Ibrahem Kandel
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Ibrahem Kandel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Dominic Masters
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Andrew Zisserman
- Yann LeCun
- Kaiming He
- Sergey Ioffe
Papers from Ibrahem Kandel's perspective
Ordered by how strongly the researchers Ibrahem Kandel 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)
- 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)
- 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