Kevin Alexander Laube

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 209 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #18,139 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #11,429 of 21,575 by trust here, #20,271 by citations
• Model Architectures — 13 citations into it
• Optimization & Training — 8 citations into it
• Neural Architecture Search & AutoML — 6 citations into it

Whom Kevin Alexander Laube trusts overall

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

1. Alex Krizhevsky
2. Barret Zoph
3. Diederik P. Kingma
4. Kaiming He
5. Geoffrey E. Hinton
6. Quoc V. Le
7. Yoshua Bengio
8. Karen Simonyan
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Kevin Alexander Laube overall

1. Colin White
2. Yash Savani
3. Sam Nolen
4. Willie Neiswanger

Papers from Kevin Alexander Laube's perspective

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

Their papers

• Prune and Replace NAS (2019) — 13 citations