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Viewmaker Networks: Learning Views for Unsupervised Representation Learning

14 October 2020

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Papers citing "Viewmaker Networks: Learning Views for Unsupervised Representation Learning"

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Title
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases Senthil Purushwalkam Abhinav Gupta SSL 81 219 0 28 Jul 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 65 81 0 16 Jul 2020
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain Eugene Kharitonov M. Rivière Gabriel Synnaeve Lior Wolf Pierre-Emmanuel Mazaré Matthijs Douze Emmanuel Dupoux 129 118 0 02 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 354 1,754 0 29 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 264 4,098 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 398 6,837 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 69 251 0 13 Jun 2020
On Mutual Information in Contrastive Learning for Visual Representations Mike Wu Chengxu Zhuang Milan Mossé Daniel L. K. Yamins Noah D. Goodman SSL 60 85 0 27 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 116 1,335 0 20 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 498 3,443 0 09 Mar 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning Matthias Minderer Olivier Bachem N. Houlsby Michael Tschannen SSL 72 73 0 20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,866 0 13 Feb 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 94 82 0 02 Jan 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 76 198 0 24 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 108 1,458 0 04 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 547 42,591 0 03 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 258 3,502 0 30 Sep 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 130 544 0 04 Jul 2019
Adversarial Training Can Hurt Generalization Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang 82 243 0 14 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 174 2,409 0 13 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 142 205 0 06 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 195 1,477 0 03 Jun 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 73 404 0 14 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,802 0 13 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 100 597 0 01 May 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Daniel S. Park William Chan Yu Zhang Chung-Cheng Chiu Barret Zoph E. D. Cubuk Quoc V. Le VLM 177 3,469 0 18 Apr 2019
Speech Model Pre-training for End-to-End Spoken Language Understanding Loren Lugosch Mirco Ravanelli Patrick Ignoto Vikrant Singh Tomar Yoshua Bengio SyDa AuLLM 70 355 0 07 Apr 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings Chengxu Zhuang Alex Zhai Daniel L. K. Yamins SSL 95 447 0 29 Mar 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,452 0 28 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 151 619 0 07 Mar 2019
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks Christopher Bowles Liang Chen Ricardo Guerrero P. Bentley R. Gunn A. Hammers D. A. Dickie M. V. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert GAN MedIm 72 428 0 25 Oct 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,356 0 10 Jul 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 122 786 0 30 May 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 135 1,775 0 24 May 2018
Adversarial Contrastive Estimation A. Bose Huan Ling Yanshuai Cao 47 56 0 09 May 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 97 1,626 0 09 Apr 2018
Tempered Adversarial Networks Mehdi S. M. Sajjadi Giambattista Parascandolo Arash Mehrjou Bernhard Schölkopf GAN 51 28 0 12 Feb 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 113 969 0 29 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu Basel Alomair GAN AAML 115 899 0 08 Jan 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 82 2,793 0 13 Dec 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 140 1,073 0 12 Nov 2017
A Bayesian Data Augmentation Approach for Learning Deep Models Toan M. Tran Trung T. Pham G. Carneiro L. Palmer Ian Reid 65 233 0 29 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 70 350 0 06 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,926 0 25 Aug 2017
VoxCeleb: a large-scale speaker identification dataset Arsha Nagrani Joon Son Chung Andrew Zisserman 127 2,282 0 26 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 151 2,738 0 13 Apr 2017
Dataset Augmentation in Feature Space Terrance Devries Graham W. Taylor 64 427 0 17 Feb 2017