Kazuki Irie

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 9 papers; trusts 329 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Kazuki Irie trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Graves
  5. J. Urgen Schmidhuber
  6. Jimmy Ba
  7. Albert Zeyer
  8. Ilya Sutskever
  9. Sepp Hochreiter
  10. Alex Krizhevsky

Who trusts Kazuki Irie overall

  1. Albert Zeyer
  2. Jinyu Li
  3. Rohit Prabhavalkar
  4. Ralf Schlüter
  5. Alexei Baevski
  6. Ronan Collobert
  7. Hermann Ney
  8. Abdel-rahman Mohamed
  9. Peidong Wang
  10. Yu-An Chung

Papers from Kazuki Irie's perspective

Ordered by how strongly the researchers Kazuki Irie 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers