few-shot learning

Each folder contains an implementation of each model.

• data_helper. data processing
• model. model construction
• trainer. train model
• metrics. performance metrics
• config.json Configuration files for model parameters and training parameters

induction_network

• paper: Few-Shot Text Classification with Induction Network

relation_network

• paper: Learning to Compare: Relation Network for Few-Shot Learning

prototypical_network

• paper: Prototypical Networks for Few-shot Learning

siamese_network

• paper: Siamese Neural Networks for One-shot Image Recognition

data

• the data from Amazon Review Data Set
• citation: Image-based recommendations on styles and substitutes J. McAuley, C. Targett, J. Shi, A. van den Hengel SIGIR, 2015
• link: you can download data from

note

• You can only use 5-way, and if you need to use other way, you can modify the data_helper.py file.
• Shot should not be more than 10, because there are few comments under some categories.
• a smaller data set is provided here, you can get the larger data set from: 链接：https://pan.baidu.com/s/1b3JDjrRXgdOL0NKjX-QHbQ 提取码：2ieu