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Kyle Whitecross
Kyle Whitecross
UMass Amherst | CIIR Lab
在 umass.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Investigating why contrastive learning benefits robustness against label noise
Y Xue, K Whitecross, B Mirzasoleiman
International Conference on Machine Learning, 24851-24871, 2022
542022
Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise
Y Xue, K Whitecross, B Mirzasoleiman
arXiv preprint arXiv:2208.08003, 2022
22022
The final ascent: When bigger models generalize worse on noisy-labeled data
Y Xue, K Whitecross, B Mirzasoleiman
arXiv preprint arXiv:2208.08003, 2022
22022
Superior generalization of smaller models in the presence of significant label noise
Y Xue, K Whitecross, B Mirzasoleiman
arXiv preprint arXiv 2208, 2022
12022
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