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Jacek Tabor

15 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

AAAI ×3ECAI ×3ICML ×3ICLR ×2EMNLP ×1NeurIPS ×1SDM ×1WACV ×1

Frequent coauthors

Przemyslaw Spurek
×5
Lukasz Struski
×5
Tomasz Kusmierczyk
×3
Dawid Rymarczyk
×3
Piotr Borycki
×2
Magdalena Tredowicz
×2
Szymon Janusz
×2
Arkadiusz Lewicki
×2
Klaudia Balazy
×2
Bartosz Zielinski
×2
Patryk Marszalek
×2
Witold Wydmanski
×2

Papers

  1. EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
    AAAI 2026 ·
    Piotr Borycki
    ,
    Magdalena Tredowicz
    ,
    Szymon Janusz
    , Jacek Tabor,
    Przemyslaw Spurek
    ,
    Arkadiusz Lewicki
    ,
    Lukasz Struski
  2. Classifier-Free Guidance with Adaptive Scaling
    ECAI 2025 ·
    Dawid Malarz
    ,
    Artur Kasymov
    ,
    Maciej Zieba
    , Jacek Tabor,
    Przemyslaw Spurek
  3. FreSh: Frequency Shifting for Accelerated Neural Representation Learning
    ICLR 2025 ·
    Adam Kania
    ,
    Marko Mihajlovic
    ,
    Sergey Prokudin
    , Jacek Tabor,
    Przemyslaw Spurek
  4. GeoGuide: Geometric Guidance of Diffusion Models
    WACV 2025 ·
    Mateusz Poleski
    , Jacek Tabor,
    Przemyslaw Spurek
  5. Hypernetwork Approach to Bayesian MAML (Student Abstract)
    AAAI 2025 ·
    Piotr Borycki
    ,
    Piotr Kubacki
    ,
    Marcin Przewiezlikowski
    ,
    Tomasz Kusmierczyk
    , Jacek Tabor,
    Przemyslaw Spurek
  6. LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
    ICML 2025 ·
    Lukasz Struski
    ,
    Michal B. Bednarczyk
    ,
    Igor T. Podolak
    , Jacek Tabor
  7. LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
    ECAI 2025 ·
    Klaudia Balazy
    ,
    Mohammadreza Banaei
    ,
    Karl Aberer
    , Jacek Tabor
  8. LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
    ICLR 2025 ·
    Mateusz Pach
    ,
    Koryna Lewandowska
    , Jacek Tabor,
    Bartosz Michal Zielinski
    ,
    Dawid Damian Rymarczyk
  9. Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
    EMNLP 2025 ·
    Patryk Marszalek
    ,
    Klaudia Balazy
    , Jacek Tabor,
    Tomasz Kusmierczyk
  10. PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification
    ECAI 2025 ·
    Magdalena Tredowicz
    ,
    Marcin Mazur
    ,
    Szymon Janusz
    ,
    Arkadiusz Lewicki
    , Jacek Tabor,
    Lukasz Struski
  11. SEMU: Singular Value Decomposition for Efficient Machine Unlearning
    ICML 2025 ·
    Marcin Sendera
    ,
    Lukasz Struski
    ,
    Kamil Ksiazek
    ,
    Kryspin Musiol
    , Jacek Tabor,
    Dawid Damian Rymarczyk
  12. VisTabNet: Adapting Vision Transformers for Tabular Data
    SDM 2025 ·
    Witold Wydmanski
    ,
    Ulvi Movsum-zada
    , Jacek Tabor,
    Marek Smieja
  13. ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
    NeurIPS 2025 ·
    Patryk Marszalek
    ,
    Tomasz Kusmierczyk
    ,
    Witold Wydmanski
    , Jacek Tabor,
    Marek Smieja
  14. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    AAAI 2024 ·
    Mikolaj Sacha
    ,
    Bartosz Jura
    ,
    Dawid Rymarczyk
    ,
    Lukasz Struski
    , Jacek Tabor,
    Bartosz Zielinski
  15. Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
    ICML 2024 ·
    Aleksandra Nowak
    ,
    Lukasz Gniecki
    ,
    Filip Szatkowski
    , Jacek Tabor