Moussa Reda Mansour

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it

Whom Moussa Reda Mansour trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yann LeCun
5. Yoshua Bengio
6. Kaiming He
7. Christopher K. I. Williams
8. Alex Graves
9. Sergey Ioffe
10. Ilya Sutskever

Papers from Moussa Reda Mansour's perspective

Ordered by how strongly the researchers Moussa Reda Mansour trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection (2019) — 1,733 citations
• Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos (2019) — 321 citations