061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Machine Learning Street Talk (MLST)
Exploring Data Augmentation and Its Impact on Model Robustness
This chapter delves into the techniques of data augmentation in machine learning, exploring methods like interpolation and tangent propagation. The speakers discuss how these techniques can improve model robustness by generating synthetic examples and addressing gaps in data manifolds.
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