Sylvain Gelly

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2005–2021

Best venue rank

Where they publish

Papers

34 indexed papers, newest first.

Year	Venue	Title	Authors
2021	CVPR	On Robustness and Transferability of Convolutional Neural Networks.	Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic
2021	ICLR	What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study.	Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphal Marinier, Lonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2021	ICLR	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.	Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
2021	ICLR	Scalable Transfer Learning with Expert Models.	Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cdric Renggli, Andr Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
2020	AAAI	Google Research Football: A Novel Reinforcement Learning Environment.	Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2020	AAAI	A Commentary on the Unsupervised Learning of Disentangled Representations.	Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem
2020	AISTATS	Precision-Recall Curves Using Information Divergence Frontiers.	Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly
2020	CVPR	Self-Supervised Learning of Video-Induced Visual Invariances.	Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic
2020	ECCV	Big Transfer (BiT): General Visual Representation Learning.	Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby
2020	ICLR	On Mutual Information Maximization for Representation Learning.	Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic
2019	COLT	When can unlabeled data improve the learning rate?	Christina Gpfert, Shai Ben-David, Olivier Bousquet, Sylvain Gelly, Ilya O. Tolstikhin, Ruth Urner
2019	ICLR	On Self Modulation for Generative Adversarial Networks.	Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly
2019	ICLR	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.	Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem
2019	ICLR	Episodic Curiosity through Reachability.	Nikolay Savinov, Anton Raichuk, Damien Vincent, Raphal Marinier, Marc Pollefeys, Timothy P. Lillicrap, Sylvain Gelly
2019	ICLR	FVD: A new Metric for Video Generation.	Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphal Marinier, Marcin Michalski, Sylvain Gelly
2019	ICML	Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities.	Octavian Ganea, Sylvain Gelly, Gary Bcigneul, Aliaksei Severyn
2019	ICML	Parameter-Efficient Transfer Learning for NLP.	Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
2019	ICML	A Large-Scale Study on Regularization and Normalization in GANs.	Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
2019	ICML	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.	Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem
2019	ICML	High-Fidelity Image Generation With Fewer Labels.	Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly
2018	ICLR	Clustering Meets Implicit Generative Models.	Francesco Locatello, Damien Vincent, Ilya O. Tolstikhin, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf
2018	ICLR	Wasserstein Auto-Encoders.	Ilya O. Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schlkopf
2009	EUROGP	A Statistical Learning Perspective of Genetic Programming.	Nur Merve Amil, Nicolas Bredche, Christian Gagn, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud
2008	AAAI	Achieving Master Level Play in 9 x 9 Computer Go.	Sylvain Gelly, David Silver
2008	ICINCO	The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning.	Sylvain Gelly, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Y. Kalemkarian
2007	GECCO	DCMA: yet another derandomization in covariance-matrix-adaptation.	Olivier Teytaud, Sylvain Gelly
2007	ICINCO	Nonlinear programming in approximate dynamic programming - bang-bang solutions, stock-management and unsmooth penalties.	Olivier Teytaud, Sylvain Gelly
2007	ICINCO	Active learning in regression, with application to stochastic dynamic programming.	Olivier Teytaud, Sylvain Gelly, Jrmie Mary
2007	ICML	Combining online and offline knowledge in UCT.	Sylvain Gelly, David Silver
2006	CEC	Resource-Aware Parameterizations of EDA.	Sylvain Gelly, Olivier Teytaud, Christian Gagn
2006	ESANN	Learning for stochastic dynamic programming.	Sylvain Gelly, Jrmie Mary, Olivier Teytaud
2006	PPSN	General Lower Bounds for Evolutionary Algorithms.	Olivier Teytaud, Sylvain Gelly
2006	PPSN	On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy.	Olivier Teytaud, Sylvain Gelly, Jrmie Mary
2005	GECCO	A statistical learning theory approach of bloat.	Sylvain Gelly, Olivier Teytaud, Nicolas Bredche, Marc Schoenauer