Riki Eto

2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Riki Eto trusts overall

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

  1. Tong Zhang
  2. Niko Speybroeck
  3. Jürgen Fritsch
  4. Radford M. Neal
  5. Geoffrey E. Hinton
  6. Michael Finke
  7. Michael I. Jordan
  8. John Shawe-Taylor

Who trusts Riki Eto overall

  1. Satoshi Hara
  2. Kohei Hayashi

Papers from Riki Eto's perspective

Ordered by how strongly the researchers Riki Eto 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. Gradient-based learning applied to document recognition
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers