Towards Automated Neural Interaction Discovery for Click-Through Rate
Prediction

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

29 June 2020

Papers citing "Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction"

16 / 16 papers shown

Title
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems Runlong Yu Qixiang Shao Qi Liu Huan Liu Enhong Chen 25 0 0 29 May 2024
DistDNAS: Search Efficient Feature Interactions within 2 Hours Tunhou Zhang W. Wen Igor Fedorov Xi Liu Buyun Zhang ... Wen-Yen Chen Yiping Han Feng Yan Hai Helen Li Yiran Chen 13 1 0 01 Nov 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification Kuan-Yu Chen Cheng Li Kuo-Jung Lee 28 1 0 12 Jul 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao 17 7 0 06 Jun 2023
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 21 18 0 21 Nov 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) H. Chen Yunqi Li He Zhu Yongfeng Zhang 31 5 0 23 Aug 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 20 6 0 04 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 19 20 0 30 Mar 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 22 19 0 19 Jan 2022
Differentiable NAS Framework and Application to Ads CTR Prediction Ravi Krishna Aravind Kalaiah Bichen Wu Maxim Naumov Dheevatsa Mudigere M. Smelyanskiy Kurt Keutzer 20 8 0 25 Oct 2021
Accelerating Evolutionary Neural Architecture Search via Multi-Fidelity Evaluation Shangshang Yang Ye Tian Xiaoshu Xiang Shichen Peng Xing-yi Zhang 23 20 0 10 Aug 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 25 60 0 12 Jun 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 27 108 0 21 Apr 2021
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data Yuexiang Xie Zhen Wang Yaliang Li Bolin Ding Nezihe Merve Gürel Ce Zhang Minlie Huang Wei Lin Jingren Zhou 46 28 0 29 Jul 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 11 16 0 10 Jun 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016