Can Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Can Liu trusts overall

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

1. Steven M. LaValle
2. Tuomas Haarnoja
3. Yoshua Bengio
4. Richard S. Sutton
5. Jur van den Berg

Papers from Can Liu's perspective

Ordered by how strongly the researchers Can 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. Reinforcement Learning: An Introduction
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning (2020) — 99 citations