Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation

5 February 2024

Papers citing "Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation"

6 / 6 papers shown

Title
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 111 0 0 13 Feb 2025
A Unified Invariant Learning Framework for Graph Classification Yongduo Sui Jie Sun Shuyao Wang Zemin Liu Daixin Wang Longfei Li Xiang Wang OOD 89 2 0 22 Jan 2025
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 45 1 0 25 Jun 2024
Cross-Task Knowledge Distillation in Multi-Task Recommendation Chenxiao Yang Junwei Pan Xiaofeng Gao Tingyu Jiang Dapeng Liu Guihai Chen 34 44 0 20 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 61 83 0 19 Jan 2021