| Empirical evaluation of gated recurrent neural networks on sequence modeling J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 12654 | 2014 |
| Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... Nature 575 (7782), 350-354, 2019 | 3065 | 2019 |
| A Recurrent Latent Variable Model for Sequential Data J Chung, K Kastner, L Dinh, K Goel, A Courville, Y Bengio Advances in Neural Information Processing Systems (NIPS), 2015 | 1215 | 2015 |
| Gated feedback recurrent neural networks J Chung, C Gulcehre, K Cho, Y Bengio International Conference on Machine Learning (ICML), 2015 | 959 | 2015 |
| Equilibrated adaptive learning rates for non-convex optimization Y Dauphin, H De Vries, Y Bengio Advances in neural information processing systems 28, 2015 | 600 | 2015 |
| Hierarchical multiscale recurrent neural networks J Chung, S Ahn, Y Bengio International Conference on Learning Representations (ICLR'17), 2016 | 574 | 2016 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 20, 2019 | 487 | 2019 |
| A Character-level Decoder without Explicit Segmentation for Neural Machine Translation J Chung, K Cho, Y Bengio Association for Computational Linguistics (ACL), 2016 | 374 | 2016 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555 10, 2014 | 296 | 2014 |
| Competition-level code generation with alphacode Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ... Science 378 (6624), 1092-1097, 2022 | 266* | 2022 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR J Chung, Ç Gülçehre, K Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 53 | 2014 |
| Iterative Refinement of Approximate Posterior for Training Directed Belief Networks RD Hjelm, K Cho, J Chung, R Salakhutdinov, V Calhoun, N Jojic Advances in Neural Information Processing Systems (NIPS'16), 2015 | 43* | 2015 |
| Step-unrolled Denoising Autoencoders for Text Generation N Savinov, J Chung, M Binkowski, E Elsen, A Oord International Conference on Learning Representations (ICLR'22), 2021 | 36 | 2021 |
| Deep attribute networks J Chung, D Lee, Y Seo, CD Yoo Deep Learning and Unsupervised Feature Learning NIPS Workshop, 2012 | 36 | 2012 |
| Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. dec 2014 J Chung, C Gulcehre, KH Cho, Y Bengio URL http://arxiv. org/abs/1412.3555, 2014 | 20* | 2014 |
| Dynamic frame skipping for fast speech recognition in recurrent neural network based acoustic models I Song, J Chung, T Kim, Y Bengio 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 13 | 2018 |
| NYU-MILA Neural Machine Translation Systems for WMT'16 J Chung, K Cho, Y Bengio Proceedings of the First Conference on Machine Translation, Berlin, Germany …, 2016 | 11 | 2016 |
| Hierarchical multiscale recurrent neural networks (2016) J Chung, S Ahn, Y Bengio arXiv preprint arXiv:1609.01704, 2016 | 10 | 2016 |
| A character-level decoder without explicit segmentation for neural machine translation. arXiv 2016 J Chung, K Cho, Y Bengio arXiv preprint arXiv:1603.06147, 0 | 3 | |
| Speech recognition method and apparatus S Inchul, J Chung, T Kim, S Yoo US Patent 11,348,572, 2022 | 2 | 2022 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
