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

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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

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 network (GCN), label propagation, etc. Document classification Grungier GrghGni_n.FI Few-shot image classification Output i if lilli __ __ ei __
Classification results using GCN, with 20 label per class Cora features visualization
What about 1 labeled sample per class?
Classification results using GCN, with 1 label per class Cora features visualization
Our solution Shoestring
What we get Shoestring-cos with 1 label Per class Shoestring-L 2 with 1 label Per class
Furthermore… We applied Shoestring to few-shot image classification on miniImageNet and tieredImageNet ( 5 - way).
Wanyu Lin , Zhaolin Gao, Baochun Li University of Toronto 9

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