Weight Space Learning
1 papers with code • 0 benchmarks • 0 datasets
Learning from populations of neural network models (model zoo), where each model is given by a set of model parameters.
Benchmarks
These leaderboards are used to track progress in Weight Space Learning
Most implemented papers
Hyper-Representations for Pre-Training and Transfer Learning
hsg-aiml/neurips_2021-weight_space_learning
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Learning representations of neural network weights given a model zoo is an emerging and challenging area with many potential applications from model inspection, to neural architecture search or knowledge distillation.
