Marcis Pinnis
Natural Language Processing · 2016–2020
A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 86 citations into it; #3,603 of 5,688 by trust here, #4,601 by citations
- Artificial Intelligence — 84 citations into it; #21,099 of 35,345 by trust here, #16,471 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 7 citations into it
- Large Language Models — 5 citations into it
Whom Marcis Pinnis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Philipp Koehn
- Barry Haddow
- Matthew D. Zeiler
- Matt Post
- Kenneth Heafield
- Christopher D. Manning
- Yoshua Bengio
- Alexandra Birch
- Dzmitry Bahdanau
Who trusts Marcis Pinnis overall
- Ondrej Bojar
- Yonatan Belinkov
- Loïc Barrault
- Christian Federmann
- Matīss Rikters
- Karolina Stańczak
- Rihards Krišlauks
- Danielle Saunders
- Nadir Durrani
Papers from Marcis Pinnis's perspective
Ordered by how strongly the researchers Marcis Pinnis trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Tilde’s Machine Translation Systems for WMT 2019 (2019) — 11 citations
- Tilde’s Machine Translation Systems for WMT 2017 (2018) — 26 citations
- Data Augmentation for Pipeline-Based Speech Translation (2020) — 5 citations
- Mitigating Gender Bias in Machine Translation with Target Gender Annotations (2020) — 69 citations
- The QT21/HimL Combined Machine Translation System (2016) — 17 citations