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Picture for Carlos Riquelme

Scaling Vision with Sparse Mixture of Experts


Jun 10, 2021
Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby

* 44 pages, 38 figures 

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Deep Ensembles for Low-Data Transfer Learning


Oct 19, 2020
Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby


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Which Model to Transfer? Finding the Needle in the Growing Haystack


Oct 13, 2020
Cedric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic


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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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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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The Visual Task Adaptation Benchmark


Oct 01, 2019
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby


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Google Research Football: A Novel Reinforcement Learning Environment


Jul 25, 2019
Karol Kurach, Anton Raichuk, Piotr Stańczyk, Michał Zając, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly


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Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates


Jun 19, 2019
Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy Mann, Andre Barreto, Sylvain Gelly, Gergely Neu


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Practical and Consistent Estimation of f-Divergences


May 27, 2019
Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya Tolstikhin


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Human Interaction with Recommendation Systems


Mar 28, 2018
Sven Schmit, Carlos Riquelme

* Accepted to AISTATS 2018 

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Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling


Feb 26, 2018
Carlos Riquelme, George Tucker, Jasper Snoek

* Sixth International Conference on Learning Representations, ICLR 2018 

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Active Learning for Accurate Estimation of Linear Models


Jul 29, 2017
Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric

* 37 pages, 8 figures, International Conference on Machine Learning, ICML 2017 

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Online Active Linear Regression via Thresholding


Dec 21, 2016
Carlos Riquelme, Ramesh Johari, Baosen Zhang

* Published in AAAI 2017 

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