Keith Anderson

Artificial Intelligence · with Beattie · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 96 citations into it
• Reinforcement Learning — 71 citations into it
• Computer Vision and Pattern Recognition — 67 citations into it

Whom Keith Anderson trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Volodymyr Mnih
4. Yoshua Bengio
5. Ilya Sutskever
6. Richard S. Sutton
7. Diederik P. Kingma
8. Ruslan Salakhutdinov
9. Yann LeCun
10. Sepp Hochreiter

Papers from Keith Anderson's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Asynchronous Methods for Deep Reinforcement Learning
9. ImageNet: A large-scale hierarchical image database
10. Human-level control through deep reinforcement learning

Their papers

• Learning to Navigate in Cities Without a Map (2018) — 347 citations
• DeepMind Lab (2016) — 267 citations
• Using Unity to Help Solve Intelligence (2020) — 23 citations
• VALUATION : A N ADVERSARIAL APPROACH TO UNCOVER CATASTROPHIC FAILURES (2018) — 94 citations
• Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents (2018) — 82 citations