Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions

16 July 2024

Papers citing "Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions"

20 / 20 papers shown

Title
Learning to Maximize Mutual Information for Dynamic Feature Selection Ian Covert Wei Qiu Mingyu Lu Nayoon Kim Nathan White Su-In Lee 46 29 0 02 Jan 2023
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 76 40 0 25 Apr 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 133 70 0 02 Mar 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 63 51 0 11 Jan 2021
Active Feature Acquisition with Generative Surrogate Models Yang Li Junier B. Oliva RALM TPM 49 37 0 06 Oct 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 57 106 0 01 Jun 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 57 101 0 01 May 2020
Sanity Checks for Saliency Metrics Richard J. Tomsett Daniel Harborne Supriyo Chakraborty Prudhvi K. Gurram Alun D. Preece XAI 100 170 0 29 Nov 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 120 209 0 27 Oct 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 188 1,353 0 20 Aug 2019
LassoNet: A Neural Network with Feature Sparsity Ismael Lemhadri Feng Ruan L. Abraham Robert Tibshirani 80 129 0 29 Jul 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 82 214 0 20 May 2019
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Xia Hu FaML 82 1,091 0 31 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 67 591 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 201 3,873 0 10 Apr 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 339 5,364 0 03 Nov 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013