Deep Learning, Natural Language Processing, Computer Vision
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy and Quoc V. Le.
CVPR 2020 [SOTA ImageNet models] [code] [AI Index Report] [video]
Tweets: [Quoc Le] [Jeff Dean] [Ilya Sutskever]
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong and Quoc V. Le.
[code] [Google blogpost] [Top-3 paper for last year by arxiv-sanity (Mar 2020)]
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
Xiang Kong, Qizhe Xie, Zihang Dai and Eduard Hovy.
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
Zihang Dai*, Qizhe Xie* and Eduard Hovy. (*: equal contribution)
ACL 2018 [code] [poster]
Large-scale Cloze Test Dataset Created by Teachers
Qizhe Xie*, Guokun Lai*, Zihang Dai and Eduard Hovy. (*: equal contribution)
EMNLP 2018 [leaderboard] [data] [code]
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy and Graham Neubig.
NIPS 2017 [slides] [code]
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai*, Qizhe Xie*, Hanxiao Liu, Yiming Yang and Eduard Hovy. (*: equal contribution)
EMNLP 2017 [leaderboard] [data] [code] [slides]
An Interpretable Knowledge Transfer Model for Knowledge Base Completion
Qizhe Xie, Xuezhe Ma, Zihang Dai and Eduard Hovy.
ACL 2017 [slides]
Recurrent Polynomial Network for Dialogue State Tracking
Kai Sun, Qizhe Xie and Kai Yu.
Dialogue & Discourse 2016
Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers
Qizhe Xie, Kai Sun, Su Zhu, Lu Chen and Kai Yu.
SigDial 2015 (Oral)