Hamid Reza Arabnia

Artificial Intelligence · 2009–2022

A researcher in the Science corpus: 3 papers; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Computer Vision and Pattern Recognition — 72 citations into it
• Representation & Self-Supervised Learning — 39 citations into it
• Signal Processing — 14 citations into it
• Statistical Learning Theory — 8 citations into it
• Natural Language Processing — 8 citations into it
• Media Technology — 7 citations into it
• Generative Models — 6 citations into it

Whom Hamid Reza Arabnia trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. Robert E. Schapire
5. Alex Krizhevsky
6. Teuvo Kohonen
7. Kaiming He
8. Lawrence R. Rabiner
9. Bernhard Schölkopf
10. Anil K. Jain

Papers from Hamid Reza Arabnia's perspective

Ordered by how strongly the researchers Hamid Reza Arabnia 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. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Review of Deep Transfer Learning and Recent Advancements (2022) — 633 citations
• A Brief Review of Domain Adaptation (2020) — 810 citations
• A Survey of Face Recognition Techniques (2009) — 847 citations