Patrick Hall

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 79 citations into it
• Safety, Robustness & Interpretability — 57 citations into it
• Safety Research — 37 citations into it
• AI Ethics, Fairness & Society — 28 citations into it
• Information Systems — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Health Informatics — 10 citations into it
• Natural Language Processing — 10 citations into it

Whom Patrick Hall trusts overall

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

1. Eric R. Ziegel
2. Scott M. Lundberg
3. Mark W. Craven
4. Trevor J. Hastie
5. Avanti Shrikumar
6. Mukund Sundararajan
7. Jerome H. Friedman
8. Marco Ancona
9. Osbert Bastani
10. Michael Feldman

Who trusts Patrick Hall overall

1. Alejandro Barredo Arrieta
2. Natalia Díaz Rodríguez
3. Shaker El-Sappagh
4. Javier Del Ser

Papers from Patrick Hall's perspective

Ordered by how strongly the researchers Patrick Hall 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Towards a Standard for Identifying and Managing Bias in Artificial Intelligence (2022)
• On the Art and Science of Machine Learning Explanations (2018) — 34 citations