How to Explain Individual Classification Decisions

6 December 2009

Papers citing "How to Explain Individual Classification Decisions"

10 / 10 papers shown

Title
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 102 5 0 10 Jan 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 82 1 0 16 Nov 2024
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers Chenyang Yang Tesi Xiao Michael Shavlovsky Christian Kastner Tongshuang Wu 59 0 0 07 Nov 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 133 0 0 10 Oct 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 94 1 0 01 Jul 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 162 10 0 11 Jun 2024
Explaining Representation by Mutual Information Li Gu SSL FAtt 55 0 0 28 Mar 2021
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks Kirill Bykov Marina M.-C. Höhne Klaus-Robert Muller Shinichi Nakajima Marius Kloft UQCV FAtt 62 31 0 16 Jun 2020
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
"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