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Found 3 papers, 2 papers with code
REX: Revisiting Budgeted Training with an Improved Schedule
Deep learning practitioners often operate on a computational and monetary budget.
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
We present a novel, practical, and provable approach for solving diagonally constrained semi-definite programming (SDP) problems at scale using accelerated non-convex programming.
Demon: Improved Neural Network Training with Momentum Decay
Momentum is a widely used technique for gradient-based optimizers in deep learning.
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