Joern Wuebker

Natural Language Processing · 2014–2018

A researcher in the Science corpus: 7 papers; trusts 84 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 112 citations into it; #3,261 of 5,688 by trust here, #3,014 by citations
• Artificial Intelligence — 83 citations into it; #11,499 of 35,345 by trust here, #12,083 by citations
• Evaluation & Benchmarks — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it; #12,313 of 21,575 by trust here, #10,905 by citations
• Model Architectures — 19 citations into it
• Optimization & Training — 18 citations into it
• Large Language Models — 12 citations into it
• Machine Translation — 7 citations into it; #193 of 292 by trust here, #237 by citations

Whom Joern Wuebker trusts overall

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

1. Franz Joseph Och
2. Philipp Koehn
3. Geoffrey E. Hinton
4. Kenneth Heafield
5. Christopher D. Manning
6. Yoshua Bengio
7. Kaiming He
8. Andreas Stolcke
9. Jimmy Ba
10. Sepp Hochreiter

Who trusts Joern Wuebker overall

1. Rico Sennrich
2. Timo Schick
3. Philipp Koehn
4. Chris Hokamp
5. Rebecca Knowles
6. Jan-Thorsten Peter
7. Jianze Liang
8. Tsz Kin Lam
9. Shuhao Gu
10. Junxian He

Papers from Joern Wuebker's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
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. 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

• Translation Modeling with Bidirectional Recurrent Neural Networks (2014) — 195 citations
• The RWTH Aachen German-English Machine Translation System for WMT 2014 (2014) — 13 citations
• Models and Inference for Prefix-Constrained Machine Translation (2016) — 58 citations
• Compact Personalized Models for Neural Machine Translation (2018) — 56 citations
• The RWTH Aachen German-English Machine Translation System for WMT 2015 (2015) — 4 citations
• Combined spoken language translation (2014) — 21 citations
• EU-BRIDGE MT: Combined Machine Translation (2014) — 23 citations