David R. Burt

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it

Whom David R. Burt trusts overall

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

1. Michalis K. Titsias
2. Grace Wahba
3. Jorge Nocedal
4. Diederik P. Kingma
5. Jiaxin Shi
6. Ali Rahimi
7. Chao Ma
8. Jimmy Ba
9. Geoffrey E. Hinton
10. B. Recht

Papers from David R. Burt's perspective

Ordered by how strongly the researchers David R. Burt trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. GENERATIVE ADVERSARIAL NETS
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Understanding Variational Inference in Function-Space (2020) — 51 citations