Xavier Glorot

According to our database1, Xavier Glorot authored at least 19 papers between 2010 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Early Visual Concept Learning with Unsupervised Deep Learning.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

2014
A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation.
Machine Learning, 2014

2013
A Semantic Matching Energy Function for Learning with Multi-relational Data
CoRR, 2013

Unsupervised Learning of Semantics of Object Detections for Scene Categorization.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization.
Proceedings of the ICPRAM 2013, 2013

2012
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Deep Sparse Rectifier Neural Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Deep Learners Benefit More from Out-of-Distribution Examples.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings
CoRR, 2011

Learning invariant features through local space contraction
CoRR, 2011

Adding noise to the input of a model trained with a regularized objective
CoRR, 2011

Higher Order Contractive Auto-Encoder.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction.
Proceedings of the 28th International Conference on Machine Learning, 2011

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach.
Proceedings of the 28th International Conference on Machine Learning, 2011

Large-Scale Learning of Embeddings with Reconstruction Sampling.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Understanding the difficulty of training deep feedforward neural networks.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Deep Self-Taught Learning for Handwritten Character Recognition
CoRR, 2010


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