2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
ICML 2022spotlight
In this work we propose a HyperTransformer, a Transformer-based model for supervised and semi-supervised few-shot learning that generates weights of a convolutional neural network (CNN) directly from support samples. Since the dependence of a small generated CNN model on a specific task is encoded b…