Hyunna Lee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyunna Lee trusts overall

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

  1. Geoffrey E. Hinton
  2. Dan Claudiu Ciresan
  3. Yann LeCun

Papers from Hyunna Lee's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Microsoft COCO: Common Objects in Context
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers