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Hakan Brunzell

2 accepted papers

2025

Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels

AAAI 2025technical

Probability calibration transforms raw output of a classification model into empirically interpretable probability. When the model is purposed to detect rare event and only a small expensive data source has clean labels, it becomes extraordinarily challenging to obtain accurate probability calibrati…

Cited by 0SourcePDFScholar
2024

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

AAAI 2024technical

Self-supervised representation learning methods have achieved significant success in computer vision and natural language processing (NLP), where data samples exhibit explicit spatial or semantic dependencies. However, applying these methods to tabular data is challenging due to the less pronounced…

Cited by 54SourcePDFScholar