Pablo Villalobos

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 8 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 — 68 citations into it

Whom Pablo Villalobos trusts overall

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

1. David Silver
2. Trieu H. Trinh
3. Geoffrey E. Hinton
4. Jaime Sevilla
5. Katherine Lee
6. Jiaxin Huang
7. Yoshua Bengio
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Quoc V. Le

Who trusts Pablo Villalobos overall

1. Arun James Thirunavukarasu

Papers from Pablo Villalobos's perspective

Ordered by how strongly the researchers Pablo Villalobos 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Will we run out of data? Limits of LLM scaling based on human-generated data (2022) — 248 citations
• Compute Trends Across Three Eras of Machine Learning (2022) — 431 citations