Shoestring: Graph-Based Semi- Supervised Classification with - - PowerPoint PPT Presentation

shoestring graph based semi supervised classification
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Shoestring: Graph-Based Semi- Supervised Classification with - - PowerPoint PPT Presentation

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


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Shoestring: Graph-Based Semi- Supervised Classification with Severely Limited Labeled Data

Wanyu Lin, Zhaolin Gao, Baochun Li University of Toronto

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Graph-Based Semi-Supervised Classification

Such as graph convolutional network (GCN), label propagation, etc.

Document classification Few-shot image classification

Grungier

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Output

  • i

if

  • lilli
  • __

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ei

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Classification results using GCN, with 20 label per class

Cora features visualization

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What about 1 labeled sample per class?

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Classification results using GCN, with 1 label per class

Cora features visualization

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Our solution

Shoestring

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What we get

Shoestring-cos with 1 label Per class Shoestring-L2 with 1 label Per class

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Furthermore…

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

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Wanyu Lin, Zhaolin Gao, Baochun Li University of Toronto

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