Jiaming Yang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 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 — 30 citations into it
• Scaling & Learning Theory — 16 citations into it

Whom Jiaming Yang trusts overall

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

1. Zeyuan Allen-Zhu
2. Yuanzhi Li
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yann LeCun
6. Yoshua Bengio
7. Kaiming He
8. Diederik P. Kingma
9. Ilya Sutskever
10. Jia Deng

Papers from Jiaming Yang's perspective

Ordered by how strongly the researchers Jiaming Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. ImageNet Large Scale Visual Recognition Challenge
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models (2021) — 95 citations