Ensemble Knowledge Distillation for CTR Prediction

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Ensemble Knowledge Distillation for CTR Prediction

8 November 2020

Jieming Zhu

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Papers citing "Ensemble Knowledge Distillation for CTR Prediction"

17 / 17 papers shown

Title
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Haoyang Li 83 2 0 20 Feb 2025
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 60 221 0 12 Oct 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Tongwen Huang Zhiqi Zhang Junlin Zhang 143 286 0 23 May 2019
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction Bin Liu Ruiming Tang Yingzhi Chen Jinkai Yu Huifeng Guo Yuzhou Zhang 3DV 54 153 0 09 Apr 2019
Multilingual Neural Machine Translation with Knowledge Distillation Xu Tan Yi Ren Di He Tao Qin Zhou Zhao Tie-Yan Liu 79 250 0 27 Feb 2019
MEAL: Multi-Model Ensemble via Adversarial Learning Zhiqiang Shen Zhankui He Xiangyang Xue AAML FedML 65 147 0 06 Dec 2018
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 87 857 0 29 Oct 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian Xiaohuan Zhou Fuzheng Zhang Zhongxia Chen Xing Xie Guangzhong Sun BDL 56 1,048 0 14 Mar 2018
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy Asit K. Mishra Debbie Marr FedML 65 331 0 15 Nov 2017
Deep & Cross Network for Ad Click Predictions Ruoxi Wang Bin Fu Gang Fu Mingliang Wang 104 1,234 0 17 Aug 2017
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Ziru Xu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 76 1,823 0 21 Jun 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 122 2,654 0 13 Mar 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 147 2,586 0 12 Dec 2016
Product-based Neural Networks for User Response Prediction Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang 89 716 0 01 Nov 2016
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 192 3,663 0 24 Jun 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,733 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 314 3,898 0 19 Dec 2014

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