Explainable AI


Visualizing Deep Networks by Optimizing with Integrated Gradients
Zhongang Qi,
Saeed Khorram,
Fuxin Li
[pdf]
[bibtex]
@InProceedings{Qi_2019_CVPR_Workshops,
author = {Qi, Zhongang and Khorram, Saeed and Li, Fuxin},
title = {Visualizing Deep Networks by Optimizing with Integrated Gradients},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Deep Coupling of Random Ferns
Sangwon Kim,
Mira Jeong,
Deokwoo Lee,
Byoung Chul Ko
[pdf]
[bibtex]
@InProceedings{Kim_2019_CVPR_Workshops,
author = {Kim, Sangwon and Jeong, Mira and Lee, Deokwoo and Chul Ko, Byoung},
title = {Deep Coupling of Random Ferns},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Unsupervised clustering based understanding of CNN
Deeptha Girish,
Vineeta Singh,
Anca Ralescu
[pdf]
[bibtex]
@InProceedings{Girish_2019_CVPR_Workshops,
author = {Girish, Deeptha and Singh, Vineeta and Ralescu, Anca},
title = {Unsupervised clustering based understanding of CNN},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Identifying Interpretable Action Concepts in Deep Networks
Kandan Ramakrishnan,
Mathew Monfort,
Barry A McNamara,
Alex Lascelles,
Dan Gutfreund,
Rogerio Feris,
Aude Oliva
[pdf]
[bibtex]
@InProceedings{Ramakrishnan_2019_CVPR_Workshops,
author = {Ramakrishnan, Kandan and Monfort, Mathew and A McNamara, Barry and Lascelles, Alex and Gutfreund, Dan and Feris, Rogerio and Oliva, Aude},
title = {Identifying Interpretable Action Concepts in Deep Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
Devinder Kumarl Ibrahim Ben Daya,
Kanav Vats,
Jeffery Feng,
Graham Taylor,
Alexander Wong
[pdf]
[bibtex]
@InProceedings{Daya_2019_CVPR_Workshops,
author = {Kumarl Ibrahim Ben Daya, Devinder and Vats, Kanav and Feng, Jeffery and Taylor, Graham and Wong, Alexander},
title = {Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Building Explainable AI Evaluation for Autonomous Perception
Chi Zhang,
Biyao Shang,
Ping Wei,
Li Li,
Yuehu Liu,
Nanning Zheng
[pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR_Workshops,
author = {Zhang, Chi and Shang, Biyao and Wei, Ping and Li, Li and Liu, Yuehu and Zheng, Nanning},
title = {Building Explainable AI Evaluation for Autonomous Perception},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network
Rachana Sathish,
Debdoot Sheet
[pdf]
[bibtex]
@InProceedings{Sathish_2019_CVPR_Workshops,
author = {Sathish, Rachana and Sheet, Debdoot},
title = {Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Localizing Common Objects Using Common Component Activation Map
Weihao Li,
Omid Hosseini Jafari,
Carsten Rother
[pdf]
[bibtex]
@InProceedings{Li_2019_CVPR_Workshops,
author = {Li, Weihao and Hosseini Jafari, Omid and Rother, Carsten},
title = {Localizing Common Objects Using Common Component Activation Map},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Interpretation of Deep CNN Recognition with Filter Space Clustering in Feature Extraction and Reconstruction
Sukhan Lee,
Naeem Ul Islam
[pdf]
[bibtex]
@InProceedings{Lee_2019_CVPR_Workshops,
author = {Lee, Sukhan and Ul Islam, Naeem},
title = {Interpretation of Deep CNN Recognition with Filter Space Clustering in Feature Extraction and Reconstruction},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
Masanari Kimura,
Masayuki Tanaka
[pdf]
[bibtex]
@InProceedings{Kimura_2019_CVPR_Workshops,
author = {Kimura, Masanari and Tanaka, Masayuki},
title = {Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Relevance Regularization of Convolutional Neural Network for Interpretable Classification
Chae Hwa Yoo,
Nayoung Kim,
Je-Won Kang
[pdf]
[bibtex]
@InProceedings{Yoo_2019_CVPR_Workshops,
author = {Hwa Yoo, Chae and Kim, Nayoung and Kang, Je-Won},
title = {Relevance Regularization of Convolutional Neural Network for Interpretable Classification},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Interpretable Machine Learning for Generating Semantically Meaningful Formative Feedback
Nese Alyuz,
Tevfik Metin Sezgin
[pdf]
[bibtex]
@InProceedings{Alyuz_2019_CVPR_Workshops,
author = {Alyuz, Nese and Metin Sezgin, Tevfik},
title = {Interpretable Machine Learning for Generating Semantically Meaningful Formative Feedback},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
Li Chen,
Carter Yagemann,
Evan Downing
[pdf]
[bibtex]
@InProceedings{Chen_2019_CVPR_Workshops,
author = {Chen, Li and Yagemann, Carter and Downing, Evan},
title = {To believe or not to believe: Validating explanation fidelity for dynamic malware analysis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Learning Semantically Meaningful Embeddings Using Linear Constraints
Shuyu Lin,
Bo Yang,
Robert Birke,
Ronald Clark
[pdf]
[bibtex]
@InProceedings{Lin_2019_CVPR_Workshops,
author = {Lin, Shuyu and Yang, Bo and Birke, Robert and Clark, Ronald},
title = {Learning Semantically Meaningful Embeddings Using Linear Constraints},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Deep Visual City Recognition Visualization
Xiangwei Shi,
Seyran Khademi,
Jan van Gemert
[pdf]
[bibtex]
@InProceedings{Shi_2019_CVPR_Workshops,
author = {Shi, Xiangwei and Khademi, Seyran and van Gemert, Jan},
title = {Deep Visual City Recognition Visualization},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis
Shiwen Shen,
Simon X Han,
Denise R Aberle,
Alex A Bui,
William Hsu
[pdf]
[bibtex]
@InProceedings{Shen_2019_CVPR_Workshops,
author = {Shen, Shiwen and X Han, Simon and R Aberle, Denise and A Bui, Alex and Hsu, William},
title = {Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Are CNN Predictions based on Reasonable Evidence?
Sarah Adel Bargal,
Andrea Zunino,
Vitali Petsiuk,
Jianming Zhang,
Kate Saenko,
Vittorio Murino,
Stan Sclaroff
[pdf]
[bibtex]
@InProceedings{Bargal_2019_CVPR_Workshops,
author = {Adel Bargal, Sarah and Zunino, Andrea and Petsiuk, Vitali and Zhang, Jianming and Saenko, Kate and Murino, Vittorio and Sclaroff, Stan},
title = {Are CNN Predictions based on Reasonable Evidence?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Explaining the PointNet: What Has Been Learned Inside the PointNet?
Binbin Zhang,
Shikun Huang,
Wen Shen,
Zhihua Wei
[pdf]
[bibtex]
@InProceedings{Zhang_2019_CVPR_Workshops,
author = {Zhang, Binbin and Huang, Shikun and Shen, Wen and Wei, Zhihua},
title = {Explaining the PointNet: What Has Been Learned Inside the PointNet?},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Towards an Understanding of Neural Networks in Natural-Image Spaces
Yifei Fan,
Anthony Yezzi
[pdf]
[bibtex]
@InProceedings{Fan_2019_CVPR_Workshops,
author = {Fan, Yifei and Yezzi, Anthony},
title = {Towards an Understanding of Neural Networks in Natural-Image Spaces},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Geometric interpretation of a CNN's last layer
Alejandro de la Calle,
Aitor Aller,
Javier Tovar,
Emilio J. Almazan
[pdf]
[bibtex]
@InProceedings{Calle_2019_CVPR_Workshops,
author = {de la Calle, Alejandro and Aller, Aitor and Tovar, Javier and Almazan, Emilio J.},
title = {Geometric interpretation of a CNN's last layer},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin,
Beilei Xu,
Wencheng Wu,
Trevor W. Richardson,
Edgar A. Bernal
[pdf]
[bibtex]
@InProceedings{Lin_2019_CVPR_Workshops,
author = {Lin, Lei and Xu, Beilei and Wu, Wencheng and Richardson, Trevor W. and Bernal, Edgar A.},
title = {Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Natural Language Interaction with Explainable AI Models
Arjun R Akula,
Sinisa Todorovic,
Joyce Y Chai,
Song-Chun Zhu
[pdf]
[bibtex]
@InProceedings{Akula_2019_CVPR_Workshops,
author = {R Akula, Arjun and Todorovic, Sinisa and Y Chai, Joyce and Zhu, Song-Chun},
title = {Natural Language Interaction with Explainable AI Models},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Explainable AI as Collaborative Task Solving
Arjun Akula,
Changsong Liu,
Sinisa Todorovic,
Joyce Chai,
Song-Chun Zhu
[pdf]
[bibtex]
@InProceedings{Akula_2019_CVPR_Workshops,
author = {Akula, Arjun and Liu, Changsong and Todorovic, Sinisa and Chai, Joyce and Zhu, Song-Chun},
title = {Explainable AI as Collaborative Task Solving},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Explainability for Content-Based Image Retrieval
Bo Dong,
Roddy Collins,
Anthony Hoogs
[pdf]
[bibtex]
@InProceedings{Dong_2019_CVPR_Workshops,
author = {Dong, Bo and Collins, Roddy and Hoogs, Anthony},
title = {Explainability for Content-Based Image Retrieval},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks
Teng-Yok Lee,
Jeroen van Baar,
Kent Wittenburg,
Alan Sullivan
[pdf]
[bibtex]
@InProceedings{Lee_2019_CVPR_Workshops,
author = {Lee, Teng-Yok and van Baar, Jeroen and Wittenburg, Kent and Sullivan, Alan},
title = {Analysis of the contribution and temporal dependency of LSTM layers for reinforcement learning tasks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping
Xi Yang,
Bojian Wu,
Issei Sato,
Takeo Igarashi
[pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR_Workshops,
author = {Yang, Xi and Wu, Bojian and Sato, Issei and Igarashi, Takeo},
title = {Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Visualizing the Resilience of Deep Convolutional Network Interpretations
Bhavan Vasu,
Andreas Savakis
[pdf]
[bibtex]
@InProceedings{Vasu_2019_CVPR_Workshops,
author = {Vasu, Bhavan and Savakis, Andreas},
title = {Visualizing the Resilience of Deep Convolutional Network Interpretations},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Beauty Learning and Counterfactual Inference
Tao Li
[pdf]
[bibtex]
@InProceedings{Li_2019_CVPR_Workshops,
author = {Li, Tao},
title = {Beauty Learning and Counterfactual Inference},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Visualizing the Decision-making Process in Deep Neural Decision Forest
Shichao Li,
Kwang-Ting Cheng
[pdf]
[bibtex]
@InProceedings{Li_2019_CVPR_Workshops,
author = {Li, Shichao and Cheng, Kwang-Ting},
title = {Visualizing the Decision-making Process in Deep Neural Decision Forest},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps
Keisuke Kiritoshi,
Ryosuke Tanno,
Tomonori Izumitani
[pdf]
[bibtex]
@InProceedings{Kiritoshi_2019_CVPR_Workshops,
author = {Kiritoshi, Keisuke and Tanno, Ryosuke and Izumitani, Tomonori},
title = {L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}