Yunzhong Hou

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yunzhong Hou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Li Fei-Fei
5. Yoshua Bengio
6. Alec Radford
7. Zhizhong Li
8. Ilya Sutskever
9. Yann LeCun
10. Diederik P. Kingma

Papers from Yunzhong Hou's perspective

Ordered by how strongly the researchers Yunzhong Hou trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Memory-Free Generative Replay For Class-Incremental Learning (2021) — 10 citations