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BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
We show that the accuracy of Reptile, iMAML, and foMAML drops by up to 42% on the Omniglot and CifarFS datasets when meta-training is affected by label noise.
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