Andrew Campbell

Computer Vision and Pattern Recognition · 2022

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

• Computer Vision and Pattern Recognition — 20 citations into it
• Generative Models — 20 citations into it
• Artificial Intelligence — 15 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Signal Processing — 6 citations into it

Whom Andrew Campbell trusts overall

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

1. Diederik P. Kingma
2. Colin Raffel
3. Daniel T. Gillespie
4. Darren J. Wilkinson
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Jonathan Ho
8. Jascha Narain Sohl-Dickstein
9. Alex Krizhevsky
10. Yang Song

Who trusts Andrew Campbell overall

1. Zhiqing Sun
2. Ting-Li Chen
3. Aaron Lou
4. Shen Nie
5. Jingyang Ou
6. Jiaxin Shi
7. Marianne Arriola
8. Itai Gat
9. Jiacheng Ye
10. Chengyue Wu

Papers from Andrew Campbell's perspective

Ordered by how strongly the researchers Andrew Campbell 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Continuous Time Framework for Discrete Denoising Models (2022) — 435 citations