Frédéric Blain

Natural Language Processing · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 84 citations into it
• Artificial Intelligence — 82 citations into it; #31,476 of 35,345 by trust here, #21,316 by citations
• Evaluation & Benchmarks — 33 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Large Language Models — 9 citations into it
• Machine Translation — 9 citations into it
• Optimization & Training — 9 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Frédéric Blain trusts overall

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

1. Franz Joseph Och
2. Lucia Specia
3. Philipp Koehn
4. Kenneth Heafield
5. Matthew G. Snover
6. Colin Cherry
7. Qin Gao
8. Mark Hopkins
9. Yoshua Bengio
10. Chris Callison-Burch

Who trusts Frédéric Blain overall

1. Ondrej Bojar
2. Varvara Logacheva

Papers from Frédéric Blain's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Gradient-based learning applied to document recognition

Their papers

• Unsupervised Quality Estimation for Neural Machine Translation (2020) — 310 citations
• The QT21/HimL Combined Machine Translation System (2016) — 17 citations
• Sheffield Systems for the English-Romanian WMT Translation Task (2016)
• USFD’s Phrase-level Quality Estimation Systems (2016)
• SHEF-NN: Translation Quality Estimation with Neural Networks (2015) — 25 citations
• Incremental adaptation using translation information and post-editing analysis (2012) — 18 citations