A. Yeung

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 19 citations into it

Whom A. Yeung trusts overall

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

1. Diederik P. Kingma
2. Karthik S. Gurumoorthy
3. Been Kim
4. Amit Dhurandhar
5. Amina Adadi
6. Grgoire Montavon
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Zachary Chase Lipton
10. Robert R. Hoffman

Papers from A. Yeung's perspective

Ordered by how strongly the researchers A. Yeung 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Sequential Explanations with Mental Model-Based Policies (2020) — 16 citations