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SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size


Apr 09, 2021
Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai

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* 4 pages (10 pages including references and appendix), 10 figures. Accepted at the ICLR 2021 RobustML Workshop. arXiv admin note: text overlap with arXiv:2007.08558 

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Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark


Apr 06, 2021
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle

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A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation


Oct 27, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem

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* Journal of Machine Learning Research 2020, Volume 21, Number 209 
* arXiv admin note: substantial text overlap with arXiv:1811.12359 

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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale


Oct 22, 2020
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby

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* Fine-tuning code and pre-trained models are available at https://github.com/google-research/vision_transformer 

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Scalable Transfer Learning with Expert Models


Sep 28, 2020
Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cedric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby

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A Commentary on the Unsupervised Learning of Disentangled Representations


Jul 28, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem

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* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 (AAAI-20) 

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What Do Neural Networks Learn When Trained With Random Labels?


Jun 18, 2020
Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers

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What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study


Jun 10, 2020
Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk, Manu Orsini, Sertan Girgin, Raphael Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem

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Predicting Neural Network Accuracy from Weights


Feb 26, 2020
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya Tolstikhin

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On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation


Jan 22, 2020
Nicolas Brosse, Carlos Riquelme, Alice Martin, Sylvain Gelly, Éric Moulines

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