76 citations · 257 across the 98 of their papers we have counts for
3 papers · 1 filter
Set Aggregation Network as a Trainable Pooling Layer
Łukasz Maziarka, Marek Śmieja, Aleksandra Nowak +3
Global pooling, such as max- or sum-pooling, is one of the key ingredients in deep neural networks used for processing images, texts, graphs and other types of structured data. Bas…
Processing of missing data by neural networks
Marek Smieja, Łukasz Struski, Jacek Tabor +2
We propose a general, theoretically justified mechanism for processing missing data by neural networks. Our idea is to replace typical neuron's response in the first hidden layer b…
ICA based on Split Generalized Gaussian
P. Spurek, P. Rola, J. Tabor +1
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. Most popular…