Anthony Zhe Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Reinforcement Learning — 23 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Anthony Zhe Liu trusts overall

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

1. J. Urgen Schmidhuber
2. Geoffrey E. Hinton
3. Richard S. Sutton
4. Jimmy Ba
5. Diederik P. Kingma
6. Yoshua Bengio
7. urgen Schmidhuber
8. Sergey Ioffe
9. Brian D. Ziebart
10. Alex Krizhevsky

Papers from Anthony Zhe Liu's perspective

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

Their papers

• Predictive Information Accelerates Learning in RL (2020) — 83 citations