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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
v1v2v3v4 (latest)

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
ArXiv (abs)PDFHTMLGithub (1561★)

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

50 / 5,298 papers shown
Title
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain
  Adaptation
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation
Sicheng Zhao
Yue Liu
Xiangyu Yue
Pengfei Xu
Kurt Keutzer
OOD
74
65
0
19 Feb 2020
Learning Global Transparent Models Consistent with Local Contrastive
  Explanations
Learning Global Transparent Models Consistent with Local Contrastive Explanations
Tejaswini Pedapati
Avinash Balakrishnan
Karthikeyan Shanmugam
Amit Dhurandhar
FAtt
41
0
0
19 Feb 2020
Interpreting Interpretations: Organizing Attribution Methods by Criteria
Interpreting Interpretations: Organizing Attribution Methods by Criteria
Zifan Wang
Piotr (Peter) Mardziel
Anupam Datta
Matt Fredrikson
XAIFAtt
54
17
0
19 Feb 2020
Large-scale biometry with interpretable neural network regression on UK
  Biobank body MRI
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
Taro Langner
Robin Strand
H. Ahlström
J. Kullberg
98
22
0
17 Feb 2020
Breast Cancer Histopathology Image Classification and Localization using
  Multiple Instance Learning
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Abhijeet Patil
Dipesh Tamboli
S. Meena
Deepak Anand
A. Sethi
33
24
0
16 Feb 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and
  Other Tasks
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
M. Leming
Juan M Gorriz
J. Suckling
36
52
0
14 Feb 2020
Classifying the classifier: dissecting the weight space of neural
  networks
Classifying the classifier: dissecting the weight space of neural networks
Gabriel Eilertsen
Daniel Jonsson
Timo Ropinski
Jonas Unger
Anders Ynnerman
71
54
0
13 Feb 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine
  Learning Models
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
Qianwen Wang
W. Alexander
J. Pegg
Huamin Qu
Min Chen
VLM
63
10
0
12 Feb 2020
Self-explaining AI as an alternative to interpretable AI
Self-explaining AI as an alternative to interpretable AI
Daniel C. Elton
92
56
0
12 Feb 2020
An End-to-End Visual-Audio Attention Network for Emotion Recognition in
  User-Generated Videos
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos
Sicheng Zhao
Yunsheng Ma
Yang Gu
Jufeng Yang
Tengfei Xing
Pengfei Xu
Runbo Hu
Hua Chai
Kurt Keutzer
69
100
0
12 Feb 2020
Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma
M. Sayici
R. Yamashita
Jeanne Shen
14
1
0
12 Feb 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
82
306
0
11 Feb 2020
Fine-grained Uncertainty Modeling in Neural Networks
Fine-grained Uncertainty Modeling in Neural Networks
Rahul Soni
Naresh Shah
J. D. Moore
UQCV
24
5
0
11 Feb 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
Changjian Chen
Jun Yuan
Yafeng Lu
Yang Liu
Hang Su
Songtao Yuan
Shixia Liu
OODD
69
65
0
08 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung
Seonguk Park
Jangho Kim
Nojun Kwak
GAN
94
131
0
05 Feb 2020
Concept Whitening for Interpretable Image Recognition
Concept Whitening for Interpretable Image Recognition
Zhi Chen
Yijie Bei
Cynthia Rudin
FAtt
109
323
0
05 Feb 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based
  Unsupervised Learning
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning
Hazem M. Fahmy
F. Pastore
M. Bagherzadeh
Lionel C. Briand
AI4CEAAML
69
30
0
03 Feb 2020
DANCE: Enhancing saliency maps using decoys
DANCE: Enhancing saliency maps using decoys
Y. Lu
Wenbo Guo
Masashi Sugiyama
William Stafford Noble
AAML
85
14
0
03 Feb 2020
Interpretability of Blackbox Machine Learning Models through Dataview
  Extraction and Shadow Model creation
Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation
Rupam Patir
Shubham Singhal
C. Anantaram
Vikram Goyal
40
0
0
02 Feb 2020
Interpreting video features: a comparison of 3D convolutional networks
  and convolutional LSTM networks
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
Joonatan Mänttäri
Sofia Broomé
John Folkesson
Hedvig Kjellström
FAtt
67
28
0
02 Feb 2020
Search for Better Students to Learn Distilled Knowledge
Search for Better Students to Learn Distilled Knowledge
Jindong Gu
Volker Tresp
52
19
0
30 Jan 2020
Black-Box Saliency Map Generation Using Bayesian Optimisation
Black-Box Saliency Map Generation Using Bayesian Optimisation
Mamuku Mokuwe
Michael G. Burke
Anna Sergeevna Bosman
FAtt
34
4
0
30 Jan 2020
Unsupervised Anomaly Detection for X-Ray Images
Unsupervised Anomaly Detection for X-Ray Images
Diana Davletshina
Valentyn Melnychuk
Viet Tran
Hitansh Singla
M. Berrendorf
Evgeniy Faerman
Michael Fromm
Matthias Schubert
54
29
0
29 Jan 2020
Explaining with Counter Visual Attributes and Examples
Explaining with Counter Visual Attributes and Examples
Sadaf Gulshad
A. Smeulders
XAIFAttAAML
75
15
0
27 Jan 2020
Visualisation of Medical Image Fusion and Translation for Accurate
  Diagnosis of High Grade Gliomas
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
Nishant Kumar
Nico Hoffmann
M. Kirsch
Stefan Gumhold
MedIm
36
3
0
26 Jan 2020
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating
  Explainable AI Systems
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems
Zana Buçinca
Phoebe Lin
Krzysztof Z. Gajos
Elena L. Glassman
ELM
90
288
0
22 Jan 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
269
349
0
22 Jan 2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant
  chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional
  validation study
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study
Nathaniel Braman
M. Adoui
M. Vulchi
P. Turk
M. Etesami
...
V. Varadan
D. Plecha
M. Benjelloun
J. Abraham
A. Madabhushi
34
24
0
22 Jan 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep
  Learning in Safety-Critical Perception Tasks
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
Oliver Willers
Sebastian Sudholt
Shervin Raafatnia
Stephanie Abrecht
106
80
0
22 Jan 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image
  Segmentation
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
Jesse Sun
Fatemeh Darbeha
M. Zaidi
Bo Wang
AAML
84
111
0
21 Jan 2020
Deceptive AI Explanations: Creation and Detection
Deceptive AI Explanations: Creation and Detection
Johannes Schneider
Christian Meske
Michalis Vlachos
81
28
0
21 Jan 2020
Motif Difference Field: A Simple and Effective Image Representation of
  Time Series for Classification
Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification
Yadong Zhang
Xin Chen
AI4TS
24
2
0
21 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right
Evaluating Weakly Supervised Object Localization Methods Right
Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
WSOL
393
189
0
21 Jan 2020
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
Ramprasaath R. Selvaraju
Purva Tendulkar
Devi Parikh
Eric Horvitz
Marco Tulio Ribeiro
Besmira Nushi
Ece Kamar
LRM
57
14
0
20 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S. Raschka
Benjamin Kaufman
AI4CE
81
67
0
17 Jan 2020
Adapting Grad-CAM for Embedding Networks
Adapting Grad-CAM for Embedding Networks
Lei Chen
Jianhui Chen
Hossein Hajimirsadeghi
Greg Mori
73
57
0
17 Jan 2020
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional
  Neural Networks
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
Henrique Siqueira
S. Magg
S. Wermter
CVBM
64
127
0
17 Jan 2020
Interpreting Galaxy Deblender GAN from the Discriminator's Perspective
Interpreting Galaxy Deblender GAN from the Discriminator's Perspective
Heyi Li
Yuewei Lin
Klaus Mueller
Wei Xu
GAN
27
3
0
17 Jan 2020
Estimating and abstracting the 3D structure of bones using neural
  networks on X-ray (2D) images
Estimating and abstracting the 3D structure of bones using neural networks on X-ray (2D) images
Jana Čavojská
J. Petrasch
Nicolas J. Lehmann
A. Voisard
Peter Böttcher
MedIm
13
0
0
16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset
  DAmageNet
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
AAML
112
105
0
16 Jan 2020
Rethinking Motion Representation: Residual Frames with 3D ConvNets for
  Better Action Recognition
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Li Tao
Xueting Wang
T. Yamasaki
3DPC
66
24
0
16 Jan 2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a
  Smartphone Camera
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Yuan Liang
Hsuan-Wei Fan
Zhujun Fang
L. Miao
Wen Li
Xuan Zhang
Weibin Sun
Kun Wang
Lei He
Xiang Ánthony' Chen
53
37
0
16 Jan 2020
Making deep neural networks right for the right scientific reasons by
  interacting with their explanations
Making deep neural networks right for the right scientific reasons by interacting with their explanations
P. Schramowski
Wolfgang Stammer
Stefano Teso
Anna Brugger
Xiaoting Shao
Hans-Georg Luigs
Anne-Katrin Mahlein
Kristian Kersting
147
213
0
15 Jan 2020
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based
  Object Re-Identification
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
82
107
0
15 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field
Extending Class Activation Mapping Using Gaussian Receptive Field
Bum Jun Kim
Gyogwon Koo
Hyeyeon Choi
Sang Woo Kim
38
7
0
15 Jan 2020
Relevance Prediction from Eye-movements Using Semi-interpretable
  Convolutional Neural Networks
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks
Nilavra Bhattacharya
Somnath Rakshit
J. Gwizdka
P. Kogut
128
25
0
15 Jan 2020
An Adversarial Approach for the Robust Classification of Pneumonia from
  Chest Radiographs
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
Joseph D. Janizek
G. Erion
A. DeGrave
Su-In Lee
OODMedIm
66
29
0
13 Jan 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional
  Connectivity Analysis
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim
J. C. Ye
AI4CEGNN
86
133
0
10 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAMLAI4CE
94
317
0
08 Jan 2020
Zero-Shot Reinforcement Learning with Deep Attention Convolutional
  Neural Networks
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks
Sahika Genc
S. Mallya
S. Bodapati
Tao Sun
Yunzhe Tao
46
6
0
02 Jan 2020
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