S. Murray

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 12 citations into it
• Optimization & Training — 12 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom S. Murray trusts overall

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

1. Yarin Gal
2. Yann LeCun
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Kaiming He
7. Eric R. Ziegel
8. Radford M. Neal
9. Xavier Glorot
10. Zoubin Ghahramani

Who trusts S. Murray overall

1. Arvid Lundervold

Papers from S. Murray's perspective

Ordered by how strongly the researchers S. Murray 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• An Exploratory Analysis of Multi-Class Uncertainty Approximation in Bayesian Convolutional Neural Networks (2018) — 6 citations