| 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 | 32 | 2021 |
| Exploiting Transformer Activation Sparsity with Dynamic Inference M Piórczyński, F Szatkowski, K Bałazy, B Wójcik arXiv preprint arXiv:2310.04361, 2023 | 3 | 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 | 3 | 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 | 2 | 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 | 2 | 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 | 1 | 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 |
