Roman Grundkiewicz
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 8 papers; trusts 146 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 177 citations into it; #7,602 of 35,345 by trust here, #6,229 by citations
- Natural Language Processing — 171 citations into it; #1,723 of 5,688 by trust here, #1,769 by citations
- Evaluation & Benchmarks — 110 citations into it; #2,584 of 3,147 by trust here, #1,795 by citations
- Computer Vision and Pattern Recognition — 42 citations into it; #20,748 of 21,575 by trust here, #9,305 by citations
- Machine Translation — 24 citations into it; #69 of 292 by trust here, #69 by citations
- Optimization & Training — 20 citations into it
- Model Architectures — 12 citations into it
- Large Language Models — 6 citations into it
Whom Roman Grundkiewicz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Diederik P. Kingma
- Geoffrey E. Hinton
- Philipp Koehn
- Yoshua Bengio
- Taku Kudo
- Jimmy Ba
- Franz Joseph Och
- Barry Haddow
- Mariano Felice
Who trusts Roman Grundkiewicz overall
- Tao Ge
- Marcin Junczys-Dowmunt
- Felix Stahlberg
- Markus Freitag
- Xin Sun
- Eric Malmi
- Christopher Bryant
- Yu Wang
- Furu Wei
- Masahiro Kaneko
Papers from Roman Grundkiewicz's perspective
Ordered by how strongly the researchers Roman Grundkiewicz trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Marian: Fast Neural Machine Translation in C++ (2018) — 797 citations
- To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation (2021) — 250 citations
- Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing (2016) — 110 citations
- An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing (2017) — 48 citations
- Findings of the 2020 Conference on Machine Translation (WMT20) (2020) — 316 citations
- Pushing the Limits of Translation Quality Estimation (2017) — 76 citations
- Findings of the 2021 Conference on Machine Translation (WMT21) (2021) — 244 citations
- Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data (2019) — 191 citations