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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 / 3,936 papers shown
Title
An Algorithm for Routing Vectors in Sequences
An Algorithm for Routing Vectors in Sequences
Franz A. Heinsen
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An interpretable imbalanced semi-supervised deep learning framework for
  improving differential diagnosis of skin diseases
An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases
Futian Weng
Yuanting Ma
J. Sun
Shijun Shan
Qiyuan Li
Jianping Zhu
Yang Wang
Yan Xu
108
0
0
20 Nov 2022
Data-Adaptive Discriminative Feature Localization with Statistically
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Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
Ben Dai
Xiaotong Shen
Lingzhi Chen
Chunlin Li
Wei Pan
FAtt
63
2
0
18 Nov 2022
Deep learning methods for drug response prediction in cancer:
  predominant and emerging trends
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A. Partin
Thomas Brettin
Yitan Zhu
Oleksandr Narykov
Austin R. Clyde
Jamie Overbeek
Department of Materials Science
73
60
0
18 Nov 2022
Machine Learning-Assisted Recurrence Prediction for Early-Stage
  Non-Small-Cell Lung Cancer Patients
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients
Adrianna Janik
M. Torrente
Luca Costabello
V. Calvo
B. Walsh
...
E. D. Barco
J. Bosch-Barrera
E. Menasalvas
Mohan Timilsina
M. Provencio
26
6
0
17 Nov 2022
Learning to Counterfactually Explain Recommendations
Learning to Counterfactually Explain Recommendations
Yuanshun Yao
Chong Wang
Hang Li
CMLOffRL
46
2
0
17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
72
38
0
17 Nov 2022
Privacy against Real-Time Speech Emotion Detection via Acoustic
  Adversarial Evasion of Machine Learning
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning
Brian Testa
Yi Xiao
Harshit Sharma
Avery Gump
Asif Salekin
AAML
85
9
0
17 Nov 2022
Comparing Explanation Methods for Traditional Machine Learning Models
  Part 1: An Overview of Current Methods and Quantifying Their Disagreement
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
Montgomery Flora
Corey K. Potvin
A. McGovern
Shawn Handler
FAtt
102
18
0
16 Nov 2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep
  Learning Model
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model
Dániel Unyi
Bálint Gyires-Tóth
MedIm
42
1
0
16 Nov 2022
Improving Interpretability via Regularization of Neural Activation
  Sensitivity
Improving Interpretability via Regularization of Neural Activation Sensitivity
Ofir Moshe
Gil Fidel
Ron Bitton
A. Shabtai
AAMLAI4CE
50
4
0
16 Nov 2022
Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter
Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter
Yi Xiao
Harshit Sharma
V. Tumanova
Asif Salekin
135
0
0
16 Nov 2022
Model free variable importance for high dimensional data
Model free variable importance for high dimensional data
Naofumi Hama
Masayoshi Mase
Art B. Owen
85
1
0
15 Nov 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency
  Methods
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods
Josip Jukić
Martin Tutek
Jan Snajder
FAtt
74
0
0
15 Nov 2022
Extending the Neural Additive Model for Survival Analysis with EHR Data
Extending the Neural Additive Model for Survival Analysis with EHR Data
M. Peroni
Marharyta Kurban
Sun-Young Yang
Young Sun Kim
H. Kang
J. Song
136
6
0
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Aligning Learners' Expectations and Performance by Learning Analytics
  Systemwith a Predictive Model
Aligning Learners' Expectations and Performance by Learning Analytics Systemwith a Predictive Model
Saša Brdnik
Boštjan Šumak
V. Podgorelec
20
2
0
14 Nov 2022
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for
  Prosocial Path
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
S. Latif
Hafiz Shehbaz Ali
Muhammad Usama
R. Rana
Björn Schuller
Junaid Qadir
82
15
0
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A Rigorous Study Of The Deep Taylor Decomposition
A Rigorous Study Of The Deep Taylor Decomposition
Leon Sixt
Tim Landgraf
FAttAAML
48
4
0
14 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Ellen Tan
Zhengling Qi
C. Seymour
Lu Tang
OffRL
67
8
0
12 Nov 2022
Heterogeneous Randomized Response for Differential Privacy in Graph
  Neural Networks
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks
Khang Tran
Phung Lai
Nhathai Phan
Issa M. Khalil
Yao Ma
Abdallah Khreishah
My T. Thai
Xintao Wu
AAML
57
3
0
10 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of
  Explanations
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAIFAtt
123
19
0
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Reconstruction and analysis of negatively buoyant jets with
  interpretable machine learning
Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
M. Alvir
L. Grbčić
Ante Sikirica
L. Kranjčević
25
3
0
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On the Privacy Risks of Algorithmic Recourse
On the Privacy Risks of Algorithmic Recourse
Martin Pawelczyk
Himabindu Lakkaraju
Seth Neel
86
31
0
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Combating Health Misinformation in Social Media: Characterization,
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Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
Canyu Chen
Haoran Wang
Matthew A. Shapiro
Yunyu Xiao
Fei Wang
Kai Shu
82
12
0
10 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
104
13
0
09 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAIFAttAAML
82
4
0
09 Nov 2022
Deep Explainable Learning with Graph Based Data Assessing and Rule
  Reasoning
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Yuanlong Li
Gaopan Huang
Min Zhou
Chuan Fu
Honglin Qiao
Yan He
73
1
0
09 Nov 2022
Motif-guided Time Series Counterfactual Explanations
Motif-guided Time Series Counterfactual Explanations
Peiyu Li
S. F. Boubrahimi
S. M. Hamdi
AI4TS
50
14
0
08 Nov 2022
Individualized and Global Feature Attributions for Gradient Boosted
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Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of ℓ2\ell_2ℓ2​ Regularization
Qingyao Sun
65
2
0
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NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
96
1
0
08 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
62
14
0
08 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Jiaheng Xie
Xiaohang Zhao
Xiang Liu
Xiao Fang
OOD
163
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0
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ViT-CX: Causal Explanation of Vision Transformers
ViT-CX: Causal Explanation of Vision Transformers
Weiyan Xie
Xiao-hui Li
Caleb Chen Cao
Nevin L.Zhang
ViT
111
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New Definitions and Evaluations for Saliency Methods: Staying Intrinsic,
  Complete and Sound
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Arushi Gupta
Nikunj Saunshi
Dingli Yu
Kaifeng Lyu
Sanjeev Arora
AAMLFAttXAI
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Extending Logic Explained Networks to Text Classification
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Pietro Barbiero
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Pietro Lio
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A $k$-additive Choquet integral-based approach to approximate the SHAP
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A kkk-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
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FAttTDI
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PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
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Muhao Chen
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LRMReLM
117
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INGREX: An Interactive Explanation Framework for Graph Neural Networks
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Van-Duc Le
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S. Cha
132
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eXplainable AI for Quantum Machine Learning
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A Data-driven Case-based Reasoning in Bankruptcy Prediction
A Data-driven Case-based Reasoning in Bankruptcy Prediction
Wei Li
Wolfgang Karl Härdle
Stefan Lessmann
30
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Interpretable estimation of the risk of heart failure hospitalization
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Wan-Ting Hsieh
D. Burba
Trista Pei-chun Chen
Chun-Li Wang
V. C. Wu
Shang-Hung Chang
FAtt
106
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Forecasting Patient Flows with Pandemic Induced Concept Drift using
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OOD
404
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0
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ClassActionPrediction: A Challenging Benchmark for Legal Judgment
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Gil Semo
Dor Bernsohn
Ben Hagag
Gila Hayat
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AILawELM
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A robust estimator of mutual information for deep learning
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Davide Piras
H. Peiris
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Ningyuan Guo
Brian D. Nord
SSLDRL
93
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Trade-off Between Efficiency and Consistency for Removal-based
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Haowei He
Zhiyuan Tan
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0
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Scoring Black-Box Models for Adversarial Robustness
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Jian Vora
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70
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BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for
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BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models
Atsushi Kikuchi
Kotaro Uchida
Masaki Waga
Kohei Suenaga
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Computing Rule-Based Explanations by Leveraging Counterfactuals
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Maximilian Schleich
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Explainable Predictive Decision Mining for Operational Support
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Estimating oil recovery factor using machine learning: Applications of
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B. Ghanbarian
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