Vasilis Papastefanopoulos

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 106 citations into it
• Safety, Robustness & Interpretability — 82 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Statistics and Probability — 15 citations into it
• Natural Language Processing — 14 citations into it
• Safety Research — 14 citations into it
• AI Ethics, Fairness & Society — 8 citations into it

Whom Vasilis Papastefanopoulos trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Matthew D. Zeiler
4. Jerome H. Friedman
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. Diederik P. Kingma
9. Rob Fergus
10. Kaiming He

Papers from Vasilis Papastefanopoulos's perspective

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

Their papers

• Explainable AI: A Review of Machine Learning Interpretability Methods (2020) — 2,690 citations