Richard Everett

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Reinforcement Learning — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Richard Everett trusts overall

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

1. Diederik P. Kingma
2. Yarin Gal
3. He He
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Jakob N. Foerster
7. Richard S. Sutton
8. Zoubin Ghahramani
9. Ilya Sutskever
10. Timothy P. Lillicrap

Who trusts Richard Everett overall

1. Sven Gronauer

Papers from Richard Everett's perspective

Ordered by how strongly the researchers Richard Everett 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Using the Veil of Ignorance to align AI systems with principles of justice (2023) — 47 citations
• Learning Against Non-Stationary Agents with Opponent Modelling and Deep Reinforcement Learning (2018) — 31 citations
• The anatomy of online deception: what makes automated text convincing? (2016) — 35 citations