RAW TRAINING DATA-FREE MODEL FUSION

Abstract: generator neural networks are trained to produce synthetic samples that mimic training data used to train pretrained neural network models, respectively. teaching assistant neural networks that learn from the pretrained neural network models are trained through knowledge distillation using samples produced by the generator neural networks. a student neural network that learns from the pretrained neural network models is trained through knowledge distillation using the synthetic samples produced by the trained generator neural networks.

Inventor(s): Luyao Shi, EHSAN DEGAN, Prashanth Vijayaraghavan

CPC Classification: G06N3/096 (Transfer learning)

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