【Awesome】Few-Shot Learning论文阅读列表

Few-Shot Learning 由于其任务的特殊性，以及其应用可能带来的巨大价值，吸引了大量人工智能领域学者的目光。为了帮助广大希望入坑小样本学习的同胞减少入坑搜集论文的时间成本，Duan-JM同学，在Github上分享了《awesome-papers-fewshot》库，收集了近几年顶会中的小样本学习的文章。对few shot learning感兴趣的同学不要错过。

Github地址：

https://github.com/Duan-JM/awesome-papers-fewshot

目录：

• Image Classification

• mini-Imagenet

• Unsorted

• External Memory

• Architecture

• Task Representation and Measure

• Multi Label Image Classification

• Add Additional Informations

• Self-training

• Traditional

• Semi-Supervised

• Supervised

• Papers

• Papers

• Parameter Optimize Based Few-shot Learning

• Generative Based Few-shot Learning

• Metric Based Few-shot Learning

• Special

• Results in Datasets

• More Direction

• Object Detection

• Segementation

• Generative Model

• Domain Adaptation

• Reinforcement Learning

• Visual Tracking

• Others

• Other Awesome Resources

• Relevant Awesome Datasets Repo

• Relevant Awesome Few-shot PlayGround Repo

• Relevant Awesome Blogs

• How to recommend a paper

• Main Contributors

转载来源：专知

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人工智能前沿学生论坛

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