Jinmian Ye

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it
• Artificial Intelligence — 38 citations into it
• Efficiency & Compression — 29 citations into it
• Model Architectures — 17 citations into it
• Optimization & Training — 9 citations into it

Whom Jinmian Ye trusts overall

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

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

Who trusts Jinmian Ye overall

1. Jie Ren

Papers from Jinmian Ye's perspective

Ordered by how strongly the researchers Jinmian Ye 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. Going deeper with convolutions
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks (2019) — 295 citations
• Superneurons: dynamic GPU memory management for training deep neural networks (2018) — 294 citations