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Example Forgetting: A Novel Approach to Explain and Interpret Deep
  Neural Networks in Seismic Interpretation

Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation

24 February 2023
Ryan Benkert
Oluwaseun Joseph Aribido
Ghassan AlRegib
ArXivPDFHTML

Papers citing "Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation"

29 / 29 papers shown
Title
Explaining Deep Models through Forgettable Learning Dynamics
Explaining Deep Models through Forgettable Learning Dynamics
Ryan Benkert
Oluwaseun Joseph Aribido
Ghassan AlRegib
FAtt
32
9
0
10 Jan 2023
Gradients as a Measure of Uncertainty in Neural Networks
Gradients as a Measure of Uncertainty in Neural Networks
Jinsol Lee
Ghassan AlRegib
UQCV
45
60
0
18 Aug 2020
Novelty Detection Through Model-Based Characterization of Neural
  Networks
Novelty Detection Through Model-Based Characterization of Neural Networks
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
39
23
0
13 Aug 2020
Contrastive Explanations in Neural Networks
Contrastive Explanations in Neural Networks
Mohit Prabhushankar
Gukyeong Kwon
Dogancan Temel
Ghassan AlRegib
FAtt
38
33
0
01 Aug 2020
Backpropagated Gradient Representations for Anomaly Detection
Backpropagated Gradient Representations for Anomaly Detection
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
58
71
0
18 Jul 2020
Semantic Photo Manipulation with a Generative Image Prior
Semantic Photo Manipulation with a Generative Image Prior
David Bau
Hendrik Strobelt
William S. Peebles
Jonas Wulff
Bolei Zhou
Jun-Yan Zhu
Antonio Torralba
GAN
81
352
0
15 May 2020
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization
Peihao Zhu
Rameen Abdal
Yipeng Qin
Peter Wonka
DiffM
63
444
0
28 Nov 2019
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
M. Alfarraj
G. Al-Regib
36
82
0
19 Aug 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Cheng-Han Lee
Ziwei Liu
Lingyun Wu
Ping Luo
CVBM
146
1,076
0
27 Jul 2019
Mask-Guided Portrait Editing with Conditional GANs
Mask-Guided Portrait Editing with Conditional GANs
Shuyang Gu
Jianmin Bao
Hao Yang
Dong Chen
Fang Wen
Lu Yuan
GAN
CVBM
83
135
0
24 May 2019
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an
  Ensemble of Convolutional Neural Networks
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin
A. Sanakoyeu
Hirotoshi Kitamura
46
59
0
09 Apr 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
137
2,685
0
18 Mar 2019
A Machine Learning Benchmark for Facies Classification
A Machine Learning Benchmark for Facies Classification
Yazeed Alaudah
P. Michalowicz
M. Alfarraj
G. Al-Regib
CVBM
39
115
0
12 Jan 2019
The role of visual saliency in the automation of seismic interpretation
The role of visual saliency in the automation of seismic interpretation
M. Shafiq
Tariq A. Alshawi
Z. Long
G. Al-Regib
48
20
0
31 Dec 2018
Subsurface structure analysis using computational interpretation and
  learning: A visual signal processing perspective
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
Ghassan AlRegib
Mohamed Deriche
Z. Long
H. Di
Zhen Wang
Yazeed Alaudah
M. Shafiq
M. Alfarraj
33
58
0
20 Dec 2018
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
107
732
0
12 Dec 2018
Online Structured Laplace Approximations For Overcoming Catastrophic
  Forgetting
Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting
H. Ritter
Aleksandar Botev
David Barber
BDL
CLL
83
329
0
20 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
124
2,482
0
12 Apr 2018
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
118
1,351
0
30 Nov 2017
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
161
3,938
0
30 Nov 2017
Seismic facies recognition based on prestack data using deep
  convolutional autoencoder
Seismic facies recognition based on prestack data using deep convolutional autoencoder
Feng Qian
Miao Yin
Xiao-Yang Liu
Yaojun Wang
Guangmin Hu
44
104
0
08 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
346
4,704
0
15 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
337
7,498
0
02 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
311
19,640
0
21 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
268
19,981
0
07 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
233
18,195
0
02 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
764
9,302
0
06 Jun 2015
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
254
10,407
0
06 Nov 2014
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