Alexandre Lacoste
Alexandre Lacoste
Research Scientist, Element AI
Verified email at elementai.com
Title
Cited by
Cited by
Year
Tadam: Task dependent adaptive metric for improved few-shot learning
BN Oreshkin, P Rodriguez, A Lacoste
arXiv preprint arXiv:1805.10123, 2018
4362018
Neural autoregressive flows
CW Huang, D Krueger, A Lacoste, A Courville
International Conference on Machine Learning, 2078-2087, 2018
1972018
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
1802019
Coarse-to-fine question answering for long documents
E Choi, D Hewlett, J Uszkoreit, I Polosukhin, A Lacoste, J Berant
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
136*2017
Wikireading: A novel large-scale language understanding task over wikipedia
D Hewlett, A Lacoste, L Jones, I Polosukhin, A Fandrianto, J Han, ...
arXiv preprint arXiv:1608.03542, 2016
1192016
Pac-bayesian theory meets bayesian inference
P Germain, F Bach, A Lacoste, S Lacoste-Julien
arXiv preprint arXiv:1605.08636, 2016
902016
Learning heuristics for the tsp by policy gradient
M Deudon, P Cournut, A Lacoste, Y Adulyasak, LM Rousseau
International conference on the integration of constraint programming …, 2018
822018
A supervised classification algorithm for note onset detection
A Lacoste, D Eck
EURASIP Journal on Advances in Signal Processing 2007, 1-13, 2006
822006
Bayesian hypernetworks
D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville
arXiv preprint arXiv:1710.04759, 2017
782017
MHC-NP: predicting peptides naturally processed by the MHC
S Giguère, A Drouin, A Lacoste, M Marchand, J Corbeil, F Laviolette
Journal of immunological methods 400, 30-36, 2013
382013
Quantifying the carbon emissions of machine learning
A Lacoste, A Luccioni, V Schmidt, T Dandres
arXiv preprint arXiv:1910.09700, 2019
352019
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
A Lacoste, F Laviolette, M Marchand
Journal of Machine Learning Research - Proceedings Track, 665-675, 2012
332012
Sequential model-based ensemble optimization
A Lacoste, H Larochelle, F Laviolette, M Marchand
arXiv preprint arXiv:1402.0796, 2014
282014
Agnostic Bayesian learning of ensembles
A Lacoste, M Marchand, F Laviolette, H Larochelle
International Conference on Machine Learning, 611-619, 2014
282014
A PAC-Bayes sample-compression approach to kernel methods
P Germain, A Lacoste, F Laviolette, M Marchand, S Shanian
ICML, 2011
252011
Onset detection with artificial neural networks for mirex 2005
A Lacoste, D Eck
Extended abstract of the 1st Annual Music Information Retrieval Evaluation …, 2005
252005
Deep prior
A Lacoste, T Boquet, N Rostamzadeh, B Oreshkin, W Chung, D Krueger
arXiv preprint arXiv:1712.05016, 2017
24*2017
Online fast adaptation and knowledge accumulation: a new approach to continual learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ...
arXiv preprint arXiv:2003.05856, 2020
22*2020
Improving explorability in variational inference with annealed variational objectives
CW Huang, S Tan, A Lacoste, A Courville
arXiv preprint arXiv:1809.01818, 2018
212018
Embedding propagation: Smoother manifold for few-shot classification
P Rodríguez, I Laradji, A Drouin, A Lacoste
European Conference on Computer Vision, 121-138, 2020
202020
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Articles 1–20