SCOUT: Self-aware Discriminant Counterfactual Explanations

16 April 2020

Papers citing "SCOUT: Self-aware Discriminant Counterfactual Explanations"

9 / 9 papers shown

Title
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 42 0 0 25 Mar 2025
Treble Counterfactual VLMs: A Causal Approach to Hallucination Li Li Jiashu Qu Yuxiao Zhou Yuehan Qin Tiankai Yang Yue Zhao 90 2 0 08 Mar 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 79 0 0 23 Nov 2024
ML-Based Teaching Systems: A Conceptual Framework Philipp Spitzer Niklas Kühl Daniel Heinz G. Satzger 14 6 0 12 May 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 26 28 0 14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 32 29 0 28 Jan 2023
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 32 55 0 29 Mar 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021
Fast Real-time Counterfactual Explanations Yunxia Zhao 17 15 0 11 Jul 2020