Michael Dennis

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Reinforcement Learning — 48 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Game & Decision Theory — 6 citations into it

Whom Michael Dennis trusts overall

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

1. Geoffrey E. Hinton
2. John Schulman
3. Rui Wang
4. J. Urgen Schmidhuber
5. Yoshua Bengio
6. Sergey Levine
7. Richard S. Sutton
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Ilya Sutskever

Who trusts Michael Dennis overall

1. Izzeddin Gur
2. Linxi (Jim) Fan
3. Amal Feriani
4. Matt Deitke
5. Guanzhi Wang

Papers from Michael Dennis's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Et al

Their papers

• Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design (2020) — 327 citations
• Adversarial Policies: Attacking Deep Reinforcement Learning (2019) — 437 citations
• Replay-Guided Adversarial Environment Design (2021) — 139 citations