Hyper-Representations

We have two papers and associated code for hyper-representations:

Paper #1 - NeurIPS 2022:

• Paper: Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights, openreview
• Authors: Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
• Code: https://github.com/HSG-AIML/NeurIPS_2022-Generative_Hyper_Representations

Paper #2 - NeurIPS 2022 Track on Datasets and Benchmarks:

• Paper: Model Zoos: A Dataset of Diverse Populations of Neural Network Models, openreview
• Authors: Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
• Code: https://github.com/ModelZoos/ModelZooDataset