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Na- tional University of Singapore
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Forgetting specific data without sacrificing model performance just got a theoretical boost鈥擧AMU guarantees improvements in unlearning quality based on data hardness.
Forget exponential complexity: Adalina slashes the query complexity for approximating Shapley values with a provably adaptive, linear-time, linear-space algorithm.
Forget black-box clustering: WISE delivers state-of-the-art performance on mixed-type data while providing transparent, feature-level explanations grounded in the same primitives that drive clustering.
