Erpeng Chen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom Erpeng Chen trusts overall

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

1. Geoffrey E. Hinton
2. Mingsheng Long
3. Alex Krizhevsky
4. Kaiming He
5. Eric Tzeng
6. Kate Saenko
7. L. V. D. van der Maaten
8. Yoshua Bengio
9. Judy Hoffman
10. Yann LeCun

Papers from Erpeng Chen's perspective

Ordered by how strongly the researchers Erpeng 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Maximum Density Divergence for Domain Adaptation (2020) — 340 citations