Jacob Varley

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 94 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Varley trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Richard S. Sutton
  9. Sergey Levine
  10. Ilya Sutskever

Who trusts Jacob Varley overall

  1. Xian-Feng Han
  2. Sulabh Kumra
  3. Bo Yang
  4. Or Litany
  5. Wentao Yuan
  6. Xiaoguang Han
  7. Haozhe Xie
  8. Ted Xiao
  9. Jeffrey Mahler
  10. Oier Mees

Papers from Jacob Varley's perspective

Ordered by how strongly the researchers Jacob Varley 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers