Andrew S. Lan

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #28,278 of 35,345 by trust here, #34,213 by citations
• Computational Mechanics — 10 citations into it; #7,975 of 10,001 by trust here, #9,862 by citations
• Computer Science Applications — 8 citations into it; #1,273 of 1,855 by trust here, #1,797 by citations
• Optimization & Training — 7 citations into it

Whom Andrew S. Lan trusts overall

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

1. Stephen P. Boyd
2. E.J. Candes
3. Geoffrey E. Hinton
4. Maryam Fazel
5. Jian-Feng Cai
6. Yoshua Bengio
7. Diederik P. Kingma
8. Jonathan L. Herlocker
9. Jimmy Ba
10. Yann LeCun

Who trusts Andrew S. Lan overall

1. Antonio Polino
2. Razvan Pascanu

Papers from Andrew S. Lan's perspective

Ordered by how strongly the researchers Andrew S. Lan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Dropout: a simple way to prevent neural networks from overfitting
10. Going deeper with convolutions

Their papers

• Matrix recovery from quantized and corrupted measurements (2014) — 34 citations
• Context-Aware Attentive Knowledge Tracing (2020) — 636 citations