机器学习每日论文速递[12.10]

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cs.LG 方向，今日共计76篇

【1】 Data embedding and prediction by sparse tropical matrix factorization

标题：稀疏热带矩阵分解在数据嵌入和预测中的应用

作者：Amra Omanović,Hilal Kazan,Polona Oblak,Tomaž Curk

机构*：University of Ljubljana, Antalya Bilim University, Vecna pot , Ljubljana, Slovenia, Ciplakli, Akdeniz Blv. No: ,A, Antalya, Turkey, amra.omanovicofri. uni-,j. si, hilal. kazanOCantalya. edu. tr, Tomaz Curk, polona. oblakofri. uni-,j.si, tomaz. curkofri. uni-lj. si

链接：https://arxiv.org/abs/2012.05210

【2】 Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction

标题：基于图的时空交通量预测的不确定区间

作者：Tijs Maas,Peter Bloem

机构*：Informatics Institute., INDELab, University of Amsterdam

链接：https://arxiv.org/abs/2012.05207

【3】 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance

标题：计算投影稳健瓦瑟斯坦距离的黎曼挡路坐标下降法

作者：Minhui Huang,Shiqian Ma,Lifeng Lai

机构*：December

链接：https://arxiv.org/abs/2012.05199

【4】 Cost-Based Budget Active Learning for Deep Learning

标题：深度学习中基于成本预算的主动学习

作者：Patrick K. Gikunda,Nicolas Jouandeau

机构*：Computer Science Dept., Paris, University, France

链接：https://arxiv.org/abs/2012.05196

【5】 Convex Regularization Behind Neural Reconstruction

标题：神经重构背后的凸正则化

作者：Arda Sahiner,Morteza Mardani,Batu Ozturkler,Mert Pilanci,John Pauly

机构*：Stanford University

链接：https://arxiv.org/abs/2012.05169

【6】 Implicit Regularization in ReLU Networks with the Square Loss

标题：具有平方损失的RELU网络中的隐式正则化

作者：Ohad Shamir,Gal Vardi

机构*：Weizmann Institute of Science

链接：https://arxiv.org/abs/2012.05156

【7】 Binding and Perspective Taking as Inference in a Generative Neural Network Model

标题：产生式神经网络模型中的绑定和透视推理

作者：Mahdi Sadeghi,Fabian Schrodt,Sebastian Otte,Martin V. Butz

机构*： University of Tubingen, Neuro-Cognitive Modeling Group, Sand , D-, Tubingen, Germany

链接：https://arxiv.org/abs/2012.05152

【8】 Streaming Algorithms for Stochastic Multi-armed Bandits

标题：随机多臂游戏机的流传输算法

作者：Arnab Maiti,Vishakha Patil,Arindam Khan

机构*：Indian Institute of Technology, Indian Institute of Science, Bangalore

备注：24 pages, 2 figures, 4 algorithms

链接：https://arxiv.org/abs/2012.05142

【9】 Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks

标题：不可靠和资源受限蜂窝无线网络中的联合学习

作者：Mohammad Salehi,Ekram Hossain

链接：https://arxiv.org/abs/2012.05137

【10】 Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data

标题：从横截面人口数据推断随机动力系统

作者：Anastasios Tsourtis,Yannis Pantazis,Ioannis Tsamardinos

链接：https://arxiv.org/abs/2012.05055

【11】 NSL: Hybrid Interpretable Learning From Noisy Raw Data

标题：NSL：噪声原始数据的混合可解释学习

作者：Daniel Cunnington,Alessandra Russo,Mark Law,Jorge Lobo,Lance Kaplan

机构*：Imperial College London, London, UK, Army Research Laboratory, Adelphi, MD, USA, December

链接：https://arxiv.org/abs/2012.05023

【12】 Driving Behavior Explanation with Multi-level Fusion

标题：基于多层次融合的驾驶行为解释

作者：Hédi Ben-Younes,Éloi Zablocki,Patrick Pérez,Matthieu Cord

机构*：Valeo.ai, Sorbonne Universite

备注：Accepted at NeurIPS Workshop ML4AD 2020

链接：https://arxiv.org/abs/2012.04983

【13】 Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification

标题：三元模体场时间序列异常检测及其在心房颤动心电图分类中的应用

作者：Yadong Zhang,Xin Chen

链接：https://arxiv.org/abs/2012.04936

【14】 Distributed Training of Graph Convolutional Networks using Subgraph Approximation

标题：基于子图逼近的图卷积网络分布式训练

作者：Alexandra Angerd,Keshav Balasubramanian,Murali Annavaram

机构*：Chalmers University of Technology, angerdachalmers. se, University of Southern California

链接：https://arxiv.org/abs/2012.04930

【15】 Improving Gradient Flow with Unrolled Highway Expectation Maximization

标题：用平铺公路期望值最大化改善坡度流

作者：Chonghyuk Song,Eunseok Kim,Inwook Shim

机构*：Ground Technology Research Institute, Agency for Defense Development

备注：Accepted at AAAI 2021. Preprint

链接：https://arxiv.org/abs/2012.04926

【16】 ESAD: End-to-end Deep Semi-supervised Anomaly Detection

标题：ESAD：端到端深度半监督异常检测

作者：Chaoqin Huang,Fei Ye,Ya Zhang,Yan-Feng Wang,Qi Tian

机构*：Ya zhang, Shanghai Jiao Tong University Shanghai Jiao Tong University Huawei Cloud AI

链接：https://arxiv.org/abs/2012.04905

【17】 LSTM recurrent neural network assisted aircraft stall prediction for enhanced situational awareness

标题：LSTM递归神经网络辅助飞机失速预报增强态势感知

作者：Tahsin Sejat Saniat,Tahiat Goni,Shaikat M. Galib

机构*：Mechanical and Production Engineering, Electrical and Computer Engineering, Islamic University of Technology, University of Alberta, Boardbazar, Gazipur , Edmonton, AB T,G ,R, H,.ai, Leghorn St, Mountain View, CA , shaikat. galiboh,o.ai

链接：https://arxiv.org/abs/2012.04876

【18】 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

标题：EvaLDA：针对潜在Dirichlet分配的有效规避攻击

作者：Qi Zhou,Haipeng Chen,Yitao Zheng,Zhen Wang

机构*：Hangzhou Dianzi University Hangzhou , China, Harvard University, Cambridge , MA, USA

备注：Accepted for publication at AAAI2021. 10 pages

链接：https://arxiv.org/abs/2012.04864

【19】 Skillearn: Machine Learning Inspired by Humans Learning Skills

标题：SkilLearning：受人类学习技能启发的机器学习

作者：Pengtao Xie,Xuefeng Du,Hao Ban

机构*：PlXIEQENG. UCSD.EDU, University of California San Diego

备注：arXiv admin note: substantial text overlap with arXiv:2011.15102

链接：https://arxiv.org/abs/2012.04863

【20】 Scalable Neural Tangent Kernel of Recurrent Architectures

标题：递归结构的可伸缩神经切核

作者：Sina Alemohammad,Randall Balestriero,Zichao Wang,Richard Baraniuk

机构*：Rice University, Houston, Texas, USA

链接：https://arxiv.org/abs/2012.04859

【21】 Accurate and Fast Federated Learning via IID and Communication-Aware Grouping

标题：通过IID和通信感知分组实现准确快速的联合学习

作者：Jin-woo Lee,Jaehoon Oh,Yooju Shin,Jae-Gil Lee,Se-Young Yoon

链接：https://arxiv.org/abs/2012.04857

【22】 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation

标题：基于对等蒸馏的鲁棒领域随机强化学习

作者：Chenyang Zhao,Timothy Hospedales

机构*：Timothy M. Hospedales, University of Edinburgh

链接：https://arxiv.org/abs/2012.04839

【23】 Semi-Supervised Off Policy Reinforcement Learning

标题：半监督离线策略强化学习

作者：Aaron Sonabend-W,Nilanjana Laha,Rajarshi Mukherjee,Tianxi Cai

机构*：Harvard University, NILANJANAAA.LAHAQGMAIL.COM, TCAIQHSPH.http://HARVARD.EDU链接：https://arxiv.org/abs/2012.04809

【24】 A Statistical Test for Probabilistic Fairness

标题：概率公平性的一种统计检验

作者：Bahar Taskesen,Jose Blanchet,Daniel Kuhn,Viet Anh Nguyen

链接：https://arxiv.org/abs/2012.04800

【25】 A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data

标题：利用移动设备位置数据估计多式联运出行需求模式的数据驱动分析框架

作者：Chenfeng Xiong,Aref Darzi,Yixuan Pan,Sepehr Ghader,Lei Zhang

机构*：. Assistant Research Professor, University of Maryland, College Park, MD,., . Graduate Research Assistant, . Research Scientist, University of, . (Corresponding Author) Herbert Rabin Distinguished Professor, Environmental Engineering, University of Maryland, College Park, MD, USA

备注：26 pages, 12 figures

链接：https://arxiv.org/abs/2012.04776

【26】 Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors

标题：挖掘、发现和分析语义人员流动行为的方法论

作者：Clement Moreau,Thomas Devogele,Veronika Peralta,Laurent Etienne,Cyril de Runz

机构*：University of Tours, France, LABISEN, Yncrea Ouest, France, firstname. lastnameQuniv-tours. fr, December

链接：https://arxiv.org/abs/2012.04767

【27】 STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

标题：STELAR：潜在流行病学正则化的时空张量分解

作者：Nikos Kargas,Cheng Qian,Nicholas D. Sidiropoulos,Cao Xiao,Lucas M. Glass,Jimeng Sun

机构*： University of Minnesota, Analytics Center of Excellence, IQVIA, University of Virginia, University of Illinois Urbana-Champaign

链接：https://arxiv.org/abs/2012.04747

【28】 River: machine learning for streaming data in Python

标题：River：Python中流数据的机器学习

作者：Jacob Montiel,Max Halford,Saulo Martiello Mastelini,Geoffrey Bolmier,Raphael Sourty,Robin Vaysse,Adil Zouitine,Heitor Murilo Gomes,Jesse Read,Talel Abdessalem,Albert Bifet

机构*：AI Institute, University of Waikato Hamilton, New Zealand, Alan, Paris, France, Institute of Mathematics and Computer Sciences, University of Sao Paulo, Sao Carlos, Brazil, GEOFFREY. BOLMIERQVOLVOCARS. COM, Volvo Car Corporation, Goteborg, Sweden, IRIT, Universite Paul Sabatier, Toulouse, France, Renault, Paris, France, Octogone Lordat, Universite Jean-Jaures Toulouse, France, adil. ZOUITINE QIRT-SAINTEXUPERY.COM, IRT Saint Exupery, Toulouse, France, AI Institute, University of Waikato, Hamilton, New Zealand, LIX, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France, LTCI, Telecom Paris, Institut Polytechniqu de paris, Palaiseau, France, tttct

备注：Submitted to JMLR MLOSS

链接：https://arxiv.org/abs/2012.04740

【29】 Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans

标题：基于图的语义和行为增强布局图的生成性表示学习

作者：Vahid Azizi,Muhammad Usman,Honglu Zhou,Petros Faloutsos,Mubbasir Kapadia

机构*：the date of receipt and acceptance should be inserted later

链接：https://arxiv.org/abs/2012.04735

【30】 On 1/n neural representation and robustness

标题：关于1/n神经表示与鲁棒性

作者：Josue Nassar,Piotr Aleksander Sokol,SueYeon Chung,Kenneth D. Harris,Il Memming Park

机构*：Stony Brook University, Sue Yeon Chung, Center for Theoretical Neuroscience, Columbia University, II Memming Park, UCL Institute of Neurology, University College London

链接：https://arxiv.org/abs/2012.04729

【31】 Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics

标题：神经力学：深度学习动力学中的对称性和破缺守恒律

作者：Daniel Kunin,Javier Sagastuy-Brena,Surya Ganguli,Daniel L. K. Yamins,Hidenori Tanaka

机构*：Stanford University, Physics& Informatics Laboratories, NTT Research,Inc.

备注：28 pages, 17 figures

链接：https://arxiv.org/abs/2012.04728

【32】 Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design

标题：一种新的基于机器学习的优化算法(ACTO)在加速仿真驱动发动机设计中的应用

作者：Opeoluwa Owoyele,Pinaki Pal

机构*：Energy systems division, Argonne National Laboratory, S. Cass Ave, Lemont, IL, USA

链接：https://arxiv.org/abs/2012.04649

【33】 Gauge equivariant neural networks for quantum lattice gauge theories

标题：量子格点规范理论的规范等变神经网络

作者：Di Luo,Giuseppe Carleo,Bryan K. Clark,James Stokes

机构*：University of Illinois at Urbana-Champaign, IL , USA, IQUIST and Institute for Condensed Matter Theory and NCSA Center for Artificial Intelligence Innovation, Institute of Physics, Ecole Polytechnique Federale de Lausanne (EPFL), CH-, Lausanne, Switzerland, A Center for Computational Quantum Physics and Center for, Computational Mathematics, Flatiron Institute, New York, NY , USA, (Dated: December ,)

链接：https://arxiv.org/abs/2012.05232

【34】 MorphNet: One-Shot Face Synthesis GAN for Detecting Recognition Bias

标题：MorphNet：用于识别偏差检测的一次人脸合成GaN

作者：Nataniel Ruiz,Barry-John Theobald,Anurag Ranjan,Ahmed Hussein Abdelaziz,Nicholas Apostoloff

机构*：Boston University, Boston, MA ,Apple, Cupertino, CA

链接：https://arxiv.org/abs/2012.05225

【35】 On the Binding Problem in Artificial Neural Networks

标题：关于人工神经网络中的绑定问题

作者：Klaus Greff,Sjoerd van Steenkiste,Jürgen Schmidhuber

机构*：KLAUSGOGOOGLE. COM, Google Research, Brain Team, TucholskystrafBe , Berlin, Germany, Jurgen Schmidhuber, JUERGEN QIDSIA. CH, Istituto Dalle Molle di studi sullintelligenza artificiale (IDSIA), Universita della Svizzera Italiana (USI), Scuola universitaria professionale della Svizzera italiana (SUPSI), Via la Santa , Viganello, Switzerland

链接：https://arxiv.org/abs/2012.05208

【36】 Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering

标题：基于几何接触绘制的第一次触觉物体位姿估计

作者：Maria Bauza,Eric Valls,Bryan Lim,Theo Sechopoulos,Alberto Rodriguez

机构*：Massachusetts Institute of Technology

备注：CORL 2020, 5 figures + 2 in appendix Video: this https URL

链接：https://arxiv.org/abs/2012.05205

【37】 Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading

标题：基于人工智能的Gleason分级预测前列腺癌特异性死亡率

作者：Ellery Wulczyn,Kunal Nagpal,Matthew Symonds,Melissa Moran,Markus Plass,Robert Reihs,Farah Nader,Fraser Tan,Yuannan Cai,Trissia Brown,Isabelle Flament-Auvigne,Mahul B. Amin,Martin C. Stumpe,Heimo Muller,Peter Regitnig,Andreas Holzinger,Greg S. Corrado,Lily H. Peng,Po-Hsuan Cameron Chen,David F. Steiner,Kurt Zatloukal,Yun Liu,Craig H. Mermel

机构*：Liu, Craig. Mermel, Affiliations:, Google Health, Palo Alto, CA, USA, Medical University of Graz, Graz, Austria, Work done at Google Health via Advanced Clinical, Deerfield, IL, USA, University of Tennessee Health Science, Center, Memphis, TN, USA, Work done at Google Health. Present address: Tempus Labs Inc, Chicago, IL, USA, Equal contribution, order determined randomly

链接：https://arxiv.org/abs/2012.05197

【38】 Bad-Data Sequence Detection for Power System State Estimation via ICA-GAN

标题：基于ICA-GAN的电力系统状态估计中的不良数据序列检测

作者：Kursat Rasim Mestav,Lang Tong

备注：8 pages, 5 figures

链接：https://arxiv.org/abs/2012.05163

【39】 Causal Inference in Geoscience and Remote Sensing from Observational Data

标题：从观测数据推断地学与遥感中的因果关系

作者：Adrián Pérez-Suay,Gustau Camps-Valls

链接：https://arxiv.org/abs/2012.05150

【40】 Towards Zero-shot Cross-lingual Image Retrieval

标题：面向Zero-Shot的跨语言图像检索

作者：Pranav Aggarwal,Ajinkya Kale

机构*：Adobe Inc., San Jose, CA

链接：https://arxiv.org/abs/2012.05107

【41】 DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis

标题：DeepTalk：用于说话人识别和语音合成的声调编码

作者：Anurag Chowdhury,Arun Ross,Prabu David

机构*：Michigan State University

备注：IEEE ICASSP 2020 Submission, 5 pages, 3 figures

链接：https://arxiv.org/abs/2012.05084

【42】 Emergent Quantumness in Neural Networks

标题：神经网络中的涌出量

作者：Mikhail I. Katsnelson,Vitaly Vanchurin

机构*：Institute for Molecules and Materials Radboud University, Heyendaalseweg , NL-, AJ Nijmegen, The Netherlands, University of Minnesota, Duluth, Minnesota, Duluth Institute for Advanced Study, Duluth, Minnesota

备注：15 pages

链接：https://arxiv.org/abs/2012.05082

【43】 Variational Nonlinear System Identification

标题：变分非线性系统辨识

作者：Jarrad Courts,Adrian Wills,Thomas Schön,Brett Ninness

机构*：University of Newcastle, australia, Uppsala University, Uppsala, Sweden, December

链接：https://arxiv.org/abs/2012.05072

【44】 Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

标题：基于混合机器学习方法的作物地上部含氮量反演

作者：Katja Berger,Jochem Verrelst,Jean-Baptiste Féret,Tobias Hank,Matthias Wocher,Wolfram Mauser,Gustau Camps-Valls

机构*：Ludwig-Maximilians-Univ-- Munich, Luisenstr., Munich, Germany, Image Processing Laboratory (IPL), Parc Cientific, Universitat de Valencia, Paterna, Valencia, Spain, TETIS, INRAE, AgroParisTech, CIRAD, CNRS, Universite Montpellier, Montpellier, France, Preprint version of the paper appearing in International Journal of Applied Earth Observation, and, Geoinformation, Volume, October

备注：None

链接：https://arxiv.org/abs/2012.05043

【45】 Improving Knowledge Tracing via Pre-training Question Embeddings

标题：通过预训练问题嵌入改进知识跟踪

作者：Yunfei Liu,Yang Yang,Xianyu Chen,Jian Shen,Haifeng Zhang,Yong Yu

机构*：Shanghai Jiao Tong University, The Center on Frontiers of Computing Studies, Peking University

备注：7 pages,3 figures, IJCAI2020

链接：https://arxiv.org/abs/2012.05031

【46】 Generating Out of Distribution Adversarial Attack using Latent Space Poisoning

标题：利用潜在空间毒化产生分布外的敌意攻击

作者：Ujjwal Upadhyay,Prerana Mukherjee

机构*：Bharati Vidyapeeths College of Engineering, IIT Delhi, New Delhi, Delhi

备注：Submitted to IEEE SPL

链接：https://arxiv.org/abs/2012.05027

【47】 Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting

标题：用于降雨短时预报的深度学习模型中雨雷达图像与风预报的融合

作者：Vincent Bouget,Dominique Béréziat,Julien Brajard,Anastase Charantonis,Arthur Filoche

机构*：Filoche , Sorbonne Universite, CNRS, Laboratoire dInformatique de Paris ,; Paris, France, NERSC; Bergen, Norway, LOCEAN; Paris,France, ENSIIE; Evry, Fran, Version December , submitted to Remote Sens.

备注：submitted to Remote Sensing (MDPI)

链接：https://arxiv.org/abs/2012.05015

【48】 Representation Extraction and Deep Neural Recommendation for Collaborative Filtering

标题：协同过滤中的表示提取和深度神经推荐

作者：Arash Khoeini,Saman Haratizadeh,Ehsan Hoseinzade

机构*：North Kargar Street, Tehran, Iran, Simon Fraser University, University Drive, Burnaby, Canada

链接：https://arxiv.org/abs/2012.04979

【49】 Conjugate Mixture Models for Clustering Multimodal Data

标题：多模态数据聚类的共轭混合模型

作者：Vasil Khalidov,Florence Forbes,Radu Horaud

机构*：FINRIA Grenoble Rhone-Alpes, avenue de IEurope, Montbonnot Saint-Martin, FRANCE, Keywords: mixture models, EM algorithm, multisensory fusion, audiovisual, integration, Lipschitz continuity, global optimization.

备注：None

链接：https://arxiv.org/abs/2012.04951

【50】 Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models

标题：高斯过程模型中的解缠导数、不确定度和误差

作者：Juan Emmanuel Johnson,Valero Laparra,Gustau Camps-Valls

机构*：Image Processing Laboratory Image Processing Laboratory Image Processing Laboratory, Universitat de valencia, Valencia, spain, juan. johnsonOuv.es, valero. laparraQuv.es, gcampsQuv.es, December

备注：arXiv admin note: text overlap with arXiv:2005.09907

链接：https://arxiv.org/abs/2012.04947

【51】 Removing Class Imbalance using Polarity-GAN: An Uncertainty Sampling Approach

标题：利用极性-GaN消除类不平衡：一种不确定性抽样方法

作者：Kumari Deepshikha,Anugunj Naman

机构*：NVIDIA, IIIT Guwahati

备注：CVPR2021 Submission

链接：https://arxiv.org/abs/2012.04937

【52】 AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation

标题：AMVNet：用于LiDAR语义分割的基于断言的多视图融合网络

作者：Venice Erin Liong,Thi Ngoc Tho Nguyen,Sergi Widjaja,Dhananjai Sharma,Zhuang Jie Chong

机构*：TMotional Nanyang Technological University

备注：10 pages, 7 figures, 5 tables

链接：https://arxiv.org/abs/2012.04934

【53】 Consistent regression of biophysical parameters with kernel methods

标题：用核方法实现生物物理参数的一致性回归

作者：Emiliano Díaz,Adrián Pérez-Suay,Valero Laparra,Gustau Camps-Valls

机构*：Image Processing Lab (IPL), Universitat de valencia, Valencia, Spain

备注：arXiv admin note: substantial text overlap with arXiv:1710.05578

链接：https://arxiv.org/abs/2012.04922

【54】 Progressive Network Grafting for Few-Shot Knowledge Distillation

标题：基于渐进式网络嫁接的微机率知识提炼

作者：Chengchao Shen,Xinchao Wang,Youtan Yin,Jie Song,Sihui Luo,Mingli Song

机构*： Zhejiang University, Stevens Institute of Technology, Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies

备注：Accepted to AAAI 2021

链接：https://arxiv.org/abs/2012.04915

【55】 Generative Data Augmentation for Vehicle Detection in Aerial Images

标题：航空图像中车辆检测的生成性数据增强

作者：Hilmi Kumdakcı,Cihan Öngün,Alptekin Temizel

机构*：Middle East Technical University, Ankara, Turkey

备注：Workshop on Analysis of Aerial Motion Imagery (WAAMI 2020) in conjunction with 25th International Conference on Pattern Recognition (ICPR 2020)

链接：https://arxiv.org/abs/2012.04902

【56】 AIDE: Annotation-efficient deep learning for automatic medical image segmentation

标题：AIDE：用于医学图像自动分割的注释高效深度学习

作者：Cheng Li,Rongpin Wang,Zaiyi Liu,Meiyun Wang,Hongna Tan,Yaping Wu,Xinfeng Liu,Hui Sun,Rui Yang,Xin Liu,Ismail Ben Ayed,Hairong Zheng,Hanchuan Peng,Shanshan Wang

机构*：IPaul. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced, Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Guizhou Provincial Peoples Hospital, Guizhou, China., Guangdong General Hospital, Guangdong Academy of, Medical Sciences, Guangzhou, Guangdong, China., Henan Provincial Peoples Hospital the Peoples Hospital of, Zhengzhou University, Zhengzhou, Henan, China, Renmin Hospital of Wuhan University, Wuhan, Hubei, China., ETS Montreal, Montreal, Canada.

链接：https://arxiv.org/abs/2012.04885

【57】 Model-agnostic Fits for Understanding Information Seeking Patterns in Humans

标题：模型不可知论适用于理解人类的信息寻求模式

作者：Soumya Chatterjee,Pradeep Shenoy

机构*： Indian Institute of Technology, Bombay, Google Research India

备注：8 pages, 9 figures. To appear at AAAI 2021

链接：https://arxiv.org/abs/2012.04858

【58】 SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

标题：SnapMix：扩充细粒度数据的语义比例混合

作者：Shaoli Huang,Xinchao Wang,Dacheng Tao

机构*： The University of Sydney, Stevens Institute of Technology

备注：Accepted by AAAI2021

链接：https://arxiv.org/abs/2012.04846

【59】 One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma

标题：一票否决：诊断青光眼的任务不变嵌入法低概率学习的自我训练策略

作者：Rui Fan,Christopher Bowd,Nicole Brye,Mark Christopher,Robert N. Weinreb,David Kriegman,Linda Zangwill

机构*：UC San Diego

链接：https://arxiv.org/abs/2012.04841

【60】 Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework

标题：深层无监督图像异常检测：一个信息论框架

作者：Fei Ye,Huangjie Zheng,Chaoqin Huang,Ya Zhang

链接：https://arxiv.org/abs/2012.04837

【61】 A Topological Filter for Learning with Label Noise

标题：一种用于标签噪声学习的拓扑过滤

作者：Pengxiang Wu,Songzhu Zheng,Mayank Goswami,Dimitris Metaxas,Chao Chen

备注：NeurIPS 2020

链接：https://arxiv.org/abs/2012.04835

【62】 Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey

标题：机器学习在眼部影像学白内障分类分级中的研究进展

作者：Xiaoqing Zhang,JianSheng Fang,Yan Hu,Yanwu Xu,Risa Higashita,Jiang Liu

机构*：Shenzhen, China, Harbin Institute of Technology, Harbin, China, Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China, Tomey Corporation, Japan, e Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Southern, University of Science and Technology, Shenzhen,China, ARTICLE INFO

备注：14 pages, 10 figures

链接：https://arxiv.org/abs/2012.04830

【63】 You Only Need Adversarial Supervision for Semantic Image Synthesis

标题：语义图像合成只需要对抗性监督

作者：Vadim Sushko,Edgar Schönfeld,Dan Zhang,Juergen Gall,Bernt Schiele,Anna Khoreva

机构*：Edgar Schonfeld, Bosch Center for Artificial Intelligence, Jurgen Gall, University of Bonn, Max Planck Institute for Informatics

链接：https://arxiv.org/abs/2012.04781

【64】 Joint Entity and Relation Canonicalization in Open Knowledge Graphs using Variational Autoencoders

标题：基于变分自动编码器的开放知识图的联合实体和关系规范化

作者：Sarthak Dash,Gaetano Rossiello,Nandana Mihindukulasooriya,Sugato Bagchi,Alfio Gliozzo

机构*：IBM Research AI, Yorktown Heights, NY, USA

链接：https://arxiv.org/abs/2012.04780

【65】 Simultaneous Grouping and Denoising via Sparse Convex Wavelet Clustering

标题：基于稀疏凸小波聚类的同时分组去噪

作者：Michael Weylandt,T. Mitchell Roddenberry,Genevera I. Allen

机构*：University of Florida Informatics Institute, Gainesville, FL USA, Rice University, Houston, TX USA

链接：https://arxiv.org/abs/2012.04762

【66】 Automatic Registration and Convex Clustering of Time Series

标题：时间序列的自动配准和凸聚类

作者：Michael Weylandt,George Michailidis

机构*：University of Florida Informatics Institute, Gainesville, FL ,.

链接：https://arxiv.org/abs/2012.04756

【67】 Canonical Capsules: Unsupervised Capsules in Canonical Pose

标题：经典式胶囊：无人监督的经典式胶囊

作者：Weiwei Sun,Andrea Tagliasacchi,Boyang Deng,Sara Sabour,Soroosh Yazdani,Geoffrey Hinton,Kwang Moo Yi

机构*：University of British Columbia,University of Toronto, Google Research, SUniversity of Victoria, equal contributions

备注：The first two authors contributed equally to this work

链接：https://arxiv.org/abs/2012.04718

【68】 Classical symmetries and QAOA

标题：经典对称性与QAOA

作者：Ruslan Shaydulin,Stuart Hadfield,Tad Hogg,Ilya Safro

链接：https://arxiv.org/abs/2012.04713

【69】 ODFNet: Using orientation distribution functions to characterize 3D point clouds

标题：ODFNet：使用方向分布函数来表征三维点云

作者：Yusuf H. Sahin,Alican Mertan,Gozde Unal

机构*：Istanbul Technical University, Computer Engineering, Istanbul, Turkey

备注：The paper is under consideration at Computer Vision and Image Understanding

链接：https://arxiv.org/abs/2012.04708

【70】 Emergence of Different Modes of Tool Use in a Reaching and Dragging Task

标题：在到达和拖动任务中出现不同的工具使用模式

作者：Khuong Nguyen,Yoonsuck Choe

机构*：Texas&M University, College Station, TX ,-

备注：11 pages, 10 figures, 14 pdf-embedded animations

链接：https://arxiv.org/abs/2012.04700

【71】 Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation

标题：用于指导对话随机政策优化的稀释的接近最优的专家演示

作者：Thibault Cordier,Tanguy Urvoy,Lina M. Rojas-Barahona,Fabrice Lefèvre

机构*：ILIA-University of Avignon, Avignon, France, Orange Labs, Lannion, France, fabrice.http://lefevreQuniv-avignon.fr

备注：8 pages, Accepted at Human in the Loop Dialogue Systems Workshop, NeurIPS 2020

链接：https://arxiv.org/abs/2012.04687

【72】 Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19

标题：Transform Query-靶知识发现(Tend)：CORD-19的药物发现

作者：Leo K. Tam,Xiaosong Wang,Daguang Xu

机构*：NVIDIA, San Tomas Expy, Santa Clara, CA.

链接：https://arxiv.org/abs/2012.04682

【73】 A Real-Time Whole Page Personalization Framework for E-Commerce

标题：一种面向电子商务的实时整页个性化框架

作者：Aditya Mantha,Anirudha Sundaresan,Shashank Kedia,Yokila Arora,Shubham Gupta,Gaoyang Wang,Praveenkumar Kanumala,Stephen Guo,Kannan Achan

机构*：Walmart Labs, Sunnyvale, CA, USA

链接：https://arxiv.org/abs/2012.04681

【74】 Predicting seasonal influenza using supermarket retail records

标题：利用超市零售记录预测季节性流感

作者：Ioanna Miliou,Xinyue Xiong,Salvatore Rinzivillo,Qian Zhang,Giulio Rossetti,Fosca Giannotti,Dino Pedreschi,Alessandro Vespignani

机构*： University of Pisa, Pisa, PI, Italy, ISTI-CNR, Pisa, PI, Italy, Northeastern University, Boston, MA, USA

备注：17 pages, 2 figures, 4 tables (1 in appendix), 1 algorithm, submitted to PLOS Computational Biology

链接：https://arxiv.org/abs/2012.04651

【75】 Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview

标题：计算机听力诊断冠状病毒的最新进展

作者：Kun Qian,Bjorn W. Schuller,Yoshiharu Yamamoto

机构*：glam- Group on Language, Audio,& Music, Imperial College London,uk

备注：2 pages

链接：https://arxiv.org/abs/2012.04650

【76】 Spectral clustering via adaptive layer aggregation for multi-layer networks

标题：基于自适应层聚合的多层网络频谱聚类

作者：Sihan Huang,Haolei Weng,Yang Feng

机构*：Columbia University, New York University

备注：71 pages

链接：https://arxiv.org/abs/2012.04646

机器翻译，仅供参考；“机构”仅供参考