Yasin Yilmaz

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Reinforcement Learning — 30 citations into it
• Control and Systems Engineering — 28 citations into it
• Automotive Engineering — 16 citations into it
• Building and Construction — 13 citations into it
• Transportation — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Yasin Yilmaz trusts overall

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

1. Marco A. Wiering
2. Richard S. Sutton
3. Ronald J. Williams
4. Hado van Hasselt
5. Martin A. Riedmiller
6. Kaiming He
7. Andrew Barto
8. Geoffrey E. Hinton
9. David Silver
10. Christopher J. C. H. Watkins

Papers from Yasin Yilmaz's perspective

Ordered by how strongly the researchers Yasin Yilmaz 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Reinforcement Learning: An Introduction
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Human-level control through deep reinforcement learning

Their papers

• Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey (2020) — 625 citations