Bo Liu

Artificial Intelligence · with Wei · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Optimization & Training — 6 citations into it
• Model Architectures — 5 citations into it

Whom Bo Liu trusts overall

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

1. Xavier Glorot
2. Yoshua Bengio
3. Jerome H. Friedman
4. Eric R. Ziegel
5. Francis R. Bach
6. Kaiming He
7. Peter Auer
8. Geoffrey E. Hinton
9. Mark J van Rossum
10. Dzmitry Bahdanau

Who trusts Bo Liu overall

1. Guangneng Hu
2. Yu Zhang

Papers from Bo Liu's perspective

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

Their papers

• Transferable Contextual Bandit for Cross-Domain Recommendation (2018) — 59 citations
• Deep Neural Networks for High Dimension, Low Sample Size Data (2017) — 222 citations