Mohamed Osama Ahmed
Artificial Intelligence · 2015
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #16,023 of 35,345 by trust here, #13,353 by citations
- Optimization & Training — 28 citations into it; #1,465 of 2,601 by trust here, #1,237 by citations
- Computational Mechanics — 17 citations into it
- Management Science and Operations Research — 6 citations into it; #11,010 of 11,946 by trust here, #3,705 by citations
- Natural Language Processing — 6 citations into it
- Statistics and Probability — 5 citations into it
Whom Mohamed Osama Ahmed trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Yurii E. Nesterov
- Tong Zhang
- Shai Shalev-Shwartz
- Francis R. Bach
- Mark W. Schmidt
- Rie Johnson
- Michael Collins
- Jakub Konecný
- Michael P. Friedlander
Who trusts Mohamed Osama Ahmed overall
- Jakub Konecný
- Lihua Lei
- Ashok Cutkosky
- Biyi Fang
- Ilya Loshchilov
- Sharan Vaswani
- Francis R. Bach
- Soham De
- Mark W. Schmidt
- Balamurugan Palaniappan
Papers from Mohamed Osama Ahmed's perspective
Ordered by how strongly the researchers Mohamed Osama Ahmed 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- StopWasting My Gradients: Practical SVRG (2015) — 139 citations
- Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields (2015) — 83 citations