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On The Fairness Impacts of Hardware Selection in Machine Learning
In the machine learning ecosystem, hardware selection is often regarded as a mere utility, overshadowed by the spotlight on algorithms and data.
Accelerated CNN Training Through Gradient Approximation
In this work, we explore three alternative methods to approximate gradients, with an efficient GPU kernel implementation for one of them.
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