Cong Li

Artificial Intelligence · with Adams · 2019

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 — 23 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Model Architectures — 7 citations into it

Whom Cong Li trusts overall

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

1. Barret Zoph
2. Quoc V. Le
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Han Cai
6. Kaiming He
7. Yoshua Bengio
8. Diederik P. Kingma
9. Volodymyr Mnih
10. Ilya Sutskever

Who trusts Cong Li overall

1. Weiyu Cheng

Papers from Cong Li's perspective

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

Their papers

• Neural Input Search for Large Scale Recommendation Models (2019) — 122 citations