Aaron Q. Li

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Aaron Q. Li trusts overall

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

1. Radford M. Neal
2. Gregor Heinrich
3. T. Griffiths
4. Alex Smola
5. David M. Blei
6. Michael I. Jordan
7. Yee Whye Teh
8. Limin Yao
9. Shravan M. Narayanamurthy
10. Mark Steyvers

Who trusts Aaron Q. Li overall

1. Jianfei Chen
2. Jian Tang
3. Rajarshi Das
4. Binbin Hu
5. Quanyu Dai
6. Kaiwei Li
7. Manzil Zaheer
8. Chuan Shi
9. Qiang Li

Papers from Aaron Q. Li's perspective

Ordered by how strongly the researchers Aaron Q. Li 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. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Reducing the sampling complexity of topic models (2014) — 224 citations
• Parameter Server for Distributed Machine Learning (2013)