Yuhua Li

Computer Vision and Pattern Recognition · with Li · 2022

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 32 citations into it
• Meta & Continual Learning — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Yuhua Li trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Karen Simonyan
7. Diederik P. Kingma
8. Yann LeCun
9. Jia Deng
10. Oriol Vinyals

Papers from Yuhua Li's perspective

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

Their papers

• Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation (2022) — 98 citations