ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.12436
  4. Cited By
Feature Synergy, Redundancy, and Independence in Global Model
  Explanations using SHAP Vector Decomposition

Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition

26 July 2021
Jan Ittner
Lukasz Bolikowski
Konstantin Hemker
Ricardo Kennedy
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition"

4 / 4 papers shown
Title
Multimodal Learning Without Labeled Multimodal Data: Guarantees and
  Applications
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Paul Pu Liang
Chun Kai Ling
Yun Cheng
A. Obolenskiy
Yudong Liu
Rohan Pandey
Alex Wilf
Louis-Philippe Morency
Ruslan Salakhutdinov
OffRL
81
12
0
07 Jun 2023
Quantifying & Modeling Multimodal Interactions: An Information
  Decomposition Framework
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang
Yun Cheng
Xiang Fan
Chun Kai Ling
Suzanne Nie
...
Nicholas B. Allen
Randy P. Auerbach
Faisal Mahmood
Ruslan Salakhutdinov
Louis-Philippe Morency
116
36
0
23 Feb 2023
Unifying local and global model explanations by functional decomposition
  of low dimensional structures
Unifying local and global model explanations by functional decomposition of low dimensional structures
M. Hiabu
Josephine T. Meyer
Marvin N. Wright
FAtt
82
21
0
12 Aug 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,225
0
16 Feb 2016
1