(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)

13 December 2023

Papers citing "(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)"

18 / 18 papers shown

Title
BotTriNet: A Unified and Efficient Embedding for Social Bots Detection via Metric Learning Jun Wu Xuesong Ye Yanyuet Man 69 17 0 06 Apr 2023
Towards Reliable Item Sampling for Recommendation Evaluation Dong Li Ruoming Jin Zhenming Liu Bin Ren Jing Gao Zhi Liu 50 10 0 28 Nov 2022
Revisiting the Performance of iALS on Item Recommendation Benchmarks Steffen Rendle Walid Krichene Li Zhang Y. Koren 77 54 0 26 Oct 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 78 165 0 26 Sep 2021
Item Recommendation from Implicit Feedback Steffen Rendle 101 43 0 21 Jan 2021
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 61 100 0 07 Sep 2020
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 81 566 0 01 Jul 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou Jianxin Ma Jianwei Zhang Jingren Zhou Hongxia Yang 79 148 0 20 May 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited Steffen Rendle Walid Krichene Li Zhang John R. Anderson 47 422 0 19 May 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,897 0 13 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 193 3,685 0 06 Feb 2020
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 174 2,409 0 13 Jun 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 189 2,997 0 20 May 2019
Embarrassingly Shallow Autoencoders for Sparse Data Harald Steck 168 257 0 08 May 2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Steffen Rendle Li Zhang Y. Koren 73 127 0 04 May 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 269 3,552 0 06 Jun 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 183 1,243 0 16 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,265 0 30 Oct 2017