Learning with noisy labels. In Advances in Neural Information Processing Systems, pages 1196-1204, 2013.Natarajan, N., Dhillon, I., Ravikumar, P., Tewari, A.: Learning with noisy labels. In: Advances in Neural Information Processing Systems 26, pp. 1196-1204 (2013) 3...
Learning with Noisy Labels NeurIPS 2013·Nagarajan Natarajan,Inderjit S. Dhillon,Pradeep K. Ravikumar,Ambuj Tewari· In this paper, we theoretically study the problem of binary classification in the presence of random classification noise --- the learner, instead of seeing the true labels, sees ...
这次的 paper reading,聚焦 Learning with noisy label: 有一定量的标注数据。-- 通过搜索引擎、公开数据集等,很容易拿到。 标注数据的质量不高,存在或高或低的标注错误。 不会覆盖无监督类学习。 相比于无监督学习,learning with nois...
Learning with noisy labels means When we say "noisy labels," we mean that an adversary has intentionally messed up the labels, which would have come from a "clean" distribution otherwise. This setting can also be used to cast learning from only positive and unlabeled data....
进行learning with noisy labels 这个领域也有了将近 1 年之久,在此期间读了大量文章,下面来尝试对这些文章做一个总结。 noisy label 的 paper 大合集github.com/guixianjin/noisy_label_papers发布于 2023-05-16 11:01・IP 属地加拿大 深度学习(Deep Learning) 统计学习 机器学习 ...
2013 Learning with noisy labels use meta-learning to train deep models, where synthetic noisy labels were generated to update the model before the conventional gradient update 2019 Metacleaner: Learning to hallucinate clean representations for noisy-labeled visual recognition FL + noisy label: large Ea...
第二种 Real-World Noisy Datasets 是需要特定的数据集的，它对于数据集制作者来说可能是成本不高的，...
基本信息 \1.标题:DIVIDEMIX: LEARNING WITH NOISY LABELS AS SEMI-SUPERVISED LEARNING \2.作者:Junnan Li, Richard Socher, Steven C.H. Hoi \3.作者单位:Salesforce Research \4.发表期刊/会议:ICLR \5.发表时间:2020 \6.原文链接:https://arxiv.org/abs/2002.07394 ...
Numerous efforts have been devoted to reducing the annotation cost when learning with deep networks. Two prominent directions include learning with noisy labels and semi-supervised learning by exploiting unlabeled data. In this work, we propose DivideMix, a novel framework for learning with noisy ...
A curated list of resources for Learning with Noisy Labels - LyxDLiI/Awesome-Learning-with-Label-Noise