| Character-level convolutional networks for text classification X Zhang, J Zhao, Y LeCun arXiv preprint arXiv:1509.01626, 2015 | 2990 | 2015 |
| End to end learning for self-driving cars A (All equal contribution), M Bojarski, D Del Testa, D Dworakowski, ... NIPS 2016 Symposium, 2016 | 2455* | 2016 |
| Energy-based generative adversarial network J Zhao, M Mathieu, Y LeCun ICLR 2017, 2016 | 919 | 2016 |
| Disentangling factors of variation in deep representation using adversarial training MF Mathieu, J Zhao, A Ramesh, P Sprechmann, Y LeCun Advances in Neural Information Processing Systems, 5041-5049, 2016 | 336 | 2016 |
| Stacked What-Where Auto-encoders YLC Junbo Zhao, Michael Mathieu, Ross Goroshin ICLR 2016, 2016 | 259* | 2016 |
| Deep graph library: Towards efficient and scalable deep learning on graphs M Wang, L Yu, D Zheng, Q Gan, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ... arXiv preprint arXiv:1909.01315, 2019 | 171 | 2019 |
| Adversarially Regularized Autoencoders J Zhao, Y Kim, K Zhang, AM Rush, Y LeCun ICML 2018, 2017 | 159 | 2017 |
| BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer F Sun, J Liu, J Wu, C Pei, X Lin, W Ou, P Jiang Proceedings of the 28th ACM international conference on information and …, 2019 | 129* | 2019 |
| End to end learning for self-driving cars. arXiv 2016 M Bojarski, D Del Testa, D Dworakowski, B Firner, B Flepp, P Goyal, ... arXiv preprint arXiv:1604.07316 103, 2016 | 88 | 2016 |
| Levenshtein transformer J Gu, C Wang, J Zhao arXiv preprint arXiv:1905.11006, 2019 | 81 | 2019 |
| Glomo: Unsupervised learning of transferable relational graphs Z Yang, JJ Zhao, B Dhingra, K He, WW Cohen, R Salakhutdinov, Y LeCun Proceedings of the 32nd International Conference on Neural Information …, 2018 | 38* | 2018 |
| End to end learning for self-driving cars. CoRR abs/1604.07316 (2016) M Bojarski, D Del Testa, D Dworakowski, B Firner, B Flepp, P Goyal, ... arXiv preprint arXiv:1604.07316, 2016 | 29 | 2016 |
| Prediction under uncertainty with error-encoding networks M Henaff, J Zhao, Y LeCun arXiv preprint arXiv:1711.04994, 2017 | 13 | 2017 |
| Retrieval-augmented convolutional neural networks for improved robustness against adversarial examples J Zhao, K Cho arXiv preprint arXiv:1802.09502, 2018 | 12 | 2018 |
| Character-level convolutional networks for text classification. CoRR abs/1509.01626 (2015) X Zhang, JJ Zhao, Y LeCun arXiv preprint arXiv:1509.01626, 2015 | 9 | 2015 |
| Retrieval-augmented convolutional neural networks against adversarial examples K Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 5 | 2019 |
| Pianotree vae: Structured representation learning for polyphonic music Z Wang, Y Zhang, Y Zhang, J Jiang, R Yang, J Zhao, G Xia arXiv preprint arXiv:2008.07118, 2020 | 2 | 2020 |
| Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System D Chin, Y Zhang, T Zhang, J Zhao, GG Xia arXiv preprint arXiv:2004.13908, 2020 | | 2020 |
| Unsupervised Learning with Regularized Autoencoders J Zhao New York University, 2019 | | 2019 |
| ENERGY-BASED GENERATIVE ADVERSARIAL NET J Zhao, M Mathieu, Y LeCun arXiv preprint arXiv:1609.03126, 2016 | | 2016 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityAdresse e-mail validée de cs.nyu.edu
