Task-robust model-agnostic meta-learning
L Collins, A Mokhtari… - Advances in Neural …, 2020 - proceedings.neurips.cc
Meta-learning methods have shown an impressive ability to train models that rapidly learn
new tasks. However, these methods only aim to perform well in expectation over tasks …
new tasks. However, these methods only aim to perform well in expectation over tasks …
Task-Robust Model-Agnostic Meta-Learning
L Collins, A Mokhtari, S Shakkottai - arXiv preprint arXiv:2002.04766, 2020 - arxiv.org
Meta-learning methods have shown an impressive ability to train models that rapidly learn
new tasks. However, these methods only aim to perform well in expectation over tasks …
new tasks. However, these methods only aim to perform well in expectation over tasks …
Task-Robust Model-Agnostic Meta-Learning
L Collins, A Mokhtari… - Advances in Neural …, 2020 - proceedings.neurips.cc
Meta-learning methods have shown an impressive ability to train models that rapidly learn
new tasks. However, these methods only aim to perform well in expectation over tasks …
new tasks. However, these methods only aim to perform well in expectation over tasks …
Task-Robust Model-Agnostic Meta-Learning
L Collins, A Mokhtari, S Shakkottai - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Meta-learning methods have shown an impressive ability to train models that rapidly learn
new tasks. However, these methods only aim to perform well in expectation over tasks …
new tasks. However, these methods only aim to perform well in expectation over tasks …
Task-robust model-agnostic meta-learning
L Collins, A Mokhtari, S Shakkottai - Proceedings of the 34th International …, 2020 - dl.acm.org
Meta-learning methods have shown an impressive ability to train models that rapidly learn
new tasks. However, these methods only aim to perform well in expectation over tasks …
new tasks. However, these methods only aim to perform well in expectation over tasks …