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08L – Self-supervised learning and variational inference
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NYU Deep Learning SP21 - 08L – Self-supervised learning and variational inference

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This course includes

  • 47.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Yann LeCun Chapters 00:00:00 – Welcome to class 00:00:45 – GANs revisited 00:17:07 – Self-supervised learning: a broader purpose 00:31:59 – Sparse modeling 00:43:25 – Amortized inference 00:51:21 – Convolutional sparse modeling (with group sparsity 00:55:12 – Discriminant recurrent sparse AE 00:57:26 – Other self-supervised learning techniques 00:58:45 – Group sparsity 01:07:47 – Regularization through temporal consistency 01:12:09 – VAE: intuitive interpretation 01:26:13 – VAE: probabilistic variational approximation-based interpretation

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