François Yvon
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 19 papers; trusts 196 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 289 citations into it; #9,671 of 35,345 by trust here, #8,157 by citations
- Natural Language Processing — 263 citations into it; #2,408 of 5,688 by trust here, #2,440 by citations
- Large Language Models — 95 citations into it
- Evaluation & Benchmarks — 68 citations into it; #1,363 of 3,147 by trust here, #2,393 by citations
- Computer Vision and Pattern Recognition — 60 citations into it
- Model Architectures — 26 citations into it; #644 of 2,278 by trust here, #999 by citations
- Optimization & Training — 22 citations into it
- Information Systems — 15 citations into it
Whom François Yvon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Joseph Och
- Yoshua Bengio
- Andreas Stolcke
- Geoffrey E. Hinton
- Rico Sennrich
- Holger Schwenk
- Philipp Koehn
- Kenneth Heafield
- Diederik P. Kingma
- Ilya Sutskever
Who trusts François Yvon overall
- Holger Schwenk
- Yonatan Belinkov
- Li Deng
- James Thorne
- Quoc-Khanh Do
- Alexander Allauzen
- Grzegorz Chrupała
- Ngoc-Quang Luong
- Jianfeng Gao
- Ondrej Bojar
Papers from François Yvon's perspective
Ordered by how strongly the researchers François Yvon 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)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Structured Output Layer neural network language model (2011) — 157 citations
- Evaluating the morphological competence of Machine Translation Systems (2017) — 63 citations
- Structured Output Layer Neural Network Language Models for Speech Recognition (2013) — 78 citations
- LIMSI Submission for WMT’14 QE Task (2014) — 14 citations
- The QT21/HimL Combined Machine Translation System (2016) — 17 citations
- Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM (2023) — 100 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- LIMSI’s Contribution to the WMT’16 Biomedical Translation Task (2016) — 5 citations
- LIMSI@WMT’16: Machine Translation of News (2016) — 12 citations
- Why Predicting Post-Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task (2015) — 8 citations
- LIMSI@WMT’15 : Translation Task (2015) — 10 citations
- The KIT-LIMSI Translation System for WMT 2015 (2015) — 5 citations
- The KIT-LIMSI Translation System for WMT 2014 (2014) — 3 citations
- LIMSI @ WMT’14 Medical Translation Task (2014) — 11 citations
- Design and Analysis of a Large Corpus of Post-Edited Translations: Quality Estimation, Failure Analysis and the Variability of Post-Edition (2013) — 16 citations
- Continuous Space Translation Models with Neural Networks (2012) — 150 citations
- Training Continuous Space Language Models: Some Practical Issues (2010) — 39 citations
- Practical Very Large Scale CRFs (2010) — 437 citations
- Detecting Fake Content with Relative Entropy Scoring (2008) — 111 citations