| Zero time waste: Recycling predictions in early exit neural networks M Wołczyk, B Wójcik, K Bałazy, IT Podolak, J Tabor, M Śmieja, T Trzcinski Advances in Neural Information Processing Systems 34, 2516-2528, 2021 | 43 | 2021 |
| LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters K Bałazy, M Banaei, K Aberer, J Tabor arXiv preprint arXiv:2405.17604, 2024 | 11 | 2024 |
| Exploiting transformer activation sparsity with dynamic inference M Piórczyński, F Szatkowski, K Bałazy, B Wójcik arXiv preprint arXiv:2310.04361, 2023 | 7 | 2023 |
| Zero time waste in pre-trained early exit neural networks B Wójcik, M Przewiȩźlikowski, F Szatkowski, M Wołczyk, K Bałazy, ... Neural Networks 168, 580-601, 2023 | 6 | 2023 |
| Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks P Gaiński, K Bałazy Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 6 | 2023 |
| Direction is what you need: Improving Word Embedding Compression in Large Language Models K Bałazy, M Banaei, R Lebret, J Tabor, K Aberer Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021 | 5 | 2021 |
| r-softmax: Generalized Softmax with Controllable Sparsity Rate K Bałazy, Ł Struski, M Śmieja, J Tabor Computational Science – ICCS 2023 14074 (Lecture Notes in Computer Science …, 2023 | 2 | 2023 |
| Finding the optimal network depth in classification tasks B Wójcik, M Wołczyk, K Bałazy, J Tabor Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 1 | 2021 |
| Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models M Banaei, K Bałazy, A Kasymov, R Lebret, J Tabor, K Aberer Findings of the Association for Computational Linguistics: EACL 2023, 1788–1805, 2023 | | 2023 |
