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Peter J. Liu

SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization


Jun 18, 2020
Yao Zhao, Mohammad Saleh, Peter J. Liu

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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization


Dec 18, 2019
Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer


Oct 24, 2019
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu

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SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders


Oct 02, 2019
Peter J. Liu, Yu-An Chung, Jie Ren

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* first two authors contributed equally 
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Likelihood Ratios for Out-of-Distribution Detection


Jun 07, 2019
Jie Ren, Peter J. Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A. DePristo, Joshua V. Dillon, Balaji Lakshminarayanan

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Using Ontologies To Improve Performance In Massively Multi-label Prediction Models


May 28, 2019
Ethan Steinberg, Peter J. Liu

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Unsupervised Neural Multi-document Abstractive Summarization


Oct 12, 2018
Eric Chu, Peter J. Liu

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* preprint 
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Learning to Write Notes in Electronic Health Records


Aug 08, 2018
Peter J. Liu

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* preprint 
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Scalable and accurate deep learning for electronic health records


May 11, 2018
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael Howell, Claire Cui, Greg Corrado, Jeff Dean

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* npj Digital Medicine 1:18 (2018) 
 * Published version from https://www.nature.com/articles/s41746-018-0029-1 
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Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs


Apr 27, 2018
W. James Murdoch, Peter J. Liu, Bin Yu

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* Oral presentation at ICLR 2018 
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Unsupervised Pretraining for Sequence to Sequence Learning


Feb 22, 2018
Prajit Ramachandran, Peter J. Liu, Quoc V. Le

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* Updated to accepted EMNLP 2017 version 
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Generating Wikipedia by Summarizing Long Sequences


Jan 30, 2018
Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer

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* Published as a conference paper at ICLR 2018 
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Online and Linear-Time Attention by Enforcing Monotonic Alignments


Jun 29, 2017
Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck

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* ICML camera-ready version; 10 pages + 9 page appendix 
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Get To The Point: Summarization with Pointer-Generator Networks


Apr 25, 2017
Abigail See, Peter J. Liu, Christopher D. Manning

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* Add METEOR evaluation results, add some citations, fix some equations (what are now equations 1, 8 and 11 were missing a bias term), fix url to pyrouge package, add acknowledgments 
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