BSL: Understanding and Improving Softmax Loss for Recommendation

BSL: Understanding and Improving Softmax Loss for Recommendation

20 December 2023

Papers citing "BSL: Understanding and Improving Softmax Loss for Recommendation"

18 / 18 papers shown

Title
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo Chaoning Zhang Kang Zhang T. Pham Axi Niu Zhinan Qiao Chang D. Yoo In So Kweon 107 57 0 30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning Chaoning Zhang Kang Zhang Chenshuang Zhang T. Pham Chang D. Yoo In So Kweon SSL 63 74 0 30 Mar 2022
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 220 189 0 13 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 69 163 0 26 Sep 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 64 60 0 12 Jun 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 69 296 0 27 Apr 2021
Item Recommendation from Implicit Feedback Steffen Rendle 89 43 0 21 Jan 2021
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 79 546 0 03 Jul 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu Zheng Qin GNN 55 93 0 28 Jun 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 189 3,650 0 06 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 81 501 0 28 Jan 2020
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 90 309 0 31 Oct 2019
Distributionally Robust Counterfactual Risk Minimization Louis Faury Ugo Tanielian Flavian Vasile E. Smirnova Elvis Dohmatob 60 45 0 14 Jun 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 187 2,981 0 20 May 2019
Embarrassingly Shallow Autoencoders for Sparse Data Harald Steck 165 257 0 08 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 263 3,540 0 06 Jun 2018
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach John C. Duchi Peter Glynn Hongseok Namkoong 104 322 0 11 Oct 2016
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 152 5,727 0 09 May 2012