Félix Castejón-Mateos

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 10 citations into it

Whom Félix Castejón-Mateos trusts overall

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

1. Corinna Cortes
2. Jeremy Howard
3. Tomas Mikolov
4. Ashima Yadav

Papers from Félix Castejón-Mateos's perspective

Ordered by how strongly the researchers Félix Castejón-Mateos trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• A review on sentiment analysis from social media platforms (2023) — 324 citations