Jaron J. R. Lee

Safety, Robustness & Interpretability · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 9 citations into it
• Statistics and Probability — 8 citations into it

Whom Jaron J. R. Lee trusts overall

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

1. Ker-Chau Li
2. Yingcun Xia
3. Jenna Burrell
4. Bing Li
5. Trevor J. Hastie
6. Robert Tibshirani

Papers from Jaron J. R. Lee's perspective

Ordered by how strongly the researchers Jaron J. R. Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sliced Inverse Regression for Dimension Reduction
2. The mythos of model interpretability
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Regression Shrinkage and Selection via the Lasso
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Interpretable Explanations of Black Boxes by Meaningful Perturbation

Their papers

• A Semiparametric Approach to Interpretable Machine Learning (2020) — 6 citations