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1906.10651
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Interpretable Image Recognition with Hierarchical Prototypes
25 June 2019
Peter Hase
Chaofan Chen
Oscar Li
Cynthia Rudin
VLM
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Papers citing
"Interpretable Image Recognition with Hierarchical Prototypes"
27 / 27 papers shown
Title
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
Siyang Song
David Chen
Thomas Statchen
Michael C. Burkhart
Nipun Bhandari
Bashar Ramadan
Brett Beaulieu-Jones
77
1
0
11 Apr 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
114
0
0
24 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
Jon Vadillo
Roberto Santana
J. A. Lozano
Marta Z. Kwiatkowska
BDL
AAML
114
0
0
17 Feb 2025
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
S. Saralajew
Ashish Rana
T. Villmann
Ammar Shaker
OOD
112
1
0
20 Dec 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
187
0
0
14 Sep 2024
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Jiaheng Xie
Xiaohang Zhao
Xiang Liu
Xiao Fang
OOD
100
2
0
08 Nov 2022
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
140
556
0
13 Dec 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors
Alireza Shafaei
Mark Schmidt
James J. Little
OODD
71
58
0
13 Sep 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
183
1,172
0
27 Jun 2018
Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
Oscar Li
Hao Liu
Chaofan Chen
Cynthia Rudin
137
586
0
13 Oct 2017
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification
Xinqi Zhu
Michael Bain
113
151
0
28 Sep 2017
BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections
Karim Ahmed
Lorenzo Torresani
42
5
0
20 Apr 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILM
FAtt
97
1,506
1
19 Apr 2017
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
142
5,920
0
04 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
354
3,742
0
28 Feb 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
67
201
0
02 Jan 2017
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
163
15,573
0
25 Dec 2016
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
155
2,371
0
21 Jun 2016
Part-Stacked CNN for Fine-Grained Visual Categorization
Shaoli Huang
Zhe Xu
Dacheng Tao
Ya Zhang
67
418
0
26 Dec 2015
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
186
9,280
0
14 Dec 2015
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
92
1,412
0
19 Nov 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
Marcel Simon
E. Rodner
57
412
0
30 Apr 2015
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
187
790
0
24 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.0K
99,991
0
04 Sep 2014
Part-based R-CNNs for Fine-grained Category Detection
Ning Zhang
Jeff Donahue
Ross B. Girshick
Trevor Darrell
ObjD
97
1,223
0
15 Jul 2014
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson
Grant Van Horn
Serge J. Belongie
Pietro Perona
65
512
0
11 Jun 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
207
7,252
0
20 Dec 2013
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