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2020 – today
- 2023
[c9]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. EMNLP 2023: 1471-1486- [c8]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: 42531-42542 - [c7]Angelica Chen, David Dohan, David R. So:
EvoPrompting: Language Models for Code-Level Neural Architecture Search. NeurIPS 2023 - [i13]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 abs/2302.05433 (2023) - [i12]Angelica Chen, David M. Dohan, David R. So:
EvoPrompting: Language Models for Code-Level Neural Architecture Search. CoRR abs/2302.14838 (2023) - [i11]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 abs/2306.00008 (2023) - 2022
- [j1]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): 18-28 (2022) - [i10]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 abs/2204.05149 (2022) - [i9]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 abs/2210.11399 (2022) - 2021
- [c6]Zhen Xu, David R. So, Andrew M. Dai:
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. AAAI 2021: 10532-10540 - [c5]David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le:
Searching for Efficient Transformers for Language Modeling. NeurIPS 2021: 6010-6022 - [c4]Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le:
Pay Attention to MLPs. NeurIPS 2021: 9204-9215 - [i8]Zhen Xu, David R. So, Andrew M. Dai:
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. CoRR abs/2102.02340 (2021) - [i7]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 abs/2104.10350 (2021) - [i6]Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le:
Pay Attention to MLPs. CoRR abs/2105.08050 (2021) - [i5]David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le:
Primer: Searching for Efficient Transformers for Language Modeling. CoRR abs/2109.08668 (2021) - 2020
- [c3]Esteban Real, Chen Liang, David R. So, Quoc V. Le:
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. ICML 2020: 8007-8019 - [i4]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 abs/2001.09977 (2020) - [i3]Esteban Real, Chen Liang, David R. So, Quoc V. Le:
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. CoRR abs/2003.03384 (2020)
2010 – 2019
- 2019
- [c2]David R. So, Quoc V. Le, Chen Liang:
The Evolved Transformer. ICML 2019: 5877-5886 - [i2]David R. So, Chen Liang, Quoc V. Le:
The Evolved Transformer. CoRR abs/1901.11117 (2019) - 2018
- [c1]David Dohan, David R. So, Quoc V. Le:
Evolving modular neural sequence architectures with genetic programming. GECCO (Companion) 2018: 37-38 - [i1]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 abs/1803.10342 (2018)
Coauthor Index
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