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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 / 3,925 papers shown
Title
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
92
2
0
31 May 2023
Beyond Rankings: Exploring the Impact of SERP Features on Organic
  Click-through Rates
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates
Erik Fubel
Niclas Michael Groll
Patrick Gundlach
Qiwei Han
Maximilian Kaiser
29
5
0
31 May 2023
Explainable AI for Malnutrition Risk Prediction from m-Health and
  Clinical Data
Explainable AI for Malnutrition Risk Prediction from m-Health and Clinical Data
Flavio Di Martino
Franca Delmastro
C. Dolciotti
69
1
0
31 May 2023
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
Alexander Shevtsov
D. Antonakaki
Ioannis Lamprou
Polyvios Pratikakis
Sotiris Ioannidis
172
0
0
31 May 2023
Explaining Hate Speech Classification with Model Agnostic Methods
Explaining Hate Speech Classification with Model Agnostic Methods
D. Nandini
Ute Schmid
85
5
0
30 May 2023
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation
  based on Visual Illusion
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion
Haobo Yang
Wenyu Wang
Zexin Cao
Zhekai Duan
Xuchen Liu
VLM
49
0
0
28 May 2023
NeuroX Library for Neuron Analysis of Deep NLP Models
NeuroX Library for Neuron Analysis of Deep NLP Models
Fahim Dalvi
Hassan Sajjad
Nadir Durrani
71
11
0
26 May 2023
Improving Neural Additive Models with Bayesian Principles
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
BDLMedIm
105
6
0
26 May 2023
Editable Graph Neural Network for Node Classifications
Editable Graph Neural Network for Node Classifications
Zirui Liu
Zhimeng Jiang
Shaochen Zhong
Kaixiong Zhou
Li Li
Rui Chen
Soo-Hyun Choi
Helen Zhou
79
6
0
24 May 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process
  Models
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
Siu Lun Chau
Krikamol Muandet
Dino Sejdinovic
FAtt
100
16
0
24 May 2023
Networks are Slacking Off: Understanding Generalization Problem in Image
  Deraining
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Jinjin Gu
Xianzheng Ma
Xiangtao Kong
Yu Qiao
Chao Dong
108
14
0
24 May 2023
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning
Eloy Anguiano Batanero
Ángela Fernández Pascual
Á. Jiménez
OffRL
31
0
0
23 May 2023
MaNtLE: Model-agnostic Natural Language Explainer
MaNtLE: Model-agnostic Natural Language Explainer
Rakesh R Menon
Kerem Zaman
Shashank Srivastava
FAttLRM
83
2
0
22 May 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks
DEGREE: Decomposition Based Explanation For Graph Neural Networks
Qizhang Feng
Ninghao Liu
Fan Yang
Ruixiang Tang
Mengnan Du
Helen Zhou
99
25
0
22 May 2023
Collaborative Development of NLP models
Collaborative Development of NLP models
Fereshte Khani
Marco Tulio Ribeiro
80
2
0
20 May 2023
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial
  Network Packet Generation
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation
Soumyadeep Hore
Jalal Ghadermazi
Diwas Paudel
Ankit Shah
Tapas K. Das
Nathaniel D. Bastian
AAML
59
15
0
18 May 2023
BELLA: Black box model Explanations by Local Linear Approximations
BELLA: Black box model Explanations by Local Linear Approximations
N. Radulovic
Albert Bifet
Fabian M. Suchanek
FAtt
127
1
0
18 May 2023
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel
  Moisture Content Monitoring in Wildfire Management
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management
John S. Schreck
William Petzke
P. Jiménez
Thomas Brummet
J. Knievel
E. James
B. Kosović
D. Gagne
31
8
0
17 May 2023
Nine tips for ecologists using machine learning
Nine tips for ecologists using machine learning
Marine Desprez
Vincent Miele
O. Gimenez
121
3
0
17 May 2023
Unveiling the Potential of Counterfactuals Explanations in Employability
Unveiling the Potential of Counterfactuals Explanations in Employability
Raphael Mazzine Barbosa de Oliveira
S. Goethals
Dieter Brughmans
David Martens
57
2
0
17 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop
  Fact Verification
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si
Yingjie Zhu
Deyu Zhou
AAML
131
4
0
16 May 2023
Releasing Inequality Phenomenon in $\ell_{\infty}$-norm Adversarial Training via Input Gradient Distillation
Releasing Inequality Phenomenon in ℓ∞\ell_{\infty}ℓ∞​-norm Adversarial Training via Input Gradient Distillation
Junxi Chen
Junhao Dong
Xiaohua Xie
Jianhuang Lai
AAML
65
0
0
16 May 2023
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca
Zhengxuan Wu
Atticus Geiger
Thomas Icard
Christopher Potts
Noah D. Goodman
MILM
87
93
0
15 May 2023
Differentiating Viral and Bacterial Infections: A Machine Learning Model
  Based on Routine Blood Test Values
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values
Gregor Guncar
M. Kukar
Tim Smole
Saso Moskon
T. Vovko
...
M. Brvar
Mateja Notar
Manca Köster
Marjeta Tuvsek Jelenc
Marko Notar
30
4
0
13 May 2023
Asymmetric feature interaction for interpreting model predictions
Asymmetric feature interaction for interpreting model predictions
Xiaolei Lu
Jianghong Ma
Haode Zhang
FAtt
77
4
0
12 May 2023
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent
  Space Analysis with 3D Convolutional Autoencoders
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders
E. D. D. L. Heras
Francisco J. Martínez-Murcia
I. A. Illán
C. Jiménez-Mesa
D. Castillo-Barnes
J. Ramírez
Juan M Gorriz
33
0
0
11 May 2023
Toxicity Inspector: A Framework to Evaluate Ground Truth in Toxicity
  Detection Through Feedback
Toxicity Inspector: A Framework to Evaluate Ground Truth in Toxicity Detection Through Feedback
Huriyyah Althunayan
Rahaf Bahlas
Manar Alharbi
Lena Alsuwailem
Abeer Aldayel
Rehab Alahmadi
54
0
0
11 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a
  Public Event for Science Museum Visitors
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors
Wataru Kawabe
Yuri Nakao
Akihisa Shitara
Yusuke Sugano
73
1
0
10 May 2023
Modelling Concurrency Bugs Using Machine Learning
Modelling Concurrency Bugs Using Machine Learning
Teodor Rares Begu
34
0
0
08 May 2023
XAI in Computational Linguistics: Understanding Political Leanings in
  the Slovenian Parliament
XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament
Bojan Evkoski
Senja Pollak
38
2
0
08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design
  and Health Prognostics: A Tutorial
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
V. Nemani
Luca Biggio
Xun Huan
Zhen Hu
Olga Fink
Anh Tran
Yan Wang
Xiaoge Zhang
Chao Hu
AI4CE
118
81
0
07 May 2023
Neighboring Words Affect Human Interpretation of Saliency Explanations
Neighboring Words Affect Human Interpretation of Saliency Explanations
Tim Dockhorn
Yaoliang Yu
Heike Adel
Mahdi Zolnouri
V. Nia
FAttMILM
83
4
0
04 May 2023
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection
  on Multiple Energy Sources
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy Sources
Taehee Kim
Yuxing Tang
55
1
0
01 May 2023
Interpreting Vision and Language Generative Models with Semantic Visual
  Priors
Interpreting Vision and Language Generative Models with Semantic Visual Priors
Michele Cafagna
L. Rojas-Barahona
Kees van Deemter
Albert Gatt
FAttVLM
59
3
0
28 Apr 2023
PhagoStat a scalable and interpretable end to end framework for
  efficient quantification of cell phagocytosis in neurodegenerative disease
  studies
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
Mehdi Ounissi
Morwena Latouche
Daniel Racoceanu
66
2
0
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Towards clinical AI fairness: A translational perspective
Towards clinical AI fairness: A translational perspective
Mingxuan Liu
Yilin Ning
Salinelat Teixayavong
M. Mertens
Jie Xu
...
Ravi Chandran Narrendar
Fei Wang
Leo Anthony Celi
M. Ong
Nan Liu
FaML
61
0
0
26 Apr 2023
A Comparative Analysis of Multiple Methods for Predicting a Specific
  Type of Crime in the City of Chicago
A Comparative Analysis of Multiple Methods for Predicting a Specific Type of Crime in the City of Chicago
Deborah Djon
Jitesh Jhawar
Kieron Drumm
Vincent Tran
18
1
0
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Sparse Private LASSO Logistic Regression
Sparse Private LASSO Logistic Regression
Amol Khanna
Fred Lu
Edward Raff
Brian Testa
77
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TIGTEC : Token Importance Guided TExt Counterfactuals
TIGTEC : Token Importance Guided TExt Counterfactuals
Milan Bhan
Jean-Noel Vittaut
Nicolas Chesneau
Marie-Jeanne Lesot
94
9
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SketchXAI: A First Look at Explainability for Human Sketches
SketchXAI: A First Look at Explainability for Human Sketches
Zhiyu Qu
Yulia Gryaditskaya
Ke Li
Kaiyue Pang
Tao Xiang
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89
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0
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Reclaimer: A Reinforcement Learning Approach to Dynamic Resource
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Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices
Quintin Fettes
Avinash Karanth
Razvan Bunescu
Brandon Beckwith
S. Subramoney
44
3
0
17 Apr 2023
Explanations of Black-Box Models based on Directional Feature
  Interactions
Explanations of Black-Box Models based on Directional Feature Interactions
A. Masoomi
Davin Hill
Zhonghui Xu
C. Hersh
E. Silverman
P. Castaldi
Stratis Ioannidis
Jennifer Dy
FAtt
90
20
0
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CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision
  Transformer: a clinically-inspired deep learning pipeline
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline
Alessia Gerbasi
A. Dagliati
Giuseppe Albi
M. Chiesa
D. Andreini
A. Baggiano
S. Mushtaq
G. Pontone
Riccardo Bellazzi
G. Colombo
MedIm
43
6
0
14 Apr 2023
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine
  Hesitancy
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy
Raed Alharbi
Sylvia M. Chan-Olmsted
Huan-huan Chen
My T. Thai
34
2
0
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Towards hypergraph cognitive networks as feature-rich models of
  knowledge
Towards hypergraph cognitive networks as feature-rich models of knowledge
Salvatore Citraro
S. Deyne
Massimo Stella
Giulio Rossetti
42
2
0
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ODAM: Gradient-based instance-specific visual explanations for object
  detection
ODAM: Gradient-based instance-specific visual explanations for object detection
Chenyang Zhao
Antoni B. Chan
FAtt
58
10
0
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Label-Free Concept Bottleneck Models
Label-Free Concept Bottleneck Models
Tuomas P. Oikarinen
Subhro Das
Lam M. Nguyen
Tsui-Wei Weng
94
180
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Pretrained Embeddings for E-commerce Machine Learning: When it Fails and
  Why?
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
Da Xu
Bo Yang
76
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A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor
  Algorithms"
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
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Yue Liu
TDI
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Runtime Variation in Big Data Analytics
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Yiwen Zhu
Rathijit Sen
Robert Horton
John Mark Agosta
Agosta
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5
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