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20192024
most citedDo We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark

8 citations · 10 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024

LossVal: Efficient Data Valuation for Neural Networks

Tim Wibiral, Mohamed Karim Belaid, Maximilian Rabus +1

Assessing the importance of individual training samples is a key challenge in machine learning. Traditional approaches retrain models with and without specific samples, which is co…

cs.LG2024★ 1 cited

Pairwise Difference Learning for Classification

Mohamed Karim Belaid, Maximilian Rabus, Eyke Hüllermeier

Pairwise difference learning (PDL) has recently been introduced as a new meta-learning technique for regression. Instead of learning a mapping from instances to outcomes in the sta…