Mohamed Maher
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 118 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 81 citations into it; #15,358 of 35,345 by trust here, #28,481 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Neural Architecture Search & AutoML — 28 citations into it; #139 of 283 by trust here, #266 by citations
- Optimization & Training — 26 citations into it
- Management Science and Operations Research — 15 citations into it
- Information Systems — 12 citations into it
- Model Architectures — 11 citations into it
- Computational Theory and Mathematics — 10 citations into it
Whom Mohamed Maher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Hutter
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Randal S. Olson
- James Bergstra
- Ronald J. Williams
- Barret Zoph
- Matthew D. Zeiler
Who trusts Mohamed Maher overall
Papers from Mohamed Maher's perspective
Ordered by how strongly the researchers Mohamed Maher trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)