Ahmed Hussein

Artificial Intelligence · with Elyan · 2017

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Reinforcement Learning — 36 citations into it
• Control and Systems Engineering — 22 citations into it
• Cognitive Neuroscience — 11 citations into it
• Biomedical Engineering — 9 citations into it
• Robotics & Control — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Social Psychology — 5 citations into it

Whom Ahmed Hussein trusts overall

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

1. Jens Kober
2. Jan Peters
3. Stefan Schaal
4. Andrew Y. Ng
5. Pieter Abbeel
6. Richard S. Sutton
7. Geoffrey E. Hinton
8. Longxin Lin
9. Yoshua Bengio
10. J. Urgen Schmidhuber

Papers from Ahmed Hussein's perspective

Ordered by how strongly the researchers Ahmed Hussein 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Imitation Learning (2017) — 556 citations