Articles with public access mandates - Alexandre LacosteLearn more
Available somewhere: 7
Tadam: Task dependent adaptive metric for improved few-shot learning
B Oreshkin, P Rodríguez López, A Lacoste
Advances in neural information processing systems 31, 2018
Mandates: Government of Spain
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022
Mandates: US National Science Foundation, US Department of Energy, Natural Sciences …
Online fast adaptation and knowledge accumulation (osaka): a new approach to continual learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, ...
Advances in Neural Information Processing Systems 33, 16532-16545, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA
S Lachapelle, P Rodriguez, Y Sharma, KE Everett, R Le Priol, A Lacoste, ...
Conference on Causal Learning and Reasoning, 428-484, 2022
Mandates: Federal Ministry of Education and Research, Germany
Synbols: Probing learning algorithms with synthetic datasets
A Lacoste, P Rodríguez López, F Branchaud-Charron, P Atighehchian, ...
Advances in Neural Information Processing Systems 33, 134-146, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Mastering the unsupervised reinforcement learning benchmark from pixels
S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ...
International Conference on Machine Learning, 28598-28617, 2023
Mandates: Research Foundation (Flanders)
Explaining Visual Counterfactual Explainers
D Velazquez, P Rodriguez, A Lacoste, IH Laradji, X Roca, J Gonzàlez
Transactions on Machine Learning Research, 2023
Mandates: Government of Spain
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