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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
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Improving Privacy-Preserving Vertical Federated Learning by Efficient
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Constrained Prescriptive Trees via Column Generation
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DataPerf: Benchmarks for Data-Centric AI Development
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Colby R. Banbury
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Bojan Karlavs
W. G. Rojas
...
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Cody Coleman
Andrew Y. Ng
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105
0
20 Jul 2022
Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A
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Alessandro Vinciarelli
Alessio Del Bue
66
10
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20 Jul 2022
Classification of Stress via Ambulatory ECG and GSR Data
Classification of Stress via Ambulatory ECG and GSR Data
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Urja Pawar
S. Dockray
Ruairi O'Reilly
49
0
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19 Jul 2022
Data Science and Machine Learning in Education
Data Science and Machine Learning in Education
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
...
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
AI4CE
79
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0
19 Jul 2022
Machine-learning accelerated identification of exfoliable
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Mohammad Tohidi Vahdat
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Towards Explainability in NLP: Analyzing and Calculating Word Saliency
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Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties
Jialiang Dong
Zhitao Guan
Longfei Wu
Zijian Zhang
Xiaojiang Du
XAIAAMLFAttMILM
95
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Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a
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Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
Eric Yeh
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
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54
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0
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Algorithms to estimate Shapley value feature attributions
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Creating an Explainable Intrusion Detection System Using Self Organizing
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Jesse Ables
Thomas Kirby
William Anderson
Sudip Mittal
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Maria Seale
84
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Explaining Image Enhancement Black-Box Methods through a Path Planning
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Marco Cotogni
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63
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A Query-Optimal Algorithm for Finding Counterfactuals
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Explainable Intrusion Detection Systems (X-IDS): A Survey of Current
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BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial
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Forecasting COVID-19 spreading trough an ensemble of classical and
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The Mean Dimension of Neural Networks -- What causes the interaction
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Radiomics-Guided Global-Local Transformer for Weakly Supervised
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TalkToModel: Explaining Machine Learning Models with Interactive Natural
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Calibrate to Interpret
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Comparing Feature Importance and Rule Extraction for Interpretability on
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100
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Less Is More: Fast Multivariate Time Series Forecasting with Light
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BDLAI4TS
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Evaluating the Explainers: Black-Box Explainable Machine Learning for
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Interpretability, Then What? Editing Machine Learning Models to Reflect
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"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
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S. Sen
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