Model Agnostic Interpretability for Multiple Instance Learning

Model Agnostic Interpretability for Multiple Instance Learning

27 January 2022

Sarvapali Ramchurn

Papers citing "Model Agnostic Interpretability for Multiple Instance Learning"

7 / 7 papers shown

Title
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 51 3 0 08 Jan 2025
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan S. Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 104 15 0 03 Dec 2024
Multiple Instance Verification Xin Xu Eibe Frank G. Holmes 31 0 0 09 Jul 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 43 0 0 23 May 2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning Joseph Early Gavin K. C. Cheung Kurt Cutajar Hanting Xie Jas Kandola Niall Twomey AI4TS 38 11 0 16 Nov 2023
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification Joseph Early Y.-J. C. Deweese C. Evers Sarvapali Ramchurn 21 1 0 15 Nov 2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning Joseph Early Tom Bewley C. Evers Sarvapali Ramchurn OffRL 24 15 0 30 May 2022