Network Optimization Insights
Keith and Hadi discuss optimizing networks by modifying patches and joint training models and patches. They explore the concept of minimizing loss with respect to texture parameters, achieving robust results even with randomly initialized models.In this clip
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Machine Learning Street Talk (MLST)
#52 - Unadversarial Examples (Hadi Salman, MIT)
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