Ke Sun

Artificial Intelligence · with Nielsen · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Scaling & Learning Theory — 13 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Ke Sun trusts overall

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

1. Jorma Rissanen
2. Jeffrey Pennington
3. Mikhail Belkin
4. Chris S. Wallace
5. Yoshua Bengio
6. Maithra Raghu
7. Geoffrey E. Hinton
8. Matthieu Courbariaux
9. Sam Schoenholz
10. Alex Krizhevsky

Who trusts Ke Sun overall

1. Zhiwei Jia
2. Hao Su

Papers from Ke Sun's perspective

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

Their papers

• Lightlike Neuromanifolds, Occam's Razor and Deep Learning (2019) — 13 citations