Felix Naumann

Artificial Intelligence · with Grundmann · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Health Informatics — 7 citations into it
• AI Ethics, Fairness & Society — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Safety Research — 5 citations into it

Whom Felix Naumann trusts overall

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

1. Eric J. Topol
2. Yoshua Bengio

Papers from Felix Naumann's perspective

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

Their papers

• Explainable AI under contract and tort law: legal incentives and technical challenges (2020) — 125 citations
• Discovering Biased News Articles Leveraging Multiple Human Annotations (2020) — 8 citations