33 citations · 49 across the 6 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
eess.IV2021★ 8 cited
Memory-Efficient Network for Large-scale Video Compressive Sensing
Ziheng Cheng, Bo Chen, Guanliang Liu +4
Video snapshot compressive imaging (SCI) captures a sequence of video frames in a single shot using a 2D detector. The underlying principle is that during one exposure time, differ…
cs.LG2021★ 33 cited
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li, Siyuan Zhuang, Shiyuan Guo +4
Model parallelism has become a necessity for training modern large-scale deep language models. In this work, we identify a new and orthogonal dimension from existing model parallel…
cs.LG2021★ 3 cited
Reinforcement Learning for Flexibility Design Problems
Yehua Wei, Lei Zhang, Ruiyi Zhang +3
Flexibility design problems are a class of problems that appear in strategic decision-making across industries, where the objective is to design a (, manufacturing) network t…