Ahoud Abdulrahmn F. Alhazmi
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 208 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 114 citations into it
- Natural Language Processing — 82 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Safety, Robustness & Interpretability — 38 citations into it
- Signal Processing — 25 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Computer Networks and Communications — 7 citations into it
Whom Ahoud Abdulrahmn F. Alhazmi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ian J. Goodfellow
- Oriol Vinyals
- Kaiming He
- Christian Szegedy
Papers from Ahoud Abdulrahmn F. Alhazmi's perspective
Ordered by how strongly the researchers Ahoud Abdulrahmn F. Alhazmi 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey (2019) — 601 citations