Feature Importance Estimation with Self-Attention Networks

Feature Importance Estimation with Self-Attention Networks

11 February 2020

Matej Petković

Papers citing "Feature Importance Estimation with Self-Attention Networks"

19 / 19 papers shown

Title
Iterative Feature Exclusion Ranking for Deep Tabular Learning Fathi Said Emhemed Shaninah AbdulRahman M. A. Baraka Mohd Halim Mohd Noor LMTD 78 0 1 21 Dec 2024
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation Azizjon Azimi Bonu Boboeva Ilyas Varshavskiy Shuhrat Khalilbekov Akhlitdin Nizamitdinov Najima Noyoftova Sergey Shulgin 19 0 0 28 Oct 2024
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes Zizhuo Meng Boyu Li Xuhui Fan Zhidong Li Yang Wang Fang Chen Feng Zhou AI4TS 15 1 0 23 Jul 2024
FeatNavigator: Automatic Feature Augmentation on Tabular Data Jiaming Liang Chuan Lei Xiao Qin Jiani Zhang Asterios Katsifodimos Christos Faloutsos Huzefa Rangwala 53 3 0 13 Jun 2024
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention Mandani Ntekouli Gerasimos Spanakis L. Waldorp A. Roefs 14 0 0 08 May 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction Yonggang Jin Ge Zhang Hao Zhao Tianyu Zheng Jiawei Guo Liuyu Xiang Shawn Yue Stephen W. Huang Zhaofeng He Jie Fu OffRL 27 4 0 06 Feb 2024
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features Hangbin Lee I. Ha Changha Hwang Youngjo Lee 16 1 0 18 Oct 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 6 67 0 25 Dec 2022
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 18 11 0 29 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 17 8 0 06 Sep 2022
Interpreting Black-box Machine Learning Models for High Dimensional Datasets Md. Rezaul Karim Md. Shajalal Alexander Grass Till Dohmen S. Chala Alexander Boden C. Beecks Stefan Decker FAtt 9 17 0 29 Aug 2022
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision Zhifeng Qiu Wanxin Zeng Dahua Liao Ning Gui 12 9 0 19 Jul 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data Dugang Liu Pengxiang Cheng Hong Zhu Xing Tang Yanyu Chen Xiaoting Wang Weike Pan Zhong Ming Xiuqiang He TDI 25 10 0 06 Jul 2022
An Embedded Feature Selection Framework for Control Jiawen Wei Fangyuan Wang Wan-Ting Zeng Wen-Jiun Lin Ning Gui AI4CE 20 6 0 19 Jun 2022
Attention-like feature explanation for tabular data A. Konstantinov Lev V. Utkin FAtt 16 5 0 10 Aug 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 12 64 0 15 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio' 10 0 0 09 Jun 2021
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings Blaž Škrlj S. Džeroski Nada Lavrac Matej Petković 11 5 0 23 Jan 2021
Feature Importance Ranking for Deep Learning Maksymilian Wojtas Ke Chen 126 116 0 18 Oct 2020