Yanping Huang
Authored Publications
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SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
Zhiruo Wang
Yonatan Bisk
Alex Hauptmann
Lu Jiang
NeurIPS (2023)
Building Machine Translation Systems for the Next Thousand Languages
Julia Kreutzer
Mengmeng Niu
Pallavi Nikhil Baljekar
Xavier Garcia
Maxim Krikun
Pidong Wang
Apu Shah
Zhifeng Chen
Yonghui Wu
Macduff Richard Hughes
Google Research (2022)
LaMDA: Language Models for Dialog Applications
Aaron Daniel Cohen
Alena Butryna
Alicia Jin
Apoorv Kulshreshtha
Ben Zevenbergen
Chung-ching Chang
Cosmo Du
Daniel De Freitas Adiwardana
Dehao Chen
Dmitry (Dima) Lepikhin
Erin Hoffman-John
Igor Krivokon
James Qin
Jamie Hall
Joe Fenton
Johnny Soraker
Kathy Meier-Hellstern
Maarten Paul Bosma
Marc Joseph Pickett
Marcelo Amorim Menegali
Marian Croak
Maxim Krikun
Noam Shazeer
Rachel Bernstein
Ravi Rajakumar
Ray Kurzweil
Romal Thoppilan
Steven Zheng
Taylor Bos
Toju Duke
Tulsee Doshi
Vincent Y. Zhao
Will Rusch
Yuanzhong Xu
Zhifeng Chen
arXiv (2022)
Sparsely Activated Language Models are Efficient In-Context Learners
Barret Richard Zoph
Dmitry (Dima) Lepikhin
Emma Wang
Kathy Meier-Hellstern
Kun Zhang
Liam B. Fedus
Maarten Paul Bosma
Marie Pellat
Maxim Krikun
Nan Du
Simon Tong
Tao Wang
Toju Duke
Yonghui Wu
Yuanzhong Xu
Zhifeng Chen
Zongwei Zhou
(2022)
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
Danyang Zhuo
Hao Zhang
Ion Stoica
Joseph E. Gonzalez
Lianmin Zheng
Yida Wang
Yonghao Zhuang
Yuanzhong Xu
Zhifeng Chen
Zhuohan Li
16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22), USENIX Association (2022), pp. 559-578
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Dmitry (Dima) Lepikhin
Maxim Krikun
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference (2021)
Just Pick a Sign: Reducing Gradient Conflict in Deep Networks with Gradient Sign Dropout
Drago Anguelov
Henrik Kretzschmar
Jiquan Ngiam
Yuning Chai
Zhao Chen
NeurIPS 2020 Submission (2020) (to appear)
GShard: Scaling Giant Models With Conditional Computation and Automatic Sharding
Dehao Chen
Dmitry (Dima) Lepikhin
HyoukJoong Lee
Maxim Krikun
Noam Shazeer
Yuanzhong Xu
Zhifeng Chen
ICLR 2021 (2020) (to appear)
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Youlong Cheng
Dehao Chen
HyoukJoong Lee
Jiquan Ngiam
Yonghui Wu
Zhifeng Chen
NeurIPS (2019)
