Kevin Alex Zhang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Alex Zhang trusts overall

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

  1. Yann LeCun
  2. Shumeet Baluja
  3. Jamie Hayes
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Bin Li
  9. L. Eon Bottou
  10. Iain E. Garden Richardson

Papers from Kevin Alex Zhang's perspective

Ordered by how strongly the researchers Kevin Alex Zhang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers