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What Makes for Good Views for Contrastive Learning?

20 May 2020

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Papers citing "What Makes for Good Views for Contrastive Learning?"

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Title
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervisionComputer Vision and Pattern Recognition (CVPR), 2021 Kieran A. Murphy Varun Jampani Srikumar Ramalingam A. Makadia 233 2 0 04 Mar 2021
Contrastive learning of strong-mixing continuous-time stochastic processesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Bingbin Liu Pradeep Ravikumar Andrej Risteski SSL 73 3 0 03 Mar 2021
LogME: Practical Assessment of Pre-trained Models for Transfer LearningInternational Conference on Machine Learning (ICML), 2021 Kaichao You Yong Liu Jianmin Wang Mingsheng Long 212 220 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 415 367 0 22 Feb 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretationMachine Learning in Health Care (MLHC), 2021 Yen Nhi Truong Vu Richard Wang N. Balachandar Can Liu A. Ng Pranav Rajpurkar 177 91 0 21 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 241 59 0 19 Feb 2021
Contrastive Learning Inverts the Data Generating ProcessInternational Conference on Machine Learning (ICML), 2021 Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 529 245 0 17 Feb 2021
Instance Localization for Self-supervised Detection PretrainingComputer Vision and Pattern Recognition (CVPR), 2021 Ceyuan Yang Zhirong Wu Bolei Zhou Stephen Lin ViT SSL 304 155 0 16 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-TuningNeural Information Processing Systems (NeurIPS), 2021 Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 180 74 0 12 Feb 2021
Self-Supervised Multisensor Change DetectionIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021 Sudipan Saha Patrick Ebel Xiaoxiang Zhu SSL 118 86 0 12 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Prachi Agrawal Han Yang Yongqiang Chen James Cheng 195 7 0 27 Jan 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end TrainingInternational Conference on Learning Representations (ICLR), 2021 Yulin Wang Zanlin Ni Shiji Song Le Yang Gao Huang 103 96 0 26 Jan 2021
Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning Anh-Vu Bui Trung Le He Zhao Paul Montague S. Çamtepe Dinh Q. Phung AAML 104 14 0 25 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning Huixiang Luo Hao Cheng Fanxu Meng Yuting Gao Ke Li Mengdan Zhang Xing Sun 102 8 0 19 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning Zeming Li Songtao Liu Jian Sun 549 16 0 19 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial EstimationInternational Conference on Learning Representations (ICLR), 2021 Alexandre Ramé Matthieu Cord FedML 143 57 0 14 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image GenerationComputer Vision and Pattern Recognition (CVPR), 2021 Han Zhang Jing Yu Koh Jason Baldridge Honglak Lee Yinfei Yang GAN 338 408 0 12 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-CloudIEEE International Conference on Computer Vision (ICCV), 2021 Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 326 310 0 07 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 91 58 0 26 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual Representations Chunyuan Li Xiujun Li Lei Zhang Baolin Peng Mingyuan Zhou Jianfeng Gao SSL 132 24 0 25 Dec 2020
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning Amy X. Lu Alex X. Lu Alan M. Moses SSL 172 16 0 25 Dec 2020
Adversarial Momentum-Contrastive Pre-TrainingPattern Recognition Letters (PR), 2020 Cong Xu Dan Li Min Yang SSL 161 16 0 24 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2020 Spyros Gidaris Andrei Bursuc Gilles Puy N. Komodakis Matthieu Cord P. Pérez SSL 180 80 0 21 Dec 2020
Addressing Feature Suppression in Unsupervised Visual RepresentationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Tianhong Li Lijie Fan Yuan. Yuan Hao He Yonglong Tian Rogerio Feris Piotr Indyk Dina Katabi SSL 270 16 0 17 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-ConsistencyInternational Conference on Learning Representations (ICLR), 2020 Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 131 68 0 17 Dec 2020
Understanding the Behaviour of Contrastive LossComputer Vision and Pattern Recognition (CVPR), 2020 Feng Wang Huaping Liu SSL 303 783 0 15 Dec 2020
Concept Generalization in Visual Representation LearningIEEE International Conference on Computer Vision (ICCV), 2020 Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 203 51 0 10 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik SSL 137 84 0 08 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 151 141 0 08 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning Haohang Xu Xiaopeng Zhang Hao Li Lingxi Xie H. Xiong Qi Tian SSL 116 12 0 04 Dec 2020
Multi-Label Contrastive Learning for Abstract Visual ReasoningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Mikolaj Malkiñski Jacek Mańdziuk 127 44 0 03 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 118 35 0 30 Nov 2020
Generalization in Reinforcement Learning by Soft Data AugmentationIEEE International Conference on Robotics and Automation (ICRA), 2020 Nicklas Hansen Xiaolong Wang OffRL 258 204 0 26 Nov 2020
How Well Do Self-Supervised Models Transfer?Computer Vision and Pattern Recognition (CVPR), 2020 Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 295 299 0 26 Nov 2020
A Unified Mixture-View Framework for Unsupervised Representation LearningBritish Machine Vision Conference (BMVC), 2020 Xiangxiang Chu Xiaohang Zhan Bo Zhang SSL 85 1 0 26 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative CancellationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 T. Huynh Simon Kornblith Matthew R. Walter Michael Maire M. Khademi SSL 195 197 0 23 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2020 Zhenda Xie Yutong Lin Zheng Zhang Yue Cao Stephen Lin Han Hu SSL 332 437 0 19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual RepresentationsIEEE transactions on multimedia (TMM), 2020 Xinyue Huo Lingxi Xie Longhui Wei Xiaopeng Zhang Hao Li Zijie Yang Wen-gang Zhou Houqiang Li Qi Tian SSL 113 13 0 19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2020 Xinlong Wang Rufeng Zhang Chunhua Shen Tao Kong Lei Li SSL 276 752 0 18 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?AAAI Conference on Artificial Intelligence (AAAI), 2020 Longhui Wei Lingxi Xie Jianzhong He Jianlong Chang Xiaopeng Zhang Wen-gang Zhou Houqiang Li Qi Tian SSL 98 26 0 17 Nov 2020
Combating the Instability of Mutual Information-based Losses via RegularizationConference on Uncertainty in Artificial Intelligence (UAI), 2020 Kwanghee Choi Siyeong Lee AAML 151 6 0 16 Nov 2020
Unsupervised Contrastive Learning of Sound Event RepresentationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Eduardo Fonseca Diego Ortego Kevin McGuinness Noel E. O'Connor Xavier Serra SSL 92 70 0 15 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 187 126 0 09 Nov 2020
Intriguing Properties of Contrastive Losses Ting Chen Calvin Luo Lala Li 154 189 0 05 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning Hao Li Xiaopeng Zhang H. Xiong 120 8 0 05 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing Texture Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Janit Anjaria Jonghyun Choi Abhinav Shrivastava Abhishek Sharma David Jacobs SSL 282 13 0 03 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 390 1,550 0 31 Oct 2020
CompRess: Self-Supervised Learning by Compressing RepresentationsNeural Information Processing Systems (NeurIPS), 2020 Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash SSL 147 96 0 28 Oct 2020
Graph Contrastive Learning with Adaptive AugmentationThe Web Conference (WWW), 2020 Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 264 1,274 0 27 Oct 2020
HarperValleyBank: A Domain-Specific Spoken Dialog Corpus Mike Wu J. Nafziger A. Scodary Andrew L. Maas 135 18 0 26 Oct 2020