Pedro Ortiz Suarez
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 9 papers; trusts 130 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 323 citations into it; #22,829 of 35,345 by trust here, #5,458 by citations
- Natural Language Processing — 248 citations into it; #2,994 of 5,688 by trust here, #1,331 by citations
- Large Language Models — 116 citations into it
- Evaluation & Benchmarks — 93 citations into it; #2,032 of 3,147 by trust here, #1,217 by citations
- Computer Vision and Pattern Recognition — 68 citations into it
- Representation & Self-Supervised Learning — 52 citations into it; #2,515 of 3,145 by trust here, #2,404 by citations
- Efficiency & Compression — 31 citations into it
- Information Systems — 31 citations into it
Whom Pedro Ortiz Suarez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Armand Joulin
- Edouard Grave
- Tomas Mikolov
- Piotr Bojanowski
- Alec Radford
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Sepp Hochreiter
Who trusts Pedro Ortiz Suarez overall
- Hugo Laurenccon
- Isaac Caswell
- Julien Abadji
- Alexandra Sasha Luccioni
- Teven Le Scao
- Guilherme Penedo
- Changhan Wang
- Aleksandra Piktus
- Christopher Akiki
- Phillip Rust
Papers from Pedro Ortiz Suarez's perspective
Ordered by how strongly the researchers Pedro Ortiz Suarez trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
- 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
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset (2023) — 217 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources (2022) — 14 citations
- Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures (2019) — 493 citations