Class-incremental learning (CIL) suffers from the notorious dilemma betw...
Selecting an appropriate optimizer for a given problem is of major inter...
Data science and machine learning (DS/ML) are at the heart of the recent...
Learning to optimize (L2O) has gained increasing attention since classic...
Pretrained models from self-supervision are prevalently used in fine-tun...
As application demands for zeroth-order (gradient-free) optimization
acc...