Papers by He-Zhe Lin
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification (2024.emnlp-main)
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| Challenge: | Extreme multi-label classification (XMC) aims to identify relevant subsets from numerous labels. |
| Approach: | They propose to store a tree model under the assumption of sparse data under the condition that some features may be unused when training binary classifiers in a trees method. |
| Outcome: | The proposed method can save 10% of the size of the standard one-vs-rest method for multi-label classification. |