Information bottleneck and selective noise supervision for zero-shot learning

Lei Zhou; Yang Liu; Pengcheng Zhang; Xiao Bai; Lin Gu; Jun Zhou; Yazhou Yao; Tatsuya Harada; Jin Zheng; Edwin R. Hancock

doi:10.1007/s10994-022-06196-7

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Information bottleneck and selective noise supervision for zero-shot learning

Lei Zhou Yang Liu Pengcheng Zhang Xiao Bai Lin Gu Jun Zhou Yazhou Yao Tatsuya Harada Jin Zheng Edwin R. Hancock

Year: 2022 Journal: Machine Learning Vol: 112 (7)Pages: 2239-2261 Publisher: Springer Science+Business Media

DOI: 10.1007/s10994-022-06196-7

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Keywords:

Computer science Artificial intelligence Embedding Information bottleneck method Machine learning Generative model Feature vector Semantics (computer science) Pattern recognition (psychology) Bottleneck Generative grammar Mutual information

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cancer-related molecular mechanisms research

Life Sciences → Biochemistry, Genetics and Molecular Biology → Cancer Research

Information bottleneck and selective noise supervision for zero-shot learning

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