| Neural machine translation by jointly learning to align and translate D Bahdanau, K Cho, Y Bengio ICLR 2015, 2014 | 10260 | 2014 |
| Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation K Cho, B van Merrienboer, C Gulcehre, F Bougares, H Schwenk, ... Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), 2014 | 7624 | 2014 |
| Show, Attend and Tell: Neural Image Caption Generation with Visual Attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhutdinov, R Zemel, ... International Conference on Machine Learning, 2015 | 4322 | 2015 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 3907 | 2014 |
| On the Properties of Neural Machine Translation: Encoder-Decoder Approaches K Cho, B van Merrienboer, D Bahdanau, Y Bengio Eighth Workshop on Syntax, Semantics and Structure in Statistical …, 2014 | 2244 | 2014 |
| Attention-based models for speech recognition J Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio The Twenty-ninth Annual Conference on Neural Information Processing Systems …, 2015 | 996 | 2015 |
| Identifying and attacking the saddle point problem in high-dimensional non-convex optimization Y Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio Advances in Neural Information Processing Systems (NIPS) 27, 2014 | 817 | 2014 |
| Describing videos by exploiting temporal structure L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville International Conference on Computer Vision, 2015 | 694 | 2015 |
| On Using Very Large Target Vocabulary for Neural Machine Translation S Jean, K Cho, R Memisevic, Y Bengio ACL 2015, 2014 | 652 | 2014 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688, 2016 | 576 | 2016 |
| How to Construct Deep Recurrent Neural Networks R Pascanu, C Gulcehre, K Cho, Y Bengio International Conference on Learning Representation (ICLR), 2014 | 569 | 2014 |
| On the Number of Linear Regions of Deep Neural Networks G Montúfar, R Pascanu, K Cho, Y Bengio Advances in Neural Information Processing Systems (NIPS) 27, 2014 | 548 | 2014 |
| Gated Feedback Recurrent Neural Networks J Chung, C Gulcehre, K Cho, Y Bengio International Conference on Machine Learning, 2015 | 465 | 2015 |
| Recurrent neural networks for multivariate time series with missing values Z Che, S Purushotham, K Cho, D Sontag, Y Liu Scientific reports 8 (1), 6085, 2018 | 380 | 2018 |
| Learning distributed representations of sentences from unlabelled data F Hill, K Cho, A Korhonen NAACL, 2016 | 274 | 2016 |
| Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism O Firat, K Cho, Y Bengio NAACL, 2016 | 259* | 2016 |
| Describing multimedia content using attention-based encoder-decoder networks K Cho, A Courville, Y Bengio IEEE Transactions on Multimedia 17 (11), 1875-1886, 2015 | 247 | 2015 |
| Unsupervised neural machine translation M Artetxe, G Labaka, E Agirre, K Cho ICLR, 2018 | 243 | 2018 |
| A Character-level Decoder without Explicit Segmentation for Neural Machine Translation J Chung, K Cho, Y Bengio ACL, 2016 | 241 | 2016 |
| End-to-end continuous speech recognition using attention-based recurrent nn: First results J Chorowski, D Bahdanau, K Cho, Y Bengio arXiv preprint arXiv:1412.1602, 2014 | 239 | 2014 |
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
