Mohamed R. Amer
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 3 papers; trusts 204 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #19,397 of 35,345 by trust here, #14,718 by citations
- Computer Vision and Pattern Recognition — 41 citations into it; #12,761 of 21,575 by trust here, #11,950 by citations
- Cognitive Neuroscience — 13 citations into it
- Graph Learning — 9 citations into it
- Optimization & Training — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Mohamed R. Amer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bastian Leibe
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Navneet Dalal
- Alex Krizhevsky
- Kaiming He
- Jimmy Ba
- David G. Lowe
Who trusts Mohamed R. Amer overall
- Siyu Tang
- Caglayan Dicle
- Federico Pernici
- Chanho Kim
- Visesh Chari
- Qi Chu
- Shun Zhang
- Guang Shu
- Wenhan Luo
Papers from Mohamed R. Amer's perspective
Ordered by how strongly the researchers Mohamed R. Amer trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Multiobject tracking as maximum weight independent set (2011) — 302 citations
- Understanding Attention and Generalization in Graph Neural Networks (2019) — 403 citations
- Data-Efficient Mutual Information Neural Estimator (2019) — 25 citations