Omar Seddati
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Natural Language Processing — 14 citations into it
- Multimodal Learning — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Model Architectures — 6 citations into it
Whom Omar Seddati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Ilya Sutskever
- Kyunghyun Cho
- Geoffrey E. Hinton
- Matthew D. Zeiler
- Kaiming He
- Karen Simonyan
- Oriol Vinyals
- Alex Krizhevsky
- Diederik P. Kingma
Papers from Omar Seddati's perspective
Ordered by how strongly the researchers Omar Seddati 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)