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Panoramic Learning with A Standardized Machine Learning Formalism


Aug 17, 2021
Zhiting Hu, Eric P. Xing

* 29 pages 

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Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation


Jul 23, 2021
Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu

* 10 pages, 5 figures 

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Text Generation with Efficient (Soft) Q-Learning


Jun 17, 2021
Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

* Code available at https://github.com/HanGuo97/soft-Q-learning-for-text-generation 

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A Data-Centric Framework for Composable NLP Workflows


Mar 03, 2021
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

* 8 pages, 4 figures, EMNLP 2020 

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Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach


Oct 18, 2020
Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu

* EMNLP 2020, code and data available at https://github.com/tanyuqian/aspect-based-summarization 

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A Survey of Knowledge-Enhanced Text Generation


Oct 09, 2020
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang

* 44 pages; Preprint; A paper and code collection is available at https://github.com/wyu97/KENLG-Reading 

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Improving GAN Training with Probability Ratio Clipping and Sample Reweighting


Jun 30, 2020
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

* Fixed typos. Code available at: https://github.com/Holmeswww/PPOGAN 

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Progressive Generation of Long Text


Jun 28, 2020
Bowen Tan, Zichao Yang, Maruan AI-Shedivat, Eric P. Xing, Zhiting Hu

* Code available at https://github.com/tanyuqian/progressive-generation 

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Learning Data Manipulation for Augmentation and Weighting


Oct 28, 2019
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom Mitchell, Eric P. Xing

* NeurIPS 2019 

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Target-Guided Open-Domain Conversation


May 29, 2019
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu

* ACL 2019. Data and code available at https://github.com/squareRoot3/Target-Guided-Conversation. fixed typos 

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Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation


Mar 25, 2019
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing


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Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction


Mar 20, 2019
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang

* 10 pages, 2 figures, under review of AMIA annual symposium 

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Toward Unsupervised Text Content Manipulation


Feb 08, 2019
Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank Xu, Eric Xing

* The first 2 authors contributed equally. Dataset is released at https://github.com/ZhitingHu/text_content_manipulation 

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Text Infilling


Jan 18, 2019
Wanrong Zhu, Zhiting Hu, Eric Xing


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Connecting the Dots Between MLE and RL for Sequence Generation


Nov 24, 2018
Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing

* The first two authors contributed equally. Code available at: https://github.com/asyml/texar/tree/master/examples/seq2seq_exposure_bias 

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Structured Content Preservation for Unsupervised Text Style Transfer


Oct 31, 2018
Youzhi Tian, Zhiting Hu, Zhou Yu


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Toward Controlled Generation of Text


Sep 13, 2018
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

* Code adapted for text style transfer is released at: https://github.com/asyml/texar/tree/master/examples/text_style_transfer 

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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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On Unifying Deep Generative Models


Jul 11, 2018
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

* Polished and extended content over the ICLR conference version: https://openreview.net/pdf?id=rylSzl-R

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Deep Generative Models with Learnable Knowledge Constraints


Jun 26, 2018
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric Xing


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Unsupervised Text Style Transfer using Language Models as Discriminators


May 31, 2018
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick


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Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation


May 21, 2018
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing


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Automatic Article Commenting: the Task and Dataset


May 11, 2018
Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi

* ACL2018; with supplements; Dataset link available in the paper 

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Towards Automated ICD Coding Using Deep Learning


Nov 30, 2017
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing


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Learning Scalable Deep Kernels with Recurrent Structure


Oct 05, 2017
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

* Journal of Machine Learning Research (JMLR), JMLR 18(82):1-37, 2017 
* 37 pages, 7 figures, 5 tables. Updated to the final version that appears in JMLR, 18(82):1-37, 2017 

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Nonparametric Variational Auto-encoders for Hierarchical Representation Learning


Aug 25, 2017
Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric Xing

* Accepted in ICCV 2017 

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