Haitham Ammar

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Reinforcement Learning — 10 citations into it

Whom Haitham Ammar trusts overall

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

1. Matthew E. Taylor
2. Peter Stone
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Richard S. Sutton
6. Yaxin Liu
7. Ruslan Salakhutdinov
8. Andrew Barto

Who trusts Haitham Ammar overall

1. Haitham Bou-Ammar
2. Karl Tuyls
3. Yunshu Du
4. Matthew E. Taylor
5. Cuong V Nguyen
6. Gerhard Weiss
7. Sanmit Narvekar

Papers from Haitham Ammar's perspective

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

Their papers

• An automated measure of MDP similarity for transfer in reinforcement learning (2014) — 103 citations
• Common Subspace Transfer for Reinforcement Learning Tasks (2011) — 5 citations