已被顶级Q1期刊IEEE Transactions on Cybernetics接收
IEEE: Decoder Choice Network for Meta-Learning
arXiv: Decoder Choice Network for Meta-Learning
Abstract
We design a new optimization-based model with a new task embedding in order to get better performance on Omniglot and miniImageNet dataset. As a result, We achieved a lot of state-of-the-art in experiments. Among them, a structure similar to searching rule is combined in the model. The paper is still in the submission, so the details of the model cannot be given here.
