Yoshua Bengio
The Litlas record for Yoshua Bengio includes 996 papers and 532,737 citations.
- 996
- Papers
- 532,737
- Citations
- 200
- h-index
- 732
- i10-index
Citations
Citation sources
Countries
Réunion less than 0.1%、Guadeloupe less than 0.1% cannot be drawn at this map scale, so they are listed here instead.
Institutions
Fields
- Computer Science63.1%
- Engineering13.3%
- Medicine5.7%
- Neuroscience3%
- Biochemistry, Genetics and Molecular Biology2.8%
- Physics and Astronomy1.8%
- Other10.3%
Topics
- Topic Modeling4.2%
- Advanced Neural Network Applications3.2%
- Natural Language Processing Techniques2.8%
- Domain Adaptation and Few-Shot Learning2.6%
- Multimodal Machine Learning Applications2.2%
- Anomaly Detection Techniques and Applications1.9%
- Other83.1%
Coauthors
- Aaron C. Courville88
- Anirudh Goyal66
- Kyunghyun Cho42
- Pascal Vincent42
- Nikolay Malkin39
- Hugo Larochelle35
- Alex Lamb30
- Moksh Jain30
- Nan Rosemary Ke29
- Yann LeCun28
- Dinghuai Zhang25
- Tristan Deleu24
- Olivier Delalleau23
- Çaglar Gülçehre23
- Razvan Pascanu22
- Chris Pal21
- Emmanuel Bengio21
- Guillaume Lajoie20
- Bernhard Schölkopf19
- Dzmitry Bahdanau19
- Ian J. Goodfellow18
- James Bergstra18
- Minsu Kim18
- Renato de Mori18
Selected research
All papers
- Deep learning
Authors: Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton - Nature, Nat. 2015 cited by 85,135
- Gradient-based learning applied to document recognition
Authors: Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner - IEEE, Proc. IEEE 1998 cited by 59,921
- Generative Adversarial Networks
Authors: Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio - Communications of the ACM, Commun. ACM 2020 cited by 14,417
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Authors: Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio - Conference on Empirical Methods in Natural Language Processing (EMNLP) 2014 cited by 25,290
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Authors: Junyoung Chung, Çaglar Gülçehre, KyungHyun Cho, Yoshua Bengio - arXiv (Cornell University), CoRR 2014 cited by 10,801
- Graph Attention Networks
Authors: Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio - ICLR (Poster) 2018 cited by 27,465
- Neural Machine Translation by Jointly Learning to Align and Translate
Authors: Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio - ICLR 2015 cited by 14,772
- HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Authors: Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 cited by 2,416
- Proceedings of the 21st International Conference on Neural Information Processing Systems
Authors: Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou - 2008 cited by 4,491
- Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Authors: Yoshua Bengio, Nicholas Léonard, Aaron C. Courville - arXiv (Cornell University), CoRR 2013 cited by 2,992
- Curriculum learning
Authors: Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston - Conference on Machine Learning, ICML 2009 cited by 5,226
- Learning long-term dependencies with gradient descent is difficult
Authors: Yoshua Bengio, Patrice Y. Simard, Paolo Frasconi - IEEE Transactions on Neural Networks, IEEE Trans. Neural Networks 1994 cited by 8,685
- Extracting and composing robust features with denoising autoencoders
Authors: Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol - conference on Machine learning - ICML '08 2008 cited by 7,452
- Scientific discovery in the age of artificial intelligence
Authors: Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik - Nature, Nat. 2023 cited by 1,794
- Random Search for Hyper-Parameter Optimization
Authors: James Bergstra, Yoshua Bengio, Léon Bottou - http://jmlr.csail.mit.edu/papers/volume13/bergstra12a/bergstra12a.pdf, J. Mach. Learn. Res. 2012 cited by 7,930
- FitNets: Hints for Thin Deep Nets
Authors: Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, Yoshua Bengio - ICLR (Poster) 2015 cited by 2,352
- Understanding intermediate layers using linear classifier probes
Authors: Guillaume Alain, Yoshua Bengio - ICLR (Workshop) 2017 cited by 1,651
- NICE: Non-linear Independent Components Estimation
Authors: Laurent Dinh, David Krueger, Yoshua Bengio - http://arxiv.org/pdf/1410.8516.pdf, ICLR (Workshop) 2014 cited by 1,586
- Toward Causal Representation Learning
Authors: Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio - IEEE, Proc. IEEE 2021 cited by 1,149
- On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Authors: KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio - SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, SSST@EMNLP 2014 cited by 6,731
- SpeechBrain: A General-Purpose Speech Toolkit
Authors: Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio - arXiv (Cornell University), CoRR 2021 cited by 751
- Understanding the difficulty of training deep feedforward neural networks
Authors: Xavier Glorot, Yoshua Bengio - http://jmlr.csail.mit.edu/proceedings/papers/v9/glorot10a/glorot10a.pdf, AISTATS 2010 cited by 12,654
- Learning deep representations by mutual information estimation and maximization
Authors: R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio - ICLR 2019 cited by 3,037
- Improving and generalizing flow-based generative models with minibatch optimal transport
Authors: Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio - Trans. Mach. Learn. Res. 2024 cited by 358
