https://github.com/stanford-futuredata/sinkhorn-label-allocation
Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
https://github.com/stanford-futuredata/sinkhorn-label-allocation
few-shot-learning image-classification optimal-transport semi-supervised-learning
Last synced: 6 days ago
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Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
- Host: GitHub
- URL: https://github.com/stanford-futuredata/sinkhorn-label-allocation
- Owner: stanford-futuredata
- License: mit
- Created: 2021-02-16T08:02:43.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-06-15T05:08:35.000Z (almost 4 years ago)
- Last Synced: 2024-11-06T14:41:01.846Z (5 months ago)
- Topics: few-shot-learning, image-classification, optimal-transport, semi-supervised-learning
- Language: Python
- Homepage:
- Size: 140 KB
- Stars: 53
- Watchers: 8
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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- my-awesome-starred - stanford-futuredata/sinkhorn-label-allocation - Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622. (Python)