Tim Donkers

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Donkers trusts overall

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

  1. Yehuda Koren
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Kaiming He
  7. J. Urgen Schmidhuber
  8. Alex Graves
  9. Thomas Hofmann
  10. Tomas Mikolov

Who trusts Tim Donkers overall

  1. Yongfeng Zhang
  2. Xu Chen
  3. Aminu Da’u
  4. Shuai Zhang
  5. Shoujin Wang
  6. Jin Huang
  7. Keqin Bao
  8. Xu Xie
  9. Naomie Binti Salim
  10. Fei Sun

Papers from Tim Donkers's perspective

Ordered by how strongly the researchers Tim Donkers 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  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