Keisuke Fukuda

Artificial Intelligence · with Akiba · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Keisuke Fukuda trusts overall

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

  1. Kaiming He
  2. Seiya Tokui

Who trusts Keisuke Fukuda overall

  1. Kazuki Osawa
  2. Yang You
  3. Nitish Shirish Keskar

Papers from Keisuke Fukuda's perspective

Ordered by how strongly the researchers Keisuke Fukuda 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. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers