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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 / 2,172 papers shown
Title
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
625
0
01 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity
  from DNNs
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
19
18
0
29 Jun 2020
Not all Failure Modes are Created Equal: Training Deep Neural Networks
  for Explicable (Mis)Classification
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification
Alberto Olmo
Sailik Sengupta
S. Kambhampati
28
6
0
26 Jun 2020
Proper Network Interpretability Helps Adversarial Robustness in
  Classification
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy
Sijia Liu
Gaoyuan Zhang
Cynthia Liu
Pin-Yu Chen
Shiyu Chang
Luca Daniel
AAML
FAtt
27
66
0
26 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
Haofan Wang
Rakshit Naidu
J. Michael
Soumya Snigdha Kundu
FAtt
27
79
0
25 Jun 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using
  Deep Learning
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook
Tryambak Gangopadhyay
Linjian Wu
Baskar Ganapathysubramanian
S. Sarkar
Asheesh K. Singh
32
131
0
24 Jun 2020
The color out of space: learning self-supervised representations for
  Earth Observation imagery
The color out of space: learning self-supervised representations for Earth Observation imagery
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
Marco Cipriano
Pietro Fronte
Roberto Cuccu
C. Ippoliti
A. Conte
Simone Calderara
SSL
18
63
0
22 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable
  AI
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A. Tavanaei
XAI
12
31
0
19 Jun 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Y. Alufaisan
L. Marusich
J. Bakdash
Yan Zhou
Murat Kantarcioglu
XAI
22
93
0
19 Jun 2020
COVIDLite: A depth-wise separable deep neural network with white balance
  and CLAHE for detection of COVID-19
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19
Manu Siddhartha
Avik Santra
6
44
0
19 Jun 2020
Deep Learning feature selection to unhide demographic recommender
  systems factors
Deep Learning feature selection to unhide demographic recommender systems factors
Jesús Bobadilla
Ángel González-Prieto
Fernando Ortega
R. Lara-Cabrera
33
21
0
17 Jun 2020
Explanation-based Weakly-supervised Learning of Visual Relations with
  Graph Networks
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
Federico Baldassarre
Kevin Smith
Josephine Sullivan
Hossein Azizpour
29
25
0
16 Jun 2020
A generalizable saliency map-based interpretation of model outcome
A generalizable saliency map-based interpretation of model outcome
Shailja Thakur
S. Fischmeister
AAML
FAtt
MILM
22
2
0
16 Jun 2020
Interpretable multimodal fusion networks reveal mechanisms of brain
  cognition
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Wenxing Hu
Xianghe Meng
Yuntong Bai
Aiying Zhang
Biao Cai
Gemeng Zhang
T. Wilson
Julia M. Stephen
Vince D. Calhoun
Yu-Ping Wang
6
35
0
16 Jun 2020
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining
  Neural Networks
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
Kirill Bykov
Marina M.-C. Höhne
Klaus-Robert Muller
Shinichi Nakajima
Marius Kloft
UQCV
FAtt
27
31
0
16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
42
593
0
16 Jun 2020
Mitigating Gender Bias in Captioning Systems
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
Mengnan Du
Yuening Li
Zirui Liu
Na Zou
Xia Hu
FaML
16
64
0
15 Jun 2020
Hindsight Logging for Model Training
Hindsight Logging for Model Training
Rolando Garcia
Eric Liu
Vikram Sreekanti
Bobby Yan
Anusha Dandamudi
Joseph E. Gonzalez
J. M. Hellerstein
Koushik Sen
VLM
27
10
0
12 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation
SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
SSeg
9
6
0
11 Jun 2020
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for
  Unsupervised Domain Adaptation in Person Re-identification and Beyond
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond
Wenhao Wang
Fang Zhao
Tianran Ouyang
Ling Shao
19
49
0
11 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray
  dataset
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
A. Signoroni
Mattia Savardi
Sergio Benini
Nicola Adami
R. Leonardi
...
F. Vaccher
M. Ravanelli
A. Borghesi
R. Maroldi
D. Farina
19
37
0
08 Jun 2020
EnK: Encoding time-information in convolution
EnK: Encoding time-information in convolution
Avinash Kumar Singh
Chin-Teng Lin
6
1
0
07 Jun 2020
Location, location, location: Satellite image-based real-estate
  appraisal
Location, location, location: Satellite image-based real-estate appraisal
Jan-Peter Kucklick
Oliver Müller
28
5
0
04 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
34
389
0
03 Jun 2020
A Comprehensive Study of Data Augmentation Strategies for Prostate
  Cancer Detection in Diffusion-weighted MRI using Convolutional Neural
  Networks
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks
Ruqian Hao
Khashayar Namdar
Lin Liu
M. Haider
Farzad Khalvati
MedIm
18
57
0
01 Jun 2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided
  Framework: A Large-scale Study
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Luyao Shi
Deepta Rajan
Shafiq Abedin
Srikar Yellapragada
David Beymer
E. Dehghan
17
18
0
29 May 2020
A Performance-Explainability Framework to Benchmark Machine Learning
  Methods: Application to Multivariate Time Series Classifiers
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers
Kevin Fauvel
Véronique Masson
Elisa Fromont
AI4TS
44
17
0
29 May 2020
Not made for each other- Audio-Visual Dissonance-based Deepfake
  Detection and Localization
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization
Komal Chugh
Parul Gupta
Abhinav Dhall
Ramanathan Subramanian
29
164
0
29 May 2020
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts
  Consult for Thyroid Nodule Classification
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
D. Avola
Luigi Cinque
Alessio Fagioli
S. Filetti
G. Grani
Emanuele Rodolà
10
37
0
28 May 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
35
482
0
28 May 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with
  Efficient Method
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method
Jian Jia
Houjing Huang
Wenjie Yang
Xiaotang Chen
Kaiqi Huang
18
44
0
25 May 2020
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS
  from Chest X-Ray Images
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images
Anas Tahir
Yazan Qiblawey
Amith Khandakar
Tawsifur Rahman
U. Khurshid
F. Musharavati
M. T. Islam
S. Kiranyaz
M. Chowdhury
25
49
0
23 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
12
138
0
21 May 2020
An Adversarial Approach for Explaining the Predictions of Deep Neural
  Networks
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks
Arash Rahnama
A.-Yu Tseng
FAtt
AAML
FaML
17
5
0
20 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
21
14
0
19 May 2020
Retrieving and Highlighting Action with Spatiotemporal Reference
Retrieving and Highlighting Action with Spatiotemporal Reference
Seito Kasai
Yuchi Ishikawa
Masaki Hayashi
Y. Aoki
Kensho Hara
Hirokatsu Kataoka
11
0
0
19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
21
64
0
18 May 2020
Project RISE: Recognizing Industrial Smoke Emissions
Project RISE: Recognizing Industrial Smoke Emissions
Yen-Chia Hsu
Ting-Hao 'Kenneth' Huang
Ting-Yao Hu
P. Dille
Sean Prendi
Ryan N. Hoffman
Anastasia Tsuhlares
Jessica Pachuta
Randy Sargent
I. Nourbakhsh
36
19
0
13 May 2020
Incremental Learning for End-to-End Automatic Speech Recognition
Incremental Learning for End-to-End Automatic Speech Recognition
Li Fu
Xiaoxiao Li
Libo Zi
Zhengchen Zhang
Youzheng Wu
Xiaodong He
Bowen Zhou
CLL
40
23
0
11 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
27
13
0
08 May 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
46
298
0
08 May 2020
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time
  Series Classification
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification
Kevin Fauvel
Elisa Fromont
Véronique Masson
P. Faverdin
Alexandre Termier
AI4TS
33
41
0
07 May 2020
Towards Frequency-Based Explanation for Robust CNN
Towards Frequency-Based Explanation for Robust CNN
Zifan Wang
Yilin Yang
Ankit Shrivastava
Varun Rawal
Zihao Ding
AAML
FAtt
21
47
0
06 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
24
312
0
06 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
41
371
0
30 Apr 2020
Single-Side Domain Generalization for Face Anti-Spoofing
Single-Side Domain Generalization for Face Anti-Spoofing
Yunpei Jia
Jie Zhang
Shiguang Shan
Xilin Chen
OOD
14
238
0
29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
CLL
9
6
0
28 Apr 2020
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray
  Screening
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
Chun-Fu Yeh
Hsien-Tzu Cheng
Andy Wei
Hsin-Ming Chen
Po-Chen Kuo
...
Nai-Kuan Chou
Kuan-Hua Chao
Yi-Chin Tu
Yeun-Chung Chang
Tyng-Luh Liu
11
43
0
24 Apr 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
21
54
0
23 Apr 2020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray
  images using fine-tuned deep neural networks
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn
Sonali Agarwal
15
191
0
23 Apr 2020
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