GenEFT: Understanding statics and dynamics of model generalization via physics-inspired effective theory
{{output}}
We present GenEFT, an effective theory framework for shedding light on the statics and dynamics of neural network generalization, and illustrate it with graph learning examples. We first investigate the generalization phase transition as data size increases, c... ...
