William R. Clements

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 16 citations into it

Whom William R. Clements trusts overall

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

1. Iroon Polytechniou
2. Richard S. Sutton
3. John Schulman
4. Aravind Rajeswaran
5. Volodymyr Mnih
6. Michal Kempka

Who trusts William R. Clements overall

1. S. Slussarenko
2. Nathan Killoran
3. G. Pryde

Papers from William R. Clements's perspective

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

1. Human-level control through deep reinforcement learning
2. ImageNet classification with deep convolutional neural networks
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. Proximal Policy Optimization Algorithms (arXiv.org)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• An Optimal Design for Universal Multiport Interferometers (2016) — 1,084 citations
• Robust Visual Domain Randomization for Reinforcement Learning. (2019) — 20 citations