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cs.LG2025
Not All Instances Are Equally Valuable: Towards Influence-Weighted Dataset Distillation
Qiyan Deng, Changqian Zheng, Lianpeng Qiao +3
Dataset distillation condenses large datasets into synthetic subsets, achieving performance comparable to training on the full dataset while substantially reducing storage and comp…
cs.LG2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang, Chengliang Chai, Jingzhe Xu +5
Recent studies indicate that deep neural networks degrade in generalization performance under noisy supervision. Existing methods focus on isolating clean subsets or correcting noi…