Oct 14, 2020 · Specifically, AutoADR leverages a one-shot neural architecture search algorithm to find a tailored network architecture for Ad Relevance. The ...

Oct 19, 2020 · Specifically, AutoADR leverages a one-shot neural architecture search algorithm to find a tailored network architecture for Ad Relevance. The ...

Oct 19, 2020 · Specifically,. AutoADR leverages a one-shot neural architecture search algorithm to find a tailored network architecture for Ad Relevance. The ...

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AutoADR: Automatic Model Design for Ad Relevance ; CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, ...

AutoADR: Automatic Model Design for Ad Relevance. Y. Chen, Y. Yang, H. Sun, Y. Wang, Y. Xu, W. Shen, R. Zhou, Y. Tong, J. Bai, and R. Zhang.

In this paper, we propose AutoADR (Automatic model design for AD Relevance) -- a novel end-to-end framework to address this challenge, and share our experience ...

In this paper, we propose AutoADR (Automatic model design for AD Relevance) -- a novel end-to-end framework to address this challenge, and share our experience ...

We are intensively working on both tool chain and research to make automatic model design and tuning really practical and powerful. On the one hand, our main ...