NeurIPS 2019poster411 citations
Meta-Learning Representations for Continual Learning
Abstract
The reviews had two major concerns: lack of a benchmarking on a complex dataset, and unclear writing. To address these two major issues we: 1- Rewrote experiments section with improved terminology to make the paper more clear. Previously we were using the term Pretraining to refer to both a baseline and the meta-training stage. As the reviewers pointed out, this was confusing. We have replaced one of the usages with 'meta-training.' We have also changed evaluation to meta-testing. 2- Added mini-imagenet experiments to show that the proposed method scales to more complex datasets.
BibTeX
@inproceedings{NEURIPS2019_f4dd765c,
author = {Javed, Khurram and White, Martha},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Meta-Learning Representations for Continual Learning},
url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/f4dd765c12f2ef67f98f3558c282a9cd-Paper.pdf},
volume = {32},
year = {2019}
}