Laurent Romary
Artificial Intelligence · 1998–2022
A researcher in the Science corpus: 6 papers; trusts 125 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 119 citations into it; #22,660 of 35,345 by trust here, #9,275 by citations
- Natural Language Processing — 117 citations into it; #2,990 of 5,688 by trust here, #1,753 by citations
- Large Language Models — 39 citations into it
- Representation & Self-Supervised Learning — 37 citations into it; #2,513 of 3,145 by trust here, #2,404 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Evaluation & Benchmarks — 17 citations into it; #2,037 of 3,147 by trust here, #1,876 by citations
- Efficiency & Compression — 14 citations into it
- Model Architectures — 10 citations into it
Whom Laurent Romary trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Armand Joulin
- Edouard Grave
- Piotr Bojanowski
- Geoffrey E. Hinton
- Yoshua Bengio
- Alec Radford
- Ilya Sutskever
- Diederik P. Kingma
- Sepp Hochreiter
Who trusts Laurent Romary overall
- Hugo Laurenccon
- Guilherme Penedo
- Isaac Caswell
- Julien Abadji
- Changhan Wang
- Teven Le Scao
- Phillip Rust
- Pedro Ortiz Suarez
- Alexandra Sasha Luccioni
- Sachin Kumar
Papers from Laurent Romary's perspective
Ordered by how strongly the researchers Laurent Romary trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- CamemBERT: a Tasty French Language Model (2019) — 1,110 citations
- A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages (2020) — 281 citations
- Ungoliant: An Optimized Pipeline for the Generation of a Very Large-Scale Multilingual Web Corpus (2021) — 69 citations
- Towards a Cleaner Document-Oriented Multilingual Crawled Corpus (2022) — 206 citations
- Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures (2019) — 493 citations
- Veins Theory: A Model of Global Discourse Cohesion and Coherence (1998)