1. Robust bi-tempered logistic loss based on bregman divergences;Amid,2019
2. Deep k-nn for noisy labels;Bahri,2020
3. Understanding and utilizing deep neural networks trained with noisy labels;Chen,2019
4. Learning with instance-dependent label noise: A sample sieve approach;Cheng,2020
5. Detecting label errors using pre-trained language models;Chong,2022