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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 / 3,940 papers shown
Title
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
AI4TSFAtt
78
6
0
14 Mar 2022
TrafPS: A Visual Analysis System Interpreting Traffic Prediction in
  Shapley
TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley
Yifan Jiang
Zezheng Feng
Hongjun Wang
Z. Fan
Xuan Song
FAtt
18
0
0
11 Mar 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
67
6
0
11 Mar 2022
Neural Forecasting of the Italian Sovereign Bond Market with Economic
  News
Neural Forecasting of the Italian Sovereign Bond Market with Economic News
Sergio Consoli
L. Pezzoli
Elisa Tosetti
54
4
0
11 Mar 2022
Explainable Machine Learning for Predicting Homicide Clearance in the
  United States
Explainable Machine Learning for Predicting Homicide Clearance in the United States
G. Campedelli
45
17
0
09 Mar 2022
DeepSE-WF: Unified Security Estimation for Website Fingerprinting
  Defenses
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses
Alexander Veicht
Cédric Renggli
Diogo Barradas
AAML
79
8
0
08 Mar 2022
Model Positionality and Computational Reflexivity: Promoting Reflexivity
  in Data Science
Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science
S. Cambo
Darren Gergle
72
37
0
08 Mar 2022
Robustness and Usefulness in AI Explanation Methods
Robustness and Usefulness in AI Explanation Methods
Erick Galinkin
FAtt
51
1
0
07 Mar 2022
Machine learning using longitudinal prescription and medical claims for
  the detection of nonalcoholic steatohepatitis (NASH)
Machine learning using longitudinal prescription and medical claims for the detection of nonalcoholic steatohepatitis (NASH)
Ozge Yasar
Patrick Long
Brett Harder
Hanna Marshall
S. Bhasin
...
M. DeLegge
S. Roy
O. Doyle
Nadea Leavitt
J. Rigg
21
10
0
07 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information
  Security
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
54
6
0
06 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors
Concept-based Explanations for Out-Of-Distribution Detectors
Jihye Choi
Jayaram Raghuram
Ryan Feng
Jiefeng Chen
S. Jha
Atul Prakash
OODD
40
12
0
04 Mar 2022
Do Explanations Explain? Model Knows Best
Do Explanations Explain? Model Knows Best
Ashkan Khakzar
Pedram J. Khorsandi
Rozhin Nobahari
Nassir Navab
XAIAAMLFAtt
38
24
0
04 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers
Adversarial Patterns: Building Robust Android Malware Classifiers
Dipkamal Bhusal
Nidhi Rastogi
AAML
109
1
0
04 Mar 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled
  Local Explanations
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu
Paul Pu Liang
Zihao Deng
Ruslan Salakhutdinov
Louis-Philippe Morency
89
36
0
03 Mar 2022
Label-Free Explainability for Unsupervised Models
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé
M. Schaar
FAttMILM
67
22
0
03 Mar 2022
Faking feature importance: A cautionary tale on the use of
  differentially-private synthetic data
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles
Kasra Hosseini
Grigorios Mingas
Oliver Strickson
Louise A. Bowler
...
A. Heppenstall
N. Lomax
N. Malleson
Martin O'Reilly
Sebastian Vollmerteke
98
8
0
02 Mar 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for
  Convolutional Neural Networks
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks
Mohammad Mahdi Dehshibi
Mona Ashtari-Majlan
Gereziher W. Adhane
David Masip
AAMLFAtt
52
3
0
02 Mar 2022
Faith-Shap: The Faithful Shapley Interaction Index
Faith-Shap: The Faithful Shapley Interaction Index
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
TDI
117
55
0
02 Mar 2022
System Cards for AI-Based Decision-Making for Public Policy
System Cards for AI-Based Decision-Making for Public Policy
Furkan Gursoy
I. Kakadiaris
MLAU
78
16
0
01 Mar 2022
Approximating a deep reinforcement learning docking agent using linear
  model trees
Approximating a deep reinforcement learning docking agent using linear model trees
Vilde B. Gjærum
Ella-Lovise H. Rørvik
A. Lekkas
48
6
0
01 Mar 2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear
  Model Trees with User Adapted Visualization
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization
Vilde B. Gjærum
Inga Strümke
O. Alsos
A. Lekkas
FAtt
73
16
0
01 Mar 2022
Explainable deepfake and spoofing detection: an attack analysis using
  SHapley Additive exPlanations
Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations
W. Ge
Massimiliano Todisco
Nicholas W. D. Evans
AAML
54
9
0
28 Feb 2022
Self-Supervised and Interpretable Anomaly Detection using Network
  Transformers
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Daniel L. Marino
Chathurika S. Wickramasinghe
C. Rieger
Milos Manic
69
8
0
25 Feb 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
65
0
0
25 Feb 2022
MUC-driven Feature Importance Measurement and Adversarial Analysis for
  Random Forest
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest
Shucen Ma
Jianqi Shi
Yanhong Huang
Shengchao Qin
Zhe Hou
AAML
59
4
0
25 Feb 2022
Fine-grained TLS services classification with reject option
Fine-grained TLS services classification with reject option
Jan Luxemburk
T. Čejka
65
34
0
24 Feb 2022
First is Better Than Last for Language Data Influence
First is Better Than Last for Language Data Influence
Chih-Kuan Yeh
Ankur Taly
Mukund Sundararajan
Frederick Liu
Pradeep Ravikumar
TDI
146
22
0
24 Feb 2022
Training Characteristic Functions with Reinforcement Learning:
  XAI-methods play Connect Four
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
S. Wäldchen
Felix Huber
Sebastian Pokutta
FAtt
63
8
0
23 Feb 2022
The Need for Interpretable Features: Motivation and Taxonomy
The Need for Interpretable Features: Motivation and Taxonomy
Alexandra Zytek
Ignacio Arnaldo
Dongyu Liu
Laure Berti-Equille
K. Veeramachaneni
FAttXAI
84
14
0
23 Feb 2022
Evaluating Feature Attribution Methods in the Image Domain
Evaluating Feature Attribution Methods in the Image Domain
Arne Gevaert
Axel-Jan Rousseau
Thijs Becker
D. Valkenborg
T. D. Bie
Yvan Saeys
FAtt
72
23
0
22 Feb 2022
Explainability in Machine Learning: a Pedagogical Perspective
Explainability in Machine Learning: a Pedagogical Perspective
Andreas Bueff
I. Papantonis
Auste Simkute
Vaishak Belle
40
2
0
21 Feb 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal
XAI in the context of Predictive Process Monitoring: Too much to Reveal
Ghada Elkhawaga
Mervat Abuelkheir
M. Reichert
50
1
0
16 Feb 2022
Explainability of Predictive Process Monitoring Results: Can You See My
  Data Issues?
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?
Ghada Elkhawaga
Mervat Abuelkheir
M. Reichert
84
14
0
16 Feb 2022
Explainable Predictive Process Monitoring: A User Evaluation
Explainable Predictive Process Monitoring: A User Evaluation
Williams Rizzi
M. Comuzzi
Chiara Di Francescomarino
Chiara Ghidini
Suhwan Lee
F. Maggi
Alexander Nolte
FaMLXAI
82
9
0
15 Feb 2022
On Deciding Feature Membership in Explanations of SDD & Related
  Classifiers
On Deciding Feature Membership in Explanations of SDD & Related Classifiers
Xuanxiang Huang
Sasha Rubin
FAttLRM
58
3
0
15 Feb 2022
XAI for Transformers: Better Explanations through Conservative
  Propagation
XAI for Transformers: Better Explanations through Conservative Propagation
Ameen Ali
Thomas Schnake
Oliver Eberle
G. Montavon
Klaus-Robert Muller
Lior Wolf
FAtt
93
96
0
15 Feb 2022
AnoMili: Spoofing Prevention and Explainable Anomaly Detection for the
  1553 Military Avionic Bus
AnoMili: Spoofing Prevention and Explainable Anomaly Detection for the 1553 Military Avionic Bus
Efrat Levy
Nadav Maman
A. Shabtai
Yuval Elovici
45
15
0
14 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural
  Network Explanations and Beyond
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström
Leander Weber
Dilyara Bareeva
Daniel G. Krakowczyk
Franz Motzkus
Wojciech Samek
Sebastian Lapuschkin
Marina M.-C. Höhne
XAIELM
93
179
0
14 Feb 2022
DermX: an end-to-end framework for explainable automated dermatological
  diagnosis
DermX: an end-to-end framework for explainable automated dermatological diagnosis
Raluca Jalaboi
F. Faye
Mauricio Orbes-Arteaga
D. Jørgensen
Ole Winther
A. Galimzianova
MedIm
47
19
0
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Double-Barreled Question Detection at Momentive
Double-Barreled Question Detection at Momentive
Peng Jiang
K. S. Muppalla
Qingyue Wei
C. N. Gopal
Chun Wang
18
0
0
12 Feb 2022
The Shapley Value in Machine Learning
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Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDIFAtt
119
216
0
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A Lightweight, Efficient and Explainable-by-Design Convolutional Neural
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Fuxing Chen
Dario Rossi
166
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Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
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Limin Yang
Zhi Chen
Jacopo Cortellazzi
Feargus Pendlebury
Kevin Tu
Fabio Pierazzi
Lorenzo Cavallaro
Gang Wang
AAML
111
38
0
11 Feb 2022
Investigating Explainability of Generative AI for Code through
  Scenario-based Design
Investigating Explainability of Generative AI for Code through Scenario-based Design
Jiao Sun
Q. V. Liao
Michael J. Muller
Mayank Agarwal
Stephanie Houde
Kartik Talamadupula
Justin D. Weisz
86
165
0
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Explainable Machine Learning for Breakdown Prediction in High Gradient
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Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities
Christoph Obermair
T. Cartier-Michaud
A. Apollonio
W. Millar
L. Felsberger
...
W. Wuensch
N. C. Lasheras
M. Boronat
Franz Pernkopf
G. Burt
83
10
0
10 Feb 2022
The leap to ordinal: detailed functional prognosis after traumatic brain
  injury with a flexible modelling approach
The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach
Shubhayu Bhattacharyay
Ioan Milosevic
L. Wilson
D. Menon
R. Stevens
E. Steyerberg
D. Nelson
A. Ercole
the CENTER-TBI investigators/participants
40
15
0
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Explainable Predictive Modeling for Limited Spectral Data
Explainable Predictive Modeling for Limited Spectral Data
Frantishek Akulich
Hadis Anahideh
Manaf Sheyyab
Dhananjay Ambre
29
23
0
09 Feb 2022
Machine Explanations and Human Understanding
Machine Explanations and Human Understanding
Chacha Chen
Shi Feng
Amit Sharma
Chenhao Tan
107
26
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08 Feb 2022
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution
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Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods
Dominique Mercier
Jwalin Bhatt
Andreas Dengel
Sheraz Ahmed
AI4TS
92
11
0
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Local Explanations for Reinforcement Learning
Local Explanations for Reinforcement Learning
Ronny Luss
Amit Dhurandhar
Miao Liu
FAttOffRL
81
3
0
08 Feb 2022
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