Xavier Glorot

According to our database, Xavier Glorot authored at least 24 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad

Proceedings of the International Conference on Machine Learning, 2022

2021

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

Training a First-Order Theorem Prover from Synthetic Data.

Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

2020

Learning to Prove from Synthetic Theorems.

Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad

CoRR, 2020

2017

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.

Irina Higgins, Loïc Matthey, Arka Pal, Christopher P. Burgess, Xavier Glorot, Matthew M. Botvinick, Shakir Mohamed, Alexander Lerchner

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Early Visual Concept Learning with Unsupervised Deep Learning.

Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner

CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.

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

CoRR, 2016

2014

A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation.

Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio

Mach. Learn., 2014

2013

A Semantic Matching Energy Function for Learning with Multi-relational Data

Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio

Proceedings of the 1st International Conference on Learning Representations, 2013

Unsupervised Learning of Semantics of Object Detections for Scene Categorization.

Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization.

Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent

Proceedings of the ICPRAM 2013, 2013

2012

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.

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

Proceedings of the Unsupervised and Transfer Learning, 2012

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing.

Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Deep Sparse Rectifier Neural Networks.

Xavier Glorot, Antoine Bordes, Yoshua Bengio

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Deep Learners Benefit More from Out-of-Distribution Examples.

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

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings

Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio

CoRR, 2011

Learning invariant features through local space contraction

Salah Rifai, Xavier Muller, Xavier Glorot, Grégoire Mesnil, Yoshua Bengio, Pascal Vincent

CoRR, 2011

Adding noise to the input of a model trained with a regularized objective

Salah Rifai, Xavier Glorot, Yoshua Bengio, Pascal Vincent

CoRR, 2011

Higher Order Contractive Auto-Encoder.

Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann N. Dauphin, Xavier Glorot

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction.

Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio

Proceedings of the 28th International Conference on Machine Learning, 2011

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach.

Xavier Glorot, Antoine Bordes, Yoshua Bengio

Proceedings of the 28th International Conference on Machine Learning, 2011

Large-Scale Learning of Embeddings with Reconstruction Sampling.

Yann N. Dauphin, Xavier Glorot, Yoshua Bengio

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Understanding the difficulty of training deep feedforward neural networks.

Xavier Glorot, Yoshua Bengio

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Deep Self-Taught Learning for Handwritten Character Recognition

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

CoRR, 2010