2026
On the Difficulty of Learning a Meta-network for Training Data Selection
ICML 2026oral
Synthetic data are increasingly used to train image classifiers, yet distributional mismatch with real data limits their effectiveness when used indiscriminately. A common strategy is to learn data weights via bi-level optimization, which we refer to as Meta-learning for Training-data Selection (MTS…