ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry

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ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry

12 March 2025

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Papers citing "ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry"

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Title
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments Yile Liang Jiuxia Zhao Donghui Li Jie Feng Chen Zhang Xuetao Ding Jinghua Hao Renqing He 133 1 0 20 Jun 2024
AutoField: Automating Feature Selection in Deep Recommender SystemsThe Web Conference (WWW), 2022 Yejing Wang Xiang Zhao Tong Xu Xianren Wu 178 81 0 19 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 300 13 0 04 Apr 2022
Exploration in Online Advertising Systems with Deep Uncertainty-Aware LearningKnowledge Discovery and Data Mining (KDD), 2020 Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 377 19 0 25 Nov 2020
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 537 3,895 0 24 Jun 2016