Steven Mills

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #28,680 of 35,345 by trust here, #33,294 by citations
• Safety Research — 7 citations into it; #4,080 of 5,829 by trust here, #5,396 by citations
• Safety, Robustness & Interpretability — 7 citations into it

Whom Steven Mills trusts overall

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

1. Toon Calders
2. Tianqi Chen
3. Jerome H. Friedman
4. J. Ross Quinlan
5. Leo Breiman
6. Faisal Kamiran
7. Carlos Guestrin
8. Harrison Edwards
9. Yahav Bechavod
10. Richard S. Zemel

Who trusts Steven Mills overall

1. Luca Oneto

Papers from Steven Mills's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Random Forests
4. Gradient-based learning applied to document recognition
5. Fairness-aware Learning through Regularization Approach
6. Discrimination-aware data mining
7. Fairness through awareness
8. Equality of Opportunity in Supervised Learning
9. Learning Multiple Layers of Features from Tiny Images
10. Learning Fair Representations

Their papers

• Fair Forests: Regularized Tree Induction to Minimize Model Bias (2017) — 76 citations