shoestring graph based semi supervised classification
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Shoestring: Graph-Based Semi- Supervised Classification with Severely Limited Labeled Data Wanyu Lin , Zhaolin Gao, Baochun Li University of Toronto Graph-Based Semi-Supervised Classification Such as graph convolutional


  1. Shoestring: Graph-Based Semi- Supervised Classification with Severely Limited Labeled Data Wanyu Lin , Zhaolin Gao, Baochun Li University of Toronto

  2. �� � � Graph-Based Semi-Supervised Classification Such as graph convolutional network (GCN), label propagation, etc. Document classification Grungier GrghGni_n.FI Few-shot image classification Output i if lilli __ __ ei __

  3. Classification results using GCN, with 20 label per class Cora features visualization

  4. What about 1 labeled sample per class?

  5. Classification results using GCN, with 1 label per class Cora features visualization

  6. Our solution Shoestring

  7. What we get Shoestring-cos with 1 label Per class Shoestring-L 2 with 1 label Per class

  8. Furthermore… We applied Shoestring to few-shot image classification on miniImageNet and tieredImageNet ( 5 - way).

  9. Wanyu Lin , Zhaolin Gao, Baochun Li University of Toronto 9

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