On the Difficulty of Learning a Meta-network for Training Data Selection

Zilin Du, Junqi Zhao, Boyang Albert Li

Synthetic data are increasingly used to train neural networks, yet distributional mismatch with real data limits their effectiveness when used indiscriminately. A common strategy i…