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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 / 2,150 papers shown
Title
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos
Targeted Nonlinear Adversarial Perturbations in Images and Videos
R. Rey-de-Castro
H. Rabitz
AAML
16
10
0
27 Aug 2018
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of
  Urban Tree Cover
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover
B. Cai
Xiaojiang Li
Ian Seiferling
C. Ratti
3DV
15
42
0
14 Aug 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep
  Learning
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning
Fabian Horst
Sebastian Lapuschkin
Wojciech Samek
K. Müller
W. Schöllhorn
AI4CE
31
207
0
13 Aug 2018
Choose Your Neuron: Incorporating Domain Knowledge through
  Neuron-Importance
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
Ramprasaath R. Selvaraju
Prithvijit Chattopadhyay
Mohamed Elhoseiny
Tilak Sharma
Dhruv Batra
Devi Parikh
Stefan Lee
38
35
0
08 Aug 2018
Learning Multi-scale Features for Foreground Segmentation
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim
H. Keles
SSeg
30
178
0
04 Aug 2018
Take a Look Around: Using Street View and Satellite Images to Estimate
  House Prices
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices
Stephen Law
Brooks Paige
Chris Russell
15
131
0
18 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
100
16,142
0
17 Jul 2018
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs
  Machines
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs Machines
Mateusz Trokielewicz
A. Czajka
P. Maciejewicz
CVBM
13
2
0
11 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases
  on Chest Radiography
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang
Yong-quan Xia
26
106
0
09 Jul 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
21
53
0
03 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
39
478
0
02 Jul 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
59
1,157
0
27 Jun 2018
xGEMs: Generating Examplars to Explain Black-Box Models
xGEMs: Generating Examplars to Explain Black-Box Models
Shalmali Joshi
Oluwasanmi Koyejo
Been Kim
Joydeep Ghosh
MLAU
25
40
0
22 Jun 2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Elia Kaufmann
Antonio Loquercio
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
19
134
0
22 Jun 2018
Contrastive Explanations with Local Foil Trees
Contrastive Explanations with Local Foil Trees
J. V. D. Waa
M. Robeer
J. Diggelen
Matthieu J. S. Brinkhuis
Mark Antonius Neerincx
FAtt
19
82
0
19 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
37
1,151
0
19 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer
Nikolay Savinov
Andreas Geiger
15
186
0
18 Jun 2018
Hierarchical interpretations for neural network predictions
Hierarchical interpretations for neural network predictions
Chandan Singh
W. James Murdoch
Bin Yu
31
145
0
14 Jun 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
150
127
0
13 Jun 2018
Understanding Patch-Based Learning by Explaining Predictions
Understanding Patch-Based Learning by Explaining Predictions
Christopher J. Anders
G. Montavon
Wojciech Samek
K. Müller
UQCV
FAtt
33
6
0
11 Jun 2018
Localizing and Quantifying Damage in Social Media Images
Localizing and Quantifying Damage in Social Media Images
Xukun Li
Xukun Li
Doina Caragea
Muhammad Imran
18
57
0
09 Jun 2018
Graph Saliency Maps through Spectral Convolutional Networks: Application
  to Sex Classification with Brain Connectivity
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
Salim Arslan
S. Ktena
Ben Glocker
Daniel Rueckert
GNN
19
53
0
05 Jun 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
40
1,840
0
31 May 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
21
23
0
23 May 2018
Enriched Long-term Recurrent Convolutional Network for Facial
  Micro-Expression Recognition
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
Huai-Qian Khor
John See
Raphaël C.-W. Phan
Weiyao Lin
19
165
0
22 May 2018
Classifier-agnostic saliency map extraction
Classifier-agnostic saliency map extraction
Konrad Zolna
Krzysztof J. Geras
Kyunghyun Cho
22
29
0
21 May 2018
A Theoretical Explanation for Perplexing Behaviors of
  Backpropagation-based Visualizations
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie
Yang Zhang
Ankit B. Patel
FAtt
16
151
0
18 May 2018
Exploring object-centric and scene-centric CNN features and their
  complementarity for human rights violations recognition in images
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images
Grigorios Kalliatakis
Shoaib Ehsan
A. Leonardis
Klaus McDonald-Maier
23
13
0
12 May 2018
Towards Interpretable Face Recognition
Towards Interpretable Face Recognition
Bangjie Yin
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
CVBM
22
82
0
02 May 2018
Pay Attention to Virality: understanding popularity of social media
  videos with the attention mechanism
Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism
Adam Bielski
Tomasz Trzciñski
16
13
0
26 Apr 2018
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser
  Endomicroscopy Glioma Images
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images
Mohammadhassan Izadyyazdanabadi
E. Belykh
C. Cavallo
Xiaochun Zhao
S. Gandhi
L. Moreira
J. Eschbacher
P. Nakaji
M. Preul
Yezhou Yang
21
35
0
25 Apr 2018
Learning Deep Sketch Abstraction
Learning Deep Sketch Abstraction
U. Muhammad
Yongxin Yang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
18
95
0
13 Apr 2018
Entanglement-guided architectures of machine learning by quantum tensor
  network
Entanglement-guided architectures of machine learning by quantum tensor network
Yuhan Liu
Xiao Zhang
M. Lewenstein
Shi-Ju Ran
26
32
0
24 Mar 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
26
120
0
21 Mar 2018
Deep Structure Inference Network for Facial Action Unit Recognition
Deep Structure Inference Network for Facial Action Unit Recognition
C. Corneanu
Meysam Madadi
Sergio Escalera
CVBM
24
126
0
15 Mar 2018
Transparency by Design: Closing the Gap Between Performance and
  Interpretability in Visual Reasoning
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
David Mascharka
Philip Tran
Ryan Soklaski
Arjun Majumdar
36
207
0
14 Mar 2018
Visual Explanations From Deep 3D Convolutional Neural Networks for
  Alzheimer's Disease Classification
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Chengliang Yang
Anand Rangarajan
Sanjay Ranka
FAtt
21
139
0
07 Mar 2018
Multimodal Explanations: Justifying Decisions and Pointing to the
  Evidence
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
37
419
0
15 Feb 2018
Stochastic Deconvolutional Neural Network Ensemble Training on
  Generative Pseudo-Adversarial Networks
Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks
A. Chaplygin
Joshua Chacksfield
GAN
29
0
0
07 Feb 2018
How do Humans Understand Explanations from Machine Learning Systems? An
  Evaluation of the Human-Interpretability of Explanation
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
Menaka Narayanan
Emily Chen
Jeffrey He
Been Kim
S. Gershman
Finale Doshi-Velez
FAtt
XAI
36
241
0
02 Feb 2018
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaML
HAI
17
809
0
02 Feb 2018
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation:
  the Benefit of Target Expectation Maximization
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
Guoliang Kang
Liang Zheng
Yan Yan
Yi Yang
OOD
30
121
0
30 Jan 2018
Re-ID done right: towards good practices for person re-identification
Re-ID done right: towards good practices for person re-identification
Jon Almazán
B. Gajic
Naila Murray
Diane Larlus
3DPC
30
105
0
16 Jan 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
28
281
0
16 Nov 2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
Rushil Anirudh
Jayaraman J. Thiagarajan
R. Sridhar
T. Bremer
FAtt
AAML
23
12
0
15 Nov 2017
Attention Transfer from Web Images for Video Recognition
Attention Transfer from Web Images for Video Recognition
Junnan Li
Yongkang Wong
Qi Zhao
Mohan Kankanhalli
23
45
0
03 Aug 2017
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using
  Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion
Nevrez Imamoglu
Motoki Kimura
H. Miyamoto
A. Fujita
Ryosuke Nakamura
16
12
0
21 Apr 2017
It Takes Two to Tango: Towards Theory of AI's Mind
It Takes Two to Tango: Towards Theory of AI's Mind
Arjun Chandrasekaran
Deshraj Yadav
Prithvijit Chattopadhyay
Viraj Prabhu
Devi Parikh
38
54
0
03 Apr 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
122
3,126
0
02 Dec 2016
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