David R. So

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 23

Top Topics

Language Modeling

Machine Learning

Trec Collections

Top Venues

Publications

Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. EMNLP (2023)
Angelica Chen, David M. Dohan, David R. So
EvoPrompting: Language Models for Code-Level Neural Architecture Search. CoRR (2023)
Angelica Chen, David Dohan, David R. So
EvoPrompting: Language Models for Code-Level Neural Architecture Search. NeurIPS (2023)
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
Brainformers: Trading Simplicity for Efficiency. ICML (2023)
Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean
Brainformers: Trading Simplicity for Efficiency. CoRR (2023)
Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real
Unified Functional Hashing in Automatic Machine Learning. CoRR (2023)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. CoRR (2022)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer 55 (7) (2022)
Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. CoRR (2022)
Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
Pay Attention to MLPs. NeurIPS (2021)
David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
Primer: Searching for Efficient Transformers for Language Modeling. CoRR (2021)
David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
Carbon Emissions and Large Neural Network Training. CoRR (2021)
Zhen Xu, David R. So, Andrew M. Dai
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. CoRR (2021)
Zhen Xu, David R. So, Andrew M. Dai
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. AAAI (2021)
Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
Pay Attention to MLPs. CoRR (2021)
David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
Searching for Efficient Transformers for Language Modeling. NeurIPS (2021)
Esteban Real, Chen Liang, David R. So, Quoc V. Le
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. CoRR (2020)
Esteban Real, Chen Liang, David R. So, Quoc V. Le
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. ICML (2020)
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le
Towards a Human-like Open-Domain Chatbot. CoRR (2020)
David R. So, Chen Liang, Quoc V. Le
The Evolved Transformer. CoRR (2019)
David R. So, Quoc V. Le, Chen Liang
The Evolved Transformer. ICML (2019)
Andrew E. Bruno, Patrick Charbonneau, Janet Newman, Edward H. Snell, David R. So, Vincent Vanhoucke, Shawn Williams, Julie Wilson
Classification of crystallization outcomes using deep convolutional neural networks. CoRR (2018)
David Dohan, David R. So, Quoc V. Le
Evolving modular neural sequence architectures with genetic programming. GECCO (Companion) (2018)