cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.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
    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.OC - 优化与控制
    math.ST - 统计理论
    q-bio.PE - 人口与发展
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems
    • [cs.AI]Reasoning about Counterfactuals and Explanations: Problems, Results and Directions
    • [cs.AI]Subgoal Search For Complex Reasoning Tasks
    • [cs.CL]Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain
    • [cs.CL]Hybrid Multisource Feature Fusion for the Text Clustering
    • [cs.CL]Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens
    • [cs.CL]Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy
    • [cs.CL]Ontology-Enhanced Slot Filling
    • [cs.CL]ProoFVer: Natural Logic Theorem Proving for Fact Verification
    • [cs.CL]Robustness Evaluation of Entity Disambiguation Using Prior Probes:the Case of Entity Overshadowing
    • [cs.CL]SN Computer Science: Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
    • [cs.CL]The State of SLIVAR: What’s next for robots, human-robot interaction, and (spoken) dialogue systems?
    • [cs.CL]Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering
    • [cs.CL]Viola: A Topic Agnostic Generate-and-Rank Dialogue System
    • [cs.CL]YANMTT: Yet Another Neural Machine Translation Toolkit
    • [cs.CR]EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
    • [cs.CR]GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus
    • [cs.CR]Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems
    • [cs.CV]3D Face Recognition: A Survey
    • [cs.CV]A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
    • [cs.CV]Adversarially Robust One-class Novelty Detection
    • [cs.CV]An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood Technique
    • [cs.CV]AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
    • [cs.CV]Automatic Feature Highlighting in Noisy RES Data With CycleGAN
    • [cs.CV]Blind Image Decomposition
    • [cs.CV]CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
    • [cs.CV]CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
    • [cs.CV]Deep few-shot learning for bi-temporal building change detection
    • [cs.CV]Detecting Small Objects in Thermal Images Using Single-Shot Detector
    • [cs.CV]Domain Adaptation for Real-World Single View 3D Reconstruction
    • [cs.CV]Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
    • [cs.CV]Efficient Transformer for Single Image Super-Resolution
    • [cs.CV]Field-Guide-Inspired Zero-Shot Learning
    • [cs.CV]Full-Velocity Radar Returns by Radar-Camera Fusion
    • [cs.CV]Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing
    • [cs.CV]Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
    • [cs.CV]GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection
    • [cs.CV]Heredity-aware Child Face Image Generation with Latent Space Disentanglement
    • [cs.CV]Improving Generalization of Batch Whitening by Convolutional Unit Optimization
    • [cs.CV]Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
    • [cs.CV]Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
    • [cs.CV]Learning Class-level Prototypes for Few-shot Learning
    • [cs.CV]Learning From Long-Tailed Data With Noisy Labels
    • [cs.CV]Lightweight Monocular Depth with a Novel Neural Architecture Search Method
    • [cs.CV]Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
    • [cs.CV]Localization Uncertainty-Based Attention for Object Detection
    • [cs.CV]Memory-Augmented Non-Local Attention for Video Super-Resolution
    • [cs.CV]Monocular Depth Estimation Primed by Salient Point Detection a
    746
    nd Normalized Hessian Loss
    • [cs.CV]Multi-Attributed and Structured Text-to-Face Synthesis
    • [cs.CV]Multi-Task Self-Training for Learning General Representations
    • [cs.CV]Multi-domain semantic segmentation with overlapping labels
    • [cs.CV]Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
    • [cs.CV]Normal Learning in Videos with Attention Prototype Network
    • [cs.CV]OOWL500: Overcoming Dataset Collection Bias in the Wild
    • [cs.CV]Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
    • [cs.CV]Real-time Indian Sign Language (ISL) Recognition
    • [cs.CV]Recall@k Surrogate Loss with Large Batches and Similarity Mixup
    • [cs.CV]Semantic Scene Segmentation for Robotics Applications
    • [cs.CV]SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
    • [cs.CV]Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
    • [cs.CV]TransFER: Learning Relation-aware Facial Expression Representations with Transformers
    • [cs.CV]Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
    • [cs.CV]Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
    • [cs.CV]Wanderlust: Online Continual Object Detection in the Real World
    • [cs.CV]YOLOP: You Only Look Once for Panoptic Driving Perception
    • [cs.CY]Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors
    • [cs.DC]A Case for Sampling Based Learning Techniques in Coflow Scheduling
    • [cs.DC]An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media
    • [cs.DC]Cob: a Multidimensional Byzantine Agreement Protocol for Asynchronous Incomplete Networks
    • [cs.DC]Decentralized optimization with non-identical sampling in presence of stragglers
    • [cs.DC]Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs
    • [cs.DC]On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations
    • [cs.DC]Pagurus: Eliminating Cold Startup in Serverless Computing with Inter-Action Container Sharing
    • [cs.DC]Towards Informed Partitioning for Load Balancing: a Proof-of-Concept
    • [cs.HC]Impact of Driving Behavior on Commuter’s Comfort during Cab Rides: Towards a New Perspective of Driver Rating
    • [cs.IR]CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
    • [cs.IR]Lightweight Self-Attentive Sequential Recommendation
    • [cs.IR]Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
    • [cs.IR]Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
    • [cs.IT]A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access
    • [cs.IT]Designing Wireless Powered Networks assisted by Intelligent Reflecting Surfaces with Mechanical Tilt
    • [cs.IT]Encoding Scheme For Infinite Set of Symbols: The Percolation Process
    • [cs.IT]Joint Uplink-Downlink Resource Allocation for Multi-User IRS-Assisted Systems
    • [cs.IT]Testing for directed information graphs
    • [cs.LG]A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training
    • [cs.LG]A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits
    • [cs.LG]Adversary agent reinforcement learning for pursuit-evasion
    • [cs.LG]Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms
    • [cs.LG]Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
    • [cs.LG]Backdoor Attacks on Network Certification via Data Poisoning
    • [cs.LG]Bridged Adversarial Training
    • [cs.LG]Dropout against Deep Leakage from Gradients
    • [cs.LG]GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
    • [cs.LG]Inductive Matrix Completion Using Graph Autoencoder
    • [cs.LG]NGC: A Unified Framework for Learning with Open-World Noisy Data
    • [cs.LG]Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning
    • [cs.LG]SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
    • [cs.LG]Social Norm Bias: Residual Harms of Fairness-Aware Algorithms
    • [cs.LG]The Word is Mightier than the Label Learning without Pointillistic Labels using Data Programming
    • [cs.LG]Tree Decomposed Graph Neural Network
    • [cs.LG]Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
    • [cs.NE]Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO
    • [cs.RO]Adaptive Simultaneous Magnetic Actuation and Localization for WCE in a Tubular Environment
    • [cs.RO]FogROS: An Adaptive Framework for Automating Fog Robotics Deployment
    • [cs.RO]INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
    • [cs.RO]On Reciprocally Rotating Magnetic Actuation of a Robotic Capsule in Unknown Tubular Environments
    • [cs.SD]AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer
    • [cs.SE]Learning GraphQL Query Costs (Extended Version)
    • [cs.SE]Toward Formal Data Set Verification for Building Effective Machine Learning Models
    • [cs.SE]What do pre-trained code models know about code?
    • [cs.SI]How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter
    • [eess.IV]Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T
    • [eess.IV]Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge
    • [eess.IV]Measurement of Hybrid Rocket Solid Fuel Regression Rate for a Slab Burner using Deep Learning
    • [eess.IV]NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
    • [eess.SP]Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT)
    • [eess.SP]Non-Parametric Quickest Mean Change Detection
    • [eess.SY]Automated Environmental Monitoring Intelligent System Based on Compact Autonomous Robots for The Sevastopol Bay
    • [eess.SY]Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
    • [math.FA]Necessary Density Conditions for Sampling and Interpolation in Spectral Subspaces of Elliptic Differential Operators
    • [math.OC]L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method
    • [math.OC]Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
    • [math.ST]Entropic Gromov-Wasserstein between Gaussian Distributions
    • [math.ST]Stationarity and inference in multistate promoter models of stochastic gene expression via stick-breaking measures
    • [q-bio.PE]Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework
    • [stat.ME]Depth-based reconstruction method for incomplete functional data
    • [stat.ME]Direct Nonparametric Predictive Inference Classification Trees
    • [stat.ME]Nonparametric identification is not enough, but randomized controlled trials are
    • [stat.ME]Variational inference for cutting feedback in misspecified models
    • [stat.ML]Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale
    • [stat.ML]Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
    • [stat.ML]Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details
    • [stat.ML]Predicting Census Survey Response Rates via Interpretable Nonparametric Additive Models with Structured Interactions
    • [stat.ML]The Effect of Noise Level on Causal Identification with Additive Noise Models

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

    • [cs.AI]Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems
    Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang
    http://arxiv.org/abs/2108.10851v2

    • [cs.AI]Reasoning about Counterfactuals and Explanations: Problems, Results and Directions
    Leopoldo Bertossi
    http://arxiv.org/abs/2108.11004v1

    • [cs.AI]Subgoal Search For Complex Reasoning Tasks
    Konrad Czechowski, Tomasz Odrzygóźdź, Marek Zbysiński, Michał Zawalski, Krzysztof Olejnik, Yuhuai Wu, Łukasz Kuciński, Piotr Miłoś
    http://arxiv.org/abs/2108.11204v1

    • [cs.CL]Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain
    Reto Gubelmann, Peter Hongler, Siegfried Handschuh
    http://arxiv.org/abs/2108.11215v1

    • [cs.CL]Hybrid Multisource Feature Fusion for the Text Clustering
    Jiaxuan Chen, Shenglin Gui
    http://arxiv.org/abs/2108.10926v1

    • [cs.CL]Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens
    Itay Itzhak, Omer Levy
    http://arxiv.org/abs/2108.11193v1

    • [cs.CL]Natural Language Processing Accurately Categorizes Indications, Findings and Pathology Reports from Multicenter Colonoscopy
    Shashank Reddy Vadyala, Eric A. Sherer
    http://arxiv.org/abs/2108.11034v1

    • [cs.CL]Ontology-Enhanced Slot Filling
    Yuhao Ding, Yik-Cheung Tam
    http://arxiv.org/abs/2108.11275v1

    • [cs.CL]ProoFVer: Natural Logic Theorem Proving for Fact Verification
    Amrith Krishna, Sebastian Riedel, Andreas Vlachos
    http://arxiv.org/abs/2108.11357v1

    • [cs.CL]Robustness Evaluation of Entity Disambiguation Using Prior Probes:the Case of Entity Overshadowing
    Vera Provatorova, Svitlana Vakulenko, Samarth Bhargav, Evangelos Kanoulas
    http://arxiv.org/abs/2108.10949v1

    • [cs.CL]SN Computer Science: Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
    Charangan Vasantharajan, Uthayasanker Thayasivam
    http://arxiv.org/abs/2108.10939v1

    • [cs.CL]The State of SLIVAR: What’s next for robots, human-robot interaction, and (spoken) dialogue systems?
    Casey Kennington
    http://arxiv.org/abs/2108.10931v1

    • [cs.CL]Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering
    Melika Golestani, Seyedeh Zahra Razavi, Zeinab Borhanifard, Farnaz Tahmasebian, Hesham Faili
    http://arxiv.org/abs/2108.10986v1

    • [cs.CL]Viola: A Topic Agnostic Generate-and-Rank Dialogue System
    Hyundong Cho, Basel Shbita, Kartik Shenoy, Shuai Liu, Nikhil Patel, Hitesh Pindikanti, Jennifer Lee, Jonathan May
    http://arxiv.org/abs/2108.11063v1

    • [cs.CL]YANMTT: Yet Another Neural Machine Translation Toolkit
    Raj Dabre, Eiichiro Sumita
    http://arxiv.org/abs/2108.11126v1

    • [cs.CR]EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
    Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong
    http://arxiv.org/abs/2108.11023v1

    • [cs.CR]GGNB: Graph-Based Gaussian Naive Bayes Intrusion Detection System for CAN Bus
    Riadul Islam, Maloy K. Devnath, Manar D. Samad, Syed Md Jaffrey Al Kadry
    http://arxiv.org/abs/2108.10908v1

    • [cs.CR]Online Dictionary Learning Based Fault and Cyber Attack Detection for Power Systems
    Gabriel Intriago, Yu Zhang
    http://arxiv.org/abs/2108.10990v1

    • [cs.CV]3D Face Recognition: A Survey
    Yaping Jing, Xuequan Lu, Shang Gao
    http://arxiv.org/abs/2108.11082v1

    • [cs.CV]A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
    Henrik Biermann, Jonas Theiner, Manuel Bassek, Dominik Raabe, Daniel Memmert, Ralph Ewerth
    http://arxiv.org/abs/2108.11149v1

    • [cs.CV]Adversarially Robust One-class Novelty Detection
    Shao-Yuan Lo, Poojan Oza, Vishal M. Patel
    http://arxiv.org/abs/2108.11168v1

    • [cs.CV]An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood Technique
    Tejas Dastane, Varun Rao, Kartik Shenoy, Devendra Vyavaharkar
    http://arxiv.org/abs/2108.10971v1

    • [cs.CV]AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
    Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang
    http://arxiv.org/abs/2108.11127v1

    • [cs.CV]Automatic Feature Highlighting in Noisy RES Data With CycleGAN
    Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz
    http://arxiv.org/abs/2108.11283v1

    • [cs.CV]Blind Image Decomposition
    Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li
    http://arxiv.org/abs/2108.11364v1

    • [cs.CV]CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
    Hari Prasanna Das, Ryan Tran, Japjot Singh, Yu-Wen Lin, Costas J. Spanos
    http://arxiv.org/abs/2108.11368v1

    • [cs.CV]CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing
    Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi
    http://arxiv.org/abs/2108.11305v1

    • [cs.CV]Deep few-shot learning for bi-temporal building change detection
    Mehdi Khoshboresh-Masouleh, Reza Shah-Hosseini
    http://arxiv.org/abs/2108.11262v1

    • [cs.CV]Detecting Small Objects in Thermal Images Using Single-Shot Detector
    Hao Zhang, Xianggong Hong, Li Zhu
    http://arxiv.org/abs/2108.11101v1

    • [cs.CV]Domain Adaptation for Real-World Single View 3D Reconstruction
    Brandon Leung, Siddharth Singh, Arik Horodniceanu
    http://arxiv.org/abs/2108.10972v1

    • [cs.CV]Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
    Himashi Peiris, Zhaolin Chen, Gary Egan, Mehrtash Harandi
    http://arxiv.org/abs/2108.11154v1

    • [cs.CV]Efficient Transformer for Single Image Super-Resolution
    Zhisheng Lu, Hong Liu, Juncheng Li, Linlin Zhang
    http://arxiv.org/abs/2108.11084v1

    • [cs.CV]Field-Guide-Inspired Zero-Shot Learning
    Utkarsh Mall, Bharath Hariharan, Kavita Bala
    http://arxiv.org/abs/2108.10967v1

    • [cs.CV]Full-Velocity Radar Returns by Radar-Camera Fusion
    Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan
    http://arxiv.org/abs/2108.10637v1

    • [cs.CV]Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing
    Cong Wang, Yan Huang, Yuexian Zou, Yong Xu
    http://arxiv.org/abs/2108.11292v1

    • [cs.CV]Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
    Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu
    http://arxiv.org/abs/2108.11249v1

    • [cs.CV]GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection
    C. Zheng, D. Shi, X. Yan, D. Liang, M. wei, X. Yang, Y. Guo, H. Xie
    http://arxiv.org/abs/2108.11117v1

    • [cs.CV]Heredity-aware Child Face Image Generation with Latent Space Disentanglement
    Xiao Cui, Wengang Zhou, Yang Hu, Weilun Wang, Houqiang Li
    http://arxiv.org/abs/2108.11080v1

    • [cs.CV]Improving Generalization of Batch Whitening by Convolutional Unit Optimization
    Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim
    http://arxiv.org/abs/2108.10629v1

    • [cs.CV]Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE
    Wenzhao Xiang, Chang Liu, Shibao Zheng
    http://arxiv.org/abs/2108.11032v1

    • [cs.CV]Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
    Keyang Wang, Lei Zhang, Wenli Song, Qinghai Lang, Lingyun Qin
    http://arxiv.org/abs/2108.11021v1

    • [cs.CV]Learning Class-level Prototypes for Few-shot Learning
    Minglei Yuan, Wenhai Wang, Tao Wang, Chunhao Cai, Qian Xu, Tong Lu
    http://arxiv.org/abs/2108.11072v1

    • [cs.CV]Learning From Long-Tailed Data With Noisy Labels
    Shyamgopal Karthik, Jérome Revaud, Chidlovskii Boris
    http://arxiv.org/abs/2108.11096v1

    • [cs.CV]Lightweight Monocular Depth with a Novel Neural Architecture Search Method
    Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkila
    http://arxiv.org/abs/2108.11105v1

    • [cs.CV]Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
    Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz Minhas, Shan E Ahmed Raza, Hesham El Daly, Kishore Gopalakrishnan, David Snead, Nasir Rajpoot
    http://arxiv.org/abs/2108.11195v1

    • [cs.CV]Localization Uncertainty-Based Attention for Object Detection
    Sanghun Park, Kunhee Kim, Eunseop Lee, Daijin Kim
    http://arxiv.org/abs/2108.11042v1

    • [cs.CV]Memory-Augmented Non-Local Attention for Video Super-Resolution
    Jiyang Yu, Jingen Liu, Liefeng Bo, Tao Mei
    http://arxiv.org/abs/2108.11048v1

    • [cs.CV]Monocular Depth Estimation Primed by Salient Point Detection a
    746
    nd Normalized Hessian Loss
    Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkila
    http://arxiv.org/abs/2108.11098v1

    • [cs.CV]Multi-Attributed and Structured Text-to-Face Synthesis
    Rohan Wadhawan, Tanuj Drall, Shubham Singh, Shampa Chakraverty
    http://arxiv.org/abs/2108.11100v1

    • [cs.CV]Multi-Task Self-Training for Learning General Representations
    Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin
    http://arxiv.org/abs/2108.11353v1

    • [cs.CV]Multi-domain semantic segmentation with overlapping labels
    Petra Bevandić, Marin Oršić, Ivan Grubišić, Josip Šarić, Siniša Šegvić
    http://arxiv.org/abs/2108.11224v1

    • [cs.CV]Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
    Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
    http://arxiv.org/abs/2108.11244v1

    • [cs.CV]Normal Learning in Videos with Attention Prototype Network
    Chao Hu, Fan Wu, Weijie Wu, Weibin Qiu, Shengxin Lai
    http://arxiv.org/abs/2108.11055v1

    • [cs.CV]OOWL500: Overcoming Dataset Collection Bias in the Wild
    Brandon Leung, Chih-Hui Ho, Amir Persekian, David Orozco, Yen Chang, Erik Sandstrom, Bo Liu, Nuno Vasconcelos
    http://arxiv.org/abs/2108.10992v1

    • [cs.CV]Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
    Yuqing Song, Shizhe Chen, Qin Jin, Wei Luo, Jun Xie, Fei Huang
    http://arxiv.org/abs/2108.11119v1

    • [cs.CV]Real-time Indian Sign Language (ISL) Recognition
    Kartik Shenoy, Tejas Dastane, Varun Rao, Devendra Vyavaharkar
    http://arxiv.org/abs/2108.10970v1

    • [cs.CV]Recall@k Surrogate Loss with Large Batches and Similarity Mixup
    Yash Patel, Giorgos Tolias, Jiri Matas
    http://arxiv.org/abs/2108.11179v1

    • [cs.CV]Semantic Scene Segmentation for Robotics Applications
    Maria Tzelepi, Anastasios Tefas
    http://arxiv.org/abs/2108.11128v1

    • [cs.CV]SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
    Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao
    http://arxiv.org/abs/2108.10904v1

    • [cs.CV]Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
    Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du
    http://arxiv.org/abs/2108.11172v1

    • [cs.CV]TransFER: Learning Relation-aware Facial Expression Representations with Transformers
    Fanglei Xue, Qiangchang Wang, Guodong Guo
    http://arxiv.org/abs/2108.11116v1

    • [cs.CV]Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
    Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko
    http://arxiv.org/abs/2108.10860v1

    • [cs.CV]Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
    Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-shi Zheng
    http://arxiv.org/abs/2108.11054v1

    • [cs.CV]Wanderlust: Online Continual Object Detection in the Real World
    Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta
    http://arxiv.org/abs/2108.11005v1

    • [cs.CV]YOLOP: You Only Look Once for Panoptic Driving Perception
    Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wang
    http://arxiv.org/abs/2108.11250v1

    • [cs.CY]Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors
    Mansooreh Karami, Tahora H. Nazer, Huan Liu
    http://arxiv.org/abs/2108.10942v1

    • [cs.DC]A Case for Sampling Based Learning Techniques in Coflow Scheduling
    Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin
    http://arxiv.org/abs/2108.11255v1

    • [cs.DC]An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media
    Sebastian Wolf, Martin Galis, Carsten Uphoff, Alice-Agnes Gabriel, Peter Moczo, David Gregor, Michael Bader
    http://arxiv.org/abs/2108.10565v2

    • [cs.DC]Cob: a Multidimensional Byzantine Agreement Protocol for Asynchronous Incomplete Networks
    Andrea Flamini, Riccardo Longo, Alessio Meneghetti
    http://arxiv.org/abs/2108.11157v1

    • [cs.DC]Decentralized optimization with non-identical sampling in presence of stragglers
    Tharindu Adikari, Stark Draper
    http://arxiv.org/abs/2108.11071v1

    • [cs.DC]Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs
    Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner
    http://arxiv.org/abs/2108.11359v1

    • [cs.DC]On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations
    Grzegorz Kwasniewski, Marko Kabić, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Jens Eirik Saethre, André Gaillard, Timo Schneider, Maciej Besta, Anton Kozhevnikov, Joost VandeVondele, Torsten Hoefler
    http://arxiv.org/abs/2108
    c94
    .09337v1
    c94
    .09337v1)

    • [cs.DC]Pagurus: Eliminating Cold Startup in Serverless Computing with Inter-Action Container Sharing
    Zijun Li, Quan Chen, Minyi Guo
    http://arxiv.org/abs/2108.11240v1

    • [cs.DC]Towards Informed Partitioning for Load Balancing: a Proof-of-Concept
    Anthony Boulmier, Nabil Abdennadher, Bastien Chopard
    http://arxiv.org/abs/2108.11099v1

    • [cs.HC]Impact of Driving Behavior on Commuter’s Comfort during Cab Rides: Towards a New Perspective of Driver Rating
    Rohit Verma, Sugandh Pargal, Debasree Das, Tanusree Parbat, Sai Shankar Kambalapalli, Bivas Mitra, Sandip Chakraborty
    http://arxiv.org/abs/2108.10944v1

    • [cs.IR]CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
    Sicheng Zhou, Liwei Wang, Nan Wang, Hongfang Liu, Rui Zhang
    http://arxiv.org/abs/2108.11303v1

    • [cs.IR]Lightweight Self-Attentive Sequential Recommendation
    Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
    http://arxiv.org/abs/2108.11333v1

    • [cs.IR]Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
    Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
    http://arxiv.org/abs/2108.11044v1

    • [cs.IR]Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
    Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner, Jingjing Zhang
    http://arxiv.org/abs/2108.11068v1

    • [cs.IT]A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access
    Xiaodan Shao, Lei Cheng, Xiaoming Chen, Chongwen Huang, Derrick Wing Kwan Ng
    http://arxiv.org/abs/2108.11123v1

    • [cs.IT]Designing Wireless Powered Networks assisted by Intelligent Reflecting Surfaces with Mechanical Tilt
    Zoran Hadzi-Velkov, Slavche Pejoski, Nikola Zlatanov, Haris Gacanin
    http://arxiv.org/abs/2108.11289v1

    • [cs.IT]Encoding Scheme For Infinite Set of Symbols: The Percolation Process
    Yousof Mardoukhi
    http://arxiv.org/abs/2108.11280v1

    • [cs.IT]Joint Uplink-Downlink Resource Allocation for Multi-User IRS-Assisted Systems
    Mahmoud Saad Abouamer, Patrick Mitran
    http://arxiv.org/abs/2108.11349v1

    • [cs.IT]Testing for directed information graphs
    Sina Molavipour, Germán Bassi, Mikael Skoglund
    http://arxiv.org/abs/2108.11074v1

    • [cs.LG]A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training
    Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi
    http://arxiv.org/abs/2108.11018v1

    • [cs.LG]A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits
    Joel Q. L. Chang, Vincent Y. F. Tan
    http://arxiv.org/abs/2108.11345v1

    • [cs.LG]Adversary agent reinforcement learning for pursuit-evasion
    X. Huang
    http://arxiv.org/abs/2108.11010v1

    • [cs.LG]Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms
    Elizabeth Ditton, Anne Swinbourne, Trina Myers, Mitchell Scovell
    http://arxiv.org/abs/2108.11053v1

    • [cs.LG]Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
    Lucio M. Dery, Yann Dauphin, David Grangier
    http://arxiv.org/abs/2108.11346v1

    • [cs.LG]Backdoor Attacks on Network Certification via Data Poisoning
    Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
    http://arxiv.org/abs/2108.11299v1

    • [cs.LG]Bridged Adversarial Training
    Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee
    http://arxiv.org/abs/2108.11135v1

    • [cs.LG]Dropout against Deep Leakage from Gradients
    Yanchong Zheng
    http://arxiv.org/abs/2108.11106v1

    • [cs.LG]GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity
    Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
    http://arxiv.org/abs/2108.11033v1

    • [cs.LG]Inductive Matrix Completion Using Graph Autoencoder
    Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu
    http://arxiv.org/abs/2108.11124v1

    • [cs.LG]NGC: A Unified Framework for Learning with Open-World Noisy Data
    Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li
    http://arxiv.org/abs/2108.11035v1

    • [cs.LG]Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning
    Conrad Sanderson, Dan Pagendam, Brendan Power, Frederick Bennett, Ross Darnell
    http://arxiv.org/abs/2108.11057v1

    • [cs.LG]SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
    Sayan Nag, Mayukh Bhattacharyya
    http://arxiv.org/abs/2108.09598v3

    • [cs.LG]Social Norm Bias: Residual Harms of Fairness-Aware Algorithms
    Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai
    http://arxiv.org/abs/2108.11056v1

    • [cs.LG]The Word is Mightier than the Label Learning without Pointillistic Labels using Data Programming
    Chufan Gao, Mononito Goswami
    http://arxiv.org/abs/2108.10921v1

    • [cs.LG]Tree Decomposed Graph Neural Network
    Yu Wang, Tyler Derr
    http://arxiv.org/abs/2108.11022v1

    • [cs.LG]Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
    Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
    http://arxiv.org/abs/2108.11371v1

    • [cs.NE]Surprisingly Popular Algorithm-based Adaptive Euclidean Distance Topology Learning PSO
    Xuan Wu, Jizong Han, Quanlong Cui, Liang Chen, Yanchun Liang, Han Huang, Heow Pueh Lee, You Zhou, Chunguo Wu
    http://arxiv.org/abs/2108.11173v1

    • [cs.RO]Adaptive Simultaneous Magnetic Actuation and Localization for WCE in a Tubular Environment
    Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q. -H. Meng
    http://arxiv.org/abs/2108.11256v1

    • [cs.RO]FogROS: An Adaptive Framework for Automating Fog Robotics Deployment
    Kaiyuan, Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg
    http://arxiv.org/abs/2108.11355v1

    • [cs.RO]INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
    Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang La, Nanning Zheng
    http://arxiv.org/abs/2108.11092v1

    • [cs.RO]On Reciprocally Rotating Magnetic Actuation of a Robotic Capsule in Unknown Tubular Environments
    Yangxin Xu, Keyu Li, Ziqi Zhao, Max Q. -H. Meng
    http://arxiv.org/abs/2108.11253v1

    • [cs.SD]AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer
    Jingwei Zhao, Gus Xia
    http://arxiv.org/abs/2108.11213v1

    • [cs.SE]Learning GraphQL Query Costs (Extended Version)
    Georgios Mavroudeas, Guillaume Baudart, Alan Cha, Martin Hirzel, Jim A. Laredo, Malik Magdon-Ismail, Louis Mandel, Erik Wittern
    http://arxiv.org/abs/2108.11139v1

    • [cs.SE]Toward Formal Data Set Verification for Building Effective Machine Learning Models
    Jorge López, Maxime Labonne, Claude Poletti
    http://arxiv.org/abs/2108.11220v1

    • [cs.SE]What do pre-trained code models know about code?
    Anjan Karmakar, Romain Robbes
    http://arxiv.org/abs/2108.11308v1

    • [cs.SI]How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter
    Gavin Cook, Junming Huang, Yu Xie
    http://arxiv.org/abs/2108.11040v1

    • [eess.IV]Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T
    Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan
    http://arxiv.org/abs/2108.10943v1

    • [eess.IV]Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge
    Frauke Wilm, Katharina Breininger, Marc Aubreville
    http://arxiv.org/abs/2108.11269v1

    • [eess.IV]Measurement of Hybrid Rocket Solid Fuel Regression Rate for a Slab Burner using Deep Learning
    Gabriel Surina III, Georgios Georgalis, Siddhant S. Aphale, Abani Patra, Paul E. DesJardin
    http://arxiv.org/abs/2108.11276v1

    • [eess.IV]NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
    Liyue Shen, John Pauly, Lei Xing
    http://arxiv.org/abs/2108.10991v1

    • [eess.SP]Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT)
    Keith A. LeGrand, Pingping Zhu, Silvia Ferrari
    http://arxiv.org/abs/2108.11236v1

    • [eess.SP]Non-Parametric Quickest Mean Change Detection
    Yuchen Liang, Venugopal V. Veeravalli
    http://arxiv.org/abs/2108.11348v1

    • [eess.SY]Automated Environmental Monitoring Intelligent System Based on Compact Autonomous Robots for The Sevastopol Bay
    Y. E. Shishkin, Aleksandr N. Grekov
    http://arxiv.org/abs/2108.11166v1

    • [eess.SY]Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
    Ran Zhang, Duc Minh, Nguyen, Miao Wang, Lin X. Cai, Xuemin, Shen
    http://arxiv.org/abs/2108.11012v1

    • [math.FA]Necessary Density Conditions for Sampling and Interpolation in Spectral Subspaces of Elliptic Differential Operators
    Karlheinz Gröchenig, Andreas Klotz
    http://arxiv.org/abs/2108.11152v1

    • [math.OC]L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method
    Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
    http://arxiv.org/abs/2108.09365v1

    • [math.OC]Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
    Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
    http://arxiv.org/abs/2108.11019v1

    • [math.ST]Entropic Gromov-Wasserstein between Gaussian Distributions
    Khang Le, Dung Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho
    http://arxiv.org/abs/2108.10961v1

    • [math.ST]Stationarity and inference in multistate promoter models of stochastic gene expression via stick-breaking measures
    William Lippitt, Sunder Sethuraman, Xueying Tang
    http://arxiv.org/abs/2108.10896v1

    • [q-bio.PE]Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework
    Chathika Gunaratne, Rene Reyes, Erik Hemberg, Una-May O’Reilly
    http://arxiv.org/abs/2108.11025v1

    • [stat.ME]Depth-based reconstruction method for incomplete functional data
    Antonio Elías, Raúl Jiménez, Hanlin Shang
    http://arxiv.org/abs/2108.11050v1

    • [stat.ME]Direct Nonparametric Predictive Inference Classification Trees
    Abdulmajeed Atiah Alharbi, Frank P. A. Coolen, Tahani Coolen-Maturi
    http://arxiv.org/abs/2108.11245v1

    • [stat.ME]Nonparametric identification is not enough, but randomized controlled trials are
    P. M. Aronow, James M. Robins, Theo Saarinen, Fredrik Sävje, Jasjeet Sekhon
    http://arxiv.org/abs/2108.11342v1

    • [stat.ME]Variational inference for cutting feedback in misspecified models
    Xuejun Yu, David J. Nott, Michael Stanley Smith
    http://arxiv.org/abs/2108.11066v1

    • [stat.ML]Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale
    Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian Vollmer, Chris Holmes
    http://arxiv.org/abs/2108.10934v1

    • [stat.ML]Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
    Emmanuel Ramasso, Thierry Denøe ux, Gaël Chevallier
    http://arxiv.org/abs/2108.11211v1

    • [stat.ML]Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details
    Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti
    http://arxiv.org/abs/2108.11000v1

    • [stat.ML]Predicting Census Survey Response Rates via Interpretable Nonparametric Additive Models with Structured Interactions
    Shibal Ibrahim, Rahul Mazumder, Peter Radchenko, Emanuel Ben-David
    http://arxiv.org/abs/2108.11328v1

    • [stat.ML]The Effect of Noise Level on Causal Identification with Additive Noise Models
    Benjamin Kap
    http://arxiv.org/abs/2108.11320v1