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Unsupervised Parallel Corpus Mining on Web Data


Sep 18, 2020
Guokun Lai, Zihang Dai, Yiming Yang


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Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing


Jun 05, 2020
Zihang Dai, Guokun Lai, Yiming Yang, Quoc V. Le


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Explainable Unsupervised Change-point Detection via Graph Neural Networks


Apr 24, 2020
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang

* 15 pages, 8 figures 

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Bridging the domain gap in cross-lingual document classification


Sep 20, 2019
Guokun Lai, Barlas Oguz, Yiming Yang, Veselin Stoyanov


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Re-examination of the Role of Latent Variables in Sequence Modeling


Feb 04, 2019
Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo

* Code available at https://github.com/zihangdai/reexamine-srnn 

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Large-scale Cloze Test Dataset Created by Teachers


Aug 28, 2018
Qizhe Xie, Guokun Lai, Zihang Dai, Eduard Hovy

* EMNLP 2018 

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Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data


Jun 15, 2018
Guokun Lai, Bohan Li, Guoqing Zheng, Yiming Yang

* ICML 2018 Workshop 

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Learning Depthwise Graph Convolution from Data Manifold


May 23, 2018
Guokun Lai, Hanxiao Liu, Yiming Yang


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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks


Apr 18, 2018
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu

* Accepted by SIGIR 2018 

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