Allan Tucker

2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Allan Tucker trusts overall

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

1. Yarin Gal
2. Charles Blundell
3. Kaiming He
4. Lewis Smith
5. Julien Cornebise
6. Koray Kavukcuoglu
7. X. Zhang
8. Geoffrey E. Hinton
9. Yann LeCun
10. Alex Krizhevsky

Who trusts Allan Tucker overall

1. Alex J. DeGrave
2. Ali Narin
3. Quoc-Viet Pham
4. Xin He

Papers from Allan Tucker's perspective

Ordered by how strongly the researchers Allan Tucker trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection (2020) — 404 citations