Yi Zhong
Artificial Intelligence · with Ma · 2024
A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Meta & Continual Learning — 31 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
Whom Yi Zhong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Liyuan Wang
- Rahaf Aljundi
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Ross B. Girshick
Papers from Yi Zhong's perspective
Ordered by how strongly the researchers Yi Zhong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge