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"Why Should I Trust You?": Explaining the Predictions of Any Classifier
v1v2v3 (latest)

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
    FAttFaML
ArXiv (abs)PDFHTML

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 3,508 papers shown
Title
ContextCite: Attributing Model Generation to Context
ContextCite: Attributing Model Generation to Context
Benjamin Cohen-Wang
Harshay Shah
Kristian Georgiev
Aleksander Madry
LRM
68
29
0
01 Sep 2024
Deep Knowledge-Infusion For Explainable Depression Detection
Deep Knowledge-Infusion For Explainable Depression Detection
Sumit Dalal
Sarika Jain
M. Dave
52
2
0
01 Sep 2024
Comparative Analysis of Modality Fusion Approaches for Audio-Visual
  Person Identification and Verification
Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verification
Aref Farhadipour
Masoumeh Chapariniya
Teodora Vukovic
Volker Dellwo
58
2
0
31 Aug 2024
Advancing Machine Learning in Industry 4.0: Benchmark Framework for
  Rare-event Prediction in Chemical Processes
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes
Vikram Sudarshan
Warren D. Seider
86
2
0
31 Aug 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical
  Relationships Between Features
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features
Thomas Schnake
Farnoush Rezaei Jafaria
Jonas Lederer
Ping Xiong
Shinichi Nakajima
Stefan Gugler
G. Montavon
Klaus-Robert Müller
69
4
0
30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAIAI4TS
281
34
0
30 Aug 2024
A Survey for Large Language Models in Biomedicine
A Survey for Large Language Models in Biomedicine
Chong Wang
Mengyao Li
Junjun He
Zhongruo Wang
Erfan Darzi
...
Yi Yu
Pietro Liò
Tianyun Wang
Yu Guang Wang
Yiqing Shen
LM&MA
108
13
0
29 Aug 2024
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer
  Metastasis Using Real-World Clinical Data with AUC up to 0.9
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9
Xia Jiang
Yijun Zhou
Alan Wells
A. Brufsky
OODAI4CE
61
0
0
29 Aug 2024
What Machine Learning Tells Us About the Mathematical Structure of
  Concepts
What Machine Learning Tells Us About the Mathematical Structure of Concepts
Jun Otsuka
59
0
0
28 Aug 2024
Subgroup Analysis via Model-based Rule Forest
Subgroup Analysis via Model-based Rule Forest
I-Ling Cheng
Chan Hsu
Chantung Ku
Pei-Ju Lee
Yihuang Kang
23
0
0
27 Aug 2024
GINN-KAN: Interpretability pipelining with applications in Physics
  Informed Neural Networks
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks
Nisal Ranasinghe
Yu Xia
Sachith Seneviratne
Saman K. Halgamuge
70
4
0
27 Aug 2024
Logic interpretations of ANN partition cells
Logic interpretations of ANN partition cells
Ingo Schmitt
22
0
0
26 Aug 2024
PAGE: Parametric Generative Explainer for Graph Neural Network
PAGE: Parametric Generative Explainer for Graph Neural Network
Yang Qiu
Wei Liu
Jun Wang
Ruixuan Li
BDL
76
0
0
26 Aug 2024
A prototype-based model for set classification
A prototype-based model for set classification
Mohammad Mohammadi
Sreejita Ghosh
VLM
169
1
0
25 Aug 2024
Learning from the few: Fine-grained approach to pediatric wrist
  pathology recognition on a limited dataset
Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset
Ammar Ahmed
Ali Shariq Imran
Zenun Kastrati
Sher Muhammad Daudpota
Mohib Ullah
Waheed Noord
73
1
0
24 Aug 2024
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
Sujay Koujalgi
Andrew Anderson
Iyadunni Adenuga
Shikha Soneji
Rupika Dikkala
...
Leo Soccio
Sourav Panda
Rupak Kumar Das
Margaret Burnett
Jonathan Dodge
64
2
0
23 Aug 2024
Interpretable breast cancer classification using CNNs on mammographic
  images
Interpretable breast cancer classification using CNNs on mammographic images
Ann-Kristin Balve
Peter Hendrix
20
2
0
23 Aug 2024
Flexible categorization using formal concept analysis and
  Dempster-Shafer theory
Flexible categorization using formal concept analysis and Dempster-Shafer theory
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
Nachoem Wijnberg
30
0
0
23 Aug 2024
VALE: A Multimodal Visual and Language Explanation Framework for Image
  Classifiers using eXplainable AI and Language Models
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language Models
Purushothaman Natarajan
Athira Nambiar
AAML
38
3
0
23 Aug 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune
  CNNs and Transformers
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
Sayed Mohammad Vakilzadeh Hatefi
Maximilian Dreyer
Reduan Achtibat
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
ViT
61
4
0
22 Aug 2024
Neural Symbolic Logical Rule Learner for Interpretable Learning
Neural Symbolic Logical Rule Learner for Interpretable Learning
Bowen Wei
Ziwei Zhu
AI4CE
48
0
0
21 Aug 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Sepehr Kamahi
Yadollah Yaghoobzadeh
94
0
0
21 Aug 2024
Contextual Importance and Utility in Python: New Functionality and
  Insights with the py-ciu Package
Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package
Kary Främling
21
0
0
19 Aug 2024
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
Qizhou Chen
Taolin Zhang
Chengyu Wang
Xiaofeng He
Dakan Wang
Tingting Liu
KELM
116
4
0
19 Aug 2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based
  on Concept Discovery
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery
Weiji Kong
Xun Gong
Juan Wang
26
1
0
19 Aug 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang
Jing Hou
Florian Walter
Shangding Gu
Jiayi Guan
Florian Röhrbein
Yali Du
Panpan Cai
G. Chen
Alois Knoll
89
15
0
19 Aug 2024
A Transparency Paradox? Investigating the Impact of Explanation
  Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
Daniel Omeiza
Raunak P. Bhattacharyya
Marina Jirotka
Nick Hawes
Lars Kunze
58
0
0
16 Aug 2024
Enhancing Model Interpretability with Local Attribution over Global
  Exploration
Enhancing Model Interpretability with Local Attribution over Global Exploration
Zhiyu Zhu
Zhibo Jin
Jiayu Zhang
Huaming Chen
FAtt
53
4
0
14 Aug 2024
Interpretable Graph Neural Networks for Heterogeneous Tabular Data
Interpretable Graph Neural Networks for Heterogeneous Tabular Data
Amr Alkhatib
Henrik Bostrom
LMTD
72
1
0
14 Aug 2024
KAN You See It? KANs and Sentinel for Effective and Explainable Crop
  Field Segmentation
KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation
Daniele Rege Cambrin
Eleonora Poeta
Eliana Pastor
Tania Cerquitelli
Elena Baralis
Paolo Garza
67
11
0
13 Aug 2024
Measuring User Understanding in Dialogue-based XAI Systems
Measuring User Understanding in Dialogue-based XAI Systems
Dimitry Mindlin
A. Robrecht
Michael Morasch
Philipp Cimiano
54
3
0
13 Aug 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors
Misfitting With AI: How Blind People Verify and Contest AI Errors
Rahaf Alharbi
P. Lor
Jaylin Herskovitz
S. Schoenebeck
Robin Brewer
72
13
0
13 Aug 2024
Fooling SHAP with Output Shuffling Attacks
Fooling SHAP with Output Shuffling Attacks
Jun Yuan
Aritra Dasgupta
67
1
0
12 Aug 2024
Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability
  Pipeline for Spatiotemporal Land Surface Forecasting Models
Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models
Tushar Verma
Sudipan Saha
96
0
0
12 Aug 2024
Quantum Gradient Class Activation Map for Model Interpretability
Quantum Gradient Class Activation Map for Model Interpretability
Hsin-Yi Lin
Huan-Hsin Tseng
Samuel Yen-Chi Chen
Shinjae Yoo
FAtt
67
8
0
12 Aug 2024
PRECISe : Prototype-Reservation for Explainable Classification under
  Imbalanced and Scarce-Data Settings
PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings
Vaibhav Ganatra
Drishti Goel
58
0
0
11 Aug 2024
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels
  for Pan-Cancer Predictive Modelling
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
Piotr Keller
Muhammad Dawood
B. Chohan
F. Minhas
VLM
59
1
0
09 Aug 2024
GLEAMS: Bridging the Gap Between Local and Global Explanations
GLEAMS: Bridging the Gap Between Local and Global Explanations
Giorgio Visani
Vincenzo Stanzione
Damien Garreau
FAtt
29
0
0
09 Aug 2024
Axiomatic Characterisations of Sample-based Explainers
Axiomatic Characterisations of Sample-based Explainers
Leila Amgoud
Martin Cooper
Salim Debbaoui
FAtt
72
1
0
09 Aug 2024
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie
Mutahar Safdar
Lequn Chen
Seung Ki Moon
Y. Zhao
90
1
0
09 Aug 2024
More Questions than Answers? Lessons from Integrating Explainable AI
  into a Cyber-AI Tool
More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool
Ashley Suh
Harry Li
Caitlin Kenney
Kenneth Alperin
Steven R. Gomez
AAML
32
2
0
08 Aug 2024
Improving Network Interpretability via Explanation Consistency
  Evaluation
Improving Network Interpretability via Explanation Consistency Evaluation
Hefeng Wu
Hao Jiang
Keze Wang
Ziyi Tang
Xianghuan He
Liang Lin
FAttAAML
83
0
0
08 Aug 2024
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
Haoran Zheng
Utku Pamuksuz
85
0
0
08 Aug 2024
Design of a Quality Management System based on the EU Artificial
  Intelligence Act
Design of a Quality Management System based on the EU Artificial Intelligence Act
Henryk Mustroph
Stefanie Rinderle-Ma
45
1
0
08 Aug 2024
An Explainable Non-local Network for COVID-19 Diagnosis
An Explainable Non-local Network for COVID-19 Diagnosis
Jingfu Yang
Peng Huang
Jing Hu
Shu Hu
Siwei Lyu
Xin Wang
Jun Guo
Xi Wu
77
2
0
08 Aug 2024
Dilated Convolution with Learnable Spacings makes visual models more
  aligned with humans: a Grad-CAM study
Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study
Rabih Chamas
Ismail Khalfaoui-Hassani
T. Masquelier
40
0
0
06 Aug 2024
Backward explanations via redefinition of predicates
Backward explanations via redefinition of predicates
Léo Saulières
Martin C. Cooper
F. D. D. S. Cyr
47
0
0
05 Aug 2024
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary
  Concepts
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
Andong Tan
Fengtao Zhou
Hao Chen
VLM
74
5
0
05 Aug 2024
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
KAN we improve on HEP classification tasks? Kolmogorov-Arnold Networks applied to an LHC physics example
Johannes Erdmann
F. Mausolf
Jan Lukas Späh
194
4
0
05 Aug 2024
Joint Universal Adversarial Perturbations with Interpretations
Joint Universal Adversarial Perturbations with Interpretations
Liang-bo Ning
Zeyu Dai
Wenqi Fan
Jingran Su
Chao Pan
Luning Wang
Qing Li
AAML
68
2
0
03 Aug 2024
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