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Axiomatic Attribution for Deep Networks

Axiomatic Attribution for Deep Networks

4 March 2017
Mukund Sundararajan
Ankur Taly
Qiqi Yan
    OOD
    FAtt
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Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,814 papers shown
Title
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
0
0
0
17 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
17
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
9
0
0
16 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
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
BDL
AI4Cl
41
0
0
15 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
24
0
0
13 May 2025
Block-Biased Mamba for Long-Range Sequence Processing
Block-Biased Mamba for Long-Range Sequence Processing
Annan Yu
N. Benjamin Erichson
Mamba
43
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
T. Bartz-Beielstein
21
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
21
0
0
12 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
38
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
26
0
0
09 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
29
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
36
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
38
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
32
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
AAML
FAtt
26
0
0
04 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
41
0
0
03 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
24
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
49
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
43
0
0
30 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
32
0
0
29 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
31
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
43
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
57
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
L. Zhang
Jianfu Zhang
MLLM
LRM
51
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
27
0
0
18 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
D. Song
HILM
57
0
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
46
1
0
17 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
FAtt
MILM
60
0
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
38
0
0
15 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
22
0
0
14 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
31
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
32
0
0
13 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
24
0
0
12 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
22
0
0
12 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
45
0
0
11 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
45
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
32
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
Yuhang Chen
Dongrui Liu
Yunfeng Zhu
Xinming Zhang
Zhenyu Chen
31
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
25
0
0
09 Apr 2025
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
Xiaomei Zhang
Zhaoxi Zhang
Yanjun Zhang
Xufei Zheng
L. Zhang
Shengshan Hu
Shirui Pan
AAML
27
0
0
08 Apr 2025
PRIMEDrive-CoT: A Precognitive Chain-of-Thought Framework for Uncertainty-Aware Object Interaction in Driving Scene Scenario
PRIMEDrive-CoT: A Precognitive Chain-of-Thought Framework for Uncertainty-Aware Object Interaction in Driving Scene Scenario
Sriram Mandalika
Lalitha V
Athira Nambiar
41
1
0
08 Apr 2025
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
Montgomery Gole
Andriy Miranskyy
AI4MH
21
0
0
08 Apr 2025
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Maja J. Hjuler
Line H. Clemmensen
Sneha Das
FAtt
44
1
0
07 Apr 2025
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability
Mohammad Hossein Najafi
Mohammad Morsali
Mohammadreza Pashanejad
Saman Soleimani Roudi
Mohammad Norouzi
Saeed Bagheri Shouraki
AAML
23
0
0
07 Apr 2025
Handling Weather Uncertainty in Air Traffic Prediction through an Inverse Approach
Handling Weather Uncertainty in Air Traffic Prediction through an Inverse Approach
G. Lancia
D. Falanga
S. Alam
G. Lulli
19
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0
07 Apr 2025
Opening the black box of deep learning: Validating the statistical association between explainable artificial intelligence (XAI) and clinical domain knowledge in fundus image-based glaucoma diagnosis
Opening the black box of deep learning: Validating the statistical association between explainable artificial intelligence (XAI) and clinical domain knowledge in fundus image-based glaucoma diagnosis
Han Yuan
Lican Kang
Yong Li
33
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0
06 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Xiaokun Liu
Sayedmohammadreza Rastegari
Yijun Huang
Sxe Chang Cheong
Weikang Liu
...
Sina Tabakhi
Xianyuan Liu
Zheqing Zhu
Wei Sang
Haiping Lu
29
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Noiser: Bounded Input Perturbations for Attributing Large Language Models
Noiser: Bounded Input Perturbations for Attributing Large Language Models
Mohammad Reza Ghasemi Madani
Aryo Pradipta Gema
Gabriele Sarti
Yu Zhao
Pasquale Minervini
Andrea Passerini
AAML
35
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Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
Hyunho Lee
Wenwen Li
AI4CE
43
0
0
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