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Learning Robust Recommenders through Cross-Model Agreement

Learning Robust Recommenders through Cross-Model Agreement

20 May 2021
Yu Wang
Xin Xin
Zaiqiao Meng
Xiangnan He
J. Jose
Fuli Feng
ArXivPDFHTML

Papers citing "Learning Robust Recommenders through Cross-Model Agreement"

4 / 4 papers shown
Title
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Yiming Li
Hanwen Du
You Li
Junchen Fu
Chunxiao Li
Ziyi Zhuang
Jiakang Li
Yongxin Ni
AI4TS
31
0
0
19 Apr 2025
Unleashing the Power of Large Language Model for Denoising Recommendation
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang
Zhi Zheng
Yongduo Sui
Hui Xiong
111
0
0
13 Feb 2025
Large Language Model Enhanced Hard Sample Identification for Denoising
  Recommendation
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
Tianrui Song
Wenshuo Chao
Hao Liu
32
3
0
16 Sep 2024
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Lei Cheng
Xiaowen Huang
Jitao Sang
Jian Yu
AAML
25
1
0
27 Apr 2024
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