Min Wen

Artificial Intelligence · with Topcu · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Reinforcement Learning — 14 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Min Wen trusts overall

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

1. Eitan Altman
2. Moritz Hardt
3. Shie Mannor
4. Michael Kearns
5. Reuven Y. Rubinstein
6. Eric Price
7. Cynthia Dwork
8. Nati Srebro

Papers from Min Wen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Equality of Opportunity in Supervised Learning
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Markov Decision Processes: Discrete Stochastic Dynamic Programming
8. Fairness through awareness
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Fairness with Dynamics (2019) — 24 citations
• Environment-Independent Task Specifications via GLTL (2017) — 162 citations