3 papers
cs.LG2025
Trustworthy Retrosynthesis: Eliminating Hallucinations with a Diverse Ensemble of Reaction Scorers
Michal Sadowski, Tadija RadusinoviÄ, Maria Wyrzykowska +7
Retrosynthesis is one of the domains transformed by the rise of generative models, and it is one where the problem of nonsensical or erroneous outputs (hallucinations) is particula…
cs.CV2025
DetoxAI: a Python Toolkit for Debiasing Deep Learning Models in Computer Vision
Ignacy StÄpka, Lukasz Sztukiewicz, MichaÅ WiliÅski +1
While machine learning fairness has made significant progress in recent years, most existing solutions focus on tabular data and are poorly suited for vision-based classification t…
cs.LG2024
Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise
Lukasz Sztukiewicz, Jack Henry Good, Artur Dubrawski
In the real world, data is often noisy, affecting not only the quality of features but also the accuracy of labels. Current research on mitigating label errors stems primarily from…