Xiang 'Anthony' Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Xiang 'Anthony' Chen trusts overall

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

1. Raymond Reiter

Papers from Xiang 'Anthony' Chen's perspective

Ordered by how strongly the researchers Xiang 'Anthony' Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing and Understanding Convolutional Networks
2. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
3. The mythos of model interpretability
4. Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
5. Explanation in Artificial Intelligence: Insights from the Social Sciences
6. Towards A Rigorous Science of Interpretable Machine Learning
7. European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation"
8. Some observations on mental models
9. Causal-explanatory pluralism: How intentions, functions, and mechanisms influence causal ascriptions.
10. Intelligibility and Accountability: Human Considerations in Context-Aware Systems

Their papers

• Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis (2019) — 45 citations