Ahmed Abdou

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Safety, Robustness & Interpretability — 51 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Program Analysis & Verification — 9 citations into it

Whom Ahmed Abdou trusts overall

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

1. Alex Krizhevsky
2. Ian J. Goodfellow
3. Diederik P. Kingma
4. Yann LeCun
5. Geoffrey E. Hinton
6. Vladimir Naumovich Vapnik
7. Yoshua Bengio
8. Nicholas Carlini
9. Timon Gehr
10. Christian Szegedy

Who trusts Ahmed Abdou overall

1. Huan Zhang

Papers from Ahmed Abdou's perspective

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

Their papers

• MixTrain: Scalable Training of Formally Robust Neural Networks (2018) — 88 citations