Learning with Group Noise

Understand

Machine learning in the context of noise is a challenging but practical setting to plenty of real-world applications.

• Most of the previous approaches in this area focus on the pairwise relation (casual or correlational relationship) with noise, such as learning with noisy labels.
• However, the group noise, which is parasitic on the coarse-grained accurate relation with the fine-grained uncertainty, is also universal and has not been well investigated.
• The challenge under this setting is how to discover true pairwise connections concealed by the group relation with its fine-grained noise.