Akira Tajima

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Akira Tajima trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Pascal Vincent
  4. Quoc V. Le
  5. Geoffrey E. Hinton
  6. Tomas Mikolov
  7. Oriol Vinyals
  8. Hugo Larochelle
  9. Alex Krizhevsky
  10. Andrej Karpathy

Who trusts Akira Tajima overall

  1. Chuhan Wu
  2. Fangzhao Wu

Papers from Akira Tajima's perspective

Ordered by how strongly the researchers Akira Tajima 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers