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Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping Yingbin Bai 1 Zhongyi Han 2 Erkun Y ang 3 Jun Y u 4
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Most existing approaches for dealing with noisy labels broadly fall into two categories: noise-modeling-based methods and memorization-effects-based methods.
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Online Composite Optimization Between Stochastic and Adversarial Environments
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We study online composite optimization under the Stochastically Extended Adversarial (SEA) model.
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Accelerating Augmentation Invariance Pretraining Jinhong Lin Cheng-En Wu
Neural Information Processing Systems
In ImageNet, our method achieves speedups of 4 in MoCo, 3.3 in SimCLR, and 2.5 in DINO, demonstrating substantial efficiency gains.
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