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Representation Learning with Contrastive Predictive Coding

10 July 2018

Papers citing "Representation Learning with Contrastive Predictive Coding"

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Title
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 231 2,069 0 16 Apr 2020
Distilling Localization for Self-Supervised Representation Learning Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 161 56 0 14 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 84 3 0 12 Apr 2020
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding Yu-An Chung James R. Glass SSL 85 56 0 11 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 142 1,094 0 08 Apr 2020
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles Younkwan Lee Ji-Kwang Jeon Jongmin Yu M. Jeon 41 8 0 03 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 70 139 0 31 Mar 2020
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis Hao Tang Xiaojuan Qi Guolei Sun Dan Xu N. Sebe Radu Timofte Luc Van Gool GAN 72 11 0 31 Mar 2020
Improving out-of-distribution generalization via multi-task self-supervised pretraining Isabela Albuquerque Nikhil Naik Junnan Li N. Keskar R. Socher SSL OOD 90 40 0 30 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds Yongming Rao Jiwen Lu Jie Zhou 3DPC 73 132 0 29 Mar 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning Andreas Kirsch Clare Lyle Y. Gal 102 16 0 27 Mar 2020
Are Labels Necessary for Neural Architecture Search? Chenxi Liu Piotr Dollár Kaiming He Ross B. Girshick Alan Yuille Saining Xie 81 75 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 182 123 0 26 Mar 2020
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning Joshua Knights Ben Harwood Daniel Ward Anthony Vanderkop Olivia Mackenzie-Ross Peyman Moghadam AI4TS 84 38 0 21 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses Malik Boudiaf Jérôme Rony Imtiaz Masud Ziko Eric Granger M. Pedersoli Pablo Piantanida Ismail Ben Ayed SSL 112 160 0 19 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 177 479 0 18 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 61 7 0 17 Mar 2020
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition Jongmin Yu Yongsang Yoon M. Jeon 194 46 0 17 Mar 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning Guilherme J. Maeda Joni Väätäinen Hironori Yoshida 58 2 0 16 Mar 2020
DHOG: Deep Hierarchical Object Grouping L. N. Darlow Amos Storkey 55 7 0 13 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 108 191 0 11 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 588 3,450 0 09 Mar 2020
On Compositions of Transformations in Contrastive Self-Supervised Learning Mandela Patrick Yuki M. Asano Polina Kuznetsova Ruth C. Fong João F. Henriques Geoffrey Zweig Andrea Vedaldi 89 49 0 09 Mar 2020
VQ-DRAW: A Sequential Discrete VAE Alex Nichol BDL 43 3 0 03 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 104 25 0 02 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 346 945 0 02 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 87 48 0 27 Feb 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 114 118 0 27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 76 80 0 27 Feb 2020
Towards Learning a Universal Non-Semantic Representation of Speech Joel Shor A. Jansen Ronnie Maor Oran Lang Omry Tuval Félix de Chaumont Quitry Marco Tagliasacchi Ira Shavitt Dotan Emanuel Yinnon A. Haviv SSL 158 160 0 25 Feb 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 100 175 0 25 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 49 43 0 23 Feb 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari Xingdi Yuan Marc-Alexandre Côté M. Zelinka Marc-Antoine Rondeau Romain Laroche Pascal Poupart Jian Tang Adam Trischler William L. Hamilton AI4CE 91 81 0 21 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning Devansh Arpit Huan Wang Caiming Xiong R. Socher Yoshua Bengio SSL 44 2 0 20 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 94 73 0 20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 98 165 0 20 Feb 2020
CoLES: Contrastive Learning for Event Sequences with Self-Supervision Dmitrii Babaev Ivan Kireev Nikita Ovsov Maria Ivanova Gleb Gusev Ivan Nazarov Alexander Tuzhilin SSL AI4TS 58 27 0 19 Feb 2020
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting Hanwei Wu Ather Gattami M. Flierl AI4TS 72 14 0 18 Feb 2020
Learning Robust Representations via Multi-View Information Bottleneck Marco Federici Anjan Dutta Patrick Forré Nate Kushman Zeynep Akata SLR 83 259 0 17 Feb 2020
Convergence of End-to-End Training in Deep Unsupervised Contrastive Learning Zixin Wen SSL 68 3 0 17 Feb 2020
UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation Huaishao Luo Lei Ji Botian Shi Haoyang Huang Nan Duan Tianrui Li Jason Li Xilin Chen Ming Zhou VLM 128 438 0 15 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 431 18,968 0 13 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 117 122 0 13 Feb 2020
Subclass Distillation Rafael Müller Simon Kornblith Geoffrey E. Hinton 78 33 0 10 Feb 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 233 124 0 10 Feb 2020
On the Estimation of Information Measures of Continuous Distributions Georg Pichler Pablo Piantanida Günther Koliander 68 13 0 07 Feb 2020
Unsupervised pretraining transfers well across languages M. Rivière Armand Joulin Pierre-Emmanuel Mazaré Emmanuel Dupoux SSL VLM 73 209 0 07 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 91 85 0 06 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 152 586 0 04 Feb 2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch Peng Xu Zeyu Song Qiyue Yin Yi-Zhe Song Liang Wang SSL 92 41 0 03 Feb 2020