Qiaochu Yuan

Optimization & Training · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 11 citations into it; #2,371 of 2,601 by trust here, #1,638 by citations
• Artificial Intelligence — 10 citations into it; #30,483 of 35,345 by trust here, #18,586 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Qiaochu Yuan trusts overall

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

1. Yurii E. Nesterov
2. Alex Krizhevsky
3. Karen Simonyan
4. Kaiming He
5. Sergey Ioffe
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Christian Szegedy
9. Andrew Zisserman
10. Diederik P. Kingma

Who trusts Qiaochu Yuan overall

1. Jianyu Wang
2. Hanlin Tang
3. Yuanming Shi
4. Jihong Park
5. J. Daily

Papers from Qiaochu Yuan's perspective

Ordered by how strongly the researchers Qiaochu Yuan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• How to scale distributed deep learning? (2016) — 138 citations