HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks

1 code implementation • 31 May 2022 • M. Przewięźlikowski, P. Przybysz, J. Tabor, M. Zięba, P. Spurek

In this paper, we propose HyperMAML, a novel generalization of MAML, where the training of the update procedure is also part of the model.

Few-Shot Learning

ICA based on Split Generalized Gaussian

no code implementations • 14 Feb 2018 • P. Spurek, P. Rola, J. Tabor, A. Czechowski

Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent.

Active Function Cross-Entropy Clustering

no code implementations • 6 Feb 2015 • P. Spurek, J. Tabor, P. Markowicz

Gaussian Mixture Models (GMM) have found many applications in density estimation and data clustering.

Clustering Density Estimation