Meta-Learning without Memorization

ICLR 2020 Mingzhang YinGeorge TuckerMingyuan ZhouSergey LevineChelsea Finn

The ability to learn new concepts with small amounts of data is a critical aspect of intelligence that has proven challenging for deep learning methods. Meta-learning has emerged as a promising technique for leveraging data from previous tasks to enable efficient learning of new tasks... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Few-Shot Image Classification OMNIGLOT - 1-Shot, 20-way MR-MAML Accuracy 83.3% # 18
Few-Shot Image Classification OMNIGLOT - 5-Shot, 20-way MR-MAML Accuracy 94.1% # 18

Methods used in the Paper


METHOD TYPE
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