A Unified Approach to Domain Incremental Learning with Memory
Class-incremental learning (CIL) aims to learn a family of classes incrementally with data available in order rather than training all data ...
Exemplar-Free Adaptive Continual Learning with Mixture of ExpertsAbstract?In the era of Large Language Models (LLMs), Knowledge Distillation (KD) emerges as a pivotal methodology for transferring. Incremental Task Learning with Incremental Rank UpdatesThe proposed model leverages a hybrid nested ViT design to en- sure data efficiency and scalability to small as well as large datasets. In contrast to a recent ... Debiased Dual Distilled Transformer for Incremental LearningThe proposed model leverages a hybrid nested ViT design to ensure data efficiency and scalability to small as well as large datasets. In ...
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