Joseph Shtok

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 295 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Shtok trusts overall

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

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

Who trusts Joseph Shtok overall

  1. Yu-Xiong Wang
  2. Qi Fan
  3. Eli Schwartz

Papers from Joseph Shtok's perspective

Ordered by how strongly the researchers Joseph Shtok 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images

Their papers