| Neural machine translation by jointly learning to align and translate D Bahdanau, K Cho, Y Bengio ICLR 2015, 2014 | 41899 | 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 | 38511 | 2014 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 21525 | 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 | 14349 | 2015 |
| 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 | 10969 | 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 | 3645 | 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 | 3071 | 2018 |
| 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 | 3042 | 2014 |
| 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 | 2101 | 2014 |
| How to Construct Deep Recurrent Neural Networks R Pascanu, C Gulcehre, K Cho, Y Bengio International Conference on Learning Representation (ICLR), 2014 | 1533 | 2014 |
| Passage Re-ranking with BERT R Nogueira, K Cho arXiv preprint arXiv:1901.04085, 2019 | 1515 | 2019 |
| 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 | 1482 | 2015 |
| Gated Feedback Recurrent Neural Networks J Chung, C Gulcehre, K Cho, Y Bengio International Conference on Machine Learning, 2015 | 1296 | 2015 |
| On Using Very Large Target Vocabulary for Neural Machine Translation S Jean, K Cho, R Memisevic, Y Bengio ACL 2015, 2014 | 1286 | 2014 |
| AdapterFusion: Non-destructive task composition for transfer learning J Pfeiffer, A Kamath, A Rücklé, K Cho, I Gurevych EACL, 2021 | 1197 | 2021 |
| 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 | 1181 | 2016 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv 2014 J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555 1412, 2014 | 1181 | 2014 |
| Neural machine translation by jointly learning to align and translate. arXiv 2014 D Bahdanau, K Cho, Y Bengio arXiv preprint arXiv:1409.0473, 2014 | 1107 | 2014 |
| Structure-based protein function prediction using graph convolutional networks V Gligorijević, PD Renfrew, T Kosciolek, JK Leman, D Berenberg, ... Nature communications 12 (1), 3168, 2021 | 1081 | 2021 |
| Unsupervised neural machine translation M Artetxe, G Labaka, E Agirre, K Cho ICLR, 2018 | 1070 | 2018 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
