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L-Shapley and C-Shapley: Efficient Model Interpretation for Structured
  Data

L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data

8 August 2018
Jianbo Chen
Le Song
Martin J. Wainwright
Michael I. Jordan
    FAtt
    TDI
ArXivPDFHTML

Papers citing "L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data"

15 / 115 papers shown
Title
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack
Sophie Hilgard
Sameer Singh
Himabindu Lakkaraju
FAtt
29
162
0
11 Aug 2020
Efficient computation and analysis of distributional Shapley values
Efficient computation and analysis of distributional Shapley values
Yongchan Kwon
Manuel A. Rivas
James Zou
FAtt
TDI
24
61
0
02 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity
  from DNNs
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
19
18
0
29 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt
Adrian Weller
J. M. F. Moura
XAI
38
218
0
01 May 2020
Generating Hierarchical Explanations on Text Classification via Feature
  Interaction Detection
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
38
92
0
04 Apr 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAtt
TDI
25
108
0
23 Feb 2020
Rethinking Cooperative Rationalization: Introspective Extraction and
  Complement Control
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
Mo Yu
Shiyu Chang
Yang Zhang
Tommi Jaakkola
21
140
0
29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization
A Game Theoretic Approach to Class-wise Selective Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
22
60
0
28 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan O. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Michael I. Jordan
AAML
22
101
0
08 Jun 2019
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework
  for Model-Agnostic Interpretations
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations
Christian A. Scholbeck
Christoph Molnar
C. Heumann
B. Bischl
Giuseppe Casalicchio
14
27
0
08 Apr 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani
James Zou
TDI
FedML
42
756
0
05 Apr 2019
Explaining individual predictions when features are dependent: More
  accurate approximations to Shapley values
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K. Aas
Martin Jullum
Anders Løland
FAtt
TDI
38
606
0
25 Mar 2019
Efficient Interpretation of Deep Learning Models Using Graph Structure
  and Cooperative Game Theory: Application to ASD Biomarker Discovery
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery
Xiaoxiao Li
Nicha Dvornek
Yuan Zhou
Juntang Zhuang
P. Ventola
James S. Duncan
263
19
0
14 Dec 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
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