| Empirical evaluation of gated recurrent neural networks on sequence modeling J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 5647 | 2014 |
| 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 | 652 | 2015 |
| Gated feedback recurrent neural networks J Chung, C Gulcehre, K Cho, Y Bengio International Conference on Machine Learning (ICML), 2015 | 628 | 2015 |
| 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 | 433 | 2019 |
| Hierarchical multiscale recurrent neural networks J Chung, S Ahn, Y Bengio International Conference on Learning Representations (ICLR'17), 2016 | 375 | 2016 |
| A Character-level Decoder without Explicit Segmentation for Neural Machine Translation J Chung, K Cho, Y Bengio Association for Computational Linguistics (ACL), 2016 | 291 | 2016 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog, 2, 2019 | 242 | 2019 |
| Equilibrated adaptive learning rates for non-convex optimization Y Dauphin, H De Vries, Y Bengio Advances in neural information processing systems, 1504-1512, 2015 | 239 | 2015 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling (2014) J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 154 | 2014 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv 2014 J Chung, C Gulcehre, K Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 116 | 2014 |
| Deep attribute networks J Chung, D Lee, Y Seo, CD Yoo Deep Learning and Unsupervised Feature Learning NIPS Workshop, 2012 | 29 | 2012 |
| 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 | 28* | 2015 |
| AlphaS-tar: Mastering the Real-Time Strategy Game StarCraft II.(2019) O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, W Czarnecki, ... URL: https://deepmind. com/blog/alphastar-mastering-real-timestrategy-game …, 2019 | 11 | 2019 |
| 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 | 10 | 2016 |
| Hierarchical multiscale recurrent neural networks. 2016 J Chung, S Ahn, Y Bengio arXiv preprint arXiv:1609.01704, 0 | 5 | |
| 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 | 4 | 2018 |
| 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 | |
| Joint estimation of pose and face landmark D Lee, J Chung, CD Yoo Asian Conference on Computer Vision, 305-319, 2014 | 1 | 2014 |
| On Deep Multiscale Recurrent Neural Networks J Chung | | 2019 |
| Learning Latent Multiscale Structure Using Recurrent Neural Networks J Chung, S Ahn, Y Bengio NIPS workshop on Neural Abstract Machines & Program Induction (NAMPI), 2016 | | 2016 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARAdresse e-mail validée de umontreal.ca
