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Explaining by Removing: A Unified Framework for Model Explanation
v1v2 (latest)

Explaining by Removing: A Unified Framework for Model Explanation

Journal of machine learning research (JMLR), 2020
21 November 2020
Ian Covert
Scott M. Lundberg
Su-In Lee
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Explaining by Removing: A Unified Framework for Model Explanation"

50 / 174 papers shown
Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
Beyond Additivity: Sparse Isotonic Shapley Regression toward Nonlinear Explainability
Jialai She
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194
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02 Dec 2025
CID: Measuring Feature Importance Through Counterfactual Distributions
CID: Measuring Feature Importance Through Counterfactual Distributions
Eddie Conti
Álvaro Parafita
Axel Brando
FAttCML
527
0
0
19 Nov 2025
Approximating Shapley Explanations in Reinforcement Learning
Approximating Shapley Explanations in Reinforcement Learning
Daniel Beechey
Özgür Simsek
FAttOffRL
412
1
0
08 Nov 2025
Deciphering Personalization: Towards Fine-Grained Explainability in Natural Language for Personalized Image Generation Models
Deciphering Personalization: Towards Fine-Grained Explainability in Natural Language for Personalized Image Generation Models
Haoming Wang
Wei Gao
271
0
0
02 Nov 2025
GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
Minjoo Kim
Jinwoong Kim
Sangjin Park
AIFin
613
0
0
27 Oct 2025
When LRP Diverges from Leave-One-Out in Transformers
When LRP Diverges from Leave-One-Out in Transformers
Weiqiu You
Siqi Zeng
Yao-Hung Hubert Tsai
Makoto Yamada
Han Zhao
192
0
0
21 Oct 2025
Utilizing Large Language Models for Machine Learning Explainability
Utilizing Large Language Models for Machine Learning Explainability
Alexandros Vassiliades
Nikolaos Polatidis
Stamatios Samaras
Sotiris Diplaris
Ignacio Cabrera Martin
Yannis Manolopoulos
S. Vrochidis
Ioannis Kompatsiaris
132
0
0
08 Oct 2025
Adaptive Node Feature Selection For Graph Neural Networks
Adaptive Node Feature Selection For Graph Neural Networks
Ali Azizpour
Madeline Navarro
Santiago Segarra
196
0
0
03 Oct 2025
TDHook: A Lightweight Framework for Interpretability
TDHook: A Lightweight Framework for Interpretability
Yoann Poupart
AI4CE
199
0
0
29 Sep 2025
Cross-Attention is Half Explanation in Speech-to-Text Models
Cross-Attention is Half Explanation in Speech-to-Text Models
Sara Papi
Dennis Fucci
Marco Gaido
Matteo Negri
L. Bentivogli
LRM
226
1
0
22 Sep 2025
ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA
ORACLE: Explaining Feature Interactions in Neural Networks with ANOVA
Dongseok Kim
Wonjun Jeong
Mohamed Jismy Aashik Rasool
Gisung Oh
313
0
0
13 Sep 2025
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
Woon Yee Ng
Li Wang
Siyuan Liu
Xiuyi Fan
CML
177
1
0
31 Aug 2025
On Spectral Properties of Gradient-based Explanation Methods
On Spectral Properties of Gradient-based Explanation MethodsEuropean Conference on Computer Vision (ECCV), 2025
Amir Mehrpanah
Erik Englesson
Hossein Azizpour
FAtt
200
1
0
14 Aug 2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
Amir Mehrpanah
Matteo Gamba
Kevin Smith
Hossein Azizpour
FAtt
198
0
0
14 Aug 2025
Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance
Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance
Yuchu Jiang
Jian Zhao
Yuchen Yuan
Tianle Zhang
Yao Huang
...
Ya Zhang
Shuicheng Yan
Chi Zhang
Z. He
Xuelong Li
SILM
544
6
0
12 Aug 2025
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Huiqi Deng
Hongbin Pei
Quanshi Zhang
Mengnan Du
FAtt
236
1
0
11 Aug 2025
FIRE: Faithful Interpretable Recommendation Explanations
FIRE: Faithful Interpretable Recommendation Explanations
S.M.F. Sani
Asal Meskin
Mohammad Amanlou
Hamid R. Rabiee
LRM
112
0
0
07 Aug 2025
AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption
AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption
Yanting Wang
Runpeng Geng
Ying Chen
Jinyuan Jia
273
2
1
05 Aug 2025
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
Duy Nguyen
Archiki Prasad
Elias Stengel-Eskin
Mohit Bansal
LLMSV
244
4
0
24 Jul 2025
OrdShap: Feature Position Importance for Sequential Black-Box Models
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill
Brian L. Hill
A. Masoomi
Vijay S. Nori
Robert E. Tillman
Jennifer Dy
FAtt
372
0
0
16 Jul 2025
HydroChronos: Forecasting Decades of Surface Water Change
HydroChronos: Forecasting Decades of Surface Water Change
Daniele Rege Cambrin
Eleonora Poeta
Eliana Pastor
Isaac Corley
Tania Cerquitelli
Elena Baralis
Paolo Garza
201
0
0
17 Jun 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Seongmin Lee
Aeree Cho
Grace C. Kim
ShengYun Peng
Mansi Phute
Duen Horng Chau
LM&MAAI4CE
400
6
0
05 Jun 2025
TracLLM: A Generic Framework for Attributing Long Context LLMs
TracLLM: A Generic Framework for Attributing Long Context LLMs
Yanting Wang
Wei Zou
Runpeng Geng
Jinyuan Jia
LLMAG
604
5
0
04 Jun 2025
On the reliability of feature attribution methods for speech classification
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Gaofei Shen
Hosein Mohebbi
Arianna Bisazza
Afra Alishahi
Grzegorz Chrupała
465
0
0
22 May 2025
Direct Preference Optimization for Adaptive Concept-based Explanations
Direct Preference Optimization for Adaptive Concept-based Explanations
Jacopo Teneggi
Zhenzhen Wang
Paul H. Yi
Tianmin Shu
Jeremias Sulam
588
0
0
21 May 2025
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Marouane Il Idrissi
Agathe Fernandes Machado
Ewen Gallic
Arthur Charpentier
682
3
0
19 May 2025
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui
Changkyu Choi
Andrey Barsky
Kangsoo Jung
Ernest Valveny
Dimosthenis Karatzas
413
4
0
12 May 2025
Prediction via Shapley Value Regression
Prediction via Shapley Value Regression
Amr Alkhatib
Roman Bresson
Henrik Bostrom
Michalis Vazirgiannis
TDIFAtt
458
3
0
07 May 2025
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Yiyou Sun
Y. Gai
Lijie Chen
Abhilasha Ravichander
Yejin Choi
Basel Alomair
HILM
516
12
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17 Apr 2025
FW-Shapley: Real-time Estimation of Weighted Shapley Values
FW-Shapley: Real-time Estimation of Weighted Shapley ValuesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Pranoy Panda
Siddharth Tandon
V. Balasubramanian
TDI
462
3
0
09 Mar 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model ReasoningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Guang Dai
Lijie Hu
Di Wang
LRM
481
13
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17 Feb 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
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Tobias Leemann
Alina Fastowski
Felix Pfeiffer
Gjergji Kasneci
501
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Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game TheoryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Fabian Fumagalli
Maximilian Muschalik
Eyke Hüllermeier
Barbara Hammer
J. Herbinger
FAtt
606
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22 Dec 2024
NormXLogit: The Head-on-Top Never Lies
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Sina Abbasi
Mohammad Reza Modarres
Mohammad Taher Pilehvar
381
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Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with
  Shapley Value Estimation
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Junkai Zhao
Wei Xie
Jun Luo
378
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Deep Nonparametric Conditional Independence Tests for Images
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Explanations that reveal all through the definition of encoding
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SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
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Marco Gaido
Beatrice Savoldi
Matteo Negri
Mauro Cettolo
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Disentangling Interactions and Dependencies in Feature Attribution
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Ulrike von Luxburg
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Locality Alignment Improves Vision-Language Models
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Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
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shapiq: Shapley Interactions for Machine Learning
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Hubert Baniecki
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Sufficient and Necessary Explanations (and What Lies in Between)
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