Andreas Guta

Natural Language Processing · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 16 citations into it
• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Model Architectures — 5 citations into it

Whom Andreas Guta trusts overall

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

1. Franz Joseph Och
2. Martin Sundermeyer
3. Sepp Hochreiter
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. Philipp Koehn
7. Kyunghyun Cho
8. Michel Galley
9. Rico Sennrich
10. David Chiang

Papers from Andreas Guta's perspective

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

1. Long Short-Term Memory
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. Bleu: a Method for Automatic Evaluation of Machine Translation
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016 (2016) — 3 citations