Search Results for author: Jinhwan Choi

Found 1 papers, 1 papers with code

FINE Samples for Learning with Noisy Labels

1 code implementation NeurIPS 2021 Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun

Our framework, coined as filtering noisy instances via their eigenvectors (FINE), provides a robust detector with derivative-free simple methods having theoretical guarantees.

General Classification Learning with noisy labels

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