Henry Jin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Henry Jin trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton

Papers from Henry Jin's perspective

Ordered by how strongly the researchers Henry Jin 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. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Visualizing and Understanding Convolutional Networks
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers