74 citations · 140 across the 34 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…
Cascade context encoder for improved inpainting
Bartosz Zieliński, Łukasz Struski, Marek Śmieja +1
In this paper, we analyze if cascade usage of the context encoder with increasing input can improve the results of the inpainting. For this purpose, we train context encoder for 64…