Huihan Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Reinforcement Learning — 42 citations into it
• Control and Systems Engineering — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Huihan Liu trusts overall

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

1. Diederik P. Kingma
2. Sergey Levine
3. Geoffrey E. Hinton
4. Pieter Abbeel
5. Chelsea Finn
6. Richard S. Sutton
7. Yoshua Bengio
8. Alex Krizhevsky
9. Yann LeCun
10. Ilya Sutskever

Papers from Huihan Liu's perspective

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

Their papers

• Parrot: Data-Driven Behavioral Priors for Reinforcement Learning (2020) — 172 citations