2017
Training deep neural-networks using a noise adaptation layer
ICLR 2017poster
The availability of large datsets has enabled neural networks to achieve impressive recognition results. However, the presence of inaccurate class labels is known to deteriorate the performance of even the best classifiers in a broad range of classification problems. Noisy labels also tend to be m…