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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

Piotr Borycki
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Patryk Marszalek
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Dawid Malarz
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Adam Kania
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Mateusz Poleski
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Lukasz Struski
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Klaudia Balazy
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Mateusz Pach
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Magdalena Tredowicz
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Marcin Sendera
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Witold Wydmanski
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Mikolaj Sacha
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Papers

  1. EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
    AAAI 2026 ·
    Piotr Borycki
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  2. Classifier-Free Guidance with Adaptive Scaling
    ECAI 2025 ·
    Dawid Malarz
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  3. FreSh: Frequency Shifting for Accelerated Neural Representation Learning
    ICLR 2025 ·
    Adam Kania
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  4. GeoGuide: Geometric Guidance of Diffusion Models
    WACV 2025 ·
    Mateusz Poleski
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  5. Hypernetwork Approach to Bayesian MAML (Student Abstract)
    AAAI 2025 ·
    Piotr Borycki
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  6. LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
    ICML 2025 ·
    Lukasz Struski
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  7. LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
    ECAI 2025 ·
    Klaudia Balazy
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  8. LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
    ICLR 2025 ·
    Mateusz Pach
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  9. Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
    EMNLP 2025 ·
    Patryk Marszalek
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  10. PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification
    ECAI 2025 ·
    Magdalena Tredowicz
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  11. SEMU: Singular Value Decomposition for Efficient Machine Unlearning
    ICML 2025 ·
    Marcin Sendera
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  12. VisTabNet: Adapting Vision Transformers for Tabular Data
    SDM 2025 ·
    Witold Wydmanski
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  13. ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
    NeurIPS 2025 ·
    Patryk Marszalek
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  14. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    AAAI 2024 ·
    Mikolaj Sacha
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  15. Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization
    ICML 2024 ·
    Aleksandra Nowak
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