Tadayoshi Kohno

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 22 papers; trusts 68 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Tadayoshi Kohno trusts overall

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

  1. Mihir Bellare
  2. Hugo Krawczyk
  3. Bruce Schneier
  4. Ian J. Goodfellow
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Geoffrey E. Hinton
  8. Nicolas Papernot
  9. Oded Goldreich
  10. William W. Pugh

Who trusts Tadayoshi Kohno overall

  1. Steven J. Murdoch
  2. Suman Sekhar Jana
  3. Kyong-Tak Cho
  4. Kasper Bonne Rasmussen
  5. Jason Franklin
  6. Mihir Bellare
  7. Noah J. Apthorpe
  8. Naeimeh Soltanieh
  9. Nino Vincenzo Verde
  10. Kang G. Shin

Papers from Tadayoshi Kohno's perspective

Ordered by how strongly the researchers Tadayoshi Kohno 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  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. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers