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2020 – today
- 2022
[c14]Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot
, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad:
Proving Theorems using Incremental Learning and Hindsight Experience Replay. ICML 2022: 1198-1210- 2021
- [i9]Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad:
Training a First-Order Theorem Prover from Synthetic Data. CoRR abs/2103.03798 (2021) - [i8]Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad:
Proving Theorems using Incremental Learning and Hindsight Experience Replay. CoRR abs/2112.10664 (2021) - 2020
- [i7]Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad:
Learning to Prove from Synthetic Theorems. CoRR abs/2006.11259 (2020)
2010 – 2019
- 2017
- [c13]Irina Higgins, Loïc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, Alexander Lerchner:
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. ICLR (Poster) 2017 - 2016
- [i6]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i5]Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner:
Early Visual Concept Learning with Unsupervised Deep Learning. CoRR abs/1606.05579 (2016) - 2014
- [j1]Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio:
A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation. Mach. Learn. 94(2): 233-259 (2014) - 2013
- [c12]Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent:
Unsupervised Learning of Semantics of Object Detections for Scene Categorization. ICPRAM (Selected Papers) 2013: 209-224 - [c11]Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent:
Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization. ICPRAM 2013: 345-354 - [c10]Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio:
A Semantic Matching Energy Function for Learning with Multi-relational Data. ICLR (Workshop Poster) 2013 - 2012
- [c9]Grégoire Mesnil, Yann N. Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J. Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron C. Courville, James Bergstra:
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. ICML Unsupervised and Transfer Learning 2012: 97-110 - [c8]Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio:
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. AISTATS 2012: 127-135 - 2011
- [c7]Xavier Glorot, Antoine Bordes, Yoshua Bengio:
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. ICML 2011: 513-520 - [c6]Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio:
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. ICML 2011: 833-840 - [c5]Yann N. Dauphin, Xavier Glorot, Yoshua Bengio:
Large-Scale Learning of Embeddings with Reconstruction Sampling. ICML 2011: 945-952 - [c4]Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann N. Dauphin, Xavier Glorot:
Higher Order Contractive Auto-Encoder. ECML/PKDD (2) 2011: 645-660 - [c3]Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cissé, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard:
Deep Learners Benefit More from Out-of-Distribution Examples. AISTATS 2011: 164-172 - [c2]Xavier Glorot, Antoine Bordes, Yoshua Bengio:
Deep Sparse Rectifier Neural Networks. AISTATS 2011: 315-323 - [i4]Salah Rifai, Xavier Glorot, Yoshua Bengio, Pascal Vincent:
Adding noise to the input of a model trained with a regularized objective. CoRR abs/1104.3250 (2011) - [i3]Salah Rifai, Xavier Muller, Xavier Glorot, Grégoire Mesnil, Yoshua Bengio, Pascal Vincent:
Learning invariant features through local space contraction. CoRR abs/1104.4153 (2011) - [i2]Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio:
Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings. CoRR abs/1107.3663 (2011) - 2010
- [c1]Xavier Glorot, Yoshua Bengio:
Understanding the difficulty of training deep feedforward neural networks. AISTATS 2010: 249-256 - [i1]Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cissé, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard:
Deep Self-Taught Learning for Handwritten Character Recognition. CoRR abs/1009.3589 (2010)
Coauthor Index
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