Selected books
- Jacek Tabor, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Maciej Wołczyk, „Głębokie uczenie. Wprowadzenie”, Helion, 2022
Most significant publications
- Bartosz Zieliński, Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) 38 (19) (2024), 21563 - 21573
- Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor, Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training, Advances in Neural Information Processing Systems [NeurIPS](MAIN) Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (2023), 55160--55192
- Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński, Zero time waste in pre-trained early exit neural networks, Neural Networks 168 (2023), 580-601
- Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba, Jacek Tabor, Marek Śmieja, Contrastive Hierarchical Clustering, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] Lecture Notes in Computer Science(), vol 14169. Springer, Cham. (2023), 627–643
- Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński, SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
Recent publications
- Patryk Krukowski, Jan Miksa, Piotr Helm, Jacek Tabor, Paweł Wawrzyński, Przemysław Spurek, InTAct: Interval-based Task Activation Consolidation for Continual Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2027),
- Piotr Borycki, Magdalena Trędowicz, Jacek Tabor, Łukasz Struski, Przemysław Spurek, ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2027),
- Joanna Waczyńska, Piotr Borycki, Sławomir K. Tadeja, Jacek Tabor, Przemysław Spurek, GaMeS: Mesh-based adapting and modification of Gaussian Splatting, Pattern Recognition 181 (2027), 114561
- Szymon Płotka, Gizem Mert, Pedro Bassi, Wenxuan Li, Zongwei Zhou, Anna Marcinkiewicz, Wiktoria Romańczyk, Jarosław Ćwikła, Łukasz Struski, Ewa Szczurek, Jacek Tabor, Arkadiusz Sitek, Anatomy-Activated Mixture-of-Experts for 3D Medical Vision-Language Pre-training, Advances in Neural Information Processing Systems [NeurIPS], (2026),
- Łukasz Struski, Hanna Blazhko, Piotr Kubaty, Jacek Tabor, LAPLEX: The FFT of Learnable Laplace Kernels, Advances in Neural Information Processing Systems [NeurIPS], (2026),
Interests
Artificial intelligence, deep neural networks, machine learning, AI applications in medicine and industry
Jacek Tabor
academic degree/title Professor positionresearch and faculty staff member group, professor
unit
- Division of Machine Learning
- Institute of Computer Science and Computational Mathematics
- Group of Machine Learning Research (GMUM)
jacek.tabor@uj.edu.pl
www