Evolution of Data Augmentation
Yannic and Simon discuss the evolution of data augmentation, pondering the systematic discovery of augmentations beyond current methods. Simon suggests a shift towards simulation and video representation learning as potential future directions in machine learning.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
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