Alan Luu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Graph Learning — 21 citations into it
• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Molecular Biology — 11 citations into it

Whom Alan Luu trusts overall

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

1. Thomas Kipf
2. Max Welling
3. Yan Zhang
4. Geoffrey E. Hinton

Papers from Alan Luu's perspective

Ordered by how strongly the researchers Alan Luu 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. Long Short-Term Memory
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Conditional Structure Generation through Graph Variational Generative Adversarial Nets (2019) — 114 citations