Anne-Laure Ligozat
Artificial Intelligence · 2010–2022
A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 144 citations into it
- Natural Language Processing — 87 citations into it
- Evaluation & Benchmarks — 44 citations into it
- Computer Vision and Pattern Recognition — 35 citations into it
- Safety, Robustness & Interpretability — 26 citations into it
- Electrical and Electronic Engineering — 22 citations into it
- AI Ethics, Fairness & Society — 15 citations into it
- Model Architectures — 12 citations into it
Whom Anne-Laure Ligozat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lasse F. Wolff Anthony
- Alexandre Lacoste
- David A. Patterson
- Benjamin Kanding
- Alexandra Sasha Luccioni
- Emma Strubell
- Raghavendra Selvan
- Joseph E. Gonzalez
- Quoc V. Le
- Victor Schmidt
Who trusts Anne-Laure Ligozat overall
Papers from Anne-Laure Ligozat's perspective
Ordered by how strongly the researchers Anne-Laure Ligozat trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Language Models are Unsupervised Multitask Learners
Their papers
- Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools (2021) — 111 citations
- Unraveling the hidden environmental impacts of AI solutions for environment (2021) — 196 citations
- Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model (2022) — 557 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- CARAMBA: Concept, Assertion, and Relation Annotation using Machine-learning Based Approaches (2010) — 39 citations