This paper introduces INCPrompt, an innovative continual learning solution
that effectively addresses catastrophic forgetting. INCPrompt's key innovation
lies in its use of adaptive key-learner and task-aware prompts that capture
task-relevant information. This unique combination encapsulates general
knowledge across tasks and encodes task-specific knowledge. Our comprehensive
evaluation across multiple continual learning benchmarks demonstrates
INCPrompt's superiority over existing algorithms, showing its effectiveness in
mitigating catastrophic forgetting while maintaining high performance. These
results highlight the significant impact of task-aware incremental prompting on
continual learning performance.

本文介绍了 INCPrompt，一种创新的连续学习解决方案，有效地解决了灾难性遗忘问题。INCPrompt 的关键创新在于使用了自适应关键学习者和任务感知提示，捕捉任务相关信息。通过在多个连续学习基准测试中进行全面评估，我们证明了 INCPrompt 相对于现有算法的优越性，显示了其在缓解灾难性遗忘的同时保持高性能的效果。这些结果突显了任务感知增量提示对连续学习性能的重要影响。