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LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks

arXiv cs.LG · 2026-07-10 Cached

Introduces LiST, a training paradigm that uses Lipschitz constraints to achieve robust and calibrated neural networks, selecting optimal operating points on the accuracy-robustness Pareto front. Demonstrates competitive performance on CIFAR and Tiny-ImageNet.

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