Coresets for Robust Training of Deep Neural Networks against Noisy Labels

By Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec. 2020

97 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Krishnateja Killamsetty
2. Xujiang Zhao
3. Rishabh K. Iyer
4. F. Chen
5. Xiaojin Zhu

Citations in the corpus

• RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning (2021, methodology): “Similarly, we adapt the robust coreset selection method CRUST [40] originally proposed to tackle noisy labels scenario in supervised learning to SSL setting and use it as a baseline in Robust SSL scenario.”