Unpaired Image-to-Image Translation Using Negative Learning for Noisy Patches
Sign Up to like & getrecommendations! Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2022.3177452
Abstract: Unpaired image-to-image translation finds a mapping between two domains that do not have paired data. One approach is patchwise contrastive learning, a one-sided translation that maximizes mutual information between corresponding input and output patches. Noncorresponding… read more here.
Keywords: image image; image translation; negative learning; image ... See more keywords
Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training
Sign Up to like & getrecommendations! Published in 2024 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2024.3412174
Abstract: Biomedical relation extraction aims to identify underlying relationships among entities, such as gene associations and drug interactions, within biomedical texts. Despite advancements in relation extraction in general knowledge domains, the scarcity of labeled training data… read more here.
Keywords: relation; noisy student; biomedical relation; negative learning ... See more keywords