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Found 3 papers, 2 papers with code
A Study on the Predictability of Sample Learning Consistency
Curriculum Learning is a powerful training method that allows for faster and better training in some settings.
Memory Population in Continual Learning via Outlier Elimination
This paper introduces Memory Outlier Elimination (MOE), a method for identifying and eliminating outliers in the memory buffer by choosing samples from label-homogeneous subpopulations.
Optimizing Reusable Knowledge for Continual Learning via Metalearning
On the other hand, a set of trainable masks provides the key mechanism to selectively choose from the KB relevant weights to solve each task.
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