Phoebe Lin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Human-Computer Interaction — 7 citations into it
• Safety Research — 7 citations into it

Whom Phoebe Lin trusts overall

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

1. Himabindu Lakkaraju
2. David R. Thomas
3. Ben Green
4. Ming Yin
5. Forough Poursabzi-Sangdeh
6. Yiling Chen

Who trusts Phoebe Lin overall

1. Vivian Lai
2. Jianlong Zhou
3. Michael Chromik

Papers from Phoebe Lin's perspective

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

1. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
2. Towards A Rigorous Science of Interpretable Machine Learning
3. Interpretable Decision Sets: A Joint Framework for Description and Prediction
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Manipulating and Measuring Model Interpretability
6. Nber Working Paper Series Human Decisions and Machine Predictions Human Decisions and Machine Predictions
7. ImageNet classification with deep convolutional neural networks
8. Attention is All you Need (Neural Information Processing Systems)
9. On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
10. ImageNet: A large-scale hierarchical image database

Their papers

• Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems (2020) — 379 citations