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06/05/2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
Learning from crowds describes that the annotations of training data are...
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04/25/2023
Model Conversion via Differentially Private Data-Free Distillation
While massive valuable deep models trained on large-scale data have been...
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03/08/2022
Trustable Co-label Learning from Multiple Noisy Annotators
Supervised deep learning depends on massive accurately annotated example...
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03/08/2022
Selective-Supervised Contrastive Learning with Noisy Labels
Deep networks have strong capacities of embedding data into latent repre...
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03/23/2021
