From Isolation to Integration: Building an Adaptive Expert Forest for Pre-Trained Model-based Class-Incremental Learning

Ali Nemati5 days ago24 sec read15 views

Researchers propose Semantic-guided Adaptive Expert Forest (SAEF), a method for class-incremental learning that organizes adapters into a structured hierarchy to prevent knowledge forgetting and enhance task-related knowledge sharing. This approach significantly improves model adaptability and performance in handling new classes without losing existing knowledge, offering content creators advanced tools for continuous learning models.

Read the full article at arXiv cs.LG (ML)

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