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    <title>data attribution on DASYA</title>
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      <title>Data Attribution on Progressive Datasets for Deep Learning</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/pito-data-attribution/</link>
      <pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate>
      
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      <description>Deep convolutional networks are able to learn representation of images, scoring well in tasks such as image classification and object detection. During model training, these networks have the ability to process different input sizes without requiring changes to their architecture. In this project, we would like to investigate the effects that changing input sizes has on these kinds of models. We want to do this by investigating and using data attribution methods, as these techniques can help explain the effect of input data on the predictions of the model.</description>
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