astro-ph.IM - 仪器仪表和天体物理学方法
    cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.DC - 分布式、并行与集群计算
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SI - 社交网络与信息网络
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    eess.SY - 系统和控制
    math.ST - 统计理论
    quant-ph - 量子物理
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [astro-ph.IM]From One to Many: A Deep Learning Coincident Gravitational-Wave Search
    • [cs.AI]Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems
    • [cs.AI]Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
    • [cs.AI]Knowledge-based XAI through CBR: There is more to explanations than mod
    857
    els can tell
    • [cs.AI]Longitudinal Distance: Towards Accountable Instance Attribution
    • [cs.CL]Are the Multilingual Models Better? Improving Czech Sentiment with Transformers
    • [cs.CL]ComSum: Commit Messages Summarization and Meaning Preservation
    • [cs.CL]Density-Based Dynamic Curriculum Learning for Intent Detection
    • [cs.CL]Detection of Criminal Texts for the Polish State Border Guard
    • [cs.CL]Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models
    • [cs.CL]Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages
    • [cs.CL]More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models
    • [cs.CL]Prompt-Learning for Fine-Grained Entity Typing
    • [cs.CL]Recurrent multiple shared layers in Depth for Neural Machine Translation
    • [cs.CL]Reducing Exposure Bias in Training Recurrent Neural Network Transducers
    • [cs.CL]Regularizing Transformers With Deep Probabilistic Layers
    • [cs.CL]Relation Extraction from Tables using Artificially Generated Metadata
    • [cs.CL]Taming the Beast: Learning to Control Neural Conversational Models
    • [cs.CL]Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT
    • [cs.CR]On the linear complexity of feedforward clock-controlled sequence
    • [cs.CV]A Benchmark for Spray from Nearby Cutting Vehicles
    • [cs.CV]A QuadTree Image Representation for Computational Pathology
    • [cs.CV]ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones
    • [cs.CV]Are socially-aware trajectory prediction models really socially-aware?
    • [cs.CV]Auto-Parsing Network for Image Captioning and Visual Question Answering
    • [cs.CV]Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
    • [cs.CV]CoverTheFace: face covering monitoring and demonstrating using deep learning and statistical shape analysis
    • [cs.CV]DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
    • [cs.CV]Deep neural networks approach to microbial colony detection — a comparative analysis
    • [cs.CV]DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
    • [cs.CV]Dense Optical Flow from Event Cameras
    • [cs.CV]Dynamic Network Quantization for Efficient Video Inference
    • [cs.CV]Full-Velocity Radar Returns by Radar-Camera Fusion
    • [cs.CV]Improving 3D Object Detection with Channel-wise Transformer
    • [cs.CV]Improving Object Detection by Label Assignment Distillation
    • [cs.CV]Interpreting Face Inference Models using Hierarchical Network Dissection
    • [cs.CV]Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting
    • [cs.CV]LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
    • [cs.CV]Learning Motion Priors for 4D Human Body Capture in 3D Scenes
    • [cs.CV]Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
    • [cs.CV]MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
    • [cs.CV]Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
    • [cs.CV]Making Person Search Enjoy the Merits of Person Re-identification
    • [cs.CV]Marine vessel tracking using a monocular camera
    • [cs.CV]Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
    • [cs.CV]Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery
    • [cs.CV]ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
    • [cs.CV]Pen Spinning Hand Movement Analysis Using MediaPipe Hands
    • [cs.CV]PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation
    • [cs.CV]Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems
    • [cs.CV]Realistic Image Synthesis with Configurable 3D Scene Layouts
    • [cs.CV]Reconcile Prediction Consistency for Balanced Object Detection
    • [cs.CV]ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
    • [cs.CV]Small Object Detection Based on Modified FSSD and Model Compression
    • [cs.CV]Spatio-Temporal Self-Attention Network for Video Saliency Prediction
    • [cs.CV]StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures
    • [cs.CV]Support-Set Based Cross-Supervision for Video Grounding
    • [cs.CV]Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
    • [cs.CV]Unsupervised Depth Completion with Calibrated Backprojection Layers
    • [cs.CV]edge-SR: Super-Resolution For The Masses
    • [cs.CV]imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose
    • [cs.DC]An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media
    • [cs.DC]Communication-hiding pipelined BiCGSafe methods for solving large linear systems
    • [cs.DC]Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures
    • [cs.DC]Federated Learning for Open Banking
    • [cs.DC]Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
    • [cs.DC]The Case for Task Sampling based Learning for Cluster Job Scheduling
    • [cs.DC]The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
    • [cs.DC]Towards Predictive Replica Placement for Distributed Data Stores in Fog Environments
    • [cs.IR]CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
    • [cs.IR]Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
    • [cs.IR]Counterfactual Explainable Recommendation
    • [cs.IR]Evaluating Fairness in Argument Retrieval
    • [cs.IR]Query Embedding Pruning for Dense Retrieval
    • [cs.IR]Self-Supervised Graph Co-Training for Session-based Recommendation
    • [cs.IT]A Generalization of the ASR Search Algorithm to 2-Generator Quasi-Twisted Codes
    • [cs.IT]A Random Geometric Model of Blockages in Vehicular Networks
    • [cs.IT]Modulating Intelligent Surfaces for Multi-User MIMO Systems: Beamforming and Modulation Design
    • [cs.IT]Multi-Dimensional Multiple Access with Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G
    • [cs.IT]On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem
    • [cs.IT]On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration
    • [cs.IT]Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels
    • [cs.IT]Spectral Efficiency Analysis of Cell-free Distributed Massive MIMO Systems with Imperfect Covariance Matrix
    • [cs.LG]Adaptation-Agnostic Meta-Training
    • [cs.LG]Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts
    • [cs.LG]Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
    • [cs.LG]Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank
    • [cs.LG]Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
    • [cs.LG]Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
    • [cs.LG]Data Aggregation for Reducing Training Data in Symbolic Regression
    • [cs.LG]Data-Free Evaluation of User Contributions in Federated Learning
    • [cs.LG]Deep Signature FBSDE Algorithm
    • [cs.LG]DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
    • [cs.LG]Efficient Gaussian Neural Processes for Regression
    • [cs.LG]Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models
    • [cs.LG]Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
    • [cs.LG]Explaining Bayesian Neural Networks
    • [cs.LG]Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
    • [cs.LG]Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
    • [cs.LG]Graph Contrastive Pre-training for Effective Theorem Reasoning
    • [cs.LG]Graph Neural Networks: Methods, Applications, and Opportunities
    • [cs.LG]Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification
    • [cs.LG]Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation
    • [cs.LG]Interpretable deep-learning models to help achieve the Sustainable Development Goals
    • [cs.LG]Jointly Learnable Data Augmentations for Self-Supervised GNNs
    • [cs.LG]L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients
    • [cs.LG]Maximum Likelihood Estimation for Multimodal Learning with Missing Modality
    • [cs.LG]On the Effectiveness of Genetic Operations in Symbolic Regression
    • [cs.LG]Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding
    • [cs.LG]Pooling Architecture Search for Graph Classification
    • [cs.LG]Power Grid Cascading Failure Mitigation by Reinforcement Learning
    • [cs.LG]Predicting Vehicles’ Longitudinal Trajectories and Lane Changes on Highway On-Ramps
    • [cs.LG]ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability
    • [cs.LG]REFINE: Random RangE FInder for Network Embedding
    • [cs.LG]Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives
    • [cs.LG]Robust Risk-Aware Reinforcement Learning
    • [cs.LG]SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
    • [cs.LG]SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm
    • [cs.LG]The staircase property: How hierarchical structure can guide deep learning
    • [cs.LG]Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach
    • [cs.LG]Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
    • [cs.LG]sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
    • [cs.NI]Outdoor Position Recovery from HeterogeneousTelco Cellular Data
    • [cs.RO]A generalized stacked reinforcement learning method for sampled systems
    • [cs.RO]Design and integration of end-effector for 3D printing of novel UV-curable shape memory polymers with a collaborative robotic system
    • [cs.RO]HapticBots: Distributed Encountered-type Haptics for VR with Multiple Shape-changing Mobile Robots
    • [cs.RO]Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
    • [cs.RO]Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
    • [cs.RO]Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies
    • [cs.RO]Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot
    • [cs.RO]Next-generation perception system for automated defects detection in composite laminates via polarized computational imaging
    • [cs.SD]Differential Music: Automated Music Generation Using LSTM Networks with Representation Based on Melodic and Harmonic Intervals
    • [cs.SD]One TTS Alignment To Rule Them All
    • [cs.SI]Gender-based occupational segregation: a bit string approach
    • [eess.AS]End-to-End Open Vocabulary Keyword Search
    • [eess.AS]Learning Sparse Analytic Filters for Piano Transcription
    • [eess.IV]A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
    • [eess.IV]All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
    • [eess.IV]DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
    • [eess.IV]Image-free single-pixel segmentation
    • [eess.IV]Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
    • [eess.IV]Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model
    • [eess.SP]Communication Modes with Large Intelligent Surfaces in the Near Field
    • [eess.SP]MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints
    • [eess.SY]Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration
    • [math.ST]On the use of Markovian stick-breaking priors
    • [math.ST]Phase Transitions for High-Dimensional Quadratic Discriminant Analysis with Rare and Weak Signals
    • [math.ST]State estimation for aoristic models
    • [quant-ph]Adaptive shot allocation for fast convergence in variational quantum algorithms
    • [quant-ph]Quantum adaptive agents with efficient long-term memories
    • [stat.ME]A 2-stage elastic net algorithm for estimation of sparse networks with heavy tailed data
    • [stat.ME]A Generalized Knockoff Procedure for FDR Control in Structural Change Detection
    • [stat.ME]Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints
    • [stat.ME]Quantification of intrinsic quality of a principal dimension in correspondence analysis and taxicab correspondence analysis
    • [stat.ME]Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
    • [stat.ML]GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations
    • [stat.ML]Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
    • [stat.ML]S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data
    • [stat.ML]Stochastic Treatment Recommendation with Deep Survival Dose Response Function (DeepSDRF)

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

    • [astro-ph.IM]From One to Many: A Deep Learning Coincident Gravitational-Wave Search
    Marlin B. Schäfer, Alexander H. Nitz
    http://arxiv.org/abs/2108.10715v1

    • [cs.AI]Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems
    Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang
    http://arxiv.org/abs/2108.10851v1

    • [cs.AI]Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
    Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu
    http://arxiv.org/abs/2108.10818v1

    • [cs.AI]Knowledge-based XAI through CBR: There is more to explanations than mod
    857
    els can tell
    Rosina Weber, Manil Shrestha, Adam J Johs
    http://arxiv.org/abs/2108.10363v1

    • [cs.AI]Longitudinal Distance: Towards Accountable Instance Attribution
    Rosina O. Weber, Prateek Goel, Shideh Amiri, Gideon Simpson
    http://arxiv.org/abs/2108.10437v1

    • [cs.CL]Are the Multilingual Models Better? Improving Czech Sentiment with Transformers
    Pavel Přibáň, Josef Steinberger
    http://arxiv.org/abs/2108.10640v1

    • [cs.CL]ComSum: Commit Messages Summarization and Meaning Preservation
    Leshem Choshen, Idan Amit
    http://arxiv.org/abs/2108.10763v1

    • [cs.CL]Density-Based Dynamic Curriculum Learning for Intent Detection
    Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang
    http://arxiv.org/abs/2108.10674v1

    • [cs.CL]Detection of Criminal Texts for the Polish State Border Guard
    Artur Nowakowski, Krzysztof Jassem
    http://arxiv.org/abs/2108.10580v1

    • [cs.CL]Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models
    Chloe Ciora, Nur Iren, Malihe Alikhani
    http://arxiv.org/abs/2108.10379v1

    • [cs.CL]Morality-based Assertion and Homophily on Social Media: A Cultural Comparison between English and Japanese Languages
    Maneet Singh, Rishemjit Kaur, Akiko Matsuo, S. R. S. Iyengar, Kazutoshi Sasahara
    http://arxiv.org/abs/2108.10643v1

    • [cs.CL]More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models
    Jin Cheevaprawatdomrong, Alexandra Schofield, Attapol T. Rutherford
    http://arxiv.org/abs/2108.10755v1

    • [cs.CL]Prompt-Learning for Fine-Grained Entity Typing
    Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim
    http://arxiv.org/abs/2108.10604v1

    • [cs.CL]Recurrent multiple shared layers in Depth for Neural Machine Translation
    GuoLiang Li, Yiyang Li
    http://arxiv.org/abs/2108.10417v1

    • [cs.CL]Reducing Exposure Bias in Training Recurrent Neural Network Transducers
    Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltan Tuske
    http://arxiv.org/abs/2108.10803v1

    • [cs.CL]Regularizing Transformers With Deep Probabilistic Layers
    Aurora Cobo Aguilera, Pablo Martínez Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
    http://arxiv.org/abs/2108.10764v1

    • [cs.CL]Relation Extraction from Tables using Artificially Generated Metadata
    Gaurav singh, Siffi Singh, Joshua Wong, Amir Saffari
    http://arxiv.org/abs/2108.10750v1

    • [cs.CL]Taming the Beast: Learning to Control Neural Conversational Models
    Andrea Madotto
    http://arxiv.org/abs/2108.10561v1

    • [cs.CL]Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT
    Peiling Yi, Arkaitz Zubiaga
    http://arxiv.org/abs/2108.10619v1

    • [cs.CR]On the linear complexity of feedforward clock-controlled sequence
    Yangpan Zhang, Maozhi Xu
    http://arxiv.org/abs/2108.10770v1

    • [cs.CV]A Benchmark for Spray from Nearby Cutting Vehicles
    Stefanie Walz, Mario Bijelic, Florian Kraus, Werner Ritter, Martin Simon, Igor Doric
    http://arxiv.org/abs/2108.10800v1

    • [cs.CV]A QuadTree Image Representation for Computational Pathology
    Rob Jewsbury, Abhir Bhalerao, Nasir Rajpoot
    http://arxiv.org/abs/2108.10873v1

    • [cs.CV]ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones
    Shan An, Guangfu Che, Jinghao Guo, Haogang Zhu, Junjie Ye, Fangru Zhou, Zhaoqi Zhu, Dong Wei, Aishan Liu, Wei Zhang
    http://arxiv.org/abs/2108.10515v1

    • [cs.CV]Are socially-aware trajectory prediction models really socially-aware?
    Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi, Mohammad Saneian, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi
    http://arxiv.org/abs/2108.10879v1

    • [cs.CV]Auto-Parsing Network for Image Captioning and Visual Question Answering
    Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai
    http://arxiv.org/abs/2108.10568v1

    • [cs.CV]Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
    Ning-Hsu Wang, Ren Wang, Yu-Lun Liu, Yu-Hao Huang, Yu-Lin Chang, Chia-Ping Chen, Kevin Jou
    http://arxiv.org/abs/2108.10843v1

    • [cs.CV]CoverTheFace: face covering monitoring and demonstrating using deep learning and statistical shape analysis
    Yixin Hu, Xingyu Li
    http://arxiv.org/abs/2108.10430v1

    • [cs.CV]DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
    Zachary Teed, Jia Deng
    http://arxiv.org/abs/2108.10869v1

    • [cs.CV]Deep neural networks approach to microbial colony detection — a comparative analysis
    Sylwia Majchrowska, Jarosław Pawłowski, Natalia Czerep, Aleksander Górecki, Jakub Kuciński, Tomasz Golan
    http://arxiv.org/abs/2108.10103v2

    • [cs.CV]DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
    Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang
    http://arxiv.org/abs/2108.10743v1

    • [cs.CV]Dense Optical Flow from Event Cameras
    Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
    http://arxiv.org/abs/2108.10552v1

    • [cs.CV]Dynamic Network Quantization for Efficient Video Inference
    Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko
    http://arxiv.org/abs/2108.10394v1

    • [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/org/abs/2108.10637v1

    • [cs.CV]Improving 3D Object Detection with Channel-wise Transformer
    Hualian Sheng, Sijia
    334
    Cai, Yuan Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao
    http://arxiv.org/abs/2108.10723v1

    • [cs.CV]Improving Object Detection by Label Assignment Distillation
    Chuong H. Nguyen, Thuy C. Nguyen, Tuan N. Tang, Nam L. H. Phan
    http://arxiv.org/abs/2108.10520v1

    • [cs.CV]Interpreting Face Inference Models using Hierarchical Network Dissection
    Divyang Teotia, Agata Lapedriza, Sarah Ostadabbas
    http://arxiv.org/abs/2108.10360v1

    • [cs.CV]Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting
    Oluwafunmilola Kesa, Olly Styles, Victor Sanchez
    http://arxiv.org/abs/2108.10543v1

    • [cs.CV]LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
    Xinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, Wenli Zhou
    http://arxiv.org/abs/2108.10831v1

    • [cs.CV]Learning Motion Priors for 4D Human Body Capture in 3D Scenes
    Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu Tang
    http://arxiv.org/abs/2108.10399v1

    • [cs.CV]Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
    Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu
    http://arxiv.org/abs/2108.10378v1

    • [cs.CV]MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
    Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
    http://arxiv.org/abs/2108.10709v1

    • [cs.CV]Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
    Andrea Hornakova, Timo Kaiser, Paul Swoboda, Michal Rolinek, Bodo Rosenhahn, Roberto Henschel
    http://arxiv.org/abs/2108.10606v1

    • [cs.CV]Making Person Search Enjoy the Merits of Person Re-identification
    Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng
    http://arxiv.org/abs/2108.10536v1

    • [cs.CV]Marine vessel tracking using a monocular camera
    Tobias Jacob, Raffaele Galliera, Muddasar Ali, Sikha Bagui
    http://arxiv.org/abs/2108.10367v1

    • [cs.CV]Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
    Shuhao Qiu, Chuang Zhu, Wenli Zhou
    http://arxiv.org/abs/2108.10840v1

    • [cs.CV]Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery
    Xue Hu, Anh Nguyen, Ferdinando Rodriguez y Baena
    http://arxiv.org/abs/2108.10608v1

    • [cs.CV]ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
    Zhiwu Qing, Ziyuan Huang, Shiwei Zhang, Mingqian Tang, Changxin Gao, Marcelo H. Ang Jr, Rong Ji, Nong Sang
    http://arxiv.org/abs/2108.10501v1

    • [cs.CV]Pen Spinning Hand Movement Analysis Using MediaPipe Hands
    Tung-Lin Wu, Taishi Senda
    http://arxiv.org/abs/2108.10716v1

    • [cs.CV]PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation
    Fadi Boutros, Patrick Siebke, Marcel Klemt, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
    http://arxiv.org/abs/2108.10710v1

    • [cs.CV]Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems
    Shan An, Fangru Zhou, Mei Yang, Haogang Zhu, Changhong Fu, Konstantinos A. Tsintotas
    http://arxiv.org/abs/2108.10506v1

    • [cs.CV]Realistic Image Synthesis with Configurable 3D Scene Layouts
    Jaebong Jeong, Janghun Jo, Jingdong Wang, Sunghyun Cho, Jaesik Park
    http://arxiv.org/abs/2108.10031v2

    • [cs.CV]Reconcile Prediction Consistency for Balanced Object Detection
    Keyang Wang, Lei Zhang
    http://arxiv.org/abs/2108.10809v1

    • [cs.CV]ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
    Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li
    http://arxiv.org/abs/2108.10528v1

    • [cs.CV]Small Object Detection Based on Modified FSSD and Model Compression
    Qingcai Wang, Hao Zhang, Xianggong Hong, Qinqin Zhou
    http://arxiv.org/abs/2108.10503v1

    • [cs.CV]Spatio-Temporal Self-Attention Network for Video Saliency Prediction
    Ziqiang Wang, Zhi Liu, Gongyang Li, Tianhong Zhang, Lihua Xu, Jijun Wang
    http://arxiv.org/abs/2108.10696v1

    • [cs.CV]StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures
    Sanghyuk Chun, Song Park
    http://arxiv.org/abs/2108.10549v1

    • [cs.CV]Support-Set Based Cross-Supervision for Video Grounding
    Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao
    http://arxiv.org/abs/2108.10576v1

    • [cs.CV]Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
    Weixin Feng, Yuanjiang Wang, Lihua Ma, Ye Yuan, Chi Zhang
    http://arxiv.org/abs/2108.10668v1

    • [cs.CV]Unsupervised Depth Completion with Calibrated Backprojection Layers
    Alex Wong, Stefano Soatto
    http://arxiv.org/abs/2108.10531v1

    • [cs.CV]edge-SR: Super-Resolution For The Masses
    Pablo Navarrete Michelini, Yunhua Lu, Xingqun Jiang
    http://arxiv.org/abs/2108.10335v1

    • [cs.CV]imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose
    Thiemo Alldieck, Hongyi Xu, Cristian Sminchisescu
    http://arxiv.org/abs/2108.10842v1

    • [cs.DC]An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media
    Sebastian Wolf, Martin Galis, Carten Uphoff, Alice-Agnes Gabriel, Peter Moczo, David Gregor, Michael Bader
    http://arxiv.org/abs/2108.10565v1

    • [cs.DC]Communication-hiding pipelined BiCGSafe methods for solving large linear systems
    Viet Q. H. Huynh, Hiroshi Suito
    http://arxiv.org/abs/2108.10591v1

    • [cs.DC]Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures
    Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen
    http://arxiv.org/abs/2108.10721v1

    • [cs.DC]Federated Learning for Open Banking
    Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang
    http://arxiv.org/abs/2108.10749v1

    • [cs.DC]Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
    Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang
    http://arxiv.org/abs/2108.10761v1

    • [cs.DC]The Case for Task Sampling based Learning for Cluster Job Scheduling
    Akshay Jajoo, Y. Charlie Hu, Xiaojun Lin, Nan Deng
    http://arxiv.org/abs/2108.10464v1

    • [cs.DC]The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
    Valerie Hayot-Sasson, Tristan Glatard, Ariel Rokem
    http://arxiv.org/abs/2108.10496v1

    • [cs.DC]Towards Predictive Replica Placement for Distributed Data Stores in Fog Environments
    Tobias Pfandzelter, David Bermbach
    http://arxiv.org/abs/2108.10628v1

    • [cs.IR]CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation
    Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
    http://arxiv.org/abs/2108.10511v1

    • [cs.IR]Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
    Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang
    http://arxiv.org/abs/2108.10510v1

    • [cs.IR]Counterfactual Explainable Recommendation
    Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
    http://arxiv.org/abs/2108.10539v1

    • [cs.IR]Evaluating Fairness in Argument Retrieval
    Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer, W. Bruce Croft
    http://arxiv.org/abs/2108.10442v1

    • [cs.IR]Query Embedding Pruning for Dense Retrieval
    Nicola Tonellotto, Craig Macdonald
    http://arxiv.org/abs/2108.10341v1

    • [cs.IR]Self-Supervised Graph Co-Training for Session-based Recommendation
    Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
    http://arxiv.org/abs/2108.10560v1

    • [cs.IT]A Generalization of the ASR Search Algorithm to 2-Generator Quasi-Twisted Codes
    Dev Akre, Nuh Aydin, Matthew J. Harrington, Saurav R. Pandey
    http://arxiv.org/abs/2108.10316v1

    • [cs.IT]A Random Geometric Model of Blockages in Vehicular Networks
    Chang-Sik Choi, François Baccelli
    http://arxiv.org/abs/2108.10632v1

    • [cs.IT]Modulating Intelligent Surfaces for Multi-User MIMO Systems: Beamforming and Modulation Design
    Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani, Ekram Hossain
    http://arxiv.org/abs/2108.10505v1

    • [cs.IT]Multi-Dimensional Multiple Access with Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G
    Jie Mei, Wudan Han, Xianbin Wang, H. Vincent Poor
    http://arxiv.org/abs/2108.10396v1

    • [cs.IT]On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem
    Hanshen Xiao, Yaowen Zhang, Guoqiang Xiao
    http://arxiv.org/abs/2108.10423v1

    • [cs.IT]On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration
    Hanshen Xiao, Beining Zhou, Guoqiang Xiao
    http://arxiv.org/abs/2108.10425v1

    • [cs.IT]Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels
    Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran
    http://arxiv.org/abs/2108.10688v1

    • [cs.IT]Spectral Efficiency Analysis of Cell-free Distributed Massive MIMO Systems with Imperfect Covariance Matrix
    Feng Ye, Jiamin Li, Pengcheng Zhu, Dongming Wang, Xiaohu You
    http://arxiv.org/abs/2108.10574v1

    • [cs.LG]Adaptation-Agnostic Meta-Training
    Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung
    http://arxiv.org/abs/2108.10557v1

    • [cs.LG]Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts
    Yujiang He
    http://arxiv.org/abs/2108.10781v1

    • [cs.LG]Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
    Lam Si Tung Ho, Giang Tran
    http://arxiv.org/abs/2108.10825v1

    • [cs.LG]Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank
    Kishan Wimalawarne, Taiji Suzuki
    http://arxiv.org/abs/2108.10636v1

    • [cs.LG]Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
    Wenjie Ruan, Xinping Yi, Xiaowei Huang
    http://arxiv.org/abs/2108.10451v1

    • [cs.LG]Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
    Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
    http://arxiv.org/abs/2108.10521v1

    • [cs.LG]Data Aggregation for Reducing Training Data in Symbolic Regression
    Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
    http://arxiv.org/abs/2108.10660v1

    • [cs.LG]Data-Free Evaluation of User Contributions in Federated Learning
    Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
    http://arxiv.org/abs/2108.10623v1

    • [cs.LG]Deep Signature FBSDE Algorithm
    Qi Feng, Man Luo, Zhaoyu Zhang
    http://arxiv.org/abs/2108.10504v1

    • [cs.LG]DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
    Luigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci
    http://arxiv.org/abs/2108.10600v1

    • [cs.LG]Efficient Gaussian Neural Processes for Regression
    Stratis Markou, James Requeima, Wessel Bruinsma, Richard Turner
    http://arxiv.org/abs/2108.09676v2

    • [cs.LG]Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models
    Hala Hamdoun, Alaa Sagheer, Hassan Youness
    http://arxiv.org/abs/2108.10663v1

    • [cs.LG]Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
    Sooyoung Jang, Hyung-Il Kim
    http://arxiv.org/abs/2108.10533v1

    • [cs.LG]Explaining Bayesian Neural Networks
    Kirill Bykov, Marina M. -C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft
    http://arxiv.org/abs/2108.10346v1

    • [cs.LG]Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition
    HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
    http://arxiv.org/abs/2108.10448v1

    • [cs.LG]Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
    Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr Al-Abbasi, Ridha Hamila, Aiman Erbad
    http://arxiv.org/abs/2108.10748v1

    • [cs.LG]Graph Contrastive Pre-training for Effective Theorem Reasoning
    Zhaoyu Li, Binghong Chen, Xujie Si
    http://arxiv.org/abs/2108.10821v1

    • [cs.LG]Graph Neural Networks: Methods, Applications, and Opportunities
    Lilapati Waikhom, Ripon Patgiri
    http://arxiv.org/abs/2108.10733v1

    • [cs.LG]Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification
    Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
    http://arxiv.org/abs/2108.10427v1

    • [cs.LG]Greenformers: Improving Computation and Memory Efficiency in Transformer Models via Low-Rank Approximation
    Samuel Cahyawijaya
    http://arxiv.org/abs/2108.10808v1

    • [cs.LG]Interpretable deep-learning models to help achieve the Sustainable Development Goals
    Ricardo Vinuesa, Beril Sirmacek
    http://arxiv.org/abs/2108.10744v1

    • [cs.LG]Jointly Learnable Data Augmentations for Self-Supervised GNNs
    Zekarias T. Kefato, Sarunas Girdzijauskas, Hannes Stärk
    http://arxiv.org/abs/2108.10420v1

    • [cs.LG]L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients
    Fayyaz Minhas, Michael S. Toss, Noor ul Wahab, Emad Rakha, Nasir M. Rajpoot
    http://arxiv.org/abs/2108.10365v1

    • [cs.LG]Maximum Likelihood Estimation for Multimodal Learning with Missing Modality
    Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
    http://arxiv.org/abs/2108.10513v1

    • [cs.LG]On the Effectiveness of Genetic Operations in Symbolic Regression
    Bogdan Burlacu, Michael Affenzeller, Michael Kommenda
    http://arxiv.org/abs/2108.10661v1

    • [cs.LG]Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding
    Rickard Sjögren, Johan Trygg
    http://arxiv.org/abs/2108.10673v1

    • [cs.LG]Pooling Architecture Search for Graph Classification
    Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
    http://arxiv.org/abs/2108.10587v1

    • [cs.LG]Power Grid Cascading Failure Mitigation by Reinforcement Learning
    Yongli Zhu
    http://arxiv.org/abs/2108.10424v1

    • [cs.LG]Predicting Vehicles’ Longitudinal Trajectories and Lane Changes on Highway On-Ramps
    Nachuan Li, Riley Fischer, Wissam Kontar, Soyoung Ahn
    http://arxiv.org/abs/2108.10397v1

    • [cs.LG]ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability
    Dawid Rymarczyk, Aneta Kaczyńs
    c67
    ka, Jarosław Kraus, Adam Pardyl, Bartosz Zieliński
    http://arxiv.org/abs/2108.10612v1

    • [cs.LG]REFINE: Random RangE FInder for Network Embedding
    Hao Zhu, Piotr Koniusz
    http://arxiv.org/abs/2108.10703v1

    • [cs.LG]Regret Analysis of Global Optimization in Univariate Functions with Lipschitz Derivatives
    Kaan Gokcesu, Hakan Gokcesu
    http://arxiv.org/abs/2108.10859v1

    • [cs.LG]Robust Risk-Aware Reinforcement Learning
    Sebastian Jaimungal, Silvana Pesenti, Ye Sheng Wang, Hariom Tatsat
    http://arxiv.org/abs/2108.10403v1

    • [cs.LG]SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
    Sayan Nag, Mayukh Bhattacharyya
    http://arxiv.org/abs/2108.09598v2

    • [cs.LG]SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm
    Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
    http://arxiv.org/abs/2108.10411v1

    • [cs.LG]The staircase property: How hierarchical structure can guide deep learning
    Emmanuel Abbe, Enric Boix-Adsera, Matthew Brennan, Guy Bresler, Dheeraj Nagaraj
    http://arxiv.org/abs/2108.10573v1

    • [cs.LG]Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach
    Ljubisa Stankovic, Danilo Mandic
    http://arxiv.org/abs/2108.10751v1

    • [cs.LG]Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
    Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin
    http://arxiv.org/abs/2108.10395v1

    • [cs.LG]sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
    Gabriel Bénédict, Vincent Koops, Daan Odijk, Maarten de Rijke
    http://arxiv.org/abs/2108.10566v1

    • [cs.NI]Outdoor Position Recovery from HeterogeneousTelco Cellular Data
    Yige Zhang, Weixiong Rao, Kun Zhang, Lei Chen
    http://arxiv.org/abs/2108.10613v1

    • [cs.RO]A generalized stacked reinforcement learning method for sampled systems
    Pavel Osinenko, Dmitrii Dobriborsci
    http://arxiv.org/abs/2108.10392v1

    • [cs.RO]Design and integration of end-effector for 3D printing of novel UV-curable shape memory polymers with a collaborative robotic system
    Luis Velazquez, Genevieve Palardy, Corina Barbalata
    http://arxiv.org/abs/2108.10810v1

    • [cs.RO]HapticBots: Distributed Encountered-type Haptics for VR with Multiple Shape-changing Mobile Robots
    Ryo Suzuki, Eyal Ofek, Mike Sinclair, Daneil Leithinger, Mar Gonzalez-Franco
    http://arxiv.org/abs/2108.10829v1

    • [cs.RO]Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
    Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, Gavriel State
    http://arxiv.org/abs/2108.10470v1

    • [cs.RO]Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
    Hugues Thomas, Matthieu Gallet de Saint Aurin, Jian Zhang, Timothy D. Barfoot
    http://arxiv.org/abs/2108.10585v1

    • [cs.RO]Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies
    Yoojin Oh, Marc Toussaint, Jim Mainprice
    http://arxiv.org/abs/2108.10634v1

    • [cs.RO]Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot
    Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Matarić
    http://arxiv.org/abs/2108.10456v1

    • [cs.RO]Next-generation perception system for automated defects detection in composite laminates via polarized computational imaging
    Yuqi Ding, Jinwei Ye, Corina Barbalata, James Oubre, Chandler Lemoine, Jacob Agostinho, Genevieve Palardy
    http://arxiv.org/abs/2108.10819v1

    • [cs.SD]Differential Music: Automated Music Generation Using LSTM Networks with Representation Based on Melodic and Harmonic Intervals
    Hooman Rafraf
    http://arxiv.org/abs/2108.10449v1

    • [cs.SD]One TTS Alignment To Rule Them All
    Rohan Badlani, Adrian Łancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
    http://arxiv.org/abs/2108.10447v1

    • [cs.SI]Gender-based occupational segregation: a bit string approach
    Joana Passinhas, Tanya Araújo
    http://arxiv.org/abs/2108.10343v1

    • [eess.AS]End-to-End Open Vocabulary Keyword Search
    Bolaji Yusuf, Alican Gok, Batuhan Gundogdu, Murat Saraclar
    http://arxiv.org/abs/2108.10357v1

    • [eess.AS]Learning Sparse Analytic Filters for Piano Transcription
    Frank Cwitkowitz, Mojtaba Heydari, Zhiyao Duan
    http://arxiv.org/abs/2108.10382v1

    • [eess.IV]A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
    Kianoush Falahkheirkhah, Tao Guo, Michael Hwang, Pheroze Tamboli, Christopher G Wood, Jose A Karam, Kanishka Sircar, Rohit Bhargava
    http://arxiv.org/abs/2108.10550v1

    • [eess.IV]All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
    Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
    http://arxiv.org/abs/2108.10446v1

    • [eess.IV]DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
    Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan
    http://arxiv.org/abs/2108.10772v1

    • [eess.IV]Image-free single-pixel segmentation
    Haiyan Liu, Liheng Bian, Jun Zhang
    http://arxiv.org/abs/2108.10617v1

    • [eess.IV]Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
    Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Nannan Zou, Emre Aksu, Miska M. Hannuksela
    http://arxiv.org/abs/2108.10551v1

    • [eess.IV]Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model
    Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh
    http://arxiv.org/abs/2108.10579v1

    • [eess.SP]Communication Modes with Large Intelligent Surfaces in the Near Field
    Nicolò Decarli, Davide Dardari
    http://arxiv.org/abs/2108.10569v1

    • [eess.SP]MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints
    Jeremy Johnston, Luca Venturino, Emanuele Grossi, Marco Lops, Xiaodong Wang
    http://arxiv.org/abs/2108.10555v1

    • [eess.SY]Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration
    Hassaan Hashmi, Dionysios S. Kalogerias
    http://arxiv.org/abs/2108.10352v1

    • [math.ST]On the use of Markovian stick-breaking priors
    William Lippitt, Sunder Sethuraman
    http://arxiv.org/abs/2108.10849v1

    • [math.ST]Phase Transitions for High-Dimensional Quadratic Discriminant Analysis with Rare and Weak Signals
    Wanjie Wang, Jingjing Wu, Zhigang Yao
    http://arxiv.org/abs/2108.10802v1

    • [math.ST]State estimation for aoristic models
    M. N. M. van Lieshout, R. L. Markwitz
    http://arxiv.org/abs/2108.10584v1

    • [quant-ph]Adaptive shot allocation for fast convergence in variational quantum algorithms
    Andi Gu, Angus Lowe, Pavel A. Dub, Patrick J. Coles, Andrew Arrasmith
    http://arxiv.org/abs/2108.10434v1

    • [quant-ph]Quantum adaptive agents with efficient long-term memories
    Thomas J. Elliott, Mile Gu, Andrew J. P. Garner, Jayne Thompson
    http://arxiv.org/abs/2108.10876v1

    • [stat.ME]A 2-stage elastic net algorithm for estimation of sparse networks with heavy tailed data
    Davide Bernardini, Sandra Paterlini, Emanuele Taufer
    http://arxiv.org/abs/2108.10583v1

    • [stat.ME]A Generalized Knockoff Procedure for FDR Control in Structural Change Detection
    Jingyuan Liu, Ao Sun, Yuan Ke
    http://arxiv.org/abs/2108.10595v1

    • [stat.ME]Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints
    Rahul Ghosal, Sujit K. Ghosh
    http://arxiv.org/abs/2108.10472v1

    • [stat.ME]Quantification of intrinsic quality of a principal dimension in correspondence analysis and taxicab correspondence analysis
    Vartan Choulakian
    http://arxiv.org/abs/2108.10685v1

    • [stat.ME]Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
    Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali
    http://arxiv.org/abs/2108.10517v1

    • [stat.ML]GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations
    Yash Kumar, Souvik Chakraborty
    http://arxiv.org/abs/2108.10639v1

    • [stat.ML]Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
    Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh
    http://arxiv.org/abs/2108.10828v1

    • [stat.ML]S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data
    Shan Zhong, David B. Hitchcock
    http://arxiv.org/abs/2108.10826v1

    • [stat.ML]Stochastic Treatment Recommendation with Deep Survival Dose Response Function (DeepSDRF)
    Jie Zhu, Blanca Gallego
    http://arxiv.org/abs/2108.10453v1