Javier Ferrando

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Natural Language Processing — 43 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Javier Ferrando trusts overall

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

1. Diederik P. Kingma
2. Philipp Koehn
3. Rico Sennrich

Papers from Javier Ferrando's perspective

Ordered by how strongly the researchers Javier Ferrando trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Toxicity in Multilingual Machine Translation at Scale (2022) — 33 citations
• Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters (2020) — 20 citations