Min Sun

Artificial Intelligence · with Feng · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 12 citations into it

Whom Min Sun trusts overall

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

1. John Schulman

Papers from Min Sun's perspective

Ordered by how strongly the researchers Min Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. This PDF file includes: Materials and Methods
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Toward Robust Long Range Policy Transfer (2021) — 8 citations