Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its ...

Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where internal ...

Have you ever tried to intentionally forget something you had already learned? You can imagine how difficult it would be. As it turns out, it's also difficult for machine learning (ML) models to ...

Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.