Tweeted By @PyTorch

Stochastic Weight Averaging (SWA) is a simple procedure that improves generalization in deep learning over Stochastic Gradient Descent (SGD). PyTorch 1.6 now includes SWA natively. Learn more from @Pavel_Izmailov, @andrewgwils and Vincent: https://t.co/1u5yRwfWXT

— PyTorch (@PyTorch) August 18, 2020