Web: http://arxiv.org/abs/2207.09455

Sept. 16, 2022, 1:12 a.m. | Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto

cs.LG updates on arXiv.org arxiv.org

Recent advances in deep learning optimization showed that, with some
a-posteriori information on fully-trained models, it is possible to match the
same performance by simply training a subset of their parameters. Such a
discovery has a broad impact from theory to applications, driving the research
towards methods to identify the minimum subset of parameters to train without
look-ahead information exploitation. However, the methods proposed do not match
the state-of-the-art performance, and rely on unstructured sparsely connected
models. In this work …

arxiv equilibrium neurons

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