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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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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Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Jun 18, 2017
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick

* camera ready 

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Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Jun 11, 2017
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

* To appear in 2017 USENIX Annual Technical Conference 

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Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification

Apr 01, 2017
Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing

* To appear in ACL2017 

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Recurrent Topic-Transition GAN for Visual Paragraph Generation

Mar 23, 2017
Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing

* 10 pages, 6 figures 

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Dropout with Expectation-linear Regularization

Feb 15, 2017
Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard Hovy

* Published as a conference paper at ICLR 2017. Camera-ready Version. 23 pages (paper + appendix) 

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Harnessing Deep Neural Networks with Logic Rules

Nov 15, 2016
Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric Xing

* Fix typos and experiment setting 

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Stochastic Variational Deep Kernel Learning

Nov 02, 2016
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing

* 13 pages, 6 tables, 3 figures. Appearing in NIPS 2016 

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Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification

Jul 27, 2016
Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia Sycara

* 10 pages, submitted to Coling 2016. arXiv admin note: substantial text overlap with arXiv:1605.03924 

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Neural Machine Translation with Recurrent Attention Modeling

Jul 18, 2016
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alex Smola

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