Mozhgan PourKeshavarzi

Looking Back on Learned Experiences For Class/task Incremental Learning

Classical deep neural networks are limited in their ability to learn from emerging streams of training data. When trained sequentially on new or evolving tasks, their performance degrades sharply, making them inappropriate in real-world use cases. Existing methods tackle it by either storing old dat…