Ellie Shin

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ellie Shin trusts overall

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

  1. Karen Simonyan
  2. Matthew D. Zeiler

Papers from Ellie Shin's perspective

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

  1. Going deeper with convolutions
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Visualizing and Understanding Convolutional Networks
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers