DFG

DFG stands for Differential Funnel Gradient, a technique used in machine learning to improve how models learn by guiding them through data more effectively. It adjusts the training process by focusing on challenging examples, helping the model to refine its understanding and make more accurate predictions. Think of it as a way to prioritize learning from the most informative pieces of data, leading to faster and more efficient training. DFG helps models generalize better by emphasizing the differences in data, ensuring they learn more robust and meaningful patterns.