J. Cañete

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Natural Language Processing — 28 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom J. Cañete trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jörg Tiedemann
4. E. Tjong Kim Sang
5. Yoshua Bengio
6. Jimmy Ba
7. Jacob Devlin
8. Ilya Sutskever
9. Alex Krizhevsky
10. Taku Kudo

Who trusts J. Cañete overall

1. Katikapalli Subramanyam Kalyan
2. Abhik Bhattacharjee
3. Ajit Rajasekharan

Papers from J. Cañete's perspective

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

Their papers

• Spanish Pre-trained BERT Model and Evaluation Data (2023) — 793 citations