EVE: A Task-Adaptive Optimization Algorithm for Balanced Multitask Learning

Optimization plays a central role in multitask learning (MTL), yet widely used optimizers such as Adam and AdamW assume uniform parameter updates across tasks, often leading to optimization bias where simpler objectives dominate training. This paper proposes Extensive Variational Estimation (EVE), a... View More