Greg Zaharchuk

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 8 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Greg Zaharchuk trusts overall

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

  1. Zhou Wang
  2. Liang Chen
  3. Bo Zhu
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. A. Bovik

Who trusts Greg Zaharchuk overall

  1. Arvid Lundervold

Papers from Greg Zaharchuk's perspective

Ordered by how strongly the researchers Greg Zaharchuk 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers