Hajime Shimada

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hajime Shimada trusts overall

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

  1. Alex Krizhevsky
  2. Ilya Sutskever

Papers from Hajime Shimada's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Recurrent neural network based language model
  3. Recurrent Neural Network Regularization
  4. Learning to Forget: Continual Prediction with LSTM
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers