Yangzhou Du

Artificial Intelligence · 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 Yangzhou Du trusts overall

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

  1. Zachary Chase Lipton

Papers from Yangzhou Du's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  3. The mythos of model interpretability
  4. ImageNet classification with deep convolutional neural networks
  5. How to Explain Individual Classification Decisions
  6. Interpreting CNN knowledge via an Explanatory Graph
  7. Interpretable Convolutional Neural Networks
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Explanation Capabilities of Production-Based Consultation Systems

Their papers