Khaled M. Rasheed

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Computer Vision and Pattern Recognition — 42 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Natural Language Processing — 7 citations into it
• Generative Models — 6 citations into it
• Statistical Learning Theory — 5 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Khaled M. Rasheed trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yann LeCun
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Diederik P. Kingma
7. Ilya Sutskever
8. Andrew Zisserman
9. Ross B. Girshick
10. L. Eon Bottou

Papers from Khaled M. Rasheed's perspective

Ordered by how strongly the researchers Khaled M. Rasheed trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Review of Deep Transfer Learning and Recent Advancements (2022) — 633 citations
• A Brief Review of Domain Adaptation (2020) — 810 citations