Rigel Mahmood

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 7 citations into it

Whom Rigel Mahmood trusts overall

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

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

Papers from Rigel Mahmood's perspective

Ordered by how strongly the researchers Rigel Mahmood 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On the Robustness of Vision Transformers to Adversarial Examples (2021) — 270 citations