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  4. Cited By
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

7 October 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
    FAtt
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Papers citing "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

50 / 4,480 papers shown
Title
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando
Harshala Gammulle
Simon Denman
Sridha Sridharan
Clinton Fookes
OOD
22
271
0
04 Dec 2020
IMAGO: A family photo album dataset for a socio-historical analysis of
  the twentieth century
IMAGO: A family photo album dataset for a socio-historical analysis of the twentieth century
L. Stacchio
Alessia Angeli
G. Lisanti
Daniela Calanca
Gustavo Marfia
31
3
0
03 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
33
119
0
03 Dec 2020
Self-Explaining Structures Improve NLP Models
Self-Explaining Structures Improve NLP Models
Zijun Sun
Chun Fan
Qinghong Han
Xiaofei Sun
Yuxian Meng
Fei Wu
Jiwei Li
MILM
XAI
LRM
FAtt
48
38
0
03 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction
Understanding Failures of Deep Networks via Robust Feature Extraction
Sahil Singla
Besmira Nushi
S. Shah
Ece Kamar
Eric Horvitz
FAtt
28
83
0
03 Dec 2020
Interpretable Graph Capsule Networks for Object Recognition
Interpretable Graph Capsule Networks for Object Recognition
Jindong Gu
Volker Tresp
FAtt
24
36
0
03 Dec 2020
Differential Morphed Face Detection Using Deep Siamese Networks
Differential Morphed Face Detection Using Deep Siamese Networks
Sobhan Soleymani
Baaria Chaudhary
Ali Dabouei
J. Dawson
Nasser M. Nasrabadi
CVBM
13
26
0
02 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Yaguan Qian
Jiamin Wang
Bin Wang
Xiang Ling
Zhaoquan Gu
Chunming Wu
Wassim Swaileh
AAML
44
2
0
02 Dec 2020
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
Xin Xing
G. Liang
Hunter Blanton
M. U. Rafique
Chris Wang
Ai-Ling Lin
Nathan Jacobs
MedIm
26
39
0
30 Nov 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification
  and Similarity Discovery
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
21
111
0
29 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image
  Classification
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
21
126
0
29 Nov 2020
Artificial Intelligence applied to chest X-Ray images for the automatic
  detection of COVID-19. A thoughtful evaluation approach
Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach
Julián D. Arias-Londoño
J. Gómez-García
Laureano Moro-Velazquez
Juan Ignacio Godino-Llorente
37
78
0
29 Nov 2020
Reflective-Net: Learning from Explanations
Reflective-Net: Learning from Explanations
Johannes Schneider
Michalis Vlachos
FAtt
OffRL
LRM
57
18
0
27 Nov 2020
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video
  Contrastive Representation Learning
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning
Yixiong Chen
Chunhui Zhang
Li Liu
Cheng Feng
Changfeng Dong
Yongfang Luo
Xiang Wan
VLM
34
44
0
25 Nov 2020
Probing Model Signal-Awareness via Prediction-Preserving Input
  Minimization
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
AAML
32
33
0
25 Nov 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
14
107
0
25 Nov 2020
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
28
76
0
25 Nov 2020
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts
  using Deep Learning
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
Dimitrios Tanoglidis
A. Ćiprijanović
A. Drlica-Wagner
18
15
0
24 Nov 2020
Insights From A Large-Scale Database of Material Depictions In Paintings
Insights From A Large-Scale Database of Material Depictions In Paintings
Hubert Lin
Mitchell J. P. van Zuijlen
M. Wijntjes
S. Pont
Kavita Bala
29
6
0
24 Nov 2020
Dissecting Image Crops
Dissecting Image Crops
Basile Van Hoorick
Carl Vondrick
20
9
0
24 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
33
113
0
23 Nov 2020
Detecting hidden signs of diabetes in external eye photographs
Detecting hidden signs of diabetes in external eye photographs
Boris Babenko
A. Mitani
I. Traynis
Naho Kitade
Preeti Singh
...
L. Peng
D. Webster
A. Varadarajan
N. Hammel
Yun-Hui Liu
30
57
0
23 Nov 2020
Complex-valued Iris Recognition Network
Complex-valued Iris Recognition Network
Kien Nguyen
Clinton Fookes
Sridha Sridharan
Arun Ross
CVBM
21
24
0
23 Nov 2020
Explaining by Removing: A Unified Framework for Model Explanation
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
53
243
0
21 Nov 2020
Deep learning insights into cosmological structure formation
Deep learning insights into cosmological structure formation
Luisa Lucie-Smith
H. Peiris
A. Pontzen
Brian D. Nord
Jeyan Thiyagalingam
26
6
0
20 Nov 2020
Deep learning models for gastric signet ring cell carcinoma
  classification in whole slide images
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images
F. Kanavati
Shin Ichihara
Michael Rambeau
O. Iizuka
K. Arihiro
M. Tsuneki
MedIm
30
24
0
18 Nov 2020
Use HiResCAM instead of Grad-CAM for faithful explanations of
  convolutional neural networks
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
R. Draelos
Lawrence Carin
FAtt
31
94
0
17 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
24
52
0
14 Nov 2020
Robust and Stable Black Box Explanations
Robust and Stable Black Box Explanations
Himabindu Lakkaraju
Nino Arsov
Osbert Bastani
AAML
FAtt
24
84
0
12 Nov 2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised
  Semantic Segmentation
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
E. Stammes
Tom F. H. Runia
M. Hofmann
Mohsen Ghafoorian
21
9
0
09 Nov 2020
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
H. Alshazly
C. Linse
Erhardt Barth
T. Martinetz
28
159
0
09 Nov 2020
Automated Grading System of Retinal Arterio-venous Crossing Patterns: A
  Deep Learning Approach Replicating Ophthalmologist's Diagnostic Process of
  Arteriolosclerosis
Automated Grading System of Retinal Arterio-venous Crossing Patterns: A Deep Learning Approach Replicating Ophthalmologist's Diagnostic Process of Arteriolosclerosis
Liangzhi Li
Manisha Verma
Bowen Wang
Yuta Nakashima
Hajime Nagahara
R. Kawasaki
16
0
0
07 Nov 2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame
  Prediction
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xihuai Wang
Zhengping Che
Bo Jiang
Ning Xiao
Ke Yang
Jian-Bo Tang
Jieping Ye
Jingyu Wang
Q. Qi
25
136
0
05 Nov 2020
A Multi-resolution Model for Histopathology Image Classification and
  Localization with Multiple Instance Learning
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Jiayun Li
Wenyuan Li
Anthony Sisk
Huihui Ye
W. D. Wallace
W. Speier
C. Arnold
24
108
0
05 Nov 2020
Learning Discriminative Representations for Fine-Grained Diabetic
  Retinopathy Grading
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
Li Tian
Liyan Ma
Zhijie Wen
Shaorong Xie
Yupeng Xu
MedIm
30
5
0
04 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing
  Texture
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
SSL
44
11
0
03 Nov 2020
Learning Representations from Audio-Visual Spatial Alignment
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado
Yi Li
Nuno Vasconcelos
SSL
27
121
0
03 Nov 2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for
  Explaining Classifiers
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
Rajat Sharma
N. Reddy
V. Kamakshi
N. C. Krishnan
Shweta Jain
FAtt
29
7
0
03 Nov 2020
Triage of Potential COVID-19 Patients from Chest X-ray Images using
  Hierarchical Convolutional Networks
Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks
K. Dev
Sunder Ali Khowaja
A. Bist
V. Saini
Surbhi Bhatia
30
29
0
01 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
57
1,361
0
31 Oct 2020
(Un)Masked COVID-19 Trends from Social Media
(Un)Masked COVID-19 Trends from Social Media
A. Singh
Paras Mehan
Divyanshu Sharma
Rohan Pandey
Tavpritesh Sethi
Ponnurangam Kumaraguru
39
1
0
30 Oct 2020
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19
  Disease Identification from Chest CT Scans using Capsule Networks
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks
Shahin Heidarian
Parnian Afshar
Arash Mohammadi
M. Rafiee
A. Oikonomou
Konstantinos N. Plataniotis
F. Naderkhani
47
26
0
30 Oct 2020
Explainable Artificial Intelligence for Manufacturing Cost Estimation
  and Machining Feature Visualization
Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization
Soyoung Yoo
Namwoo Kang
14
70
0
28 Oct 2020
Scientific intuition inspired by machine learning generated hypotheses
Scientific intuition inspired by machine learning generated hypotheses
Pascal Friederich
Mario Krenn
Isaac Tamblyn
Alán Aspuru-Guzik
AI4CE
26
34
0
27 Oct 2020
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for
  Tree Ensembles
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree Ensembles
Rory Mitchell
E. Frank
G. Holmes
14
55
0
27 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than
  State-of-the-Art Feature Visualization
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Judy Borowski
Roland S. Zimmermann
Judith Schepers
Robert Geirhos
Thomas S. A. Wallis
Matthias Bethge
Wieland Brendel
FAtt
47
7
0
23 Oct 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object
  Detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang
Yang Zou
V. Bhagavatula
Dong Huang
WSOD
28
120
0
22 Oct 2020
Deep Learning for Distinguishing Normal versus Abnormal Chest
  Radiographs and Generalization to Unseen Diseases
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases
Zaid Nabulsi
Andrew Sellergren
Shahar Jamshy
Charles Lau
E. Santos
...
Daniel Tse
Neeral Beladia
Yun-Hui Liu
Po-Hsuan Cameron Chen
S. Shetty
30
37
0
22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
28
164
0
20 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report
  Generation from Medical Images
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina
Pablo Pino
Denis Parra
Alvaro Soto
Cecilia Besa
S. Uribe
Marcelo andía
C. Tejos
Claudia Prieto
Daniel Capurro
MedIm
36
62
0
20 Oct 2020
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