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README.md
@@ -54,6 +54,8 @@ python main.py --dataset cifar10 --noise_type symmetric --noise_rate 0.5
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| (Symmetry, 50%) | 91.68% | 74.49% | 41.23% |
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| (Symmetry, 20%) | 97.71% | 82.18% | 54.36% |
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Contact: Xingrui Yu (xingrui.yu@student.uts.edu.au); Bo Han (bo.han@riken.jp).
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+## AutoML
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+Please check the automated machine learning (AutoML) version of Co-teaching in
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+- Searching to Exploit Memorization Effect in Learning from Corrupted Labels. [paper](https://arxiv.org/abs/1911.02377)
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