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Mining Interpretable AOG Representations from Convolutional Networks via
  Active Question Answering

Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering

18 December 2018
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
ArXivPDFHTML

Papers citing "Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering"

5 / 5 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
32
7
0
22 Oct 2023
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Jie Ren
Mingjie Li
Qirui Chen
Huiqi Deng
Quanshi Zhang
20
31
0
11 Nov 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing
  Human Trust in Image Recognition Models
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun Reddy Akula
Keze Wang
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
31
47
0
03 Sep 2021
A Competence-aware Curriculum for Visual Concepts Learning via Question
  Answering
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
Qing Li
Siyuan Huang
Yining Hong
Song-Chun Zhu
28
29
0
03 Jul 2020
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
158
113
0
13 Jul 2016
1