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On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches
It is well-known that a neural network learning process—along with its connections to fitting, compression, and generalization—is not yet well understood. In this paper, we propose a novel approach to capturing such neural network dynamics using information-bottleneck-type techniques, involving the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377965/ https://www.ncbi.nlm.nih.gov/pubmed/37510010 http://dx.doi.org/10.3390/e25071063 |