Baiwu Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baiwu Zhang trusts overall

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

  1. Alex Krizhevsky

Papers from Baiwu Zhang's perspective

Ordered by how strongly the researchers Baiwu Zhang 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. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet: A large-scale hierarchical image database
  5. Reading Digits in Natural Images with Unsupervised Feature Learning
  6. Large Scale Distributed Deep Networks
  7. Matching Networks for One Shot Learning
  8. Deep Learning
  9. Learning representations by back-propagating errors
  10. Prototypical Networks for Few-shot Learning

Their papers