Abstract: This letter aims to enhance the use of the Frank-Wolfe (FW) algorithm for training deep neural networks. Similar to any gradient-based optimization algorithm, FW suffers from high ...
It Is the first day of 2026, the year that looked far away at the dawn of 2025, 12 months ago. It is now here and as I type this, I do so in awe of the unseen God, who rules in the affairs of men. If ...
Abstract: Reducing energy consumption has become a pressing need for modern machine learning, which has achieved many of its most impressive results by scaling to larger and more energy-consumptive ...
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