Yuan Yuan
Computer Vision and Pattern Recognition · with Lin · 2020
A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
- Ecology — 14 citations into it
- Media Technology — 14 citations into it
- Artificial Intelligence — 11 citations into it
- Atmospheric Science — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Yuan Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marc Rußwurm
- Kaiming He
- Charlotte Pelletier
- Jimmy Ba
- Geoffrey E. Hinton
- Mike Schuster
- Longlong Jing
- Yoshua Bengio
- Marco Körner
- Jacob Devlin
Who trusts Yuan Yuan overall
Papers from Yuan Yuan's perspective
Ordered by how strongly the researchers Yuan Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification (2020) — 177 citations