Tomoko Ohkuma

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 Tomoko Ohkuma trusts

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

  1. Chih-Jen Lin (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Tomoko Ohkuma's perspective

Ordered by how strongly the researchers Tomoko Ohkuma 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. Discriminating Gender on Twitter
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers