AINeutralarXiv – CS AI · 6h ago6/10
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DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
Researchers introduce DISCO, a machine learning framework that uses conditional distance correlation to mitigate dataset bias in deep learning models. By grounding the approach in causal theory through the Standard Anti-Causal Model (SAM), the method achieves competitive performance across multiple datasets while requiring fewer hyperparameters than existing bias mitigation techniques.