Unsupervised representation learning by predicting random distances
Deep neural networks have gained great success in a broad range of tasks due to its remarkable capability to learn semantically rich features from high-dimensional data. However, they often require large-scale labelled data to successfully learn such features, which significantly hinders their adapt...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7136 https://ink.library.smu.edu.sg/context/sis_research/article/8139/viewcontent/0408.pdf |
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Institution: | Singapore Management University |
Language: | English |