11 citations · 23 across the 6 of their papers we have counts for
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cs.LG2020
Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization
Huiping Zhuang, Zhiping Lin, Kar-Ann Toh
Decoupled learning is a branch of model parallelism which parallelizes the training of a network by splitting it depth-wise into multiple modules. Techniques from decoupled learnin…
cs.LG2018★ 8 cited
Gradient-Free Learning Based on the Kernel and the Range Space
Kar-Ann Toh, Zhiping Lin, Zhengguo Li +2
In this article, we show that solving the system of linear equations by manipulating the kernel and the range space is equivalent to solving the problem of least squares error appr…
cs.LG2018
Deterministic Stretchy Regression
Kar-Ann Toh, Lei Sun, Zhiping Lin
An extension of the regularized least-squares in which the estimation parameters are stretchable is introduced and studied in this paper. The solution of this ridge regression with…