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Towards a Unified View of Parameter-Efficient Transfer Learning


Oct 08, 2021
Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

* under review 

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Capturing Structural Locality in Non-parametric Language Models


Oct 06, 2021
Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn


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Dependency Induction Through the Lens of Visual Perception


Sep 20, 2021
Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig

* Accepted to CoNLL 2021 

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Efficient Nearest Neighbor Language Models


Sep 09, 2021
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

* EMNLP 2021 

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CTRLsum: Towards Generic Controllable Text Summarization


Dec 08, 2020
Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong

* Preprint 

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On the Sentence Embeddings from Pre-trained Language Models


Nov 02, 2020
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li

* EMNLP 2020 

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Learning Sparse Prototypes for Text Generation


Jun 29, 2020
Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig

* 8 pages of main content 

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A Probabilistic Formulation of Unsupervised Text Style Transfer


Mar 11, 2020
Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick

* ICLR 2020 conference paper (spotlight). The first two authors contributed equally 

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Revisiting Self-Training for Neural Sequence Generation


Sep 30, 2019
Junxian He, Jiatao Gu, Jiajun Shen, Marc'Aurelio Ranzato


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The Source-Target Domain Mismatch Problem in Machine Translation


Sep 28, 2019
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato


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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text


Sep 02, 2019
Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang

* EMNLP 2019 short paper. The first two authors contributed equally 

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Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections


Jun 17, 2019
Junxian He, Zhisong Zhang, Taylor Berg-Kiripatrick, Graham Neubig

* ACL 2019 long paper 

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Choosing Transfer Languages for Cross-Lingual Learning


Jun 07, 2019
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig

* Proceedings of ACL 2019 

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Lagging Inference Networks and Posterior Collapse in Variational Autoencoders


Jan 28, 2019
Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick

* ICLR 2019 Conference Paper 

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Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation


Sep 04, 2018
Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Hector Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

* 14 pages; Github: https://github.com/asyml/texar 

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Unsupervised Learning of Syntactic Structure with Invertible Neural Projections


Aug 28, 2018
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

* EMNLP 2018 

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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


Jun 20, 2018
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig

* ACL 2018 

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Efficient Correlated Topic Modeling with Topic Embedding


Jul 01, 2017
Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing

* KDD 2017 oral. The first two authors contributed equally 

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Text Network Exploration via Heterogeneous Web of Topics


Oct 02, 2016
Junxian He, Ying Huang, Changfeng Liu, Jiaming Shen, Yuting Jia, Xinbing Wang

* 8 pages 

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