L. S. Giraldo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Cognitive Neuroscience — 13 citations into it
• Neuroscience — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Model Architectures — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom L. S. Giraldo trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. David J. Heeger
5. Karen Simonyan
6. Yann LeCun
7. Ilya Sutskever
8. Yoshua Bengio
9. Stéphane Mallat
10. Andrew Zisserman

Papers from L. S. Giraldo's perspective

Ordered by how strongly the researchers L. S. Giraldo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Correspondence of Deep Neural Networks and the Brain for Visual Textures (2018) — 20 citations