Yoshua Bengio

447.2k citations

412 papers · 192.7k indexed · 48 hit papers · h-index 98

Computer Vision and Pattern Recognition top 0.01%
- Generative Adversarial Networks and Image Synthesis 62
- Multimodal Machine Learning Applications 32
Artificial Intelligence top 0.01%
- Neural Networks and Applications 103
- Topic Modeling 57
- Domain Adaptation and Few-Shot Learning 57
- Natural Language Processing Techniques 51
- Machine Learning and Data Classification 33
- Speech Recognition and Synthesis 32
Signal Processing top 0.01%
Health Informatics top 0.01%
Media Technology top 0.01%

Co-authors: Yann LeCun Geoffrey E. Hinton Léon Bottou Patrick Haffner Aaron Courville Xavier Glorot Ian Goodfellow Pascal Vincent
Cited by: Computer Vision and Pattern Recognition Artificial Intelligence Signal Processing
Journals: Nature (2 papers)Science (2 papers)The Journal of Chemical Physics (1 paper)
Partner nations: Canada United States United Kingdom

In The Last Decade

Yoshua Bengio

398 papers receiving 184.5k citations

Hit Papers

15 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2022 Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
2021 Communications of the ACM
2021 Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
2021 Proceedings of the IEEE
2020 Communications of the ACM
2018 HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
2018 International Conference on Machine Learning
2018 IEEE Transactions on Emerging Topics in Computational Intelligence
2017 Jagiellonian University Repository (Jagiellonian University)
2017 PolyPublie (École Polytechnique de Montréal)
2016 arXiv (Cornell University)
2016 Medical Image Analysis
2016 MIT Press eBooks
2015 Research at the University of Copenhagen (University of Copenhagen)
2015 arXiv (Cornell University)
2015 Nature
2015 On Using Very Large Target Vocabulary for Neural Machine Translation
2014 arXiv (Cornell University)
2014 arXiv (Cornell University)
2014 International Conference on Learning Representations
2013 Machine Learning
2013 Maxout Networks
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence
2012 Random search for hyper-parameter optimization
2011 International Conference on Machine Learning
2011 International Conference on Machine Learning
2010 Proceedings of the Python in Science Conferences
2010 Journal of Machine Learning Research
2010 Journal of Machine Learning Research
2010 Meeting of the Association for Computational Linguistics
2010 Journal of Machine Learning Research
2009 Journal of Machine Learning Research
2009 Curriculum learning
2009 Learning Deep Architectures for AI
2009 now publishers, Inc. eBooks
2008 Proceedings of the 21st International Conference on Neural Information Processing Systems
2008 Classification using discriminative restricted Boltzmann machines
2008 Extracting and composing robust features with denoising autoencoders
2008 Neural Computation
2007 Scaling learning algorithms towards AI
2007 An empirical evaluation of deep architectures on problems with many factors of variation
2005 International Conference on Artificial Intelligence and Statistics
2004 Neural Information Processing Systems
2003 Journal of Machine Learning Research
2003 Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
2000 A Neural Probabilistic Language Model
1998 Proceedings of the IEEE
1994 IEEE Transactions on Neural Networks

Peers

Countries citing papers authored by Yoshua Bengio

Since Specialization

Citations

This map shows the geographic impact of Yoshua Bengio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yoshua Bengio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshua Bengio more than expected).

Fields of papers citing papers by Yoshua Bengio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoshua Bengio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yoshua Bengio. The network helps show where Yoshua Bengio may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yoshua Bengio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yoshua Bengio Line = papers co-authored together Yoshua Bengio links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Government Interventions to Avert Future Catastrophic AI Risks SHILAP Revista de lepidopterología ·Yoshua Bengio	2024	4
2	Sources of richness and ineffability for phenomenally conscious states Neuroscience of Consciousness ·Mica Xu Ji,Eric Elmoznino,George Deane,Axel Constant,Guillaume Dumas,Guillaume Lajoie,Jonathan Simon,Yoshua Bengio	2024	5
3	Towards equilibrium molecular conformation generation with GFlowNets Digital Discovery ·Alexandra Volokhova,Michał Koziarski,Álex Hernández-García,Chenghao Liu,Santiago Miret,Pablo Lemos,Luca Thiede,Zichao Yan,Alán Aspuru‐Guzik,Yoshua Bengio	2024	0
4	Proactive Contact Tracing SHILAP Revista de lepidopterología ·Prateek Gupta,Tegan Maharaj,Martin Weiß,Nasim Rahaman,Hannah Alsdurf,Nanor Minoyan,Soren Harnois‐Leblanc,Joanna Merckx,Andrew Williams,Victor Schmidt,Pierre-Luc St-Charles,Akshay Patel,Yang Zhang,David L. Buckeridge,Christopher Pal,Bernhard Schölkopf,Yoshua Bengio	2023	7
5	Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information arXiv (Cornell University) ·Eric Larsen,Sébastien Lachapelle,Yoshua Bengio,Emma Frejinger,Simon Lacoste-Julien,Andrea Lodi	2022	21
6	Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives International Conference on Learning Representations ·Anirudh Goyal,Shagun Sodhani,Jonathan Binas,Xue Bin Peng,Sergey Levine,Yoshua Bengio	2020	2
7	Online continual learning with no task boundaries. arXiv (Cornell University) ·Rahaf Aljundi,Min Lin,Baptiste Goujaud,Yoshua Bengio	2019	13
8	HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringbreakdown → Zhilin Yang,Peng Qi,Saizheng Zhang,Yoshua Bengio,William W. Cohen,Ruslan Salakhutdinov,Christopher D. Manning	2018	732
9	FigureQA: An Annotated Figure Dataset for Visual Reasoning International Conference on Learning Representations ·Samira Ebrahimi Kahou,Adam Atkinson,Vincent Michalski,Ákos Kádár,Adam Trischler,Yoshua Bengio	2017	6
10	Deep Learningbreakdown → MIT Press eBooks ·Ian Goodfellow,Yoshua Bengio,Aaron Courville	2016	5794
11	Architectural Complexity Measures of Recurrent Neural Networks Neural Information Processing Systems ·Saizheng Zhang,Yuhuai Wu,Tong Che,Zhouhan Lin,Roland Memisevic,Russ R. Salakhutdinov,Yoshua Bengio	2016	16
12	On Using Very Large Target Vocabulary for Neural Machine Translationbreakdown → Sébastien Jean,Kyunghyun Cho,Roland Memisevic,Yoshua Bengio	2015	465
13	Marginalized Denoising Auto-encoders for Nonlinear Representations International Conference on Machine Learning ·Minmin Chen,Kilian Q. Weinberger,Fei Sha,Yoshua Bengio	2014	72
14	On Tracking The Partition Function Neural Information Processing Systems ·Guillaume Desjardins,Yoshua Bengio,Aaron Courville	2011	11
15	Contractive Auto-Encoders: Explicit Invariance During Feature Extractionbreakdown → International Conference on Machine Learning ·Salah Rifai,Pascal Vincent,Xavier Muller,Xavier Glorot,Yoshua Bengio	2011	675
16	Unsupervised Models of Images by Spike-and-Slab RBMs International Conference on Machine Learning ·Yoshua Bengio,Aaron Courville,James Bergstra	2011	38
17	Shallow vs. Deep Sum-Product Networks Neural Information Processing Systems ·Olivier Delalleau,Yoshua Bengio	2011	122
18	Training Methods for Adaptive Boosting of Neural Networks Neural Information Processing Systems ·Holger Schwenk,Yoshua Bengio	1997	28
19	On the generalization capability of multi-layered networks in the extraction of speech properties Renato De Mori,Yoshua Bengio,Piero Cosi	1989	2
20	A Neural Network to Detect Homologies in Proteins Neural Information Processing Systems ·Yoshua Bengio,Samy Bengio,Yannick Pouliot,Patrick Agin	1989	1

About Yoshua Bengio

Yoshua Bengio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 412 papers that have together received 192.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (103 papers), Generative Adversarial Networks and Image Synthesis (62 papers), Topic Modeling (57 papers), Domain Adaptation and Few-Shot Learning (57 papers), Natural Language Processing Techniques (51 papers), Machine Learning and Data Classification (33 papers), Speech Recognition and Synthesis (32 papers) and Multimodal Machine Learning Applications (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (61.3k citations), Artificial Intelligence (80.5k citations) and Signal Processing (15.1k citations). Yoshua Bengio has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Yann LeCun, Geoffrey E. Hinton, Léon Bottou, Patrick Haffner, Aaron Courville, Xavier Glorot, Ian Goodfellow, Pascal Vincent, James Bergstra and Hugo Larochelle. Their work appears in journals such as Nature, Science and The Journal of Chemical Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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