Olac Fuentes

Computer Vision and Pattern Recognition · 1997–2007

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #16,978 of 21,575 by trust here, #17,757 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Olac Fuentes trusts overall

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

1. Sebastian Thrun
2. R. Caruana
3. Patrice Y. Simard
4. Yann LeCun
5. Jonathan Baxter
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. John S. Denker
9. Simon Osindero

Who trusts Olac Fuentes overall

1. Sergey Levine
2. Danica Kragic
3. Tianqi Chen
4. Yunhui Liu
5. Chelsea Finn

Papers from Olac Fuentes's perspective

Ordered by how strongly the researchers Olac Fuentes 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. A Fast Learning Algorithm for Deep Belief Nets
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Multitask Learning

Their papers

• Knowledge Transfer in Deep convolutional Neural Nets (2007) — 55 citations
• Experimental evaluation of uncalibrated visual servoing for precision manipulation (1997)