Fan Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 36 citations into it
• Optimization & Training — 8 citations into it

Whom Fan Chen trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Ilya Sutskever
9. Ning Qian
10. Andrew Zisserman

Papers from Fan Chen's perspective

Ordered by how strongly the researchers Fan Chen 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A Survey of Accelerator Architectures for Deep Neural Networks (2020) — 348 citations
• AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators (2020) — 72 citations