Keegan E. Hines

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 116 citations into it
• Safety, Robustness & Interpretability — 59 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Safety Research — 23 citations into it
• AI Ethics, Fairness & Society — 18 citations into it
• Causal Inference & Discovery — 11 citations into it
• Information Systems and Management — 10 citations into it
• Statistics and Probability — 10 citations into it

Whom Keegan E. Hines trusts overall

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

1. Amir-Hossein Karimi
2. Carl Doersch
3. Tim Miller
4. Ryan D. Turner
5. Shubham Rathi
6. Sandra Wachter
7. Arnaud Van Looveren
8. Sanjay Krishnan
9. Shubham Sharma
10. Thibault Laugel

Papers from Keegan E. Hines's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Counterfactual Explanations for Machine Learning: A Review (2020) — 473 citations
• Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review (2020) — 318 citations