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.GT - 计算机科学与博弈论
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.MM - 多媒体
    cs.PL - 编程语言
    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.GN - 一般经济学
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.CO - 组合数学
    math.PR - 概率
    math.ST - 统计理论
    physics.optics - 光学
    physics.soc-ph - 物理学与社会
    q-bio.NC - 神经元与认知
    q-bio.PE - 人口与发展
    q-bio.QM - 定量方法
    quant-ph - 量子物理
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Analogical Learning in Tactical Decision Games
    • [cs.AI]Streaming and Learning the Personal Context
    • [cs.AR]Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
    • [cs.CL]AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters
    • [cs.CL]Affective Decoding for Empathetic Response Generation
    • [cs.CL]CUSTOM: Aspect-Oriented Product Summarization for E-Commerce
    • [cs.CL]Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report
    • [cs.CL]Contextualizing Variation in Text Style Transfer Datasets
    • [cs.CL]De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
    • [cs.CL]EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension
    • [cs.CL]GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
    • [cs.CL]Joint Multiple Intent Detection and Slot Filling via Self-distillation
    • [cs.CL]MeDiaQA: A Question Answering Dataset on Medical Dialogues
    • [cs.CL]Modulating Language Models with Emotions
    • [cs.CL]RTE: A Tool for Annotating Relation Triplets from Text
    • [cs.CL]SHAQ: Single Headed Attention with Quasi-Recurrence
    • [cs.CL]SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
    • [cs.CL]TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
    • [cs.CL]Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models
    • [cs.CR]On computations with Double Schubert Automaton and stable maps of Multivariate Cryptography
    • [cs.CR]Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better
    • [cs.CV]A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
    • [cs.CV]ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells
    • [cs.CV]ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
    • [cs.CV]Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested
    • [cs.CV]Activity Recognition for Autism Diagnosis
    • [cs.CV]Adaptive Convolutions with Per-pixel Dynamic Filter Atom
    • [cs.CV]Adaptive Graph Convolution for Point Cloud Analysis
    • [cs.CV]Adversarial Relighting against Face Recognition
    • [cs.CV]Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection
    • [cs.CV]An Attention Module for Convolutional Neural Networks
    • [cs.CV]Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
    • [cs.CV]Channel-Temporal Attention for First-Person Video Domain Adaptation
    • [cs.CV]Deep Hybrid Self-Prior for Full 3D Mesh Generation
    • [cs.CV]DeepFake MNIST+: A DeepFake Facial Animation Dataset
    • [cs.CV]Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
    • [cs.CV]Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods
    • [cs.CV]End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
    • [cs.CV]Exploring Classification Equilibrium in Long-Tailed Object Detection
    • [cs.CV]FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
    • [cs.CV]Few-Shot Batch Incremental Road Object Detection via Detector Fusion
    • [cs.CV]Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
    • [cs.CV]Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
    • [cs.CV]Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
    • [cs.CV]Hand Hygiene Video Classification Based on Deep Learning
    • [cs.CV]Image Collation: Matching illustrations in manuscripts
    • [cs.CV]LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
    • [cs.CV]LOKI: Long Term and Key Intentions for Trajectory Prediction
    • [cs.CV]Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
    • [cs.CV]Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
    • [cs.CV]MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
    • [cs.CV]ME-PCN: Point Completion Conditioned on Mask Emptiness
    • [cs.CV]MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
    • [cs.CV]Masked Face Recognition Challenge: The InsightFace Track Report
    • [cs.CV]Multi-Anchor Active Domain Adaptation for Semantic Segmentation
    • [cs.CV]Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
    • [cs.CV]Multi-task learning for jersey number recognition in Ice Hockey
    • [cs.CV]Object Disparity
    • [cs.CV]Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
    • [cs.CV]PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
    • [cs.CV]Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
    • [cs.CV]Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
    • [cs.CV]Rendering and Tracking the Directional TSDF: Modeling Surface Orientation for Coherent Maps
    • [cs.CV]Research on Gender-related Fingerprint Features
    • [cs.CV]Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
    • [cs.CV]Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
    • [cs.CV]Single-DARTS: Towards Stable Architecture Search
    • [cs.CV]Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality
    • [cs.CV]Specificity-preserving RGB-D Saliency Detection
    • [cs.CV]Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
    • [cs.CV]Stochastic Scene-Aware Motion Prediction
    • [cs.CV]Structured Outdoor Architecture Reconstruction by Exploration and Classification
    • [cs.CV]SynFace: Face Recognition with Synthetic Data
    • [cs.CV]TOOD: Task-aligned One-stage Object Detection
    • [cs.CV]Target Adaptive Context Aggregation for Video Scene Graph Generation
    • [cs.CV]Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images
    • [cs.CV]Towards Robust Human Trajectory Prediction in Raw Videos
    • [cs.CV]Unbiased IoU for Spherical Image Object Detection
    • [cs.CV]Unsupervised Image Generation with Infinite Generative Adversarial Networks
    • [cs.CV]Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
    • [cs.CV]WRICNet:A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection
    • [cs.CV]X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
    • [cs.CY]A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized
    • [cs.CY]Global Tweet Mentions of COVID-19
    • [cs.CY]Simulating COVID19 Transmission From Observed Movement: An Agent-Based Model of Classroom Dispersion
    • [cs.DC]Modeling Performance and Energy trade-offs in Online Data-Intensive Applications
    • [cs.GT]Learning to Compute Approximate Nash Equilibrium for Normal-form Games
    • [cs.IR]A Unified Framework for Cross-Domain and Cross-System Recommendations
    • [cs.IR]Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot
    • [cs.IR]SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation
    • [cs.IT]Adaptive Rate NOMA for Cellular IoT Networks
    • [cs.IT]Dynamic RAT Selection and Transceiver Optimization for Mobile Edge Computing Over Multi-RAT Heterogeneous Networks
    • [cs.IT]Electromagnetic Modeling of Holographic Intelligent Reflecting Surfaces at Terahertz Bands
    • [cs.IT]Higher Order Derivative-Based Receiver Pre-processing for Molecular Communications
    • [cs.IT]Improved Lower Bounds for Secure Codes and Related Structures
    • [cs.IT]Low-Complexity Algorithm for Outage Optimal Resource Allocation in Energy Harvesting-Based UAV Identification Networks
    • [cs.IT]Peak Sidelobe Level and Peak Crosscorrelation of Golay-Rudin-Shapiro Sequences
    • [cs.IT]The geometry of Hermitian self-orthogonal codes
    • [cs.IT]Toward Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting
    • [cs.IT]Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Imperfect CSI
    • [cs.IT]Wideband Channel Estimation for THz Massive MIMO
    • [cs.LG]A new semi-supervised inductive transfer learning framework: Co-Transfer
    • [cs.LG]Bagging Supervised Autoencoder Classifier for Credit Scoring
    • [cs.LG]CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations
    • [cs.LG]Compressing gradients by exploiting temporal correlation in momentum-SGD
    • [cs.LG]Confidence Adaptive Regularization for Deep Learning with Noisy Labels
    • [cs.LG]Contrastive Identification of Covariate Shift in Image Data
    • [cs.LG]Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
    • [cs.LG]Data Pricing in Machine Learning Pipelines
    • [cs.LG]Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
    • [cs.LG]DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
    • [cs.LG]Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
    • [cs.LG]Estimating smooth and sparse neural receptive fields with a flexible spline basis
    • [cs.LG]Existence, uniqueness, and convergence rates for gradient flows in the training of artificial neural networks with ReLU activation
    • [cs.LG]Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
    • [cs.LG]Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT
    • [cs.LG]GCCAD: Graph Contrastive Coding for Anomaly Detection
    • [cs.LG]Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
    • [cs.LG]HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering
    • [cs.LG]Learning Federated Representations and Recommendations with Limited Negatives
    • [cs.LG]Learning to Collaborate
    • [cs.LG]Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment
    • [cs.LG]M-ar-K-Fast Independent Component Analysis
    • [cs.LG]O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed
    • [cs.LG]On the Opportunities and Risks of Foundation Models
    • [cs.LG]Out-of-Distribution Detection using Outlier Detection Methods
    • [cs.LG]RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
    • [cs.LG]RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
    • [cs.LG]Stack Index Prediction Using Time-Series Analysis
    • [cs.LG]Statistically Near-Optimal Hypothesis Selection
    • [cs.LG]Stochastic Cluster Embedding
    • [cs.LG]Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
    • [cs.LG]Transformers predicting the future. Applying attention in next-frame and time series forecasting
    • [cs.LG]Variational Graph Normalized Auto-Encoders
    • [cs.LG]Verifying Low-dimensional Input Neural Networks via Input Quantization
    • [cs.LG]XAI Methods for Neural Time Series Classification: A Brief Review
    • [cs.MM]Fighting Game Commentator with Pitch and Loudness Adjustment Utilizing Highlight Cues
    • [cs.PL]Higher-Order Concurrency for Microcontrollers
    • [cs.RO]ARDOP: A Versatile Humanoid Robotic Research Platform
    • [cs.RO]An Empirical Testing of Autonomous Vehicle Simulator System for Urban Driving
    • [cs.RO]Combining Local and Global Viewpoint Planning for Fruit Coverage
    • [cs.RO]EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environments
    • [cs.RO]Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification
    • [cs.RO]Optimised Informed RRTs for Mobile Robot Path Planning
    • [cs.RO]PerceMon: Online Monitoring for Perception Systems
    • [cs.RO]Trust, Acceptance and Social Cues in Human-Robot Interaction 2021 — SCRITA
    • [cs.SD]Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model
    • [cs.SE]DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
    • [cs.SE]Infrastructure in Code: Towards Developer-Friendly Cloud Applications
    • [cs.SI]Hyperbolic Hypergraphs for Sequential Recommendation
    • [cs.SI]On the Virality of Animated GIFs on Tumblr
    • [cs.SI]Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
    • [econ.GN]Tilted Platforms: Rental Housing Technology and the Rise of Urban Big Data Oligopolies
    • [eess.IV]A New Journey from SDRTV to HDRTV
    • [eess.IV]A Simple Framework for 3D Lensless Imaging with Programmable Masks
    • [eess.IV]Calibration Method of the Monocular Omnidirectional Stereo Camera
    • [eess.IV]DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM
    • [eess.IV]Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
    • [eess.IV]Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training
    • [eess.IV]Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
    • [eess.IV]OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting
    • [eess.IV]Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation
    • [eess.IV]Thermal Image Processing via Physics-Inspired Deep Networks
    • [eess.SP]An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
    • [eess.SP]Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series
    • [eess.SY]Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms
    • [eess.SY]Scalable regret for learning to control network-coupled subsystems with unknown dynamics
    • [math.CO]Algorithmic techniques for finding resistance distances on structured graphs
    • [math.PR]Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle
    • [math.ST]On the variability of the sample covariance matrix under complex elliptical distributions
    • [physics.optics]Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
    • [physics.soc-ph]Predicting Dynamic Stability of Power Grids using Graph Neural Networks
    • [q-bio.NC]Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks
    • [q-bio.PE]Effective and scalable clustering of SARS-CoV-2 sequences
    • [q-bio.QM]Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention
    • [quant-ph]A comparative study of universal quantum computing models: towards a physical unification
    • [stat.ME]A Model for Bimodal Rates and Proportions
    • [stat.ME]Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics
    • [stat.ME]Multiple two-sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry
    • [stat.ME]On variance estimation for the one-sample log-rank test
    • [stat.ME]Stable combination tests
    • [stat.ME]Stochastic loss reserving with mixture density neural networks
    • [stat.ME]Weak signal identification and inference in penalized likelihood models for categorical responses
    • [stat.ML]Aggregated Customer Engagement Model
    • [stat.ML]Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs
    • [stat.ML]Moser Flow: Divergence-based Generative Modeling on Manifolds
    • [stat.ML]On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
    • [stat.ML]Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
    • [stat.ML]Semantic Perturbations with Normalizing Flows for Improved Generalization

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

    • [cs.AI]Analogical Learning in Tactical Decision Games
    Tom Hinrichs, Greg Dunham, Ken Forbus
    http://arxiv.org/abs/2108.08227v1

    • [cs.AI]Streaming and Learning the Personal Context
    Fausto Giunchiglia, Marcelo Rodas Britez, Andrea Bontempelli, Xiaoyue Li
    http://arxiv.org/abs/2108.08234v1

    • [cs.AR]Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
    Weier Wan, Rajkumar Kubendran, Clemens Schaefer, S. Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H. -S. Philip Wong, Gert Cauwenberghs
    http://arxiv.org/abs/2108.07879v1

    • [cs.CL]AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters
    Tilman Beck, Bela Bohlender, Christina Viehmann, Vincent Hane, Yanik Adamson, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Iryna Gurevych
    http://arxiv.org/abs/2108.08103v1

    • [cs.CL]Affective Decoding for Empathetic Response Generation
    Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhigang Chen
    http://arxiv.org/abs/2108.08102v1

    • [cs.CL]CUSTOM: Aspect-Oriented Product Summarization for E-Commerce
    Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/2108.08010v1

    • [cs.CL]Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report
    Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella, Jakub Piskorski, Reyyan Yeniterzi, Erdem Yörük
    http://arxiv.org/abs/2108.07865v1

    • [cs.CL]Contextualizing Variation in Text Style Transfer Datasets
    Stephanie Schoch, Wanyu Du, Yangfeng Ji
    http://arxiv.org/abs/2108.07871v1

    • [cs.CL]De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
    Md Monowar Anjum, Noman Mohammed, Xiaoqian Jiang
    http://arxiv.org/abs/2108.07971v1

    • [cs.CL]EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension
    Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, Bowen Zhou, Tiejun Zhao
    http://arxiv.org/abs/2108.07994v1

    • [cs.CL]GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
    Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen
    http://arxiv.org/abs/2108.07998v1

    • [cs.CL]Joint Multiple Intent Detection and Slot Filling via Self-distillation
    Lisong Chen, Peilin Zhou, Yuexian Zou
    http://arxiv.org/abs/2108.08042v1

    • [cs.CL]MeDiaQA: A Question Answering Dataset on Medical Dialogues
    Huqun Suri, Qi Zhang, Wenhua Huo, Yan Liu, Chunsheng Guan
    http://arxiv.org/abs/2108.08074v1

    • [cs.CL]Modulating Language Models with Emotions
    Ruibo Liu, Jason Wei, Chenyan Jia, Soroush Vosoughi
    http://arxiv.org/abs/2108.07886v1

    • [cs.CL]RTE: A Tool for Annotating Relation Triplets from Text
    Ankan Mullick, Animesh Bera, Tapas Nayak
    http://arxiv.org/abs/2108.08184v1

    • [cs.CL]SHAQ: Single Headed Attention with Quasi-Recurrence
    Nashwin Bharwani, Warren Kushner, Sangeet Dandona, Ben Schreiber
    http://arxiv.org/abs/2108.08207v1

    • [cs.CL]SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
    Shaobo Cui, Xintong Bao, Xuming Lin, Zhongzhou Zhao, Ji Zhang, Wei Zhou, Haiqing Chen
    http://arxiv.org/abs/2108.07535v2

    • [cs.CL]TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
    Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko
    http://arxiv.org/abs/2108.08226v1

    • [cs.CL]Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models
    Junjie H. Xu, Kohei Shinden, Makoto P. Kato
    http://arxiv.org/abs/2108.08111v1

    • [cs.CR]On computations with Double Schubert Automaton and stable maps of Multivariate Cryptography
    Vasyl Ustimenko
    http://arxiv.org/abs/2108.08288v1

    • [cs.CR]Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better
    Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang
    http://arxiv.org/abs/2108.07969v1

    • [cs.CV]A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
    Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng
    ae7
    http://arxiv.org/abs/2108.07979v1

    • [cs.CV]ALLNet: A Hybrid Convolutional Neural Network to Improve Diagnosis of Acute Lymphocytic Leukemia (ALL) in White Blood Cells
    Sai Mattapalli, Rishi Athavale
    http://arxiv.org/abs/2108.08195v1

    • [cs.CV]ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
    Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung
    http://arxiv.org/abs/2108.07845v1

    • [cs.CV]Active Observer Visual Problem-Solving Methods are Dynamically Hypothesized, Deployed and Tested
    Markus D. Solbach, John K. Tsotsos
    http://arxiv.org/abs/2108.08145v1

    • [cs.CV]Activity Recognition for Autism Diagnosis
    Anish Lakkapragada, Peter Washington, Dennis Wall
    http://arxiv.org/abs/2108.07917v1

    • [cs.CV]Adaptive Convolutions with Per-pixel Dynamic Filter Atom
    Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
    http://arxiv.org/abs/2108.07895v1

    • [cs.CV]Adaptive Graph Convolution for Point Cloud Analysis
    Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu
    http://arxiv.org/abs/2108.08035v1

    • [cs.CV]Adversarial Relighting against Face Recognition
    Ruijun Gao, Qing Gao, Qian Zhang, Felix Juefei-Xu, Hongkai Yu, Wei Feng
    http://arxiv.org/abs/2108.07920v1

    • [cs.CV]Affect-Aware Deep Belief Network Representations for Multimodal Unsupervised Deception Detection
    Leena Mathur, Maja J Matarić
    http://arxiv.org/abs/2108.07897v1

    • [cs.CV]An Attention Module for Convolutional Neural Networks
    Zhu Baozhou, Peter Hofstee, Jinho Lee, Zaid Al-Ars
    http://arxiv.org/abs/2108.08205v1

    • [cs.CV]Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
    Yu Qiu, Yun Liu, Le Zhang, Jing Xu
    http://arxiv.org/abs/2108.07851v1

    • [cs.CV]Channel-Temporal Attention for First-Person Video Domain Adaptation
    Xianyuan Liu, Shuo Zhou, Tao Lei, Haiping Lu
    http://arxiv.org/abs/2108.07846v1

    • [cs.CV]Deep Hybrid Self-Prior for Full 3D Mesh Generation
    Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, Yinda Zhang
    http://arxiv.org/abs/2108.08017v1

    • [cs.CV]DeepFake MNIST+: A DeepFake Facial Animation Dataset
    Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu
    http://arxiv.org/abs/2108.07949v1

    • [cs.CV]Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
    Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason Rambach, Didier Stricker, Christoph Stiller
    http://arxiv.org/abs/2108.08166v1

    • [cs.CV]Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods
    Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan
    http://arxiv.org/abs/2108.08179v1

    • [cs.CV]End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
    Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
    http://arxiv.org/abs/2108.08265v1

    • [cs.CV]Exploring Classification Equilibrium in Long-Tailed Object Detection
    Chengjian Feng, Yujie Zhong, Weilin Huang
    http://arxiv.org/abs/2108.07507v2

    • [cs.CV]FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
    Chenxu Zhang, Yifan Zhao, Yifei Huang, Ming Zeng, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo
    http://arxiv.org/abs/2108.07938v1

    • [cs.CV]Few-Shot Batch Incremental Road Object Detection via Detector Fusion
    Anuj Tambwekar, Kshitij Agrawal, Anay Majee, Anbumani Subramanian
    http://arxiv.org/abs/2108.08048v1

    • [cs.CV]Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
    Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia
    http://arxiv.org/abs/2108.07682v2

    • [cs.CV]Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
    Anna Kukleva, Hilde Kuehne, Bernt Schiele
    http://arxiv.org/abs/2108.08165v1

    • [cs.CV]Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs
    Md Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
    http://arxiv.org/abs/2108.07884v1

    • [cs.CV]Hand Hygiene Video Classification Based on Deep Learning
    Rashmi Bakshi
    http://arxiv.org/abs/2108.08127v1

    • [cs.CV]Image Collation: Matching illustrations in manuscripts
    Ryad Kaoua, Xi Shen, Alexandra Durr, Stavros Lazaris, David Picard, Mathieu Aubry
    http://arxiv.org/abs/2108.08109v1

    • [cs.CV]LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
    Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
    http://arxiv.org/abs/2108.08258v1

    • [cs.CV]LOKI: Long Term and Key Intentions for Trajectory Prediction
    Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
    http://arxiv.org/abs/2108.08236v1

    • [cs.CV]Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
    Mantang Guo, Jing Jin, Hui Liu, Junhui Hou
    http://arxiv.org/abs/2108.07408v2

    • [cs.CV]Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
    Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo
    http://arxiv.org/abs/2108.08119v1

    • [cs.CV]MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
    Zhaoyang Jia, Han Fang, Weiming Zhang
    http://arxiv.org/abs/2108.08211v1

    • [cs.CV]ME-PCN: Point Completion Conditioned on Mask Emptiness
    Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu
    http://arxiv.org/abs/2108.08187v1

    • [cs.CV]MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
    Penghua Zhai, Huaiwei Cong, Gangming Zhao, Chaowei Fang, Jinpeng Li, Ting Cai, Huiguang He
    http://arxiv.org/abs/2108.07662v2

    • [cs.CV]Masked Face Recognition Challenge: The InsightFace Track Report
    Jiankang Deng, Jia Guo, Xiang An, Zheng Zhu, Stefanos Zafeiriou
    http://arxiv.org/abs/2108.08191v1

    • [cs.CV]Multi-Anchor Active Domain Adaptation for Semantic Segmentation
    Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2108.08012v1

    • [cs.CV]Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
    Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang
    http://arxiv.org/abs/2108.08063v1

    • [cs.CV]Multi-task learning for jersey number recognition in Ice Hockey
    Kanav Vats, Mehrnaz Fani, David A. Clausi, John Zelek
    http://arxiv.org/abs/2108.07848v1

    • [cs.CV]Object Disparity
    Ynjiun Paul Wang
    http://arxiv.org/abs/2108.07939v1

    • [cs.CV]Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
    Niamh Belton, Ivan Welaratne, Adil Dahlan, Ronan T Hearne, Misgina Tsighe Hagos, Aonghus Lawlor, Kathleen M. Curran
    http://arxiv.org/abs/2108.08136v1

    • [cs.CV]PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
    André Luiz Buarque Vieira-e-Silva, Heitor de Castro Felix, Thiago de Menezes Chaves, Francisco Paulo Magalhães Simões, Veronica Teichrieb, Michel Mozinho dos Santos, Hemir da Cunha Santiago, Virginia Adélia Cordeiro Sgotti, Henrique Baptista Duffles Teixeira Lott Neto
    http://arxiv.org/abs/2108.07944v1

    • [cs.CV]Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes
    Keyang Zhou, Kailun Yang, Kaiwei Wang
    http://arxiv.org/abs/2108.08076v1

    • [cs.CV]Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
    Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson, Marc Pollefeys
    http://arxiv.org/abs/2108.08291v1

    • [cs.CV]Rendering and Tracking the Directional TSDF: Modeling Surface Orientation for Coherent Maps
    Malte Splietker, Sven Behnke
    http://arxiv.org/abs/2108.08115v1

    • [cs.CV]Research on Gender-related Fingerprint Features
    Yong Qi, Yanping Li, Huawei Lin, Jiashu Chen, Huaiguang Lei
    http://arxiv.org/abs/2108.08233v1

    • [cs.CV]Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
    Chen Li, Schyler C. Sun, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo
    http://arxiv.org/abs/2108.08244v1

    • [cs.CV]Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
    Yucheng Zhao, Guangting Wang, Chong Luo, Wenjun Zeng, Zheng-Jun Zha
    http://arxiv.org/abs/2108.07954v1

    • [cs.CV]Single-DARTS: Towards Stable Architecture Search
    Pengfei Hou, Ying Jin, Yukang Chen
    http://arxiv.org/abs/2108.08128v1

    • [cs.CV]Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality
    Bruno Augusto Dorta Marques, Esteban Walter Gonzalez Clua, Anselmo Antunes Montenegro, Cristina Nader Vasconcelos
    http://arxiv.org/abs/2108.07903v1

    • [cs.CV]Specificity-preserving RGB-D Saliency Detection
    Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao
    http://arxiv.org/abs/2108.08162v1

    • [cs.CV]Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates
    Shenhan Qian, Zhi Tu, YiHao Zhi, Wen Liu, Shenghua Gao
    http://arxiv.org/abs/2108.08020v1

    • [cs.CV]Stochastic Scene-Aware Motion Prediction
    Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael Black
    http://arxiv.org/abs/2108.08284v1

    • [cs.CV]Structured Outdoor Architecture Reconstruction by Exploration and Classification
    Fuyang Zhang, Xiang Xu, Nelson Nauata, Yasutaka Furukawa
    http://arxiv.org/abs/2108.07990v1

    • [cs.CV]SynFace: Face Recognition with Synthetic Data
    Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao
    http://arxiv.org/abs/2108.07960v1

    • [cs.CV]TOOD: Task-aligned One-stage Object Detection
    Chengjian Feng, Yujie Zhong, Yu Gao, Matthew R. Scott, Weilin Huang
    http://arxiv.org/abs/2108.07755v2

    • [cs.CV]Target Adaptive Context Aggregation for Video Scene Graph Generation
    Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu
    http://arxiv.org/abs/2108.08121v1

    • [cs.CV]Towards Deep and Efficient: A Deep Siamese Self-Attention Fully Efficient Convolutional Network for Change Detection in VHR Images
    Hongruixuan Chen, Chen Wu, Bo Du
    http://arxiv.org/abs/2108.08157v1

    • [cs.CV]Towards Robust Human Trajectory Prediction in Raw Videos
    Rui Yu, Zihan Zhou
    http://arxiv.org/abs/2108.08259v1

    • [cs.CV]Unbiased IoU for Spherical Image Object Detection
    Qiang Zhao, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Chenggang Yan, Feng Dai
    http://arxiv.org/abs/2108.08029v1

    • [cs.CV]Unsupervised Image Generation with Infinite Generative Adversarial Networks
    Hui Ying, He Wang, Tianjia Shao, Yin Yang, Kun Zhou
    http://arxiv.org/abs/2108.07975v1

    • [cs.CV]Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
    Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang
    http://arxiv.org/abs/2108.08023v1

    • [cs.CV]WRICNet:A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection
    Yu Jiang, Lei Hu, Yongmei Zhang, Xin Yang
    http://arxiv.org/abs/2108.07955v1

    • [cs.CV]X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
    Yehao Li, Yingwei Pan, Jingwen Chen, Ting Yao, Tao Mei
    http://arxiv.org/abs/2108.08217v1

    • [cs.CY]A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized
    Benjamin Cedric Larsen
    http://arxiv.org/abs/2108.07804v1

    • [cs.CY]Global Tweet Mentions of COVID-19
    Guangqing Chi, Junjun Yin, M. Luke Smith, Yosef Bodovski
    http://arxiv.org/abs/2108.06385v3

    • [cs.CY]Simulating COVID19 Transmission From Observed Movement: An Agent-Based Model of Classroom Dispersion
    Yi Zhang, Yudong Tao, Mei-Ling Shyu, Lynn K. Perry, Prem R. Warde, Daniel S. Messinger, Chaoming Song
    http://arxiv.org/abs/2108.07808v1

    • [cs.DC]Modeling Performance and Energy trade-offs in Online Data-Intensive Applications
    Ajay Badita, Rooji Jinan, Balajee Vamanan, Parimal Parag
    http://arxiv.org/abs/2108.08199v1

    • [cs.GT]Learning to Compute Approximate Nash Equilibrium for Normal-form Games
    Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng
    http://arxiv.org/abs/2108.07472v1

    • [cs.IR]A Unified Framework for Cross-Domain and Cross-System Recommendations
    Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
    http://arxiv.org/abs/2108.07976v1

    • [cs.IR]Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot
    Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen
    http://arxiv.org/abs/2108.07935v1

    • [cs.IR]SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation
    Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
    http://arxiv.org/abs/2108.08022v1

    • [cs.IT]Adaptive Rate NOMA for Cellular IoT Networks
    G. Sreya, S. Saigadha, Praful D. Mankar, Goutam Das, Harpreet S. Dhillon
    http://arxiv.org/abs/2108.08235v1

    • [cs.IT]Dynamic RAT Selection and Transceiver Optimization for Mobile Edge Computing Over Multi-RAT Heterogeneous Networks
    Feng Wang, Vincent K. N. Lau
    http://arxiv.org/abs/2108.08098v1

    • [cs.IT]Electromagnetic Modeling of Holographic Intelligent Reflecting Surfaces at Terahertz Bands
    Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Boris Bellalta, Michail Matthaiou
    http://arxiv.org/abs/2108.08104v1

    • [cs.IT]Higher Order Derivative-Based Receiver Pre-processing for Molecular Communications
    Mustafa Can Gursoy, Urbashi Mitra
    http://arxiv.org/abs/2108.07830v1

    • [cs.IT]Improved Lower Bounds for Secure Codes and Related Structures
    Bingchen Qian, Xin Wang, Gennian Ge
    http://arxiv.org/abs/2108.07987v1

    • [cs.IT]Low-Complexity Algorithm for Outage Optimal Resource Allocation in Energy Harvesting-Based UAV Identification Networks
    Jae Cheol Park, Kyu-Min Kang, Junil Choi
    http://arxiv.org/abs/2108.08016v1

    • [cs.IT]Peak Sidelobe Level and Peak Crosscorrelation of Golay-Rudin-Shapiro Sequences
    Daniel J. Katz, Courtney M. van der Linden
    http://arxiv.org/abs/2108.07318v2

    • [cs.IT]The geometry of Hermitian self-orthogonal codes
    Simeon Ball, Ricard Vilar
    http://arxiv.org/abs/2108.08088v1

    • [cs.IT]Toward Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting
    Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Emil Björnson, Dimitrios Selimis, Wallace Alves Martins, Steven Kisseleff, Sergi Abadal, Eduard Alarcón, Anastasios Papazafeiropoulos, Fotis Lazarakis, Angeliki Alexiou, Symeon Chatzinotas
    http://arxiv.org/abs/2108.07953v1

    • [cs.IT]Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Imperfect CSI
    Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang, Maged Elkashlan, Marco Di Renzo, Robert Schober, H. Vincent Poor, Jiangzhou Wang, Lajos Hanzo
    http://arxiv.org/abs/2108.07622v2

    • [cs.IT]Wideband Channel Estimation for THz Massive MIMO
    Jingbo Tan, Linglong Dai
    http://arxiv.org/abs/2108.08173v1

    • [cs.LG]A new semi-supervised inductive transfer learning framework: Co-Transfer
    Ze Yuan, Yimin Wen
    http://arxiv.org/abs/2108.07930v1

    • [cs.LG]Bagging Supervised Autoencoder Classifier for Credit Scoring
    Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi
    http://arxiv.org/abs/2108.07800v1

    • [cs.LG]CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations
    Peyman Rasouli, Ingrid Chieh Yu
    http://arxiv.org/abs/2108.08197v1

    • [cs.LG]Compressing gradients by exploiting temporal correlation in momentum-SGD
    Tharindu B. Adikari, Stark C. Draper
    http://arxiv.org/abs/2108.07827v1

    • [cs.LG]Confidence Adaptive Regularization for Deep Learning with Noisy Labels
    Yangdi Lu, Yang Bo, Wenbo He
    http://arxiv.org/abs/2108.08212v1

    • [cs.LG]Contrastive Identification of Covariate Shift in Image Data
    Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng
    http://arxiv.org/abs/2108.08000v1

    • [cs.LG]Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
    Chethan K. Anjinappa, Ismail Guvenc
    http://arxiv.org/abs/2108.07854v1

    • [cs.LG]Data Pricing in Machine Learning Pipelines
    Zicun Cong, Xuan Luo, Pei Jian, Feida Zhu, Yong Zhang
    http://arxiv.org/abs/2108.07915v1

    • [cs.LG]Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
    Ghodai Abdelrahman, Qing Wang
    http://arxiv.org/abs/2108.08105v1

    • [cs.LG]DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
    Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu
    http://arxiv.org/abs/2108.08170v1

    • [cs.LG]Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
    Tianhong Dai, Hengyan Liu, Kai Arulkumaran, Guangyu Ren, Anil Anthony Bharath
    http://arxiv.org/abs/2108.07887v1

    • [cs.LG]Estimating smooth and sparse neural receptive fields with a flexible spline basis
    Ziwei Huang, Yanli Ran, Jonathan Oesterle, Thomas Euler, Philipp Berens
    http://arxiv.org/abs/2108.07537v1

    • [cs.LG]Existence, uniqueness, and convergence rates for gradient flows in the training of artificial neural networks with ReLU activation
    Simon Eberle, Arnulf Jentzen, Adrian Riekert, Georg S. Weiss
    http://arxiv.org/abs/2108.08106v1

    • [cs.LG]Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
    Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen
    http://arxiv.org/abs/2108.07927v1

    • [cs.LG]Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT
    Chen-Feng Liu, Mehdi Bennis
    http://arxiv.org/abs/2108.07504v1

    • [cs.LG]GCCAD: Graph Contrastive Coding for Anomaly Detection
    Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang
    http://arxiv.org/abs/2108.07516v1

    • [cs.LG]Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
    Taewoon Kim
    http://arxiv.org/abs/2108.08186v1

    • [cs.LG]HyperSF: Spectral Hypergraph Coarsening via Flow-based Local Clustering
    Ali Aghdaei, Zhiqiang Zhao, Zhuo Feng
    http://arxiv.org/abs/2108.07901v1

    • [cs.LG]Learning Federated Representations and Recommendations with Limited Negatives
    Lin Ning, Karan Singhal, Ellie X. Zhou, Sushant Prakash
    http://arxiv.org/abs/2108.07931v1

    • [cs.LG]Learning to Collaborate
    Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
    http://arxiv.org/abs/2108.07926v1

    • [cs.LG]Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment
    Binay Gupta, Anirban Chatterjee, Harika Matha, Kunal Banerjee, Lalitdutt Parsai, Vijay Agneeswaran
    http://arxiv.org/abs/2108.07951v1

    • [cs.LG]M-ar-K-Fast Independent Component Analysis
    Luca Parisi
    http://arxiv.org/abs/2108.07908v1

    • [cs.LG]O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed
    Mengquan Li, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, Yingyan Lin
    http://arxiv.org/abs/2108.07538v1

    • [cs.LG]On the Opportunities and Risks of Foundation Models
    Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang
    http://arxiv.org/abs/2108.07258v2

    • [cs.LG]Out-of-Distribution Detection using Outlier Detection Methods
    Jan Diers, Christian Pigorsch
    http://arxiv.org/abs/2108.08218v1

    • [cs.LG]RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
    Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
    http://arxiv.org/abs/2108.08019v1

    • [cs.LG]RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
    Feng Sun, Ajith Kumar V, Guanci Yang, Qikui Zhu, Yiyun Zhang, Ansi Zhang, Dhruv Makwana
    http://arxiv.org/abs/2108.07481v1

    • [cs.LG]Stack Index Prediction Using Time-Series Analysis
    Raja CSP Raman, Rohith Mahadevan, Divya Perumal, Vedha Sankar, Talha Abdur Rahman
    http://arxiv.org/abs/2108.08120v1

    • [cs.LG]Statistically Near-Optimal Hypothesis Selection
    Olivier Bousquet, Mark Braverman, Klim Efremenko, Gillat Kol, Shay Moran
    http://arxiv.org/abs/2108.07880v1

    • [cs.LG]Stochastic Cluster Embedding
    Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
    http://arxiv.org/abs/2108.08003v1

    • [cs.LG]Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
    Fei Zheng, Chaochao Chen, Xiaolin Zheng
    http://arxiv.org/abs/2108.07463v2

    • [cs.LG]Transformers predicting the future. Applying attention in next-frame and time series forecasting
    Radostin Cholakov, Todor Kolev
    http://arxiv.org/abs/2108.08224v1

    • [cs.LG]Variational Graph Normalized Auto-Encoders
    Seong Jin Ahn, Myoung Ho Kim
    http://arxiv.org/abs/2108.08046v1

    • [cs.LG]Verifying Low-dimensional Input Neural Networks via Input Quantization
    Kai Jia, Martin Rinard
    http://arxiv.org/abs/2108.07961v1

    • [cs.LG]XAI Methods for Neural Time Series Classification: A Brief Review
    Ilija Šimić, Vedran Sabol, Eduardo Veas
    http://arxiv.org/abs/2108.08009v1

    • [cs.MM]Fighting Game Commentator with Pitch and Loudness Adjustment Utilizing Highlight Cues
    Junjie H. Xu, Zhou Fang, Qihang Chen, Satoru Ohno, Pujana Paliyawan
    http://arxiv.org/abs/2108.08112v1

    • [cs.PL]Higher-Order Concurrency for Microcontrollers
    Abhiroop Sarkar, Robert Krook, Bo Joel Svensson, Mary Sheeran
    http://arxiv.org/abs/2108.07805v1

    • [cs.RO]ARDOP: A Versatile Humanoid Robotic Research Platform
    Sudarshan S Harithas, Harish V Mekali
    http://arxiv.org/abs/2108.07983v1

    • [cs.RO]An Empirical Testing of Autonomous Vehicle Simulator System for Urban Driving
    John Seymour, Dac-Thanh-Chuong Ho, Quang-Hung Luu
    http://arxiv.org/abs/2108.07910v1

    • [cs.RO]Combining Local and Global Viewpoint Planning for Fruit Coverage
    Tobias Zaenker, Chris Lehnert, Chris McCool, Maren Bennewitz
    http://arxiv.org/abs/2108.08114v1

    • [cs.RO]EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environments
    Wenchao Ding, Lu Zhang, Jing Chen, Shaojie Shen
    http://arxiv.org/abs/2108.07993v1

    • [cs.RO]Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification
    Russell Buchanan, Jakub Bednarek, Marco Camurri, Michał R. Nowicki, Krzysztof Walas, Maurice Fallon
    http://arxiv.org/abs/2108.08015v1

    • [cs.RO]Optimised Informed RRTs for Mobile Robot Path Planning
    Bongani B. Maseko, Corné E. van Daalen, Johann Treurnicht
    http://arxiv.org/abs/2108.08051v1

    • [cs.RO]PerceMon: Online Monitoring for Perception Systems
    Anand Balakrishnan, Jyotirmoy Deshmukh, Bardh Hoxha, Tomoya Yamaguchi, Georgios Fainekos
    http://arxiv.org/abs/2108.08289v1

    • [cs.RO]Trust, Acceptance and Social Cues in Human-Robot Interaction 2021 — SCRITA
    Alessandra Rossi, Patrick Holthaus, Sílvia Moros, Marcus Scheunemann, Gabriella Lakatos
    http://arxiv.org/abs/2108.08092v1

    • [cs.SD]Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model
    Chiranjibi Sitaula, Jinyuan He, Archana Priyadarshi, Mark Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair McEwan, Faezeh Marzbanrad
    http://arxiv.org/abs/2108.07467v1

    • [cs.SE]DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
    Triet H. M. Le, David Hin, Roland Croft, M. Ali Babar
    http://arxiv.org/abs/2108.08041v1

    • [cs.SE]Infrastructure in Code: Towards Developer-Friendly Cloud Applications
    Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, Timofey Bryksin
    http://arxiv.org/abs/2108.07842v1

    • [cs.SI]Hyperbolic Hypergraphs for Sequential Recommendation
    Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
    http://arxiv.org/abs/2108.08134v1

    • [cs.SI]On the Virality of Animated GIFs on Tumblr
    Yunseok Jang, Yale Song, Gunhee Kim
    http://arxiv.org/abs/2108.07894v1

    • [cs.SI]Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
    Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong
    http://arxiv.org/abs/2108.06975v2

    • [econ.GN]Tilted Platforms: Rental Housing Technology and the Rise of Urban Big Data Oligopolies
    Geoff Boeing, Max Besbris, David Wachsmuth, Jake Wegmann
    http://arxiv.org/abs/2108.08229v1

    • [eess.IV]A New Journey from SDRTV to HDRTV
    Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong
    http://arxiv.org/abs/2108.07978v1

    • [eess.IV]A Simple Framework for 3D Lensless Imaging with Programmable Masks
    Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan, M. Salman Asif
    http://arxiv.org/abs/2108.07966v1

    • [eess.IV]Calibration Method of the Monocular Omnidirectional Stereo Camera
    Ryota Kawamata, Keiichi Betsui, Kazuyoshi Yamazaki, Rei Sakakibara, Takeshi Shimano
    http://arxiv.org/abs/2108.07936v1

    • [eess.IV]DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM
    Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Thiab Taha, Khaled Rasheed, Hamid R. Arabnia
    http://arxiv.org/abs/2108.08095v1

    • [eess.IV]Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
    Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
    http://arxiv.org/abs/2108.08286v1

    • [eess.IV]Gastric Cancer Detection from X-ray Images Using Effective Data Augmentation and Hard Boundary Box Training
    Hideaki Okamoto, Takakiyo Nomura, Kazuhito Nabeshima, Jun Hashimoto, Hitoshi Iyatomi
    http://arxiv.org/abs/2108.08158v1

    • [eess.IV]Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
    Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo
    http://arxiv.org/abs/2108.07948v1

    • [eess.IV]OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting
    Michael Fitzke, Derick Whitley, Wilson Yau, Fernando Rodrigues Jr, Vladimir Fadeev, Cindy Bacmeister, Chris Carter, Jeffrey Edwards, Matthew P. Lungren, Mark Parkinson
    http://arxiv.org/abs/2108.07856v1

    • [eess.IV]Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation
    Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu
    http://arxiv.org/abs/2108.08202v1
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    • [eess.IV]Thermal Image Processing via Physics-Inspired Deep Networks
    Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard Baraniuk
    http://arxiv.org/abs/2108.07973v1

    • [eess.SP]An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
    Yankun Xu, Jie Yang, Shiqi Zhao, Hemmings Wu, Mohamad Sawan
    http://arxiv.org/abs/2108.07453v1

    • [eess.SP]Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series
    Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen
    http://arxiv.org/abs/2108.08180v1

    • [eess.SY]Nonlinear Autoregression with Convergent Dynamics on Novel Computational Platforms
    J. Chen, H. I. Nurdin
    http://arxiv.org/abs/2108.08001v1

    • [eess.SY]Scalable regret for learning to control network-coupled subsystems with unknown dynamics
    Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
    http://arxiv.org/abs/2108.07970v1

    • [math.CO]Algorithmic techniques for finding resistance distances on structured graphs
    E. J. Evans, A. E. Francis
    http://arxiv.org/abs/2108.07942v1

    • [math.PR]Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle
    Nikita Zhivotovskiy
    http://arxiv.org/abs/2108.08198v1

    • [math.ST]On the variability of the sample covariance matrix under complex elliptical distributions
    Elias Raninen, Esa Ollila, David E. Tyler
    http://arxiv.org/abs/2108.08047v1

    • [physics.optics]Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
    Deniz Mengu, Muhammed Veli, Yair Rivenson, Aydogan Ozcan
    http://arxiv.org/abs/2108.07977v1

    • [physics.soc-ph]Predicting Dynamic Stability of Power Grids using Graph Neural Networks
    Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann
    http://arxiv.org/abs/2108.08230v1

    • [q-bio.NC]Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks
    Mariana Da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson
    http://arxiv.org/abs/2108.08214v1

    • [q-bio.PE]Effective and scalable clustering of SARS-CoV-2 sequences
    Sarwan Ali, Tamkanat-E-Ali, Muhammad Asad Khan, Imdadullah Khan, Murray Patterson
    http://arxiv.org/abs/2108.08143v1

    • [q-bio.QM]Towards Interpreting Zoonotic Potential of Betacoronavirus Sequences With Attention
    Kahini Wadhawan, Payel Das, Barbara A. Han, Ilya R. Fischhoff, Adrian C. Castellanos, Arvind Varsani, Kush R. Varshney
    http://arxiv.org/abs/2108.08077v1

    • [quant-ph]A comparative study of universal quantum computing models: towards a physical unification
    D. -S. Wang
    http://arxiv.org/abs/2108.07909v1

    • [stat.ME]A Model for Bimodal Rates and Proportions
    Roberto Vila, Lucas Alfaia, André F. B. Menezes, Mehmet N. Çankaya, Marcelo Bourguignon
    http://arxiv.org/abs/2108.07934v1

    • [stat.ME]Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics
    Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos
    http://arxiv.org/abs/2108.08247v1

    • [stat.ME]Multiple two-sample testing under arbitrary covariance dependency with an application in imaging mass spectrometry
    Vladimir Vutov, Thorsten Dickhaus
    http://arxiv.org/abs/2108.08123v1

    • [stat.ME]On variance estimation for the one-sample log-rank test
    Moritz Fabian Danzer, Andreas Faldum, Rene Schmidt
    http://arxiv.org/abs/2108.08194v1

    • [stat.ME]Stable combination tests
    Xing Ling, Yeonwoo Rho
    http://arxiv.org/abs/2108.07876v1

    • [stat.ME]Stochastic loss reserving with mixture density neural networks
    Muhammed Taher Al-Mudafer, Benjamin Avanzi, Greg Taylor, Bernard Wong
    http://arxiv.org/abs/2108.07924v1

    • [stat.ME]Weak signal identification and inference in penalized likelihood models for categorical responses
    Yuexia Zhang, Peibei Shi, Zhongyi Zhu, Linbo Wang, Annie Qu
    http://arxiv.org/abs/2108.07940v1

    • [stat.ML]Aggregated Customer Engagement Model
    Priya Gupta, Cuize Han
    http://arxiv.org/abs/2108.07872v1

    • [stat.ML]Combining K-means type algorithms with Hill Climbing for Joint Stratification and Sample Allocation Designs
    Mervyn O’Luing, Steven Prestwich, S. Armagan Tarim
    http://arxiv.org/abs/2108.08038v1

    • [stat.ML]Moser Flow: Divergence-based Generative Modeling on Manifolds
    Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
    http://arxiv.org/abs/2108.08052v1

    • [stat.ML]On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
    Khang Le, Huy Nguyen, Tung Pham, Nhat Ho
    http://arxiv.org/abs/2108.07992v1

    • [stat.ML]Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
    George Deligiannidis, Valentin De Bortoli, Arnaud Doucet
    http://arxiv.org/abs/2108.08129v1

    • [stat.ML]Semantic Perturbations with Normalizing Flows for Improved Generalization
    Oguz Kaan Yuksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova
    http://arxiv.org/abs/2108.07958v1