Nobukatsu Hojo

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 68 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nobukatsu Hojo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Tomoki Toda
  5. Kaiming He
  6. Heiga Zen
  7. Keiichi Tokuda
  8. Ilya Sutskever
  9. Aäron van den Oord
  10. Jimmy Ba

Who trusts Nobukatsu Hojo overall

  1. Takuhiro Kaneko
  2. Hirokazu Kameoka
  3. Kaizhi Qian
  4. Berrak Sisman

Papers from Nobukatsu Hojo's perspective

Ordered by how strongly the researchers Nobukatsu Hojo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers