David Golub

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 116 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom David Golub trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Sepp Hochreiter
  4. Yann LeCun
  5. Dzmitry Bahdanau
  6. Ilya Sutskever
  7. Oriol Vinyals
  8. J. Urgen Schmidhuber
  9. Diederik P. Kingma
  10. Kyunghyun Cho

Who trusts David Golub overall

  1. Yonatan Belinkov
  2. Xiao Huang
  3. Jingyuan Zhang
  4. Jing Zhang
  5. Marc Velay
  6. Vikas Yadav
  7. Dingcheng Li

Papers from David Golub's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers