Tetsuya Takiguchi

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Tetsuya Takiguchi trusts overall

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

  1. Geoffrey E. Hinton
  2. Hideki Kawahara
  3. Zhizheng Wu
  4. A. Kain
  5. Toru Nakashika
  6. Vinod Nair
  7. Abdel-rahman Mohamed
  8. Li Deng
  9. Ruslan Salakhutdinov

Who trusts Tetsuya Takiguchi overall

  1. Seyed Hamidreza Mohammadi
  2. Takuhiro Kaneko
  3. Fuming Fang
  4. Tomi H. Kinnunen
  5. Neeraj Kumar
  6. Junichi Yamagishi
  7. Hsin-Te Hwang
  8. Wei-Ning Hsu
  9. R. Skerry-Ryan

Papers from Tetsuya Takiguchi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. ImageNet: A large-scale hierarchical image database

Their papers