Matthew Schultz

2003

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Whom Matthew Schultz trusts overall

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

1. Yuhai Wu
2. Eric P. Xing
3. Thorsten Joachims
4. Andrew Y. Ng
5. Michael I. Jordan
6. David A. Cohn

Who trusts Matthew Schultz overall

1. Aurélien Bellet
2. Brian Kulis
3. Amaury Habrard
4. Mikhail Bilenko
5. Yang Hu
6. Andrea Frome
7. Yong Luo
8. Raghavan Manmatha
9. Lufan Li
10. Lucas Caccia

Papers from Matthew Schultz's perspective

Ordered by how strongly the researchers Matthew Schultz 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learning a Distance Metric from Relative Comparisons (2003) — 784 citations