Enhancing CTR Prediction with De-correlated Expert Networks

Enhancing CTR Prediction with De-correlated Expert Networks

23 May 2025

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Papers citing "Enhancing CTR Prediction with De-correlated Expert Networks"

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Title
A Collaborative Ensemble Framework for CTR Prediction Xiaolong Liu Zhichen Zeng Xiaoyi Liu Siyang Yuan Weinan Song ... Yiping Han Rong Jin Bo Long Hanghang Tong Philip S. Yu 94 5 0 20 Nov 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang Liang Luo Yuxin Chen Jade Nie Xi Liu ... Guna Lakshminarayanan Ellie Wen Jongsoo Park Maxim Naumov Wenlin Chen ALM 98 32 0 04 Mar 2024
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Damai Dai Chengqi Deng Chenggang Zhao R. X. Xu Huazuo Gao ... Panpan Huang Fuli Luo Chong Ruan Zhifang Sui W. Liang MoE 127 319 0 11 Jan 2024
On the Embedding Collapse when Scaling up Recommendation Models Xingzhuo Guo Kai Yan Ximei Wang Baixu Chen Haohan Wang Mingsheng Long 103 25 0 06 Oct 2023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation Liangcai Su Junwei Pan Ximei Wang Xi Xiao Shijie Quan Xihua Chen Jie Jiang 90 21 0 16 Aug 2023
A Survey on Large Language Models for Recommendation Likang Wu Zhilan Zheng Zhaopeng Qiu Hao Wang Hongchao Gu ... Chen Zhu Hengshu Zhu Qi Liu Hui Xiong Enhong Chen 176 404 0 31 May 2023
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling Zuowu Zheng Xiaofeng Gao Junwei Pan Qicong Luo Guihai Chen Dapeng Liu Jie Jiang 86 6 0 27 Oct 2022
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 360 2,372 0 04 Mar 2021
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Tongwen Huang Zhiqi Zhang Junlin Zhang 154 287 0 23 May 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 142 862 0 29 Oct 2018
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising Junwei Pan Jian Xu A. L. Ruiz Wenliang Zhao Shengjun Pan Yu Sun Quan Lu 101 202 0 09 Jun 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate Xiao Ma Liqin Zhao Guan Huang Zhi Wang Zelin Hu Xiaoqiang Zhu Kun Gai 84 420 0 21 Apr 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian Xiaohuan Zhou Fuzheng Zhang Zhongxia Chen Xing Xie Guangzhong Sun BDL 65 1,056 0 14 Mar 2018
Neural Factorization Machines for Sparse Predictive Analytics Xiangnan He Tat-Seng Chua 117 1,300 0 16 Aug 2017
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Leilei Gan Tat-Seng Chua 102 925 0 15 Aug 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 255 2,707 0 23 Jan 2017
Product-based Neural Networks for User Response Prediction Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang 112 720 0 01 Nov 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 108 1,353 0 12 Apr 2016
Learning Factored Representations in a Deep Mixture of Experts David Eigen MarcÁurelio Ranzato Ilya Sutskever MoE 132 378 0 16 Dec 2013