Tallec, Corentin

14 publications

ICML 2023 Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko

NeurIPS 2022 BYOL-Explore: Exploration by Bootstrapped Prediction Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Remi Munos, Mohammad Gheshlaghi Azar, Bilal Piot

NeurIPSW 2022 Curiosity in Hindsight Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko

ICLR 2022 Emergent Communication at Scale Rahma Chaabouni, Florian Strub, Florent Altché, Eugene Tarassov, Corentin Tallec, Elnaz Davoodi, Kory Wallace Mathewson, Olivier Tieleman, Angeliki Lazaridou, Bilal Piot

NeurIPS 2022 Emergent Communication: Generalization and Overfitting in Lewis Games Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub

ICLR 2022 Large-Scale Representation Learning on Graphs via Bootstrapping Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L Dyer, Remi Munos, Petar Veličković, Michal Valko

ICLRW 2021 Bootstrapped Representation Learning on Graphs Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Remi Munos, Petar Veličković, Michal Valko

ICCV 2021 Broaden Your Views for Self-Supervised Video Learning Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Pătrăucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

ICMLW 2021 Density-Based Bonuses on Learned Representations for Reward-Free Exploration in Deep Reinforcement Learning Omar Darwiche Domingues, Corentin Tallec, Remi Munos, Michal Valko

NeurIPS 2020 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Remi Munos, Michal Valko

ICML 2019 Making Deep Q-Learning Methods Robust to Time Discretization Corentin Tallec, Léonard Blier, Yann Ollivier

ICLR 2018 Can Recurrent Neural Networks Warp Time? Corentin Tallec, Yann Ollivier

ICML 2018 Mixed Batches and Symmetric Discriminators for GAN Training Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek

ICLR 2018 Unbiased Online Recurrent Optimization Corentin Tallec, Yann Ollivier