Klaudia Balazy

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Top Venues

EACL (Findings)

Publications

Klaudia Balazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters. CoRR (2024)
Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR (2023)
Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. EACL (Findings) (2023)
Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. CoRR (2023)
Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) (2023)
Mikolaj Piórczynski, Filip Szatkowski, Klaudia Balazy, Bartosz Wójcik
Exploiting Transformer Activation Sparsity with Dynamic Inference. CoRR (2023)
Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero time waste in pre-trained early exit neural networks. Neural Networks 168 (2023)
Piotr Gainski, Klaudia Balazy
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks. EACL (2023)
Piotr Gainski, Klaudia Balazy
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks. CoRR (2023)
Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer
Direction is what you need: Improving Word Embedding Compression in Large Language Models. RepL4NLP@ACL-IJCNLP (2021)
Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer
Direction is what you need: Improving Word Embedding Compression in Large Language Models. CoRR (2021)
Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR (2021)
Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS (2021)
Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
Finding the Optimal Network Depth in Classification Tasks. ECML/PKDD (3) (2020)
Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
Finding the Optimal Network Depth in Classification Tasks. CoRR (2020)