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



Yao Zhao , Mohammad Saleh , Peter J. Liu


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



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



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



Peter J. Liu , Yu-An Chung , Jie Ren

* first two authors contributed equally 

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Likelihood Ratios for Out-of-Distribution Detection



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



Ethan Steinberg , Peter J. Liu


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Unsupervised Neural Multi-document Abstractive Summarization



Eric Chu , Peter J. Liu

* preprint 

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Learning to Write Notes in Electronic Health Records



Peter J. Liu

* preprint 

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Scalable and accurate deep learning for electronic health records



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

* 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



W. James Murdoch , Peter J. Liu , Bin Yu

* Oral presentation at ICLR 2018 

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