Miaomiao Zhang

Artificial Intelligence · with Du · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Miaomiao Zhang trusts overall

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

1. Andrew L. Maas
2. Robert J. Vanderbei
3. Luca Pulina

Papers from Miaomiao Zhang's perspective

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

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Intriguing properties of neural networks
3. Deep Learning
4. Learning internal representations by error propagation
5. Rectifier Nonlinearities Improve Neural Network Acoustic Models
6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
7. Hierarchical models of object recognition in cortex
8. Safety Verification of Deep Neural Networks
9. Linear Programming: Foundations and Extensions
10. Linear Programming and Extensions

Their papers

• Reluplex made more practical: Leaky ReLU (2020) — 421 citations