Andrew Trask

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Trask trusts overall

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

  1. Ilya Sutskever
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Wojciech Zaremba
  6. Yoshua Bengio
  7. Kaiming He
  8. J. Urgen Schmidhuber
  9. Volodymyr Mnih
  10. Diederik P. Kingma

Who trusts Andrew Trask overall

  1. Rodrigo Nogueira
  2. Guillaume Lample
  3. Avijit Thawani
  4. Eric Wallace
  5. Yi Liu
  6. Jimmy J. Li
  7. François Charton

Papers from Andrew Trask's perspective

Ordered by how strongly the researchers Andrew Trask 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. ImageNet: A large-scale hierarchical image database
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers