Meta-learning with memory-augmented neural networks
- Journal
- International Conference on Machine Learning
In The Last Decade
doi.org/w15114624 →Countries where authors are citing Meta-learning with memory-augmented neural networks
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Fields of papers citing Meta-learning with memory-augmented neural networks
This network shows the impact of Meta-learning with memory-augmented neural networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Meta-learning with memory-augmented neural networks.
About Meta-learning with memory-augmented neural networks
This paper, published in 2016, received 657 indexed citations . Written by Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra and Timothy Lillicrap covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (491 citations), Computer Vision and Pattern Recognition (319 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Published in International Conference on Machine Learning.
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This paper is also available at doi.org/w15114624.