Y
Yoshua Bengio
Researcher at Université de Montréal
Publications - 1146
Citations - 534376
Yoshua Bengio is an academic researcher from Université de Montréal. The author has contributed to research in topics: Artificial neural network & Deep learning. The author has an hindex of 202, co-authored 1033 publications receiving 420313 citations. Previous affiliations of Yoshua Bengio include McGill University & Centre de Recherches Mathématiques.
Papers
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Proceedings ArticleDOI
Temporal pooling and multiscale learning for automatic annotation and ranking of music audio
TL;DR: This paper analyzes some of the challenges in performing automatic annotation and ranking of music audio, and proposes a few improvements, including the use of principal component analysis on the mel-scaled spectrum and the idea of multiscale learning.
Journal Article
Deep sparse rectifier neural networks
TL;DR: This article showed that rectifying neurons are an even better model of biological neurons and yield equal or better performance than hyperbolic tangent networks in spite of the hard nonlinearity and non-dierentiabil ity.
Proceedings Article
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou,Adam Atkinson,Vincent Michalski,Ákos Kádár,Adam Trischler,Yoshua Bengio +5 more
TL;DR: FigureQA is envisioned as a first step towards developing models that can intuitively recognize patterns from visual representations of data, and preliminary results indicate that the task poses a significant machine learning challenge.
Posted Content
Learning Neural Causal Models from Unknown Interventions.
Nan Rosemary Ke,Olexa Bilaniuk,Anirudh Goyal,Stephan Bauer,Hugol Larochelle,Chris Pal,Yoshua Bengio +6 more
TL;DR: This paper provides a general framework based on continuous optimization and neural networks to create models for the combination of observational and interventional data and establishes strong benchmark results on several structure learning tasks.