Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
By Konstantin Schürholt, Dimche Kostadinov, Damian Borth. 2021
63 citations recorded by the source corpus.
Subfields: Representation & Self-Supervised Learning
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In Representation & Self-Supervised Learning
- Alexei A. Efros
- Jitendra Malik
- Ilija Radosavovic
- Abhinav Kumar Gupta
- Andrea Vedaldi
- Andrew Zisserman
- Antonio Torralba
- Ishan Misra
Citations in the corpus
- Learning to Learn with Generative Models of Neural Network Checkpoints (2022, methodology): “If we apply some permutation to the outgoing weights (and biases) of the input layer and to the incoming weights of the next layer, the output of the neural network will be preserved (Roeder et al., 2021; Sch¨urholt et al., 2021).”