Jui-Hsin Lai

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #20,741 of 21,575 by trust here, #6,873 by citations

Whom Jui-Hsin Lai trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. X. Zhang
6. Yoshua Bengio
7. Shaoqing Ren
8. Ilya Sutskever
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Jui-Hsin Lai overall

1. Yang He

Papers from Jui-Hsin Lai's perspective

Ordered by how strongly the researchers Jui-Hsin Lai 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. Learning Multiple Layers of Features from Tiny Images
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• NISP: Pruning Networks Using Neuron Importance Score Propagation (2017) — 883 citations