Jacob Lambert

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 513 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Lambert trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Andrew Zisserman
  7. Yann LeCun
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Jacob Lambert overall

  1. Ekim Yurtsever
  2. Jianyu Chen
  3. Alexander Carballo

Papers from Jacob Lambert's perspective

Ordered by how strongly the researchers Jacob Lambert 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers