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.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 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]Layerwise Knowledge Extraction from Deep Convolutional Networks
• [cs.AI]Tactic Learning and Proving for the Coq Proof Assistant
• [cs.CL]FedNER: Medical Named Entity Recognition with Federated Learning
• [cs.CL]Language Technology Programme for Icelandic 2019-2023
• [cs.CL]NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi
• [cs.CL]Parallel Intent and Slot Prediction using MLB Fusion
• [cs.CL]TNT-KID: Transformer-based Neural Tagger for Keyword Identification
• [cs.CL]Techniques for Vocabulary Expansion in Hybrid Speech Recognition Systems
• [cs.CR]Detection of Information Hiding at Anti-Copying 2D Barcodes
• [cs.CV]3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
• [cs.CV]A Graduated Filter Method for Large Scale Robust Estimation
• [cs.CV]Affinity Graph Supervision for Visual Recognition
• [cs.CV]CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
• [cs.CV]Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation
• [cs.CV]Cross-Shape Graph Convolutional Networks
• [cs.CV]DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
• [cs.CV]Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
• [cs.CV]Detection in Crowded Scenes: One Proposal, Multiple Predictions
• [cs.CV]Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
• [cs.CV]Dual-discriminator GAN: A GAN way of profile face recognition
• [cs.CV]Event-based Asynchronous Sparse Convolutional Networks
• [cs.CV]Explainable Object-induced Action Decision for Autonomous Vehicles
• [cs.CV]Exploring Categorical Regularization for Domain Adaptive Object Detection
• [cs.CV]FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
• [cs.CV]Fully Automated Hand Hygiene Monitoring\in Operating Room using 3D Convolutional Neural Network
• [cs.CV]How to Train Your Event Camera Neural Network
• [cs.CV]LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units
• [cs.CV]Masked Face Recognition Dataset and Application
• [cs.CV]Multilayer Dense Connections for Hierarchical Concept Classification
• [cs.CV]Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
• [cs.CV]Privileged Pooling: Supervised attention-based pooling for compensating dataset bias
• [cs.CV]SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
• [cs.CV]Selecting Relevant Features from a Universal Representation for Few-shot Classification
• [cs.CV]Semi-Supervised Semantic Segmentation with Cross-Consistency Training
• [cs.CV]Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
• [cs.CV]Superaccurate Camera Calibration via Inverse Rendering
• [cs.CV]Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)
• [cs.CV]Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
• [cs.CY]An Open Model for Researching the Role of Culture in Online Self-Disclosure
• [cs.CY]Dis-Empowerment Online: An Investigation of Privacy-Sharing Perceptions & Method Preferences
• [cs.DB]A Migratory Near Memory Processing Architecture Applied to Big Data Problems
• [cs.DC]GraphChallenge.org Triangle Counting Performance
• [cs.DL]Mathematical Formulae in Wikimedia Projects 2020
• [cs.DS]Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers
• [cs.GT]Blockchain Governance: An Overview and Prediction of Optimal Strategies using Nash Equilibrium
• [cs.IR]A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
• [cs.IT]A Blind Signal Separation Algorithm for Energy Detection of Dynamic PU Signals
• [cs.IT]An Efficiently Generated Family of Binary de Bruijn Sequences
• [cs.IT]Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes
• [cs.IT]Millimeter Wave Communications With Reconfigurable Intelligent Surface: Performance Analysis and Optimization
• [cs.IT]The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator
• [cs.IT]Uncoordinated Grant-Free Radio Access via Diversity for Critical and Non-Critical IoT Services
• [cs.LG]Automatic Identification of Types of Alterations in Historical Manuscripts
• [cs.LG]Deep Reinforcement Learning with Weighted Q-Learning
• [cs.LG]Exchangeable Input Representations for Reinforcement Learning
• [cs.LG]Few-Shot Learning with Geometric Constraints
• [cs.LG]Generating new concepts with hybrid neuro-symbolic models
• [cs.LG]Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
• [cs.LG]Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving
• [cs.LG]Inverse Problems, Deep Learning, and Symmetry Breaking
• [cs.LG]Learning to simulate and design for structural engineering
• [cs.LG]One Neuron to Fool Them All
• [cs.LG]Online Continual Learning on Sequences
• [cs.LG]Sample Complexity Result for Multi-category Classifiers of Bounded Variation
• [cs.LG]The value of text for small business default prediction: A deep learning approach
• [cs.LG]Unsupervised Latent Space Translation Network
• [cs.LO]Ordered Functional Decision Diagrams
• [cs.MA]Redistribution Systems and PRAM
• [cs.NE]Comments on Sejnowski’s “The unreasonable effectiveness of deep learning in artificial intelligence” [arXiv:2002.04806]
• [cs.NE]Evolutionary Multi-Objective Optimization Framework for Mining Association Rules
• [cs.PL]TF-Coder: Program Synthesis for Tensor Manipulations
• [cs.RO]A Dexterous Tip-extending Robot with Variable-length Shape-locking
• [cs.RO]Design and Experiments with LoCO AUV: A Low Cost Open-Source Autonomous Underwater Vehicle
• [cs.RO]Hybrid aerial ground locomotion with a single passive wheel
• [cs.RO]L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
• [cs.RO]Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
• [cs.RO]Learning-based Bias Correction for Ultra-wideband Localization of Resource-constrained Mobile Robots
• [cs.RO]LoCoQuad: A Low-Cost Arachnoid Quadruped Robot for Research and Education
• [cs.RO]Modelling and Learning Dynamics for Robotic Food-Cutting
• [cs.RO]Probabilistic Visual Navigation with Bidirectional Image Prediction
• [cs.RO]Robust Plan Execution with Unexpected Observations
• [cs.RO]Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot
• [cs.RO]Visual Navigation Among Humans with Optimal Control as a Supervisor
• [cs.RO]VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
• [cs.SD]Exploring Inherent Properties of the Monophonic Melody of Songs
• [cs.SD]On the performance of different excitation-residual blocks for Acoustic Scene Classification
• [eess.AS]Detecting Mismatch between Text Script and Voice-over Using Utterance Verification Based on Phoneme Recognition Ranking
• [eess.AS]Improving Embedding Extraction for Speaker Verification with Ladder Network
• [eess.IV]Across-scale Process Similarity based Interpolation for Image Super-Resolution
• [eess.IV]DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
• [eess.IV]Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation
• [eess.IV]Efficient algorithm for calculating transposed PSF matrices for 3D light field deconvolution
• [eess.IV]Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning
• [eess.IV]Kidney segmentation using 3D U-Net localized with Expectation Maximization
• [eess.IV]Learning the Loss Functions in a Discriminative Space for Video Restoration
• [eess.IV]Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning
• [eess.IV]RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-up
• [eess.IV]U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
• [eess.IV]Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
• [eess.SP]Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
• [eess.SP]Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems
• [math.NA]Bayesian approach to inverse scattering with topological priors
• [math.OC]An Inexact Manifold Augmented Lagrangian Method for Adaptive Sparse Canonical Correlation Analysis with Trace Lasso Regularization
• [math.PR]Non-asymptotic control of the cumulative distribution function of Lévy processes
• [math.PR]Statistical Indicators of the Scientific Publications Importance: a Stochastic Model and Critical Look
• [math.ST]Estimations by stable motions and applications
• [math.ST]Homeostasis phenomenon in predictive inference when using a wrong learning model: a tale of random split of data into training and test sets
• [math.ST]Posterior contraction rates for non-parametric state and drift estimation
• [math.ST]Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
• [math.ST]The stopped clock model
• [quant-ph]Quantum noise protects quantum classifiers against adversaries
• [stat.AP]Analysing the causal effect of London cycle superhighways on traffic congestion
• [stat.AP]Quantifying the under-reporting of genital warts cases
• [stat.AP]Systematic statistical analysis of microbial data from dilution series
• [stat.ME]Kernel density decomposition with an application to the social cost of carbon
• [stat.ME]New statistical model for misreported data with application to current public health challenges
• [stat.ME]Weighted Cox regression for the prediction of heterogeneous patient subgroups
• [stat.ML]A unified framework for spectral clustering in sparse graphs
• [stat.ML]Localized sketching for matrix multiplication and ridge regression
• [stat.ML]Sequential Bayesian Experimental Design for Implicit Models via Mutual Information
·····································
• [cs.AI]Layerwise Knowledge Extraction from Deep Convolutional Networks
Simon Odense, Artur d’Avila Garcez
http://arxiv.org/abs/2003.09000v1
• [cs.AI]Tactic Learning and Proving for the Coq Proof Assistant
Lasse Blaauwbroek, Josef Urban, Herman Geuvers
http://arxiv.org/abs/2003.09140v1
• [cs.CL]FedNER: Medical Named Entity Recognition with Federated Learning
Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie
http://arxiv.org/abs/2003.09288v1
• [cs.CL]Language Technology Programme for Icelandic 2019-2023
Anna Björk Nikulásdóttir, Jón Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eiríkur Rögnvaldsson, Einar Freyr Sigurðsson, Steinþór Steingrímsson
http://arxiv.org/abs/2003.09244v1
• [cs.CL]NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi
Nasrin Taghizadeh, Zeinab Borhanifard, Melika GolestaniPour, Heshaam Faili
http://arxiv.org/abs/2003.09029v1
• [cs.CL]Parallel Intent and Slot Prediction using MLB Fusion
Anmol Bhasin, Bharatram Natarajan, Gaurav Mathur, Himanshu Mangla
http://arxiv.org/abs/2003.09211v1
• [cs.CL]TNT-KID: Transformer-based Neural Tagger for Keyword Identification
Matej Martinc, Blaž Škrlj, Senja Pollak
http://arxiv.org/abs/2003.09166v1
• [cs.CL]Techniques for Vocabulary Expansion in Hybrid Speech Recognition Systems
Nikolay Malkovsky, Vladimir Bataev, Dmitrii Sviridkin, Natalia Kizhaeva, Aleksandr Laptev, Ildar Valiev, Oleg Petrov
http://arxiv.org/abs/2003.09024v1
• [cs.CR]Detection of Information Hiding at Anti-Copying 2D Barcodes
Ning Xie, Ji Hu, Junjie Chen, Qiqi Zhang, Changsheng Chen
http://arxiv.org/abs/2003.09316v1
• [cs.CV]3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
Rui Xiang, Feng Zheng, Huapeng Su, Zhe Zhang
http://arxiv.org/abs/2003.09175v1
• [cs.CV]A Graduated Filter Method for Large Scale Robust Estimation
Huu Le, Christopher Zach
http://arxiv.org/abs/2003.09080v1
• [cs.CV]Affinity Graph Supervision for Visual Recognition
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
http://arxiv.org/abs/2003.09049v1
• [cs.CV]CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren, Chen Qian
http://arxiv.org/abs/2003.09119v1
• [cs.CV]Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation
Yansong Tang, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/2003.09392v1
• [cs.CV]Cross-Shape Graph Convolutional Networks
Dmitry Petrov, Evangelos Kalogerakis
http://arxiv.org/abs/2003.09053v1
• [cs.CV]DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim
http://arxiv.org/abs/2003.09171v1
• [cs.CV]Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
http://arxiv.org/abs/2003.09088v1
• [cs.CV]Detection in Crowded Scenes: One Proposal, Multiple Predictions
Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, Jian Sun
http://arxiv.org/abs/2003.09163v1
• [cs.CV]Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Lei Tian, Yongqiang Tang, Liangchen Hu, Zhida Ren, Wensheng Zhang
http://arxiv.org/abs/2003.09391v1
• [cs.CV]Dual-discriminator GAN: A GAN way of profile face recognition
Xinyu Zhang, Yang Zhao, Hao Zhang
http://arxiv.org/abs/2003.09116v1
• [cs.CV]Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza
http://arxiv.org/abs/2003.09148v1
• [cs.CV]Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos
http://arxiv.org/abs/2003.09405v1
• [cs.CV]Exploring Categorical Regularization for Domain Adaptive Object Detection
Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei
http://arxiv.org/abs/2003.09152v1
• [cs.CV]FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
http://arxiv.org/abs/2003.09108v1
• [cs.CV]Fully Automated Hand Hygiene Monitoring\in Operating Room using 3D Convolutional Neural Network
Minjee Kim, Joonmyeong Choi, Namkug Kim
http://arxiv.org/abs/2003.09087v1
• [cs.CV]How to Train Your Event Camera Neural Network
Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony
http://arxiv.org/abs/2003.09078v1
• [cs.CV]LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units
Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng
http://arxiv.org/abs/2003.08646v2
• [cs.CV]Masked Face Recognition Dataset and Application
Zhongyuan Wang, Guangcheng Wang, Baojin Huang, Zhangyang Xiong, Qi Hong, Hao Wu, Peng Yi, Kui Jiang, Nanxi Wang, Yingjiao Pei, Heling Chen, Yu Miao, Zhibing Huang, Jinbi Liang
http://arxiv.org/abs/2003.09093v1
• [cs.CV]Multilayer Dense Connections for Hierarchical Concept Classification
Toufiq Parag, Hongcheng Wang
http://arxiv.org/abs/2003.09015v1
• [cs.CV]Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu
http://arxiv.org/abs/2003.09365v1
• [cs.CV]Privileged Pooling: Supervised attention-based pooling for compensating dataset bias
Andres C. Rodriguez, Stefano D’Aronco, Jan Dirk Wegner, Konrad Schindler
http://arxiv.org/abs/2003.09168v1
• [cs.CV]SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
http://arxiv.org/abs/2003.09373v1
• [cs.CV]Selecting Relevant Features from a Universal Representation for Few-shot Classification
Nikita Dvornik, Cordelia Schmid, Julien Mairal
http://arxiv.org/abs/2003.09338v1
• [cs.CV]Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali, Céline Hudelot, Myriam Tami
http://arxiv.org/abs/2003.09005v1
• [cs.CV]Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao
http://arxiv.org/abs/2003.09085v1
• [cs.CV]Superaccurate Camera Calibration via Inverse Rendering
Morten Hannemose, Jakob Wilm, Jeppe Revall Frisvad
http://arxiv.org/abs/2003.09177v1
• [cs.CV]Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)
Fan Zhang, Guisheng Zhai, Meng Li, Yizhao Liu
http://arxiv.org/abs/2003.09150v1
• [cs.CV]Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz
http://arxiv.org/abs/2003.09282v1
• [cs.CY]An Open Model for Researching the Role of Culture in Online Self-Disclosure
Christine Bauer, Katharina Sophie Schmid, Christine Strauss
http://arxiv.org/abs/2003.08942v1
• [cs.CY]Dis-Empowerment Online: An Investigation of Privacy-Sharing Perceptions & Method Preferences
Kovila P. L. Coopamootoo
http://arxiv.org/abs/2003.08990v1
• [cs.DB]A Migratory Near Memory Processing Architecture Applied to Big Data Problems
Ed T. Upchurch
http://arxiv.org/abs/2003.09074v1
• [cs.DC]GraphChallenge.org Triangle Counting Performance
Siddharth Samsi, Jeremy Kepner, Vijay Gadepally, Michael Hurley, Michael Jones, Edward Kao, Sanjeev Mohindra, Albert Reuther, Steven Smith, William Song, Diane Staheli, Paul Monticciolo
http://arxiv.org/abs/2003.09269v1
• [cs.DL]Mathematical Formulae in Wikimedia Projects 2020
Moritz Schubotz, André Greiner-Petter, Norman Meuschke, Olaf Teschke, Bela Gipp
http://arxiv.org/abs/2003.09417v1
• [cs.DS]Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers
Dan Alistarh, Giorgi Nadiradze, Nikita Koval
http://arxiv.org/abs/2003.09363v1
• [cs.GT]Blockchain Governance: An Overview and Prediction of Optimal Strategies using Nash Equilibrium
Nida Khan, Tabrez Ahmad, Anass Patel, Radu State
http://arxiv.org/abs/2003.09241v1
• [cs.IR]A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie
http://arxiv.org/abs/2003.09086v1
• [cs.IT]A Blind Signal Separation Algorithm for Energy Detection of Dynamic PU Signals
Jakub Nikonowicz, Aamir Mahmood, Mikael Gidlund
http://arxiv.org/abs/2003.09057v1
• [cs.IT]An Efficiently Generated Family of Binary de Bruijn Sequences
Yunlong Zhu, Zuling Chang, Martianus Frederic Ezerman, Qiang Wang
http://arxiv.org/abs/2003.09095v1
• [cs.IT]Heterogeneous Millimeter Wave Wireless Power Transfer With Poisson Cluster Processes
Fangzhou Yu, Chao Zhang
http://arxiv.org/abs/2003.09034v1
• [cs.IT]Millimeter Wave Communications With Reconfigurable Intelligent Surface: Performance Analysis and Optimization
Hongyang Du, Jiayi Zhang, Julian Cheng, Zhaohu Lu, Bo Ai
http://arxiv.org/abs/2003.09090v1
• [cs.IT]The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator
Alex Dytso, Michael Fauss, H. Vincent Poor
http://arxiv.org/abs/2003.08967v1
• [cs.IT]Uncoordinated Grant-Free Radio Access via Diversity for Critical and Non-Critical IoT Services
Rahif Kassab, Andrea Munari, Federico Clazzer, Osvaldo Simeone
http://arxiv.org/abs/2003.09257v1
• [cs.LG]Automatic Identification of Types of Alterations in Historical Manuscripts
David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima
http://arxiv.org/abs/2003.09136v1
• [cs.LG]Deep Reinforcement Learning with Weighted Q-Learning
Andrea Cini, Carlo D’Eramo, Jan Peters, Cesare Alippi
http://arxiv.org/abs/2003.09280v1
• [cs.LG]Exchangeable Input Representations for Reinforcement Learning
John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
http://arxiv.org/abs/2003.09022v1
• [cs.LG]Few-Shot Learning with Geometric Constraints
Hong-Gyu Jung, Seong-Whan Lee
http://arxiv.org/abs/2003.09151v1
• [cs.LG]Generating new concepts with hybrid neuro-symbolic models
Reuben Feinman, Brenden M. Lake
http://arxiv.org/abs/2003.08978v1
• [cs.LG]Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time
Rafael T. Sousa, Lucas A. Pereira, Anderson S. Soares
http://arxiv.org/abs/2003.09291v1
• [cs.LG]Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving
Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker
http://arxiv.org/abs/2003.09398v1
• [cs.LG]Inverse Problems, Deep Learning, and Symmetry Breaking
Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
http://arxiv.org/abs/2003.09077v1
• [cs.LG]Learning to simulate and design for structural engineering
Kai-Hung Chang, Chin-Yi Cheng
http://arxiv.org/abs/2003.09103v1
• [cs.LG]One Neuron to Fool Them All
Anshuman Suri, David Evans
http://arxiv.org/abs/2003.09372v1
• [cs.LG]Online Continual Learning on Sequences
German I. Parisi, Vincenzo Lomonaco
http://arxiv.org/abs/2003.09114v1
• [cs.LG]Sample Complexity Result for Multi-category Classifiers of Bounded Variation
Khadija Musayeva
http://arxiv.org/abs/2003.09176v1
• [cs.LG]The value of text for small business default prediction: A deep learning approach
Matthew Stevenson, Christophe Mues, Cristián Bravo
http://arxiv.org/abs/2003.08964v1
• [cs.LG]Unsupervised Latent Space Translation Network
Magda Friedjungová, Daniel Vašata, Tomáš Chobola, Marcel Jiřina
http://arxiv.org/abs/2003.09149v1
• [cs.LO]Ordered Functional Decision Diagrams
Joan Thibault, Khalil Ghorbal
http://arxiv.org/abs/2003.09340v1
• [cs.MA]Redistribution Systems and PRAM
Paul Cohen, Tomasz Loboda
http://arxiv.org/abs/2003.08783v2
• [cs.NE]Comments on Sejnowski’s “The unreasonable effectiveness of deep learning in artificial intelligence” [arXiv:2002.04806]**
Leslie S. Smith
http://arxiv.org/abs/2003.09415v1
• [cs.NE]Evolutionary Multi-Objective Optimization Framework for Mining Association Rules
Shaik Tanveer Ul Huq, Vadlamani Ravi
http://arxiv.org/abs/2003.09158v1
• [cs.PL]TF-Coder: Program Synthesis for Tensor Manipulations
Kensen Shi, David Bieber, Rishabh Singh
http://arxiv.org/abs/2003.09040v1
• [cs.RO]A Dexterous Tip-extending Robot with Variable-length Shape-locking
Sicheng Wang, Ruotong Zhang, David A. Haggerty, Nicholas D. Naclerio, Elliot W. Hawkes
http://arxiv.org/abs/2003.09113v1
• [cs.RO]Design and Experiments with LoCO AUV: A Low Cost Open-Source Autonomous Underwater Vehicle
Chelsey Edge, Sadman Sakib Enan, Michael Fulton, Jungseok Hong, Jiawei Mo, Kimberly Barthelemy, Hunter Bashaw, Berik Kallevig, Corey Knutson, Kevin Orpen, Junaed Sattar
http://arxiv.org/abs/2003.09041v1
• [cs.RO]Hybrid aerial ground locomotion with a single passive wheel
Youming Qin, Yihang Li, Xu Wei, Fu Zhang
http://arxiv.org/abs/2003.09242v1
• [cs.RO]L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
Mai Nishimura, Ryo Yonetani
http://arxiv.org/abs/2003.09207v1
• [cs.RO]Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic
http://arxiv.org/abs/2003.08974v1
• [cs.RO]Learning-based Bias Correction for Ultra-wideband Localization of Resource-constrained Mobile Robots
Wenda Zhao, Abhishek Goudar, Jacopo Panerati, Angela P. Schoellig
http://arxiv.org/abs/2003.09371v1
• [cs.RO]LoCoQuad: A Low-Cost Arachnoid Quadruped Robot for Research and Education
Manuel Bernal, Javier Civera
http://arxiv.org/abs/2003.09025v1
• [cs.RO]Modelling and Learning Dynamics for Robotic Food-Cutting
Ioanna Mitsioni, Yiannis Karayiannidis, Danica Kragic
http://arxiv.org/abs/2003.09179v1
• [cs.RO]Probabilistic Visual Navigation with Bidirectional Image Prediction
Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martin-Martin, Yasumasa Tahara, Masanori Ishigaki, Silvio Savarese
http://arxiv.org/abs/2003.09224v1
• [cs.RO]Robust Plan Execution with Unexpected Observations
Oscar Lima, Michael Cashmore, Daniele Magazzeni, Andrea Micheli, Rodrigo Ventura
http://arxiv.org/abs/2003.09401v1
• [cs.RO]Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot
Gabriel Urbain, Victor Barasuol, Claudio Semini, Joni Dambre, Francis wyffels
http://arxiv.org/abs/2003.09327v1
• [cs.RO]Visual Navigation Among Humans with Optimal Control as a Supervisor
Varun Tolani, Somil Bansal, Aleksandra Faust, Claire Tomlin
http://arxiv.org/abs/2003.09354v1
• [cs.RO]VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
http://arxiv.org/abs/2003.09044v1
• [cs.SD]Exploring Inherent Properties of the Monophonic Melody of Songs
Zehao Wang, Shicheng Zhang, Xiaoou Chen
http://arxiv.org/abs/2003.09287v1
• [cs.SD]On the performance of different excitation-residual blocks for Acoustic Scene Classification
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Maximo Cobos
http://arxiv.org/abs/2003.09284v1
• [eess.AS]Detecting Mismatch between Text Script and Voice-over Using Utterance Verification Based on Phoneme Recognition Ranking
Yoonjae Jeong, Hoon-Young Cho
http://arxiv.org/abs/2003.09180v1
• [eess.AS]Improving Embedding Extraction for Speaker Verification with Ladder Network
Fei Tao, Gokhan Tur
http://arxiv.org/abs/2003.09125v1
• [eess.IV]Across-scale Process Similarity based Interpolation for Image Super-Resolution
Sobhan Kanti Dhara, Debashis Sen
http://arxiv.org/abs/2003.09182v1
• [eess.IV]DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
http://arxiv.org/abs/2003.09210v1
• [eess.IV]Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation
Misgina Tsighe Hagos
http://arxiv.org/abs/2003.09208v1
• [eess.IV]Efficient algorithm for calculating transposed PSF matrices for 3D light field deconvolution
Martin Eberhart
http://arxiv.org/abs/2003.09133v1
• [eess.IV]Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning
Nikan K. Namiri, Io Flament, Bruno Astuto, Rutwik Shah, Radhika Tibrewala, Francesco Caliva, Thomas M. Link, Valentina Pedoia, Sharmila Majumdar
http://arxiv.org/abs/2003.09089v1
• [eess.IV]Kidney segmentation using 3D U-Net localized with Expectation Maximization
Omid Bazgir, Kai Barck, Richard A. D. Carano, Robby M. Weimer, Luke Xie
http://arxiv.org/abs/2003.09075v1
• [eess.IV]Learning the Loss Functions in a Discriminative Space for Video Restoration
Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim
http://arxiv.org/abs/2003.09124v1
• [eess.IV]Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning
Julian Lo, Morgan Heisler, Vinicius Vanzan, Sonja Karst, Ivana Zadro Matovinovic, Sven Loncaric, Eduardo V. Navajas, Mirza Faisal Beg, Marinko V. Sarunic
http://arxiv.org/abs/2003.09033v1
• [eess.IV]RGB-Topography and X-rays Image Registration for Idiopathic Scoliosis Children Patient Follow-up
Insaf Setitra, Noureddine Aouaa, Abdelkrim Meziane, Afef Benrabia, Houria Kaced, Hanene Belabassi, Sara Ait Ziane, Nadia Henda Zenati, Oualid Djekkoune
http://arxiv.org/abs/2003.09404v1
• [eess.IV]U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation
Nikhil Varma Keetha, Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu
http://arxiv.org/abs/2003.09293v1
• [eess.IV]Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, JingChao Wang, XiaoHong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir
http://arxiv.org/abs/2003.09070v1
• [eess.SP]Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor
http://arxiv.org/abs/2003.09375v1
• [eess.SP]Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems
Mehran Soltani, Vahid Pourahmadi, Hamid Sheikhzadeh
http://arxiv.org/abs/2003.08980v1
• [math.NA]Bayesian approach to inverse scattering with topological priors
Ana Carpio, Sergei Iakunin, Georg Stadler
http://arxiv.org/abs/2003.09318v1
• [math.OC]An Inexact Manifold Augmented Lagrangian Method for Adaptive Sparse Canonical Correlation Analysis with Trace Lasso Regularization
Kangkang Deng, Zheng Peng
http://arxiv.org/abs/2003.09195v1
• [math.PR]Non-asymptotic control of the cumulative distribution function of Lévy processes
Céline Duval, Ester Mariucci
http://arxiv.org/abs/2003.09281v1
• [math.PR]Statistical Indicators of the Scientific Publications Importance: a Stochastic Model and Critical Look
Lev Klebanov, Yulia Kuvaeva, Zeev Volkovich
http://arxiv.org/abs/2003.08991v1
• [math.ST]Estimations by stable motions and applications
Anirban Das, Manfred Denker, Anna Levina, Lucia Tabacu
http://arxiv.org/abs/2003.09389v1
• [math.ST]Homeostasis phenomenon in predictive inference when using a wrong learning model: a tale of random split of data into training and test sets
Min-ge Xie, Zheshi Zheng
http://arxiv.org/abs/2003.08989v1
• [math.ST]Posterior contraction rates for non-parametric state and drift estimation
Sebastian Reich, Paul Rozdeba
http://arxiv.org/abs/2003.09219v1
• [math.ST]Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Yanglei Song, Xiaohui Chen, Kengo Kato
http://arxiv.org/abs/2003.09091v1
• [math.ST]The stopped clock model
Helena Ferreira, Marta Ferreira
http://arxiv.org/abs/2003.09126v1
• [quant-ph]Quantum noise protects quantum classifiers against adversaries
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao, Nana Liu
http://arxiv.org/abs/2003.09416v1
• [stat.AP]Analysing the causal effect of London cycle superhighways on traffic congestion
Prajamitra Bhuyan, Emma J. McCoy, Haojie Li, Daniel J. Graham
http://arxiv.org/abs/2003.08993v1
• [stat.AP]Quantifying the under-reporting of genital warts cases
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña, Pedro Puig, Laura Monfil, Maria Brotons, Mireia Diaz
http://arxiv.org/abs/2003.09213v1
• [stat.AP]Systematic statistical analysis of microbial data from dilution series
J Andrés Christen, Al Parker
http://arxiv.org/abs/2003.09039v1
• [stat.ME]Kernel density decomposition with an application to the social cost of carbon
Richard S. J. Tol
http://arxiv.org/abs/2003.09276v1
• [stat.ME]New statistical model for misreported data with application to current public health challenges
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña, Pedro Puig
http://arxiv.org/abs/2003.09202v1
• [stat.ME]Weighted Cox regression for the prediction of heterogeneous patient subgroups
Katrin Madjar, Jörg Rahnenführer
http://arxiv.org/abs/2003.08965v1
• [stat.ML]A unified framework for spectral clustering in sparse graphs
Lorenzo Dall’Amico, Romain Couillet, Nicolas Tremblay
http://arxiv.org/abs/2003.09198v1
• [stat.ML]Localized sketching for matrix multiplication and ridge regression
Rakshith S Srinivasa, Mark A Davenport, Justin Romberg
http://arxiv.org/abs/2003.09097v1
• [stat.ML]Sequential Bayesian Experimental Design for Implicit Models via Mutual Information
Steven Kleinegesse, Christopher Drovandi, Michael U. Gutmann
http://arxiv.org/abs/2003.09379v1