Bo Li

Computer Vision and Pattern Recognition · with Huan · 2018

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #17,042 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 14 citations into it; #27,615 of 35,345 by trust here, #31,361 by citations
• Model Architectures — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Bo Li trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. X. Zhang
7. Yann LeCun
8. Gao Huang
9. Xavier Glorot
10. Karen Simonyan

Who trusts Bo Li overall

1. Nicholas Carlini
2. Nicolas Papernot
3. Ú. Erlingsson

Papers from Bo Li's perspective

Ordered by how strongly the researchers Bo Li 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Data Dropout: Optimizing Training Data for Convolutional Neural Networks (2018) — 65 citations