no code implementations • 20 Dec 2023 • Stanisław Giziński, Paulina Kaczyńska, Hubert Ruczyński, Emilia Wiśnios, Bartosz Pieliński, Przemysław Biecek, Julian Sienkiewicz
This suggests that the notion of Big Tech domination over AI research is oversimplified in the discourse.
no code implementations • 11 Dec 2023 • Jan Piotrowski, Marek Wachnicki, Mateusz Perlik, Jakub Podolak, Grzegorz Rucki, Michał Brzozowski, Paweł Olejnik, Julian Kozłowski, Tomasz Nocoń, Jakub Kozieł, Stanisław Giziński, Piotr Sankowski
Inspired by the success of the CLIP model in computer vision, which employs contrastive learning to model similarities between images and captions, this paper introduces a contrastive learning approach for training a representation space where linked articles and tweets exhibit proximity.
no code implementations • Machine Learning for Drug Discovery Workshop, ICLR 2023 • Stanisław Giziński, Grzegorz Preibisch, Piotr Kucharski, Michał Tyrolski, Michał Rembalski, Piotr Grzegorczyk, Anna Gambin
The Major Histocompatibility Complex (MHC) is a crucial component of the cellular immune system in vertebrates, responsible for, among others, presenting peptides derived from intracellular proteins.
1 code implementation • 25 Feb 2023 • Piotr Wilczyński, Artur Żółkowski, Mateusz Krzyziński, Emilia Wiśnios, Bartosz Pieliński, Stanisław Giziński, Julian Sienkiewicz, Przemysław Biecek
This paper introduces HADES, a novel tool for automatic comparative documents with similar structures.
no code implementations • 10 Nov 2022 • Artur Żółkowski, Mateusz Krzyziński, Piotr Wilczyński, Stanisław Giziński, Emilia Wiśnios, Bartosz Pieliński, Julian Sienkiewicz, Przemysław Biecek
The number of standardized policy documents regarding climate policy and their publication frequency is significantly increasing.