Arne Köhn

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #5,654 of 35,345 by trust here, #20,836 by citations
• Natural Language Processing — 11 citations into it; #1,246 of 5,688 by trust here, #4,032 by citations
• Representation & Self-Supervised Learning — 7 citations into it; #749 of 3,145 by trust here, #2,355 by citations

Whom Arne Köhn trusts overall

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

1. Tomas Mikolov
2. Richard Johansson
3. Omer Levy
4. Rami Al-Rfou
5. Mohit Bansal
6. André F. T. Martins
7. Alexandre Passos
8. Ilya Sutskever
9. Peter F. Brown
10. Kai Chen

Who trusts Arne Köhn overall

1. Yonatan Belinkov
2. Peng Qian
3. Arianna Bisazza
4. Andreas Madsen
5. Stanislaw Jastrzebski
6. Xipeng Qiu
7. James R. Glass
8. Nadir Durrani
9. Clara Tump
10. Fahim Dalvi

Papers from Arne Köhn's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation (2015) — 93 citations