Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction
Methods for CTR Prediction

Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction

3 August 2021

Ruiming Tang

Papers citing "Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction"

6 / 6 papers shown

Title
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation Chengming Hu Haolun Wu Xuan Li Chen-li Ma Xi Chen Jun Yan Boyu Wang Xue Liu 29 3 0 22 Dec 2023
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 22 12 0 05 Sep 2023
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 84 35 0 24 Jul 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 37 7 0 13 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 269 5,326 0 05 Nov 2016