Derek C. Rose

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #10,625 of 21,575 by trust here, #7,092 by citations
• Artificial Intelligence — 33 citations into it; #16,731 of 35,345 by trust here, #8,999 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 8 citations into it

Whom Derek C. Rose trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Kunihiko Fukushima
5. James Bergstra
6. Hugo Larochelle
7. Yann LeCun
8. Ilya Sutskever
9. Kaiming He
10. Diederik P. Kingma

Who trusts Derek C. Rose overall

1. Yanming Guo
2. Yuhao Wang
3. Stefan Feuerriegel
4. Ce Zhang
5. Alexios Koutsoukas
6. Andrea Soltoggio
7. Tal Ben-Nun
8. José Hernandez-Orallo
9. Alessandro dos Santos Ferreira
10. Weibo Liu

Papers from Derek C. Rose's perspective

Ordered by how strongly the researchers Derek C. Rose trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Optimizing deep learning hyper-parameters through an evolutionary algorithm (2015) — 435 citations
• Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier] (2010) — 1,183 citations
• Evolving Deep Networks Using HPC (2017) — 45 citations