Wei Fan
Artificial Intelligence · with Du · 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
- Artificial Intelligence — 11 citations into it
- Safety, Robustness & Interpretability — 7 citations into it
Whom Wei Fan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Zachary Chase Lipton (in Artificial Intelligence)
Papers from Wei Fan's perspective
Ordered by how strongly the researchers Wei Fan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- The mythos of model interpretability
- How to Explain Individual Classification Decisions
- Interpreting CNN knowledge via an Explanatory Graph
- Interpretable Convolutional Neural Networks
- Explanation Capabilities of Production-Based Consultation Systems
- Explaining and Justifying Expert Consulting Programs
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges (2019) — 632 citations