Revisiting masked auto-encoders for ECG-language representation learning
We propose C-MELT, a novel framework for multimodal self-supervised learning of Electrocardiogram (ECG) and text encoders. C-MELT pre-trains a contrastive-enhanced masked auto-encoder architecture using ECG-text paired data. It exploits the generative strengths with improved discriminative capabilit...
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| Main Authors: | , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2024
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/9938 https://ink.library.smu.edu.sg/context/sis_research/article/10938/viewcontent/42_Revisiting_Masked_Auto_Enco.pdf |
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