Prototypical Contrastive Learning For Improved Few-Shot Audio Classification

Christos Sgouropoulos, Christos Nikou, Stefanos Vlachos +3

Few-shot learning has emerged as a powerful paradigm for training models with limited labeled data, addressing challenges in scenarios where large-scale annotation is impractical.…