Shuichi Adachi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuichi Adachi trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Yoshua Bengio
  5. Kaiming He
  6. Alex Krizhevsky
  7. Stephen Merity
  8. John Scott Bridle
  9. Oriol Vinyals
  10. Radford M. Neal

Papers from Shuichi Adachi's perspective

Ordered by how strongly the researchers Shuichi Adachi 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Long Short-Term Memory
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers