3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Interpretable Multi-task Learning with Shared Variable Embeddings
Maciej Żelaszczyk, Jacek Mańdziuk
This paper proposes a general interpretable predictive system with shared information. The system is able to perform predictions in a multi-task setting where distinct tasks are no…
cs.CV2024★ 3 cited
Text-to-Image Cross-Modal Generation: A Systematic Review
Maciej Żelaszczyk, Jacek Mańdziuk
We review research on generating visual data from text from the angle of "cross-modal generation." This point of view allows us to draw parallels between various methods geared tow…
cs.LG2021
Adversarial defenses via a mixture of generators
Maciej Żelaszczyk, Jacek Mańdziuk
In spite of the enormous success of neural networks, adversarial examples remain a relatively weakly understood feature of deep learning systems. There is a considerable effort in…