An exponential moving average of weights consistently improves generalization, label-noise robustness, prediction consistency, calibration, and transfer learning for image classifiers.
Early weight averaging meets high learning rates for llm pre-training,
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Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits
An exponential moving average of weights consistently improves generalization, label-noise robustness, prediction consistency, calibration, and transfer learning for image classifiers.