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

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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