Gehui Shen

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 113 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Computer Vision and Pattern Recognition — 56 citations into it
• Representation & Self-Supervised Learning — 39 citations into it
• Meta & Continual Learning — 31 citations into it
• Generative Models — 14 citations into it
• Model Architectures — 6 citations into it
• Reinforcement Learning — 6 citations into it

Whom Gehui Shen trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ross B. Girshick
8. Ilya Sutskever
9. Max Welling
10. Oriol Vinyals

Who trusts Gehui Shen overall

1. Shuang Li

Papers from Gehui Shen's perspective

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

Their papers

• Self-Supervised Learning Aided Class-Incremental Lifelong Learning (2020) — 15 citations
• Generative Feature Replay with Orthogonal Weight Modification for Continual Learning (2020) — 25 citations