Alistair Letcher

Artificial Intelligence · 2018–2019

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

Subfields

• Artificial Intelligence — 35 citations into it
• Reinforcement Learning — 20 citations into it
• Management Science and Operations Research — 18 citations into it
• Optimization & Training — 13 citations into it

Whom Alistair Letcher trusts overall

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

1. Martin A. Zinkevich
2. Constantinos Daskalakis
3. Vaishnavh Nagarajan
4. Geoffrey E. Hinton
5. David Balduzzi
6. Chongjie Zhang
7. Yoshua Bengio
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Martin Heusel

Who trusts Alistair Letcher overall

1. Florian Schäfer
2. Y. Wu
3. Nicolas Loizou
4. Anima Anandkumar

Papers from Alistair Letcher's perspective

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

Their papers

• Differentiable Game Mechanics (2019) — 95 citations
• Stable Opponent Shaping in Differentiable Games (2018) — 129 citations