Stephen M. Chu

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 9 citations into it

Whom Stephen M. Chu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. James Bergstra
5. Kaiming He
6. Hugo Larochelle
7. Yann LeCun
8. Barret Zoph
9. Christian Szegedy
10. Diederik P. Kingma

Papers from Stephen M. Chu's perspective

Ordered by how strongly the researchers Stephen M. Chu 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. Learning Multiple Layers of Features from Tiny Images
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms (2007) — 115 citations
• Transferable AutoML by Model Sharing Over Grouped Datasets (2019) — 24 citations