Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification

Abstract: We propose unsupervised embedding adaptation for the downstream few-shot classification task. Based on findings that deep neural networks learn to generalize before memorizing, we develop Early-Sta...
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