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cs.LG2026
Boosting Meta-Learning for Few-Shot Text Classification via Label-guided Distance Scaling
Yunlong Gao, Xinyue Liu, Yingbo Wang +2
Few-shot text classification aims to recognize unseen classes with limited labeled text samples. Existing approaches focus on boosting meta-learners by developing complex algorithm…
cs.LG2019★ 16 cited
Spectral Perturbation Meets Incomplete Multi-view Data
Hao Wang, Linlin Zong, Bing Liu +2
Beyond existing multi-view clustering, this paper studies a more realistic clustering scenario, referred to as incomplete multi-view clustering, where a number of data instances ar…