Kaiyuan Li

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 79 citations into it
• Computer Vision and Pattern Recognition — 54 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Meta & Continual Learning — 8 citations into it

Whom Kaiyuan Li trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ferenc Huszár
6. Sergey Zagoruyko
7. Yann LeCun
8. Diederik P. Kingma
9. L. V. D. van der Maaten
10. Ilya Sutskever

Papers from Kaiyuan Li's perspective

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

Their papers

• Continual Contrastive Learning for Cross-Dataset Scene Classification (2022) — 8 citations
• RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms (2020) — 601 citations