Differentiable Neural Architecture Search via Proximal Iterations

By Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu. 2019

14 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zechun Liu
2. Qingquan Song
3. Zichao Guo
4. Yi-Wei Chen
5. Xia Hu
6. Haoyuan Mu
7. Xiangyu Zhang
8. Yichen Wei

Citations in the corpus

• Single Path One-Shot Neural Architecture Search with Uniform Sampling (2019, background): “We note that sampling a path according to architecture distribution during optimization is already used in previous weight sharing approaches [22,4,31,28,6,20].”
• Prune and Replace NAS (2019, unknown): “2 7 grad NASP (more ops) [28] 7.”
• Techniques for Automated Machine Learning (2019, background): “Edges are SIGKDD Explorations Volume 22, Issue 2 37 Category Technique Bayesian Optimization Reinforcement Learning Evolutionary Algorithm Gradient Approach Otherss Automated Feature Engineering (AutoFE) - FeatureRL [49] NFS [14] Genetic Programming Feature Engineering [84] Genetic Programming Skewe”