Alert button
Picture for Sylvain Gelly

Sylvain Gelly

Alert button

Large Scale Learning of General Visual Representations for Transfer

Dec 24, 2019
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby

Figure 1 for Large Scale Learning of General Visual Representations for Transfer
Figure 2 for Large Scale Learning of General Visual Representations for Transfer
Figure 3 for Large Scale Learning of General Visual Representations for Transfer
Figure 4 for Large Scale Learning of General Visual Representations for Transfer
Viaarxiv icon

Self-Supervised Learning of Video-Induced Visual Invariances

Dec 05, 2019
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic

Figure 1 for Self-Supervised Learning of Video-Induced Visual Invariances
Figure 2 for Self-Supervised Learning of Video-Induced Visual Invariances
Figure 3 for Self-Supervised Learning of Video-Induced Visual Invariances
Figure 4 for Self-Supervised Learning of Video-Induced Visual Invariances
Viaarxiv icon

Semantic Bottleneck Scene Generation

Nov 26, 2019
Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic

Figure 1 for Semantic Bottleneck Scene Generation
Figure 2 for Semantic Bottleneck Scene Generation
Figure 3 for Semantic Bottleneck Scene Generation
Figure 4 for Semantic Bottleneck Scene Generation
Viaarxiv icon

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

Figure 1 for The Visual Task Adaptation Benchmark
Figure 2 for The Visual Task Adaptation Benchmark
Figure 3 for The Visual Task Adaptation Benchmark
Figure 4 for The Visual Task Adaptation Benchmark
Viaarxiv icon

On Mutual Information Maximization for Representation Learning

Jul 31, 2019
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic

Figure 1 for On Mutual Information Maximization for Representation Learning
Figure 2 for On Mutual Information Maximization for Representation Learning
Figure 3 for On Mutual Information Maximization for Representation Learning
Figure 4 for On Mutual Information Maximization for Representation Learning
Viaarxiv icon

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

Figure 1 for Google Research Football: A Novel Reinforcement Learning Environment
Figure 2 for Google Research Football: A Novel Reinforcement Learning Environment
Figure 3 for Google Research Football: A Novel Reinforcement Learning Environment
Figure 4 for Google Research Football: A Novel Reinforcement Learning Environment
Viaarxiv icon

MULEX: Disentangling Exploitation from Exploration in Deep RL

Jul 01, 2019
Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin

Figure 1 for MULEX: Disentangling Exploitation from Exploration in Deep RL
Figure 2 for MULEX: Disentangling Exploitation from Exploration in Deep RL
Figure 3 for MULEX: Disentangling Exploitation from Exploration in Deep RL
Figure 4 for MULEX: Disentangling Exploitation from Exploration in Deep RL
Viaarxiv icon

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

Figure 1 for Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Figure 2 for Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Figure 3 for Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Figure 4 for Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Viaarxiv icon

When can unlabeled data improve the learning rate?

May 28, 2019
Christina Göpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya Tolstikhin, Ruth Urner

Viaarxiv icon

Evaluating Generative Models Using Divergence Frontiers

May 26, 2019
Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly

Figure 1 for Evaluating Generative Models Using Divergence Frontiers
Figure 2 for Evaluating Generative Models Using Divergence Frontiers
Figure 3 for Evaluating Generative Models Using Divergence Frontiers
Figure 4 for Evaluating Generative Models Using Divergence Frontiers
Viaarxiv icon