Ryota Kanai

Cognitive Neuroscience · 2008–2022

A researcher in the Science corpus: 9 papers; trusts 66 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ryota Kanai trusts overall

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

  1. Karl J. Friston
  2. John Ashburner
  3. J. Urgen Schmidhuber
  4. Christian Beaulieu
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Bruce Fischl
  8. Jin Fan
  9. Richard S. Sutton
  10. H. Feldman

Who trusts Ryota Kanai overall

  1. Stephen M. Fleming
  2. S. Shipp
  3. Gabriel Ziegler
  4. Olaf Sporns
  5. Ender Konukoglu
  6. B. Johansson
  7. Robert Dahnke
  8. Nathaniel D. Daw
  9. Karl J. Friston
  10. Sibylle C. Herholz

Papers from Ryota Kanai's perspective

Ordered by how strongly the researchers Ryota Kanai 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers