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cs.LG2021
Model architecture can transform catastrophic forgetting into positive transfer
Miguel Ruiz-Garcia
The work of McCloskey and Cohen popularized the concept of catastrophic interference. They used a neural network that tried to learn addition using two groups of examples as two di…
cs.LG2021★ 6 cited
Tilting the playing field: Dynamical loss functions for machine learning
Miguel Ruiz-Garcia, Ge Zhang, Samuel S. Schoenholz +1
We show that learning can be improved by using loss functions that evolve cyclically during training to emphasize one class at a time. In underparameterized networks, such dynamica…