Zhiwei Lin

Artificial Intelligence · with Lin · 2021

A researcher in the Science corpus: 1 paper; trusts 187 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 42 citations into it
• Representation & Self-Supervised Learning — 22 citations into it
• Meta & Continual Learning — 15 citations into it
• Reinforcement Learning — 5 citations into it

Whom Zhiwei Lin trusts overall

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

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

Papers from Zhiwei Lin's perspective

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

Their papers

• Continual Contrastive Self-supervised Learning for Image Classification (2021) — 6 citations