Naoki Yokoyama

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naoki Yokoyama trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Abhinav Kumar Gupta
  5. Manolis Savva
  6. Ross B. Girshick
  7. Devendra Singh Chaplot
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Abhishek Kadian

Who trusts Naoki Yokoyama overall

  1. Andrew Szot
  2. Sehoon Ha

Papers from Naoki Yokoyama's perspective

Ordered by how strongly the researchers Naoki Yokoyama 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers