Maximizing FLOPS Utilization: DeepMind & NYU Propose Efficiency Evaluations for Visual Pretraining Methods

In the new paper Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods, DeepMind and NYU Center for Neural Systems researchers introduce computational efficiency evaluation approaches designed to aid in the selection of optimal methods, datasets and models for pretraining visual tasks on a fixed FLOP budget.

ai artificial intelligence computer vision & graphics deepmind deep-neural-networks efficiency machine learning machine learning & data science ml nyu research self-supervised learning technology