Computer Science > Machine Learning
[Submitted on 22 Jan 2024 (v1), last revised 8 Apr 2024 (this version, v3)]
Title:INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning
View PDF HTML (experimental)Abstract: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.
Submission history
From: Zhiyuan Wang [view email][v1] Mon, 22 Jan 2024 02:59:27 UTC (3,461 KB)
[v2] Mon, 4 Mar 2024 03:08:53 UTC (3,461 KB)
[v3] Mon, 8 Apr 2024 03:12:52 UTC (3,461 KB)
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