Neil Martin Robertson

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 6 citations into it

Whom Neil Martin Robertson trusts overall

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

1. Kaiming He
2. Yoshua Bengio
3. Ross B. Girshick
4. Alex Krizhevsky
5. Shaoqing Ren
6. Geoffrey E. Hinton

Papers from Neil Martin Robertson's perspective

Ordered by how strongly the researchers Neil Martin Robertson 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DADA: Differentiable Automatic Data Augmentation (2020) — 118 citations