Christopher Inskip

RealPatch: A Statistical Matching Framework for Model Patching with Real Samples

"Machine learning classifiers are typically trained to minimise the average error across a dataset. Unfortunately, in practice, this process often exploits spurious correlations caused by subgroup imbalance within the training data, resulting in high average performance but highly variable performan…