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1908.02686
Cited By
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
7 August 2019
Jörg Wagner
Jan M. Köhler
Tobias Gindele
Leon Hetzel
Thaddäus Wiedemer
Sven Behnke
AAML
FAtt
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Papers citing
"Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks"
37 / 37 papers shown
Title
Fast-DataShapley: Neural Modeling for Training Data Valuation
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Yu Xiong
Runze Wu
Xinyu Cai
Changjie Fan
Lan Zhang
Xiang-Yang Li
TDI
129
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Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
157
1
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18 Apr 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers
Éloi Zablocki
Valentin Gerard
Amaia Cardiel
Eric Gaussier
Matthieu Cord
Eduardo Valle
164
0
0
23 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
Dennis Fucci
Marco Gaido
Beatrice Savoldi
Matteo Negri
Mauro Cettolo
L. Bentivogli
274
3
0
03 Nov 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation
Yingying Hua
Shiming Ge
Daichi Zhang
FAtt
124
0
0
20 Sep 2024
Feature CAM: Interpretable AI in Image Classification
Frincy Clement
Ji Yang
Irene Cheng
FAtt
43
1
0
08 Mar 2024
On Model Explanations with Transferable Neural Pathways
Xinmiao Lin
Wentao Bao
Qi Yu
Yu Kong
39
0
0
18 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability Methods
Sarah Schwettmann
Tamar Rott Shaham
Joanna Materzyñska
Neil Chowdhury
Shuang Li
Jacob Andreas
David Bau
Antonio Torralba
56
22
0
07 Sep 2023
ODAM: Gradient-based instance-specific visual explanations for object detection
Chenyang Zhao
Antoni B. Chan
FAtt
58
10
0
13 Apr 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
Jingwei Zhang
Farzan Farnia
UQCV
71
4
0
08 Jan 2023
OCTET: Object-aware Counterfactual Explanations
Mehdi Zemni
Mickaël Chen
Éloi Zablocki
H. Ben-younes
Patrick Pérez
Matthieu Cord
AAML
107
29
0
22 Nov 2022
NeuroMapper: In-browser Visualizer for Neural Network Training
Zhiyan Zhou
Kevin Wenliang Li
Haekyu Park
Megan Dass
Austin P. Wright
Nilaksh Das
Duen Horng Chau
3DH
84
2
0
22 Oct 2022
Spatial-temporal Concept based Explanation of 3D ConvNets
Yi Ji
Yu Wang
K. Mori
Jien Kato
3DPC
FAtt
85
7
0
09 Jun 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
178
423
0
20 Jan 2022
Making a Bird AI Expert Work for You and Me
Dongliang Chang
Kaiyue Pang
Ruoyi Du
Zhanyu Ma
Yi-Zhe Song
Jun Guo
124
11
0
06 Dec 2021
Reinforcement Explanation Learning
Siddhant Agarwal
Owais Iqbal
Sree Aditya Buridi
Madda Manjusha
Abir Das
FAtt
33
0
0
26 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics
P. Jacob
Éloi Zablocki
H. Ben-younes
Mickaël Chen
P. Pérez
Matthieu Cord
79
43
0
17 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models
Xinmiao Lin
Wentao Bao
Matthew Wright
Yu Kong
FAtt
AAML
78
2
0
01 Nov 2021
Explainable, automated urban interventions to improve pedestrian and vehicle safety
Cristina Bustos
Daniel Rhoads
Albert Solé-Ribalta
David Masip
Alexandre Arenas
Àgata Lapedriza
Javier Borge-Holthoefer
58
29
0
22 Oct 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
Lin Cheng
Pengfei Fang
Yanjie Liang
Liao Zhang
Chunhua Shen
Hanzi Wang
FAtt
135
12
0
11 Oct 2021
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
R. Rosu
Sven Behnke
3DV
69
10
0
09 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
128
70
0
26 Jul 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
Samuele Poppi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
FAtt
199
34
0
20 Apr 2021
Improving Attribution Methods by Learning Submodular Functions
Piyushi Manupriya
Tarun Ram Menta
S. Jagarlapudi
V. Balasubramanian
TDI
91
6
0
19 Apr 2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Huiqi Deng
Na Zou
Weifu Chen
Guo-Can Feng
Mengnan Du
Helen Zhou
FAtt
71
6
0
14 Apr 2021
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
Martin Charachon
C´eline Hudelot
P. Cournède
Camille Ruppli
R. Ardon
AAML
GAN
FAtt
MedIm
18
7
0
14 Dec 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
Xiangwei Shi
Seyran Khademi
Yun-qiang Li
Jan van Gemert
VLM
WSOL
88
20
0
16 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models
Yuhki Hatakeyama
Hiroki Sakuma
Yoshinori Konishi
Kohei Suenaga
FAtt
64
3
0
06 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
XAI
FAtt
101
226
0
25 Sep 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks
Hong G Jung
Sin-Han Kang
Hee-Dong Kim
Dong-Ok Won
Seong-Whan Lee
OOD
FAtt
94
24
0
05 Aug 2020
Generative causal explanations of black-box classifiers
Matthew R. O’Shaughnessy
Gregory H. Canal
Marissa Connor
Mark A. Davenport
Christopher Rozell
CML
103
73
0
24 Jun 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
67
7
0
21 Apr 2020
Improving Feature Attribution through Input-specific Network Pruning
Ashkan Khakzar
Soroosh Baselizadeh
Saurabh Khanduja
Christian Rupprecht
S. T. Kim
Nassir Navab
FAtt
58
11
0
25 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
276
6,386
0
22 Oct 2019
Explaining image classifiers by removing input features using generative models
Chirag Agarwal
Anh Totti Nguyen
FAtt
100
15
0
09 Oct 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Helen Zhou
FAtt
114
1,078
0
03 Oct 2019
Interpreting Layered Neural Networks via Hierarchical Modular Representation
C. Watanabe
84
19
0
03 Oct 2018
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