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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.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.SY - 系统和控制
math.AC - 交换代数
math.OC - 优化与控制
math.ST - 统计理论
physics.data-an - 数据分析、 统计和概率
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems
• [cs.AI]An ontology for the formalization and visualization of scientific knowledge
• [cs.AI]Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
• [cs.AI]Parallel and Multi-Objective Falsification with Scenic and VerifAI
• [cs.AI]Rail Topology Ontology: A Rail Infrastructure Base Ontology
• [cs.AI]Safe Learning of Lifted Action Models
• [cs.AR]WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs
• [cs.CL]A Robust Deep Ensemble Classifier for Figurative Language Detection
• [cs.CL]A Survey on Low-Resource Neural Machine Translation
• [cs.CL]A Systematic Survey of Text Worlds as Embodied Natural Language Environments
• [cs.CL]Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT
• [cs.CL]Improved Language Identification Through Cross-Lingual Self-Supervised Learning
• [cs.CL]Joint Models for Answer Verification in Question Answering Systems
• [cs.CL]Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
• [cs.CL]Levi Graph AMR Parser using Heterogeneous Attention
• [cs.CL]UniRE: A Unified Label Space for Entity Relation Extraction
• [cs.CL]Using Machine Translation to Localize Task Oriented NLG Output
• [cs.CR]SherLOCKED: A Detective-themed Serious Game for Cyber Security Education
• [cs.CV]A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition
• [cs.CV]A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis
• [cs.CV]Action Unit Detection with Joint Adaptive Attention and Graph Relation
• [cs.CV]Activated Gradients for Deep Neural Networks
• [cs.CV]Beyond Farthest Point Sampling in Point-Wise Analysis
• [cs.CV]Cross-modal Attention for MRI and Ultrasound Volume Registration
• [cs.CV]Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
• [cs.CV]Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment
• [cs.CV]Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique
• [cs.CV]Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization
• [cs.CV]Fast Pixel-Matching for Video Object Segmentation
• [cs.CV]Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
• [cs.CV]Graph-based Deep Generative Modelling for Document Layout Generation
• [cs.CV]Hoechst Is All You Need: LymphocyteClassification with Deep Learning
• [cs.CV]Interpretable Compositional Convolutional Neural Networks
• [cs.CV]JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
• [cs.CV]Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
• [cs.CV]Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation
• [cs.CV]Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
• [cs.CV]Multi-Modal Association based Grouping for Form Structure Extraction
• [cs.CV]Multimodal Icon Annotation For Mobile Applications
• [cs.CV]Multitask Multi-database Emotion Recognition
• [cs.CV]MutualEyeContact: A conversation analysis tool with focus on eye contact
• [cs.CV]Mutually-aware Sub-Graphs Differentiable Architecture Search
• [cs.CV]On the Challenges of Open World Recognitionunder Shifting Visual Domains
• [cs.CV]Prior-Guided Multi-View 3D Head Reconstruction
• [cs.CV]RGB Stream Is Enough for Temporal Action Detection
• [cs.CV]Score refinement for confidence-based 3D multi-object tracking
• [cs.CV]Semantic Segmentation on Multiple Visual Domains
• [cs.CV]Semantic and Geometric Unfolding of StyleGAN Latent Space
• [cs.CV]Seven Basic Expression Recognition Using ResNet-18
• [cs.CV]StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation
• [cs.CV]Towards Robust General Medical Image Segmentation
• [cs.CV]Unity Perception: Generate Synthetic Data for Computer Vision
• [cs.CV]UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator
• [cs.CV]ViTGAN: Training GANs with Vision Transformers
• [cs.CV]Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
• [cs.CV]White-Box Cartoonization Using An Extended GAN Framework
• [cs.DB]Can Deep Neural Networks Predict Data Correlations from Column Names?
• [cs.DB]Redescription Model Mining
• [cs.DC]Experiences with Integrating Custos SecurityServices
• [cs.DC]FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
• [cs.DL]Being Together in Place as a Catalyst for Scientific Advance
• [cs.DL]Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data
• [cs.HC]Crowd Sensing and Living Lab Outdoor Experimentation Made Easy
• [cs.IR]CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
• [cs.IR]Graph Neural Pre-training for Enhancing Recommendations using Side Information
• [cs.IT]Information cohomology of classical vector-valued observables
• [cs.IT]Massive MIMO Communication with Intelligent Reflecting Surface
• [cs.IT]Neural-Network-Optimized Degree-Specific Weights for LDPC MinSum Decoding
• [cs.IT]On pure MDS asymmetric entanglement-assisted quantum error-correcting codes
• [cs.IT]Optimal three-weight cyclic codes whose duals are also optimal
• [cs.IT]Sketching and Sequence Alignment: A Rate-Distortion Perspective
• [cs.LG]ANCER: Anisotropic Certification via Sample-wise Volume Maximization
• [cs.LG]ARC: Adversarially Robust Control Policies for Autonomous Vehicles
• [cs.LG]Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
• [cs.LG]Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data
• [cs.LG]Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
• [cs.LG]Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
• [cs.LG]Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
• [cs.LG]Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation
• [cs.LG]Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty
• [cs.LG]Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
• [cs.LG]Exploring Dropout Discriminator for Domain Adaptation
• [cs.LG]Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
• [cs.LG]Form2Seq : A Framework for Higher-Order Form Structure Extraction
• [cs.LG]Group-Node Attention for Community Evolution Prediction
• [cs.LG]How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice
• [cs.LG]IDRLnet: A Physics-Informed Neural Network Library
• [cs.LG]Learning to Delegate for Large-scale Vehicle Routing
• [cs.LG]Learning to Detect Adversarial Examples Based on Class Scores
• [cs.LG]Likelihood ratio-based policy gradient methods for distorted risk measures: A non-asymptotic analysis
• [cs.LG]Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation
• [cs.LG]MCMC Variational Inference via Uncorrected Hamiltonian Annealing
• [cs.LG]Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
• [cs.LG]Model compression as constrained optimization, with application to neural nets. Part V: combining compressions
• [cs.LG]Multi-headed Neural Ensemble Search
• [cs.LG]Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion
• [cs.LG]Multiaccurate Proxies for Downstream Fairness
• [cs.LG]Offline reinforcement learning with uncertainty for treatment strategies in sepsis
• [cs.LG]On the Variance of the Fisher Information for Deep Learning
• [cs.LG]Online Adaptation to Label Distribution Shift
• [cs.LG]Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
• [cs.LG]Personalized Federated Learning over non-IID Data for Indoor Localization
• [cs.LG]REX: Revisiting Budgeted Training with an Improved Schedule
• [cs.LG]Robust Counterfactual Explanations on Graph Neural Networks
• [cs.LG]Safe Exploration by Solving Early Terminated MDP
• [cs.LG]Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation
• [cs.LG]Specialists Outperform Generalists in Ensemble Classification
• [cs.LG]Structured Model Pruning of Convolutional Networks on Tensor Processing Units
• [cs.LG]Understanding surrogate explanations: the interplay between complexity, fidelity and coverage
• [cs.LG]Understanding the Distributions of Aggregation Layers in Deep Neural Networks
• [cs.LG]Universal Multilayer Network Exploration by Random Walk with Restart
• [cs.MA]Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A Distributed Deep Reinforcement Learning Approach
• [cs.MM]Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing
• [cs.NE]Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics
• [cs.NI]A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
• [cs.RO]Aligning an optical interferometer with beam divergence control and continuous action space
• [cs.RO]BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym
• [cs.RO]Behavior Self-Organization Supports Task Inference for Continual Robot Learning
• [cs.RO]Control Lyapunov Functions for Compliant Hybrid Zero Dynamic Walking
• [cs.RO]Distributed formation control for manipulator end-effectors
• [cs.RO]Dynamic Modeling of Bucket-Soil Interactions Using Koopman-DFL Lifting Linearization for Model Predictive Contouring Control of Autonomous Excavators
• [cs.RO]Excavation Learning for Rigid Objects in Clutter
• [cs.RO]Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios
• [cs.RO]Learning structured approximations of operations research problems
• [cs.RO]Planning of efficient trajectories in robotized assembly of aerostructures exploiting kinematic redundancy
• [cs.RO]Probabilistic Trajectory Prediction with Structural Constraints
• [cs.RO]Semantic Feature Matching for Robust Mapping in Agriculture
• [cs.SD]EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
• [cs.SD]Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation
• [cs.SD]Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection
• [cs.SI]Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model
• [cs.SI]Using Network Analysis on Twitter Data to Identify Threats on Indonesian Digital Activism
• [eess.AS]Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings
• [eess.IV]3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
• [eess.IV]A Deep Discontinuity-Preserving Image Registration Network
• [eess.IV]CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation
• [eess.IV]Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images
• [eess.IV]Deep Learning models for benign and malign Ocular Tumor Growth Estimation
• [eess.IV]Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference
• [eess.IV]LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
• [eess.IV]Modality specific U-Net variants for biomedical image segmentation: A survey
• [eess.IV]Retinal OCT Denoising with Pseudo-Multimodal Fusion Network
• [eess.SY]Bayesian Error-in-Variables Models for the Identification of Power Networks
• [math.AC]Staged tree models with toric structure
• [math.OC]Block Alternating Bregman Majorization Minimization with Extrapolation
• [math.OC]Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
• [math.OC]Structured Hammerstein-Wiener Model Learning for Model Predictive Control
• [math.ST]Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices
• [math.ST]Higher Order Imprecise Probabilities and Statistical Testing
• [math.ST]Statistical Estimation and Nonlinear Filtering in Environmental Pollution
• [math.ST]Two Sample Test for Extrinsic Antimeans on Planar Kendall Shape Spaces with an Application to Medical Imaging
• [physics.data-an]Entropy, Information, and the Updating of Probabilities
• [physics.flu-dyn]Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations
• [physics.soc-ph]Quantifying the rise and fall of scientific fields
• [stat.AP]Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
• [stat.AP]From Many to One: Consensus Inference in a MIP
• [stat.AP]Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data
• [stat.CO]Fast compression of MCMC output
• [stat.ME]Hypothetical estimands in clinical trials: a unification of causal inference and missing data methods
• [stat.ME]Joint Modeling of Longitudinal and Survival Data with Censored Single-index Varying Coefficient Models
• [stat.ME]Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data
• [stat.ML]Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
• [stat.ML]Generalization of the Change of Variables Formula with Applications to Residual Flows
• [stat.ML]The Bayesian Learning Rule
·····································
• [cs.AI]A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems
Timo Bertram, Johannes Fürnkranz, Martin Müller
http://arxiv.org/abs/2107.04438v1
• [cs.AI]An ontology for the formalization and visualization of scientific knowledge
Vincenzo Daponte, Gilles Falquet
http://arxiv.org/abs/2107.04347v1
• [cs.AI]Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati
http://arxiv.org/abs/2107.04303v1
• [cs.AI]Parallel and Multi-Objective Falsification with Scenic and VerifAI
Kesav Viswanadha, Edward Kim, Francis Indaheng, Daniel J. Fremont, Sanjit A. Seshia
http://arxiv.org/abs/2107.04164v1
• [cs.AI]Rail Topology Ontology: A Rail Infrastructure Base Ontology
Stefan Bischof, Gottfried Schenner
http://arxiv.org/abs/2107.04378v1
• [cs.AI]Safe Learning of Lifted Action Models
Brendan Juba, Hai S. Le, Roni Stern
http://arxiv.org/abs/2107.04169v1
• [cs.AR]WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs
Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen
http://arxiv.org/abs/2107.04244v1
• [cs.CL]A Robust Deep Ensemble Classifier for Figurative Language Detection
Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis
http://arxiv.org/abs/2107.04372v1
• [cs.CL]A Survey on Low-Resource Neural Machine Translation
Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu
http://arxiv.org/abs/2107.04239v1
• [cs.CL]A Systematic Survey of Text Worlds as Embodied Natural Language Environments
Peter A Jansen
http://arxiv.org/abs/2107.04132v1
• [cs.CL]Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
http://arxiv.org/abs/2107.04374v1
• [cs.CL]Improved Language Identification Through Cross-Lingual Self-Supervised Learning
Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli
http://arxiv.org/abs/2107.04082v1
• [cs.CL]Joint Models for Answer Verification in Question Answering Systems
Zeyu Zhang, Thuy Vu, Alessandro Moschitti
http://arxiv.org/abs/2107.04217v1
• [cs.CL]Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu
http://arxiv.org/abs/2107.04268v1
• [cs.CL]Levi Graph AMR Parser using Heterogeneous Attention
Han He, Jinho D. Choi
http://arxiv.org/abs/2107.04152v1
• [cs.CL]UniRE: A Unified Label Space for Entity Relation Extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
http://arxiv.org/abs/2107.04292v1
• [cs.CL]Using Machine Translation to Localize Task Oriented NLG Output
Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano
http://arxiv.org/abs/2107.04512v1
• [cs.CR]SherLOCKED: A Detective-themed Serious Game for Cyber Security Education
Alice Jaffray, Conor Finn, Jason R. C. Nurse
http://arxiv.org/abs/2107.04506v1
• [cs.CV]A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition
Yue Jin, Tianqing Zheng, Chao Gao, Guoqiang Xu
http://arxiv.org/abs/2107.04187v1
• [cs.CV]A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis
Lingfeng Wang, Shisen Wang
http://arxiv.org/abs/2107.04225v1
• [cs.CV]Action Unit Detection with Joint Adaptive Attention and Graph Relation
Chenggong Zhang, Juan Song, Qingyang Zhang, Weilong Dong, Ruomeng Ding, Zhilei Liu
http://arxiv.org/abs/2107.04389v1
• [cs.CV]Activated Gradients for Deep Neural Networks
Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang
http://arxiv.org/abs/2107.04228v1
• [cs.CV]Beyond Farthest Point Sampling in Point-Wise Analysis
Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui
http://arxiv.org/abs/2107.04291v1
• [cs.CV]Cross-modal Attention for MRI and Ultrasound Volume Registration
Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan
http://arxiv.org/abs/2107.04548v1
• [cs.CV]Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang
http://arxiv.org/abs/2107.04240v1
• [cs.CV]Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment
Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad, Rana Hammad Raza
http://arxiv.org/abs/2107.04133v1
• [cs.CV]Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique
Phan Tran Dac Thinh, Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee
http://arxiv.org/abs/2107.04192v1
• [cs.CV]Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization
Jason Chui, Simon Klenk, Daniel Cremers
http://arxiv.org/abs/2107.04536v1
• [cs.CV]Fast Pixel-Matching for Video Object Segmentation
Siyue Yu, Jimin Xiao, BingFeng Zhang, Eng Gee Lim
http://arxiv.org/abs/2107.04279v1
• [cs.CV]Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
http://arxiv.org/abs/2107.04517v1
• [cs.CV]Graph-based Deep Generative Modelling for Document Layout Generation
Sanket Biswas, Pau Riba, Josep Lladós, Umapada Pal
http://arxiv.org/abs/2107.04357v1
• [cs.CV]Hoechst Is All You Need: LymphocyteClassification with Deep Learning
Jessica Cooper, In Hwa Um, Ognjen Arandjelović, David J Harrison
http://arxiv.org/abs/2107.04388v1
• [cs.CV]Interpretable Compositional Convolutional Neural Networks
Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang
http://arxiv.org/abs/2107.04474v1
• [cs.CV]JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting
Xiaoguang Li, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Yang Liu, Song wang
http://arxiv.org/abs/2107.04281v1
• [cs.CV]Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Shaowu Chen, Jihao Zhou, Weize Sun, Lei Huang
http://arxiv.org/abs/2107.04386v1
• [cs.CV]Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger
http://arxiv.org/abs/2107.04523v1
• [cs.CV]Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki M. Asano
http://arxiv.org/abs/2107.04313v1
• [cs.CV]Multi-Modal Association based Grouping for Form Structure Extraction
Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy
http://arxiv.org/abs/2107.04396v1
• [cs.CV]Multimodal Icon Annotation For Mobile Applications
Xiaoxue Zang, Ying Xu, Jindong Chen
http://arxiv.org/abs/2107.04452v1
• [cs.CV]Multitask Multi-database Emotion Recognition
Manh Tu Vu, Marie Beurton-Aimar
http://arxiv.org/abs/2107.04127v1
• [cs.CV]MutualEyeContact: A conversation analysis tool with focus on eye contact
Alexander Schäfer, Tomoko Isomura, Gerd Reis, Katsumi Watanabe, Didier Stricker
http://arxiv.org/abs/2107.04476v1
• [cs.CV]Mutually-aware Sub-Graphs Differentiable Architecture Search
Haoxian Tan, Sheng Guo, Yujie Zhong, Weilin Huang
http://arxiv.org/abs/2107.04324v1
• [cs.CV]On the Challenges of Open World Recognitionunder Shifting Visual Domains
Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo
http://arxiv.org/abs/2107.04461v1
• [cs.CV]Prior-Guided Multi-View 3D Head Reconstruction
Xueying Wang, Yudong Guo, Zhongqi Yang, Juyong Zhang
http://arxiv.org/abs/2107.04277v1
• [cs.CV]RGB Stream Is Enough for Temporal Action Detection
Chenhao Wang, Hongxiang Cai, Yuxin Zou, Yichao Xiong
http://arxiv.org/abs/2107.04362v1
• [cs.CV]Score refinement for confidence-based 3D multi-object tracking
Nuri Benbarka, Jona Schröder, Andreas Zell
http://arxiv.org/abs/2107.04327v1
• [cs.CV]Semantic Segmentation on Multiple Visual Domains
Floris Naber
http://arxiv.org/abs/2107.04326v1
• [cs.CV]Semantic and Geometric Unfolding of StyleGAN Latent Space
Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier
http://arxiv.org/abs/2107.04481v1
• [cs.CV]Seven Basic Expression Recognition Using ResNet-18
Satnam Singh, Doris Schicker
http://arxiv.org/abs/2107.04569v1
• [cs.CV]StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation
Wonjong Jang, Gwangjin Ju, Yucheol Jung, Jiaolong Yang, Xin Tong, Seungyong Lee
http://arxiv.org/abs/2107.04331v1
• [cs.CV]Towards Robust General Medical Image Segmentation
Laura Daza, Juan C. Pérez, Pablo Arbeláez
http://arxiv.org/abs/2107.04263v1
• [cs.CV]Unity Perception: Generate Synthetic Data for Computer Vision
Steve Borkman, Adam Crespi, Saurav Dhakad, Sujoy Ganguly, Jonathan Hogins, You-Cyuan Jhang, Mohsen Kamalzadeh, Bowen Li, Steven Leal, Pete Parisi, Cesar Romero, Wesley Smith, Alex Thaman, Samuel Warren, Nupur Yadav
http://arxiv.org/abs/2107.04259v1
• [cs.CV]UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator
Yilin Liu, Fuyou Xue, Hui Huang
http://arxiv.org/abs/2107.04286v1
• [cs.CV]ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu
http://arxiv.org/abs/2107.04589v1
• [cs.CV]Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
http://arxiv.org/abs/2107.04261v1
• [cs.CV]White-Box Cartoonization Using An Extended GAN Framework
Amey Thakur, Hasan Rizvi, Mega Satish
http://arxiv.org/abs/2107.04551v1
• [cs.DB]Can Deep Neural Networks Predict Data Correlations from Column Names?
Immanuel Trummer
http://arxiv.org/abs/2107.04553v1
• [cs.DB]Redescription Model Mining
Felix I. Stamm, Martin Becker, Markus Strohmaier, Florian Lemmerich
http://arxiv.org/abs/2107.04462v1
• [cs.DC]Experiences with Integrating Custos SecurityServices
Isuru Ranawaka, Samitha Liyanage, Dannon Baker, Alexandru Mahmoud, Juleen Graham, Terry Fleury, Dimuthu Wannipurage, Yu Ma, Enis Afgan, Jim Basney, Suresh Marru, Marlon Pierce
http://arxiv.org/abs/2107.04172v1
• [cs.DC]FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor Spence, Blesson Varghese
http://arxiv.org/abs/2107.04271v1
• [cs.DL]Being Together in Place as a Catalyst for Scientific Advance
Eamon Duede, Misha Teplistkiy, Karim Lakhani, James Evans
http://arxiv.org/abs/2107.04165v1
• [cs.DL]Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data
Zeyd Boukhers, Nagaraj Bahubali, Abinaya Thulsi Chandrasekaran, Adarsh Anand, Soniya Manchenahalli Gnanendra Prasadand, Sriram Aralappa
http://arxiv.org/abs/2107.04382v1
• [cs.HC]Crowd Sensing and Living Lab Outdoor Experimentation Made Easy
Evangelos Pournaras, Atif Nabi Ghulam, Renato Kunz, Regula Hänggli
http://arxiv.org/abs/2107.04117v1
• [cs.IR]CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang
http://arxiv.org/abs/2107.02390v2
• [cs.IR]Graph Neural Pre-training for Enhancing Recommendations using Side Information
Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
http://arxiv.org/abs/2107.03936v2
• [cs.IT]Information cohomology of classical vector-valued observables
Juan Pablo Vigneaux
http://arxiv.org/abs/2107.04377v1
• [cs.IT]Massive MIMO Communication with Intelligent Reflecting Surface
Zhaorui Wang, Liang Liu, Shuowen Zhang, Shuguang Cui
http://arxiv.org/abs/2107.04255v1
• [cs.IT]Neural-Network-Optimized Degree-Specific Weights for LDPC MinSum Decoding
Linfang Wang, Sean Chen, Jonathan Nguyen, Divsalar Dariush, Richard Wesel
http://arxiv.org/abs/2107.04221v1
• [cs.IT]On pure MDS asymmetric entanglement-assisted quantum error-correcting codes
Ziteng Huang, Weijun Fang, Fang-Wei Fu
http://arxiv.org/abs/2107.04166v1
• [cs.IT]Optimal three-weight cyclic codes whose duals are also optimal
Gerardo Vega, Félix Hernández
http://arxiv.org/abs/2107.04579v1
• [cs.IT]Sketching and Sequence Alignment: A Rate-Distortion Perspective
Ilan Shomorony, Govinda M. Kamath
http://arxiv.org/abs/2107.04202v1
• [cs.LG]ANCER: Anisotropic Certification via Sample-wise Volume Maximization
Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
http://arxiv.org/abs/2107.04570v1
• [cs.LG]ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Sampo Kuutti, Saber Fallah, Richard Bowden
http://arxiv.org/abs/2107.04487v1
• [cs.LG]Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan
http://arxiv.org/abs/2107.04470v1
• [cs.LG]Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data
Sampo Kuutti, Saber Fallah, Richard Bowden
http://arxiv.org/abs/2107.04485v1
• [cs.LG]Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
Jingwei Zhang, Bin Zi, Xiaoyu Ge
http://arxiv.org/abs/2107.04333v1
• [cs.LG]Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling
Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
http://arxiv.org/abs/2107.04312v1
• [cs.LG]Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
Vincent Mai, Waleed Khamies, Liam Paull
http://arxiv.org/abs/2107.04497v1
• [cs.LG]Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation
Arnulf Jentzen, Adrian Riekert
http://arxiv.org/abs/2107.04479v1
• [cs.LG]Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis
http://arxiv.org/abs/2107.04296v1
• [cs.LG]Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong
http://arxiv.org/abs/2107.04144v1
• [cs.LG]Exploring Dropout Discriminator for Domain Adaptation
Vinod K Kurmi, Venkatesh K Subramanian, Vinay P. Namboodiri
http://arxiv.org/abs/2107.04231v1
• [cs.LG]Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Huang Heng, Peng Dai, Liefeng Bo, Yanqing Chen
http://arxiv.org/abs/2107.04129v1
• [cs.LG]Form2Seq : A Framework for Higher-Order Form Structure Extraction
Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy
http://arxiv.org/abs/2107.04419v1
• [cs.LG]Group-Node Attention for Community Evolution Prediction
Matt Revelle, Carlotta Domeniconi, Ben Gelman
http://arxiv.org/abs/2107.04522v1
• [cs.LG]How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
http://arxiv.org/abs/2107.04427v1
• [cs.LG]IDRLnet: A Physics-Informed Neural Network Library
Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
http://arxiv.org/abs/2107.04320v1
• [cs.LG]Learning to Delegate for Large-scale Vehicle Routing
Sirui Li, Zhongxia Yan, Cathy Wu
http://arxiv.org/abs/2107.04139v1
• [cs.LG]Learning to Detect Adversarial Examples Based on Class Scores
Tobias Uelwer, Felix Michels, Oliver De Candido
http://arxiv.org/abs/2107.04435v1
• [cs.LG]Likelihood ratio-based policy gradient methods for distorted risk measures: A non-asymptotic analysis
Nithia Vijayan, Prashanth L. A
http://arxiv.org/abs/2107.04422v1
• [cs.LG]Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation
Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo
http://arxiv.org/abs/2107.04367v1
• [cs.LG]MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner, Justin Domke
http://arxiv.org/abs/2107.04150v1
• [cs.LG]Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Ian D. Kivlichan, Zi Lin, Jeremiah Liu, Lucy Vasserman
http://arxiv.org/abs/2107.04212v1
• [cs.LG]Model compression as constrained optimization, with application to neural nets. Part V: combining compressions
Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev
http://arxiv.org/abs/2107.04380v1
• [cs.LG]Multi-headed Neural Ensemble Search
Ashwin Raaghav Narayanan, Arber Zela, Tonmoy Saikia, Thomas Brox, Frank Hutter
http://arxiv.org/abs/2107.04369v1
• [cs.LG]Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion
Zeeshan Ahmad, Suha Rabbani, Muhammad Rehman Zafar, Syem Ishaque, Sridhar Krishnan, Naimul Khan
http://arxiv.org/abs/2107.04566v1
• [cs.LG]Multiaccurate Proxies for Downstream Fairness
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
http://arxiv.org/abs/2107.04423v1
• [cs.LG]Offline reinforcement learning with uncertainty for treatment strategies in sepsis
Ran Liu, Joseph L. Greenstein, James C. Fackler, Jules Bergmann, Melania M. Bembea, Raimond L. Winslow
http://arxiv.org/abs/2107.04491v1
• [cs.LG]On the Variance of the Fisher Information for Deep Learning
Alexander Soen, Ke Sun
http://arxiv.org/abs/2107.04205v1
• [cs.LG]Online Adaptation to Label Distribution Shift
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
http://arxiv.org/abs/2107.04520v1
• [cs.LG]Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
http://arxiv.org/abs/2107.04518v1
• [cs.LG]Personalized Federated Learning over non-IID Data for Indoor Localization
Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
http://arxiv.org/abs/2107.04189v1
• [cs.LG]REX: Revisiting Budgeted Training with an Improved Schedule
John Chen, Cameron Wolfe, Anastasios Kyrillidis
http://arxiv.org/abs/2107.04197v1
• [cs.LG]Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
http://arxiv.org/abs/2107.04086v1
• [cs.LG]Safe Exploration by Solving Early Terminated MDP
Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou
http://arxiv.org/abs/2107.04200v1
• [cs.LG]Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus Makowski, Daniel Rueckert, Georgios Kaissis
http://arxiv.org/abs/2107.04265v1
• [cs.LG]Specialists Outperform Generalists in Ensemble Classification
Sascha Meyen, Frieder Göppert, Helen Alber, Ulrike von Luxburg, Volker H. Franz
http://arxiv.org/abs/2107.04381v1
• [cs.LG]Structured Model Pruning of Convolutional Networks on Tensor Processing Units
Kongtao Chen, Ken Franko, Ruoxin Sang
http://arxiv.org/abs/2107.04191v1
• [cs.LG]Understanding surrogate explanations: the interplay between complexity, fidelity and coverage
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raul Santos-Rodriguez, Marcin Detyniecki
http://arxiv.org/abs/2107.04309v1
• [cs.LG]Understanding the Distributions of Aggregation Layers in Deep Neural Networks
Eng-Jon Ong, Sameed Husain, Miroslaw Bober
http://arxiv.org/abs/2107.04458v1
• [cs.LG]Universal Multilayer Network Exploration by Random Walk with Restart
Anthony Baptista, Aitor Gonzalez, Anaïs Baudot
http://arxiv.org/abs/2107.04565v1
• [cs.MA]Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A Distributed Deep Reinforcement Learning Approach
Joao V. C. Evangelista, Zeeshan Sattar, Georges Kaddoum, Bassant Selim, Aydin Sarraf
http://arxiv.org/abs/2107.04145v1
• [cs.MM]Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing
Maksim Siniukov, Anastasia Antsiferova, Dmitriy Kulikov, Dmitriy Vatolin
http://arxiv.org/abs/2107.04510v1
• [cs.NE]Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics
Dennis Bautembach, Iason Oikonomidis, Antonis Argyros
http://arxiv.org/abs/2107.04092v1
• [cs.NI]A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
http://arxiv.org/abs/2107.04464v1
• [cs.RO]Aligning an optical interferometer with beam divergence control and continuous action space
Stepan Makarenko, Dmitry Sorokin, Alexander Ulanov, A. I. Lvovsky
http://arxiv.org/abs/2107.04457v1
• [cs.RO]BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym
Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox
http://arxiv.org/abs/2107.04527v1
• [cs.RO]Behavior Self-Organization Supports Task Inference for Continual Robot Learning
Muhammad Burhan Hafez, Stefan Wermter
http://arxiv.org/abs/2107.04533v1
• [cs.RO]Control Lyapunov Functions for Compliant Hybrid Zero Dynamic Walking
Jenna Reher, Aaron D. Ames
http://arxiv.org/abs/2107.04241v1
• [cs.RO]Distributed formation control for manipulator end-effectors
Haiwen Wu, Bayu Jayawardhana, Hector Garcia de Marina, Dabo Xu
http://arxiv.org/abs/2107.04141v1
• [cs.RO]Dynamic Modeling of Bucket-Soil Interactions Using Koopman-DFL Lifting Linearization for Model Predictive Contouring Control of Autonomous Excavators
Filippos E. Sotiropoulos, H. Harry Asada
http://arxiv.org/abs/2107.04314v1
• [cs.RO]Excavation Learning for Rigid Objects in Clutter
Qingkai Lu, Liangjun Zhang
http://arxiv.org/abs/2107.04171v1
• [cs.RO]Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios
Bruno Brito, Achin Agarwal, Javier Alonso-Mora
http://arxiv.org/abs/2107.04538v1
• [cs.RO]Learning structured approximations of operations research problems
Axel Parmentier
http://arxiv.org/abs/2107.04323v1
• [cs.RO]Planning of efficient trajectories in robotized assembly of aerostructures exploiting kinematic redundancy
Federica Storiale, Enrico Ferrentino, Pasquale Chiacchio
http://arxiv.org/abs/2107.04341v1
• [cs.RO]Probabilistic Trajectory Prediction with Structural Constraints
Weiming Zhi, Lionel Ott, Fabio Ramos
http://arxiv.org/abs/2107.04193v1
• [cs.RO]Semantic Feature Matching for Robust Mapping in Agriculture
Mohamad Qadri, George Kantor
http://arxiv.org/abs/2107.04178v1
• [cs.SD]EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
Jacob Donley, Vladimir Tourbabin, Jung-Suk Lee, Mark Broyles, Hao Jiang, Jie Shen, Maja Pantic, Vamsi Krishna Ithapu, Ravish Mehra
http://arxiv.org/abs/2107.04174v1
• [cs.SD]Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation
Fu-Shun Hsu, Shang-Ran Huang, Chang-Fu Su, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Chun-Yu Wu, Chung-Wei Chen, Yen-Chun Lai, Tang-Wei Cheng, Nian-Jhen Lin, Wan-Ling Tsai, Ching-Shiang Lu, Chuan Chen, Feipei Lai
http://arxiv.org/abs/2107.04229v1
• [cs.SD]Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chun-Chieh Chen, Yuan-Ren Cheng, Feipei Lai
http://arxiv.org/abs/2107.04226v1
• [cs.SI]Causal Inference for Influence Propagation — Identifiability of the Independent Cascade Model
Shi Feng, Wei Chen
http://arxiv.org/abs/2107.04224v1
• [cs.SI]Using Network Analysis on Twitter Data to Identify Threats on Indonesian Digital Activism
Adya Danaditya
http://arxiv.org/abs/2107.04294v1
• [eess.AS]Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings
Sören Schulze, Johannes Leuschner, Emily J. King
http://arxiv.org/abs/2107.04235v1
• [eess.IV]3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image
Haibo Qi, Yuhan Wang, Xinyu Liu
http://arxiv.org/abs/2107.04055v1
• [eess.IV]A Deep Discontinuity-Preserving Image Registration Network
Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F Frangi
http://arxiv.org/abs/2107.04440v1
• [eess.IV]CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation
Andrea Liew, Chun Cheng Lee, Boon Leong Lan, Maxine Tan
http://arxiv.org/abs/2107.04099v1
• [eess.IV]Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images
Nico Zettler, Andre Mastmeyer
http://arxiv.org/abs/2107.04062v1
• [eess.IV]Deep Learning models for benign and malign Ocular Tumor Growth Estimation
Mayank Goswami
http://arxiv.org/abs/2107.04220v1
• [eess.IV]Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference
Wenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang, Xiang Wan, Shuguang Cui
http://arxiv.org/abs/2107.04306v1
• [eess.IV]LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz
http://arxiv.org/abs/2107.04282v1
• [eess.IV]Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn, Sonali Agarwal
http://arxiv.org/abs/2107.04537v1
• [eess.IV]Retinal OCT Denoising with Pseudo-Multimodal Fusion Network
Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz
http://arxiv.org/abs/2107.04288v1
• [eess.SY]Bayesian Error-in-Variables Models for the Identification of Power Networks
Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Florian Dörfler, Giancarlo Ferrari-Trecate
http://arxiv.org/abs/2107.04480v1
• [math.AC]Staged tree models with toric structure
Christiane Görgen, Aida Maraj, Lisa Nicklasson
http://arxiv.org/abs/2107.04516v1
• [math.OC]Block Alternating Bregman Majorization Minimization with Extrapolation
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
http://arxiv.org/abs/2107.04395v1
• [math.OC]Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
René Carmona, Mathieu Laurière
http://arxiv.org/abs/2107.04568v1
• [math.OC]Structured Hammerstein-Wiener Model Learning for Model Predictive Control
Ryuta Moriyasu, Taro Ikeda, Sho Kawaguchi, Kenji Kashima
http://arxiv.org/abs/2107.04247v1
• [math.ST]Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices
Rebecca E Morrison, Ricardo Baptista, Estelle L Basor
http://arxiv.org/abs/2107.04136v1
• [math.ST]Higher Order Imprecise Probabilities and Statistical Testing
Justus Hibshman, Tim Weninger
http://arxiv.org/abs/2107.04542v1
• [math.ST]Statistical Estimation and Nonlinear Filtering in Environmental Pollution
Qizhu Liang, Jie Xiong, Xingqiu Zhao
http://arxiv.org/abs/2107.04592v1
• [math.ST]Two Sample Test for Extrinsic Antimeans on Planar Kendall Shape Spaces with an Application to Medical Imaging
Aaid Algahtani, Vic Patrangenaru
http://arxiv.org/abs/2107.04230v1
• [physics.data-an]Entropy, Information, and the Updating of Probabilities
Ariel Caticha
http://arxiv.org/abs/2107.04529v1
• [physics.flu-dyn]Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations
Pranshu Pant, Ruchit Doshi, Pranav Bahl, Amir Barati Farimani
http://arxiv.org/abs/2107.04556v1
• [physics.soc-ph]Quantifying the rise and fall of scientific fields
Chakresh Singh, Emma Barme, Robert Ward, Liubov Tupikina, Marc Santolini
http://arxiv.org/abs/2107.03749v2
• [stat.AP]Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis
Luka Grbčić, Siniša Družeta, Goran Mauša, Tomislav Lipić, Darija Vukić Lušić, Marta Alvir, Ivana Lučin, Ante Sikirica, Davor Davidović, Vanja Travaš, Daniela Kalafatović, Kristina Pikelj, Hana Fajković, Toni Holjević, Lado Kranjčević
http://arxiv.org/abs/2107.03230v2
• [stat.AP]From Many to One: Consensus Inference in a MIP
Noel Cressie, Michael Bertolacci, Andrew Zammit-Mangion
http://arxiv.org/abs/2107.04208v1
• [stat.AP]Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data
Janne Räty, Johannes Breidenbach, Marius Hauglin, Rasmus Astrup
http://arxiv.org/abs/2107.04316v1
• [stat.CO]Fast compression of MCMC output
Nicolas Chopin, Gabriel Ducrocq
http://arxiv.org/abs/2107.04552v1
• [stat.ME]Hypothetical estimands in clinical trials: a unification of causal inference and missing data methods
Camila Olarte Parra, Rhian M. Daniel, Jonathan W. Bartlett
http://arxiv.org/abs/2107.04392v1
• [stat.ME]Joint Modeling of Longitudinal and Survival Data with Censored Single-index Varying Coefficient Models
Jizi Shangguan
http://arxiv.org/abs/2107.04496v1
• [stat.ME]Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data
Tomarchio Salvatore D., Punzo Antonio, Maruotti Antonello
http://arxiv.org/abs/2107.04330v1
• [stat.ML]Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee, Sebastian Goldt, Andrew Saxe
http://arxiv.org/abs/2107.04384v1
• [stat.ML]Generalization of the Change of Variables Formula with Applications to Residual Flows
Niklas Koenen, Marvin N. Wright, Peter Maaß, Jens Behrmann
http://arxiv.org/abs/2107.04346v1
• [stat.ML]The Bayesian Learning Rule
Mohammad Emtiyaz Khan, Håvard Rue
http://arxiv.org/abs/2107.04562v1