Lucas S. Folio

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 7 citations into it

Whom Lucas S. Folio trusts overall

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

1. Linda Wang
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. François Chollet

Papers from Lucas S. Folio's perspective

Ordered by how strongly the researchers Lucas S. Folio 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. Going deeper with convolutions
4. Dropout: a simple way to prevent neural networks from overfitting
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays (2020) — 299 citations