Yi Shi
Artificial Intelligence · with Wang · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Signal Processing — 21 citations into it
- Generative Models — 10 citations into it
- Speech & Audio — 9 citations into it
- Natural Language Processing — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Yi Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Sepp Hochreiter
- Yoshua Bengio
- Jimmy Ba
- Yann LeCun
- Jia Deng
- Kristen Grauman
Who trusts Yi Shi overall
Papers from Yi Shi's perspective
Ordered by how strongly the researchers Yi Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions