Z. Nizamani

Mitigating Catastrophic Forgetting in Incremental Learning Using Hybrid Approach: Interleaving Memory Replay and Parameter Regularization for Sequential Text Classification

Catastrophic forgetting is a major challenge for deep learning models when they are incrementally trained on a sequence of new data. Reducing this forgetting in image and video data has been the primary research focus, but less attention has been given to textual domains, where discrete token distributions and semantic...