Yao-Yuan Yang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Safety, Robustness & Interpretability — 34 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 5 citations into it

Whom Yao-Yuan Yang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ian J. Goodfellow
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Diederik P. Kingma
9. Christian Szegedy
10. Aditi Raghunathan

Who trusts Yao-Yuan Yang overall

1. Klas Leino
2. Yifan Zhang
3. Jingfeng Zhang
4. Zifan Wang

Papers from Yao-Yuan Yang's perspective

Ordered by how strongly the researchers Yao-Yuan Yang 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Closer Look at Accuracy vs. Robustness (2020) — 328 citations