Zeyuan Shang

Optimization & Training · 2019

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

Subfields

• Optimization & Training — 9 citations into it

Whom Zeyuan Shang trusts overall

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

1. Frank Hutter
2. Matthias Feurer
3. Richard S. Sutton
4. James Bergstra
5. Matthias Schonlau
6. Donald R. Jones
7. Barret Zoph
8. Sébastien Bubeck
9. Yoshua Bengio
10. Geoffrey E. Hinton

Who trusts Zeyuan Shang overall

1. Radwa El Shawi

Papers from Zeyuan Shang's perspective

Ordered by how strongly the researchers Zeyuan Shang 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Democratizing Data Science through Interactive Curation of ML Pipelines (2019) — 107 citations