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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 / 3,926 papers shown
Title
Modeling Reliance on XAI Indicating Its Purpose and Attention
Modeling Reliance on XAI Indicating Its Purpose and Attention
A. Maehigashi
Yosuke Fukuchi
Seiji Yamada
45
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0
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A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
99
26
0
14 Feb 2023
Predicting the long-term collective behaviour of fish pairs with deep
  learning
Predicting the long-term collective behaviour of fish pairs with deep learning
Vaios Papaspyros
Ramón Escobedo
Alexandre Alahi
Guy Theraulaz
C. Sire
Francesco Mondada
FedML
6
4
0
14 Feb 2023
Explaining text classifiers through progressive neighborhood
  approximation with realistic samples
Explaining text classifiers through progressive neighborhood approximation with realistic samples
Yi Cai
Arthur Zimek
Eirini Ntoutsi
Gerhard Wunder
AI4TS
74
0
0
11 Feb 2023
Predicting Development of Chronic Obstructive Pulmonary Disease and its
  Risk Factor Analysis
Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis
S. Lee
Ingu Sean Lee
Samuel Kim
OODAI4CE
15
3
0
06 Feb 2023
Variational Information Pursuit for Interpretable Predictions
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay
Kwan Ho Ryan Chan
B. Haeffele
D. Geman
René Vidal
DRL
108
14
0
06 Feb 2023
Stop overkilling simple tasks with black-box models and use transparent models instead
Matteo Rizzo
Matteo Marcuzzo
A. Zangari
A. Gasparetto
A. Albarelli
VLM
72
1
0
06 Feb 2023
Personalized Interpretable Classification
Personalized Interpretable Classification
Zengyou He
Yifan Tang
Yifan Tang
Lianyu Hu
Yan Liu
Yan Liu
90
0
0
06 Feb 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of
  Explanations
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
Max Schemmer
Niklas Kühl
Carina Benz
Andrea Bartos
G. Satzger
80
109
0
04 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks
  against Interpretable Models
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
Abdullah Çaglar Öksüz
Anisa Halimi
Erman Ayday
ELMAAML
76
3
0
04 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi
Qi Zhang
LongBing Cao
Shoujin Wang
Guodong Long
Liang Hu
Hui He
ZhenDong Niu
Wei Fan
Hui Xiong
AI4TS
194
25
0
04 Feb 2023
Improving Interpretability via Explicit Word Interaction Graph Layer
Improving Interpretability via Explicit Word Interaction Graph Layer
Arshdeep Sekhon
Hanjie Chen
A. Shrivastava
Zhe Wang
Yangfeng Ji
Yanjun Qi
AI4CEMILM
70
6
0
03 Feb 2023
VR-LENS: Super Learning-based Cybersickness Detection and Explainable
  AI-Guided Deployment in Virtual Reality
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality
Ripan Kumar Kundu
Osama Yahia Elsaid
Prasad Calyam
K. A. Hoque
82
12
0
03 Feb 2023
Identifying regions of importance in wall-bounded turbulence through
  explainable deep learning
Identifying regions of importance in wall-bounded turbulence through explainable deep learning
Andres Cremades
S. Hoyas
R. Deshpande
Pedro Quintero
Martin Lellep
...
J. Monty
Nicholas Hutchins
M. Linkmann
I. Marusic
Ricardo Vinuesa
FAtt
66
34
0
02 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson
Amir Dezfouli
Robert Kohn
117
6
0
02 Feb 2023
Approximating the Shapley Value without Marginal Contributions
Approximating the Shapley Value without Marginal Contributions
Patrick Kolpaczki
Viktor Bengs
Maximilian Muschalik
Eyke Hüllermeier
FAttTDI
176
26
0
01 Feb 2023
Low Complexity Approaches for End-to-End Latency Prediction
Low Complexity Approaches for End-to-End Latency Prediction
Pierre Larrenie
J. Bercher
O. Venard
Iyad Lahsen Cherif
64
4
0
31 Jan 2023
Towards the Linear Algebra Based Taxonomy of XAI Explanations
Towards the Linear Algebra Based Taxonomy of XAI Explanations
S. Nõmm
XAI
39
0
0
30 Jan 2023
Detecting Pump&Dump Stock Market Manipulation from Online Forums
Detecting Pump&Dump Stock Market Manipulation from Online Forums
D. Nam
D. Skillicorn
AIFin
36
1
0
26 Jan 2023
Minerva: A File-Based Ransomware Detector
Minerva: A File-Based Ransomware Detector
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Lorenzo De Carli
L. Mancini
AAML
89
9
0
26 Jan 2023
Explaining Large Language Model-Based Neural Semantic Parsers (Student
  Abstract)
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
Daking Rai
Yilun Zhou
Bailin Wang
Ziyu Yao George Mason University
85
5
0
25 Jan 2023
Explainable AI does not provide the explanations end-users are asking
  for
Explainable AI does not provide the explanations end-users are asking for
Savio Rozario
G. Cevora
XAI
63
1
0
25 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges
Explainable Deep Reinforcement Learning: State of the Art and Challenges
G. Vouros
XAI
137
86
0
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Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
R. Heese
Thore Gerlach
Sascha Mucke
Sabine Muller
Matthias Jakobs
Nico Piatkowski
82
19
0
22 Jan 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization
ExClaim: Explainable Neural Claim Verification Using Rationalization
Sai Gurrapu
Lifu Huang
Feras A. Batarseh
AAML
94
9
0
21 Jan 2023
Sanity checks and improvements for patch visualisation in
  prototype-based image classification
Sanity checks and improvements for patch visualisation in prototype-based image classification
Romain Xu-Darme
Georges Quénot
Zakaria Chihani
M. Rousset
111
3
0
20 Jan 2023
Promises and pitfalls of deep neural networks in neuroimaging-based
  psychiatric research
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
86
44
0
20 Jan 2023
Shapley Values with Uncertain Value Functions
Shapley Values with Uncertain Value Functions
R. Heese
Sascha Mucke
Matthias Jakobs
Thore Gerlach
Nico Piatkowski
TDI
56
5
0
19 Jan 2023
Towards Rigorous Understanding of Neural Networks via
  Semantics-preserving Transformations
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
75
6
0
19 Jan 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to
  Contrast Classifiers' Decisions
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions
Julia El Zini
Mohamad Mansour
M. Awad
63
1
0
19 Jan 2023
Remote patient monitoring using artificial intelligence: Current state,
  applications, and challenges
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
T. Shaik
Xiaohui Tao
Niall Higgins
Lin Li
R. Gururajan
Xujuan Zhou
U. Acharya
81
211
0
19 Jan 2023
Exemplars and Counterexemplars Explanations for Image Classifiers,
  Targeting Skin Lesion Labeling
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling
C. Metta
Riccardo Guidotti
Yuan Yin
Patrick Gallinari
S. Rinzivillo
MedIm
59
11
0
18 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
153
114
0
18 Jan 2023
Simplistic Collection and Labeling Practices Limit the Utility of
  Benchmark Datasets for Twitter Bot Detection
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
Chris Hays
Zachary Schutzman
Manish Raghavan
Erin Walk
Philipp Zimmer
109
34
0
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From Risk Prediction to Risk Factors Interpretation. Comparison of
  Neural Networks and Classical Statistics for Dementia Prediction
From Risk Prediction to Risk Factors Interpretation. Comparison of Neural Networks and Classical Statistics for Dementia Prediction
C. Huber
33
0
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Negative Flux Aggregation to Estimate Feature Attributions
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Chengyin Li
Yao Qiang
D. Zhu
FAtt
77
6
0
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Explainable Data Poison Attacks on Human Emotion Evaluation Systems
  based on EEG Signals
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Zhibo Zhang
Sani Umar
Ahmed Y. Al Hammadi
Sangyoung Yoon
Ernesto Damiani
C. Ardagna
Nicola Bena
C. Yeun
AAML
84
11
0
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MAFUS: a Framework to predict mortality risk in MAFLD subjects
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Paolo Sorino
Tommaso Colafiglio
C. Bonfiglio
Fedelucio Narducci
Tommaso Di Noia
E. Sciascio
15
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Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN
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Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
Y. Song
S. K. Shyn
Kwang-su Kim
VLM
63
5
0
16 Jan 2023
Predicting Socio-Economic Well-being Using Mobile Apps Data: A Case
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Predicting Socio-Economic Well-being Using Mobile Apps Data: A Case Study of France
Rahul Goel
Angelo Furno
Rajesh Sharma
46
1
0
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Against Algorithmic Exploitation of Human Vulnerabilities
Against Algorithmic Exploitation of Human Vulnerabilities
Inga Strümke
Marija Slavkovik
Clemens Stachl
41
0
0
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The Berkelmans-Pries Feature Importance Method: A Generic Measure of
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Joris Pries
Guus Berkelmans
Sandjai Bhulai
R. V. D. Mei
FAtt
54
0
0
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A prediction and behavioural analysis of machine learning methods for
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A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
José Ángel Martín-Baos
Julio Alberto López-Gómez
Luis Rodriguez-Benitez
T. Hillel
Ricardo García-Ródenas
45
16
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Manifold Restricted Interventional Shapley Values
Manifold Restricted Interventional Shapley Values
Muhammad Faaiz Taufiq
Patrick Blobaum
Lenon Minorics
FAtt
159
8
0
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Differentiable modeling to unify machine learning and physical models
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Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen
A. Appling
Pierre Gentine
Toshiyuki Bandai
H. Gupta
...
Chris Rackauckas
Tirthankar Roy
Chonggang Xu
Binayak Mohanty
K. Lawson
AI4CE
110
15
0
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Reservoir Prediction by Machine Learning Methods on The Well Data and
  Seismic Attributes for Complex Coastal Conditions
Reservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions
D. Ivlev
52
4
0
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XDQN: Inherently Interpretable DQN through Mimicking
XDQN: Inherently Interpretable DQN through Mimicking
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G. Vouros
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Learning Support and Trivial Prototypes for Interpretable Image
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Learning Support and Trivial Prototypes for Interpretable Image Classification
Chong Wang
Yuyuan Liu
Yuanhong Chen
Fengbei Liu
Yu Tian
Davis J. McCarthy
Helen Frazer
G. Carneiro
130
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Isotonic Recalibration under a Low Signal-to-Noise Ratio
Isotonic Recalibration under a Low Signal-to-Noise Ratio
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Johanna Fasciati-Ziegel
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Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
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Vo Nguyen Le Duy
I. Takeuchi
FAttAAML
66
16
0
06 Jan 2023
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