Shuo Yang
Artificial Intelligence · with Liu · 2021
A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 5 citations into it
Whom Shuo Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ross B. Girshick
- Bharath Hariharan
- K. Smith‐Miles
- Individualized Treat
- David E. Rumelhart
- Alex Krizhevsky
- Sergey Zagoruyko
- Sachin Ravi
- Kaiming He
Who trusts Shuo Yang overall
Papers from Shuo Yang's perspective
Ordered by how strongly the researchers Shuo Yang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Free Lunch for Few-shot Learning: Distribution Calibration (2021) — 382 citations