Learning Bottleneck Concepts in Image Classification

20 April 2023

Papers citing "Learning Bottleneck Concepts in Image Classification"

7 / 7 papers shown

Title
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 62 0 0 27 Feb 2025
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks Sarah Jabbour Gregory Kondas Ella Kazerooni Michael Sjoding David Fouhey Jenna Wiens FAtt DiffM 32 1 0 19 Jul 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed MedIm DiffM 39 4 0 16 Apr 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View Chenming Shang Hengyuan Zhang Hao Wen Yujiu Yang 38 5 0 13 Apr 2024
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 89 26 0 04 Dec 2021
Learning Interpretable Concept Groups in CNNs Saurabh Varshneya Antoine Ledent Robert A. Vandermeulen Yunwen Lei Matthias Enders Damian Borth Marius Kloft 8 6 0 21 Sep 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 120 297 0 17 Oct 2019