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MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal
  Contributions in Vision and Language Models & Tasks

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks

15 December 2022
Letitia Parcalabescu
Anette Frank
ArXivPDFHTML

Papers citing "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks"

2 / 2 papers shown
Title
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Letitia Parcalabescu
Anette Frank
MLLM
CoGe
VLM
82
3
0
29 Apr 2024
SurvBeX: An explanation method of the machine learning survival models
  based on the Beran estimator
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
30
4
0
07 Aug 2023
1