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Weight Space Learning

Learning from populations of neural network models (model zoo), where each model is given by a set of model parameters.

Papers

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Showing 1–6 of 6 papers

TitleStatusHype
Towards Scalable and Versatile Weight Space LearningCode1
Hyper-Representations for Pre-Training and Transfer LearningCode1
The Impact of Model Zoo Size and Composition on Weight Space LearningCode0
Shape Generation via Weight Space Learning—0
On the Internal Representations of Graph Metanetworks—0
Deep Linear Probe Generators for Weight Space Learning—0
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