Andrew M. Dai

Software Engineer, Google

Joined

September 2016

Names

Andrew M. Dai (Preferred)

Andrew Mingbo Dai

Emails

****@google.com (Confirmed)

****@ed.ac.uk

****@gmail.co.uk

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Software Engineer

Google (google.com)

2012 – Present

PhD student

University of Edinburgh (ed.ac.uk)

2007 – 2012

Advisors, Relations & Conflicts

Coauthor

Samy Bengio

2016 – Present

Coworker

Quoc Le

2014 – Present

Coworker

Ian Goodfellow

2014 – 2018

Coauthor

Samuel R. Bowman

2016 – 2016

Coauthor

Luke Vilnis

2016 – 2016

Coauthor

Oriol Vinyals

2016 – 2016

Coauthor

Rafal Jozefowicz

2016 – 2016

PhD Advisor

Amos Storkey

2007 – 2012

Expertise

deep learning

topic modelling

bayesian nonparametrics

nlp

Present

health

medical records

Present

Publications

Best Practices and Lessons Learned on Synthetic Data
Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai
- COLM
- Readers: Everyone
Best Practices and Lessons Learned on Synthetic Data for Language Models
Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai
- CoRR 2024
- Readers: Everyone
Deep State-Space Generative Model For Correlated Time-to-Event Predictions
Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui
- CoRR 2024
- Readers: Everyone
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue, Nan Du, Anne Mottram, Martin Seneviratne, Andrew M. Dai
- CoRR 2024
- Readers: Everyone
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola et al. (33 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Scaling Instruction-Finetuned Language Models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter et al. (15 additional authors not shown)
- J. Mach. Learn. Res. 2024
- Readers: Everyone
Mixture-of-experts with expert choice routing
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Y Zhao, Andrew M. Dai, Zhifeng Chen, Quoc V Le, James Laudon
- 15 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
- NeurIPS 2023 poster
- Readers: Everyone
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, xiyang luo, Benjamin Caine, Wei Li, Abhijit Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
- Accepted by TMLR
- Readers: Everyone
Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V Le, Claire Cui, James Laudon, Jeff Dean
- ICML 2023 Poster
- Readers: Everyone

View all 119 publications

Co-Authors

View all 877 co-authors