Reda Al-Bahrani

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Reda Al-Bahrani trusts overall

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

1. Alex Krizhevsky
2. Matthew D. Zeiler
3. Christian Szegedy
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Kaiming He
7. Yoshua Bengio
8. Yann LeCun
9. Xavier Glorot

Papers from Reda Al-Bahrani's perspective

Ordered by how strongly the researchers Reda Al-Bahrani 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Rethinking the Inception Architecture for Computer Vision
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Understanding the difficulty of training deep feedforward neural networks
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets (2018) — 343 citations