LEAN: Loss-Engineered modulation of the model weight-sensitivity distribution for efficient, error-tolerant neural networks
Read the original at arxiv.org→arXiv:2610.28872v1 Announce Type: new Abstract: The weights of a trained network do not have uniform sensitivity to model accuracy: the 1% most sensitive weights carry about a fifth of the damage a bit flip can do....
Original headline: "LEAN: Loss-Engineered Modulation of the Model Weight-Sensitivity Distribution for Efficient, Error-Tolerant Neural Networks"
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- Oct 22, 04:00 UTC arXiv cs.LG lead source LEAN: Loss-Engineered Modulation of the Model Weight-Sensitivity Distribution for Efficient, Error-Tolerant Neural Networks