wanxinhang/ICML2024_decouple_then_classify
The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''
This project helps researchers evaluate and compare different machine learning models, specifically those designed for multi-view data classification. You input your multi-view datasets and the project outputs detailed training process logs and performance metrics like accuracy for various label ratios. This tool is for machine learning researchers, data scientists, or academics working on advanced classification problems.
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Use this if you are a researcher needing to benchmark and understand the performance of multi-view classification models under different conditions, especially concerning label availability.
Not ideal if you are looking for a plug-and-play solution for general data classification or if you are not deeply involved in model evaluation and research.
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Sep 15, 2025
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