Xavier Glorot

发表

Deep Sparse Rectifier Neural Networks

Yoshua Bengio, Antoine Bordes, Xavier Glorot, 2011, AISTATS.

Higher Order Contractive Auto-Encoder

Pascal Vincent, Yoshua Bengio, Yann Dauphin, 2011, ECML/PKDD.

Unsupervised Learning of Semantics of Object Detections for Scene Categorization

Pascal Vincent, Yoshua Bengio, Antoine Bordes, 2013, ICPRAM.

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

Jason Weston, Yoshua Bengio, Antoine Bordes, 2011, ArXiv.

Early Visual Concept Learning with Unsupervised Deep Learning pdf

Charles Blundell, Benigno Uria, Shakir Mohamed, 2016, ArXiv.

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

Pascal Vincent, Yoshua Bengio, Salah Rifai, 2011, ArXiv.

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction

Pascal Vincent, Yoshua Bengio, Salah Rifai, 2011, ICML.

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Yoshua Bengio, Yann Dauphin, Aaron C. Courville, 2011, ICML Unsupervised and Transfer Learning.

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

Pascal Vincent, Yoshua Bengio, Antoine Bordes, 2013, ICPRAM.

Deep Learners Benefit More from Out-of-Distribution Examples

Razvan Pascanu, Yoshua Bengio, Dumitru Erhan, 2011, AISTATS.

Learning invariant features through local space contraction pdf

Pascal Vincent, Yoshua Bengio, Grégoire Mesnil, 2011, ArXiv.

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

Yoshua Bengio, Antoine Bordes, Xavier Glorot, 2011, ICML.

Clinically applicable deep learning for diagnosis and referral in retinal disease

Geraint Rees, Demis Hassabis, Olaf Ronneberger, 2018, Nature Medicine.

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

John Salvatier, Razvan Pascanu, Sina Honari, 2016, ArXiv.

Large-Scale Learning of Embeddings with Reconstruction Sampling

Yoshua Bengio, Yann Dauphin, Xavier Glorot, 2011, ICML.

Deep Self-Taught Learning for Handwritten Character Recognition pdf

Razvan Pascanu, Yoshua Bengio, Dumitru Erhan, 2010, ArXiv.

A semantic matching energy function for learning with multi-relational data

Jason Weston, Yoshua Bengio, Antoine Bordes, 2013, Machine Learning.

Learning to Prove from Synthetic Theorems pdf

Laurent Orseau, Doina Precup, Ankit Anand, 2020, ArXiv.

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

Christopher Burgess, Shakir Mohamed, Matthew Botvinick, 2016, ICLR 2016.

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

Jason Weston, Yoshua Bengio, Antoine Bordes, 2012, AISTATS.

Understanding the difficulty of training deep feedforward neural networks

Yoshua Bengio, Xavier Glorot, Xavier Glorot, 2010, AISTATS.

Proving Theorems using Incremental Learning and Hindsight Experience Replay pdf

Laurent Orseau, Doina Precup, Eser Aygun, 2021, ArXiv.

Training a First-Order Theorem Prover from Synthetic Data pdf

Laurent Orseau, Doina Precup, Lei Zhang, 2021, ArXiv.

Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study

Geraint Rees, Demis Hassabis, Shakir Mohamed, 2019 .

Sparse Rectifier Neural Networks

Xavier Glorot, Xavier Glorot, 2010 .