Paul Rad

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 267 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it; #18,815 of 35,345 by trust here, #25,040 by citations
• Safety, Robustness & Interpretability — 46 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Health Informatics — 7 citations into it; #68 of 240 by trust here, #152 by citations

Whom Paul Rad trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky
4. Yoshua Bengio
5. Matthew D. Zeiler
6. Yann LeCun
7. Been Kim
8. Diederik P. Kingma
9. Cynthia Rudin
10. Kaiming He

Who trusts Paul Rad overall

1. Gesina Schwalbe
2. Karthikeyan K
3. Meike Nauta
4. Vikas Hassija
5. Anders Søgaard
6. Bettina Finzel

Papers from Paul Rad's perspective

Ordered by how strongly the researchers Paul Rad 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey (2020) — 775 citations