Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation

28 February 2023

Papers citing "Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation"

6 / 6 papers shown

Title
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 48 22 0 18 Oct 2021
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong Feng Yuan Lina Yao Xiwei Xu Liming Zhu CLL 34 166 0 07 Jul 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 135 1,190 0 19 Jan 2020
Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang Liang Hu Yan Wang LongBing Cao Quan Z. Sheng M. Orgun LRM BDL 58 404 0 28 Dec 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 52 106 0 30 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 781 11,793 0 09 Mar 2017