Enayat Ullah
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it
- Optimization & Training — 41 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Federated & Distributed Learning — 19 citations into it
- Computational Mechanics — 14 citations into it
- Electrical and Electronic Engineering — 6 citations into it
- Management Science and Operations Research — 6 citations into it
- Natural Language Processing — 6 citations into it
Whom Enayat Ullah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Yurii E. Nesterov
- Ilya Sutskever
- Karen Simonyan
- Jimmy Ba
- Sergey Ioffe
- Yann LeCun
Papers from Enayat Ullah's perspective
Ordered by how strongly the researchers Enayat Ullah 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)