Mohammadreza Iman

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Mohammadreza Iman trusts overall

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

1. Yann LeCun
2. Sebastian Ruder
3. S. Deepak
4. Geoffrey E. Hinton
5. Dan Claudiu Ciresan
6. Yoshua Bengio
7. Alex Krizhevsky
8. Han Xiao
9. Long Wen
10. Kai Han

Papers from Mohammadreza Iman's perspective

Ordered by how strongly the researchers Mohammadreza Iman 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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