This Probably Looks Exactly Like That: An Invertible Prototypical Network

16 July 2024

Papers citing "This Probably Looks Exactly Like That: An Invertible Prototypical Network"

8 / 8 papers shown

Title
This looks like what? Challenges and Future Research Directions for Part-Prototype Models Khawla Elhadri Tomasz Michalski Adam Wróbel Jorg Schlotterer Bartosz Zieliñski C. Seifert 79 0 0 13 Feb 2025
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 25 6 0 15 Dec 2023
Human-Centered Evaluation of XAI Methods Karam Dawoud Wojciech Samek Peter Eisert Sebastian Lapuschkin Sebastian Bosse 35 4 0 11 Oct 2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification Yijun Yang H. Fu Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb Lei Zhu MedIm 80 47 0 19 Mar 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 112 0 06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 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