Jan Rosendahl

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Jan Rosendahl trusts overall

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

1. Taku Kudo
2. Diederik P. Kingma
3. Rico Sennrich
4. Jimmy Ba
5. Peter Shaw
6. Zihang Dai
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Sepp Hochreiter
10. Ashish Vaswani

Papers from Jan Rosendahl's perspective

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

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

Their papers

• Analysis of Positional Encodings for Neural Machine Translation (2019) — 21 citations