37 citations · 121 across the 28 of their papers we have counts for
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cs.LG2023
Training Dynamics of Deep Network Linear Regions
Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk
The study of Deep Network (DN) training dynamics has largely focused on the evolution of the loss function, evaluated on or around train and test set data points. In fact, many DN…
cs.LG2023★ 22 cited
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi +5
Seismic advances in generative AI algorithms for imagery, text, and other data types has led to the temptation to use synthetic data to train next-generation models. Repeating this…