Yang Yao

Computer Vision and Pattern Recognition · with Furao · 2019

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

Subfields

Whom Yang Yao trusts overall

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

  1. Alex Krizhevsky
  2. Zhizhong Li
  3. Anthony V. Robins
  4. Gido M. van de Ven
  5. J. Kiefer
  6. Friedemann Zenke

Papers from Yang Yao's perspective

Ordered by how strongly the researchers Yang Yao 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 classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
  6. Overcoming catastrophic forgetting in neural networks
  7. Learning without Forgetting
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers