ADOPT: A Universal Adaptive Gradient Method for Reliable Convergence without Hyperparameter Tuning
Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to…