v1v2 (latest)

Representation Learning with Contrastive Predictive Coding

10 July 2018

Papers citing "Representation Learning with Contrastive Predictive Coding"

50 / 3,229 papers shown

Title
Self-Supervised Learning with Kernel Dependence Maximization Yazhe Li Roman Pogodin Danica J. Sutherland Arthur Gretton SSL 97 84 0 15 Jun 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 355 2,853 0 15 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 59 4 0 15 Jun 2021
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster Árpi Vezér C. A. Glastonbury Páidí Creed Sam Abujudeh Aaron Sim FaML 30 6 0 15 Jun 2021
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation Jisi Zhang Catalin Zorila R. Doddipatla Jon Barker 56 22 0 15 Jun 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units Wei-Ning Hsu Benjamin Bolte Yao-Hung Hubert Tsai Kushal Lakhotia Ruslan Salakhutdinov Abdel-rahman Mohamed SSL 190 3,013 0 14 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 107 230 0 14 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 98 59 0 14 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qinjie Lyu Xiao Fu Weiran Wang Songtao Lu SSL 89 31 0 14 Jun 2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning Shaobo Min Qi Dai Hongtao Xie Chuang Gan Yongdong Zhang Jingdong Wang SSL 56 7 0 13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 132 121 0 12 Jun 2021
Scaling Laws for Acoustic Models J. Droppo Oguz H. Elibol 65 23 0 11 Jun 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 107 180 0 11 Jun 2021
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification Xiao Zhang Yixiao Ge Yu Qiao Hongsheng Li 79 97 0 11 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 150 66 0 10 Jun 2021
Learning to See by Looking at Noise Manel Baradad Jonas Wulff Tongzhou Wang Phillip Isola Antonio Torralba 108 92 0 10 Jun 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning Susheel Suresh Pan Li Cong Hao Jennifer Neville AAML 118 343 0 10 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation Zhaowen Li Zhiyang Chen Fan Yang Wei Li Yousong Zhu ... Rui Deng Liwei Wu Rui Zhao Ming Tang Jinqiao Wang ViT 96 168 0 10 Jun 2021
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement Zefan Li Chenxi Liu Alan Yuille Bingbing Ni Wenjun Zhang Wen Gao SSL 66 5 0 10 Jun 2021
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation Rui Wang Zuxuan Wu Zejia Weng Jingjing Chen Guo-Jun Qi Yu-Gang Jiang 118 166 0 10 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian Xavier Puig Yonglong Tian Phillip Isola 99 129 0 09 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information M. Willetts Brooks Paige CML OOD 59 25 0 09 Jun 2021
Pretrained Encoders are All You Need Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa Rishabh Anand Sherjil Ozair Pattie Maes SSL VLM 81 6 0 09 Jun 2021
CLCC: Contrastive Learning for Color Constancy Yi-Chen Lo Chia-Che Chang Hsuan-Chao Chiu Yu-Hao Huang Chia-Ping Chen Yu-Lin Chang Kevin Jou 78 49 0 09 Jun 2021
Unsupervised Automatic Speech Recognition: A Review Hanan Aldarmaki Asad Ullah Nazar Zaki VLM SSL 53 59 0 09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 113 118 0 09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 133 317 0 08 Jun 2021
Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang Yujun Shen Yinghao Xu Bolei Zhou 96 83 0 08 Jun 2021
A Survey of Transformers Tianyang Lin Yuxin Wang Xiangyang Liu Xipeng Qiu ViT 202 1,147 0 08 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 113 38 0 08 Jun 2021
Contrastive Representation Learning for Hand Shape Estimation Christiane Zimmermann Max Argus Thomas Brox 3DH SSL 91 41 0 08 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Zafeirios Fountas Karl J. Friston 82 20 0 08 Jun 2021
Interpretable agent communication from scratch (with a generic visual processor emerging on the side) Roberto Dessì Eugene Kharitonov Marco Baroni 93 28 0 08 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen Colin Wei Adrien Gaidon Tengyu Ma SSL 103 322 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 99 46 0 08 Jun 2021
Efficient Training of Visual Transformers with Small Datasets Yahui Liu E. Sangineto Wei Bi N. Sebe Bruno Lepri Marco De Nadai ViT 75 174 0 07 Jun 2021
Incremental False Negative Detection for Contrastive Learning Tsai-Shien Chen Wei-Chih Hung Hung-Yu Tseng Shao-Yi Chien Ming-Hsuan Yang SSL CLL 91 62 0 07 Jun 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip Torr UQCV 125 91 0 06 Jun 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence Sunghwan Hong Seungryong Kim 98 29 0 06 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 68 12 0 06 Jun 2021
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph Mengying Sun Jing Xing Huijun Wang Bin Chen Jiayu Zhou 156 121 0 05 Jun 2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu Ling Shao CML 134 128 0 05 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 103 9 0 05 Jun 2021
InDiD: Instant Disorder Detection via Representation Learning Evgenia Romanenkova Alexander Stepikin Matvey Morozov Alexey Zaytsev AI4TS 81 6 0 04 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 74 27 0 04 Jun 2021
Anticipative Video Transformer Rohit Girdhar Kristen Grauman ViT 78 212 0 03 Jun 2021
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories G. Isacchini Natanael Spisak Armita Nourmohammad T. Mora A. Walczak 86 0 0 03 Jun 2021
TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data Pengda Qin Yuhong Li Kefeng Deng Qiang Wu 30 1 0 03 Jun 2021
Noisy student-teacher training for robust keyword spotting Hyun-jin Park Pai Zhu Ignacio López Moreno Niranjan A. Subrahmanya NoLa 53 17 0 03 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 105 335 0 02 Jun 2021