Zak Murez

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 360 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Zak Murez trusts overall

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

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

Who trusts Zak Murez overall

  1. Serban Stan
  2. Yang Zou
  3. Mohammad Rostami
  4. Brady Zhou
  5. Hsin-Ying Lee
  6. Jaehoon Choi
  7. Qiming Zhang
  8. Vinod Kumar Kurmi
  9. Hiroshi Sasaki
  10. Fengchun Qiao

Papers from Zak Murez's perspective

Ordered by how strongly the researchers Zak Murez 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers