| Deep learning-based classification of hyperspectral data Y Chen, Z Lin, X Zhao, G Wang, Y Gu IEEE Journal of Selected topics in applied earth observations and remote …, 2014 | 1209 | 2014 |
| A structured self-attentive sentence embedding Z Lin, M Feng, CN Santos, M Yu, B Xiang, B Zhou, Y Bengio 5th International Conference on Learning Representations (ICLR 2017), 2017 | 1045 | 2017 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv, arXiv: 1605.02688, 2016 | 735* | 2016 |
| Neural networks with few multiplications Z Lin, M Courbariaux, R Memisevic, Y Bengio 4th International Conference on Learning Representations (ICLR 2016), 2015 | 257 | 2015 |
| Towards biologically plausible deep learning Y Bengio, DH Lee, J Bornschein, T Mesnard, Z Lin 32th International Conference on Machine Learning (ICML 2015) workshop, 2015 | 230 | 2015 |
| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 154 | 2017 |
| Architectural complexity measures of recurrent neural networks S Zhang, Y Wu, T Che, Z Lin, R Memisevic, RR Salakhutdinov, Y Bengio 30th Annual Conference on Neural Information Processing Systems (NIPS 2016 …, 2016 | 113 | 2016 |
| Spectral-spatial classification of hyperspectral image using autoencoders Z Lin, Y Chen, X Zhao, G Wang 9th International Conference on Information, Communications and Signal …, 2013 | 84 | 2013 |
| Neural Language Modeling by Jointly Learning Syntax and Lexicon Y Shen, Z Lin, CW Huang, A Courville 6th International Conference on Learning Representations (ICLR 2018), 2017 | 74 | 2017 |
| Recurrent neural networks with limited numerical precision Z Lin, J Ott, Y Zhang, SC Liu, Y Bengio 30th Annual Conference on Neural Information Processing Systems (NIPS 2016 …, 2016 | 58* | 2016 |
| Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification Y Chen, X Zhao, Z Lin IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 44 | 2014 |
| Straight to the Tree: Constituency Parsing with Neural Syntactic Distance Y Shen, Z Lin, AP Jacob, A Sordoni, A Courville, Y Bengio 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), 2018 | 38 | 2018 |
| How far can we go without convolution: Improving fully-connected networks Z Lin, R Memisevic, K Konda 4th International Conference on Learning Representations (ICLR 2016) workshop, 2015 | 28 | 2015 |
| Focused Hierarchical RNNs for Conditional Sequence Processing NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ... 35th International Conference on Machine Learning (ICML 2018), 2018 | 14 | 2018 |
| Riemannian Manifold Learning based k-Nearest-Neighbor for Hyperspectral Image Classification Y Chen, Z Lin, X Zhao Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International …, 2013 | 12 | 2013 |
| Learning hierarchical structures on-the-fly with a recurrent-recursive model for sequences AP Jacob, Z Lin, A Sordoni, Y Bengio Proceedings of The Third Workshop on Representation Learning for NLP, 154-158, 2018 | 11 | 2018 |
| A deep reinforcement learning chatbot (short version) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1801.06700, 2018 | 11 | 2018 |
| Parallel acceleration of SAM algorithm and performance analysis H Qu, J Zhang, Z Lin, H Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 11 | 2013 |
| The Octopus Approach to the Alexa Competition: A Deep Ensemble-based Socialbot YB Iulian V Serban, Chinnadhurai Sankar, Zhouhan Lin, Saizheng Zhang ... Alexa Prize Proceedings, 2017 | 8 | 2017 |
| Supervised locally linear embedding based dimension reduction for hyperspectral image classification Y Chen, C Qu, Z Lin 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 3578 …, 2013 | 8 | 2013 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
