Carolyn Kim

Artificial Intelligence · 1 papers · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #16,628 of 35,345 by trust here, #17,776 by citations
• Safety, Robustness & Interpretability — 15 citations into it; #1,091 of 2,251 by trust here, #1,512 by citations

Whom Carolyn Kim trusts overall

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

1. Leo Breiman
2. Himabindu Lakkaraju
3. Cynthia Rudin
4. Robert Tibshirani
5. Andrew W. Moore
6. R. Caruana
7. Avanti Shrikumar
8. Houtao Deng
9. Andrew Barto
10. Geoffrey E. Hinton

Who trusts Carolyn Kim overall

1. Amit Dhurandhar
2. Patrick Hall
3. Stefano Teso
4. Nadia Burkart

Papers from Carolyn Kim's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Interpreting Blackbox Models via Model Extraction (2017) — 196 citations