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. 2006.10965
  4. Cited By
How does this interaction affect me? Interpretable attribution for
  feature interactions

How does this interaction affect me? Interpretable attribution for feature interactions

19 June 2020
Michael Tsang
Sirisha Rambhatla
Yan Liu
    FAtt
ArXivPDFHTML

Papers citing "How does this interaction affect me? Interpretable attribution for feature interactions"

16 / 16 papers shown
Title
GIM: Improved Interpretability for Large Language Models
GIM: Improved Interpretability for Large Language Models
Joakim Edin
Róbert Csordás
Tuukka Ruotsalo
Zhengxuan Wu
Maria Maistro
Jing-ling Huang
Lars Maaløe
17
0
0
23 May 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
55
2
0
22 Dec 2024
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
Joakim Edin
Andreas Geert Motzfeldt
Casper L. Christensen
Tuukka Ruotsalo
Lars Maaløe
Maria Maistro
66
4
0
15 Aug 2024
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley
  Interactions
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
56
6
0
17 May 2024
Explaining Text Similarity in Transformer Models
Explaining Text Similarity in Transformer Models
Alexandros Vasileiou
Oliver Eberle
57
7
0
10 May 2024
Exploring the cloud of feature interaction scores in a Rashomon set
Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li
Rong Wang
Quanling Deng
Amanda S. Barnard
31
5
0
17 May 2023
How to address monotonicity for model risk management?
How to address monotonicity for model risk management?
Dangxing Chen
Weicheng Ye
26
5
0
28 Apr 2023
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
SHAP-IQ: Unified Approximation of any-order Shapley Interactions
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
63
28
0
02 Mar 2023
Interpretable Selective Learning in Credit Risk
Interpretable Selective Learning in Credit Risk
Dangxing Chen
Weicheng Ye
Jiahui Ye
FaML
43
15
0
21 Sep 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
64
56
0
05 Dec 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
Fine-grained Interpretation and Causation Analysis in Deep NLP Models
Hassan Sajjad
Narine Kokhlikyan
Fahim Dalvi
Nadir Durrani
MILM
52
8
0
17 May 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Darius Afchar
Romain Hennequin
Vincent Guigue
FAtt
52
20
0
26 Apr 2021
Improving Attribution Methods by Learning Submodular Functions
Improving Attribution Methods by Learning Submodular Functions
Piyushi Manupriya
Tarun Ram Menta
S. Jagarlapudi
V. Balasubramanian
TDI
35
6
0
19 Apr 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning
  Models on MIMIC-IV Dataset
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
Chuizheng Meng
Loc Trinh
Nan Xu
Yan Liu
29
30
0
12 Feb 2021
Explaining Local, Global, And Higher-Order Interactions In Deep Learning
Explaining Local, Global, And Higher-Order Interactions In Deep Learning
Samuel Lerman
Chenliang Xu
C. Venuto
Henry A. Kautz
FAtt
29
10
0
12 Jun 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep
  Networks
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek
Pascal Sturmfels
Su-In Lee
FAtt
47
146
0
10 Feb 2020
1