Feature Importance Ranking for Deep Learning

18 October 2020

Papers citing "Feature Importance Ranking for Deep Learning"

29 / 29 papers shown

Title
Iterative Feature Exclusion Ranking for Deep Tabular Learning Fathi Said Emhemed Shaninah AbdulRahman M. A. Baraka Mohd Halim Mohd Noor LMTD 88 0 1 21 Dec 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 30 1 0 17 Oct 2024
rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG Shreya Srivastava Durgesh Kumar Jatin Bedi Sandeep Seth Deepak Sharma 16 0 0 09 Oct 2024
Unveiling the Power of Sparse Neural Networks for Feature Selection Zahra Atashgahi Tennison Liu Mykola Pechenizkiy Raymond N. J. Veldhuis D. Mocanu M. Schaar 21 2 0 08 Aug 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 56 2 0 25 Apr 2024
Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment Hai Huang Yan Xia Shengpeng Ji Shulei Wang Hanting Wang Jieming Zhu Zhenhua Dong Zhou Zhao 27 6 0 08 Mar 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 29 4 0 06 Feb 2024
EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features Jianming Lv Sijun Xia Depin Liang Wei Chen 25 0 0 04 Feb 2024
Factor Importance Ranking and Selection using Total Indices Chaofan Huang V. R. Joseph 13 1 0 01 Jan 2024
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks D. D’Agostino Ilija Ilievski C. Shoemaker 17 4 0 11 Jul 2023
Effective Neural Network $L_0$ Regularization With BinMask Kai Jia Martin Rinard 26 3 0 21 Apr 2023
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks Zahra Atashgahi Xuhao Zhang Neil Kichler Shiwei Liu Lu Yin Mykola Pechenizkiy Raymond N. J. Veldhuis D. Mocanu 13 10 0 10 Mar 2023
Knowledge Discovery from Atomic Structures using Feature Importances Joakim Linja J. Hämäläinen A. Pihlajamäki Paavo Nieminen Sami Malola H. Häkkinen T. Kärkkäinen 20 1 0 28 Feb 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 25 18 0 30 Nov 2022
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data Can Chen Scott T. Weiss Yang-Yu Liu 22 17 0 25 Nov 2022
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 37 1 0 13 Oct 2022
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 29 11 0 29 Sep 2022
Variance Tolerance Factors For Interpreting ALL Neural Networks Sichao Li Amanda S. Barnard FAtt 19 3 0 28 Sep 2022
A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision Zhifeng Qiu Wanxin Zeng Dahua Liao Ning Gui 25 9 0 19 Jul 2022
An Embedded Feature Selection Framework for Control Jiawen Wei Fangyuan Wang Wan-Ting Zeng Wen-Jiun Lin Ning Gui AI4CE 22 6 0 19 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu FAtt 21 20 0 17 Jun 2022
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation Zihui Xue Zhengqi Gao Sucheng Ren Hang Zhao 17 37 0 13 Jun 2022
"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimation Peter Hardy S. Dasmahapatra Hansung Kim 11 0 0 12 May 2022
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities Christoph Obermair T. Cartier-Michaud A. Apollonio W. Millar L. Felsberger ... W. Wuensch N. C. Lasheras M. Boronat Franz Pernkopf G. Burt 17 10 0 10 Feb 2022
Ranking Feature-Block Importance in Artificial Multiblock Neural Networks Anna Jenul Stefan Schrunner B. Huynh Runar Helin C. Futsaether K. H. Liland O. Tomic FAtt 16 1 0 21 Sep 2021
Towards Understanding the Effectiveness of Attention Mechanism Xiang Ye Zihang He Heng Wang Yong Li AAML 29 8 0 29 Jun 2021
Top- $k$ Regularization for Supervised Feature Selection Xinxing Wu Q. Cheng 49 0 0 04 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Mohit Bansal OODD LRM FAtt 18 91 0 01 Jun 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 144 660 0 28 Dec 2020