Counterfactual Explanations for Neural Recommenders

11 May 2021

Papers citing "Counterfactual Explanations for Neural Recommenders"

26 / 26 papers shown

Title
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems Rishiraj Saha Roy Joel Schlotthauer Chris Hinze Andreas Foltyn Luzian Hahn Fabian Kuech RALM 79 0 0 13 Dec 2024
Performance-Driven QUBO for Recommender Systems on Quantum Annealers Jiayang Niu Jie Li Ke Deng Mark Sanderson Yongli Ren 20 0 0 20 Oct 2024
Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations Chaoran Chen Leyang Li Luke Cao Yanfang Ye Tianshi Li Yaxing Yao Toby Jia-jun Li MLAU 35 2 0 07 Oct 2024
CRUISE on Quantum Computing for Feature Selection in Recommender Systems Jiayang Niu Jie Li Ke Deng Yongli Ren 16 1 0 03 Jul 2024
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning Jiajun Cui Minghe Yu Bo Jiang Aimin Zhou Jianyong Wang Wei Zhang 19 2 0 01 Dec 2023
Explainable History Distillation by Marked Temporal Point Process Sishun Liu Ke Deng Yan Wang Xiuzhen Zhang 28 0 0 13 Nov 2023
Causal Interpretation of Self-Attention in Pre-Trained Transformers R. Y. Rohekar Yaniv Gurwicz Shami Nisimov MILM 18 14 0 31 Oct 2023
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Yiming Li Daling Wang Wenfang Wu Shi Feng Yifei Zhang CML 29 1 0 28 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang X. J. Yang Boyang Albert Li 11 3 0 25 Sep 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 13 1 0 28 Aug 2023
Counterfactual Collaborative Reasoning Jianchao Ji Zelong Li Shuyuan Xu Max Xiong Juntao Tan Yingqiang Ge Hao Wang Yongfeng Zhang CML LRM 8 11 0 30 Jun 2023
Towards Explainable Conversational Recommender Systems Shuyu Guo Shuo Zhang Weiwei Sun Pengjie Ren Zhumin Chen Z. Ren LRM 6 13 0 27 May 2023
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data Jonas C. Ditz Bernhard Reuter Nícolas Pfeifer 11 1 0 02 Dec 2022
Learning to Counterfactually Explain Recommendations Yuanshun Yao Chong Wang Hang Li CML OffRL 17 1 0 17 Nov 2022
CLEAR: Causal Explanations from Attention in Neural Recommenders Shami Nisimov R. Y. Rohekar Yaniv Gurwicz G. Koren Gal Novik CML 11 6 0 07 Oct 2022
Dynamic Causal Collaborative Filtering Shuyuan Xu Juntao Tan Zuohui Fu Jianchao Ji Shelby Heinecke Yongfeng Zhang 11 17 0 23 Aug 2022
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs Thanh Tam Nguyen Thanh Cong Phan Minh Hieu Nguyen Matthias Weidlich Hongzhi Yin Jun Jo Quoc Viet Hung Nguyen MLAU 12 17 0 17 Jul 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 22 15 0 14 Jul 2022
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency Iñigo López-Riobóo Botana V. Bolón-Canedo B. Guijarro-Berdiñas Amparo Alonso-Betanzos 16 2 0 03 May 2022
Counterfactually Evaluating Explanations in Recommender Systems Yuanshun Yao Chong Wang Hang Li OffRL LRM 33 6 0 02 Mar 2022
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 16 15 0 28 Oct 2021
Counterfactual Explainable Recommendation Juntao Tan Shuyuan Xu Yingqiang Ge Yunqi Li Xu Chen Yongfeng Zhang CML 14 141 0 24 Aug 2021
SiReN: Sign-Aware Recommendation Using Graph Neural Networks Changwon Seo Kyeong-Joong Jeong Sungsu Lim Won-Yong Shin 12 18 0 19 Aug 2021
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models Azin Ghazimatin Soumajit Pramanik Rishiraj Saha Roy G. Weikum 30 18 0 15 Feb 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 19 48 0 03 Feb 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 106 0 20 Oct 2020