Yoshua Bengio

Yoshua Bengio is a person.

• See: Brown Word-Hierarchy Cluster, Deep Learning, Restricted Boltzmann Machine, Stacked Denoising Autoencoder.

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References

• Professional Homepage: http://www.iro.umontreal.ca/~bengioy/
• Google Scholar Author Page: http://scholar.google.com/citations?user=kukA0LcAAAAJ
• GM-RKB Author Publication List: https://GMRKB.com/Special:SearchByProperty/:Author/Yoshua-20Bengio

2024

• (Bengio, Hinton et al., 2024) ⇒ Yoshua Bengio, Geoffrey Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Trevor Darrell, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atılım Güneş Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca Dragan, Philip Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, and Sören Mindermann. (2024). “Managing Extreme AI Risks Amid Rapid Progress.” In: Science. 10.1126/science.adn0117 doi: 10.1126/science.adn0117

2018

• (Gulcehre et al., 2018) ⇒ Caglar Gulcehre, Sarath Chandar, Kyunghyun Cho, and Yoshua Bengio. (2018). “Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes.” In: Neural Computation Journal, 30(4). ISBN:0899-7667 doi:10.1162/neco_a_01060
• (Yang et al., 2018) ⇒ Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, and Christopher D. Manning. (2018). “HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.” In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).

2017

• (Lin et al., 2017) ⇒ Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. (2017). “A Structured Self-attentive Sentence Embedding.” In: Proceedings of the 5th International Conference on Learning Representations (ICRL-2017).

2016

• (Goodfellow et al., 2016) ⇒ Ian J. Goodfellow, Yoshua Bengio, and Aaron Courville. (2015). “Deep Learning." ISBN:0262035618
• (Serban et al., 2016) ⇒ Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. (2016). “Building End-to-end Dialogue Systems Using Generative Hierarchical Neural Network Models.” In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence.
• (Bahdanau et al., 2016) ⇒ Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, and Yoshua Bengio. (2016). “End-to-end Attention-based Large Vocabulary Speech Recognition.” In: The Proceedings of the 2016 IEEE International Conference on acoustics, speech and signal processing (ICASSP), pp. 4945-4949 . IEEE,
• (Chung et al., 2016) ⇒ Junyoung Chung, Kyunghyun Cho, and Yoshua Bengio. (2016). “A Character-level Decoder Without Explicit Segmentation for Neural Machine Translation.” In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016).

2015

• (Xu et al., 2015) ⇒ Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. (2015). “Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.” In: Proceedings of the International Conference on Machine Learning, pp. 2048-2057.
• (Sordoni et al., 2015) ⇒ Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, and Jian-Yun Nie. (2015). “A Hierarchical Recurrent Encoder-decoder for Generative Context-aware Query Suggestion.” In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 553-562 . ACM,
• (Bahdanau et al., 2015) ⇒ Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. (2015). “Neural Machine Translation by Jointly Learning to Align and Translate.” In: Proceedings of International Conference on Learning Representations (ICLR-2015)
• (Mesnil et al., 2015) ⇒ Grégoire Mesnil, Yann Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tur, Xiaodong He, Larry Heck, Gokhan Tur, Dong Yu, and Geoffrey Zweig. (2015). “Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding.” In: IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) Journal, 23(3). doi:10.1109/TASLP.2014.2383614
• (Chorowski et al., 2015) ⇒ Jan K. Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio. (2015). “Attention-based Models for Speech Recognition.” In: Advances in Neural Information Processing Systems, pp. 577-585.

2014

• (Cho et al., 2014) ⇒ Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. (2014). “Learning Phrase Representations Using {RNN} Encoder-Decoder for Statistical Machine Translation.” In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, (EMNLP-2014)
• (Goodfellow et al., 2014) ⇒ Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. (2014). “Generative Adversarial Nets.” In: Advances in Neural Information Processing Systems.
• (Dauphin et al., 2014) ⇒ Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio. (2014). “Identifying and Attacking the Saddle Point Problem in High-dimensional Non-convex Optimization.” In: Proceedings of the 27th International Conference on Neural Information Processing Systems.
• (Yosinski et al., 2014) ⇒ Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. (2014). “How Transferable Are Features in Deep Neural Networks?. ” In: Advances in Neural Information Processing Systems, pp. 3320-3328.
• (Chung et al., 2014) ⇒ Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. (2014). “Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.” In: Proceedings of the Deep Learning and Representation Learning Workshop at NIPS 2014.
• (Bahdanau et al., 2014) ⇒ Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. (2014). “Neural Machine Translation by Jointly Learning to Align and Translate.” arXiv preprint arXiv:1409.0473

2013

• (Bengio et al., 2013) ⇒ Yoshua Bengio, Aaron Courville, and Pascal Vincent. (2013). “Representation Learning: A Review and New Perspectives.” In: IEEE Transactions on Pattern Analysis and Machine Intelligence Journal, 35(8). doi:10.1109/TPAMI.2013.50
• (Bengio & Thibodeau-Laufer, 2013) ⇒ Yoshua Bengio, and Eric Thibodeau-Laufer. (2010). “Deep Generative Stochastic Networks Trainable by Backprop." arXiv preprint arXiv:1306.1091 (2013).
• (Mesnil et al., 2013) ⇒ Grégoire Mesnil, Xiaodong He, Li Deng, and Yoshua Bengio. (2013). “Investigation of Recurrent-neural-network Architectures and Learning Methods for Spoken Language Understanding.” In: Interspeech, pp. 3771-3775.

2012

• (Bergstra & Bengio, 2012) ⇒ James Bergstra, and Yoshua Bengio. (2012). “Random Search for Hyper-parameter Optimization.” In: The Journal of Machine Learning Research, 13(1).
• (Bordes et al., 2012) ⇒ Antoine Bordes, Xavier Glorot, Jason Weston, and Yoshua Bengio. (2012). “Joint Learning of Words and Meaning Representations for Open-text Semantic Parsing.” In: Artificial Intelligence and Statistics.

2011

• (Glorot et al., 2011a) ⇒ Xavier Glorot, Antoine Bordes, and Yoshua Bengio. (2011). “Domain Adaptation for Large-scale Sentiment Classification: A Deep Learning Approach.” In: Proceedings of the 28th International Conference on Machine Learning (ICML-11).
• (Glorot et al., 2011b) ⇒ Xavier Glorot, Antoine Bordes, and Yoshua Bengio. (2011). “Deep Sparse Rectifier Networks.” In: Proceedings of the 14th International Conference on Artificial Intelligence and Statistics

2010

• (Erhan et al., 2010) ⇒ Dumitru Erhan, Yoshua Bengio, Aaron Courville, Pierre-Antoine Manzagol, Pascal Vincent, and Samy Bengio. (2010). “Why Does Unsupervised Pre-training Help Deep Learning?.” In: The Journal of Machine Learning Research, 11.
• (Bergstra et al., 2010) ⇒ James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio. “Theano: a CPU and GPU math expression compiler.” In: Proceedings of the Python for scientific computing conference (SciPy).
• (Turian et al., 2010) ⇒ Joseph Turian, Lev Ratinov, and Yoshua Bengio. (2010). “Word Representations: A Simple and General Method for Semi-supervised Learning.” In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.
• (Vincent et al., 2010) ⇒ Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol. (2010). “Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion.” In: The Journal of Machine Learning Research, 11.

2009

• (Bengio et al., 2009) ⇒ Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. (2009). “Curriculum Learning.” In: [[Proceedings of the 26th annual International Conference on Machine Learning, (ICML-2009).

2008

• (Larochelle & Bengio, 2008) ⇒ Hugo Larochelle, and Yoshua Bengio. (2008). “Classification using discriminative restricted Boltzmann machines". In: Proceedings of the 25th International Conference on Machine learning (ICML 2008). doi:10.1145/1390156.1390224
• (Vincent et al., 2008) ⇒ Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. (2008). “Extracting and Composing Robust Features with Denoising Autoencoders.” In: Proceedings of the 25th International Conference on Machine learning (ICML 2008).

2007

• (Larochelle et al., 2007) ⇒ Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, and Yoshua Bengio. “An Empirical Evaluation of Deep Architectures on Problems with many Factors of Variation.” In: Proceedings of the 24th International Conference on Machine learning, pp. 473-480. ACM, 2007.

2006

• (Bengio, Schewenk et al., 2006) ⇒ Yoshua Bengio, Holger Schwenk, Jean-Sébastien Senécal, Fréderic Morin, and Jean-Luc Gauvain. (2006). “Neural Probabilistic Language Models.” In: Innovations in Machine Learning, D. Holmes and L.C. Jain, eds. doi:10.1007/3-540-33486-6_6
• (Bengio, Lamblin et al., 2006) ⇒ Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle. (2006). “Greedy Layer-wise Training of Deep Networks.” In: Advances in Neural Information Processing Systems 19 (NIPS-2006).

2003

• (Bengio et al., 2003a) ⇒ Yoshua Bengio, R. Ducharme, Vincent, P., and C. Jauvin. (2003). “A Neural Probabilistic Language Model.” In: Journal of Machine Learning Reseach, 3(6).
• (Bengio et al., 2003b) ⇒ Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet. (2003). “Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering.” In: Advances in Neural Information Processing Systems 16 (NIPS 2003).

1998

• (LeCun & al 1998) ⇒ Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. “Gradient-based learning applied to document recognition." Proceedings of the IEEE ..., 86(11).

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