David R. So - RankMe

23 papers A* 8Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Brainformers: Trading Simplicity for Efficiency. ICML 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
2023	J	`jnl`	Brainformers: Trading Simplicity for Efficiency. CoRR 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
2023	A*	`conf`	EvoPrompting: Language Models for Code-Level Neural Architecture Search. NeurIPS Angelica Chen, David Dohan, David R. So
2023	J	`jnl`	EvoPrompting: Language Models for Code-Level Neural Architecture Search. CoRR Angelica Chen, David M. Dohan, David R. So
2023	A*	`conf`	Transcending Scaling Laws with 0.1% Extra Compute. EMNLP 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
2023	J	`jnl`	Unified Functional Hashing in Automatic Machine Learning. CoRR Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real
2022	J	`jnl`	The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2022	J	`jnl`	The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. CoRR David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2022	J	`jnl`	Transcending Scaling Laws with 0.1% Extra Compute. CoRR 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
2021	J	`jnl`	Carbon Emissions and Large Neural Network Training. CoRR David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2021	A*	`conf`	MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. AAAI Zhen Xu, David R. So, Andrew M. Dai
2021	J	`jnl`	MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. CoRR Zhen Xu, David R. So, Andrew M. Dai
2021	A*	`conf`	Pay Attention to MLPs. NeurIPS Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
2021	J	`jnl`	Pay Attention to MLPs. CoRR Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le
2021	J	`jnl`	Primer: Searching for Efficient Transformers for Language Modeling. CoRR David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
2021	A*	`conf`	Searching for Efficient Transformers for Language Modeling. NeurIPS David R. So, Wojciech Manke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V. Le
2020	A*	`conf`	AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. ICML Esteban Real, Chen Liang, David R. So, Quoc V. Le
2020	J	`jnl`	AutoML-Zero: Evolving Machine Learning Algorithms From Scratch. CoRR Esteban Real, Chen Liang, David R. So, Quoc V. Le
2020	J	`jnl`	Towards a Human-like Open-Domain Chatbot. CoRR 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
2019	A*	`conf`	The Evolved Transformer. ICML David R. So, Quoc V. Le, Chen Liang
2019	J	`jnl`	The Evolved Transformer. CoRR David R. So, Chen Liang, Quoc V. Le
2018	J	`jnl`	Classification of crystallization outcomes using deep convolutional neural networks. CoRR Andrew E. Bruno, Patrick Charbonneau, Janet Newman, Edward H. Snell, David R. So, Vincent Vanhoucke, Shawn Williams, Julie Wilson
2018	—	`conf`	Evolving modular neural sequence architectures with genetic programming. GECCO (Companion) David Dohan, David R. So, Quoc V. Le