Vaneeda Allken

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #21,836 of 35,345 by trust here, #19,018 by citations
• Probabilistic & Bayesian Methods — 15 citations into it

Whom Vaneeda Allken trusts overall

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

1. Yarin Gal
2. J. Urgen Schmidhuber
3. Geoffrey E. Hinton
4. Zoubin Ghahramani
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Radford M. Neal
8. Alex Graves
9. Yann LeCun
10. Yoshua Bengio

Who trusts Vaneeda Allken overall

1. S. Murray
2. Matthias Hein
3. Lewis Smith
4. Sebastian Farquhar
5. Alexander Meinke
6. Sara Hooker
7. Yarin Gal
8. Tanya Nair

Papers from Vaneeda Allken's perspective

Ordered by how strongly the researchers Vaneeda Allken 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. ImageNet Large Scale Visual Recognition Challenge
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Leveraging uncertainty information from deep neural networks for disease detection (2016) — 553 citations