Cristina España-Bonet

Artificial Intelligence · 2003–2021

A researcher in the Science corpus: 6 papers; trusts 97 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 132 citations into it; #32,483 of 35,345 by trust here, #17,412 by citations
• Natural Language Processing — 123 citations into it; #5,231 of 5,688 by trust here, #3,826 by citations
• Evaluation & Benchmarks — 48 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Information Systems — 10 citations into it
• Model Architectures — 9 citations into it
• Large Language Models — 7 citations into it

Whom Cristina España-Bonet trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Philipp Koehn
2. Tomas Mikolov
3. Rico Sennrich
4. Yoshua Bengio
5. Ilya Sutskever
6. Paul McNamee
7. Chih-Jen Lin
8. Kyunghyun Cho
9. Geoffrey E. Hinton
10. Dzmitry Bahdanau

Who trusts Cristina España-Bonet overall

1. Holger Schwenk
2. Jiahua Liu
3. Carlos Escolano
4. John Wieting
5. Marta Ruiz Costa-jussà
6. Mikel Artetxe
7. Yankai Lin
8. Vishrav Chaudhary
9. Philipp Koehn
10. Paul-Ambroise Duquenne

Papers from Cristina España-Bonet's perspective

Ordered by how strongly the researchers Cristina España-Bonet trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• An Empirical Analysis of NMT-Derived Interlingual Embeddings and Their Use in Parallel Sentence Identification (2017) — 75 citations
• Findings of the 2021 Conference on Machine Translation (WMT21) (2021) — 244 citations
• Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation (2020) — 14 citations
• Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity (2017) — 7 citations
• The TALP–UPC Spanish–English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System (2016) — 13 citations
• Variable cosmological constant as a Planck scale effect (2003) — 175 citations