Peter J. Liu

Identifiers

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Papers (10)

1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cs.LG · 2019 · author #9
2. Using Ontologies To Improve Performance In Massively Multi-label Prediction Models cs.LG · 2019 · author #2
3. MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization cs.CL · 2018 · author #2
4. Learning to Write Notes in Electronic Health Records cs.CL · 2018 · author #1
5. Generating Wikipedia by Summarizing Long Sequences cs.CL · 2018 · author #1
6. Scalable and accurate deep learning for electronic health records cs.CY · 2018 · author #6
7. Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs cs.CL · 2018 · author #2
8. Get To The Point: Summarization with Pointer-Generator Networks cs.CL · 2017 · author #2
9. Online and Linear-Time Attention by Enforcing Monotonic Alignments cs.LG · 2017 · author #3
10. Unsupervised Pretraining for Sequence to Sequence Learning cs.CL · 2016 · author #2

Mentions

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Frequent Coauthors

• Colin Raffel 2 shared papers
• Noam Shazeer 2 shared papers
• Abigail See 1 shared papers
• Adam Roberts 1 shared papers
• Alexander Mossin 1 shared papers
• Alvin Rajkomar 1 shared papers
• Andrew M. Dai 1 shared papers
• Atul J. Butte 1 shared papers
• Ben Goodrich 1 shared papers
• Bin Yu 1 shared papers
• Christopher D. Manning 1 shared papers
• Claire Cui 1 shared papers
• Dana Ludwig 1 shared papers
• De Wang 1 shared papers
• Douglas Eck 1 shared papers
• Eric Chu 1 shared papers
• Ethan Steinberg 1 shared papers
• Etienne Pot 1 shared papers
• Eyal Oren 1 shared papers
• Gavin E. Duggan 1 shared papers