Song Wen

Computer Vision and Pattern Recognition · with Chan · 2023

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 39 citations into it
• Model Architectures — 24 citations into it
• Efficiency & Compression — 15 citations into it
• Optimization & Training — 12 citations into it

Whom Song Wen trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Christian Szegedy
5. Quoc V. Le
6. Sergey Ioffe
7. Yoshua Bengio
8. Ross B. Girshick
9. Yann LeCun
10. Ilya Sutskever

Papers from Song Wen's perspective

Ordered by how strongly the researchers Song Wen 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet Large Scale Visual Recognition Challenge
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Microsoft COCO: Common Objects in Context

Their papers

• Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks (2023) — 1,893 citations