Jia Wang

Computer Vision and Pattern Recognition · with Chen · 2014

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Wang trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Simon S. Haykin

Who trusts Jia Wang overall

  1. Minsoo Rhu
  2. Patrick Judd
  3. Matthieu Courbariaux
  4. Yu-hsin Chen

Papers from Jia Wang's perspective

Ordered by how strongly the researchers Jia Wang 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: A large-scale hierarchical image database
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. GradientBased Learning Applied to Document Recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Improving neural networks by preventing co-adaptation of feature detectors

Their papers