Sam Pepose

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Pepose trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jitendra Malik
  7. Yann LeCun
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Karen Simonyan

Papers from Sam Pepose's perspective

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

Their papers