Hagen Blix

Artificial Intelligence · 2019–2022

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

Subfields

• Artificial Intelligence — 43 citations into it
• Natural Language Processing — 35 citations into it
• Safety, Robustness & Interpretability — 14 citations into it

Whom Hagen Blix trusts overall

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

1. Emily Dinan
2. Adina Williams
3. Eric Michael Smith
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Diederik P. Kingma
7. Alex Warstadt
8. Zeerak Talat
9. Ilya Sutskever
10. Samuel R. Bowman

Papers from Hagen Blix's perspective

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

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

Their papers

• Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs (2019) — 133 citations
• On the Machine Learning of Ethical Judgments from Natural Language (2022) — 65 citations