Richa Varshney

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Safety, Robustness & Interpretability — 31 citations into it
• Safety Research — 13 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Richa Varshney trusts overall

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

1. Zachary Chase Lipton

Papers from Richa Varshney's perspective

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

1. The mythos of model interpretability
2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
3. Towards A Rigorous Science of Interpretable Machine Learning
4. A Unified Approach to Interpreting Model Predictions
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Explanation in Artificial Intelligence: Insights from the Social Sciences
7. ImageNet classification with deep convolutional neural networks
8. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
9. Anchors: High-Precision Model-Agnostic Explanations
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Human-Centered Explainable AI (XAI): From Algorithms to User Experiences (2021) — 347 citations