Deep k-NN for Noisy Labels

doi:doi:10.57702/s6if20k1

Deep k-NN for Noisy Labels

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a preliminary model to compute an intermediate representation and then applied k-NN filtering to remove mislabeled training data.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Cite this as

Dara Bahri, Heinrich Jiang, Maya Gupta (2024). Dataset: Deep k-NN for Noisy Labels. https://doi.org/10.57702/s6if20k1

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2004.12289
Author	Dara Bahri
More Authors	Heinrich Jiang Maya Gupta