Aitor Soroa Etxabe
Artificial Intelligence · 2009–2023
A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 230 citations into it; #7,791 of 35,345 by trust here, #6,517 by citations
- Natural Language Processing — 159 citations into it
- Information Systems — 26 citations into it; #1,808 of 8,771 by trust here, #6,195 by citations
- Representation & Self-Supervised Learning — 20 citations into it
- Management Science and Operations Research — 12 citations into it
- Information Retrieval & Search — 11 citations into it
- Information Extraction — 5 citations into it
Whom Aitor Soroa Etxabe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Rada Mihalcea
- Yann LeCun
- Tomas Mikolov
- Silviu Cucerzan
- Geoffrey E. Hinton
- Diederik P. Kingma
- Benjamin Snyder
- Roberto Navigli
- Alex Krizhevsky
Who trusts Aitor Soroa Etxabe overall
- Roi Blanco
- Lluís Padró
- Roberto Navigli
- Ignacio Iacobacci
- Andrea Moro
- Maria Pelevina
- Alessandro Raganato
- Mohammad Taher Pilehvar
- Christina Lioma
- Evgeny Stanilovsky
Papers from Aitor Soroa Etxabe's perspective
Ordered by how strongly the researchers Aitor Soroa Etxabe trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- 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
- 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
- A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches (2009) — 985 citations
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset (2023) — 217 citations
- Spot the Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems (2020) — 41 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
- Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation (2018) — 7 citations
- Personalizing PageRank for Word Sense Disambiguation (2009) — 646 citations