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Exact and Consistent Interpretation for Piecewise Linear Neural
  Networks: A Closed Form Solution

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution

17 February 2018
Lingyang Chu
X. Hu
Juhua Hu
Lanjun Wang
J. Pei
ArXivPDFHTML

Papers citing "Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution"

24 / 24 papers shown
Title
Learning Interpretable Rules for Scalable Data Representation and
  Classification
Learning Interpretable Rules for Scalable Data Representation and Classification
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
30
7
0
22 Oct 2023
A max-affine spline approximation of neural networks using the Legendre
  transform of a convex-concave representation
A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
Adam Perrett
Danny Wood
Gavin Brown
21
0
0
16 Jul 2023
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
33
0
29 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study
The Power of Typed Affine Decision Structures: A Case Study
Gerrit Nolte
Maximilian Schlüter
Alnis Murtovi
Bernhard Steffen
AAML
20
3
0
28 Apr 2023
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by
  Identifying Important Nodes with Bridgeness
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness
Hogun Park
Jennifer Neville
14
4
0
24 Apr 2023
Model Doctor for Diagnosing and Treating Segmentation Error
Model Doctor for Diagnosing and Treating Segmentation Error
Zhijie Jia
Lin Chen
Kaiwen Hu
Lechao Cheng
Zunlei Feng
Min-Gyoo Song
26
0
0
17 Feb 2023
Towards Rigorous Understanding of Neural Networks via
  Semantics-preserving Transformations
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations
Maximilian Schlüter
Gerrit Nolte
Alnis Murtovi
Bernhard Steffen
29
6
0
19 Jan 2023
Non-Linear Coordination Graphs
Non-Linear Coordination Graphs
Yipeng Kang
Tonghan Wang
Xiao-Ren Wu
Qianlan Yang
Chongjie Zhang
37
9
0
26 Oct 2022
A Survey of Neural Trees
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Mingli Song
AI4CE
20
6
0
07 Sep 2022
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity
  Movie Recommendation Explanation Tasks
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks
Claudia V. Roberts
Ehtsham Elahi
Ashok Chandrashekar
FAtt
19
4
0
09 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
A Rigorous Study of Integrated Gradients Method and Extensions to
  Internal Neuron Attributions
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
Daniel Lundstrom
Tianjian Huang
Meisam Razaviyayn
FAtt
24
64
0
24 Feb 2022
Training Neural Networks for Solving 1-D Optimal Piecewise Linear
  Approximation
Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation
Hangcheng Dong
Jing-Xiao Liao
Yan Wang
Yixin Chen
Bingguo Liu
Dong Ye
Guodong Liu
111
0
0
14 Oct 2021
Scalable Rule-Based Representation Learning for Interpretable
  Classification
Scalable Rule-Based Representation Learning for Interpretable Classification
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
37
61
0
30 Sep 2021
Deep Active Learning for Text Classification with Diverse
  Interpretations
Deep Active Learning for Text Classification with Diverse Interpretations
Qiang Liu
Yanqiao Zhu
Zhaocheng Liu
Yufeng Zhang
Shu Wu
AI4CE
33
14
0
15 Aug 2021
Robust Counterfactual Explanations on Graph Neural Networks
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj
Lingyang Chu
Zihui Xue
J. Pei
Lanjun Wang
P. C. Lam
Yong Zhang
OOD
43
96
0
08 Jul 2021
Learning and Meshing from Deep Implicit Surface Networks Using an
  Efficient Implementation of Analytic Marching
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
Jiabao Lei
Kui Jia
Yi Ma
15
10
0
18 Jun 2021
Analytic Marching: An Analytic Meshing Solution from Deep Implicit
  Surface Networks
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei
Kui Jia
22
21
0
16 Feb 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
38
300
0
08 Jan 2020
Transparent Classification with Multilayer Logical Perceptrons and
  Random Binarization
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
19
29
0
10 Dec 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Tian Guo
Tao R. Lin
Nino Antulov-Fantulin
AI4TS
26
154
0
28 May 2019
Multi-Granularity Reasoning for Social Relation Recognition from Images
Multi-Granularity Reasoning for Social Relation Recognition from Images
Meng Zhang
Xinchen Liu
Wu Liu
Anfu Zhou
Huadong Ma
Tao Mei
17
42
0
10 Jan 2019
A Multidisciplinary Survey and Framework for Design and Evaluation of
  Explainable AI Systems
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni
Niloofar Zarei
Eric D. Ragan
31
102
0
28 Nov 2018
Techniques for Interpretable Machine Learning
Techniques for Interpretable Machine Learning
Mengnan Du
Ninghao Liu
Xia Hu
FaML
39
1,072
0
31 Jul 2018
1