Li'an Qiao

Optimization & Training · 2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 42 citations into it
• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Management Science and Operations Research — 10 citations into it

Whom Li'an Qiao trusts overall

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

1. James Martens
2. L. Eon Bottou
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Jorge Nocedal
6. Boris Polyak
7. Kaiming He
8. Yann LeCun
9. Ilya Sutskever
10. Matthew D. Zeiler

Papers from Li'an Qiao's perspective

Ordered by how strongly the researchers Li'an Qiao 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
9. Learning Multiple Layers of Features from Tiny Images
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• An Adaptive Remote Stochastic Gradient Method for Training Neural Networks (2019) — 3 citations
• NAMSG: An Efficient Method For Training Neural Networks (2019)