Jaime Sevilla

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 Jaime Sevilla trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Dan Claudiu Ciresan
5. Diederik P. Kingma
6. Yann LeCun
7. Kaiming He
8. Ilya Sutskever
9. Tomas Mikolov
10. J. Urgen Schmidhuber

Who trusts Jaime Sevilla overall

1. Pablo Villalobos

Papers from Jaime Sevilla's perspective

Ordered by how strongly the researchers Jaime Sevilla 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

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