Simon Zhuang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #33,366 of 35,345 by trust here, #30,347 by citations
• Reinforcement Learning — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it; #2,100 of 2,251 by trust here, #2,161 by citations

Whom Simon Zhuang trusts overall

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

1. Dylan Hadfield-Menell
2. Jan Leike
3. Pieter Abbeel
4. Andrew Y. Ng
5. Victoria Krakovna
6. Abigail Z. Jacobs
7. Christian P. Robert
8. S. Omohundro
9. Craig Boutilier
10. Peter Eckersley

Who trusts Simon Zhuang overall

1. Richard Ngo

Papers from Simon Zhuang's perspective

Ordered by how strongly the researchers Simon Zhuang 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. ImageNet: A large-scale hierarchical image database
5. Apprenticeship learning via inverse reinforcement learning
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Maximum Entropy Inverse Reinforcement Learning
10. Algorithms for Inverse Reinforcement Learning

Their papers

• Consequences of Misaligned AI (2021) — 109 citations