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Axiomatic Attribution for Deep Networks
v1v2 (latest)

Axiomatic Attribution for Deep Networks

4 March 2017
Mukund Sundararajan
Ankur Taly
Qiqi Yan
    OODFAtt
ArXiv (abs)PDFHTML

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown
Title
Time series saliency maps: explaining models across multiple domains
Time series saliency maps: explaining models across multiple domains
Christodoulos Kechris
Jonathan Dan
David Atienza
AI4TSFAtt
76
0
0
19 May 2025
Addressing the Scarcity of Benchmarks for Graph XAI
Addressing the Scarcity of Benchmarks for Graph XAI
Michele Fontanesi
Alessio Micheli
Marco Podda
Domenico Tortorella
79
0
0
18 May 2025
Truth Neurons
Truth Neurons
Haohang Li
Yupeng Cao
Yangyang Yu
Jordan W. Suchow
Zining Zhu
HILMMILMKELM
73
0
0
18 May 2025
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
Yifan Dai
Xuanbai Ren
Tengfei Ma
Qipeng Yan
Yiping Liu
Yuansheng Liu
Xiangxiang Zeng
163
0
0
17 May 2025
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
M Ruhul Amin
190
0
0
17 May 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Ning Lu
Shengcai Liu
Jiahao Wu
Weiyu Chen
Zhirui Zhang
Yew-Soon Ong
Qi Wang
Ke Tang
106
3
0
17 May 2025
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
Valentina Bazyleva
Nicolo Bonettini
Gaurav Bharaj
DiffM
121
0
0
16 May 2025
Decomposing stimulus-specific sensory neural information via diffusion models
Decomposing stimulus-specific sensory neural information via diffusion models
Steeve Laquitaine
Simone Azeglio
Carlo Paris
U. Ferrari
Matthew Chalk
DiffM
72
0
0
16 May 2025
WebXAII: an open-source web framework to study human-XAI interaction
WebXAII: an open-source web framework to study human-XAI interaction
Jules Leguy
Pierre-Antoine Jean
Felipe Torres Figueroa
Sébastien Harispe
21
0
0
16 May 2025
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Zhanxiang Hua
Ryan Sobash
David John Gagne II
Yingkai Sha
Alexandra Anderson-Frey
97
0
0
16 May 2025
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye
Stefan Haufe
Lars Kai Hansen
257
0
0
16 May 2025
An empirical study of task and feature correlations in the reuse of pre-trained models
An empirical study of task and feature correlations in the reuse of pre-trained models
Jama Hussein Mohamud
Willie Brink
26
0
0
15 May 2025
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
Rafael Pablos-Sarabia
Joachim Nyborg
Morten Birk
Jeppe Liborius Sjørup
Anders Lillevang Vesterholt
Ira Assent
BDLAI4Cl
95
0
0
15 May 2025
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
Seongun Kim
Sol A Kim
Geonhyeong Kim
Enver Menadjiev
Chanwoo Lee
Seongwook Chung
Nari Kim
Jaesik Choi
152
0
0
15 May 2025
Beyond the Black Box: Interpretability of LLMs in Finance
Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat
Ariye Shater
AIFin
81
0
0
14 May 2025
Block-Biased Mamba for Long-Range Sequence Processing
Block-Biased Mamba for Long-Range Sequence Processing
Annan Yu
N. Benjamin Erichson
Mamba
109
0
0
13 May 2025
Implet: A Post-hoc Subsequence Explainer for Time Series Models
Implet: A Post-hoc Subsequence Explainer for Time Series Models
Fanyu Meng
Ziwen Kan
Shahbaz Rezaei
Z. Kong
Xin Chen
Xin Liu
AI4TS
188
0
0
13 May 2025
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
Alexander Hinterleitner
Thomas Bartz-Beielstein
103
0
0
12 May 2025
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
Zheng Yao
Shuai Wang
Guido Zuccon
45
0
0
12 May 2025
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Philip Naumann
Jacob R. Kauffmann
G. Montavon
90
0
0
09 May 2025
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification
Leon Eshuijs
Shihan Wang
Antske Fokkens
144
0
0
09 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz
Julia E. Vogt
98
0
0
09 May 2025
Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights
Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights
Paweł Walkowiak
Marek Klonowski
Marcin Oleksy
Arkadiusz Janz
AAML
110
0
0
08 May 2025
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis
Hao Zhen
Jidong J. Yang
67
0
0
08 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
93
0
0
05 May 2025
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis
Xuechao Wang
S. Nõmm
Junqing Huang
Kadri Medijainen
A. Toomela
Michael Ruzhansky
AAMLFAtt
64
0
0
04 May 2025
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
Zhiyu Zhu
Jiayu Zhang
Zhibo Jin
Fang Chen
Jianlong Zhou
FAtt
74
0
0
03 May 2025
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
Alireza Sadeghi
F. Hajati
A. Argha
Nigel H Lovell
Min Yang
Hamid Alinejad-Rokny
131
0
0
03 May 2025
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Mahdi Dhaini
Ege Erdogan
Nils Feldhus
Gjergji Kasneci
105
0
0
02 May 2025
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
Yuyan Ge
Kwan Ho Ryan Chan
Pablo Messina
René Vidal
66
0
0
30 Apr 2025
Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
Kleanthis Avramidis
Woojae Jeong
Aditya Kommineni
Sudarsana Reddy Kadiri
Marcus Ma
...
Idan A. Blank
Kristina Lerman
T. Medani
Richard M. Leahy
Shrikanth Narayanan
80
0
0
29 Apr 2025
GiBy: A Giant-Step Baby-Step Classifier For Anomaly Detection In Industrial Control Systems
GiBy: A Giant-Step Baby-Step Classifier For Anomaly Detection In Industrial Control Systems
Sarad Venugopalan
Sridhar Adepu
53
0
0
29 Apr 2025
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges
Ce Ju
Reinmar J. Kobler
Antoine Collas
M. Kawanabe
Cuntai Guan
Bertrand Thirion
106
0
0
26 Apr 2025
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
Marco Turzi
Siamak Mehrkanoon
AI4TS
167
0
0
25 Apr 2025
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
Yikun Ji
Y. Hong
Jiahui Zhan
H. Chen
Jun Lan
Huijia Zhu
Weiqiang Wang
Lefei Zhang
Jianfu Zhang
MLLMLRM
115
0
0
19 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
157
1
0
18 Apr 2025
Disentangling Polysemantic Channels in Convolutional Neural Networks
Disentangling Polysemantic Channels in Convolutional Neural Networks
Robin Hesse
Jonas Fischer
Simone Schaub-Meyer
Stefan Roth
FAttMILM
115
0
0
17 Apr 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
114
2
0
17 Apr 2025
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li
Shilin Lu
Yan Ren
A. Kong
DiffM
115
4
0
17 Apr 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review
Yuezhe Yang
Boyu Yang
Yaqian Wang
Yang He
Xingbo Dong
Zhe Jin
94
0
0
15 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
Lili Zhao
Qi Liu
Wei-neng Chen
Lu Chen
R.-H. Sun
Min Hou
Yang Wang
Shijin Wang
142
0
0
14 Apr 2025
Domain-Adversarial Neural Network and Explainable AI for Reducing Tissue-of-Origin Signal in Pan-cancer Mortality Classification
Domain-Adversarial Neural Network and Explainable AI for Reducing Tissue-of-Origin Signal in Pan-cancer Mortality Classification
Cristian Padron-Manrique
Juan José Oropeza Valdez
Osbaldo Resendis-Antonio
MedIm
43
0
0
14 Apr 2025
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
Jiuchen Chen
Xinyu Yan
Qizhi Xu
Kaiqi Li
VLM
71
1
0
13 Apr 2025
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
Jiaxing Xu
Kai He
Yue Tang
Wei Li
Mengcheng Lan
Xia Dong
Yiping Ke
Mengling Feng
121
0
0
12 Apr 2025
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7
Hojoon Lee
Takuma Seno
Jun Jet Tai
K. Subramanian
Kenta Kawamoto
Peter Stone
Peter R. Wurman
55
0
0
12 Apr 2025
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
Zhen Tan
Song Wang
Yifan Li
Yu Kong
Jundong Li
Tianlong Chen
Huan Liu
FAtt
84
0
0
11 Apr 2025
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
Mengying Yuan
Wenhao Wang
Zixuan Wang
Yujie Huang
Kangli Wei
Fei Li
Chong Teng
Donghong Ji
119
0
0
11 Apr 2025
Uncovering the Structure of Explanation Quality with Spectral Analysis
Uncovering the Structure of Explanation Quality with Spectral Analysis
Johannes Maeß
G. Montavon
Shinichi Nakajima
Klaus-Robert Müller
Thomas Schnake
FAtt
112
0
0
11 Apr 2025
DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction
DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction
Yuan Xiao
Yuchen Chen
Shiqing Ma
Haocheng Huang
Chunrong Fang
Yuxiao Chen
Weisong Sun
Yunfeng Zhu
Xinming Zhang
Zhenyu Chen
59
0
0
09 Apr 2025
A Meaningful Perturbation Metric for Evaluating Explainability Methods
A Meaningful Perturbation Metric for Evaluating Explainability Methods
Danielle Cohen
Hila Chefer
Lior Wolf
AAML
63
0
0
09 Apr 2025
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