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Contrastive learning (CL) is a popular technique for self-supervised learning (SSL) of visual representations.
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
Li Fei-Fei, Rob Fergus, and Pietro Perona · 2004
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Learning a similarity metric discriminatively, with application to face verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
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Automated flower classification over a large number of classes
M-E. Nilsback and A. Zisserman · 2008
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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Distance metric learning for large margin nearest neighbor classification
Kilian Q. Weinberger and Lawrence K. Saul · 2009
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
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Cats and dogs
O. M. Parkhi, A. Vedaldi, A. Zisserman, and C. V. Jawahar · 2012
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3d object representations for fine-grained categorization
Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei · 2013
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Fine-grained visual classification of aircraft
S. Maji, J. Kannala, E. Rahtu, M. Blaschko, and A. Vedaldi · 2013
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Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, , and A. Vedaldi · 2014
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Learning to see by moving
P. Agrawal, J. Carreira, and J. Malik · 2015
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Unsupervised visual representation learning by context prediction
Carl Doersch, Abhinav Gupta, and Alexei A. Efros · 2015
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Deepfool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard · 2015
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The limitations of deep learning in adversarial settings
Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami · 2015
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Deep face recognition
Omkar M. Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Discriminative learning of deep convolutional feature point descriptors
E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, and F. Moreno-Noguer · 2015
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Deep metric learning via lifted structured feature embedding
Hyun Oh Song, Yu Xiang, Stefanie Jegelka, and Silvio Savarese · 2015
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Unsupervised learning of visual representations using videos
X. Wang and A. Gupta · 2015
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David A. Wagner · 2016
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Unsupervised feature extraction by time-contrastive learning and nonlinear ica
Aapo Hyvärinen and Hiroshi Morioka · 2016
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Adversarial examples in the physical world
Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2016
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Adversarial machine learning at scale
Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2016
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Learning representations for automatic colorization
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
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Unsupervised learning using sequential verification for action recognition
Ishan Misra, C. Lawrence Zitnick, and Martial Hebert · 2016
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Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, and Pascal Frossard · 2016
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Unsupervised learning of visual representations by solving jigsaw puzzles
Mehdi Noroozi and Paolo Favaro · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, and Alexei A. Efros · 2016
Cited alongside, same era.
Improved deep metric learning with multi-class n-pair loss objective
Kihyuk Sohn · 2016
Cited alongside, same era.
Richard Zhang, Phillip Isola, and Alexei A. Efros · 2016
Cited alongside, same era.
Universal representations: The missing link between faces, text, planktons, and cat breeds
H. Bilen and A. Vedaldi · 2017
Cited alongside, same era.
Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Generalizing to unseen domains via adversarial data augmentation
Riccardo Volpi, Hongseok Namkoong, Ozan Sener, C. John Duchi, Vittorio Murino, and Silvio Savarese · 2018
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Unsupervised feature learning via non-parametric instance-level discrimination
Zhirong Wu, Yuanjun Xiong, Stella Yu, and Dahua Lin · 2018
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Practical adversarial attack against object detector
Yue Zhao, Hong Zhu, Qintao Shen, Ruigang Liang, Kai Chen, and Shengzhi Zhang · 2018
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A theoretical analysis of contrastive unsupervised representation learning
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Smart mining for deep metric learning
B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, and Tom Drummond · 2017
Cited alongside, same era.
Unsupervised representation learning by sorting sequences
Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2017
Cited alongside, same era.
Improvements to context based self-supervised learning
T. Nathan Mundhenk, Daniel Ho, and Barry Y. Chen · 2017
Cited alongside, same era.
Learning multiple visual domains with residual adapters
S-A. Rebuffi, H. Bilen, and A. Vedaldi · 2017
Cited alongside, same era.
Time-contrastive networks: Self-supervised learning from multi-view observation
Pierre Sermanet, Corey Lynch, Jasmine Hsu, and Sergey Levine · 2017
Cited alongside, same era.
Time-contrastive networks: Self-supervised learning from multi-view observation
Pierre Sermanet, Corey Lynch, Jasmine Hsu, and Sergey Levine · 2017
Cited alongside, same era.
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, and Kouichi Sakurai · 2017
Cited alongside, same era.
Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, and Nikunj Saunshi · 2019
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Video representation learning by dense predictive coding
Tengda Han, Weidi Xie, and Andrew Zisserman · 2019
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2019
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Adversarial examples are not bugs, they are features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, and Aleksander Madry · 2019
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Self-supervised visual feature learning with deep neural networks: A survey
Longlong Jing and Yingli Tian · 2019
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Transferable adversarial training: A general approach to adapting deep classifiers
Hong Liu, Mingsheng Long, Jianmin Wang, and Michael Jordan · 2019
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Virtual adversarial training: A regularization method for supervised and semi-supervised learning
T. Miyato, S. Maeda, M. Koyama, and S. Ishii · 2019
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Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, and Tom Goldstein · 2019
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Stochastic class-based hard example mining for deep metric learning
Yumin Suh, Bohyung Han, Wonsik Kim, and Kyoung Mu Lee · 2019
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Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2019
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Adversarial training and robustness for multiple perturbations
Florian Tramèr and Dan Boneh · 2019
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Adversarial examples improve image recognition
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, and Quoc V. Le · 2019
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Intriguing properties of adversarial training
Cihang Xie and Alan L. Yuille · 2019
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Unsupervised embedding learning via invariant and spreading instance feature
Mang Ye, Xu Zhang, Pong C. Yuen, and Shih-Fu Chang · 2019
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Theoretically principled trade-off between robustness and accuracy
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, and Michael I. Jordan · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
Closest in time.
Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan · 2020
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Adversarial vertex mixup: Toward better adversarially robust generalization
Saehyung Lee, Hyun-Gyu Lee, and Sungroh Yoon · 2020
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Self-supervised learning of pretext-invariant representations
Ishan Misra and Laurens van der Maaten · 2020
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A self-supervised approach for adversarial robustness
Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Fatih Porikli · 2020
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Audio-visual instance discrimination with cross-modal agreement
Ishan Misra Pedro Morgado, Nuno Vasconcelos · 2020
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On mutual information maximization for representation learning
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, and Mario Lucic · 2020
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Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, and J. Zico Kolter · 2020
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