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12/10/2020
Flexible Few-Shot Learning with Contextual Similarity
Existing approaches to few-shot learning deal with tasks that have persi...
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07/20/2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Few-shot classification (FSC), the task of adapting a classifier to unse...
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12/14/2018
Learning Latent Subspaces in Variational Autoencoders
Variational autoencoders (VAEs) are widely used deep generative models c...
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03/02/2018
Meta-Learning for Semi-Supervised Few-Shot Classification
In few-shot classification, we are interested in learning algorithms tha...
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03/15/2017
