Laith Alzubaidi

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 196 citations into it

Whom Laith Alzubaidi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Kaiming He
6. Diederik P. Kingma
7. Ilya Sutskever
8. Karen Simonyan
9. Christian Szegedy
10. Ross B. Girshick

Who trusts Laith Alzubaidi overall

1. J. Rutledge
2. Farhad Shiri
3. Muhammad Ali Shoaib

Papers from Laith Alzubaidi's perspective

Ordered by how strongly the researchers Laith Alzubaidi 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations (2023) — 385 citations
• A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications (2023) — 833 citations
• Review of deep learning: concepts, CNN architectures, challenges, applications, future directions (2021) — 6,716 citations