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Andrew M. Dai

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Improved Patient Classification with Language Model Pretraining Over Clinical Notes

Oct 02, 2019
Jonas Kemp, Alvin Rajkomar, Andrew M. Dai

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Learning an Adaptive Learning Rate Schedule

Sep 20, 2019
Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz

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Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records

Jun 28, 2019
Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai

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Analyzing the Role of Model Uncertainty for Electronic Health Records

Jun 10, 2019
Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine Heller, Andrew M. Dai

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Gmail Smart Compose: Real-Time Assisted Writing

May 17, 2019
Mia Xu Chen, Benjamin N Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu

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Music Transformer

Oct 10, 2018
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Ian Simon, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck

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Peptide-Spectra Matching from Weak Supervision

Aug 22, 2018
Samuel S. Schoenholz, Sean Hackett, Laura Deming, Eugene Melamud, Navdeep Jaitly, Fiona McAllister, Jonathon O'Brien, George Dahl, Bryson Bennett, Andrew M. Dai, Daphne Koller

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Learning Longer-term Dependencies in RNNs with Auxiliary Losses

Jun 13, 2018
Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong, Quoc V. Le

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