Hubert Baniecki
7 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
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Grand Slam
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Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(4)
Deep Learning
(2)
Core Methods
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Clinical
(1)
Domain-Specific
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
model interpretability
(5)
explainable artificial intelligence
(2)
feature attribution
(2)
medical imaging
(1)
responsible ai
(1)
hierarchical representation
(1)
saliency map
(1)
adversarial perturbation
(1)
3d segmentation
(1)
bias analysis
(1)
model explanation
(1)
sparse autoencoder
(1)
tabular data
(1)
semantic concept
(1)
post-hoc explanation
(1)
computed tomography
(1)
shapley value
(1)
shap value
(1)
model transparency
(1)
kernel thinning
(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
shapiq: Shapley Interactions for Machine Learning
NeurIPS 2024
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
AAAI 2022
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
JMLR 2021
Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
AAAI 2021