Entropy-Guided Model Evaluation in Few-Shot Learning applied to clustering-based model selection without classifier training
Read the original at arxiv.org→arXiv:2610.27029v1 Announce Type: new Abstract: The feature-extraction quality of pre-trained models sets the ceiling of downstream transfer learning, yet few-shot model selection remains difficult: supervised...
Original headline: "EGiME: Entropy-Guided Model Evaluation in Few-Shot Learning"
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- Oct 21, 04:00 UTC arXiv cs.LG lead source EGiME: Entropy-Guided Model Evaluation in Few-Shot Learning