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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

Title	Date	Tasks	Status	Hype
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning	Aug 23, 2024	Contrastive LearningFew-Shot Learning	CodeCode Available	0
BECLR: Batch Enhanced Contrastive Few-Shot Learning	Feb 4, 2024	Contrastive LearningFew-Shot Image Classification	CodeCode Available	1
Contrastive Prototypical Network with Wasserstein Confidence Penalty	Oct 21, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1
Self-Attention Message Passing for Contrastive Few-Shot Learning	Oct 12, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps	Oct 7, 2022	Few-Shot LearningLinear evaluation	—Unverified	0
Self-Supervision Can Be a Good Few-Shot Learner	Jul 19, 2022	cross-domain few-shot learningFew-Shot Image Classification	CodeCode Available	1
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings	Jul 22, 2021	Few-Shot LearningRepresentation Learning	CodeCode Available	0
Trainable Class Prototypes for Few-Shot Learning	Jun 21, 2021	Few-Shot LearningMetric Learning	—Unverified	0
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps	Apr 28, 2021	Computational EfficiencyFew-Shot Learning	CodeCode Available	1
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning	Jan 1, 2021	Meta-LearningUnsupervised Few-Shot Image Classification	CodeCode Available	1

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