Emil Fristed

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Natural Language Processing — 31 citations into it
• Evaluation & Benchmarks — 17 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Emil Fristed trusts overall

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

1. Chin-Yew Lin
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Jörg Tiedemann
6. Maja Popovic
7. Samuel R. Bowman
8. Ilya Sutskever
9. Yinhan Liu
10. Alex Krizhevsky

Papers from Emil Fristed's perspective

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

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

Their papers

• Generative Pretraining for Paraphrase Evaluation (2021) — 12 citations