Seth D. Baum

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Cognitive Neuroscience — 8 citations into it; #5,468 of 10,852 by trust here, #9,185 by citations
• Safety Research — 7 citations into it; #2,729 of 5,829 by trust here, #4,580 by citations
• Economics and Econometrics — 5 citations into it
• Philosophy — 5 citations into it

Whom Seth D. Baum trusts overall

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

1. Irving John Good
2. Ben Goertzel
3. Christian P. Robert
4. Yuxi Li
5. C. Allen
6. Nick Bostrom
7. Wendell Wallach
8. Kenneth J. Arrow
9. Yann LeCun
10. Paul Christiano

Who trusts Seth D. Baum overall

1. Jonathan Stray
2. Maranke Wieringa
3. Tom Everitt
4. Elayne Ruane
5. Luciano Floridi
6. Iason Gabriel
7. Jan Leike

Papers from Seth D. Baum's perspective

Ordered by how strongly the researchers Seth D. Baum 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Social choice ethics in artificial intelligence (2017) — 118 citations
• A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy (2017) — 94 citations