cs.AI - 人工智能
cs.AR - 硬件体系结构 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 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.DM - 离散数学 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 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.FA - 泛函演算 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-fin.CP -计算金融学 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
• [cs.AI]”Other-Play” for Zero-Shot Coordination
• [cs.AI]Can ML predict the solution value for a difficult combinatorial problem?
• [cs.AI]Deep Active Inference for Autonomous Robot Navigation
• [cs.AI]Knowledge graph based methods for record linkage
• [cs.AI]Learning the Designer’s Preferences to Drive Evolution
• [cs.AR]LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations
• [cs.CE]Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning
• [cs.CL]A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
• [cs.CL]A Framework for the Computational Linguistic Analysis of Dehumanization
• [cs.CL]Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System
• [cs.CL]Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
• [cs.CL]EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems
• [cs.CL]Improving Neural Named Entity Recognition with Gazetteers
• [cs.CL]Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
• [cs.CL]Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning
• [cs.CL]On the Role of Conceptualization in Commonsense Knowledge Graph Construction
• [cs.CL]Parsing Thai Social Data: A New Challenge for Thai NLP
• [cs.CL]Practical Annotation Strategies for Question Answering Datasets
• [cs.CL]Quality of Word Embeddings on Sentiment Analysis Tasks
• [cs.CL]S-APIR: News-based Business Sentiment Index
• [cs.CL]Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT
• [cs.CV]A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos
• [cs.CV]Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks
• [cs.CV]Bundle Adjustment on a Graph Processor
• [cs.CV]CNN-based Repetitive self-revised learning for photos’ aesthetics imbalanced classification
• [cs.CV]Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition
• [cs.CV]Captioning Images with Novel Objects via Online Vocabulary Expansion
• [cs.CV]Centrality Graph Convolutional Networks for Skeleton-based Action Recognition
• [cs.CV]Clean-Label Backdoor Attacks on Video Recognition Models
• [cs.CV]D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
• [cs.CV]DA4AD: End-to-end Deep Attention Aware Features Aided Visual Localization for Autonomous Driving
• [cs.CV]DeLTra: Deep Light Transport for Projector-Camera Systems
• [cs.CV]Demographic Bias in Presentation Attack Detection of Iris Recognition Systems
• [cs.CV]Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
• [cs.CV]Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
• [cs.CV]GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition
• [cs.CV]Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer
• [cs.CV]Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
• [cs.CV]Pixel-Level Self-Paced Learning for Super-Resolution
• [cs.CV]Probability Weighted Compact Feature for Domain Adaptive Retrieval
• [cs.CV]Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification
• [cs.CV]Show, Edit and Tell: A Framework for Editing Image Captions
• [cs.CV]Spherical formulation of moving object geometric constraints for monocular fisheye cameras
• [cs.CV]Traffic Signs Detection and Recognition System using Deep Learning
• [cs.CV]When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
• [cs.CY]A Longitudinal Analysis of YouTube’s Promotion of Conspiracy Videos
• [cs.CY]Expected participation and mentality of smart citizen in smart cities
• [cs.DB]Uncovering Hidden Semantics of Set Information in Knowledge Bases
• [cs.DC]A P2P Context Lookup Service for Multiple Smart Spaces
• [cs.DC]Bandwidth-Aware Page Placement in NUMA
• [cs.DC]Communication Optimization Strategies for Distributed Deep Learning: A Survey
• [cs.DC]K set-agreement bounds in round-based models through combinatorial topology
• [cs.DC]The Topology of Local Computing in Networks
• [cs.DM]Reappraising the distribution of the number of edge crossings of graphs on a sphere
• [cs.DS]Exponentially Faster Shortest Paths in the Congested Clique
• [cs.DS]LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew
• [cs.HC]Challenges in Supporting Exploratory Search through Voice Assistants
• [cs.HC]DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation
• [cs.HC]Designing for Employee Voice
• [cs.HC]Toward Adaptive Guidance: Modeling the Variety of User Behaviors in Continuous-Skill-Improving Experiences of Machine Operation Tasks
• [cs.IR]The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
• [cs.IR]Transfer Learning for Information Extraction with Limited Data
• [cs.IT]An analysis of noise folding for low-rank matrix recovery
• [cs.IT]Cell-Free Massive MIMO With Radio Stripes and Sequential Uplink Processing
• [cs.IT]DL-based CSI Feedback and Cooperative Recovery in Massive MIMO
• [cs.IT]Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing
• [cs.IT]Keyless Covert Communication via Channel State Information
• [cs.IT]Multiuser Precoding for Sum-Rate Maximization in Relay-Aid
1000
ed mmWave Communications
• [cs.IT]Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection
• [cs.IT]Weight hierarchies and weight distributions of two families of $p$-ary linear codes
• [cs.LG]Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
• [cs.LG]Directional Message Passing for Molecular Graphs
• [cs.LG]Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
• [cs.LG]Exploiting Verified Neural Networks via Floating Point Numerical Error
• [cs.LG]Federated Continual Learning with Adaptive Parameter Communication
• [cs.LG]Finding online neural update rules by learning to remember
• [cs.LG]Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
• [cs.LG]Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization
• [cs.LG]Learning Complexity of Simulated Annealing
• [cs.LG]Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
• [cs.LG]No Regret Sample Selection with Noisy Labels
• [cs.LG]SimLoss: Class Similarities in Cross Entropy
• [cs.LG]Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification
• [cs.LG]Trends and Advancements in Deep Neural Network Communication
• [cs.LG]Triple Memory Networks: a Brain-Inspired Method for Continual Learning
• [cs.LG]Weight Priors for Learning Identity Relations
• [cs.LG]What is the State of Neural Network Pruning?
• [cs.MS]COMPLEX-IT: A Case-Based Modeling and Scenario Simulation Platform for Social Inquiry
• [cs.NE]Minimal spiking neuron for solving multi-label classification tasks
• [cs.RO]A Set-Theoretic Approach to Multi-Task Execution and Prioritization
• [cs.RO]A flow disturbance estimation and rejection strategy of multirotors with round trip trajectories
• [cs.RO]Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities
• [cs.RO]DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network
• [cs.RO]Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs
• [cs.RO]Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
• [cs.RO]Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot
• [cs.RO]Robotic Assembly across Multiple Contact Stiffnesses with Robust Force Controllers
• [cs.RO]Safe Mission Planning under Dynamical Uncertainties
• [cs.RO]Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr
• [cs.RO]StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method
• [cs.SI]Novel Edge and Density Metrics for Link Cohesion
• [econ.EM]Complete Subset Averaging for Quantile Regressions
• [eess.AS]Defense against adversarial attacks on spoofing countermeasures of ASV
• [eess.AS]Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages
• [eess.IV]Anysize GAN: A solution to the image-warping problem
• [eess.IV]Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity Prior
• [eess.IV]Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
• [eess.IV]Neural networks approach for mammography diagnosis using wavelets features
• [eess.IV]Recovering compressed images for automatic crack segmentation using generative models
• [eess.SP]Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
• [eess.SY]An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness
• [math.FA]Random sampling in weighted reproducing kernel subspaces of $Ld)$
• [math.NA]Straggler Robust Distributed Matrix Inverse Approximation
• [math.OC]Asynchronous and Parallel Distributed Pose Graph Optimization
• [math.OC]Bayesian optimization of variable-size design space problems
• [math.PR]Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation
• [math.ST]A dependent Lindeberg central limit theorem for cluster functionals on stationary random fields
• [math.ST]Exponential increase of test power for Z-test and Chi-square test with auxiliary information
• [physics.soc-ph]Modeling Spontaneous Exit Choices in Intercity Expressway Traffic with Quantum Walk
• [q-fin.CP]Convex Optimization Over Risk-Neutral Probabilities
• [quant-ph]Quantum Adiabatic Theorem Revisited
• [quant-ph]TensorFlow Quantum: A Software Framework for Quantum Machine Learning
• [stat.AP]Bayesian Spatial Homogeneity Pursuit for Survival Data with an Application to the SEER Respiration Cancer
• [stat.AP]Combining social media and survey data to nowcast migrant stocks in the United States
• [stat.AP]Excess deaths and Hurricane María
• [stat.AP]Gene-Environment Interaction: A Variable Selection Perspective
• [stat.AP]Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models
• [stat.ME]A Nearest-Neighbor Based Nonparametric Test for Viral Remodeling in Heterogeneous Single-Cell Proteomic Data
• [stat.ME]Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data
• [stat.ME]Estimation of causal effects with small data under implicit functional constraints
• [stat.ME]Mean absolute deviations about the mean, the cut norm and taxicab correspondence analysis
• [stat.ME]Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures
• [stat.ML]A Bayesian algorithm for retrosynthesis
• [stat.ML]Active Model Estimation in Markov Decision Processes
• [stat.ML]Flexible Bayesian Nonlinear Model Configuration
• [stat.ML]Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations
• [stat.ML]TaskNorm: Rethinking Batch Normalization for Meta-Learning
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• [cs.AI]“Other-Play” for Zero-Shot Coordination
Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob Foerster
http://arxiv.org/abs/2003.02979v1
• [cs.AI]Can ML predict the solution value for a difficult combinatorial problem?
Constantine Goulimis, Gastón Simone
http://arxiv.org/abs/2003.03181v1
• [cs.AI]Deep Active Inference for Autonomous Robot Navigation
Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt
http://arxiv.org/abs/2003.03220v1
• [cs.AI]Knowledge graph based methods for record linkage
B. Gautam, O. Ramos Terrades, J. M. Pujades, M. Valls
http://arxiv.org/abs/2003.03136v1
• [cs.AI]Learning the Designer’s Preferences to Drive Evolution
Alberto Alvarez, Jose Font
http://arxiv.org/abs/2003.03268v1
• [cs.AR]LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations
SeyedRamin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
http://arxiv.org/abs/2003.03043v1
• [cs.CE]Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning
Rui Zhou, Shiji Song, Anke Xue, Keyou You, Hu Wu
http://arxiv.org/abs/2003.03327v1
• [cs.CL]A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote, Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi
http://arxiv.org/abs/2003.03044v1
• [cs.CL]A Framework for the Computational Linguistic Analysis of Dehumanization
Julia Mendelsohn, Yulia Tsvetkov, Dan Jurafsky
http://arxiv.org/abs/2003.03014v1
• [cs.CL]Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System
Seid Muhie Yimam, Gopalakrishnan Venkatesh, John Sie Yuen Lee, Chris Biemann
http://arxiv.org/abs/2003.02955v1
• [cs.CL]Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
Oleksandr Palagin, Vitalii Velychko, Kyrylo Malakhov, Oleksandr Shchurov
http://arxiv.org/abs/2003.03350v1
• [cs.CL]EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems
Rohola Zandie, Mohammad H. Mahoor
http://arxiv.org/abs/2003.02958v1
• [cs.CL]Improving Neural Named Entity Recognition with Gazetteers
Chan Hee Song, Dawn Lawrie, Tim Finin, James Mayfield
http://arxiv.org/abs/2003.03072v1
• [cs.CL]Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
Yu Zhang, Zhenghua Li, Houquan Zhou, Min Zhang
http://arxiv.org/abs/2003.03204v1
• [cs.CL]Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning
Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo
http://arxiv.org/abs/2003.03131v1
• [cs.CL]On the Role of Conceptualization in Commonsense Knowledge Graph Construction
Mutian He, Yangqiu Song, Kun Xu, Yu Dong
http://arxiv.org/abs/2003.03239v1
• [cs.CL]Parsing Thai Social Data: A New Challenge for Thai NLP
Sattaya Singkul, Borirat Khampingyot, Nattasit Maharattamalai, Supawat Taerungruang, Tawunrat Chalothorn
http://arxiv.org/abs/2003.03069v1
• [cs.CL]Practical Annotation Strategies for Question Answering Datasets
Bernhard Kratzwald, Xiang Yue, Huan Sun, Stefan Feuerriegel
http://arxiv.org/abs/2003.03235v1
• [cs.CL]Quality of Word Embeddings on Sentiment Analysis Tasks
Erion Çano, Maurizio Morisio
http://arxiv.org/abs/2003.03264v1
• [cs.CL]S-APIR: News-based Business Sentiment Index
Kazuhiro Seki, Yusuke Ikuta
http://arxiv.org/abs/2003.02973v1
• [cs.CL]Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT
Aitor García-Pablos, Naiara Perez, Montse Cuadros
http://arxiv.org/abs/2003.03106v1
• [cs.CV]A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos
Roberto L. Castro, Diego Andrade, Basilio Fraguela
http://arxiv.org/abs/2003.03271v1
• [cs.CV]Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks
Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob Hinkle, Laura Pullum, Catherine Schuman, Jeremy Renshaw, Stylianos Chatzidakis
http://arxiv.org/abs/2003.03241v1
• [cs.CV]Bundle Adjustment on a Graph Processor
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
http://arxiv.org/abs/2003.03134v1
• [cs.CV]CNN-based Repetitive self-revised learning for photos’ aesthetics imbalanced classification
Ying Dai
http://arxiv.org/abs/2003.03081v1
• [cs.CV]Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition
Yuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2003.03206v1
• [cs.CV]Captioning Images with Novel Objects via Online Vocabulary Expansion
Mikihiro Tanaka, Tatsuya Harada
http://arxiv.org/abs/2003.03305v1
• [cs.CV]Centrality Graph Convolutional Networks for Skeleton-based Action Recognition
Dong Yang, Monica Mengqi Li, Hong Fu, Jicong Fan, Howard Leung
http://arxiv.org/abs/2003.03007v1
• [cs.CV]Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
http://arxiv.org/abs/2003.03030v1
• [cs.CV]D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Xuyang Bai, Zixin Luo, Lei Zhou, Hongbo Fu, Long Quan, Chiew-Lan Tai
http://arxiv.org/abs/2003.03164v1
• [cs.CV]DA4AD: End-to-end Deep Attention Aware Features Aided Visual Localization for Autonomous Driving
Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song
http://arxiv.org/abs/2003.03026v1
• [cs.CV]DeLTra: Deep Light Transport for Projector-Camera Systems
Bingyao Huang, Haibin Ling
http://arxiv.org/abs/2003.03040v1
• [cs.CV]Demographic Bias in Presentation Attack Detection of Iris Recognition Systems
Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
http://arxiv.org/abs/2003.03151v1
• [cs.CV]Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
http://arxiv.org/abs/2003.01279v2
• [cs.CV]Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding
Seong Hyeon Park, Gyubok Lee, Manoj Bhat, Jimin Seo, Minseok Kang, Jonathan Francis, Ashwin R. Jadhav, Paul Pu Liang, Louis-Philippe Morency
http://arxiv.org/abs/2003.03212v1
• [cs.CV]GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition
Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Jianming Zheng
http://arxiv.org/abs/2003.03055v1
• [cs.CV]Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer
Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta
http://arxiv.org/abs/2003.03295v1
• [cs.CV]Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein
http://arxiv.org/abs/2003.03186v1
• [cs.CV]Pixel-Level Self-Paced Learning for Super-Resolution
W. Lin, J. Gao, Q. Wang, X. Li
http://arxiv.org/abs/2003.03113v1
• [cs.CV]Probability Weighted Compact Feature for Domain Adaptive Retrieval
Fuxiang Huang, Lei Zhang, Yang Yang, Xichuan Zhou
http://arxiv.org/abs/2003.03293v1
• [cs.CV]Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification
Priit Ulmas, Innar Liiv
http://arxiv.org/abs/2003.02899v1
• [cs.CV]Show, Edit and Tell: A Framework for Editing Image Captions
Fawaz Sammani, Luke Melas-Kyriazi
http://arxiv.org/abs/2003.03107v1
• [cs.CV]Spherical formulation of moving object geometric constraints for monocular fisheye cameras
Letizia Mariotti, Ciaran Hughes
http://arxiv.org/abs/2003.03262v1
• [cs.CV]Traffic Signs Detection and Recognition System using Deep Learning
Pavly Salah Zaki, Marco Magdy William, Bolis Karam Soliman, Kerolos Gamal Alexsan, Keroles Khalil, Magdy El-Moursy
http://arxiv.org/abs/2003.03256v1
• [cs.CV]When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez, Sergiu Oprea, Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, Robert B. Fisher
http://arxiv.org/abs/2003.03167v1
• [cs.CY]A Longitudinal Analysis of YouTube’s Promotion of Conspiracy Videos
Marc Faddoul, Guillaume Chaslot, Hany Farid
http://arxiv.org/abs/2003.03318v1
• [cs.CY]Expected participation and mentality of smart citizen in smart cities
Katalin Feher
http://arxiv.org/abs/2003.02910v1
• [cs.DB]Uncovering Hidden Semantics of Set Information in Knowledge Bases
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
http://arxiv.org/abs/2003.03155v1
• [cs.DC]A P2P Context Lookup Service for Multiple Smart Spaces
Tao Gu, Hung Keng Pung, Daqing Zhang
http://arxiv.org/abs/2003.03147v1
• [cs.DC]Bandwidth-Aware Page Placement in NUMA
David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quema, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov
http://arxiv.org/abs/2003.03304v1
• [cs.DC]Communication Optimization Strategies for Distributed Deep Learning: A Survey
Shuo Ouyang, Dezun Dong, Yemao Xu, Liquan Xiao
http://arxiv.org/abs/2003.03009v1
• [cs.DC]K set-agreement bounds in round-based models through combinatorial topology
Adam Shimi, Armando Castañeda
http://arxiv.org/abs/2003.02869v1
• [cs.DC]The Topology of Local Computing in Networks
Pierre Fraigniaud, Ami Paz
http://arxiv.org/abs/2003.03255v1
• [cs.DM]Reappraising the distribution of the number of edge crossings of graphs on a sphere
Lluís Alemany-Puig, Mercè Mora, Ramon Ferrer-i-Cancho
http://arxiv.org/abs/2003.03353v1
• [cs.DS]Exponentially Faster Shortest Paths in the Congested Clique
Michal Dory, Merav Parter
http://arxiv.org/abs/2003.03058v1
• [cs.DS]LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew
Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff
http://arxiv.org/abs/2003.02972v1
• [cs.HC]Challenges in Supporting Exploratory Search through Voice Assistants
Xiao Ma, Ariel Liu
http://arxiv.org/abs/2003.02986v1
• [cs.HC]DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation
Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto
http://arxiv.org/abs/2003.03133v1
• [cs.HC]Designing for Employee Voice
Dinislam Abdulgalimov, Reuben Kirkham, James Nicholson, Vasilis Vlachokyriakos, Pam Briggs, Patrick Olivier
http://arxiv.org/abs/2003.02976v1
• [cs.HC]Toward Adaptive Guidance: Modeling the Variety of User Behaviors in Continuous-Skill-Improving Experiences of Machine Operation Tasks
Long-fei Chen, Yuichi Nakamura, Kazuaki Kondo
http://arxiv.org/abs/2003.03025v1
• [cs.IR]The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
Jennifer D’Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth
http://arxiv.org/abs/2003.01006v3
• [cs.IR]Transfer Learning for Information Extraction with Limited Data
Minh-Tien Nguyen, Viet-Anh Phan, Le Thai Linh, Nguyen Hong Son, Le Tien Dung, Miku Hirano, Hajime Hotta
http://arxiv.org/abs/2003.03064v1
• [cs.IT]An analysis of noise folding for low-rank matrix recovery
Jianwen Huang, Jianjun Wang, Feng Zhang, Hailin Wang, Wendong Wang
http://arxiv.org/abs/2003.03180v1
• [cs.IT]Cell-Free Massive MIMO With Radio Stripes and Sequential Uplink Processing
Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson
http://arxiv.org/abs/2003.02940v1
• [cs.IT]DL-based CSI Feedback and Cooperative Recovery in Massive MIMO
Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li
http://arxiv.org/abs/2003.03303v1
• [cs.IT]Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing
Xinrong Guan, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/2003.03105v1
• [cs.IT]Keyless Covert Communication via Channel State Information
Hassan ZivariFard, Matthieu R. Bloch, Aria Nosratinia
http://arxiv.org/abs/2003.03308v1
• [cs.IT]Multiuser Precoding for Sum-Rate Maximization in Relay-Aid
1000
ed mmWave Communications
Ahmet Zahid Yalcin, Yavuz Yapici
http://arxiv.org/abs/2003.03140v1
• [cs.IT]Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection
Hang Liu, Xiaojun Yuan, Ying Jun, Zhang
http://arxiv.org/abs/2003.03041v1
• [cs.IT]Weight hierarchies and weight distributions of two families of $p$-ary linear codes
Fei Li
http://arxiv.org/abs/2003.03048v1
• [cs.LG]Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
http://arxiv.org/abs/2003.03051v1
• [cs.LG]Directional Message Passing for Molecular Graphs
Johannes Klicpera, Janek Groß, Stephan Günnemann
http://arxiv.org/abs/2003.03123v1
• [cs.LG]Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampled Implicit Ensembles
Evgenii Tsymbalov, Kirill Fedyanin, Maxim Panov
http://arxiv.org/abs/2003.03274v1
• [cs.LG]Exploiting Verified Neural Networks via Floating Point Numerical Error
Kai Jia, Martin Rinard
http://arxiv.org/abs/2003.03021v1
• [cs.LG]Federated Continual Learning with Adaptive Parameter Communication
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
http://arxiv.org/abs/2003.03196v1
• [cs.LG]Finding online neural update rules by learning to remember
Karol Gregor
http://arxiv.org/abs/2003.03124v1
• [cs.LG]Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
Aditya Golatkar, Alessandro Achille, Stefano Soatto
http://arxiv.org/abs/2003.02960v1
• [cs.LG]Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization
Patrick Hart, Leonard Rychly, Alois Knol
http://arxiv.org/abs/2003.03168v1
• [cs.LG]Learning Complexity of Simulated Annealing
Avrim Blum, Chen Dan, Saeed Seddighin
http://arxiv.org/abs/2003.02981v1
• [cs.LG]Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng Xiao, Qing Yan, Yali Amit
http://arxiv.org/abs/2003.02977v1
• [cs.LG]No Regret Sample Selection with Noisy Labels
N. Mitsuo, S. Uchida, D. Suehiro
http://arxiv.org/abs/2003.03179v1
• [cs.LG]SimLoss: Class Similarities in Cross Entropy
Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho
http://arxiv.org/abs/2003.03182v1
• [cs.LG]Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification
Rui Zhou
http://arxiv.org/abs/2003.03351v1
• [cs.LG]Trends and Advancements in Deep Neural Network Communication
Felix Sattler, Thomas Wiegand, Wojciech Samek
http://arxiv.org/abs/2003.03320v1
• [cs.LG]Triple Memory Networks: a Brain-Inspired Method for Continual Learning
Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong
http://arxiv.org/abs/2003.03143v1
• [cs.LG]Weight Priors for Learning Identity Relations
Kopparti Radha, Weyde Tillman
http://arxiv.org/abs/2003.03125v1
• [cs.LG]What is the State of Neural Network Pruning?
Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John Guttag
http://arxiv.org/abs/2003.03033v1
• [cs.MS]COMPLEX-IT: A Case-Based Modeling and Scenario Simulation Platform for Social Inquiry
Corey Schimpf, Brian Castellani
http://arxiv.org/abs/2003.03099v1
• [cs.NE]Minimal spiking neuron for solving multi-label classification tasks
Jakub Fil, Dominique Chu
http://arxiv.org/abs/2003.02902v1
• [cs.RO]A Set-Theoretic Approach to Multi-Task Execution and Prioritization
Gennaro Notomista, Siddharth Mayya, Mario Selvaggio, Maria Santos, Cristian Secchi
http://arxiv.org/abs/2003.02968v1
• [cs.RO]A flow disturbance estimation and rejection strategy of multirotors with round trip trajectories
Jaeseung Byun, Simo A. Mäkiharju, Mark W. Mueller
http://arxiv.org/abs/2003.02974v1
• [cs.RO]Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities
Yousef Emam, Siddharth Mayya, Gennaro Notomista, Addison Bohannon, Magnus Egerstedt
http://arxiv.org/abs/2003.03344v1
• [cs.RO]DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network
Mona Gridseth, Timothy D. Barfoot
http://arxiv.org/abs/2003.02946v1
• [cs.RO]Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs
J. J. Hagenaars, F. Paredes-Vallés, S. M. Bohté, G. C. H. E. de Croon
http://arxiv.org/abs/2003.03118v1
• [cs.RO]Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions
Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
http://arxiv.org/abs/2003.02992v1
• [cs.RO]Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot
Napat Karnchanachari, Miguel I. Valls, David Hoeller, Marco Hutter
http://arxiv.org/abs/2003.03200v1
• [cs.RO]Robotic Assembly across Multiple Contact Stiffnesses with Robust Force Controllers
Ying Jun Wilson Lee, Quang-Cuong Pham
http://arxiv.org/abs/2003.03047v1
• [cs.RO]Safe Mission Planning under Dynamical Uncertainties
Yimeng Lu, Maryam Kamgarpour
http://arxiv.org/abs/2003.02913v1
• [cs.RO]Scaling down an insect-size microrobot, HAMR-VI into HAMR-Jr
Kaushik Jayaram, Jennifer Shum, Samantha Castellanos, E. Farrell Helbling, Robert J. Wood
http://arxiv.org/abs/2003.03337v1
• [cs.RO]StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method
Taiping Zeng, Xiaoli Li, Bailu Si
http://arxiv.org/abs/2003.03091v1
• [cs.SI]Novel Edge and Density Metrics for Link Cohesion
Cetin Savkli, Catherine Schwartz, Amanda Galante, Jonathan Cohen
http://arxiv.org/abs/2003.02999v1
• [econ.EM]Complete Subset Averaging for Quantile Regressions
Ji Hyung Lee, Youngki Shin
http://arxiv.org/abs/2003.03299v1
• [eess.AS]Defense against adversarial attacks on spoofing countermeasures of ASV
Haibin Wu, Songxiang Liu, Helen Meng, Hung-yi Lee
http://arxiv.org/abs/2003.03065v1
• [eess.AS]Semi-supervised Development of ASR Systems for Multilingual Code-switched Speech in Under-resourced Languages
Astik Biswas, Emre Yılmaz, Febe de Wet, Ewald van der Westhuizen, Thomas Niesler
http://arxiv.org/abs/2003.03135v1
• [eess.IV]Anysize GAN: A solution to the image-warping problem
Connah Kendrick, David Gillespie, Moi Hoon Yap
http://arxiv.org/abs/2003.03233v1
• [eess.IV]Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity Prior
Markus D. Foote, Philip E. Dennison, Andrew K. Thorpe, David R. Thompson, Siraput Jongaramrungruang, Christian Frankenberg, Sarang C. Joshi
http://arxiv.org/abs/2003.02978v1
• [eess.IV]Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
Jevgenij Gamper, Brandon Chan, Yee Wah Tsang, David Snead, Nasir Rajpoot
http://arxiv.org/abs/2003.03109v1
• [eess.IV]Neural networks approach for mammography diagnosis using wavelets features
Essam A. Rashed, and Mohamed G. Awad
http://arxiv.org/abs/2003.03000v1
• [eess.IV]Recovering compressed images for automatic crack segmentation using generative models
Yong Huang, Haoyu Zhang, Hui Li, Stephen Wu
http://arxiv.org/abs/2003.03028v1
• [eess.SP]Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen
http://arxiv.org/abs/2003.03315v1
• [eess.SY]An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness
Mihaela Dimovska, Donatello Materassi
http://arxiv.org/abs/2003.02870v1
• [math.FA]Random sampling in weighted reproducing kernel subspaces of $Ld)$
Yingchun Jiang, Wan Li
http://arxiv.org/abs/2003.02993v1
• [math.NA]Straggler Robust Distributed Matrix Inverse Approximation
Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III
http://arxiv.org/abs/2003.02948v1
• [math.OC]Asynchronous and Parallel Distributed Pose Graph Optimization
Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How
http://arxiv.org/abs/2003.03281v1
• [math.OC]Bayesian optimization of variable-size design space problems
Julien Pelamatti, Loic Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin
http://arxiv.org/abs/2003.03300v1
• [math.PR]Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation
Oliver G. Ernst, Alois Pichler, Björn Sprungk
http://arxiv.org/abs/2003.03129v1
• [math.ST]A dependent Lindeberg central limit theorem for cluster functionals on stationary random fields
José G. Gómez-García
http://arxiv.org/abs/2003.03280v1
• [math.ST]Exponential increase of test power for Z-test and Chi-square test with auxiliary information
Mickael Albertus
http://arxiv.org/abs/2003.02941v1
• [physics.soc-ph]Modeling Spontaneous Exit Choices in Intercity Expressway Traffic with Quantum Walk
Zhaoyuan Yu, Xinxin Zhou, Xu Hu, Wen Luo, Linwang Yuan, A-Xing Zhu
http://arxiv.org/abs/2003.03032v1
• [q-fin.CP]Convex Optimization Over Risk-Neutral Probabilities
Shane Barratt, Jonathan Tuck, Stephen Boyd
http://arxiv.org/abs/2003.02878v1
• [quant-ph]Quantum Adiabatic Theorem Revisited
Runyao Duan
http://arxiv.org/abs/2003.03063v1
• [quant-ph]TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
http://arxiv.org/abs/2003.02989v1
• [stat.AP]Bayesian Spatial Homogeneity Pursuit for Survival Data with an Application to the SEER Respiration Cancer
Lijiang Geng, Guanyu Hu
http://arxiv.org/abs/2003.03006v1
• [stat.AP]Combining social media and survey data to nowcast migrant stocks in the United States
Monica Alexander, Kivan Polimis, Emilio Zagheni
http://arxiv.org/abs/2003.02895v1
• [stat.AP]Excess deaths and Hurricane María
Michael Spagat, Stijn van Weezel
http://arxiv.org/abs/2003.03183v1
• [stat.AP]Gene-Environment Interaction: A Variable Selection Perspective
Fei Zhou, Jie Ren, Xi Lu, Shuangge Ma, Cen Wu
http://arxiv.org/abs/2003.02930v1
• [stat.AP]Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models
Katsuhiro Iba, Tomohiro Shinozaki, Kazushi Maruo, Hisashi Noma
http://arxiv.org/abs/2003.03004v1
• [stat.ME]A Nearest-Neighbor Based Nonparametric Test for Viral Remodeling in Heterogeneous Single-Cell Proteomic Data
Trambak Banerjee, Bhaswar B. Bhattacharya, Gourab Mukherjee
http://arxiv.org/abs/2003.02937v1
• [stat.ME]Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data
Jiabei Yang, Issa J. Dahabreh, Jon A. Steingrimsson
http://arxiv.org/abs/2003.03042v1
• [stat.ME]Estimation of causal effects with small data under implicit functional constraints
Jouni Helske, Santtu Tikka, Juha Karvanen
http://arxiv.org/abs/2003.03187v1
• [stat.ME]Mean absolute deviations about the mean, the cut norm and taxicab correspondence analysis
Choulakian Vartan, Abou Samra Ghassan
http://arxiv.org/abs/2003.02906v1
• [stat.ME]Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures
Brian G. Vegetabile, Beth Ann Griffin, Donna L. Coffman, Matthew Cefalu, Daniel F. McCaffrey
http://arxiv.org/abs/2003.02938v1
• [stat.ML]A Bayesian algorithm for retrosynthesis
Zhongliang Guo, Stephen Wu, Mitsuru Ohno, Ryo Yoshida
http://arxiv.org/abs/2003.03190v1
• [stat.ML]Active Model Estimation in Markov Decision Processes
Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
http://arxiv.org/abs/2003.03297v1
• [stat.ML]Flexible Bayesian Nonlinear Model Configuration
Aliaksandr Hubin, Geir Storvik, Florian Frommlet
http://arxiv.org/abs/2003.02929v1
• [stat.ML]Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations
Simone Rossi, Markus Heinonen, Edwin Bonilla, Zheyang Shen, Maurizio Filippone
http://arxiv.org/abs/2003.03080v1
• [stat.ML]TaskNorm: Rethinking Batch Normalization for Meta-Learning
John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
http://arxiv.org/abs/2003.03284v1
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