Deshou Song

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Molecular Biology — 24 citations into it
• Optimization & Training — 19 citations into it
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Deshou Song trusts overall

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

1. Geoffrey E. Hinton
2. Paul J. Werbos
3. Alex Graves
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. Yann LeCun
7. Alex Krizhevsky
8. Ilya Sutskever
9. David E. Rumelhart
10. L. Eon Bottou

Papers from Deshou Song's perspective

Ordered by how strongly the researchers Deshou Song 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Deep Learning and Its Applications in Biomedicine (2018) — 524 citations