Sheng Xu

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Scaling & Learning Theory — 6 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Sheng Xu trusts overall

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

1. Francis R. Bach
2. Youngmin Cho
3. Alberto Bietti
4. Philippe Flajolet
5. Sanjeev Arora
6. Simon Shaolei Du
7. Arthur Jacot
8. Julien Mairal
9. Lawrence K. Saul
10. Amnon Geifman

Who trusts Sheng Xu overall

1. Yuval Belfer
2. Amnon Geifman

Papers from Sheng Xu's perspective

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

Their papers

• Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS (2020) — 103 citations