Rémi Leblond - RankMe

17 papers A* 1A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Competition-Level Code Generation with AlphaCode. CoRR Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
2022	J	`jnl`	Continuous diffusion for categorical data. CoRR Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
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	—	`conf`	Machine Translation Decoding beyond Beam Search. EMNLP (1) Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	J	`jnl`	Machine Translation Decoding beyond Beam Search. CoRR Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2020	A*	`conf`	OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. ICML Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2019	J	`jnl`	Options as responses: Grounding behavioural hierarchies in multi-agent RL. CoRR Alexander Sasha Vezhnevets, Yuhuai Wu, Rémi Leblond, Joel Z. Leibo
2018	—	`—`	Asynchronous Optimization for Machine Learning. (Optimisation asynchrone pour l'apprentissage statistique). Rémi Leblond
2018	J	`jnl`	Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods. J. Mach. Learn. Res. Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
2018	J	`jnl`	Improved asynchronous parallel optimization analysis for stochastic incremental methods. CoRR Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
2018	—	`conf`	SEARNN: Training RNNs with global-local losses. ICLR (Poster) Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
2017	A	`conf`	ASAGA: Asynchronous Parallel SAGA. AISTATS Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
2017	—	`conf`	Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization. NIPS Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien
2017	J	`jnl`	Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization. CoRR Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien
2017	J	`jnl`	SEARNN: Training RNNs with Global-Local Losses. CoRR Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
2016	J	`jnl`	Asaga: Asynchronous Parallel Saga. CoRR Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien