Title
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space Maximilian Dreyer Frederik Pahde Christopher J. Anders Wojciech Samek Sebastian Lapuschkin AI4CE 34 10 0 18 Aug 2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support Tim Miller 47 123 0 24 Feb 2023
Formalising the Robustness of Counterfactual Explanations for Neural Networks Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni AAML 37 27 0 31 Aug 2022
Argumentative XAI: A Survey Kristijonas vCyras Antonio Rago Emanuele Albini P. Baroni Francesca Toni 47 144 0 24 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 91 79 0 30 Apr 2021
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 16 54 0 10 Oct 2020
Contestable Black Boxes Andrea Aler Tubella Andreas Theodorou Virginia Dignum Loizos Michael 17 10 0 09 Jun 2020
Optimal Policies Tend to Seek Power Alexander Matt Turner Logan Smith Rohin Shah Andrew Critch Prasad Tadepalli 33 67 0 03 Dec 2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 68 213 0 30 Sep 2019
A Grounded Interaction Protocol for Explainable Artificial Intelligence Prashan Madumal Tim Miller L. Sonenberg F. Vetere 67 97 0 05 Mar 2019
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 73 2,332 0 01 Nov 2017
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking Gabriele Tolomei Fabrizio Silvestri Andrew Haines M. Lalmas 32 207 0 20 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 538 21,613 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 123 3,848 0 10 Apr 2017
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
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 582 16,828 0 16 Feb 2016