Huan Long

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Huan Long trusts overall

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

1. Robert Tibshirani
2. Thomas G. Dietterich
3. Naomi S. Altman
4. Geoffrey E. Hinton

Papers from Huan Long's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. Regression Shrinkage and Selection via the Lasso
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Mastering the game of Go with deep neural networks and tree search
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Wind Turbine Gearbox Failure Identification With Deep Neural Networks (2017) — 295 citations