Yoshua Bengio - Concepedia

Author

Yoshua Bengio

Also Known As

Aaron Courville, Bengio Y., Bengio Yoshua, Bengio, Emmanuel, Bengio, Y., Bengio, Yoshua, Briggs, Datonye, Christopher D. Manning, Conor McGurk, Courville, Aaron

1.3K

Publications

441.4K

Citations

183

H-Index

498

Concepts

All Affiliations

Université de Montréal Canadian Institute for Advanced Research Polytechnique Montréal McGill University

About

Yoshua Bengio is an author at Université de Montréal specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	141	477	253K
2	Business	22	24	11K
3	Health Sciences	18	28	2.6K
4	Education	10	10	376
5	Arts	2	2	48

Yoshua Bengio

632

Publications

307.3K

Citations

163

H-Index

Page 1

	Year	Citations
Gradient-based learning applied to document recognition Yann LeCun, Léon Bottou, Yoshua Bengio, Proceedings of the IEEE EngineeringMachine LearningMultilayer Neural NetworksImage AnalysisData Science	1998	56.5K
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho, Bart van Merriënboer, Çaǧlar Gülçehre, EngineeringMachine LearningRecurrent Neural NetworkLanguage ProcessingText Mining	2014	23.7K
Generative adversarial networks Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Communications of the ACM Artificial IntelligenceEngineeringMachine LearningData ScienceGenerative Adversarial Network	2020	12.7K
Understanding the difficulty of training deep feedforward neural networks Xavier Glorot, Yoshua Bengio	2010	12.6K
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Jun‐Young Chung, Çaǧlar Gülçehre, Kyunghyun Cho, arXiv (Cornell University) MusicStructured PredictionEngineeringMachine LearningSequential Learning	2014	10.7K
Learning long-term dependencies with gradient descent is difficult Yoshua Bengio, P. Simard, Paolo Frasconi IEEE Transactions on Neural Networks Structured PredictionGradient DescentEngineeringMachine LearningData Science	1994	8.3K
Graph Attention Networks Petar Veličković, Guillem Cucurull, Arantxa Casanova, arXiv (Cornell University) Graph Neural NetworkNetwork ScienceGraph TheoryData ScienceMachine Learning	2017	8.3K
Random search for hyper-parameter optimization James Bergstra, Yoshua Bengio	2012	7.9K
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Kelvin Xu, Jimmy Ba, Ryan Kiros, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNatural Language ProcessingMultimodal Llm	2015	7.5K
Extracting and composing robust features with denoising autoencoders Pascal Vincent, Hugo Larochelle, Yoshua Bengio, EngineeringMachine LearningAutoencodersRobust FeaturesRobust Feature	2008	7.2K

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