Carlos Riquelme Ruiz

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it
• Computer Vision and Pattern Recognition — 88 citations into it

Whom Carlos Riquelme Ruiz trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Noam Shazeer
5. Kaiming He
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Karen Simonyan

Papers from Carlos Riquelme Ruiz's perspective

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

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

Their papers

• PaLI-X: On Scaling up a Multilingual Vision and Language Model (2023) — 301 citations
• Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints (2022) — 215 citations