Andrew M. Dai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2011–2023

Best venue rank

Where they publish

Papers

22 indexed papers, newest first.

Year	Venue	Title	Authors
2023	ICASSP	Massively Multilingual Shallow Fusion with Large Language Models.	Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman
2023	ICLR	Mind's Eye: Grounded Language Model Reasoning through Simulation.	Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai
2023	ICML	Brainformers: Trading Simplicity for Efficiency.	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
2022	ICLR	Finetuned Language Models are Zero-Shot Learners.	Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le
2022	ICML	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 P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui
2021	AAAI	MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records.	Zhen Xu, David R. So, Andrew M. Dai
2020	AAAI	Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer.	Edward Choi, Zhen Xu, Yujia Li, Michael Dusenberry, Gerardo Flores, Emily Xue, Andrew M. Dai
2020	CVPR	Flow Contrastive Estimation of Energy-Based Models.	Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
2020	KDD	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
2019	ICLR	Music Transformer: Generating Music with Long-Term Structure.	Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck
2019	KDD	Gmail Smart Compose: Real-Time Assisted Writing.	Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu
2018	AAAI	Who Said What: Modeling Individual Labelers Improves Classification.	Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton
2018	EMNLP	AirDialogue: An Environment for Goal-Oriented Dialogue Research.	Wei Wei, Quoc V. Le, Andrew M. Dai, Jia Li
2018	ICLR	MaskGAN: Better Text Generation via Filling in the _______.	William Fedus, Ian J. Goodfellow, Andrew M. Dai
2018	ICLR	Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.	William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow
2018	ICLR	Learning Longer-term Dependencies in RNNs with Auxiliary Losses.	Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong, Quoc V. Le
2018	ICML	Learning Longer-term Dependencies in RNNs with Auxiliary Losses.	Trieu H. Trinh, Andrew M. Dai, Thang Luong, Quoc V. Le
2017	ICLR	HyperNetworks.	David Ha, Andrew M. Dai, Quoc V. Le
2017	ICLR	Adversarial Training Methods for Semi-Supervised Text Classification.	Takeru Miyato, Andrew M. Dai, Ian J. Goodfellow
2016	CoNLL	Generating Sentences from a Continuous Space.	Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jzefowicz, Samy Bengio
2011	ACL	Language-independent compound splitting with morphological operations.	Klaus Macherey, Andrew M. Dai, David Talbot, Ashok C. Popat, Franz Josef Och
2011	ICANN	The Grouped Author-Topic Model for Unsupervised Entity Resolution.	Andrew M. Dai, Amos J. Storkey