cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.RO - 机器人学 econ.EM - 计量经济学 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 math-ph - 数学物理 math.OC - 优化与控制 math.ST - 统计理论 nlin.CG - 细胞自动机与晶格气 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.RM - 风险管理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking
• [cs.CL]Beyond Accuracy: Behavioral Testing of NLP models with CheckList
• [cs.CL]Comparative Analysis of Word Embeddings for Capturing Word Similarities
• [cs.CL]Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking
• [cs.CL]Detecting East Asian Prejudice on Social Media
• [cs.CL]Distilling Knowledge from Pre-trained Language Models via Text Smoothing
• [cs.CL]Evidence Inference 2.0: More Data, Better Models
• [cs.CL]Learning to Detect Unacceptable Machine Translations for Downstream Tasks
• [cs.CL]Literature Triage on Genomic Variation Publications by Knowledge-enhanced Multi-channel CNN
• [cs.CL]Quantum Natural Language Processing on Near-Term Quantum Computers
• [cs.CL]SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
• [cs.CL]SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
• [cs.CL]Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks
• [cs.CL]Towards Conversational Recommendation over Multi-Type Dialogs
• [cs.CR]Blind Backdoors in Deep Learning Models
• [cs.CR]Defending Model Inversion and Membership Inference Attacks via Prediction Purification
• [cs.CV]A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
• [cs.CV]A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View
• [cs.CV]Condensed Movies: Story Based Retrieval with Contextual Embeddings
• [cs.CV]Data-Free Network Quantization With Adversarial Knowledge Distillation
• [cs.CV]Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors
• [cs.CV]Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization
• [cs.CV]Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
• [cs.CV]Introduction of a new Dataset and Method for Detecting and Counting the Pistachios based on Deep Learning
• [cs.CV]Learning Generalized Spoof Cues for Face Anti-spoofing
• [cs.CV]NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
• [cs.CV]Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images
• [cs.CV]On Vocabulary Reliance in Scene Text Recognition
• [cs.CV]One-Shot Object Detection without Fine-Tuning
• [cs.CV]OpenEDS2020: Open Eyes Dataset
• [cs.CV]Point Cloud Completion by Skip-attention Network with Hierarchical Folding
• [cs.CV]Projection & Probability-Driven Black-Box Attack
• [cs.CV]RetinaMask: A Face Mask detector
• [cs.CV]Sparsely-Labeled Source Assisted Domain Adaptation
• [cs.CV]SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
• [cs.CV]Synchronous Bidirectional Learning for Multilingual Lip Reading
• [cs.CV]TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator
• [cs.CV]Text Synopsis Generation for Egocentric Videos
• [cs.CV]Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
• [cs.CY]Encouraging early mastery of computational concepts through play
• [cs.CY]GASDUINO-Wireless Air Quality Monitoring System Using Internet of Things
• [cs.CY]Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment
• [cs.CY]IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation
• [cs.DC]A Collaborative Filtering Approah for the Automatic Tuning of Compiler Optimisations
• [cs.DC]Distributed K-Backup-Placement and Applications to Virtual Memory in Heterogeneous Networks
• [cs.DC]Importing Relationships into a Running Graph Database Using Parallel Processing
• [cs.DC]TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
• [cs.DS]Efficient Reconstruction of Stochastic Pedigrees
• [cs.GR]Sequential Gallery for Interactive Visual Design Optimization
• [cs.HC]BCI-Controlled Hands-Free Wheelchair Navigation with Obstacle Avoidance
• [cs.HC]Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction
• [cs.HC]K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
• [cs.IR]Modeling Document Interactions for Learning to Rank with Regularized Self-Attention
• [cs.IT]Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network
• [cs.IT]Efficient Betweenness Based Content Caching and Delivery Strategy in Wireless Networks
• [cs.IT]Graphic Lattices and Matrix Lattices Of Topological Coding
• [cs.IT]OTFS-NOMA based on SCMA
• [cs.LG]A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods
• [cs.LG]Adversarial Graph Embeddings for Fair Influence Maximization over SocialNetworks
• [cs.LG]An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
• [cs.LG]Automatic Cross-Domain Transfer Learning for Linear Regression
• [cs.LG]Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
• [cs.LG]GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
• [cs.LG]Geometric graphs from data to aid classification tasks with graph convolutional networks
• [cs.LG]Is an Affine Constraint Needed for Affine Subspace Clustering?
• [cs.LG]Lossy Compression with Distortion Constrained Optimization
• [cs.LG]Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
• [cs.LG]ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise
• [cs.LG]Project and Forget: Solving Large-Scale Metric Constrained Problems
• [cs.LG]Reinforcement Learning with Feedback Graphs
• [cs.LG]Sherpa: Robust Hyperparameter Optimization for Machine Learning
• [cs.LG]The critical locus of overparameterized neural networks
• [cs.LG]Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding
• [cs.LG]Variance Constrained Autoencoding
• [cs.LG]Visualisation and knowledge discovery from interpretable models
• [cs.LO]The ghosts of forgotten things: A study on size after forgetting
• [cs.NE]Continuous Learning in a Single-Incremental-Task Scenario with Spike Features
• [cs.NE]Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks
• [cs.NE]Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
• [cs.NE]Towards On-Chip Bayesian Neuromorphic Learning
• [cs.RO]A Hand Motion-guided Articulation and Segmentation Estimation
• [cs.RO]A Monte Carlo Approach to Closing the Reality Gap
• [cs.RO]Active Preference Learning using Maximum Regret
• [cs.RO]Design and Kinematic Optimization of a Novel Underactuated Robotic Hand Exoskeleton
• [cs.RO]LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
• [cs.RO]Learning hierarchical behavior and motion planning for autonomous driving
• [cs.RO]Minimally Invasive Social Navigation
• [cs.RO]Streamline-Based Control of Underwater Gliders in 3D Environments
• [cs.RO]Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software
• [econ.EM]Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods
• [econ.EM]Incentive-Compatible Critical Values
• [eess.AS]Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
• [eess.AS]Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
• [eess.IV]Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation
• [eess.IV]Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images
• [eess.IV]Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
• [eess.IV]Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction
• [eess.IV]Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images
• [eess.IV]Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations
• [eess.SP]MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems
• [eess.SY]Multi-Robot Task Allocation and Scheduling Considering Cooperative Tasks and Precedence Constraints
• [eess.SY]On the use of Data-Driven Cost Function Identification in Parametrized NMPC
• [eess.SY]You Snooze, You Lose: Minimizing Channel-Aware Age of Information
• [math-ph]Signaling to Relativistic Observers: An Einstein-Shannon-Riemann Encounter
• [math.OC]Nonlinear State Estimation for Inertial Navigation Systems With Intermittent Measurements
• [math.ST]How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?
• [math.ST]Lower bounds in multiple testing: A framework based on derandomized proxies
• [math.ST]Parameter estimation for one-sided heavy-tailed distributions
• [nlin.CG]Lenia and Expanded Universe
• [physics.soc-ph]EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic
• [q-bio.QM]Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma
• [q-bio.QM]Predicting gene expression from network topology using graph neural networks
• [q-fin.RM]Proving prediction prudence
• [stat.AP]Modelling arterial travel time distribution using copulas
• [stat.AP]Pandemic influenza and the gender imbalance: Evidence from early twentieth century Japan
• [stat.ME]Flexible co-data learning for high-dimensional prediction
• [stat.ME]From univariate to multivariate coupling between continuous signals and point processes: a mathematical framework
• [stat.ME]High-Dimensional Inference Based on the Leave-One-Covariate-Out LASSO Path
• [stat.ME]Mixtures of Contaminated Matrix Variate Normal Distributions
• [stat.ME]Optimal Thinning of MCMC Output
• [stat.ME]The numerical statistical fan for noisy experimental designs
• [stat.ML]Amortized Bayesian Inference for Models of Cognition
• [stat.ML]Compressing Large Sample Data for Discriminant Analysis
• [stat.ML]In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
• [stat.ML]On Training and Evaluation of Neural Network Approaches for Model Predictive Control
• [stat.ML]Spectral Ranking with Covariates
• [stat.ML]The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration
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• [cs.AI]Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking
Lenz Belzner, Martin Wirsing
http://arxiv.org/abs/2005.03898v1
• [cs.CL]Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
http://arxiv.org/abs/2005.04118v1
• [cs.CL]Comparative Analysis of Word Embeddings for Capturing Word Similarities
Martina Toshevska, Frosina Stojanovska, Jovan Kalajdjieski
http://arxiv.org/abs/2005.03812v1
• [cs.CL]Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking
Puhai Yang, Heyan Huang, Xian-Ling Mao
http://arxiv.org/abs/2005.03923v1
• [cs.CL]Detecting East Asian Prejudice on Social Media
Bertie Vidgen, Austin Botelho, David Broniatowski, Ella Guest, Matthew Hall, Helen Margetts, Rebekah Tromble, Zeerak Waseem, Scott Hale
http://arxiv.org/abs/2005.03909v1
• [cs.CL]Distilling Knowledge from Pre-trained Language Models via Text Smoothing
Xing Wu, Yibing Liu, Xiangyang Zhou, Dianhai Yu
http://arxiv.org/abs/2005.03848v1
• [cs.CL]Evidence Inference 2.0: More Data, Better Models
Jay DeYoung, Eric Lehman, Ben Nye, Iain J. Marshall, Byron C. Wallace
http://arxiv.org/abs/2005.04177v1
• [cs.CL]Learning to Detect Unacceptable Machine Translations for Downstream Tasks
Meng Zhang, Xin Jiang, Yang Liu, Qun Liu
http://arxiv.org/abs/2005.03925v1
• [cs.CL]Literature Triage on Genomic Variation Publications by Knowledge-enhanced Multi-channel CNN
Chenhui Lv, Qian Lu, Xiang Zhang
http://arxiv.org/abs/2005.04044v1
• [cs.CL]Quantum Natural Language Processing on Near-Term Quantum Computers
Konstantinos Meichanetzidis, Stefano Gogioso, Giovanni De Felice, Nicolò Chiappori, Alexis Toumi, Bob Coecke
http://arxiv.org/abs/2005.04147v1
• [cs.CL]SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
Yang Gao, Wei Zhao, Steffen Eger
http://arxiv.org/abs/2005.03724v1
• [cs.CL]SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
Da Yin, Tao Meng, Kai-Wei Chang
http://arxiv.org/abs/2005.04114v1
• [cs.CL]Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks
Karthik Gopalakrishnan, Fathi M. Salem
http://arxiv.org/abs/2005.03993v1
• [cs.CL]Towards Conversational Recommendation over Multi-Type Dialogs
Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu
http://arxiv.org/abs/2005.03954v1
• [cs.CR]Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan, Vitaly Shmatikov
http://arxiv.org/abs/2005.03823v1
• [cs.CR]Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Ziqi Yang, Bin Shao, Bohan Xuan, Ee-Chien Chang, Fan Zhang
http://arxiv.org/abs/2005.03915v1
• [cs.CV]A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
Steven I Reeves, Dongwook Lee, Anurag Singh, Kunal Verma
http://arxiv.org/abs/2005.03780v1
• [cs.CV]A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View
Lennart Reiher, Bastian Lampe, Lutz Eckstein
http://arxiv.org/abs/2005.04078v1
• [cs.CV]Condensed Movies: Story Based Retrieval with Contextual Embeddings
Max Bain, Arsha Nagrani, Andrew Brown, Andrew Zisserman
http://arxiv.org/abs/2005.04208v1
• [cs.CV]Data-Free Network Quantization With Adversarial Knowledge Distillation
Yoojin Choi, Jihwan Choi, Mostafa El-Khamy, Jungwon Lee
http://arxiv.org/abs/2005.04136v1
• [cs.CV]Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors
Yin Tang, Qi Teng, Lei Zhang, Fuhong Min, Jun He
http://arxiv.org/abs/2005.03948v1
• [cs.CV]Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization
Indrajit Kurmi, David C. Schedl, Oliver Bimber
http://arxiv.org/abs/2005.04065v1
• [cs.CV]Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
http://arxiv.org/abs/2005.04143v1
• [cs.CV]Introduction of a new Dataset and Method for Detecting and Counting the Pistachios based on Deep Learning
Mohammad Rahimzadeh, Abolfazl Attar
http://arxiv.org/abs/2005.03990v1
• [cs.CV]Learning Generalized Spoof Cues for Face Anti-spoofing
Haocheng Feng, Zhibin Hong, Haixiao Yue, Yang Chen, Keyao Wang, Junyu Han, Jingtuo Liu, Errui Ding
http://arxiv.org/abs/2005.03922v1
• [cs.CV]NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Możejko, Tomasz Latkowski, Lukasz Treszczotko, Michał Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar
http://arxiv.org/abs/2005.04117v1
• [cs.CV]Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images
Kiru Park, Timothy Patten, Markus Vincze
http://arxiv.org/abs/2005.03717v1
• [cs.CV]On Vocabulary Reliance in Scene Text Recognition
Zhaoyi Wan, Jielei Zhang, Liang Zhang, Jiebo Luo, Cong Yao
http://arxiv.org/abs/2005.03959v1
• [cs.CV]One-Shot Object Detection without Fine-Tuning
Xiang Li, Lin Zhang, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2005.03819v1
• [cs.CV]OpenEDS2020: Open Eyes Dataset
Cristina Palmero, Abhishek Sharma, Karsten Behrendt, Kapil Krishnakumar, Oleg V. Komogortsev, Sachin S. Talathi
http://arxiv.org/abs/2005.03876v1
• [cs.CV]Point Cloud Completion by Skip-attention Network with Hierarchical Folding
Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
http://arxiv.org/abs/2005.03871v1
• [cs.CV]Projection & Probability-Driven Black-Box Attack
Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian
http://arxiv.org/abs/2005.03837v1
• [cs.CV]RetinaMask: A Face Mask detector
Mingjie Jiang, Xinqi Fan
http://arxiv.org/abs/2005.03950v1
• [cs.CV]Sparsely-Labeled Source Assisted Domain Adaptation
Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding
http://arxiv.org/abs/2005.04111v1
• [cs.CV]SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
http://arxiv.org/abs/2005.03844v1
• [cs.CV]Synchronous Bidirectional Learning for Multilingual Lip Reading
Mingshuang Luo, Shuang Yang, Xilin Chen, Zitao Liu, Shiguang Shan
http://arxiv.org/abs/2005.03846v1
• [cs.CV]TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator
Pengyao Zhao, Quanli Liu, Wei Wang, Qiang Guo
http://arxiv.org/abs/2005.04063v1
• [cs.CV]Text Synopsis Generation for Egocentric Videos
Aidean Sharghi, Niels da Vitoria Lobo, Mubarak Shah
http://arxiv.org/abs/2005.03804v1
• [cs.CV]Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Yujiao Shi, Xin Yu, Dylan Campbell, Hongdong Li
http://arxiv.org/abs/2005.03860v1
• [cs.CY]Encouraging early mastery of computational concepts through play
Hannah M. Dee, Jordi Freixenet, Xavier Cufi, Eduard Muntaner Perich, Valentina Poggioni, Marius Marian, Alfredo Milani
http://arxiv.org/abs/2005.03930v1
• [cs.CY]GASDUINO-Wireless Air Quality Monitoring System Using Internet of Things
M. E. Karar, A. M. Al-Masaad, O. Reyad
http://arxiv.org/abs/2005.04126v1
• [cs.CY]Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment
Ioannis Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, Anastasios Delopoulos
http://arxiv.org/abs/2005.03957v1
• [cs.CY]IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation
M. E. Karar, M. F. Al-Rasheed, A. F. Al-Rasheed, O. Reyad
http://arxiv.org/abs/2005.04158v1
• [cs.DC]A Collaborative Filtering Approah for the Automatic Tuning of Compiler Optimisations
Stefano Cereda, Gianluca Palermo, Paolo Cremonesi, Stefano Doni
http://arxiv.org/abs/2005.04092v1
• [cs.DC]Distributed K-Backup-Placement and Applications to Virtual Memory in Heterogeneous Networks
Gal Oren, Leonid Barenboim
http://arxiv.org/abs/2005.04198v1
• [cs.DC]Importing Relationships into a Running Graph Database Using Parallel Processing
Joshua Porter, Aleks Ontman
http://arxiv.org/abs/2005.04093v1
• [cs.DC]TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman Amarasinghe
http://arxiv.org/abs/2005.04091v1
• [cs.DS]Efficient Reconstruction of Stochastic Pedigrees
Younhun Kim, Elchanan Mossel, Govind Ramnarayan, Paxton Turner
http://arxiv.org/abs/2005.03810v1
• [cs.GR]Sequential Gallery for Interactive Visual Design Optimization
Yuki Koyama, Issei Sato, Masataka Goto
http://arxiv.org/abs/2005.04107v1
• [cs.HC]BCI-Controlled Hands-Free Wheelchair Navigation with Obstacle Avoidance
Ramy Mounir, Redwan Alqasemi, Rajiv Dubey
http://arxiv.org/abs/2005.04209v1
• [cs.HC]Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction
Youngduck Choi, Yoonho Na, Youngjik Yoon, Jonghun Shin, Chan Bae, Hongseok Suh, Byungsoo Kim, Jaewe Heo
http://arxiv.org/abs/2005.03818v1
• [cs.HC]K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Cheul Young Park, Narae Cha, Soowon Kang, Auk Kim, Ahsan Habib Khandoker, Leontios Hadjileontiadis, Alice Oh, Yong Jeong, Uichin Lee
http://arxiv.org/abs/2005.04120v1
• [cs.IR]Modeling Document Interactions for Learning to Rank with Regularized Self-Attention
Shuo Sun, Kevin Duh
http://arxiv.org/abs/2005.03932v1
• [cs.IT]Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network
Junyu Liu, Min Sheng, Ruiling Lyu, Yan Shi, Jiandong Li
http://arxiv.org/abs/2005.03879v1
• [cs.IT]Efficient Betweenness Based Content Caching and Delivery Strategy in Wireless Networks
Chenxi Zhao, Junyu Liu, Min Sheng, Yanpeng Dai
http://arxiv.org/abs/2005.03814v1
• [cs.IT]Graphic Lattices and Matrix Lattices Of Topological Coding
Bing Yao
http://arxiv.org/abs/2005.03937v1
• [cs.IT]OTFS-NOMA based on SCMA
Kuntal Deka, Anna Thomas, Sanjeev Sharma
http://arxiv.org/abs/2005.03216v2
• [cs.LG]A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods
Anirbit Mukherjee, Ramchandran Muthukumar
http://arxiv.org/abs/2005.04211v1
• [cs.LG]Adversarial Graph Embeddings for Fair Influence Maximization over SocialNetworks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller
http://arxiv.org/abs/2005.04074v1
• [cs.LG]An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler
http://arxiv.org/abs/2005.03912v1
• [cs.LG]Automatic Cross-Domain Transfer Learning for Linear Regression
Liu Xinshun, He Xin, Mao Hui, Liu Jing, Lai Weizhong, Ye Qingwen
http://arxiv.org/abs/2005.04088v1
• [cs.LG]Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
Xiaotao Jia, Jianlei Yang, Runze Liu, Xueyan Wang, Sorin Dan Cotofana, Weisheng Zhao
http://arxiv.org/abs/2005.03857v1
• [cs.LG]GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
Ali Hadi Zadeh, Andreas Moshovos
http://arxiv.org/abs/2005.03842v1
• [cs.LG]Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona
http://arxiv.org/abs/2005.04081v1
• [cs.LG]Is an Affine Constraint Needed for Affine Subspace Clustering?
Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal
http://arxiv.org/abs/2005.03888v1
• [cs.LG]Lossy Compression with Distortion Constrained Optimization
Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen
http://arxiv.org/abs/2005.04064v1
• [cs.LG]Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow
http://arxiv.org/abs/2005.04073v1
• [cs.LG]ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise
Xinshao Wang, Yang Hua, Elyor Kodirov, Neil M. Robertson
http://arxiv.org/abs/2005.03788v1
• [cs.LG]Project and Forget: Solving Large-Scale Metric Constrained Problems
Rishi Sonthalia, Anna C. Gilbert
http://arxiv.org/abs/2005.03853v1
• [cs.LG]Reinforcement Learning with Feedback Graphs
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
http://arxiv.org/abs/2005.03789v1
• [cs.LG]Sherpa: Robust Hyperparameter Optimization for Machine Learning
Lars Hertel, Julian Collado, Peter Sadowski, Jordan Ott, Pierre Baldi
http://arxiv.org/abs/2005.04048v1
• [cs.LG]The critical locus of overparameterized neural networks
Y. Cooper
http://arxiv.org/abs/2005.04210v1
• [cs.LG]Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding
Rishi Sonthalia, Anna C. Gilbert
http://arxiv.org/abs/2005.03847v1
• [cs.LG]Variance Constrained Autoencoding
D. T. Braithwaite, M. O’Connor, W. B. Kleijn
http://arxiv.org/abs/2005.03807v1
• [cs.LG]Visualisation and knowledge discovery from interpretable models
Sreejita Ghosh, Peter Tino, Kerstin Bunte
http://arxiv.org/abs/2005.03632v2
• [cs.LO]The ghosts of forgotten things: A study on size after forgetting
Paolo Liberatore
http://arxiv.org/abs/2005.04123v1
• [cs.NE]Continuous Learning in a Single-Incremental-Task Scenario with Spike Features
Ruthvik Vaila, John Chiasson, Vishal Saxena
http://arxiv.org/abs/2005.04167v1
• [cs.NE]Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks
Trung B. Nguyen, Will N. Browne, Mengjie Zhang
http://arxiv.org/abs/2005.03947v1
• [cs.NE]Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
http://arxiv.org/abs/2005.04166v1
• [cs.NE]Towards On-Chip Bayesian Neuromorphic Learning
Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia
http://arxiv.org/abs/2005.04165v1
• [cs.RO]A Hand Motion-guided Articulation and Segmentation Estimation
Richard Sahala Hartanto, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi
http://arxiv.org/abs/2005.03691v1
• [cs.RO]A Monte Carlo Approach to Closing the Reality Gap
Damian Lyons, James Finocchiaro, Michael Novitzky, Christopher Korpela
http://arxiv.org/abs/2005.03809v1
• [cs.RO]Active Preference Learning using Maximum Regret
Nils Wilde, Dana Kulic, Stephen L. Smith
http://arxiv.org/abs/2005.04067v1
• [cs.RO]Design and Kinematic Optimization of a Novel Underactuated Robotic Hand Exoskeleton
Mine Sarac, Massimiliano Solazzi, Edoardo Sotgiu, Massimo Bergamasco, Antonio Frisoli
http://arxiv.org/abs/2005.03747v1
• [cs.RO]LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Mārtiņš Možeiko, Eric Boise, Geehoon Uhm, Mark Gerow, Shalin Mehta, Eugene Agafonov, Tae Hyung Kim, Eric Sterner, Keunhae Ushiroda, Michael Reyes, Dmitry Zelenkovsky, Seonman Kim
http://arxiv.org/abs/2005.03778v1
• [cs.RO]Learning hierarchical behavior and motion planning for autonomous driving
Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
http://arxiv.org/abs/2005.03863v1
• [cs.RO]Minimally Invasive Social Navigation
Stefan H. Kiss, K. Y. Cadmus To, Chanyeol Yoo, Robert Fitch, Alen Alempijevic
http://arxiv.org/abs/2005.03840v1
• [cs.RO]Streamline-Based Control of Underwater Gliders in 3D Environments
K. Y. Cadmus To, James Ju Heon Lee, Chanyeol Yoo, Stuart Anstee, Robert Fitch
http://arxiv.org/abs/2005.03834v1
• [cs.RO]Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software
D. M. Lyons, S. Zahra
http://arxiv.org/abs/2005.03813v1
• [econ.EM]Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods
Niko Hauzenberger, Florian Huber, Gary Koop
http://arxiv.org/abs/2005.03906v1
• [econ.EM]Incentive-Compatible Critical Values
Adam McCloskey, Pascal Michaillat
http://arxiv.org/abs/2005.04141v1
• [eess.AS]Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
Myunghun Jung, Youngmoon Jung, Jahyun Goo, Hoirin Kim
http://arxiv.org/abs/2005.03867v1
• [eess.AS]Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention
Myunghun Jung, Youngmoon Jung, Jahyun Goo, Hoirin Kim
http://arxiv.org/abs/org/abs/2005.03867v1
• [eess.IV]Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation
Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhemei Yu
http://arxiv.org/abs/2005.03924v1
• [eess.IV]Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images
Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Moncef Gabbouj
http://arxiv.org/abs/2005.04014v1
• [eess.IV]Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
Rasoul Sali, Sodiq Adewole, Lubaina Ehsan, Lee A. Denson, Paul Kelly, Beatrice C. Amadi, Lori Holtz, Syed Asad Ali, Sean R. Moore, Sana Syed, Donald E. Brown
http://arxiv.org/abs/2005.03868v1
• [eess.IV]Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction
Xikai Yang, Xuehang Zheng, Yong Long, Saiprasad Ravishankar
http://arxiv.org/abs/2005.03825v1
• [eess.IV]Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images
Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen
http://arxiv.org/abs/2005.03832v1
• [eess.IV]Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations
John McManigle, Raquel Bartz, Lawrence Carin
http://arxiv.org/abs/2005.03824v1
• [eess.SP]MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems
Anuradha Kar
http://arxiv.org/abs/2005.03795v1
• [eess.SY]Multi-Robot Task Allocation and Scheduling Considering Cooperative Tasks and Precedence Constraints
Esther Bischoff, Fabian Meyer, Jairo Inga, Sören Hohmann
http://arxiv.org/abs/2005.03902v1
• [eess.SY]On the use of Data-Driven Cost Function Identification in Parametrized NMPC
Mazen Alamir
http://arxiv.org/abs/2005.04076v1
• [eess.SY]You Snooze, You Lose: Minimizing Channel-Aware Age of Information
Bhishma Dedhia, Sharayu Moharir
http://arxiv.org/abs/2005.04036v1
• [math-ph]Signaling to Relativistic Observers: An Einstein-Shannon-Riemann Encounter
Mladen Kovačević
http://arxiv.org/abs/2005.03720v1
• [math.OC]Nonlinear State Estimation for Inertial Navigation Systems With Intermittent Measurements
Miaomiao Wang, Abdelhamid Tayebi
http://arxiv.org/abs/2005.03765v1
• [math.ST]How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?
Benedikt M. Pötscher, David Preinerstorfer
http://arxiv.org/abs/2005.04089v1
• [math.ST]Lower bounds in multiple testing: A framework based on derandomized proxies
Max Rabinovich, Michael I. Jordan, Martin J. Wainwright
http://arxiv.org/abs/2005.03725v1
• [math.ST]Parameter estimation for one-sided heavy-tailed distributions
Phillip Kerger, Kei Kobayashi
http://arxiv.org/abs/2005.03662v1
• [nlin.CG]Lenia and Expanded Universe
Bert Wang-Chak Chan
http://arxiv.org/abs/2005.03742v1
• [physics.soc-ph]EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic
Enrico Ronchi, Ruggiero Lovreglio
http://arxiv.org/abs/2005.04007v1
• [q-bio.QM]Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma
Jiapan Gu, Ziyuan Zhao, Zeng Zeng, Yuzhe Wang, Zhengyiren Qiu, Bharadwaj Veeravalli, Brian Kim Poh Goh, Glenn Kunnath Bonney, Krishnakumar Madhavan, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow
http://arxiv.org/abs/2005.04069v1
• [q-bio.QM]Predicting gene expression from network topology using graph neural networks
Ramin Hasibi, Tom Michoel
http://arxiv.org/abs/2005.03961v1
• [q-fin.RM]Proving prediction prudence
Dirk Tasche
http://arxiv.org/abs/2005.03698v1
• [stat.AP]Modelling arterial travel time distribution using copulas
Adam Samara, Felix Rempe, Simone Göttlich
http://arxiv.org/abs/2005.03699v1
• [stat.AP]Pandemic influenza and the gender imbalance: Evidence from early twentieth century Japan
Kota Ogasawara, Minami Yumitori
http://arxiv.org/abs/2005.03855v1
• [stat.ME]Flexible co-data learning for high-dimensional prediction
Mirrelijn M. van Nee, Lodewyk F. A. Wessels, Mark A. van de Wiel
http://arxiv.org/abs/2005.04010v1
• [stat.ME]From univariate to multivariate coupling between continuous signals and point processes: a mathematical framework
Shervin Safavi, Nikos K. Logothetis, Michel Besserve
http://arxiv.org/abs/2005.04034v1
• [stat.ME]High-Dimensional Inference Based on the Leave-One-Covariate-Out LASSO Path
Xiangyang Cao, Karl Gregory, Dewei Wang
http://arxiv.org/abs/2005.03694v1
• [stat.ME]Mixtures of Contaminated Matrix Variate Normal Distributions
Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas
http://arxiv.org/abs/2005.03861v1
• [stat.ME]Optimal Thinning of MCMC Output
Marina Riabiz, Wilson Chen, Jon Cockayne, Pawel Swietach, Steven A. Niederer, Lester Mackey, Chris. J. Oates
http://arxiv.org/abs/2005.03952v1
• [stat.ME]The numerical statistical fan for noisy experimental designs
Arkadius Kalka, Sonja Kuhnt
http://arxiv.org/abs/2005.04051v1
• [stat.ML]Amortized Bayesian Inference for Models of Cognition
Stefan T. Radev, Andreas Voss, Eva Marie Wieschen, Paul-Christian Bürkner
http://arxiv.org/abs/2005.03899v1
• [stat.ML]Compressing Large Sample Data for Discriminant Analysis
Alexander F. Lapanowski, Irina Gaynanova
http://arxiv.org/abs/2005.03858v1
• [stat.ML]In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
Caroline Wang, Bin Han, Bhrij Patel, Feroze Mohideen, Cynthia Rudin
http://arxiv.org/abs/2005.04176v1
• [stat.ML]On Training and Evaluation of Neural Network Approaches for Model Predictive Control
Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
http://arxiv.org/abs/2005.04112v1
• [stat.ML]Spectral Ranking with Covariates
Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic
http://arxiv.org/abs/2005.04035v1
• [stat.ML]The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration
Nanwei Wang, Laurent Briollais, Helene Massam
http://arxiv.org/abs/2005.04139v1