Concept Activation Regions: A Generalized Framework For Concept-Based Explanations

22 September 2022

Papers citing "Concept Activation Regions: A Generalized Framework For Concept-Based Explanations"

11 / 11 papers shown

Title
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 158 0 0 24 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives Xiaokun Liu Sayedmohammadreza Rastegari Yijun Huang Sxe Chang Cheong Weikang Liu ... Sina Tabakhi Xianyuan Liu Zheqing Zhu Wei Sang Haiping Lu 29 0 0 04 Apr 2025
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 27 4 0 21 Apr 2024
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 30 0 0 07 Jul 2023
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
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 57 7 0 07 Feb 2022
Algorithmic Concept-based Explainable Reasoning Dobrik Georgiev Pietro Barbiero Dmitry Kazhdan Petar Velivcković Pietro Lió 72 16 0 15 Jul 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 62 416 0 15 Feb 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011