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cs.LG2024
μP: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling
Moritz Haas, Jin Xu, Volkan Cevher +1
Sharpness Aware Minimization (SAM) enhances performance across various neural architectures and datasets. As models are continually scaled up to improve performance, a rigorous und…
cs.LG2024
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Despite the growing popularity of explainable and interpretable machine learning, there is still surprisingly limited work on inherently interpretable clustering methods. Recently,…