Stephen Paul Smolley

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 152 researchers and is trusted by 303 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #2,328 of 21,575 by trust here, #1,964 by citations
• Generative Models — 50 citations into it; #466 of 1,956 by trust here, #228 by citations
• Artificial Intelligence — 27 citations into it
• Optimization & Training — 11 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Stephen Paul Smolley trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Ruslan Salakhutdinov
5. Yann LeCun
6. Radford M. Neal
7. Kaiming He
8. Yoshua Bengio
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Stephen Paul Smolley overall

1. Jun-Yan Zhu
2. Lior Wolf
3. Alexia Jolicoeur-Martineau

Papers from Stephen Paul Smolley's perspective

Ordered by how strongly the researchers Stephen Paul Smolley 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Least Squares Generative Adversarial Networks (2016) — 5,091 citations
• On the Effectiveness of Least Squares Generative Adversarial Networks (2017) — 171 citations