Thm. 1. 对于多分类问题,如果损失函数L是对称损失函数,那么,在 \eta < \frac{k - 1}{k} 下,L在symmetric noise下是noise-tolerant的。 Thm. 2.1. 如果损失函数L是对称损失函数,R_L(f^*) = 0 ,那么L在simple non-uniform noise下是noise-tolerant。 Th.m. 2.2. 如果损失函数L是对称损失函数,R_L...
在label noise存在的情况下,这个问题变得更加具有挑战性。这是因为,在这种情况下,很难从不可靠的训练数据中学习到一个好的模型,并使用不可靠的验证数据选择所需的模型。 Label Wave 为了在不依赖validation set的情况下准确地确定一个适当的早期停止点,作者引入了一个称为预测变化(Prediction Change,PC)的度量,即...
摘要 标签噪声学习(Label-noise learning, LNL)旨在提高模型在训练数据带有噪声标签的情况下的泛化能力。为了促进实用的LNL算法的发展,研究人员提出了不同类型的标签噪声,从类条件噪声到实例依赖噪声不等。在本文中,我们引入了一种新型的标签噪...
Existing approaches that detect and remove label noise generally rely on some form of supervision, which is not scalable and error-prone. In this paper, we propose NoiseRank, for unsupervised label noise reduction using Markov Random Fields (MRF). We construct a dependence model to estimate the...
Our task is, when givennoisy labeled images, to construct alabel-noise robust conditional generatorthat can generate an image conditioned on theclean labelrather than conditioned on thenoisy label. Our main idea for solving this problem is to incorporate anoise transition model(viewed as orange rec...
Label Noise Resiliency with Self-supervised Representations nips2021 承接上文 既然我们可以用对比学习来做抗噪的特征提取器 那么 那种对比学习框架更好用呢 ? 原因又是什么? 和迁移学习相比 对比学习的优势在哪里? 本文经过对比 发现Simclr在noisy的情况下表现最好 Moco在没有noise的情况下表现也不差 但是为什么一...
Wei, Hongxin, et al. "Open-set label noise can improve robustness against inherent label noise." Advances in Neural Information Processing Systems 34 (2021): 7978-7992. Wei, Hongxin, et al. "Open-sampling: Exploring out-of-distribution data for re-balancing long-tailed datasets." International...
"Trusted Multi-view Learning with Label Noise." In Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI. 2024. Methodology for Generating IDN Labels Section B.1 of the Appendix within the repository describes how new labels are selected for samples that will ...
We show, that using ensembles of one-class classifiers can give as good results as canonical multi-class classifiers, while allowing to deal with unexpected label noise in the data. Experimental investigations, carried out on public data sets, prove the usefulness of the proposed approach....
必应词典为您提供noise-label的释义,un. 噪声指标;