Vraj Shah

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Information Systems — 6 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Vraj Shah trusts overall

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

1. David Ruppert
2. James Franklin
3. Diederik P. Kingma
4. Foster J. Provost
5. AnHai Doan
6. Kilian Q. Weinberger
7. Jimmy Ba
8. Yucheng Low
9. Pedro M. Domingos
10. Vladimir Naumovich Vapni

Papers from Vraj Shah's perspective

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

Their papers

• Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? (2017) — 27 citations