MANGO combines gradient-gating and meta-learned regularization to balance stability and plasticity in single-pass online continual learning, reporting state-of-the-art accuracy on CLEAR-10, CIFAR-100, and Tiny-ImageNet.
Small- task incremental learning.CoRR, abs/2004.13513, 2020
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MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
MANGO combines gradient-gating and meta-learned regularization to balance stability and plasticity in single-pass online continual learning, reporting state-of-the-art accuracy on CLEAR-10, CIFAR-100, and Tiny-ImageNet.