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; et al. (CoRR, 2010)

Understanding the difficulty of training deep feedforward neural networks. - Xavier Glorot; Yoshua Bengio (AISTATS, 2010)

Large-Scale Learning of Embeddings with Reconstruction Sampling. - Yann N. Dauphin; Xavier Glorot; Yoshua Bengio (ICML, 2011)

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. - Xavier Glorot; Antoine Bordes; Yoshua Bengio (ICML, 2011)

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. - Salah Rifai; Pascal Vincent; Xavier Muller; Xavier Glorot; Yoshua Bengio (ICML, 2011)

Higher Order Contractive Auto-Encoder. - Salah Rifai; Grégoire Mesnil; Pascal Vincent; Xavier Muller; Yoshua Bengio; Yann N. Dauphin; Xavier Glorot (ECML/PKDD (2), 2011)

Adding noise to the input of a model trained with a regularized objective - Salah Rifai; Xavier Glorot; Yoshua Bengio; Pascal Vincent (CoRR, 2011)

Learning invariant features through local space contraction - Salah Rifai; Xavier Muller; Xavier Glorot; Grégoire Mesnil; Yoshua Bengio; Pascal Vincent (CoRR, 2011)

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (CoRR, 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; et al. (AISTATS, 2011)

Deep Sparse Rectifier Neural Networks. - Xavier Glorot; Antoine Bordes; Yoshua Bengio (AISTATS, 2011)

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (AISTATS, 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; et al. (ICML Unsupervised and Transfer Learning, 2012)

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization. - Grégoire Mesnil; Salah Rifai; Antoine Bordes; Xavier Glorot; Yoshua Bengio; Pascal Vincent (ICPRAM, 2013)

Unsupervised Learning of Semantics of Object Detections for Scene Categorization. - Grégoire Mesnil; Salah Rifai; Antoine Bordes; Xavier Glorot; Yoshua Bengio; Pascal Vincent (ICPRAM (Selected Papers), 2013)

A Semantic Matching Energy Function for Learning with Multi-relational Data - Xavier Glorot; Antoine Bordes; Jason Weston; Yoshua Bengio (ICLR (Workshop Poster), 2013)

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)

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; et al. (CoRR, 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)

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 (ICLR (Poster), 2017)

Learning to Prove from Synthetic Theorems. - Eser Aygün; Zafarali Ahmed; Ankit Anand; Vlad Firoiu; Xavier Glorot; Laurent Orseau; Doina Precup; Shibl Mourad (CoRR, 2020)

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)

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)

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 (ICML, 2022)