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Unsupervised Few-Shot Learning

In contrast to supervised few-shot learning, only the unlabeled dataset is available in the pre-training or meta-training stage for unsupervised few-shot learning.

Papers

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Showing 1–10 of 22 papers

TitleStatusHype
BECLR: Batch Enhanced Contrastive Few-Shot LearningCode1
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
Self-Attention Message Passing for Contrastive Few-Shot LearningCode1
Self-Supervision Can Be a Good Few-Shot LearnerCode1
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-RepsCode1
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-LearningCode1
Self-Supervised Prototypical Transfer Learning for Few-Shot ClassificationCode1
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data AugmentationCode1
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot LearningCode1
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot LearningCode0
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