Yu Weng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 29 citations into it
• Model Architectures — 16 citations into it
• Neural Architecture Search & AutoML — 11 citations into it
• Optimization & Training — 5 citations into it

Whom Yu Weng trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Karen Simonyan
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Seiichi Serikawa

Who trusts Yu Weng overall

1. Xin He
2. Antoine Yang
3. Saeid Asgari Taghanaki
4. Kaiyong Zhao
5. Pedro M. Esperança

Papers from Yu Weng's perspective

Ordered by how strongly the researchers Yu Weng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automatic Convolutional Neural Architecture Search for Image Classification Under Different Scenes (2019) — 48 citations
• NAS-Unet: Neural Architecture Search for Medical Image Segmentation (2019) — 434 citations