Mark Crowley

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Reinforcement Learning — 30 citations into it
• Statistics and Probability — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Mark Crowley trusts overall

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

1. Jakob N. Foerster
2. Geoffrey E. Hinton
3. Leo Breiman
4. Richard S. Sutton
5. Hado van Hasselt
6. Volodymyr Mnih
7. Sepp Hochreiter
8. Igor Mordatch
9. Yoshua Bengio
10. Jerome H. Friedman

Papers from Mark Crowley's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Asynchronous Methods for Deep Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Multi Agent Reinforcement Learning for Autonomous Driving (2020) — 60 citations
• A review of machine learning applications in wildfire science and management (2020) — 693 citations