Manabu Okumura

Artificial Intelligence · 2005–2021

A researcher in the Science corpus: 6 papers; trusts 121 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Manabu Okumura trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Peter D. Turney
  7. Sepp Hochreiter
  8. Alex Graves
  9. Kaiming He
  10. Yann LeCun

Who trusts Manabu Okumura overall

  1. Jun Suzuki
  2. Hassan Saif
  3. Huifeng Tang
  4. Lei Zhang

Papers from Manabu Okumura's perspective

Ordered by how strongly the researchers Manabu Okumura 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images

Their papers