Enhancing Accuracy and Parameter-Efficiency of Neural Representations
for Network Parameterization
Enhancing Accuracy and Parameter-Efficiency of Neural Representations
for Network Parameterization
In this work, we investigate the fundamental trade-off regarding accuracy and parameter efficiency in the parameterization of neural network weights using predictor networks. We present a surprising finding that, when recovering the original model accuracy is the sole objective, it can be achieved effectively through the weight reconstruction objective alone. …