Title
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 44 0 0 08 May 2025
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent Liang-bo Ning Shijie Wang Wenqi Fan Qing Li Xin Xu Hao Chen Feiran Huang AAML 21 16 0 13 Apr 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark Xiaopeng Li Jingtong Gao Pengyue Jia Xiangyu Zhao Yichao Wang ... Y. Wang Yuhao Wang Xiangyu Zhao Huifeng Guo Ruiming Tang 52 1 0 17 Jan 2025
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 27 1 0 07 Jun 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models Wenqi Fan Yujuan Ding Liang-bo Ning Shijie Wang Hengyun Li Dawei Yin Tat-Seng Chua Qing Li RALM 3DV 38 181 0 10 May 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 33 1 0 03 May 2024
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
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 27 1 0 13 Feb 2024
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
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 126 45 0 12 Jul 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 36 2 0 11 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation Kun Zhou Hui Yu Wayne Xin Zhao Ji-Rong Wen 77 250 0 28 Feb 2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 39 66 0 25 Jan 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 23 54 0 05 Dec 2021
Achieving Counterfactual Fairness for Causal Bandit Wen Huang Lu Zhang Xintao Wu CML 104 22 0 21 Sep 2021
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 27 28 0 07 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 96 195 0 12 Jul 2021
Towards Accountability in the Use of Artificial Intelligence for Public Administrations M. Loi M. Spielkamp 25 45 0 04 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 96 228 0 21 Apr 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 126 119 0 21 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 52 82 0 19 Jan 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 41 68 0 21 Oct 2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations Mingkai Huang Hao Li Bing Bai Chang Wang Kun Bai Fei-Yue Wang FedML 40 30 0 25 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 563 0 27 Jul 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 57 150 0 12 Mar 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 36 212 0 30 Dec 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016