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Found 4 papers, 1 papers with code
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Furthermore, InfLoRA designs this subspace to eliminate the interference of the new task on the old tasks, making a good trade-off between stability and plasticity.
Adaptive Plasticity Improvement for Continual Learning
Besides the ability to overcome CF on old tasks, API also tries to evaluate the model's plasticity and then adaptively improve the model's plasticity for learning a new task if necessary.
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning
But class distribution in memory is critical for replay-based memory to get good performance, especially when the class distribution in data stream is highly imbalanced.
Optimizing Class Distribution in Memory for Multi-Label Continual Learning
Most existing replay-based methods focus on single-label problems in which each sample in the data stream has only one label.
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