Behrouz Homayoun Far

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Reinforcement Learning — 51 citations into it
• Information Systems — 37 citations into it
• Management Science and Operations Research — 26 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Recommender Systems — 9 citations into it
• Medical & Health AI — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Behrouz Homayoun Far trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Andrew Barto
4. Ronald J. Williams
5. Yoshua Bengio
6. Ruslan Salakhutdinov
7. Ilya Sutskever
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Yann LeCun

Papers from Behrouz Homayoun Far's perspective

Ordered by how strongly the researchers Behrouz Homayoun Far 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reinforcement Learning based Recommender Systems: A Survey (2021) — 605 citations