Corentin Tallec

27 papers A* 9Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments. ICML Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
2022	A*	`conf`	BYOL-Explore: Exploration by Bootstrapped Prediction. NeurIPS Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Ávila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
2022	J	`jnl`	BYOL-Explore: Exploration by Bootstrapped Prediction. CoRR Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Ávila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
2022	J	`jnl`	Curiosity in hindsight. CoRR Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
2022	A*	`conf`	Emergent Communication at Scale. ICLR Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot
2022	A*	`conf`	Emergent Communication: Generalization and Overfitting in Lewis Games. NeurIPS Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022	J	`jnl`	Emergent Communication: Generalization and Overfitting in Lewis Games. CoRR Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
2022	A*	`conf`	Large-Scale Representation Learning on Graphs via Bootstrapping. ICLR Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rémi Munos, Petar Velickovic, Michal Valko
2022	J	`jnl`	Self-conditioned Embedding Diffusion for Text Generation. CoRR Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond
2021	J	`jnl`	Bootstrapped Representation Learning on Graphs. CoRR Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Velickovic, Michal Valko
2021	A*	`conf`	Broaden Your Views for Self-Supervised Video Learning. ICCV Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
2021	J	`jnl`	Broaden Your Views for Self-Supervised Video Learning. CoRR Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
2021	J	`jnl`	Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint. CoRR Léonard Blier, Corentin Tallec, Yann Ollivier
2021	J	`jnl`	Shaking the foundations: delusions in sequence models for interaction and control. CoRR Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Pérolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott E. Reed, Marcus Hutter, Nando de Freitas, Shane Legg
2020	J	`jnl`	BYOL works even without batch statistics. CoRR Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel L. Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko
2020	A*	`conf`	Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. NeurIPS Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
2020	J	`jnl`	Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. CoRR Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
2019	A*	`conf`	Making Deep Q-learning methods robust to time discretization. ICML Corentin Tallec, Léonard Blier, Yann Ollivier
2019	J	`jnl`	Making Deep Q-learning methods robust to time discretization. CoRR Corentin Tallec, Léonard Blier, Yann Ollivier
2019	—	`—`	Recurrent Neural Networks and Reinforcement Learning: Dynamic Approaches. (Réseaux Récurrents et Apprentissage par Renforcement: Approches Dynamiques). Corentin Tallec
2018	—	`conf`	Can recurrent neural networks warp time? ICLR (Poster) Corentin Tallec, Yann Ollivier
2018	J	`jnl`	Can recurrent neural networks warp time? CoRR Corentin Tallec, Yann Ollivier
2018	A*	`conf`	Mixed batches and symmetric discriminators for GAN training. ICML Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek
2018	J	`jnl`	Mixed batches and symmetric discriminators for GAN training. CoRR Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier
2018	—	`conf`	Unbiased Online Recurrent Optimization. ICLR (Poster) Corentin Tallec, Yann Ollivier
2017	J	`jnl`	Unbiased Online Recurrent Optimization. CoRR Corentin Tallec, Yann Ollivier
2017	J	`jnl`	Unbiasing Truncated Backpropagation Through Time. CoRR Corentin Tallec, Yann Ollivier