Jishen Zhao

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jishen Zhao trusts overall

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

  1. Rafail M. Ostrovsky

Who trusts Jishen Zhao overall

  1. Yige Li
  2. Dongxian Wu

Papers from Jishen Zhao's perspective

Ordered by how strongly the researchers Jishen Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Towards Deep Learning Models Resistant to Adversarial Attacks

Their papers