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In the image domain, excellent representations can be learned by inducing invariance to content-preserving transformations via noise contrastive learning.
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Virginia R. de Sa · 1994
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Michael Gutmann and Aapo Hyvärinen · 2010
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Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso Poggio, and Thomas Serre · 2011
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Ishan Misra, C Lawrence Zitnick, and Martial Hebert · 2016
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Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Richard Zhang, Phillip Isola, and Alexei A Efros · 2017
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Deep clustering for unsupervised learning of visual features
Mathilde Caron, Piotr Bojanowski, Armand Joulin, and Matthijs Douze · 2018
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Unsupervised representation learning by predicting image rotations
Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
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Invariant information clustering for unsupervised image classification and segmentation, 2018
Xu Ji, João F. Henriques, and Andrea Vedaldi · 2018
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