https://nalar.dev/tags/continual-learning/ Recent content in Continual Learning on Nalar Hugo en-us Mon, 07 Sep 2026 00:00:00 +0700 https://nalar.dev/prevent-catastrophic-forgetting-in-continual-learning/ Mon, 07 Sep 2026 00:00:00 +0700 https://nalar.dev/prevent-catastrophic-forgetting-in-continual-learning/ <p>Updating a neural network with new data sounds straightforward: continue training on the new examples and deploy the improved model. The difficulty is that an update which helps the new data can damage behavior the model learned earlier. A classifier that learns a new group of products, for example, may become worse at recognizing older groups even though those old classes never changed.</p> <p>This failure is called <strong>catastrophic forgetting</strong>. It is especially important in continual learning, where a model learns from a sequence of tasks or data distributions instead of training once on a fixed mixed dataset.</p>