Julian Collado

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Model Architectures — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Julian Collado trusts overall

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

1. Geoffrey E. Hinton
2. Jimmy Ba
3. Yoshua Bengio
4. Hugo Larochelle
5. Alex Krizhevsky
6. Jasper Snoek
7. Sepp Hochreiter
8. Pierre Baldi
9. Ian J. Goodfellow
10. Yann LeCun

Who trusts Julian Collado overall

1. Tommaso Furlanello

Papers from Julian Collado's perspective

Ordered by how strongly the researchers Julian Collado 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning, Dark Knowledge, and Dark Matter (2014) — 37 citations