| From word embeddings to document distances M Kusner, Y Sun, N Kolkin, K Weinberger International Conference on Machine Learning, 957-966, 2015 | 1503 | 2015 |
| On calibration of modern neural networks C Guo, G Pleiss, Y Sun, KQ Weinberger ICML 2017, 2017 | 1338 | 2017 |
| Deep networks with stochastic depth G Huang, Y Sun, Z Liu, D Sedra, KQ Weinberger European Conference on Computer Vision, 646-661, 2016 | 1167 | 2016 |
| Adversarial deep averaging networks for cross-lingual sentiment classification X Chen, Y Sun, B Athiwaratkun, C Cardie, K Weinberger Transactions of the Association for Computational Linguistics 6, 557-570, 2018 | 192 | 2018 |
| An empirical study on evaluation metrics of generative adversarial networks Q Xu, G Huang, Y Yuan, C Guo, Y Sun, F Wu, K Weinberger arXiv preprint arXiv:1806.07755, 2018 | 130* | 2018 |
| Supervised Word Mover's Distance G Huang, C Guo, MJ Kusner, Y Sun, F Sha, KQ Weinberger Advances in Neural Information Processing Systems, 4862-4870, 2016 | 116 | 2016 |
| Unsupervised Domain Adaptation through Self-Supervision Y Sun, E Tzeng, T Darrell, AA Efros arXiv preprint arXiv:1909.11825, 2019 | 63 | 2019 |
| Test-time training with self-supervision for generalization under distribution shifts Y Sun, X Wang, Z Liu, J Miller, AA Efros, M Hardt International Conference on Machine Learning (ICML), 2020 | 58* | 2020 |
| Private causal inference MJ Kusner, Y Sun, K Sridharan, KQ Weinberger AISTATS 2016, 2015 | 11* | 2015 |
| Self-supervised policy adaptation during deployment N Hansen, R Jangir, Y Sun, G Alenyà, P Abbeel, AA Efros, L Pinto, ... arXiv preprint arXiv:2007.04309, 2020 | 9 | 2020 |
Matt J. KusnerAssociate Professor, University College LondonVerified email at ucl.ac.uk
