Toru Nakashika

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Toru Nakashika trusts overall

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

  1. Geoffrey E. Hinton
  2. Vinod Nair
  3. A. Kain
  4. Abdel-rahman Mohamed
  5. Li Deng
  6. Thomas Deselaers
  7. Ruslan Salakhutdinov
  8. Simon Osindero
  9. Yoshua Bengio
  10. George E. Dahl

Who trusts Toru Nakashika overall

  1. Seyed Hamidreza Mohammadi
  2. Takuhiro Kaneko
  3. Hsin-Te Hwang
  4. Fuming Fang
  5. Tomi H. Kinnunen
  6. Neeraj Kumar
  7. Zhaojie Luo
  8. Junichi Yamagishi
  9. Linghui Chen
  10. Yi-Chiao Wu

Papers from Toru Nakashika's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers