2 papers
cs.LG2024
A Step-by-step Introduction to the Implementation of Automatic Differentiation
Yu-Hsueh Fang, He-Zhe Lin, Jie-Jyun Liu +1
Automatic differentiation is a key component in deep learning. This topic is well studied and excellent surveys such as Baydin et al. (2018) have been available to clearly describe…
cs.LG2024
Exploring space efficiency in a tree-based linear model for extreme multi-label classification
He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin
Extreme multi-label classification (XMC) aims to identify relevant subsets from numerous labels. Among the various approaches for XMC, tree-based linear models are effective due to…