Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Existing continual learning literature relies heavily on a strong assumption that tasks arrive with a balanced data stream, which is often unrealistic in real-world applications. In this work, we explore task-imbalanced continual learning (TICL) scenarios where the distribution of task data is non-u...
Saved in:
Main Authors | , , , , , , |
---|---|
Format | Journal Article |
Language | English |
Published |
22.04.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!