Ontology highlight
ABSTRACT:
SUBMITTER: Xu Y
PROVIDER: S-EPMC7494202 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence 20200201 4
The majority of state-of-the-art deep learning methods are discriminative approaches, which model the conditional distribution of labels given inputs features. The success of such approaches heavily depends on high-quality labeled instances, which are not easy to obtain, especially as the number of candidate classes increases. In this paper, we study the complementary learning problem. Unlike ordinary labels, complementary labels are easy to obtain because an annotator only needs to provide a ye ...[more]