1 code implementation • 10 Feb 2023 • Piotr Gaiński, Klaudia Bałazy
We propose a novel gradient-based attack against transformer-based language models that searches for an adversarial example in a continuous space of token probabilities.
1 code implementation • 8 Feb 2023 • Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
Recent transformer language models achieve outstanding results in many natural language processing (NLP) tasks.
1 code implementation • ACL (RepL4NLP) 2021 • Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer
The adoption of Transformer-based models in natural language processing (NLP) has led to great success using a massive number of parameters.
1 code implementation • NeurIPS 2021 • Maciej Wołczyk, Bartosz Wójcik, Klaudia Bałazy, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
The problem of reducing processing time of large deep learning models is a fundamental challenge in many real-world applications.
1 code implementation • 17 Apr 2020 • Bartosz Wójcik, Maciej Wołczyk, Klaudia Bałazy, Jacek Tabor
We develop a fast end-to-end method for training lightweight neural networks using multiple classifier heads.