Zhan Song

Computer Vision and Pattern Recognition · with Gao · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 16 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Zhan Song trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Pascal Vincent
6. Salah Rifai
7. L. Eon Bottou
8. Marc'Aurelio Ranzato
9. Diederik P. Kingma
10. Radford M. Neal

Papers from Zhan Song's perspective

Ordered by how strongly the researchers Zhan Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold (2015) — 76 citations