Davinder Kaur

Artificial Intelligence · with Durresi · 2022

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Safety Research — 40 citations into it
• Safety, Robustness & Interpretability — 40 citations into it
• AI Ethics, Fairness & Society — 31 citations into it
• Sociology and Political Science — 17 citations into it
• Information Systems — 11 citations into it
• Cognitive Neuroscience — 10 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Davinder Kaur trusts overall

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

1. Been Kim
2. Geoffrey E. Hinton
3. Latanya Sweeney
4. Ryan D. Turner
5. Iyad Rahwan
6. D. McQuillan
7. Tameru Hailesilassie
8. Simson L. Garfinkel
9. Cynthia Dwork
10. Alex Krizhevsky

Papers from Davinder Kaur's perspective

Ordered by how strongly the researchers Davinder Kaur 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Trustworthy Artificial Intelligence: A Review (2022) — 627 citations