Yoshinobu Kawahara

Artificial Intelligence · 2006–2017

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Yoshinobu Kawahara trusts overall

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

  1. Masashi Sugiyama
  2. Bernhard Schölkopf
  3. Alex Smola
  4. Steven L. Brunton
  5. Francis R. Bach
  6. Kenji Fukumizu
  7. Malte Kuss
  8. Kenji Yamanishi
  9. J. Nathan Kutz
  10. Michael I. Jordan

Who trusts Yoshinobu Kawahara overall

  1. Qiang Yang
  2. Jonathan Ko
  3. Charles Truong
  4. Byron Boots
  5. Arun Venkatraman
  6. Jialin Pan
  7. Georg Krempl
  8. Dieter Fox
  9. Hao Wu
  10. Laurent Oudre

Papers from Yoshinobu Kawahara's perspective

Ordered by how strongly the researchers Yoshinobu Kawahara trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers