Pengcheng He
Pengcheng He
Bestätigte E-Mail-Adresse bei microsoft.com
Titel
Zitiert von
Zitiert von
Jahr
On the variance of the adaptive learning rate and beyond
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
arXiv preprint arXiv:1908.03265, 2019
6612019
Multi-task deep neural networks for natural language understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1901.11504, 2019
6002019
Deberta: Decoding-enhanced bert with disentangled attention
P He, X Liu, J Gao, W Chen
ICLR 2021, 2020
1132020
Improving multi-task deep neural networks via knowledge distillation for natural language understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1904.09482, 2019
982019
Smart: Robust and efficient fine-tuning for pre-trained natural language models through principled regularized optimization
H Jiang, P He, W Chen, X Liu, J Gao, T Zhao
arXiv preprint arXiv:1911.03437, 2019
762019
X-SQL: reinforce schema representation with context
P He, Y Mao, K Chakrabarti, W Chen
arXiv preprint arXiv:1908.08113, 2019
392019
Adversarial training for large neural language models
X Liu, H Cheng, P He, W Chen, Y Wang, H Poon, J Gao
arXiv preprint arXiv:2004.08994, 2020
382020
On the variance of the adaptive learning rate and beyond. arXiv 2019
L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han
arXiv preprint arXiv:1908.03265, 2019
192019
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
arXiv preprint arXiv:2101.00133, 2021
182021
The microsoft toolkit of multi-task deep neural networks for natural language understanding
X Liu, Y Wang, J Ji, H Cheng, X Zhu, E Awa, P He, W Chen, H Poon, ...
arXiv preprint arXiv:2002.07972, 2020
182020
A hybrid neural network model for commonsense reasoning
P He, X Liu, W Chen, J Gao
arXiv preprint arXiv:1907.11983, 2019
182019
Generation-augmented retrieval for open-domain question answering
Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen
arXiv preprint arXiv:2009.08553, 2020
162020
Exploiting structured knowledge in text via graph-guided representation learning
T Shen, Y Mao, P He, G Long, A Trischler, W Chen
arXiv preprint arXiv:2004.14224, 2020
122020
X-SQL: reinforce context into schema representation
P He, Y Mao, K Chakrabarti, W Chen
Microsoft Research: Artificial Intelligence, 2019
112019
Scalable deep document/sequence reasoning with cognitive toolkit
S Pathak, P He, W Darling
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
42017
Reader-guided passage reranking for open-domain question answering
Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen
arXiv preprint arXiv:2101.00294, 2021
32021
Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach
S Zuo, C Liang, H Jiang, X Liu, P He, J Gao, W Chen, T Zhao
arXiv preprint arXiv:2104.04886, 2021
22021
ARCH: Efficient Adversarial Regularized Training with Caching
S Zuo, C Liang, H Jiang, P He, X Liu, J Gao, W Chen, T Zhao
arXiv preprint arXiv:2109.07048, 2021
2021
Ml using n-gram induced input representation
P He, X Liu, J Gao, W Chen
US Patent App. 17/229,140, 2021
2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
C Liang, S Zuo, M Chen, H Jiang, X Liu, P He, T Zhao, W Chen
arXiv preprint arXiv:2105.12002, 2021
2021
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