Douglas L. Vail

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistical Learning Theory — 8 citations into it
• Natural Language Processing — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Douglas L. Vail trusts overall

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

1. Julian Besag
2. Andrew Y. Ng
3. Andrew McCallum
4. Robert Tibshirani
5. Michael Collins
6. Lawrence R. Rabiner
7. Trevor J. Hastie
8. Michael I. Jordan
9. Hanna M. Wallach
10. Geoffrey E. Hinton

Who trusts Douglas L. Vail overall

1. Liliana Lo Presti
2. Zuxuan Wu
3. Liming Luke Chen
4. Shugang Zhang
5. Brian D. Ziebart
6. Marco La Cascia
7. Xi Wang
8. Jesse Hoey
9. Yu-Gang Jiang
10. Zhiqiang Wei

Papers from Douglas L. Vail's perspective

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

Their papers

• Conditional random fields for activity recognition (2007) — 400 citations