Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning

In three linesEBOMLC method for noisy label correction via efficient bilevel optimization. Uses a meta model trained on clean data to correct large noisy dataset. Reduces hypergradient computational cost and improves stability on CIFAR-10/100 under high noise rates.

Summary generated by Claude — human-verified