Kaiyuan Wang

Artificial Intelligence · 2023

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 — 65 citations into it

Whom Kaiyuan Wang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio

Papers from Kaiyuan Wang's perspective

Ordered by how strongly the researchers Kaiyuan Wang 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Symbolic Discovery of Optimization Algorithms (2023) — 679 citations