Benjamin Lecouteux
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it; #11,109 of 35,345 by trust here, #12,974 by citations
- Natural Language Processing — 59 citations into it; #2,047 of 5,688 by trust here, #2,695 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Representation & Self-Supervised Learning — 11 citations into it; #2,774 of 3,145 by trust here, #3,047 by citations
- Signal Processing — 9 citations into it; #6,612 of 7,572 by trust here, #5,570 by citations
- Speech & Audio — 7 citations into it; #932 of 1,076 by trust here, #941 by citations
Whom Benjamin Lecouteux trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Slav Petrov
- Geoffrey E. Hinton
- Diederik P. Kingma
- John D. Lafferty
- Yoshua Bengio
- Thomas Lavergne
- Daniel Klein
- Ilya Sutskever
- Jimmy Ba
- Alex Krizhevsky
Who trusts Benjamin Lecouteux overall
Papers from Benjamin Lecouteux's perspective
Ordered by how strongly the researchers Benjamin Lecouteux trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- FlauBERT: Unsupervised Language Model Pre-training for French (2019) — 441 citations
- Analyzing Learned Representations of a Deep ASR Performance Prediction Model (2018) — 14 citations
- LIG System for Word Level QE task at WMT14 (2014) — 29 citations
- The Sweet-Home speech and multimodal corpus for home automation interaction (2014) — 76 citations
- LIG System for WMT13 QE Task: Investigating the Usefulness of Features in Word Confidence Estimation for MT (2013) — 26 citations