AutoLoss: Automated Loss Function Search in Recommendations

12 June 2021

Papers citing "AutoLoss: Automated Loss Function Search in Recommendations"

28 / 28 papers shown

Title
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 46 0 0 08 May 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu Liang Lin LRM 54 2 0 08 Mar 2025
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems Haibo Xing Kanefumi Matsuyama Hao Deng Jinxin Hu Yu Zhang Xiaoyi Zeng 38 0 0 22 Feb 2025
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng C. L. P. Chen C. Wang 45 2 0 31 Oct 2024
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction Yunpeng Weng Xing Tang Zhenhao Xu Fuyuan Lyu Dugang Liu Zexu Sun Xiuqiang He 32 2 0 16 Aug 2024
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems Pengyue Jia Yejing Wang Zhaochen Du Xiangyu Zhao Yichao Wang Bo Chen Wanyu Wang Huifeng Guo Ruiming Tang 19 7 0 19 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 14 5 0 20 Dec 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 19 13 0 11 Aug 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 61 308 0 05 Jul 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao 17 7 0 06 Jun 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning Zijian Zhang Xiangyu Zhao Hao Miao Chunxu Zhang Hongwei Zhao Junbo Zhang AI4TS 18 19 0 16 Apr 2023
IMF: Interactive Multimodal Fusion Model for Link Prediction Xinhang Li Xiangyu Zhao Jiaxing Xu Yong Zhang Chunxiao Xing 32 39 0 20 Mar 2023
AutoMLP: Automated MLP for Sequential Recommendations Muyang Li Zijian Zhang Xiangyu Zhao Wanyu Wang Minghao Zhao Runze Wu Ruocheng Guo AI4TS 20 44 0 11 Mar 2023
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 42 5 0 05 Oct 2022
Disentangled Contrastive Learning for Social Recommendation Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Ke Tang 18 67 0 18 Aug 2022
Knowledge-enhanced Black-box Attacks for Recommendations Jingfan Chen Wenqi Fan Guanghui Zhu Xiangyu Zhao C. Yuan Qing Li Y. Huang MLAU AAML 27 50 0 21 Jul 2022
SPR:Supervised Personalized Ranking Based on Prior Knowledge for Recommendation Chun Yang Shicai Fan OffRL 17 0 0 07 Jul 2022
AutoLossGen: Automatic Loss Function Generation for Recommender Systems Zelong Li Jianchao Ji Yingqiang Ge Yongfeng Zhang OffRL 14 23 0 27 Apr 2022
AutoField: Automating Feature Selection in Deep Recommender Systems Yejing Wang Xiang Zhao Tong Bill Xu Xianren Wu 10 65 0 19 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 18 6 0 04 Apr 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SeongKu Kang Dongha Lee Wonbin Kweon Junyoung Hwang Hwanjo Yu 9 12 0 26 Feb 2022
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 66 101 0 12 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 37 28 0 07 Aug 2021
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction Fuyuan Lyu Xing Tang Huifeng Guo Ruiming Tang Xiuqiang He Rui Zhang Xue Liu 16 22 0 03 Aug 2021
Predicting Disease Progress with Imprecise Lab Test Results Mei Wang Jianwen Su Zhi-kai Lin 6 0 0 08 Jul 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 23 76 0 10 Jun 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 57 82 0 19 Jan 2021