Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

22 March 2023

Papers citing "Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models"

6 / 6 papers shown

Title
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 100 9 0 07 Feb 2022
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 73 213 0 30 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 123 17,950 0 28 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 74 1,005 0 26 Feb 2019
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs W. James Murdoch Peter J. Liu Bin Yu 58 209 0 16 Jan 2018
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 108 585 0 10 Mar 2017