Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

2 May 2024

Papers citing "Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models"

7 / 7 papers shown

Title
Stochastic Concept Bottleneck Models Moritz Vandenhirtz Sonia Laguna Ricards Marcinkevics Julia E. Vogt 24 9 0 27 Jun 2024
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 58 52 0 19 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 96 64 0 31 May 2022
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 130 182 0 31 May 2022
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 133 11 0 12 Aug 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016