noisy-label-learning topic
FedLSR
Official codes for CIKM '22 full paper: Towards Federated Learning against Noisy Labels via Local Self-Regularization
FINE_official
NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
BLTM
[ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
TCL
Twin Contrastive Learning with Noisy Labels (CVPR 2023)
Nested-Co-teaching
(L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise
MultiWOZ2.4
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset
Out-of-Candidate-Rectification
[cvpr2023] implementation of out-of-candidate rectification methods