It looks like there's only one paper in this tag, so it's history isn't too exciting,
but you can still check it out below!
This paper introduces a novel framework called Task-aware Expandable (TaE) to address challenges in long-tail class incremental learning. TaE dynamically allocates and updates a small subset of task-specific trainable parameters to learn representations tailored to each new incremental task, while resisting forgetting through freezing the majority of model parameters. A...