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📡 RSS: Optimal Pruning for Neural Architectures using Fisher Information Distances — arXiv:2609.16129v1 Announce Type: new
Abstract: A new scheme for parameter pruning is introduced, derived from the differential-geometric distance in model space. Pruning a parameter sets its value to zero, representing a displacement of the model to the hypersurface on which that parameter vanishe