Bayesian optimization enables adaptive network pruning rates in lifelong learning, performing heavier pruning on small/simple tasks and milder on large/complex ones.
Overcoming catastrophic forgetting by incremental moment matching
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2019 2verdicts
UNVERDICTED 2representative citing papers
BPN adds task-specific beneficial perturbations as biases to neural networks to overcome catastrophic forgetting without storing prior data or expanding the network substantially.
citing papers explorer
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Adaptive Compression-based Lifelong Learning
Bayesian optimization enables adaptive network pruning rates in lifelong learning, performing heavier pruning on small/simple tasks and milder on large/complex ones.
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Beneficial perturbation network for continual learning
BPN adds task-specific beneficial perturbations as biases to neural networks to overcome catastrophic forgetting without storing prior data or expanding the network substantially.