Wei Ao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Neural Architecture Search & AutoML — 15 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Graph Learning — 10 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 7 citations into it
• Generative Models — 6 citations into it

Whom Wei Ao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Ronald J. Williams
7. Max Welling
8. Yann LeCun
9. Ilya Sutskever
10. Barret Zoph

Papers from Wei Ao's perspective

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

Their papers

• Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? (2020) — 126 citations