Not Just a Black Box: Learning Important Features Through Propagating
Activation Differences

Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

5 May 2016

Avanti Shrikumar

Peyton Greenside

Papers citing "Not Just a Black Box: Learning Important Features Through Propagating Activation Differences"

13 / 13 papers shown

Title
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 143 1 0 13 Mar 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders Vladimir Zaigrajew Hubert Baniecki P. Biecek 142 1 0 27 Feb 2025
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 128 2 0 07 Nov 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 133 0 0 10 Oct 2024
Explanation Space: A New Perspective into Time Series Interpretability Shahbaz Rezaei Xin Liu AI4TS 106 1 0 02 Sep 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 67 0 0 21 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 84 3 0 25 Apr 2024
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 86 82 0 17 Mar 2020
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 538 21,613 0 22 May 2017
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 174 4,653 0 21 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 285 12,662 0 11 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 177 7,252 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 321 15,825 0 12 Nov 2013