Run He

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Meta & Continual Learning — 21 citations into it

Whom Run He trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yaoyao Liu
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. Ilya Sutskever
10. X. Zhang

Papers from Run He's perspective

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

Their papers

• GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task (2023) — 111 citations