Few-Shot 小样本学习 论文检索

References

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2. A closer look at few-shot classification. In: ICLR (2019) 【已读】
3. Diversity with cooperation: Ensemble methods for few-shot classification. In: ICCV. pp. 3723–3731 (2019)
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8. Dynamic few-shot visual learning without forgetting.In: CVPR. pp. 4367–4375 (2018)【已读】
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15. Transductive few-shot learning with meta-learned confidence. arXiv preprint arXiv:2002.12017 (2020)
16. Meta-learning with differentiable convex optimization. In: CVPR. pp. 10657–10665 (2019)【已读】
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31.  Matching networks for one shot learning. In: NeurIPS. pp. 3630–3638 (2016)【已读】
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35. Few-shot learning via embedding adaptation with set-to-set functions. In: CVPR. pp. 8808–8817 (2020)【已半读】
36. Transmatch: A transfer-learning scheme for semi-supervised few-shot learning. In: CVPR. pp. 12856–12864 (2020)
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54.  Prototypical Clustering Networks for Dermatological Disease Diagnosis[J]. arXiv preprint arXiv:1811.03066, 2018.
55. Infinite mixture prototypes for few-shot learning[J]. arXiv preprint arXiv:1902.04552, 2019.
56. Prototype propagation networks (PPN) for weakly-supervised few-shot learning on category graph[J]. arXiv preprint arXiv:1905.04042, 2019.
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