Glorot, Xavier

12 publications

ICML 2022 Proving Theorems Using Incremental Learning and Hindsight Experience Replay Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen M Mcaleer, Vlad Firoiu, Lei M Zhang, Doina Precup, Shibl Mourad

ICLR 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

MLJ 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

ICLR 2013 A Semantic Matching Energy Function for Learning with Multi-Relational Data Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio

AISTATS 2012 Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio

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

AISTATS 2011 Deep Learners Benefit More from Out-of-Distribution Examples Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger–Lewandowski, Thomas Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard

AISTATS 2011 Deep Sparse Rectifier Neural Networks Xavier Glorot, Antoine Bordes, Yoshua Bengio

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

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

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

AISTATS 2010 Understanding the Difficulty of Training Deep Feedforward Neural Networks Xavier Glorot, Yoshua Bengio