Diet networks: thin parameters for fat genomics A Romero, PL Carrier, A Erraqabi, T Sylvain, A Auvolat, E Dejoie, ...
arXiv preprint arXiv:1611.09340, 2016
56 2016 Image segmentation by iterative inference from conditional score estimation A Romero, M Drozdzal, A Erraqabi, S Jégou, Y Bengio
arXiv preprint arXiv:1705.07450, 2017
15 2017 Trading off rewards and errors in multi-armed bandits A Erraqabi, A Lazaric, M Valko, E Brunskill, YE Liu
Artificial Intelligence and Statistics, 709-717, 2017
14 2017 A3t: Adversarially augmented adversarial training A Erraqabi, A Baratin, Y Bengio, S Lacoste-Julien
arXiv preprint arXiv:1801.04055, 2018
10 2018 Pliable rejection sampling A Erraqabi, M Valko, A Carpentier, O Maillard
International Conference on Machine Learning, 2121-2129, 2016
7 2016 On random weights for texture generation in one layer CNNS M Mongia, K Kumar, A Erraqabi, Y Bengio
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
6 2017 Exploration-Driven Representation Learning in Reinforcement Learning A Erraqabi, M Zhao, MC Machado, Y Bengio, S Sukhbaatar, L Denoyer, ...
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
3 2021 On random weights for texture generation in one layer neural networks M Mongia, K Kumar, A Erraqabi, Y Bengio
arXiv preprint arXiv:1612.06070, 2016
3 2016 Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL A Erraqabi, MC Machado, M Zhao, S Sukhbaatar, A Lazaric, L Denoyer, ...
arXiv preprint arXiv:2203.11369, 2022
2022 Flexible Learning of Sparse Neural Networks via Constrained J Gallego-Posada, JR De Los Rios, A Erraqabi
NeurIPS 2021 Workshop LatinX in AI, 2021
2021 Rewards and errors in multi-arm bandits for interactive education A Erraqabi, A Lazaric, M Valko, E Brunskill
Challenges in Machine Learning: Gaming and Education workshop at Neural …, 2016
2016 