2 citations · 4 across the 3 of their papers we have counts for
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cs.LG2022★ 1 cited
Hypernetwork approach to Bayesian MAML
Piotr Borycki, Piotr Kubacki, Marcin Przewięźlikowski +3
The main goal of Few-Shot learning algorithms is to enable learning from small amounts of data. One of the most popular and elegant Few-Shot learning approaches is Model-Agnostic M…
cs.LG2020★ 1 cited
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows
Tomasz Kuśmierczyk, Arto Klami
Variational approximations are increasingly based on gradient-based optimization of expectations estimated by sampling. Handling discrete latent variables is then challenging becau…