Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering

26 February 2022

Papers citing "Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering"

11 / 11 papers shown

Title
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System Youngjune Lee Kee-Eung Kim 75 20 0 08 Sep 2021
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation Yifan Wang Suyao Tang Yuntong Lei Weiping Song Sheng Wang Ming Zhang 54 141 0 21 Jun 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 51 60 0 12 Jun 2021
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling Jianwen Yin Chenghao Liu Weiqing Wang Jianling Sun Guosheng Lin 28 28 0 22 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 166 615 0 10 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 48 100 0 07 Sep 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 34 129 0 07 Jun 2020
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System Jiaxi Tang Ke Wang 52 186 0 19 Sep 2018
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Yi Tay Anh Tuan Luu S. Hui 115 303 0 17 Jul 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 143 1,647 0 01 Jun 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 177 2,543 0 07 Oct 2016