Masanori Nakakuni
2017
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Whom Masanori Nakakuni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Masanori Nakakuni overall
Papers from Masanori Nakakuni's perspective
Ordered by how strongly the researchers Masanori Nakakuni trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Quantitative measures to evaluate neural network weight initialization strategies (2017) — 21 citations