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2020年1月7日
【笔记】论文阅读 | Prototypical networks for few-shot learning
摘要： 论文信息：Snell J, Swersky K, Zemel R. Prototypical networks for few shot learning[C]//Advances in Neural Information Processing Systems. 2017: 4077 4087. 阅读全文
posted @ 2020-01-07 23:34 Veagau 阅读(2443) 评论(0) 推荐(0) 编辑
【笔记】论文阅读 | Optimization as a Model for Few-Shot Learning
摘要： 论文信息：Ravi S, Larochelle H. Optimization as a model for few shot learning[J]. 2016. 博文作者： "Veagau" 编辑时间：2020年01月07日 本文是2017年ICLR的会议论文，作者来自Twitter公司。在论文 阅读全文
posted @ 2020-01-07 23:33 Veagau 阅读(1675) 评论(0) 推荐(0) 编辑
【笔记】论文阅读 | Matching networks for one shot learning
摘要： 论文信息：Vinyals O, Blundell C, Lillicrap T, et al. Matching networks for one shot learning[C]//Advances in neural information processing systems. 2016: 3 阅读全文
posted @ 2020-01-07 23:31 Veagau 阅读(2516) 评论(2) 推荐(0) 编辑
【笔记】论文阅读 | One shot learning with memory-augmented neural networks
摘要： 论文信息：Santoro A, Bartunov S, Botvinick M, et al. One shot learning with memory augmented neural networks[J]. arXiv preprint arXiv:1605.06065, 2016. 博文作 阅读全文
posted @ 2020-01-07 23:30 Veagau 阅读(2335) 评论(0) 推荐(0) 编辑
【笔记】论文阅读 | Learning to learn using gradient descent
摘要： 论文信息：Hochreiter S, Younger A S, Conwell P R. Learning to learn using gradient descent[C]//International Conference on Artificial Neural Networks. Spri 阅读全文
posted @ 2020-01-07 23:29 Veagau 阅读(1039) 评论(0) 推荐(0) 编辑