Navid Kardan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 255 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 165 citations into it
• Safety, Robustness & Interpretability — 103 citations into it
• Computer Vision and Pattern Recognition — 82 citations into it
• Signal Processing — 30 citations into it
• Molecular Biology — 18 citations into it
• Hardware and Architecture — 11 citations into it
• Natural Language Processing — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Navid Kardan trusts overall

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

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

Papers from Navid Kardan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Advances in adversarial attacks and defenses in computer vision: A survey (2021) — 330 citations