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2104.14403
Cited By
Do Feature Attribution Methods Correctly Attribute Features?
27 April 2021
Yilun Zhou
Serena Booth
Marco Tulio Ribeiro
J. Shah
FAtt
XAI
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Papers citing
"Do Feature Attribution Methods Correctly Attribute Features?"
50 / 80 papers shown
Title
Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability
Simone Piaggesi
Riccardo Guidotti
F. Giannotti
D. Pedreschi
FAtt
LRM
65
0
0
29 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
19
0
0
18 Apr 2025
Fourier Feature Attribution: A New Efficiency Attribution Method
Zechen Liu
Feiyang Zhang
Wei Song
X. Li
Wei Wei
FAtt
57
0
0
02 Apr 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
Jiaxin Xu
Hung Chau
Angela Burden
TDI
46
0
0
18 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
68
2
0
28 Jan 2025
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition
Sayanta Adhikari
Rishav Kumar
Konda Reddy Mopuri
Rajalakshmi Pachamuthu
26
0
0
05 Nov 2024
Explanations that reveal all through the definition of encoding
A. Puli
Nhi Nguyen
Rajesh Ranganath
FAtt
XAI
31
1
0
04 Nov 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaML
FAtt
30
0
0
29 Oct 2024
Explainable AI needs formal notions of explanation correctness
Stefan Haufe
Rick Wilming
Benedict Clark
Rustam Zhumagambetov
Danny Panknin
Ahcène Boubekki
XAI
26
0
0
22 Sep 2024
Using Part-based Representations for Explainable Deep Reinforcement Learning
Manos Kirtas
Konstantinos Tsampazis
Loukia Avramelou
Nikolaos Passalis
Anastasios Tefas
20
0
0
21 Aug 2024
On the Evaluation Consistency of Attribution-based Explanations
Jiarui Duan
Haoling Li
Haofei Zhang
Hao Jiang
Mengqi Xue
Li Sun
Mingli Song
Jie Song
XAI
30
0
0
28 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
Daking Rai
Yilun Zhou
Shi Feng
Abulhair Saparov
Ziyu Yao
73
18
0
02 Jul 2024
Are Logistic Models Really Interpretable?
Danial Dervovic
Freddy Lecue
Nicolas Marchesotti
Daniele Magazzeni
16
0
0
19 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions
Thomas Decker
Ananta R. Bhattarai
Jindong Gu
Volker Tresp
Florian Buettner
18
2
0
07 Jun 2024
Data Science Principles for Interpretable and Explainable AI
Kris Sankaran
FaML
38
0
0
17 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
49
5
0
02 May 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution
Niklas Koenen
Marvin N. Wright
FAtt
28
5
0
17 Apr 2024
CNN-based explanation ensembling for dataset, representation and explanations evaluation
Weronika Hryniewska-Guzik
Luca Longo
P. Biecek
FAtt
43
0
0
16 Apr 2024
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey
Simon Schramm
C. Wehner
Ute Schmid
22
25
0
04 Apr 2024
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
Kacper Sokol
Julia E. Vogt
18
11
0
19 Mar 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data
Gautam Machiraju
Alexander Derry
Arjun D Desai
Neel Guha
Amir-Hossein Karimi
James Zou
Russ Altman
Christopher Ré
Parag Mallick
AI4TS
MedIm
41
0
0
18 Feb 2024
Evaluating the Utility of Model Explanations for Model Development
Shawn Im
Jacob Andreas
Yilun Zhou
XAI
FAtt
ELM
11
1
0
10 Dec 2023
Error Discovery by Clustering Influence Embeddings
Fulton Wang
Julius Adebayo
Sarah Tan
Diego Garcia-Olano
Narine Kokhlikyan
11
3
0
07 Dec 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting
Eoin M. Kenny
Eoin Delaney
Markt. Keane
18
5
0
06 Nov 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael
Walter J. Scheirer
FAtt
20
4
0
27 Oct 2023
Instance-wise Linearization of Neural Network for Model Interpretation
Zhimin Li
Shusen Liu
B. Kailkhura
Timo Bremer
Valerio Pascucci
MILM
FAtt
8
0
0
25 Oct 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
Yanrui Du
Sendong Zhao
Hao Wang
Yuhan Chen
Rui Bai
Zewen Qiang
Muzhen Cai
Bing Qin
16
0
0
20 Oct 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
Shiyuan Huang
Siddarth Mamidanna
Shreedhar Jangam
Yilun Zhou
Leilani H. Gilpin
LRM
MILM
ELM
19
64
0
17 Oct 2023
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Yang Zhang
Yawei Li
Hannah Brown
Mina Rezaei
Bernd Bischl
Philip H. S. Torr
Ashkan Khakzar
Kenji Kawaguchi
OOD
47
1
0
10 Oct 2023
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification
Rangel Daroya
Aaron Sun
Subhransu Maji
11
0
0
20 Sep 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods
Yawei Li
Yanglin Zhang
Kenji Kawaguchi
Ashkan Khakzar
Bernd Bischl
Mina Rezaei
FAtt
XAI
39
0
0
17 Aug 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
Phillip Rust
Anders Søgaard
17
3
0
17 Aug 2023
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
T. Idé
Naoki Abe
13
4
0
09 Aug 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
OOD
4
6
0
01 Aug 2023
What's meant by explainable model: A Scoping Review
Mallika Mainali
Rosina O. Weber
XAI
13
0
0
18 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
Yanran Wang
Qiuchen Qian
David E. Boyle
8
3
0
13 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing
Anton Xue
Rajeev Alur
Eric Wong
25
5
0
12 Jul 2023
Fixing confirmation bias in feature attribution methods via semantic match
Giovanni Cina
Daniel Fernandez-Llaneza
Ludovico Deponte
Nishant Mishra
Tabea E. Rober
Sandro Pezzelle
Iacer Calixto
Rob Goedhart
cS. .Ilker Birbil
FAtt
11
0
0
03 Jul 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance
Benedict Clark
Rick Wilming
Stefan Haufe
9
4
0
22 Jun 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification
Marta Oliveira
Rick Wilming
Benedict Clark
Céline Budding
Fabian Eitel
K. Ritter
Stefan Haufe
11
1
0
21 Jun 2023
A Unified Concept-Based System for Local, Global, and Misclassification Explanations
Fatemeh Aghaeipoor
D. Asgarian
Mohammad Sabokrou
FAtt
11
0
0
06 Jun 2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition
Xiao-lan Wu
P. Bell
A. Rajan
19
5
0
29 May 2023
When a CBR in Hand is Better than Twins in the Bush
Mobyen Uddin Ahmed
Shaibal Barua
Shahina Begum
Mir Riyanul Islam
Rosina O. Weber
20
1
0
09 May 2023
Neighboring Words Affect Human Interpretation of Saliency Explanations
Tim Dockhorn
Yaoliang Yu
Heike Adel
Mahdi Zolnouri
V. Nia
FAtt
MILM
28
3
0
04 May 2023
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
Hongjing Xia
Joshua C. Chang
S. Nowak
Sonya Mahajan
R. Mahajan
Ted L. Chang
Carson C. Chow
20
1
0
19 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
6
11
0
13 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
39
2
0
30 Mar 2023
Are Data-driven Explanations Robust against Out-of-distribution Data?
Tang Li
Fengchun Qiao
Mengmeng Ma
Xiangkai Peng
OODD
OOD
28
10
0
29 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Yilun Zhou
18
0
0
17 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
P. Bommer
M. Kretschmer
Anna Hedström
Dilyara Bareeva
Marina M.-C. Höhne
29
37
0
01 Mar 2023
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