Xavier Ferrer Aran

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 12 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Sociology and Political Science — 10 citations into it
• Safety Research — 6 citations into it
• Information Systems — 5 citations into it

Whom Xavier Ferrer Aran trusts overall

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

1. Aylin Caliskan
2. A. Greenwald
3. Dirk Hovy
4. Mingming Cheng
5. Jeffrey Pennington
6. Tomas Mikolov
7. Clayton J. Hutto
8. Maria Antoniak
9. Tolga Bolukbasi
10. Richard Socher

Papers from Xavier Ferrer Aran's perspective

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

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

Their papers

• Discovering and Categorising Language Biases in Reddit (2020) — 54 citations
• Attesting Biases and Discrimination using Language Semantics (2019) — 8 citations