Frank Liu

Artificial Intelligence · with Cao · 2019

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Efficiency & Compression — 10 citations into it
• Meta & Continual Learning — 9 citations into it
• Model Architectures — 5 citations into it

Whom Frank Liu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Marc'Aurelio Ranzato
7. Andrew Zisserman
8. Yann LeCun
9. Arslan Chaudhry
10. Diederik P. Kingma

Papers from Frank Liu's perspective

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

Their papers

• Single-Net Continual Learning with Progressive Segmented Training (2019) — 13 citations