Patrik Lambert
Artificial Intelligence · 2011–2012
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it
- Natural Language Processing — 63 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Optimization & Training — 6 citations into it
- Large Language Models — 5 citations into it
Whom Patrik Lambert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Holger Schwenk
- Philipp Koehn
- Franz Joseph Och
- Qin Gao
- Andreas Stolcke
- Nicola Bertoldi
- Nicola Ueffing
- Stephan Vogel
- Sadaf Abdul Rauf
- Hermann Ney
Who trusts Patrik Lambert overall
Papers from Patrik Lambert's perspective
Ordered by how strongly the researchers Patrik Lambert trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- ImageNet classification with deep convolutional neural networks
- Statistical Phrase-Based Translation
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Their papers
- LIUM’s SMT Machine Translation Systems for WMT 2012 (2012) — 16 citations
- LIUM’s SMT Machine Translation Systems for WMT 2011 (2011) — 15 citations
- Investigations on Translation Model Adaptation Using Monolingual Data (2011) — 63 citations
- Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online