| Self-training with noisy student improves imagenet classification Q Xie, MT Luong, E Hovy, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1613 | 2020 |
| Unsupervised data augmentation for consistency training Q Xie, Z Dai, E Hovy, MT Luong, QV Le Advances in Neural Information Processing Systems (NeurIPS), 2019 | 1512* | 2019 |
| Race: Large-scale reading comprehension dataset from examinations G Lai, Q Xie, H Liu, Y Yang, E Hovy Empirical Methods in Natural Language Processing, EMNLP 2017, 2017 | 876 | 2017 |
| Meta pseudo labels H Pham, Z Dai, Q Xie, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 419 | 2021 |
| Controllable invariance through adversarial feature learning Q Xie, Z Dai, Y Du, E Hovy, G Neubig Advances in Neural Information Processing Systems (NeurIPS), 2017 | 230 | 2017 |
| An interpretable knowledge transfer model for knowledge base completion Q Xie, X Ma, Z Dai, E Hovy Annual Meeting of the Association for Computational Linguistics, ACL 2017, 2017 | 102 | 2017 |
| Large-scale cloze test dataset created by teachers Q Xie, G Lai, Z Dai, E Hovy Empirical Methods in Natural Language Processing, EMNLP 2018, 2017 | 66* | 2017 |
| Recurrent polynomial network for dialogue state tracking K Sun, Q Xie, K Yu Dialogue & Discourse 2016, 2015 | 14 | 2015 |
| Fast and simple mixture of softmaxes with bpe and hybrid-lightrnn for language generation X Kong, Q Xie, Z Dai, E Hovy Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6626-6633, 2019 | 11 | 2019 |
| Recurrent polynomial network for dialogue state tracking with mismatched semantic parsers Q Xie, K Sun, S Zhu, L Chen, K Yu Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 9 | 2015 |
| Evolvable dialogue state tracking for statistical dialogue management K Yu, L Chen, K Sun, Q Xie, S Zhu Frontiers of Computer Science 10, 201-215, 2016 | 8 | 2016 |
| From credit assignment to entropy regularization: Two new algorithms for neural sequence prediction Z Dai, Q Xie, E Hovy Annual Meeting of the Association for Computational Linguistics, ACL 2018, 2018 | 7 | 2018 |
| Training machine learning models using unsupervised data augmentation TM Luong, QV Le, Q Xie, Z Dai US Patent App. 17/606,190, 2022 | | 2022 |
| Meta pseudo-labels HH Pham, Z Dai, Q Xie, QV Le US Patent App. 17/551,065, 2022 | | 2022 |
| Self-training technique for generating neural network models TM Luong, QV Le, Q Xie US Patent App. 17/018,555, 2022 | | 2022 |
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
