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A Unified Approach to Interpreting Model Predictions
v1v2 (latest)

A Unified Approach to Interpreting Model Predictions

22 May 2017
Scott M. Lundberg
Su-In Lee
    FAtt
ArXiv (abs)PDFHTML

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 3,922 papers shown
Title
XAI in Automated Fact-Checking? The Benefits Are Modest and There's No
  One-Explanation-Fits-All
XAI in Automated Fact-Checking? The Benefits Are Modest and There's No One-Explanation-Fits-All
Gionnieve Lim
S. Perrault
81
1
0
07 Aug 2023
APBench: A Unified Benchmark for Availability Poisoning Attacks and
  Defenses
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses
Tianrui Qin
Xitong Gao
Juanjuan Zhao
Kejiang Ye
Chengjie Xu
AAML
59
6
0
07 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods
Precise Benchmarking of Explainable AI Attribution Methods
Rafael Brandt
Daan Raatjens
G. Gaydadjiev
XAI
67
4
0
06 Aug 2023
Machine learning methods for the search for L&T brown dwarfs in the data
  of modern sky surveys
Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys
A. Avdeeva
18
3
0
06 Aug 2023
Explainable Deep Learning-based Solar Flare Prediction with post hoc
  Attention for Operational Forecasting
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting
Chetraj Pandey
R. Angryk
M. Georgoulis
Berkay Aydin
41
6
0
04 Aug 2023
Universal Approximation of Linear Time-Invariant (LTI) Systems through
  RNNs: Power of Randomness in Reservoir Computing
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
Shashank Jere
Lizhong Zheng
Karim A. Said
Lingjia Liu
56
2
0
04 Aug 2023
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A
  Case Study on Hemorrhagic Stroke
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke
Qizhang Feng
Jiayi Yuan
F. B. Emdad
Karim Hanna
Helen Zhou
Zhe He
36
5
0
04 Aug 2023
Unmasking Parkinson's Disease with Smile: An AI-enabled Screening
  Framework
Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
Tariq Adnan
Md. Saiful Islam
Wasifur Rahman
Sangwu Lee
Sutapa Dey Tithi
Kazi Noshin
Imran Sarker
M. S. Rahman
E. Hoque
CVBM
24
2
0
03 Aug 2023
Assessing Systematic Weaknesses of DNNs using Counterfactuals
Assessing Systematic Weaknesses of DNNs using Counterfactuals
Sujan Sai Gannamaneni
Michael Mock
Maram Akila
AAML
66
4
0
03 Aug 2023
Interpretable Machine Learning for Discovery: Statistical Challenges \&
  Opportunities
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Genevera I. Allen
Luqin Gan
Lili Zheng
89
9
0
02 Aug 2023
Machine Learning Small Molecule Properties in Drug Discovery
Machine Learning Small Molecule Properties in Drug Discovery
Nikolai Schapin
Maciej Majewski
Alejandro Varela-Rial
C. Arroniz
Gianni De Fabritiis
47
12
0
02 Aug 2023
Sea level Projections with Machine Learning using Altimetry and Climate
  Model ensembles
Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles
S. Sinha
J. Fasullo
R. S. Nerem
C. Monteleoni
AI4Cl
14
1
0
02 Aug 2023
LLMs Understand Glass-Box Models, Discover Surprises, and Suggest
  Repairs
LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs
Ben Lengerich
Sebastian Bordt
Harsha Nori
M. Nunnally
Y. Aphinyanaphongs
Manolis Kellis
Rich Caruana
69
10
0
02 Aug 2023
An Exact Kernel Equivalence for Finite Classification Models
An Exact Kernel Equivalence for Finite Classification Models
Brian Bell
Michaela Geyer
David Glickenstein
Amanda Fernandez
Juston Moore
94
3
0
01 Aug 2023
Copula for Instance-wise Feature Selection and Ranking
Copula for Instance-wise Feature Selection and Ranking
Hanyu Peng
Guanhua Fang
P. Li
54
3
0
01 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the
  Amplification of Inequity
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
S. Kim
Stefan Lessmann
G. Andreeva
Michael Rovatsos
FaML
71
5
0
01 Aug 2023
Exploring the Role of Explainability in AI-Assisted Embryo Selection
Exploring the Role of Explainability in AI-Assisted Embryo Selection
Lucia Urcelay
Daniel Hinjos
Pablo A. Martin-Torres
M. González
M. Méndez
Salva Cívico
Sergio Alvarez-Napagao
Dario Garcia-Gasulla
19
2
0
01 Aug 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial
  Attack
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
HaiXiang Zhu
Zhaoqing Yang
Weiwei Shang
Yuren Wu
AAMLFAtt
80
3
0
01 Aug 2023
Attribution-Scores in Data Management and Explainable Machine Learning
Attribution-Scores in Data Management and Explainable Machine Learning
Leopoldo Bertossi
XAIFAttCML
64
1
0
31 Jul 2023
Formally Explaining Neural Networks within Reactive Systems
Formally Explaining Neural Networks within Reactive Systems
Shahaf Bassan
Guy Amir
Davide Corsi
Idan Refaeli
Guy Katz
AAML
111
17
0
31 Jul 2023
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection
  Model
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model
Khushnaseeb Roshan
Aasim Zafar
82
17
0
31 Jul 2023
MetaCAM: Ensemble-Based Class Activation Map
MetaCAM: Ensemble-Based Class Activation Map
Emily Kaczmarek
Olivier X. Miguel
Alexa C. Bowie
R. Ducharme
Alysha L. J. Dingwall-Harvey
S. Hawken
Christine M. Armour
Mark C. Walker
Kevin Dick
MedIm
77
3
0
31 Jul 2023
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
Saizhuo Wang
Hang Yuan
Leon Zhou
L. Ni
H. Shum
Jian Guo
67
25
0
31 Jul 2023
An Efficient Shapley Value Computation for the Naive Bayes Classifier
An Efficient Shapley Value Computation for the Naive Bayes Classifier
V. Lemaire
Fabrice Clérot
Marc Boullé
FAtt
46
1
0
31 Jul 2023
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Mona Ashtari-Majlan
Mohammad Mahdi Dehshibi
David Masip
74
11
0
31 Jul 2023
Predicting delays in Indian lower courts using AutoML and Decision
  Forests
Predicting delays in Indian lower courts using AutoML and Decision Forests
M. Bhatnagar
Shivraj Huchhanavar
83
1
0
30 Jul 2023
Validating polyp and instrument segmentation methods in colonoscopy
  through Medico 2020 and MedAI 2021 Challenges
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
Debesh Jha
Vanshali Sharma
Debapriya Banik
Debayan Bhattacharya
K. Roy
...
Sharib Ali
Michael A. Riegler
Pål Halvorsen
Thomas de Lange
Ulas Bagci
96
1
0
30 Jul 2023
Redundancy-aware unsupervised rankings for collections of gene sets
Redundancy-aware unsupervised rankings for collections of gene sets
Chiara Balestra
C. Maj
Emmanuel Muller
Andreas Mayr
45
0
0
30 Jul 2023
Towards the Visualization of Aggregated Class Activation Maps to Analyse
  the Global Contribution of Class Features
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features
Igor Cherepanov
D. Sessler
Alex Ulmer
Hendrik Lücke-Tieke
Jörn Kohlhammer
FAtt
74
0
0
29 Jul 2023
Explaining Full-disk Deep Learning Model for Solar Flare Prediction
  using Attribution Methods
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
Chetraj Pandey
R. Angryk
Berkay Aydin
FAtt
53
10
0
29 Jul 2023
DeepTSF: Codeless machine learning operations for time series
  forecasting
DeepTSF: Codeless machine learning operations for time series forecasting
Sotiris Pelekis
Evangelos Karakolis
Theodosios Pountridis
Georgios Kormpakis
G. Lampropoulos
S. Mouzakitis
D. Askounis
AI4TSAI4CE
48
11
0
28 Jul 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated
  Driving Systems
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems
Amir Samadi
A. Shirian
K. Koufos
Kurt Debattista
M. Dianati
AAMLFAttLRM
91
8
0
28 Jul 2023
When to generate hedges in peer-tutoring interactions
When to generate hedges in peer-tutoring interactions
Alafate Abulimiti
Chloé Clavel
Justine Cassell
49
4
0
28 Jul 2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model
Toward Transparent Sequence Models with Model-Based Tree Markov Model
Chan Hsu
Wei-Ping Huang
Jun-Ting Wu
Chih-Yuan Li
Yihuang Kang
56
0
0
28 Jul 2023
Confident Feature Ranking
Confident Feature Ranking
Bitya Neuhof
Y. Benjamini
FAtt
82
3
0
28 Jul 2023
Is this model reliable for everyone? Testing for strong calibration
Is this model reliable for everyone? Testing for strong calibration
Jean Feng
Alexej Gossmann
Romain Pirracchio
N. Petrick
Gene Pennello
B. Sahiner
59
5
0
28 Jul 2023
RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded
  in Regulations and Usable by (Non-)Technical Roles
RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles
Marios Constantinides
Edyta Bogucka
Daniele Quercia
Susanna Kallio
Mohammad Tahaei
87
13
0
27 Jul 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability
  and Inherent Interpretability
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
Usha Bhalla
Suraj Srinivas
Himabindu Lakkaraju
FAttCML
81
7
0
27 Jul 2023
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in
  Classification
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification
Sareh Ahmadi
Aditya Shah
Edward A. Fox
24
1
0
27 Jul 2023
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Zhiyu Cao
Zihan Chen
P. Mishra
Hamed Amini
Zachary Feinstein
69
3
0
26 Jul 2023
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and
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ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models
Jiajun Zhang
Georgina Cosma
S. L. Bugby
Jason Watkins
38
1
0
25 Jul 2023
Argument Attribution Explanations in Quantitative Bipolar Argumentation
  Frameworks (Technical Report)
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)
Xiang Yin
Nico Potyka
Francesca Toni
59
7
0
25 Jul 2023
Evaluating the reliability of automatically generated pedestrian and
  bicycle crash surrogates
Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates
Agnimitra Sengupta
S. I. Guler
Vikash V. Gayah
Shannon Warchol
19
1
0
24 Jul 2023
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
Satoru Fujii
58
0
0
24 Jul 2023
Identifying drivers and mitigators for congestion and redispatch in the
  German electric power system with explainable AI
Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
Maurizio Titz
Sebastian Pütz
D. Witthaut
49
16
0
24 Jul 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect
  Spurious Correlations?
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
Susu Sun
Lisa M. Koch
Christian F. Baumgartner
94
16
0
23 Jul 2023
HealthPrism: A Visual Analytics System for Exploring Children's Physical
  and Mental Health Profiles with Multimodal Data
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
Zhihan Jiang
Handi Chen
Rui Zhou
Jing Deng
Xinchen Zhang
Running Zhao
Cong Xie
Yifang Wang
Edith C.H. Ngai
108
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Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
Rumeng Li
Xun Wang
D. Berlowitz
Brian H. Silver
Wen Hu
Heather Keating
Raelene Goodwin
Weisong Liu
Honghuang Lin
Hong Yu
57
1
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Identifying contributors to supply chain outcomes in a multi-echelon
  setting: a decentralised approach
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach
Stefan Schoepf
Jack Foster
Alexandra Brintrup
76
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Morphological Image Analysis and Feature Extraction for Reasoning with
  AI-based Defect Detection and Classification Models
Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models
Jiajun Zhang
Georgina Cosma
S. L. Bugby
Axel Finke
Jason Watkins
21
3
0
21 Jul 2023
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