Data Augmentation Philosophies
Tim explores the concept of learning unknowns through data synthesis and modification, questioning the effectiveness of generative models in data augmentation. The discussion delves into the interplay between priors and experiences in machine learning, highlighting the transformative nature of data synthesizers in enhancing existing datasets.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Sayak Paul
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