Introduces SGR and TIAT for robust dataset distillation that suppresses noise while preserving knowledge under noisy supervision.
arXiv preprint arXiv:2408.14358 (2024)
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A validation-free metric combining neighbor-consistency and effective rank to estimate face recognition dataset quality for downstream model performance.
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Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets
Introduces SGR and TIAT for robust dataset distillation that suppresses noise while preserving knowledge under noisy supervision.
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Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
A validation-free metric combining neighbor-consistency and effective rank to estimate face recognition dataset quality for downstream model performance.