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Feature Importance Estimation with Self-Attention Networks

Feature Importance Estimation with Self-Attention Networks

European Conference on Artificial Intelligence (ECAI), 2020
11 February 2020
Blaž Škrlj
Jannis Brugger
Nada Lavrac
Matej Petković
    FAttMILM
ArXiv (abs)PDFHTML

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

19 / 19 papers shown
Iterative Feature Exclusion Ranking for Deep Tabular Learning
Iterative Feature Exclusion Ranking for Deep Tabular Learning
Fathi Said Emhemed Shaninah
AbdulRahman M. A. Baraka
Mohd Halim Mohd Noor
LMTD
428
1
1
21 Dec 2024
zGAN: An Outlier-focused Generative Adversarial Network For Realistic
  Synthetic Data Generation
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
282
1
0
28 Oct 2024
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
Zizhuo Meng
Boyu Li
Xuhui Fan
Zhidong Li
Yang Wang
Fang Chen
Feng Zhou
AI4TS
193
3
0
23 Jul 2024
FeatNavigator: Automatic Feature Augmentation on Tabular Data
FeatNavigator: Automatic Feature Augmentation on Tabular Data
Jiaming Liang
Chuan Lei
Xiao Qin
Jiani Zhang
Asterios Katsifodimos
Christos Faloutsos
Huzefa Rangwala
252
6
0
13 Jun 2024
Explaining Clustering of Ecological Momentary Assessment Data Through
  Temporal and Feature Attention
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
Mandani Ntekouli
Gerasimos Spanakis
L. Waldorp
A. Roefs
220
1
0
08 May 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game
  Instruction
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
539
4
0
06 Feb 2024
Subject-specific Deep Neural Networks for Count Data with
  High-cardinality Categorical Features
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features
Hangbin Lee
I. Ha
Changha Hwang
Youngjo Lee
160
1
0
18 Oct 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim
Tanhim Islam
Oya Beyan
Christoph Lange
Michael Cochez
Dietrich-Rebholz Schuhmann
Stefan Decker
418
128
0
25 Dec 2022
Sequential Attention for Feature Selection
Sequential Attention for Feature SelectionInternational Conference on Learning Representations (ICLR), 2022
T. Yasuda
M. Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
415
13
0
29 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm
  for forecasting drilling accidents
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidentsJournal of Petroleum Science and Engineering (JPSE), 2022
E. Gurina
Nikita Klyuchnikov
Ksenia Antipova
D. Koroteev
FAtt
276
12
0
06 Sep 2022
Interpreting Black-box Machine Learning Models for High Dimensional
  Datasets
Interpreting Black-box Machine Learning Models for High Dimensional DatasetsInternational Conference on Data Science and Advanced Analytics (DSAA), 2022
Md. Rezaul Karim
Md. Shajalal
Alexander Grass
Till Dohmen
S. Chala
Alexander Boden
C. Beecks
Stefan Decker
FAtt
406
21
0
29 Aug 2022
A-SFS: Semi-supervised Feature Selection based on Multi-task
  Self-supervision
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervisionKnowledge-Based Systems (KBS), 2022
Zhifeng Qiu
Wanxin Zeng
Dahua Liao
Ning Gui
170
12
0
19 Jul 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
DIWIFT: Discovering Instance-wise Influential Features for Tabular DataThe Web Conference (WWW), 2022
Dugang Liu
Pengxiang Cheng
Hong Zhu
Xing Tang
Yanyu Chen
Xiaoting Wang
Weike Pan
Zhong Ming
Xiuqiang He
TDI
222
13
0
06 Jul 2022
An Embedded Feature Selection Framework for Control
An Embedded Feature Selection Framework for ControlKnowledge Discovery and Data Mining (KDD), 2022
Jiawen Wei
Fangyuan Wang
Wan-Ting Zeng
Wen-Jiun Lin
Ning Gui
AI4CE
352
6
0
19 Jun 2022
Attention-like feature explanation for tabular data
Attention-like feature explanation for tabular dataInternational Journal of Data Science and Analysis (JDSA), 2021
A. Konstantinov
Lev V. Utkin
FAtt
336
6
0
10 Aug 2021
Reverse Engineering of Generative Models: Inferring Model
  Hyperparameters from Generated Images
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Vishal Asnani
Xi Yin
Tal Hassner
Xiaoming Liu
328
85
0
15 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification
Attentional Meta-learners for Few-shot Polythetic ClassificationInternational Conference on Machine Learning (ICML), 2021
Ben Day
Ramón Viñas Torné
Nikola Simidjievski
Pietro Lio
185
1
0
09 Jun 2021
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold
  Embeddings
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold EmbeddingsMachine-mediated learning (ML), 2021
Blaž Škrlj
Jannis Brugger
Nada Lavrac
Matej Petković
180
7
0
23 Jan 2021
Feature Importance Ranking for Deep Learning
Feature Importance Ranking for Deep LearningNeural Information Processing Systems (NeurIPS), 2020
Maksymilian Wojtas
Ke Chen
337
149
0
18 Oct 2020
1
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