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Kunpeng Li

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Aug 2026

Random Sparse Networks Training with Sharpness-Aware Regularization.

Over-parameterization is critical for optimizing neural networks, whereas training sparse networks directly often fails to achieve satisfactory performance. However, the Lottery Ticket Hypothesis (LTH) demonstrates that a randomly initialized dense model has a sparse subnetwork that can be identified through iterative...

Yue Bai, Mingyuan Zhang, Huan Wang et al. · 0 citations

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