LG]CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction
    • [cs.LG]Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
    • [cs.LG]Conservative Objective Models for Effective Offline Model-Based Optimization
    • [cs.LG]Continuous vs. Discrete Optimization of Deep Neural Networks
    • [cs.LG]DIT4BEARs Smart Roads Internship
    • [cs.LG]Deep Adaptive Multi-Intention Inverse Reinforcement Learning
    • [cs.LG]Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
    • [cs.LG]Differential-Critic GAN: Generating What You Want by a Cue of Preferences
    • [cs.LG]Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
    • [cs.LG]Disparity Between Batches as a Signal for Early Stopping
    • [cs.LG]Efficient Learning of Pinball TWSVM using Privileged Information and its applications
    • [cs.LG]Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
    • [cs.LG]Fairness in Ranking under Uncertainty
    • [cs.LG]Federated Mixture of Experts
    • [cs.LG]Federated Self-Training for Semi-Supervised Audio Recognition
    • [cs.LG]Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
    • [cs.LG]Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
    • [cs.LG]Going Beyond Linear RL: Sample Efficient Neural Function Approximation
    • [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
    • [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
    • [cs.LG]IFedAvg: Interpretable Data-Interoperability for Federated Learning
    • [cs.LG]Inverse Contextual Bandits: Learning How Behavior Evolves over Time
    • [cs.LG]Learnability of Learning Performance and Its Application to Data Valuation
    • [cs.LG]Learning interaction rules from multi-animal trajectories via augmented behavioral models
    • [cs.LG]MESS: Manifold Embedding Motivated Super Sampling
    • [cs.LG]On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
    • [cs.LG]Online Evaluation Methods for the Causal Effect of Recommendations
    • [cs.LG]Safer Reinforcement Learning through Transferable Instinct Networks
    • [cs.LG]Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
    • [cs.LG]Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
    • [cs.LG]The Foes of Neural Network’s Data Efficiency Among Unnecessary Input Dimensions
    • [cs.LG]Thinkback: Task-SpecificOut-of-Distribution Detection
    • [cs.LG]Tourbillon: a Physically Plausible Neural Architecture
    • [cs.LG]Zero-Round Active Learning
    • [cs.LO]Improved SAT models for NFA learning
    • [cs.MM]High-Speed and High-Quality Text-to-Lip Generation
    • [cs.MM]RCLC: ROI-based joint conventional and learning video compression
    • [cs.MM]Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
    • [cs.NE]Hierarchical Associative Memory
    • [cs.NE]Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem
    • [cs.NI]QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
    • [cs.RO]AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving
    • [cs.RO]DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI
    • [cs.RO]Distributionally Robust Policy Learning via Adversarial Environment Generation
    • [cs.RO]Efficient and Reactive Planning for High Speed Robot Air Hockey
    • [cs.RO]FAST-LIO2: Fast Direct LiDAR-inertial Odometry
    • [cs.RO]Model-free Reinforcement Learning for Robust Locomotion Using Trajectory Optimization for Exploration
    • [cs.RO]Probabilistic Human Motion Prediction via A Bayesian Neural Network
    • [cs.RO]Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments
    • [cs.RO]Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
    • [cs.SD]Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
    • [cs.SE]DeepMutants: Training neural bug detectors with contextual mutations
    • [cs.SE]MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence
    • [cs.SI]Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
    • [cs.SI]Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
    • [cs.SI]Information Spread with Error Correction
    • [econ.TH]A Smoothed Impossibility Theorem on Condorcet Criterion and Participation
    • [eess.IV]Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation
    • [eess.IV]Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
    • [eess.IV]Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
    • [eess.IV]Meta-Optimization of Deep CNN for Image Denoising Using LSTM
    • [eess.IV]Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
    • [eess.SP]Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
    • [eess.SY]A Particle Filter Approach to Power System Line Outage Detection Using Load and Generator Bus Dynamics
    • [math.DS]A Framework for Machine Learning of Model Error in Dynamical Systems
    • [math.OC]A Granular Sieving Algorithm for Deterministic Global Optimization
    • [math.OC]Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
    • [math.PR]Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering
    • [math.PR]Spectral Recovery of Binary Censored Block Models
    • [math.ST]Convergence rates of vector-valued local polynomial regression
    • [math.ST]Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
    • [math.ST]Extended L-ensembles: a new representation for Determinantal Point Processes
    • [math.ST]New Developments on the Non-Central Chi-Squared and Beta Distributions
    • [physics.app-ph]Resonant Tunnelling Diode Nano-Optoelectronic Spiking Nodes For Neuromorphic Information Processing
    • [physics.comp-ph]3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami
    • [q-bio.PE]Total Effect Analysis of Vaccination on Household Transmission in the Office for National Statistics COVID-19 Infection Survey
    • [quant-ph]A Theoretical Framework for Learning from Quantum Data
    • [stat.ME]Bayesian Lifetime Regression with Multi-type Group-shared Latent Heterogeneity
    • [stat.ME]Bayesian Semiparametric Multivariate Density Deconvolution via Stochastic Rotation of Replicates
    • [stat.ME]Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical data
    • [stat.ME]For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
    • [stat.ME]Graphical Laplace-approximated maximum likelihood estimation: approximated likelihood inference for network data analysis
    • [stat.ME]Method of Moments Confidence Intervals for a Semi-Supervised Two-Component Mixture Model
    • [stat.ME]On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
    • [stat.ME]Planning a method for covariate adjustment in individually-randomised trials: a practical guide
    • [stat.ME]Survey data integration for regression analysis using model calibration
    • [stat.ME]Time Series Estimation of the Dynamic Effects of Disaster-Type Shock
    • [stat.ML]M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond
    • [stat.ML]Spectrum Gaussian Processes Based On Tunable Basis Functions

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

    • [cs.AI]A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
    Wenqi Zeng, Siqin Cao, Xuhui Huang, Yuan Yao
    http://arxiv.org/abs/2107.06573v1

    • [cs.AI]Centralized Model and Exploration Policy for Multi-Agent RL
    Qizhen Zhang, Chris Lu, Animesh Garg, Jakob Foerster
    http://arxiv.org/abs/2107.06434v1

    • [cs.AI]Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
    Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
    http://arxiv.org/abs/2107.06329v1

    • [cs.AI]Fast and Slow Enigmas and Parental Guidance
    Zarathustra Goertzel, Karel Chvalovský, Jan Jakubův, Miroslav Olšák, Josef Urban
    http://arxiv.org/abs/2107.06750v1

    • [cs.AI]Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
    Dylan Klein, Akansel Cosgun
    http://arxiv.org/abs/2107.06840v1

    • [cs.AI]Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
    Guilherme Paulino-Passos, Francesca Toni
    http://arxiv.org/abs/2107.06413v1

    • [cs.AI]Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
    Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint
    http://arxiv.org/abs/2107.06661v1

    • [cs.AI]TEACHING — Trustworthy autonomous cyber-physical applications through human-centred intelligence
    Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassara, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabò, Jakob Valtl, Iraklis Varlamis, Omar Veledar
    http://arxiv.org/abs/2107.06543v1

    • [cs.AI]The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity
    Barbara Magagna, Ilaria Rosati, Maria Stoica, Sirko Schindler, Gwenaelle Moncoiffe, Anusuriya Devaraju, Johannes Peterseil, Robert Huber
    http://arxiv.org/abs/2107.06547v1

    • [cs.CL]“How to best say it?” : Translating Directives in Machine Language into Natural Language in the Blocks World
    Sujeong Kim, Amir Tamrakar
    http://arxiv.org/abs/2107.06886v1

    • [cs.CL]BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews
    Kuncahyo Setyo Nugroho, Anantha Yullian Sukmadewa, Haftittah Wuswilahaken DW, Fitra Abdurrachman Bachtiar, Novanto Yudistira
    http://arxiv.org/abs/2107.06802v1

    • [cs.CL]Can Evolutionary Computation Help us to Crib the Voynich Manuscript ?
    Daniel Devatman Hromada
    http://arxiv.org/abs/2107.05381v1

    • [cs.CL]Composing Conversational Negation
    Razin A. Shaikh, Lia Yeh, Benjamin Rodatz, Bob Coecke
    http://arxiv.org/abs/2107.06820v1

    • [cs.CL]Deduplicating Training Data Makes Language Models Better
    Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini
    http://arxiv.org/abs/2107.06499v1

    • [cs.CL]From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
    Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi
    http://arxiv.org/abs/2107.06483v1

    • [cs.CL]Identifying Hijacked Reviews
    Monika Daryani, James Caverlee
    http://arxiv.org/abs/2107.05385v1

    • [cs.CL]Importance-based Neuron Allocation for Multilingual Neural Machine Translation
    Wanying Xie, Yang Feng, Shuhao Gu, Dong Yu
    http://arxiv.org/abs/2107.06569v1

    • [cs.CL]Indonesia’s Fake News Detection using Transformer Network
    Aisyah Awalina, Jibran Fawaid, Rifky Yunus Krisnabayu, Novanto Yudistira
    http://arxiv.org/abs/2107.06796v1

    • [cs.CL]Large-Scale News Classification using BERT Language Model: Spark NLP Approach
    Kuncahyo Setyo Nugroho, Kuncahyo Setyo Nugroho, Novanto Yudistira
    http://arxiv.org/abs/2107.06785v1

    • [cs.CL]Learning Algebraic Recombination for Compositional Generalization
    Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
    http://arxiv.org/abs/2107.06516v1

    • [cs.CL]MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
    Jingwen Hu, Yuchen Liu, Jinming Zhao, Qin Jin
    http://arxiv.org/abs/2107.06779v1

    • [cs.CL]ParCourE: A Parallel Corpus Explorer fora Massively Multilingual Corpus
    Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter, Michael Cysouw, Hinrich Schütze
    http://arxiv.org/abs/2107.06632v1

    • [cs.CL]Rating Facts under Coarse-to-fine Regimes
    Guojun Wu
    http://arxiv.org/abs/2107.06051v2

    • [cs.CL]TSCAN : Dialog Structure discovery using SCAN
    Apurba Nath, Aayush Kubba
    http://arxiv.org/abs/2107.06426v1

    • [cs.CL]Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
    Sergio Rojas-Galeano
    http://arxiv.org/abs/2107.06400v1

    • [cs.CL]What do writing features tell us about AI papers?
    Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz
    http://arxiv.org/abs/2107.06310v1

    • [cs.CL]ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
    Afra Alishahia, Grzegorz Chrupała, Alejandrina Cristia, Emmanuel Dupoux, Bertrand Higy, Marvin Lavechin, Okko Räsänen, Chen Yu
    http://arxiv.org/abs/2107.06546v1

    • [cs.CR]A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
    Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich
    http://arxiv.org/abs/2107.06578v1

    • [cs.CV]A Convolutional Neural Network Approach to the Classification of Engineering Models
    Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy
    http://arxiv.org/abs/2107.06481v1

    • [cs.CV]AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
    Yihao Huang, Qing Guo, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu
    http://arxiv.org/abs/2107.06501v1

    • [cs.CV]Artificial Intelligence in PET: an Industry Perspective
    Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans
    http://arxiv.org/abs/2107.06747v1

    • [cs.CV]BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
    Tuomo Lahtinen, Hannu Turtiainen, Andrei Costin
    http://arxiv.org/abs/2107.06351v1

    • [cs.CV]BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
    Hao Chang, Guochen Xie, Jun Yu, Qiang Ling
    http://arxiv.org/abs/2107.06768v1

    • [cs.CV]DVMN: Dense Validity Mask Network for Depth Completion
    Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller
    http://arxiv.org/abs/2107.06709v1

    • [cs.CV]Deep Learning based Novel View Synthesis
    Amit More, Subhasis Chaudhuri
    http://arxiv.org/abs/2107.06812v1

    • [cs.CV]Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
    Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche
    http://arxiv.org/abs/2107.05780v1

    • [cs.CV]Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
    Suneung-Kim, Seong-Whan Lee
    http://arxiv.org/abs/2107.06530v1

    • [cs.CV]Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
    Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian Leahy, Helen Yang, Alexander Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
    http://arxiv.org/abs/2107.06360v1

    • [cs.CV]Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
    Young Eun Kim, Seong-Whan Lee
    http://arxiv.org/abs/2107.06552v1

    • [cs.CV]Dynamic Event Camera Calibration
    Kun Huang, Yifu Wang, Laurent Kneip
    http://arxiv.org/abs/2107.06749v1

    • [cs.CV]Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions
    Tiago Roxo, Hugo Proença
    http://arxiv.org/abs/2107.06847v1

    • [cs.CV]Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
    Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu
    http://arxiv.org/abs/2107.06505v1

    • [cs.CV]Force-in-domain GAN inversion
    Guangjie Leng, Yekun Zhu, Zhi-Qin John Xu
    http://arxiv.org/abs/2107.06050v2

    • [cs.CV]GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
    Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Chengwei Pan, Jinpeng Li, Huiguang He, Licheng Jiao
    http://arxiv.org/abs/2107.06442v1

    • [cs.CV]Graph Jigsaw Learning for Cartoon Face Recognition
    Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang
    http://arxiv.org/abs/2107.06532v1

    • [cs.CV]Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
    Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann
    http://arxiv.org/abs/2107.06325v1

    • [cs.CV]HAT: Hierarchical Aggregation Transformers for Person Re-identification
    Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu
    http://arxiv.org/abs/2107.05946v2

    • [cs.CV]HDMapNet: An Online HD Map Construction and Evaluation Framework
    Qi Li, Yue Wang, Yilun Wang, Hang Zhao
    http://arxiv.org/abs/2107.06307v1

    • [cs.CV]How Much Can CLIP Benefit Vision-and-Language Tasks?
    Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
    http://arxiv.org/abs/2107.06383v1

    • [cs.CV]MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
    Haocheng Ren, Hao Zhang, Jia Zheng, Jiaxiang Zheng, Rui Tang, Rui Wang, Hujun Bao
    http://arxiv.org/abs/2107.06149v2

    • [cs.CV]MSFNet:Multi-scale features network for monocular depth estimation
    Meiqi Pei
    http://arxiv.org/abs/2107.06445v1

    • [cs.CV]Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
    Nasir Hayat, Hazem Lashen, Farah E. Shamout
    http://arxiv.org/abs/2107.06563v1

    • [cs.CV]PDC: Piecewise Depth Completion utilizing Superpixels
    Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller
    http://arxiv.org/abs/2107.06711v1

    • [cs.CV]Real-Time Pothole Detection Using Deep Learning
    Anas Al Shaghouri, Rami Alkhatib, Samir Berjaoui
    http://arxiv.org/abs/2107.06356v1

    • [cs.CV]Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
    Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang
    http://arxiv.org/abs/
    5aca
    /2107.05904v1
    5aca
    /2107.05904v1)

    • [cs.CV]Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
    Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman
    http://arxiv.org/abs/2107.06652v1

    • [cs.CV]Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
    Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan
    http://arxiv.org/abs/2107.06735v1

    • [cs.CV]SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
    Mitchell Doughty, Karan Singh, Nilesh R. Ghugre
    http://arxiv.org/abs/2107.06397v1

    • [cs.CV]Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
    Christian Bartz, Hendrik Rätz, Haojin Yang, Joseph Bethge, Christoph Meinel
    http://arxiv.org/abs/2107.06777v1

    • [cs.CV]Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
    Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou
    http://arxiv.org/abs/2107.06707v1

    • [cs.CV]Unsupervised Neural Rendering for Image Hazing
    Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng
    http://arxiv.org/abs/2107.06681v1

    • [cs.DC]A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU
    Jesmin Jahan Tithi, Fabrizio Petrini
    http://arxiv.org/abs/2107.06433v1

    • [cs.DC]Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
    Shaohuai Shi, Lin Zhang, Bo Li
    http://arxiv.org/abs/2107.06533v1

    • [cs.DC]Consistent RDMA-Friendly Hashing on Remote Persistent Memory
    Xinxin Liu, Yu Hua, Rong Bai
    http://arxiv.org/abs/2107.06836v1

    • [cs.DC]Governing Decentralized Complex Queries Through a DAO
    Mirko Zichichi, Luca Serena, Stefano Ferretti, Gabriele D’Angelo
    http://arxiv.org/abs/2107.06790v1

    • [cs.DC]Model-Parallel Model Selection for Deep Learning Systems
    Kabir Nagrecha
    http://arxiv.org/abs/2107.06469v1

    • [cs.DC]Simulation of Dissemination Strategies on Temporal Networks
    Luca Serena, Mirko Zichichi, Gabriele D’Angelo, Stefano Ferretti
    http://arxiv.org/abs/2107.06771v1

    • [cs.DL]Adaptability and the Pivot Penalty in Science
    Ryan Hill, Yian Yin, Carolyn Stein, Dashun Wang, Benjamin F. Jones
    http://arxiv.org/abs/2107.06476v1

    • [cs.DL]Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals
    Guillaume Cabanac, Cyril Labbé, Alexander Magazinov
    http://arxiv.org/abs/2107.06751v1

    • [cs.DS]Efficient Set of Vectors Search
    Michael Leybovich, Oded Shmueli
    http://arxiv.org/abs/2107.06817v1

    • [cs.DS]Oblivious sketching for logistic regression
    Alexander Munteanu, Simon Omlor, David Woodruff
    http://arxiv.org/abs/2107.06615v1

    • [cs.DS]Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures
    Yair Bartal, Ora Nova Fandina, Kasper Green Larsen
    http://arxiv.org/abs/2107.06626v1

    • [cs.GT]An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
    Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
    http://arxiv.org/abs/2107.06650v1

    • [cs.GT]Contextual Games: Multi-Agent Learning with Side Information
    Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
    http://arxiv.org/abs/2107.06327v1

    • [cs.HC]WAccess — A Web Accessibility Tool based on the latest WCAG 2.2 guidelines
    Kowndinya Boyalakuntla, Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
    http://arxiv.org/abs/2107.06799v1

    • [cs.IR]COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
    Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mehdi Allahyari
    http://arxiv.org/abs/2107.05722v2

    • [cs.IR]Contrastive Learning for Cold-Start Recommendation
    Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua
    http://arxiv.org/abs/2107.05315v2

    • [cs.IR]Learning to Recommend Items to Wikidata Editors
    Kholoud AlGhamdi, Miaojing Shi, Elena Simperl
    http://arxiv.org/abs/2107.06423v1

    • [cs.IR]Linking Health News to Research Literature
    Jun Wang, Bei Yu
    http://arxiv.org/abs/2107.06472v1

    • [cs.IR]Multi-Step Critiquing User Interface for Recommender Systems
    Diana Petrescu, Diego Antognini, Boi Faltings
    http://arxiv.org/abs/2107.06416v1

    • [cs.IR]Sequential Recommendation for Cold-start Users with Meta Transitional Learning
    Jianling Wang, Kaize Ding, James Caverlee
    http://arxiv.org/abs/2107.06427v1

    • [cs.IT]A class of APcN power functions over finite fields of even characteristic
    Ziran Tu, Xiangyong Zeng, Yupeng Jiang, Xiaohu Tang
    http://arxiv.org/abs/2107.06464v1

    • [cs.IT]Age of Information in Physical-Layer Network Coding Enabled Two-Way Relay Networks
    Haoyuan Pan, Tse-Tin Chan, Victor C. M. Leung, Jianqiang Li
    http://arxiv.org/abs/2107.06537v1

    • [cs.IT]Complexity and Second Moment of the Mathematical Theory of Communication
    Hsin-Po Wang
    http://arxiv.org/abs/2107.06420v1

    • [cs.IT]Mismatched Binary Hypothesis Testing: Error Exponent Sensitivity
    Parham Boroumand, Albert Guillén i Fàbregas
    http://arxiv.org/abs/2107.06679v1

    • [cs.IT]Optimal Power Allocation in Downlink NOMA
    Sepehr Rezvani, Eduard A. Jorswieck, Roghayeh Joda, Halim Yanikomeroglu
    http://arxiv.org/abs/2107.06678v1

    • [cs.IT]Practical implementation of identification codes
    Roberto Ferrara, Luis Torres-Figueroa, Holger Boche, Christian Deppe, Wafa Labidi, Ullrich Mönich, Andrei Vlad-Costin
    http://arxiv.org/abs/2107.06801v1

    • [cs.IT]RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1?
    Jungang Ge, Ying-Chang Liang
    http://arxiv.org/abs/2107.06525v1

    • [cs.IT]Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS
    Joonas Kokkoniemi, Markku Juntti
    http://arxiv.org/abs/2107.06382v1

    • [cs.IT]Tailored Shaping, Improved Detection, Simpler Backpropagation: the Road to Nonlinearity Mitigation
    Marco Secondini, Stella Civelli, Enrico Forestieri
    http://arxiv.org/abs/2107.06589v1

    • [cs.IT]Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage
    Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry D. Pfister, Sergey Yekhanin
    http://arxiv.org/abs/2107.06440v1

    • [cs.LG]A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
    Maitreyee Wairagkar, Emma Villeneuve, Rachel King, Balazs Janko, Malcolm Burnett, Ann Ashburn, Veena Agarwal, R. Simon Sherratt, William Holderbaum, William Harwin
    http://arxiv.org/abs/2107.06859v1

    • [cs.LG]AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
    Duhun Hwang, Eunjung Lee, Wonjong Rhee
    http://arxiv.org/abs/2107.06456v1

    • [cs.LG]ATTACC the Quadratic Bottleneck of Attention Layers
    Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
    http://arxiv.org/abs/2107.06419v1

    • [cs.LG]CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction
    Dingcheng Yang, Wenjian Yu, Yuanbo Guo, Wenjie Liang
    http://arxiv.org/abs/2107.06511v1

    • [cs.LG]Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
    Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
    http://arxiv.org/abs/2107.06548v1

    • [cs.LG]Conservative Objective Models for Effective Offline Model-Based Optimization
    Brandon Trabucco, Aviral Kumar, Xinyang Geng, Sergey Levine
    http://arxiv.org/abs/2107.06882v1

    • [cs.LG]Continuous vs. Discrete Optimization of Deep Neural Networks
    Omer Elkabetz, Nadav Cohen
    http://arxiv.org/abs/2107.06608v1

    • [cs.LG]DIT4BEARs Smart Roads Internship
    Md. Abrar Jahin, Andrii Krutsylo
    http://arxiv.org/abs/2107.06755v1

    • [cs.LG]Deep Adaptive Multi-Intention Inverse Reinforcement Learning
    Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman
    http://arxiv.org/abs/2107.06692v1

    • [cs.LG]Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
    Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
    http://arxiv.org/abs/2107.06304v1

    • [cs.LG]Differential-Critic GAN: Generating What You Want by a Cue of Preferences
    Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
    http://arxiv.org/abs/2107.06700v1

    • [cs.LG]Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
    Raef Bassily, Cristóbal Guzmán, Michael Menart
    http://arxiv.org/abs/2107.05585v2

    • [cs.LG]Disparity Between Batches as a Signal for Early Stopping
    Mahsa Forouzesh, Patrick Thiran
    http://arxiv.org/abs/2107.06665v1

    • [cs.LG]Efficient Learning of Pinball TWSVM using Privileged Information and its applications
    Reshma Rastogi, Aman Pal
    http://arxiv.org/abs/2107.06744v1

    • [cs.LG]Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
    Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell Watson
    http://arxiv.org/abs/2107.06846v1

    • [cs.LG]Fairness in Ranking under Uncertainty
    Ashudeep Singh, David Kempe, Thorsten Joachims
    http://arxiv.org/abs/2107.06720v1

    • [cs.LG]Federated Mixture of Experts
    Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling
    http://arxiv.org/abs/2107.06724v1

    • [cs.LG]Federated Self-Training for Semi-Supervised Audio Recognition
    Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi
    http://arxiv.org/abs/2107.06877v1

    • [cs.LG]Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
    Patryk Orzechowski, Jason H. Moore
    http://arxiv.org/abs/2107.06475v1

    • [cs.LG]Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
    Susama Agarwala, Benjamin Dees, Andrew Gearhart, Corey Lowman
    http://arxiv.org/abs/2107.06386v1

    • [cs.LG]Going Beyond Linear RL: Sample Efficient Neural Function Approximation
    Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
    http://arxiv.org/abs/2107.06466v1

    • [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
    Martin Svedin, Artur Podobas, Steven W. D. Chien, Stefano Markidis
    http://arxiv.org/abs/2107.06676v1

    • [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
    Martin Svedin, Artur Podobas, Steven W. D. Chien, Stefano Markidis
    http://arxiv.org/abs/
    6319
    2107.06676v1
    6319
    2107.06676v1)

    • [cs.LG]IFedAvg: Interpretable Data-Interoperability for Federated Learning
    David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi
    http://arxiv.org/abs/2107.06580v1

    • [cs.LG]Inverse Contextual Bandits: Learning How Behavior Evolves over Time
    Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
    http://arxiv.org/abs/2107.06317v1

    • [cs.LG]Learnability of Learning Performance and Its Application to Data Valuation
    Tianhao Wang, Yu Yang, Ruoxi Jia
    http://arxiv.org/abs/2107.06336v1

    • [cs.LG]Learning interaction rules from multi-animal trajectories via augmented behavioral models
    Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
    http://arxiv.org/abs/2107.05326v2

    • [cs.LG]MESS: Manifold Embedding Motivated Super Sampling
    Erik Thordsen, Erich Schubert
    http://arxiv.org/abs/2107.06566v1

    • [cs.LG]On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
    Julian Theis, Ilia Mokhtarian, Houshang Darabi
    http://arxiv.org/abs/2107.06319v1

    • [cs.LG]Online Evaluation Methods for the Causal Effect of Recommendations
    Masahiro Sato
    http://arxiv.org/abs/2107.06630v1

    • [cs.LG]Safer Reinforcement Learning through Transferable Instinct Networks
    Djordje Grbic, Sebastian Risi
    http://arxiv.org/abs/2107.06686v1

    • [cs.LG]Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
    Johannes Klicpera, Marten Lienen, Stephan Günnemann
    http://arxiv.org/abs/2107.06876v1

    • [cs.LG]Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
    Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
    http://arxiv.org/abs/2107.06405v1

    • [cs.LG]The Foes of Neural Network’s Data Efficiency Among Unnecessary Input Dimensions
    Vanessa D’Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix
    http://arxiv.org/abs/2107.06409v1

    • [cs.LG]Thinkback: Task-SpecificOut-of-Distribution Detection
    Lixuan Yang, Dario Rossi
    http://arxiv.org/abs/2107.06668v1

    • [cs.LG]Tourbillon: a Physically Plausible Neural Architecture
    Mohammadamin Tavakoli, Pierre Baldi, Peter Sadowski
    http://arxiv.org/abs/2107.06424v1

    • [cs.LG]Zero-Round Active Learning
    Si Chen, Tianhao Wang, Ruoxi Jia
    http://arxiv.org/abs/2107.06703v1

    • [cs.LO]Improved SAT models for NFA learning
    Frédéric Lardeux, Eric Monfroy
    http://arxiv.org/abs/2107.06672v1

    • [cs.MM]High-Speed and High-Quality Text-to-Lip Generation
    Jinglin Liu, Zhiying Zhu, Yi Ren, Zhou Zhao
    http://arxiv.org/abs/2107.06831v1

    • [cs.MM]RCLC: ROI-based joint conventional and learning video compression
    Trinh Man Hoang, Jinjia Zhou
    http://arxiv.org/abs/2107.06492v1

    • [cs.MM]Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
    Xinda Liu, Lili Wang, Xiaoguang Han
    http://arxiv.org/abs/2107.06538v1

    • [cs.NE]Hierarchical Associative Memory
    Dmitry Krotov
    http://arxiv.org/abs/2107.06446v1

    • [cs.NE]Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem
    Jiongzhi Zheng, Menglei Chen, Jialun Zhong, Kun He
    http://arxiv.org/abs/2107.06870v1

    • [cs.NI]QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
    Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi
    http://arxiv.org/abs/2107.06570v1

    • [cs.RO]AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving
    Masaya Mizutani, Manabu Tsukada, Hiroshi Esaki
    http://arxiv.org/abs/2107.06627v1

    • [cs.RO]DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI
    Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans
    http://arxiv.org/abs/2107.06875v1

    • [cs.RO]Distributionally Robust Policy Learning via Adversarial Environment Generation
    Allen Z. Ren, Anirudha Majumdar
    http://arxiv.org/abs/2107.06353v1

    • [cs.RO]Efficient and Reactive Planning for High Speed Robot Air Hockey
    Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
    http://arxiv.org/abs/2107.06140v2

    • [cs.RO]FAST-LIO2: Fast Direct LiDAR-inertial Odometry
    Wei Xu, Yixi Cai, Dongjiao He, Jiarong Lin, Fu Zhang
    http://arxiv.org/abs/2107.06829v1

    • [cs.RO]Model-free Reinforcement Learning for Robust Locomotion Using Trajectory Optimization for Exploration
    Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti
    http://arxiv.org/abs/2107.06629v1

    • [cs.RO]Probabilistic Human Motion Prediction via A Bayesian Neural Network
    Jie Xu, Xingyu Chen, Xuguang Lan, Nanning Zheng
    http://arxiv.org/abs/2107.06564v1

    • [cs.RO]Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments
    Inkyu Jang, Dongjae Lee, Seungjae Lee, H. Jin Kim
    http://arxiv.org/abs/2107.06484v1

    • [cs.RO]Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
    Jungseok Hong, Karin de Langis, Cole Wyeth, Christopher Walaszek, Junaed Sattar
    http://arxiv.org/abs/2107.06401v1

    • [cs.SD]Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
    Hongning Zhu, Kong Aik Lee, Haizhou Li
    http://arxiv.org/abs/2107.06493v1

    • [cs.SE]DeepMutants: Training neural bug detectors with contextual mutations
    Cedric Richter, Heike Wehrheim
    http://arxiv.org/abs/2107.06657v1

    • [cs.SE]MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence
    Armin Moin, Moharram Challenger, Atta Badii, Stephan Günnemann
    http://arxiv.org/abs/2107.06708v1

    • [cs.SI]Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
    Lakmal Meegahapola, Florian Labhart, Thanh-Trung Phan, Daniel Gatica-Perez
    http://arxiv.org/abs/2107.06302v1

    • [cs.SI]Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
    Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
    http://arxiv.org/abs/2107.05992v2

    • [cs.SI]Information Spread with Error Correction
    Omri Ben-Eliezer, Elchanan Mossel, Madhu Sudan
    http://arxiv.org/abs/2107.06362v1

    • [econ.TH]A Smoothed Impossibility Theorem on Condorcet Criterion and Participation
    Lirong Xia
    http://arxiv.org/abs/2107.06435v1

    • [eess.IV]Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation
    Camila Gonzalez, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
    http://arxiv.org/abs/2107.05975v2

    • [eess.IV]Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
    Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel C. Castro
    http://arxiv.org/abs/2107.06618v1

    • [eess.IV]Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
    Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han
    http://arxiv.org/abs/2107.06463v1

    • [eess.IV]Meta-Optimization of Deep CNN for Image Denoising Using LSTM
    Basit O. Alawode, Motaz Alfarraj
    http://arxiv.org/abs/2107.06845v1

    • [eess.IV]Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
    Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia
    http://arxiv.org/abs/2107.06536v1

    • [eess.SP]Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
    M. A. Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Sławomir Stańczak
    http://arxiv.org/abs/2107.06677v1

    • [eess.SY]A Particle Filter Approach to Power System Line Outage Detection Using Load and Generator Bus Dynamics
    Xiaozhou Yang, Nan Chen, Chao Zhai
    http://arxiv.org/abs/2107.06754v1

    • [math.DS]A Framework for Machine Learning of Model Error in Dynamical Systems
    Matthew E. Levine, Andrew M. Stuart
    http://arxiv.org/abs/2107.06658v1

    • [math.OC]A Granular Sieving Algorithm for Deterministic Global Optimization
    Tao Qian, Lei Dai, Liming Zhang, Zehua Chen
    http://arxiv.org/abs/2107.06581v1

    • [math.OC]Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
    Zeeshan Akhtar, Ketan Rajawat
    http://arxiv.org/abs/2107.06534v1

    • [math.PR]Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering
    Michele Coghi, Torstein Nilssen, Nikolas Nüsken
    http://arxiv.org/abs/2107.06621v1

    • [math.PR]Spectral Recovery of Binary Censored Block Models
    Souvik Dhara, Julia Gaudio, Elchanan Mossel, Colin Sandon
    http://arxiv.org/abs/2107.06338v1

    • [math.ST]Convergence rates of vector-valued local polynomial regression
    Yariv Aizenbud, Barak Sober
    http://arxiv.org/abs/2107.05852v2

    • [math.ST]Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
    Miklos Z. Racz, Anirudh Sridhar
    http://arxiv.org/abs/2107.06767v1

    • [math.ST]Extended L-ensembles: a new representation for Determinantal Point Processes
    Nicolas Tremblay, Simon Barthelmé, Konstantin Usevich, Pierre-Olivier Amblard
    http://arxiv.org/abs/2107.06345v1

    • [math.ST]New Developments on the Non-Central Chi-Squared and Beta Distributions
    Carlo Orsi
    http://arxiv.org/abs/2107.06689v1

    • [physics.app-ph]Resonant Tunnelling Diode Nano-Optoelectronic Spiking Nodes For Neuromorphic Information Processing
    Matěj Hejda, Juan Arturo Alanis, Ignacio Ortega-Piwonka, João Lourenço, José Figueiredo, Julien Javaloyes, Bruno Romeira, Antonio Hurtado
    http://arxiv.org/abs/2107.06721v1

    • [physics.comp-ph]3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami
    Lukas Krenz, Carsten Uphoff, Thomas Ulrich, Alice-Agnes Gabriel, Lauren S. Abrahams, Eric M. Dunham, Michael Bader
    http://arxiv.org/abs/2107.06640v1

    • [q-bio.PE]Total Effect Analysis of Vaccination on Household Transmission in the Office for National Statistics COVID-19 Infection Survey
    Thomas House, Lorenzo Pellis, Emma Pritchard, Angela R. McLean, A. Sarah Walker
    http://arxiv.org/abs/2107.06545v1

    • [quant-ph]A Theoretical Framework for Learning from Quantum Data
    Mohsen Heidari, Arun Padakandla, Wojciech Szpankowski
    http://arxiv.org/abs/2107.06406v1

    • [stat.ME]Bayesian Lifetime Regression with Multi-type Group-shared Latent Heterogeneity
    Xuxue Sun, Mingyang Li
    http://arxiv.org/abs/2107.06539v1

    • [stat.ME]Bayesian Semiparametric Multivariate Density Deconvolution via Stochastic Rotation of Replicates
    Arkaprava Roy, Abhra Sarkar
    http://arxiv.org/abs/2107.06436v1

    • [stat.ME]Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical data
    Anthony R McIntosh
    http://arxiv.org/abs/2107.06867v1

    • [stat.ME]For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
    Brian L. Trippe, Hilary K. Finucane, Tamara Broderick
    http://arxiv.org/abs/2107.06428v1

    • [stat.ME]Graphical Laplace-approximated maximum likelihood estimation: approximated likelihood inference for network data analysis
    Chaonan Jiang, Davide La Vecchia, Riccardo Rastelli
    http://arxiv.org/abs/2107.05915v2

    • [stat.ME]Method of Moments Confidence Intervals for a Semi-Supervised Two-Component Mixture Model
    Bradley Lubich, Daniel Jeske, Weixin Yao
    http://arxiv.org/abs/2107.06503v1

    • [stat.ME]On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
    Xin Chen, Rui Song, Jiajia Zhang, Swann Arp Adams, Liuquan Sun, Wenbin Lu
    http://arxiv.org/abs/2107.04839v2

    • [stat.ME]Planning a method for covariate adjustment in individually-randomised trials: a practical guide
    Tim P. Morris, A. Sarah Walker, Elizabeth J. Williamson, Ian R. White
    http://arxiv.org/abs/2107.06398v1

    • [stat.ME]Survey data integration for regression analysis using model calibration
    Hang J. Kim, Zhonglei Wang, Jae Kwang Kim
    http://arxiv.org/abs/2107.06448v1

    • [stat.ME]Time Series Estimation of the Dynamic Effects of Disaster-Type Shock
    Richard Davis, Serena Ng
    http://arxiv.org/abs/2107.06663v1

    • [stat.ML]M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond
    Florian Ziel
    http://arxiv.org/abs/2107.06675v1

    • [stat.ML]Spectrum Gaussian Processes Based On Tunable Basis Functions
    Wenqi Fang, Guanlin Wu, Jingjing Li, Zheng Wang, Jiang Cao, Yang Ping
    http://arxiv.org/abs/2107.06473v1