2 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
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…
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann +1
The behavior of many Bayesian models used in machine learning critically depends on the choice of prior distributions, controlled by some hyperparameters that are typically selecte…