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Momentum based optimizers are central to a wide range of machine learning applications.
A stochastic approximation method
H. Robbins and S. Monro · 1951
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Yurii Nesterov · 1983
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Optimal methods of smooth convex minimization
Arkaddii S Nemirovskii and Yu E Nesterov · 1985
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Smoothing data with faster moving averages
Patrick G. Mulloy · 1994
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On the momentum term in gradient descent learning algorithms
Ning Qian · 1999
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Sebastian Ruder · 2016
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Kun Yuan, Bicheng Ying, and Ali H. Sayed · 2016
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Attention is all you need
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