State of Few-Shot Learning

3 papers · avg viability 7.3

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Local-Global Prompt Learning via Sparse Optimal Transport(8.0)
SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning(7.0)
Noise-aware few-shot learning through bi-directional multi-view prompt alignment(7.0)