4 papers
A Model Zoo of Vision Transformers
Damian Falk, Léo Meynent, Florence Pfammatter +2
The availability of large, structured populations of neural networks - called 'model zoos' - has led to the development of a multitude of downstream tasks ranging from model analys…
The Impact of Model Zoo Size and Composition on Weight Space Learning
Damian Falk, Konstantin Schürholt, Damian Borth
Re-using trained neural network models is a common strategy to reduce training cost and transfer knowledge. Weight space learning - using the weights of trained models as data moda…
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
Léo Meynent, Ivan Melev, Konstantin Schürholt +2
The weights of neural networks (NNs) have recently gained prominence as a new data modality in machine learning, with applications ranging from accuracy and hyperparameter predicti…
Hyper-Representations: Learning from Populations of Neural Networks
Konstantin Schürholt
This thesis addresses the challenge of understanding Neural Networks through the lens of their most fundamental component: the weights, which encapsulate the learned information an…