Anthony Rousseau
Natural Language Processing · 2011–2014
A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 86 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 35 citations into it; #776 of 5,688 by trust here, #2,307 by citations
- Artificial Intelligence — 31 citations into it; #3,231 of 35,345 by trust here, #10,319 by citations
- Large Language Models — 14 citations into it
- Optimization & Training — 5 citations into it
Whom Anthony Rousseau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Stolcke
- Philipp Koehn
- Holger Schwenk
- Sylvain Meignier
- Brian Kingsbury
- Marcello Federico
- Amittai Axelrod
- Yoshua Bengio
- Robert C. Moore
- Franz Joseph Och
Who trusts Anthony Rousseau overall
- Hainan Xu
- Kyu J. Han
- Mauro Cettolo
- Jiban Adhikary
- Tom Kocmi
- François Hernandez
- Philipp Koehn
- Yu Zhang
- Ye Bai
- Elodie Gauthier
Papers from Anthony Rousseau's perspective
Ordered by how strongly the researchers Anthony Rousseau trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- TED-LIUM: an Automatic Speech Recognition dedicated corpus (2012) — 322 citations
- XenC: An Open-Source Tool for Data Selection in Natural Language Processing (2013) — 77 citations
- Enhancing the TED-LIUM Corpus with Selected Data for Language Modeling and More TED Talks (2014) — 304 citations
- LIUM’s SMT Machine Translation Systems for WMT 2012 (2012) — 16 citations
- Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation (2012) — 105 citations
- LIUM’s SMT Machine Translation Systems for WMT 2011 (2011) — 15 citations