astro-ph.CO - 宇宙学和天体物理学
cond-mat.mtrl-sci - 材料科学 cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.OS - 操作系统 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 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 hep-ph - 高能物理现象学 math.CT - 范畴论 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.app-ph - 应用物理 physics.comp-ph - 计算物理学 physics.med-ph - 医学物理学 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.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation
• [cond-mat.mtrl-sci]Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning
• [cond-mat.stat-mech]Hierarchical Coarse-grained Approach to the Duration-dependent Spreading Dynamics in Complex Networks
• [cs.AI]Analysis of Models for Decentralized and Collaborative AI on Blockchain
• [cs.AI]Monotonicity in practice of adaptive testing
• [cs.AI]The Importance of Pessimism in Fixed-Dataset Policy Optimization
• [cs.CL]A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
• [cs.CL]Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization
• [cs.CL]Attention-Aware Inference for Neural Abstractive Summarization
• [cs.CL]Autoregressive Knowledge Distillation through Imitation Learning
• [cs.CL]Cascaded Semantic and Positional Self-Attention Network for Document Classification
• [cs.CL]Critical Thinking for Language Models
• [cs.CL]Current Limitations of Language Models: What You Need is Retrieval
• [cs.CL]Dialogue Response Ranking Training with Large-Scale Human Feedback Data
• [cs.CL]Event Presence Prediction Helps Trigger Detection Across Languages
• [cs.CL]High-order Refining for End-to-end Chinese Semantic Role Labeling
• [cs.CL]Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features
• [cs.CL]It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
• [cs.CL]Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
• [cs.CL]Lessons Learned from Applying off-the-shelf BERT: There is no SilverBullet
• [cs.CL]MLMLM: Link Prediction with Mean Likelihood Masked Language Model
• [cs.CL]MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
• [cs.CL]Multi-Referenced Training for Dialogue Response Generation
• [cs.CL]Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
• [cs.CL]Noisy Self-Knowledge Distillation for Text Summarization
• [cs.CL]Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
• [cs.CL]Using Known Words to Learn More Words: A Distributional Analysis of Child Vocabulary Development
• [cs.CR]Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
• [cs.CR]Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
• [cs.CV]360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales
• [cs.CV]3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation
• [cs.CV]3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
• [cs.CV]A Mobile App for Wound Localization using Deep Learning
• [cs.CV]A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition
• [cs.CV]AMRNet: Chips Augmentation in Areial Images Object Detection
• [cs.CV]Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze
• [cs.CV]CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
• [cs.CV]Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
• [cs.CV]Data Augmentation and Clustering for Vehicle Make/Model Classification
• [cs.CV]Decision-based Universal Adversarial Attack
• [cs.CV]FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment
• [cs.CV]Gravitational Models Explain Shifts on Human Visual Attention
• [cs.CV]Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach
• [cs.CV]HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction
• [cs.CV]Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
• [cs.CV]Methods of the Vehicle Re-identification
• [cs.CV]Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation
• [cs.CV]Old Photo Restoration via Deep Latent Space Translation
• [cs.CV]Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
• [cs.CV]P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
• [cs.CV]PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation
• [cs.CV]Polyp-artifact relationship analysis using graph inductive learned representations
• [cs.CV]Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
• [cs.CV]RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
• [cs.CV]ResNet-like Architecture with Low Hardware Requirements
• [cs.CV]SML: Semantic Meta-learning for Few-shot Semantic Segmentation
• [cs.CV]Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks
• [cs.CV]TCDesc: Learning Topology Consistent Descriptors for Image Matching
• [cs.CV]Understanding Deformable Alignment in Video Super-Resolution
• [cs.CV]WDRN : A Wavelet Decomposed RelightNet for Image Relighting
• [cs.CY]Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
• [cs.CY]Report prepared by the Montreal AI Ethics Institute (MAIEI) for Publication Norms for Responsible AI by Partnership on AI
• [cs.CY]Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
• [cs.CY]The Adoption of ICT Powered Healthcare Technologies towards Managing Global Pandemics
• [cs.CY]The Radicalization Risks of GPT-3 and Advanced Neural Language Models
• [cs.CY]The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems
• [cs.DB]CorDEL: A Contrastive Deep Learning Approach for Entity Linkage
• [cs.DB]Revealing Secrets in SPARQL Session Level
• [cs.DC]NextDoor: GPU-Based Graph Sampling for GraphMachine Learning
• [cs.DC]Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes
• [cs.DC]Term Rewriting on GPUs
• [cs.DL]Same data may bring conflict results: a caution to use the disruptive index
• [cs.GT]Knapsack Voting for Participatory Budgeting
• [cs.HC]A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
• [cs.HC]CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR
• [cs.HC]Effective Favor Exchange for Human-Agent Negotiation Challenge at IJCAI 2020
• [cs.IR]BERT-QE: Contextualized Query Expansion for Document Re-ranking
• [cs.IR]Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations
• [cs.IR]Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
• [cs.IT]Bilinear Generalized Vector Approximate Message Passing
• [cs.IT]Coverage Probability and Ergodic Capacity of Intelligent Reflecting Surface-Enhanced Communication Systems
• [cs.IT]Decoding Polar Codes with Reinforcement Learning
• [cs.IT]New Instances of Quadratic APN Functions
• [cs.LG]Analyzing the effect of APOE on Alzheimer’s disease progression using an event-based model for stratified populations
• [cs.LG]Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas
• [cs.LG]Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
• [cs.LG]Challenging $β$-VAE with $β< 1$ for Disentanglement Via Dynamic Learning
• [cs.LG]Competing AI: How competition feedback affects machine learning
• [cs.LG]Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
• [cs.LG]Data Poisoning Attacks on Regression Learning and Corresponding Defenses
• [cs.LG]Data Quality Evaluation using Probability Models
• [cs.LG]Deep Reinforcement Learning for Unknown Anomaly Detection
• [cs.LG]Deep Transparent Prediction through Latent Representation Analysis
• [cs.LG]Demand Forecasting of individual Probability Density Functions with Machine Learning
• [cs.LG]Efficient Transformers: A Survey
• [cs.LG]Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data
• [cs.LG]Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems
• [cs.LG]Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
• [cs.LG]Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
• [cs.LG]Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns
• [cs.LG]Interpretable and Interactive Summaries ofActionable Recourses
• [cs.LG]Learning Functors using Gradient Descent
• [cs.LG]Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction
• [cs.LG]MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization
• [cs.LG]New complex network building methodology for High Level Classification based on attribute-attribute interaction
• [cs.LG]On the use of local structural properties for improving the efficiency of hierarchical community detection methods
• [cs.LG]Optimal Decision Trees for Nonlinear Metrics
• [cs.LG]Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
• [cs.LG]Second-order Neural Network Training Using Complex-step Directional Derivative
• [cs.LG]Soft policy optimization using dual-track advantage estimator
• [cs.LG]The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
• [cs.NE]Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain
• [cs.NE]Ensemble learning of diffractive optical networks
• [cs.NE]Short-term synaptic plasticity optimally models continuous environments
• [cs.NE]Simple Simultaneous Ensemble Learning in Genetic Programming
• [cs.NE]Variable Binding for Sparse Distributed Representations: Theory and Applications
• [cs.OS]TardiS: Migrating Containers with RDMA Networks
• [cs.RO]Approximate Piecewise Constant Curvature Equivalent Model and Their Application to Continuum Robot Configuration Estimation
• [cs.RO]Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping
• [cs.RO]Event-Driven Visual-Tactile Sensing and Learning for Robots
• [cs.RO]RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable Measurement Model
• [cs.RO]Socially competent robots: adaptation improves leadership performance in groups of live fish
• [cs.SI]Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
• [cs.SI]Hierarchical community structure in networks
• [cs.SI]Joint Subgraph-to-Subgraph Transitions — Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling
• [cs.SI]Sustained Online Amplification of COVID-19 Elites in the United States
• [cs.SI]The impact of supply-chain networks on interactions between the anti-COVID-19 lockdowns in different regions
• [cs.SI]Understanding Global Reaction to the Recent Outbreaks of COVID-19: Insights from Instagram Data Analysis
• [econ.EM]Inference for high-dimensional exchangeable arrays
• [econ.GN]Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion
• [eess.AS]Controllable neural text-to-speech synthesis using intuitive prosodic features
• [eess.AS]When Automatic Voice Disguise Meets Automatic Speaker Verification
• [eess.IV]AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
• [eess.IV]Attention Cube Network for Image Restoration
• [eess.IV]F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration
• [eess.IV]Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal
• [eess.IV]Microscope Based HER2 Scoring System
• [eess.IV]Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
• [eess.IV]Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning
• [eess.SP]Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks
• [eess.SP]Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs
• [eess.SY]Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics
• [hep-ph]PDFFlow: parton distribution functions on GPU
• [math.CT]Interfacing biology, category theory and mathematical statistics
• [math.NA]Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion
• [math.OC]Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics
• [math.ST]Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs
• [math.ST]Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments
• [math.ST]Minimax optimal estimator in the stochastic inverse problem for exponential Radon transform
• [physics.app-ph]Miniaturized Circuitry for Capacitive Self-sensing and Closed-loop Control of Soft Electrostatic Transducers
• [physics.comp-ph]A machine learning approach for efficient multi-dimensional integration
• [physics.comp-ph]Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation
• [physics.med-ph]An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus
• [q-bio.NC]Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy
• [q-bio.PE]Disease control as an optimization problem
• [q-bio.QM]Machine learning predicts early onset of fever from continuous physiological data of critically ill patients
• [quant-ph]A functorial characterization of von Neumann entropy
• [quant-ph]Fault-tolerant Coding for Quantum Communication
• [quant-ph]Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
• [stat.AP]Stop the Clock: Are Timeout Effects Real?
• [stat.ME]Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias
• [stat.ME]Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
• [stat.ME]Real Time Anomaly Detection And Categorisation
• [stat.ME]Structural time series grammar over variable blocks
• [stat.ME]Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data
• [stat.ML]Convolutional Signature for Sequential Data
• [stat.ML]Improve black-box sequential anomaly detector relevancy with limited user feedback
• [stat.ML]Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
• [stat.ML]On Information Gain and Regret Bounds in Gaussian Process Bandits
• [stat.ML]Private data sharing between decentralized users through the privGAN architecture
• [stat.ML]Universal consistency of Wasserstein $k$-NN classifier
·····································
• [astro-ph.CO]Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation
Bryan Ostdiek, Ana Diaz Rivero, Cora Dvorkin
http://arxiv.org/abs/2009.06639v1
• [cond-mat.mtrl-sci]Predictive Synthesis of Quantum Materials by Probabilistic Reinforcement Learning
Pankaj Rajak, Aravind Krishnamoorthy, Ankit Mishra, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
http://arxiv.org/abs/2009.06739v1
• [cond-mat.stat-mech]Hierarchical Coarse-grained Approach to the Duration-dependent Spreading Dynamics in Complex Networks
Jin-Fu Chen, Yi-Mu Du, Hui Dong, Chang-Pu Sun
http://arxiv.org/abs/2009.06919v1
• [cs.AI]Analysis of Models for Decentralized and Collaborative AI on Blockchain
Justin D. Harris
http://arxiv.org/abs/2009.06756v1
• [cs.AI]Monotonicity in practice of adaptive testing
Martin Plajner, Jiří Vomlel
http://arxiv.org/abs/2009.06981v1
• [cs.AI]The Importance of Pessimism in Fixed-Dataset Policy Optimization
Jacob Buckman, Carles Gelada, Marc G. Bellemare
http://arxiv.org/abs/2009.06799v1
• [cs.CL]A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
Moin Nadeem, Tianxing He, Kyunghyun Cho, James Glass
http://arxiv.org/abs/2009.07243v1
• [cs.CL]Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
http://arxiv.org/abs/2009.06823v1
• [cs.CL]Attention-Aware Inference for Neural Abstractive Summarization
Ye Ma, Lu Zong
http://arxiv.org/abs/2009.06891v1
• [cs.CL]Autoregressive Knowledge Distillation through Imitation Learning
Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei
http://arxiv.org/abs/2009.07253v1
• [cs.CL]Cascaded Semantic and Positional Self-Attention Network for Document Classification
Juyong Jiang, Jie Zhang, Kai Zhang
http://arxiv.org/abs/2009.07148v1
• [cs.CL]Critical Thinking for Language Models
Gregor Betz
http://arxiv.org/abs/2009.07185v1
• [cs.CL]Current Limitations of Language Models: What You Need is Retrieval
Aran Komatsuzaki
http://arxiv.org/abs/2009.06857v1
• [cs.CL]Dialogue Response Ranking Training with Large-Scale Human Feedback Data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan
http://arxiv.org/abs/2009.06978v1
• [cs.CL]Event Presence Prediction Helps Trigger Detection Across Languages
Parul Awasthy, Tahira Naseem, Jian Ni, Taesun Moon, Radu Florian
http://arxiv.org/abs/2009.07188v1
• [cs.CL]High-order Refining for End-to-end Chinese Semantic Role Labeling
Hao Fei, Yafeng Ren, Donghong Ji
http://arxiv.org/abs/2009.06957v1
• [cs.CL]Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features
Miftahul Mahfuzh, Sidik Soleman, Ayu Purwarianti
http://arxiv.org/abs/2009.07119v1
• [cs.CL]It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick, Hinrich Schütze
http://arxiv.org/abs/2009.07118v1
• [cs.CL]Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
Jason Lee, Raphael Shu, Kyunghyun Cho
http://arxiv.org/abs/2009.07177v1
• [cs.CL]Lessons Learned from Applying off-the-shelf BERT: There is no SilverBullet
Victor Makarenkov, Lior Rokach
http://arxiv.org/abs/2009.07238v1
• [cs.CL]MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouatre, Philippe Trempe, Amal Zouaq, Sarath Chandar
http://arxiv.org/abs/2009.07058v1
• [cs.CL]MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
Souradip Guha, Jatin Agrawal, Swetarekha Ram, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal
http://arxiv.org/abs/2009.06819v1
• [cs.CL]Multi-Referenced Training for Dialogue Response Generation
Tianyu Zhao, Tatsuya Kawahara
http://arxiv.org/abs/2009.07117v1
• [cs.CL]Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
Tiangang Zhu, Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou
http://arxiv.org/abs/2009.07162v1
• [cs.CL]Noisy Self-Knowledge Distillation for Text Summarization
Yang Liu, Sheng Shen, Mirella Lapata
http://arxiv.org/abs/2009.07032v1
• [cs.CL]Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed
http://arxiv.org/abs/2009.06851v1
• [cs.CL]Using Known Words to Learn More Words: A Distributional Analysis of Child Vocabulary Development
Andrew Z. Flores, Jessica Montag, Jon Willits
http://arxiv.org/abs/2009.06810v1
• [cs.CR]Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
http://arxiv.org/abs/2009.06701v1
• [cs.CR]Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems
Haoliang Li, Yufei Wang, Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot
http://arxiv.org/abs/2009.06996v1
• [cs.CV]360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales
Ashesh Mishra, Hsuan-Tien Lin
http://arxiv.org/abs/2009.06924v1
• [cs.CV]3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation
Yuanpeng Liu, Jun Zhou, Yuqi Zhang, Chao Ding, Jun Wang
http://arxiv.org/abs/2009.06887v1
• [cs.CV]3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
Sudhakaran Jain, Hamidreza Kasaei
http://arxiv.org/abs/2009.07213v1
• [cs.CV]A Mobile App for Wound Localization using Deep Learning
D. M. Anisuzzaman, Yash Patel, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
http://arxiv.org/abs/2009.07133v1
• [cs.CV]A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition
Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Robert Caiming Qiu
http://arxiv.org/abs/2009.06903v1
• [cs.CV]AMRNet: Chips Augmentation in Areial Images Object Detection
Zhiwei Wei, Chenzhen Duan
http://arxiv.org/abs/2009.07168v1
• [cs.CV]Attention-SLAM: A Visual Monocular SLAM Learning from Human Gaze
Jinquan Li, Ling Pei, Danping Zou, Songpengcheng Xia, Qi Wu, Tao Li, Zhen Sun, Wenxian Yu
http://arxiv.org/abs/2009.06886v1
• [cs.CV]CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
Sorachi Kato, Takeru Fukushima, Tomoki Murakami, Hirantha Abeysekera, Yusuke Iwasaki, Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari
http://arxiv.org/abs/2009.07100v1
• [cs.CV]Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Haisheng Su, Jing Su, Dongliang Wang, Weihao Gan, Wei Wu, Mengmeng Wang, Junjie Yan, Yu Qiao
http://arxiv.org/abs/2009.06902v1
• [cs.CV]Data Augmentation and Clustering for Vehicle Make/Model Classification
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
http://arxiv.org/abs/2009.06679v1
• [cs.CV]Decision-based Universal Adversarial Attack
Jing Wu, Mingyi Zhou, Shuaicheng Liu, Yipeng Liu, Ce Zhu
http://arxiv.org/abs/2009.07024v1
• [cs.CV]FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez
http://arxiv.org/abs/2009.07025v1
• [cs.CV]Gravitational Models Explain Shifts on Human Visual Attention
Dario Zanca, Marco Gori, Stefano Melacci, Alessandra Rufa
http://arxiv.org/abs/2009.06963v1
• [cs.CV]Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach
Anastasia Petrova, Dominique Vaufreydaz, Philippe Dessus
http://arxiv.org/abs/2009.07013v1
• [cs.CV]HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction
Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu
http://arxiv.org/abs/2009.07140v1
• [cs.CV]Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
Prabuddha Chakraborty, Jonathan Cruz, Swarup Bhunia
http://arxiv.org/abs/2009.06742v1
• [cs.CV]Methods of the Vehicle Re-identification
Mohamed Nafzi, Michael Brauckmann, Tobias Glasmachers
http://arxiv.org/abs/2009.06687v1
• [cs.CV]Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation
Soham Chattopadhyay, Hritam Basak
http://arxiv.org/abs/2009.06911v1
• [cs.CV]Old Photo Restoration via Deep Latent Space Translation
Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
http://arxiv.org/abs/2009.07047v1
• [cs.CV]Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
Sagar Vaze, James Foley, Mohamed Seddiq, Alexey Unagaev, Natalia Efremova
http://arxiv.org/abs/2009.07000v1
• [cs.CV]P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
Wei Hu, QiHao Zhao, Yangyu Huang, Fan Zhang
http://arxiv.org/abs/2009.06382v2
• [cs.CV]PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation
Fatema Tuz Zohora, M Ziaur Rahman, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li
http://arxiv.org/abs/2009.07250v1
• [cs.CV]Polyp-artifact relationship analysis using graph inductive learned representations
Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab
http://arxiv.org/abs/2009.07109v1
• [cs.CV]Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
Doruk Oner, Mateusz Koziński, Leonardo Citraro, Nathan C. Dadap, Alexandra G. Konings, Pascal Fua
http://arxiv.org/abs/2009.07011v1
• [cs.CV]RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
http://arxiv.org/abs/2009.06193v2
• [cs.CV]ResNet-like Architecture with Low Hardware Requirements
Elena Limonova, Daniil Alfonso, Dmitry Nikolaev, Vladimir V. Arlazarov
http://arxiv.org/abs/2009.07190v1
• [cs.CV]SML: Semantic Meta-learning for Few-shot Semantic Segmentation
Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas
http://arxiv.org/abs/2009.06680v1
• [cs.CV]Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks
Chen Ma, Shuyu Cheng, Li Chen, Junhai Yong
http://arxiv.org/abs/2009.07191v1
• [cs.CV]TCDesc: Learning Topology Consistent Descriptors for Image Matching
Honghu Pan, Fanyang Meng, Nana Fan, Zhenyu He
http://arxiv.org/abs/2009.07036v1
• [cs.CV]Understanding Deformable Alignment in Video Super-Resolution
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
http://arxiv.org/abs/2009.07265v1
• [cs.CV]WDRN : A Wavelet Decomposed RelightNet for Image Relighting
Densen Puthussery, Hrishikesh P. S., Melvin Kuriakose, Jiji C. V
http://arxiv.org/abs/2009.06678v1
• [cs.CY]Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
D. M. Anisuzzaman, Chuanbo Wang, Behrouz Rostami, Sandeep Gopalakrishnan, Jeffrey Niezgoda, Zeyun Yu
http://arxiv.org/abs/2009.07141v1
• [cs.CY]Report prepared by the Montreal AI Ethics Institute (MAIEI) for Publication Norms for Responsible AI by Partnership on AI
Abhishek Gupta, Camylle Lanteigne, Victoria Heath
http://arxiv.org/abs/2009.07262v1
• [cs.CY]Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk
http://arxiv.org/abs/2009.05653v1
• [cs.CY]The Adoption of ICT Powered Healthcare Technologies towards Managing Global Pandemics
Navod Neranjan Thilakarathne, Mohan Krishna Kagita, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta
http://arxiv.org/abs/2009.05716v1
• [cs.CY]The Radicalization Risks of GPT-3 and Advanced Neural Language Models
Kris McGuffie, Alex Newhouse
http://arxiv.org/abs/2009.06807v1
• [cs.CY]The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems
Lydia P. Gleaves, Reva Schwartz, David A. Broniatowski
http://arxiv.org/abs/2009.06675v1
• [cs.DB]CorDEL: A Contrastive Deep Learning Approach for Entity Linkage
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
http://arxiv.org/abs/2009.07203v1
• [cs.DB]Revealing Secrets in SPARQL Session Level
Xinyue Zhang, Meng Wang, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, Haofen Wang
http://arxiv.org/abs/2009.06625v1
• [cs.DC]NextDoor: GPU-Based Graph Sampling for GraphMachine Learning
Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini
http://arxiv.org/abs/2009.06693v1
• [cs.DC]Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes
Mert Hidayetoglu, Tekin Bicer, Simon Garcia de Gonzalo, Bin Ren, Vincent De Andrade, Doga Gursoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
http://arxiv.org/abs/2009.07226v1
• [cs.DC]Term Rewriting on GPUs
Johri van Eerd, Jan Friso Groote, Pieter Hijma, Jan Martens, Anton Wijs
http://arxiv.org/abs/2009.07174v1
• [cs.DL]Same data may bring conflict results: a caution to use the disruptive index
Guoqiang Liang, Yi Jiang, Haiyan Hou
http://arxiv.org/abs/2009.06888v1
• [cs.GT]Knapsack Voting for Participatory Budgeting
Ashish Goel, Anilesh K. Krishnaswamy, Sukolsak Sakshuwong, Tanja Aitamurto
http://arxiv.org/abs/2009.06856v1
• [cs.HC]A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski
http://arxiv.org/abs/2009.06876v1
• [cs.HC]CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR
Elodie Bouzbib, Gilles Bailly, Sinan Haliyo, Pascal Frey
http://arxiv.org/abs/2009.07149v1
• [cs.HC]Effective Favor Exchange for Human-Agent Negotiation Challenge at IJCAI 2020
Kushal Chawla, Gale Lucas
http://arxiv.org/abs/2009.06781v1
• [cs.IR]BERT-QE: Contextualized Query Expansion for Document Re-ranking
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
http://arxiv.org/abs/2009.07258v1
• [cs.IR]Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations
Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
http://arxiv.org/abs/2009.06824v1
• [cs.IR]Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan, Jingchao Su
http://arxiv.org/abs/2009.06884v1
• [cs.IT]Bilinear Generalized Vector Approximate Message Passing
Mohamed Akrout, Anis Housseini, Faouzi Bellili, Amine Mezghani
http://arxiv.org/abs/2009.06854v1
• [cs.IT]Coverage Probability and Ergodic Capacity of Intelligent Reflecting Surface-Enhanced Communication Systems
Trinh Van Chien, Lam Thanh Tu, Symeon Chatzinotas, Björn Ottersten
http://arxiv.org/abs/2009.06926v1
• [cs.IT]Decoding Polar Codes with Reinforcement Learning
Nghia Doan, Seyyed Ali Hashemi, Warren Gross
http://arxiv.org/abs/2009.06796v1
• [cs.IT]New Instances of Quadratic APN Functions
Christof Beierle, Gregor Leander
http://arxiv.org/abs/2009.07204v1
• [cs.LG]Analyzing the effect of APOE on Alzheimer’s disease progression using an event-based model for stratified populations
Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron
http://arxiv.org/abs/2009.07139v1
• [cs.LG]Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas
Kazuhisa Fujita
http://arxiv.org/abs/2009.07101v1
• [cs.LG]Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
Nicola Milano, Stefano Nolfi
http://arxiv.org/abs/2009.07132v1
• [cs.LG]Challenging $β$-VAE with $β< 1$ for Disentanglement Via Dynamic Learning
Huajie Shao, Haohong Lin, Qinmin Yang, Shuochao Yao, Tarek Abdelzaher
http://arxiv.org/abs/2009.06795v1
• [cs.LG]Competing AI: How competition feedback affects machine learning
Antonio Ginart, Eva Zhang, James Zou
http://arxiv.org/abs/2009.06797v1
• [cs.LG]Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan, Shirui Pan, Jian Yang, Chen Gong
http://arxiv.org/abs/2009.07111v1
• [cs.LG]Data Poisoning Attacks on Regression Learning and Corresponding Defenses
Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger
http://arxiv.org/abs/2009.07008v1
• [cs.LG]Data Quality Evaluation using Probability Models
Allen ONeill
http://arxiv.org/abs/2009.06672v1
• [cs.LG]Deep Reinforcement Learning for Unknown Anomaly Detection
Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
http://arxiv.org/abs/2009.06847v1
• [cs.LG]Deep Transparent Prediction through Latent Representation Analysis
D. Kollias, N. Bouas, Y. Vlaxos, V. Brillakis, M. Seferis, I. Kollia, L. Sukissian, J. Wingate, S. Kollias
http://arxiv.org/abs/2009.07044v1
• [cs.LG]Demand Forecasting of individual Probability Density Functions with Machine Learning
F. Wick, U. Kerzel, M. Hahn, M. Wolf, T. Singhal, M. Feindt
http://arxiv.org/abs/2009.07052v1
• [cs.LG]Efficient Transformers: A Survey
Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
http://arxiv.org/abs/2009.06732v1
• [cs.LG]Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data
Alberto Nogales, Rodrigo Díaz Morón, Álvaro J. García-Tejedor
http://arxiv.org/abs/2009.06704v1
• [cs.LG]Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems
Peyman Tehrani, Marco Levorato
http://arxiv.org/abs/2009.06825v1
• [cs.LG]Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association
Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, Yi Pan
http://arxiv.org/abs/2009.07173v1
• [cs.LG]Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis, George Karypis
http://arxiv.org/abs/2009.06946v1
• [cs.LG]Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns
Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto, Travis Ault, Josette Dorius, Samir Abdelrahman
http://arxiv.org/abs/2009.06780v1
• [cs.LG]Interpretable and Interactive Summaries ofActionable Recourses
Kaivalya Rawal, Himabindu Lakkaraju
http://arxiv.org/abs/2009.07165v1
• [cs.LG]Learning Functors using Gradient Descent
Bruno Gavranović
http://arxiv.org/abs/2009.06837v1
• [cs.LG]Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction
Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto, Samir Abdelrahman
http://arxiv.org/abs/2009.06783v1
• [cs.LG]MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization
Wei Chen, Faez Ahmed
http://arxiv.org/abs/2009.07110v1
• [cs.LG]New complex network building methodology for High Level Classification based on attribute-attribute interaction
Esteban Wilfredo Vilca Zuñiga
http://arxiv.org/abs/2009.06762v1
• [cs.LG]On the use of local structural properties for improving the efficiency of hierarchical community detection methods
Julio-Omar Palacio-Niño, Fernando Berzal
http://arxiv.org/abs/2009.06798v1
• [cs.LG]Optimal Decision Trees for Nonlinear Metrics
Emir Demirović, Peter J. Stuckey
http://arxiv.org/abs/2009.06921v1
• [cs.LG]Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim, Wonho Choo, Hyun Oh Song
http://arxiv.org/abs/2009.06962v1
• [cs.LG]Second-order Neural Network Training Using Complex-step Directional Derivative
Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang
http://arxiv.org/abs/2009.07098v1
• [cs.LG]Soft policy optimization using dual-track advantage estimator
Yubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, Weidong Zhang
http://arxiv.org/abs/2009.06858v1
• [cs.LG]The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
Haiyang Yu, Ningyu Zhang, Shumin Deng, Zonggang Yuan, Yantao Jia, Huajun Chen
http://arxiv.org/abs/2009.07022v1
• [cs.NE]Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain
Beren Millidge, Alexander Tschantz, Anil K Seth, Christopher L Buckley
http://arxiv.org/abs/2009.05359v2
• [cs.NE]Ensemble learning of diffractive optical networks
Md Sadman Sakib Rahman, Jingxi Li, Deniz Mengu, Yair Rivenson, Aydogan Ozcan
http://arxiv.org/abs/2009.06869v1
• [cs.NE]Short-term synaptic plasticity optimally models continuous environments
Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou
http://arxiv.org/abs/2009.06808v1
• [cs.NE]Simple Simultaneous Ensemble Learning in Genetic Programming
Marco Virgolin
http://arxiv.org/abs/2009.06037v2
• [cs.NE]Variable Binding for Sparse Distributed Representations: Theory and Applications
E. Paxon Frady, Denis Kleyko, Friedrich T. Sommer
http://arxiv.org/abs/2009.06734v1
• [cs.OS]TardiS: Migrating Containers with RDMA Networks
Maksym Planeta, Jan Bierbaum, Leo Sahaya Daphne Antony, Torsten Hoefler, Hermann Härtig
http://arxiv.org/abs/2009.06988v1
• [cs.RO]Approximate Piecewise Constant Curvature Equivalent Model and Their Application to Continuum Robot Configuration Estimation
Hao Cheng, Houde Liu, Xueqian Wang, Bin Liang
http://arxiv.org/abs/2009.06801v1
• [cs.RO]Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping
Thai Duong, Michael Yip, Nikolay Atanasov
http://arxiv.org/abs/2009.07207v1
• [cs.RO]Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov, Weicong Sng, Hian Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh
http://arxiv.org/abs/2009.07083v1
• [cs.RO]RaLL: End-to-end Radar Localization on Lidar Map Using Differentiable Measurement Model
Huan Yin, Yue Wang, Runjian Chen, Rong Xiong
http://arxiv.org/abs/2009.07061v1
• [cs.RO]Socially competent robots: adaptation improves leadership performance in groups of live fish
Tim Landgraf, Hauke J. Moenck, Gregor H. W. Gebhardt, Nils Weimar, Mathis Hocke, Moritz Maxeiner, Lea Musiolek, Jens Krause, David Bierbach
http://arxiv.org/abs/2009.06633v1
• [cs.SI]Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
http://arxiv.org/abs/2009.07227v1
• [cs.SI]Hierarchical community structure in networks
Michael T. Schaub, Leto Peel
http://arxiv.org/abs/2009.07196v1
• [cs.SI]Joint Subgraph-to-Subgraph Transitions — Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling
Justus Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger
http://arxiv.org/abs/2009.06770v1
• [cs.SI]Sustained Online Amplification of COVID-19 Elites in the United States
Ryan J. Gallagher, Larissa Doroshenko, Sarah Shugars, David Lazer, Brooke Foucault Welles
http://arxiv.org/abs/2009.07255v1
• [cs.SI]The impact of supply-chain networks on interactions between the anti-COVID-19 lockdowns in different regions
Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo
http://arxiv.org/abs/2009.06894v1
• [cs.SI]Understanding Global Reaction to the Recent Outbreaks of COVID-19: Insights from Instagram Data Analysis
Abdul Muntakim Rafi, Shivang Rana, Rajwinder Kaur, Q. M. Jonathan Wu, Pooya Moradian Zadeh
http://arxiv.org/abs/2009.06862v1
• [econ.EM]Inference for high-dimensional exchangeable arrays
Harold D. Chiang, Kengo Kato, Yuya Sasaki
http://arxiv.org/abs/2009.05150v2
• [econ.GN]Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion
Joshua Becker, Abdullah Almaatouq, Agnes Horvat
http://arxiv.org/abs/2009.07202v1
• [eess.AS]Controllable neural text-to-speech synthesis using intuitive prosodic features
Tuomo Raitio, Ramya Rasipuram, Dan Castellani
http://arxiv.org/abs/2009.06775v1
• [eess.AS]When Automatic Voice Disguise Meets Automatic Speaker Verification
Linlin Zheng, Jiakang Li, Meng Sun, Xiongwei Zhang, Thomas Fang Zheng
http://arxiv.org/abs/2009.06863v1
• [eess.IV]AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P S, Densen Puthussery, Jiji C V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
http://arxiv.org/abs/2009.06943v1
• [eess.IV]Attention Cube Network for Image Restoration
Yucheng Hang, Qingmin Liao, Wenming Yang, Yupeng Chen, Jie Zhou
http://arxiv.org/abs/2009.05907v2
• [eess.IV]F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration
Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender
http://arxiv.org/abs/2009.07151v1
• [eess.IV]Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal
Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma
http://arxiv.org/abs/2009.06912v1
• [eess.IV]Microscope Based HER2 Scoring System
Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han
http://arxiv.org/abs/2009.06816v1
• [eess.IV]Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze
http://arxiv.org/abs/2009.07092v1
• [eess.IV]Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning
Bo Zhou, Yu-Jung Tsai, Chi Liu
http://arxiv.org/abs/2009.06757v1
• [eess.SP]Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks
Yasar Sinan Nasir, Dongning Guo
http://arxiv.org/abs/2009.06681v1
• [eess.SP]Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs
Yujie Jin, Hongliang Zhang, Shuhang Zhang, Zhu Han, Lingyang Song
http://arxiv.org/abs/2009.06826v1
• [eess.SY]Safe learning-based trajectory tracking for underactuated vehicles with partially unknown dynamics
Thomas Beckers, Leonardo Colombo, Sandra Hirche
http://arxiv.org/abs/2009.06689v1
• [hep-ph]PDFFlow: parton distribution functions on GPU
Stefano Carrazza, Juan M. Cruz-Martinez, Marco Rossi
http://arxiv.org/abs/2009.06635v1
• [math.CT]Interfacing biology, category theory and mathematical statistics
Dominique Pastor, Erwan Beurier, Andrée Ehresmann, Roger Waldeck
http://arxiv.org/abs/2009.06832v1
• [math.NA]Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion
Steven Mattis, Kyle Robert Steffen, Troy Butler, Clint N. Dawson, Donald Estep
http://arxiv.org/abs/2009.06918v1
• [math.OC]Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics
Youbang Sun, Shahin Shahrampour
http://arxiv.org/abs/2009.06747v1
• [math.ST]Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs
François Bachoc
http://arxiv.org/abs/2009.07002v1
• [math.ST]Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments
Cheng Mao, Yihong Wu
http://arxiv.org/abs/2009.06784v1
• [math.ST]Minimax optimal estimator in the stochastic inverse problem for exponential Radon transform
Anuj Abhishek
http://arxiv.org/abs/2009.07131v1
• [physics.app-ph]Miniaturized Circuitry for Capacitive Self-sensing and Closed-loop Control of Soft Electrostatic Transducers
Khoi Ly, Nicholas Kellaris, Dade McMorris, Brian K. Johnson, Eric Acome, Vani Sundaram, Mantas Naris, J. Sean Humbert, Mark E. Rentschler, Christoph Keplinger, Nikolaus Correll
http://arxiv.org/abs/2009.06852v1
• [physics.comp-ph]A machine learning approach for efficient multi-dimensional integration
Boram Yoon
http://arxiv.org/abs/2009.06697v1
• [physics.comp-ph]Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation
Yu Duan, Matthew Eaton, Michael Bluck
http://arxiv.org/abs/2009.07184v1
• [physics.med-ph]An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus
Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita
http://arxiv.org/abs/2009.06629v1
• [q-bio.NC]Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy
Xuyun Wen, Liming Hsu, Weili Lin, Han Zhang, Dinggang Shen
http://arxiv.org/abs/2009.06899v1
• [q-bio.PE]Disease control as an optimization problem
Miguel Navascues, Costantino Budroni, Yelena Guryanova
http://arxiv.org/abs/2009.06576v2
• [q-bio.QM]Machine learning predicts early onset of fever from continuous physiological data of critically ill patients
Aditya Singh, Akram Mohammed, Lokesh Chinthala, Rishikesan Kamaleswaran
http://arxiv.org/abs/2009.07103v1
• [quant-ph]A functorial characterization of von Neumann entropy
Arthur J. Parzygnat
http://arxiv.org/abs/2009.07125v1
• [quant-ph]Fault-tolerant Coding for Quantum Communication
Matthias Christandl, Alexander Müller-Hermes
http://arxiv.org/abs/2009.07161v1
• [quant-ph]Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman
http://arxiv.org/abs/2009.06767v1
• [stat.AP]Stop the Clock: Are Timeout Effects Real?
Niander Assis, Renato Assunção, Pedro O. S. Vaz-De-Melo
http://arxiv.org/abs/2009.06750v1
• [stat.ME]Constructing a More Closely Matched Control Group in a Difference-in-Differences Analysis: Its Effect on History Interacting with Group Bias
Pallavi Basu, Dylan S. Small
http://arxiv.org/abs/2009.06935v1
• [stat.ME]Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders
Xiaohong Chen, Ying Liu, Shujie Ma, Zheng Zhang
http://arxiv.org/abs/2009.07055v1
• [stat.ME]Real Time Anomaly Detection And Categorisation
Alexander T. M. Fisch, Lawrence Bardwell, Idris A. Eckley
http://arxiv.org/abs/2009.06670v1
• [stat.ME]Structural time series grammar over variable blocks
David Rushing Dewhurst
http://arxiv.org/abs/2009.06865v1
• [stat.ME]Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data
Kathrin Möllenhoff, Achim Tresch
http://arxiv.org/abs/2009.06699v1
• [stat.ML]Convolutional Signature for Sequential Data
Ming Min, Tomoyuki Ichiba
http://arxiv.org/abs/2009.06719v1
• [stat.ML]Improve black-box sequential anomaly detector relevancy with limited user feedback
Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot
http://arxiv.org/abs/2009.07241v1
• [stat.ML]Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
http://arxiv.org/abs/2009.06828v1
• [stat.ML]On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili, Kia Khezeli, Victor Picheny
http://arxiv.org/abs/2009.06966v1
• [stat.ML]Private data sharing between decentralized users through the privGAN architecture
Jean-Francois Rajotte, Raymond T Ng
http://arxiv.org/abs/2009.06764v1
• [stat.ML]Universal consistency of Wasserstein $k$-NN classifier
Donlapark Ponnoprat
http://arxiv.org/abs/2009.04651v2
若有收获，就点个赞吧
0 人点赞
