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awesome-few-shot-learning
A review for latest few-shot learning works
https://github.com/indussky8/awesome-few-shot-learning
Last synced: about 12 hours ago
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Few-Shot Learning (Classification)
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Datasets
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Papers
- [pdf - research/meta-dataset/tree/master/meta_dataset/dataset_conversion/splits).
- [pdf - VIG/LibFewShot). `<an emperical survey>`
- [pdf - research/google-research/blob/master/kip/KIP.ipynb).
- [pdf - 1998/ICLR2021-Oral_Distribution_Calibration).
- [pdf - 456a-4e36-a408-04e1ad0bc5a9/).
- [pdf - Dataset>`
- [pdf - kernel-transfer).
- [pdf - alignment/).
- [pdf - supervised>`<font color="#FF3030">`<transductive>`
- [pdf - Dataset>`<font color="#FF3030">`<transductive>`
- [pdf - supervised>`
- [pdf - supervised>` <font color="#FF3030">`<Meta-Dataset>`
- [pdf - klsb.mpg.de/yaoyaoliu/e3bm). <font color="#FF3030">`<transductive and inductive>`
- [pdf - propagation). <font color="#FF3030">`<Semi-supervised>`<font color="#FF3030">`<transductive>`
- [pdf - benchmark). <font color="#FF3030">`<transductive and inductive>`
- [pdf - margin.few-shot.).
- [pdf - Lab/FEAT). <font color="#FF3030">`<Transformer>` <font color="#FF3030">`<inductive+transductive>`
- [pdf - mlg/cnaps).<font color="#FF3030">`<Meta-Dataset>`
- [pdf - shot-meta-baseline).<font color="#FF3030">`<Meta-Dataset>`
- [pdf - Dataset>`
- [pdf - mlg/cnaps).<font color="#FF3030">`<Meta-Dataset>`
- [pdf - to-self-train).
- [pdf - hierarchy).
- [pdf - -<b><font color="#FF3030">`<Meta-Dataset>`-->
- [pdf - Dataset>`
- [pdf - supervised>`<font color="#FF3030">`<supervised>`
- [pdf - Dataset>`
- [pdf - VIG/LibFewShot). `<an emperical survey>`
- [pdf - shot-meta-baseline).<font color="#FF3030">`<Meta-Dataset>`
- [pdf - Dataset>`
- [pdf - mlg/cnaps).<font color="#FF3030">`<Meta-Dataset>`
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Starter Code
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Other resources
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Starter Code
- [here - shot classification leaderboard.
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Programming Languages
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