Every paper with a summary
Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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12,721 to 12,780 of 117,717
GAN Memory with No Forgetting
Yulai Cong, Miaoyun Zhao, Jianqiao Li +2
cs.CVcs.LGarXiv:2006.07543v22020Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu +4
eess.SPcs.LGarXiv:1912.12528v22019OmniTact: A Multi-Directional High Resolution Touch Sensor
Akhil Padmanabha, Frederik Ebert, Stephen Tian +3
cs.ROcs.CVcs.LGarXiv:2003.06965v12020Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Jean Mercat, Thomas Gilles, Nicole El Zoghby +3
cs.LGcs.AIcs.ROarXiv:1910.03650v32019Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
Shuo Cheng, Zexiang Xu, Shilin Zhu +4
cs.CVcs.LGcs.ROarXiv:1911.12012v22019NeuroQuery: comprehensive meta-analysis of human brain mapping
Jérôme Dockès, Russell Poldrack, Romain Primet +5
q-bio.QMstat.MLarXiv:2002.09261v12020SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
Fuyu Lv, Taiwei Jin, Changlong Yu +4
cs.IRarXiv:1909.00385v22019Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui +4
cs.CVcs.LGeess.IVarXiv:2005.14284v12020Differentiable Surface Splatting for Point-based Geometry Processing
Wang Yifan, Felice Serena, Shihao Wu +2
cs.GRcs.NEarXiv:1906.04173v32019Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao +3
cs.CVcs.GRcs.LGarXiv:1910.12713v12019Dynamic Tube MPC for Nonlinear Systems
Brett T. Lopez, Jean-Jacques E. Slotine, Jonathan P. How
eess.SYcs.SYarXiv:1907.06553v12019Many-Objective Software Remodularization using NSGA-III
Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout +4
cs.SEcs.AIarXiv:2005.06510v12020Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp, Erik Daxberger, José Miguel Hernández-Lobato
cs.LGstat.MLarXiv:2006.09191v22020SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Qian Lou, Lei Jiang
cs.CRcs.LGarXiv:1906.00148v22019DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
Pierre-Yves Lajoie, Benjamin Ramtoula, Yun Chang +2
cs.ROarXiv:1909.12198v22019Automatic reconstruction of fully volumetric 3D building models from point clouds
Sebastian Ochmann, Richard Vock, Reinhard Klein
cs.GRarXiv:1907.00631v12019Checking Smart Contracts with Structural Code Embedding
Zhipeng Gao, Lingxiao Jiang, Xin Xia +2
cs.SEarXiv:2001.07125v12020Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu, Anna Rohrbach, Trevor Darrell +1
cs.CVarXiv:1905.04405v22019System Evaluation of the Intel Optane Byte-addressable NVM
Ivy B. Peng, Maya B. Gokhale, Eric W. Green
cs.DCarXiv:1908.06503v12019Sound Event Detection in Multichannel Audio Using Spatial and Harmonic Features
Sharath Adavanne, Giambattista Parascandolo, Pasi Pertilä +2
cs.SDcs.LGarXiv:1706.02293v12017Approximate Inference Turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi +1
stat.MLcs.AIcs.LGarXiv:1906.01930v32019A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
eess.IVcs.CVcs.LGarXiv:2004.12823v42020CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas, Yihe Dong, Gautam Kamath +1
stat.MLcs.CRcs.DSarXiv:2006.06618v32020Deep Video Inpainting
Dahun Kim, Sanghyun Woo, Joon-Young Lee +1
cs.CVarXiv:1905.01639v12019Learning Formation of Physically-Based Face Attributes
Ruilong Li, Karl Bladin, Yajie Zhao +8
cs.CVarXiv:2004.03458v22020Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Chuang Gan, Yiwei Zhang, Jiajun Wu +2
cs.CVcs.LGcs.ROarXiv:1912.11684v22019Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang, Lala Li, Zachary Nado +5
cs.LGstat.MLarXiv:1907.04164v22019D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang, Shali Jiang, Zhicheng Cui +2
cs.LGstat.MLarXiv:1904.11088v42019Neural Predictor for Neural Architecture Search
Wei Wen, Hanxiao Liu, Hai Li +3
cs.LGstat.MLarXiv:1912.00848v12019MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang, Tong Xu, Qi Liu +5
cs.SIcs.LGarXiv:1905.11013v12019Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis
cs.NEcs.LGmath.NAarXiv:1912.00873v12019DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training
Xiaochen Peng, Shanshi Huang, Hongwu Jiang +2
cs.ETcs.LGarXiv:2003.06471v12020Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
Peng Hang, Chen Lv, Yang Xing +2
cs.ROeess.SYarXiv:2005.11064v22020A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development
Shenzhi Chen, Jinling Hu, Yan Shi +2
eess.SPcs.NIarXiv:2002.08736v12020Prime Sample Attention in Object Detection
Yuhang Cao, Kai Chen, Chen Change Loy +1
cs.CVarXiv:1904.04821v22019Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu +9
cs.CVarXiv:1905.02244v52019FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments
Jesus Tordesillas, Brett T. Lopez, Michael Everett +1
cs.ROcs.CVarXiv:2001.04420v22020Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Cameron Voloshin, Hoang M. Le, Nan Jiang +1
cs.LGcs.AIcs.ROarXiv:1911.06854v32019Active Preference-Based Gaussian Process Regression for Reward Learning
Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer +1
cs.ROcs.AIcs.LGarXiv:2005.02575v22020The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli +2
cs.CVcs.AIcs.CLarXiv:1904.12584v12019Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Maede Zolanvari, Marcio A. Teixeira, Lav Gupta +2
cs.CRcs.LGcs.NIarXiv:1911.05771v12019Deep Contextual Attention for Human-Object Interaction Detection
Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan +4
cs.CVarXiv:1910.07721v12019Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020Optimal Virtual Network Function Placement and Resource Allocation in Multi-Cloud Service Function Chaining Architecture
Deval Bhamare, Mohammed Samaka, Aiman Erbad +3
cs.NIarXiv:1903.11550v12019Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst +3
cs.LGcs.AIcs.CVarXiv:1904.07451v22019A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
cs.CVcs.LGeess.IVarXiv:2004.02806v12020DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Ofir Nachum, Yinlam Chow, Bo Dai +1
cs.LGcs.AIstat.MLarXiv:1906.04733v22019Extrapolated full waveform inversion with deep learning
Hongyu Sun, Laurent Demanet
physics.geo-phphysics.comp-pharXiv:1909.11536v22019Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
Xinyuan Chen, Chang Xu, Xiaokang Yang +2
cs.CVarXiv:1904.02296v12019Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Jianlan Luo, Eugen Solowjow, Chengtao Wen +4
cs.ROarXiv:1903.01066v22019Design, Modelling and Validation of a Novel Extra Slender Continuum Robot for In-situ Inspection and Repair in Aeroengine
Mingfeng Wang, Xin Dong, Weiming Ba +3
cs.ROeess.SYarXiv:1910.04572v12019Sum Rate Maximization for Multiuser MISO Downlink with Intelligent Reflecting Surface
Silei Wang, Qiang Li, Sissi Xiaoxiao Wu +1
eess.SPcs.ITmath.ITarXiv:1912.09315v32019A Simulative Study on Active Disturbance Rejection Control (ADRC) as a Control Tool for Practitioners
Gernot Herbst
eess.SYarXiv:1908.04596v22019What's Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi +2
cs.CVcs.LGarXiv:1911.13299v22019Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio +1
cs.LGstat.MLarXiv:1909.09157v22019Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang, Adriana Romero, Matthew J. Muckley +3
cs.CVarXiv:1902.03051v12019A Comprehensive Study on Deep Learning Bug Characteristics
Md Johirul Islam, Giang Nguyen, Rangeet Pan +1
cs.SEcs.LGarXiv:1906.01388v12019Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study
Zhibin Zhao, Tianfu Li, Jingyao Wu +4
eess.SPcs.LGarXiv:2003.03315v32020Network Medicine in the age of biomedical big data
Abhijeet R. Sonawane, Scott T. Weiss, Kimberly Glass +1
q-bio.MNarXiv:1903.05449v12019Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Xuesong Shi, Dongjiang Li, Pengpeng Zhao +15
cs.ROcs.CVarXiv:1911.05603v22019