George Williams

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom George Williams trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Antonio Torralba
4. Ruslan Salakhutdinov
5. Yoshua Bengio
6. Alex Krizhevsky
7. Navneet Dalal
8. Diederik P. Kingma
9. Aude Oliva
10. Kaiming He

Who trusts George Williams overall

1. Eric Tzeng

Papers from George Williams's perspective

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

Their papers

• Pose-Sensitive Embedding by Nonlinear NCA Regression (2010) — 29 citations