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Add 3 code links #5

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Sep 23, 2020
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Add 3 code links #5

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Expand Up @@ -1044,8 +1044,6 @@ and L. Van Gool.*
*A. Raghu, M. Raghu, S. Bengio, and O. Vinyals.*
[paper](https://openreview.net/pdf?id=rkgMkCEtPB)

## [Theories](#content)

1. **Learning to learn around a common mean,** in NeurIPS, 2018.
*G. Denevi, C. Ciliberto, D. Stamos, and M. Pontil.*
[paper](https://papers.nips.cc/paper/8220-learning-to-learn-around-a-common-mean.pdf)
Expand All @@ -1065,6 +1063,7 @@ and L. Van Gool.*
1. **The Omniglot challenge: A 3-year progress report,** in Current Opinion in Behavioral Sciences, 2019.
*B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum.*
[paper](https://arxiv.org/abs/1902.03477)
[code](https://github.com/brendenlake/omniglot)

1. **FewRel 2.0: Towards more challenging few-shot relation classification,** in EMNLP, 2019.
*T. Gao, X. Han, H. Zhu, Z. Liu, P. Li, M. Sun, and J. Zhou.*
Expand All @@ -1074,10 +1073,12 @@ and L. Van Gool.*
1. **META-DATASET: A dataset of datasets for learning to learn from few examples,** in ICLR, 2020.
*E. Triantafillou, T. Zhu, V. Dumoulin, P. Lamblin, U. Evci, K. Xu, R. Goroshin, C. Gelada, K. Swersky, P. Manzagol, and H. Larochelle.*
[paper](https://openreview.net/pdf?id=rkgAGAVKPr)
[code](https://github.com/google-research/meta-dataset)

1. **Meta-World: A benchmark and evaluation for multi-task and meta reinforcement learning,** arXiv preprint, 2019.
*T. Yu, D. Quillen, Z. He, R. Julian, K. Hausman, C. Finn, and S. Levine.*
[paper](https://arxiv.org/abs/1910.10897)
[code](https://meta-world.github.io/)

1. **Few-shot object detection with attention-rpn and multi-relation detector,** in CVPR, 2020.
*Q. Fan, W. Zhuo, C.-K. Tang, Y.-W. Tai.*
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