Fares N. Beainy

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #22,973 of 35,345 by trust here, #20,377 by citations
• Computer Vision and Pattern Recognition — 14 citations into it; #14,201 of 21,575 by trust here, #13,542 by citations
• Efficiency & Compression — 13 citations into it; #803 of 1,264 by trust here, #987 by citations
• Model Architectures — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Fares N. Beainy trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Ronald J. Williams
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. Barret Zoph
8. Song Han
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Fares N. Beainy overall

1. Han Cai
2. Lin Wang

Papers from Fares N. Beainy's perspective

Ordered by how strongly the researchers Fares N. Beainy 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. Learning Multiple Layers of Features from Tiny Images
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning (2017) — 182 citations