Chee Peng Lim

Artificial Intelligence · with Wang · 2020

A researcher in the Science corpus: 1 paper; trusts 155 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Computer Vision and Pattern Recognition — 69 citations into it

Whom Chee Peng Lim trusts overall

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

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

Papers from Chee Peng Lim's perspective

Ordered by how strongly the researchers Chee Peng Lim 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A Review of Generalized Zero-Shot Learning Methods (2020) — 575 citations