Jakob Mokander

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 90 citations into it
• Safety, Robustness & Interpretability — 49 citations into it
• Safety Research — 37 citations into it
• Information Systems — 14 citations into it
• AI Ethics, Fairness & Society — 10 citations into it
• Sociology and Political Science — 8 citations into it

Whom Jakob Mokander trusts overall

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

1. Cynthia Dwork
2. Adrian Weller
3. Claes Wohlin
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Diederik P. Kingma
7. Radford M. Neal
8. Alex Krizhevsky
9. Ilya Sutskever
10. Kaiming He

Papers from Jakob Mokander's perspective

Ordered by how strongly the researchers Jakob Mokander trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Auditing large language models: a three-layered approach (2023) — 335 citations