Yuanzhi Li

Artificial Intelligence · with Cohen · 2021

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

Subfields

• Artificial Intelligence — 32 citations into it
• Optimization & Training — 28 citations into it

Whom Yuanzhi Li trusts overall

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

1. James Martens
2. L. Eon Bottou
3. Yann LeCun
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Stanislaw Jastrzebski
7. Alex Krizhevsky
8. Ilya Sutskever

Papers from Yuanzhi Li's perspective

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

Their papers

• Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability (2021) — 455 citations