Automated Machine Learning

By Chen Lei. 2021

255 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Neural Architecture Search & AutoML

How researchers see this paper

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

In Artificial Intelligence

1. Zhangyang Wang
2. Quoc V. Le
3. Adams Wei Yu
4. Xuanyi Dong
5. Mingxing Tan
6. Bogdan Gabrys
7. Wuyang Chen
8. Daiyi Peng

In Neural Architecture Search & AutoML

1. Bogdan Gabrys
2. Quoc V. Le
3. Mingxing Tan
4. Daiyi Peng
5. Adams Wei Yu
6. Xuanyi Dong
7. Wuyang Chen
8. Zhangyang Wang

Citations in the corpus

• AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks (2020, positive): “The resulting framework, dubbed AutoGAN-Distiller ( AGD ), is the first AutoML framework dedicated to GAN compression (alongside the concurrent work (Li et al., 2020)), and is also among a few earliest works that explore AutoML for GANs (Gong et al., 2019).”
• AutoHAS: Differentiable Hyper-parameter and Architecture Search (2020, background): “Black-box and multi-fidelity HPO methods have a long standing history [4, 20, 21, 22, 27, 22].”
• AutoHAS: Efficient Hyperparameter and Architecture Search. (2020, unknown): “Black-box and multi-fidelity HPO methods have a long standing history (Bergstra & Bengio, 2012; Hutter, 2009; Hutter et al., 2011; 2019; Kohavi & John, 1995; Hutter et al., 2019).”