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LaMDA: Language Models for Dialog Applications



Romal Thoppilan , Daniel De Freitas , Jamie Hall , Noam Shazeer , Apoorv Kulshreshtha , Heng-Tze Cheng , Alicia Jin , Taylor Bos , Leslie Baker , Yu Du , YaGuang Li , Hongrae Lee , Huaixiu Steven Zheng , Amin Ghafouri , Marcelo Menegali , Yanping Huang , Maxim Krikun , Dmitry Lepikhin , James Qin , Dehao Chen , Yuanzhong Xu , Zhifeng Chen , Adam Roberts , Maarten Bosma , Vincent Zhao , Yanqi Zhou , Chung-Ching Chang , Igor Krivokon , Will Rusch , Marc Pickett , Pranesh Srinivasan , Laichee Man , Kathleen Meier-Hellstern , Meredith Ringel Morris , Tulsee Doshi , Renelito Delos Santos , Toju Duke , Johnny Soraker , Ben Zevenbergen , Vinodkumar Prabhakaran , Mark Diaz , Ben Hutchinson , Kristen Olson , Alejandra Molina , Erin Hoffman-John , Josh Lee , Lora Aroyo , Ravi Rajakumar , Alena Butryna , Matthew Lamm , Viktoriya Kuzmina , Joe Fenton , Aaron Cohen , Rachel Bernstein , Ray Kurzweil , Blaise Aguera-Arcas , Claire Cui , Marian Croak , Ed Chi , Quoc Le


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GLaM: Efficient Scaling of Language Models with Mixture-of-Experts



Nan Du , Yanping Huang , Andrew M. Dai , Simon Tong , Dmitry Lepikhin , Yuanzhong Xu , Maxim Krikun , Yanqi Zhou , Adams Wei Yu , Orhan Firat , Barret Zoph , Liam Fedus , Maarten Bosma , Zongwei Zhou , Tao Wang , Yu Emma Wang , Kellie Webster , Marie Pellat , Kevin Robinson , Kathy Meier-Hellstern , Toju Duke , Lucas Dixon , Kun Zhang , Quoc V Le , Yonghui Wu , Zhifeng Chen , Claire Cui


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Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems



Zhe Chen , Yuyan Wang , Dong Lin , Derek Zhiyuan Cheng , Lichan Hong , Ed H. Chi , Claire Cui

* 9 pages 

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Deep Physiological State Space Model for Clinical Forecasting



Yuan Xue , Denny Zhou , Nan Du , Andrew Dai , Zhen Xu , Kun Zhang , Claire Cui


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Modelling EHR timeseries by restricting feature interaction



Kun Zhang , Yuan Xue , Gerardo Flores , Alvin Rajkomar , Claire Cui , Andrew M. Dai

* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

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Explaining an increase in predicted risk for clinical alerts



Michaela Hardt , Alvin Rajkomar , Gerardo Flores , Andrew Dai , Michael Howell , Greg Corrado , Claire Cui , Moritz Hardt


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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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