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      <image:title>Blog - Paper Breakdown: Channel Clustering for Time Series Forecasting - Make it stand out</image:title>
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      <image:title>Blog - Paper Breakdown: Channel Clustering for Time Series Forecasting - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - Paper Breakdown: Channel Clustering for Time Series Forecasting - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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    <loc>https://xaviermootoo.com/blog/self-supervised-learning-part-introduction</loc>
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      <image:title>Blog - Self-Supervised Learning: An Introduction - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - Self-Supervised Learning: An Introduction - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - Self-Supervised Learning: An Introduction - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Blog - Self-Supervised Learning: An Introduction - Make it stand out</image:title>
      <image:caption>Taken from: Noroozi &amp; Favaro (ECCV 2017). Here (a) represents segmenting a patch from the image, (b) is the input to the network for the jigsaw puzzle task, and (c) is the ground truth.</image:caption>
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