Shigeyuki Sakaki

2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shigeyuki Sakaki trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chih-Jen Lin
2. Karen Simonyan

Papers from Shigeyuki Sakaki's perspective

Ordered by how strongly the researchers Shigeyuki Sakaki trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. LIBSVM: A library for support vector machines
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Discriminating Gender on Twitter
10. Going deeper with convolutions

Their papers

• A Weighted Combination of Text and Image Classifiers for User Gender Inference (2015) — 16 citations