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    <title>Spectral analysis on DASYA</title>
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      <title>Exploring connections of spectral learning priority and learning task</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/yucl-medical/</link>
      <pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate>
      
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      <description>Spectral learning priority is a useful tool in analyzing a model&amp;rsquo;s focus during training, it describes how a model may understand a given image from the spectrum perspective. For example, to distinguish cats and tortoises, learning to recognize their shapes would be enough, such embedding will result in higher learning priority at low frequencies representing shapes; while learning to distinguish turtles and tortoises requires more effort to extract fine-grained features, leading to the corresponding learning priority shifting to higher frequencies.</description>
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