Chi Harold Liu

Artificial Intelligence · with Gao · 2023

A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Meta & Continual Learning — 16 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Chi Harold Liu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Umberto Michieli
5. Yoshua Bengio
6. Ross B. Girshick
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Papers from Chi Harold Liu's perspective

Ordered by how strongly the researchers Chi Harold 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Long Short-Term Memory

Their papers

• CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation (2023) — 37 citations