Ensemble Knowledge Distillation for CTR Prediction

Ensemble Knowledge Distillation for CTR Prediction

8 November 2020

Jieming Zhu

Papers citing "Ensemble Knowledge Distillation for CTR Prediction"

9 / 9 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 Yiming Li 46 2 0 20 Feb 2025
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System Lei Zheng Ning Li Weinan Zhang Yong Yu AI4TS 41 0 0 24 Apr 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu Zhe Feng Zachary Robertson Sanmi Koyejo 17 2 0 01 Jun 2023
Distillation from Heterogeneous Models for Top-K Recommendation SeongKu Kang Wonbin Kweon Dongha Lee Jianxun Lian Xing Xie Hwanjo Yu VLM 35 21 0 02 Mar 2023
Unbiased Knowledge Distillation for Recommendation Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He 29 27 0 27 Nov 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation Zhen Tian Ting Bai Ziyan Zhang Zhiyuan Xu Kangyi Lin Ji-Rong Wen Wayne Xin Zhao 29 18 0 21 Nov 2022
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems Weijie Zhao Xuewu Jiao Xinsheng Luo Jingxue Li Belhal Karimi Ping Li 43 2 0 26 Sep 2022
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 20 125 0 12 Sep 2020