Gustavo Paetzold
Natural Language Processing · 2015–2016
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 28 citations into it
- Artificial Intelligence — 22 citations into it; #7,293 of 35,345 by trust here, #17,110 by citations
- Evaluation & Benchmarks — 12 citations into it
Whom Gustavo Paetzold trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lucia Specia
- Tomas Mikolov
- Kashif Shah
- Carolina Scarton
- Marc Brysbaert
- Thang Luong
- Ilya Sutskever
- Holger Schwenk
- J. Urgen Schmidhuber
- Yoshua Bengio
Who trusts Gustavo Paetzold overall
- Varvara Logacheva
- Lucia Specia
- Frédéric Blain
- Carolina Scarton
- Hyun Kim
- Ondrej Bojar
- Houda Bouamor
- Oscar Sagemo
- A. Abdelsalam
- Kashif Shah
Papers from Gustavo Paetzold's perspective
Ordered by how strongly the researchers Gustavo Paetzold trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Multi-level Translation Quality Prediction with QuEst++ (2015) — 140 citations
- SimpleNets: Quality Estimation with Resource-Light Neural Networks (2016) — 6 citations
- SHEF-MIME: Word-level Quality Estimation Using Imitation Learning (2016) — 4 citations
- SHEF-NN: Translation Quality Estimation with Neural Networks (2015) — 25 citations