Zitian Chen

Artificial Intelligence · with Cheng · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it

Whom Zitian Chen trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Christian Szegedy
6. Yoshua Bengio
7. Ross B. Girshick
8. Yann LeCun
9. Jimmy Ba
10. Ilya Sutskever

Papers from Zitian Chen's perspective

Ordered by how strongly the researchers Zitian Chen 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study (2021) — 83 citations