Gated Value Network for Multilabel Classification

IEEE Transactions on Neural Networks and Learning Systems(2021)

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摘要
We introduce a gated value network (GVN) for general multilabel classification (MLC) tasks. GVN was motivated by deep value network (DVN) that directly exploits the “compatibility” metric as the learning pursuit for MLC. Meanwhile, it further improves traditional DVN on twofold. First, GVN relaxes the complex variable optimization steps in DVN inference by incorporating a feedforward predictor for...
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关键词
Logic gates,Optimization,Task analysis,Tagging,Machine learning,Learning systems,Visualization
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