Yichong Xu
Yichong Xu
Senior Researcher, Microsoft AI Cognitive Services
在 microsoft.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
T Xiao, Y Xu, K Yang, J Zhang, Y Peng, Z Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
7192015
Scale-invariant convolutional neural networks
Y Xu, T Xiao, J Zhang, K Yang, Z Zhang
arXiv preprint arXiv:1411.6369, 2014
1162014
Multi-task learning with sample re-weighting for machine reading comprehension
Y Xu, X Liu, Y Shen, J Liu, J Gao
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
41*2019
Dynamic fusion networks for machine reading comprehension
Y Xu, J Liu, J Gao, Y Shen, X Liu
arXiv preprint arXiv:1711.04964, 2017
38*2017
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Y Xu, H Zhang, K Miller, A Singh, A Dubrawski
Advances in Neural Information Processing Systems, 2431--2440, 2017
36*2017
On strategyproof conference review
Y Xu, H Zhao, X Shi, N Shah
Proceedings of the International Joint Conference on Artificial Intelligence …, 2019
242019
On Strategyproof Conference Peer Review
Y Xu, H Zhao, X Shi, NB Shah
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
182019
Computational issues in time-inconsistent planning
P Tang, Y Teng, Z Wang, S Xiao, Y Xu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
182017
Fusing context into knowledge graph for commonsense question answering
Y Xu, C Zhu, R Xu, Y Liu, M Zeng, X Huang
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
14*2021
Active learning for graph neural networks via node feature propagation
Y Wu, Y Xu, A Singh, Y Yang, A Dubrawski
arXiv preprint arXiv:1910.07567, 2019
142019
Doubletransfer at mediqa 2019: Multi-source transfer learning for natural language understanding in the medical domain
Y Xu, X Liu, C Li, H Poon, J Gao
arXiv preprint arXiv:1906.04382, 2019
112019
Dialoglm: Pre-trained model for long dialogue understanding and summarization
M Zhong, Y Liu, Y Xu, C Zhu, M Zeng
arXiv preprint arXiv:2109.02492, 2021
52021
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
Y Xu, H Muthakana, S Balakrishnan, A Singh, A Dubrawski
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
52018
Zeroth order non-convex optimization with dueling-choice bandits
Y Xu, A Joshi, A Singh, A Dubrawski
Conference on Uncertainty in Artificial Intelligence, 899-908, 2020
42020
Preference-based Reinforcement Learning with Finite-Time Guarantees
Y Xu, R Wang, LF Yang, A Singh, A Dubrawski
arXiv preprint arXiv:2006.08910, 2020
42020
Novel quantization strategies for linear prediction with guarantees
S Du, Y Xu, H Zhang, C Li, P Grover, A Singh
Proceedings of ICML 2016 Workshop on On-Device Intelligence, 2016
42016
Retrieval Enhanced Model for Commonsense Generation
H Wang, Y Liu, C Zhu, L Shou, M Gong, Y Xu, M Zeng
arXiv preprint arXiv:2105.11174, 2021
32021
Thresholding bandit problem with both duels and pulls
Y Xu, X Chen, A Singh, A Dubrawski
International Conference on Artificial Intelligence and Statistics, 2591-2600, 2020
32020
Regression with comparisons: Escaping the curse of dimensionality with ordinal information
Y Xu, S Balakrishnan, A Dubrawski, A Singh
Journal of machine learning research, 2020
32020
An Empirical Study of Training End-to-End Vision-and-Language Transformers
ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, Z Liu, M Zeng
arXiv preprint arXiv:2111.02387, 2021
22021
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