Yuanhao Yu

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Representation & Self-Supervised Learning — 19 citations into it

Whom Yuanhao Yu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton

Papers from Yuanhao Yu's perspective

Ordered by how strongly the researchers Yuanhao Yu 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. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. Long Short-Term Memory

Their papers

• MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning (2022) — 188 citations
• Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay (2022) — 137 citations