Kurt Cutajar

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #30,720 of 35,345 by trust here, #28,481 by citations
• Probabilistic & Bayesian Methods — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it; #19,052 of 21,575 by trust here, #18,266 by citations

Whom Kurt Cutajar trusts overall

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

1. David John Cameron MacKay
2. Alex Graves
3. Diederik P. Kingma
4. Michalis K. Titsias
5. Geoffrey E. Hinton
6. Radford M. Neal
7. Andreas C. Damianou
8. Danilo Jimenez Rezende
9. Yoshua Bengio
10. Max Welling

Who trusts Kurt Cutajar overall

1. Hugh Salimbeni
2. Pavel Izmailov
3. Dustin Tran
4. Marc Peter Deisenroth
5. Alexander Novikov
6. Michael W. Dusenberry

Papers from Kurt Cutajar's perspective

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

Their papers

• Random Feature Expansions for Deep Gaussian Processes (2016) — 153 citations