Matthew S. Rosen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it; #1,827 of 3,265 by trust here, #1,332 by citations
• Model Architectures — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Matthew S. Rosen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Sepp Hochreiter
4. Diederik P. Kingma
5. Pascal Vincent
6. Matthias Weigel
7. Hugo Larochelle
8. J. Urgen Schmidhuber
9. Alex Krizhevsky
10. Jimmy Ba

Who trusts Matthew S. Rosen overall

1. Arvid Lundervold

Papers from Matthew S. Rosen's perspective

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

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

Their papers

• MR fingerprinting Deep RecOnstruction NEtwork (DRONE) (2017) — 297 citations
• Image reconstruction by domain-transform manifold learning (2017) — 1,685 citations