Przemyslaw Biecek

14 papers · 2018–2025 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🏆 Keyword Champion (2) 🌈 Renaissance Researcher (6) ❓ The Questioner (3) 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (63)

Venues

ICML (3) AAAI (2) EMNLP (2) ICLR (2) CoNLL (1) ECCV (1) JMLR (1) MICCAI (1) WACV (1)

Top co-authors

Hubert Baniecki (5) Anna Wróblewska (3) Barbara Rychalska (2) Dominika Basaj (2) Maciej Chrabaszcz (2) Bernd Bischl (1) Matthew Tivnan (1) Bartlomiej Sobieski (1) Daniel Ziembicki (1) Alicja Wójcicka (1)

Research topics

Artificial Intelligence (9) Core AI (9) Deep Learning (4) Machine Learning (4) Computer Vision (2) Natural Language Processing (2) Analysis (2) Applications (2) Architectures (2) Core Methods (2) Learning Types (2) Healthcare & Medicine (1) Interdisciplinary (1) Robotics (1) Capabilities (1)

Keywords

model interpretability (4) feature importance (2) question answering (2) model validation (2) explainable artificial intelligence (2) named entity recognition (1) model evaluation (1) natural language processing (1) 3d segmentation (1) feature attribution (1) hierarchical representation (1) saliency map (1) spatial context (1) context (1) adversarial perturbation (1) recurrent neural network (1) image inpainting (1) local explanation (1) responsible ai (1) medical imaging (1)

Papers

Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models WACV 2025 Efficient and Accurate Explanation Estimation with Distribution Compression ICLR 2025 Interpreting CLIP with Hierarchical Sparse Autoencoders ICML 2025 Rethinking Visual Counterfactual Explanations Through Region Constraint ICLR 2025 Global Counterfactual Directions ECCV 2024 Position: Do Not Explain Vision Models Without Context ICML 2024 Position: Explain to Question not to Justify ICML 2024 Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation MICCAI 2024 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Responsible Prediction Making of COVID-19 Mortality (Student Abstract) AAAI 2021 Named Entity Recognition - Is There a Glass Ceiling? CoNLL 2019 DALEX: Explainers for Complex Predictive Models in R JMLR 2018 Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System EMNLP 2018 How much should you ask? On the question structure in QA systems. EMNLP 2018