Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection

19 June 2020

Papers citing "Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection"

7 / 7 papers shown

Title
Exploring the cloud of feature interaction scores in a Rashomon set Sichao Li Rong Wang Quanling Deng Amanda S. Barnard 22 5 0 17 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 22 3 0 09 Apr 2023
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 39 59 0 11 Nov 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 30 60 0 12 Jun 2021
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 19 3 0 06 Oct 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data Yuexiang Xie Zhen Wang Yaliang Li Bolin Ding Nezihe Merve Gürel Ce Zhang Minlie Huang Wei Lin Jingren Zhou 49 28 0 29 Jul 2020