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1911.07421
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Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
18 November 2019
Tong Che
Xiaofeng Liu
Site Li
Yubin Ge
Ruixiang Zhang
Caiming Xiong
Yoshua Bengio
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Papers citing
"Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models"
45 / 45 papers shown
Title
Automated interpretation of congenital heart disease from multi-view echocardiograms
Jing Wang
Xiaofeng Liu
Fangyun Wang
Lin Zheng
F. Gao
Hanwen Zhang
Xin Zhang
Wanqing Xie
Bin-bin Wang
67
55
0
30 Nov 2023
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
221
30,089
0
01 Mar 2022
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
Xiaofeng Liu
Fangxu Xing
Chao Yang
C.-C. Jay Kuo
Georges Elfakhri
Jonghye Woo
54
27
0
17 Jan 2021
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng Liu
Yuzhuo Han
S. Bai
Yi Ge
Tianxing Wang
Xu Han
Site Li
J. You
Jun Lu
57
55
0
21 Oct 2020
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
Xiaofeng Liu
Tong Che
Yiqun Lu
Chao Yang
Site Li
J. You
3DV
66
21
0
13 Jul 2020
Disentanglement for Discriminative Visual Recognition
Xiaofeng Liu
DRL
49
6
0
14 Jun 2020
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis
Xiaofeng Liu
Xu Han
Yukai Qiao
Yi Ge
Lu Jun
47
33
0
03 Nov 2019
Conservative Wasserstein Training for Pose Estimation
Xiaofeng Liu
Yang Zou
Tong Che
Peng Ding
P. Jia
J. You
Kumar B.V.K
64
33
0
03 Nov 2019
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
Xiaofeng Liu
B. Kumar
Chao Yang
Qingming Tang
J. You
CVBM
49
42
0
05 Jul 2019
Quality of Uncertainty Quantification for Bayesian Neural Network Inference
Jiayu Yao
Weiwei Pan
S. Ghosh
Finale Doshi-Velez
UQCV
BDL
148
113
0
24 Jun 2019
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Balaji Lakshminarayanan
OODD
47
86
0
07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
153
1,688
0
06 Jun 2019
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
157
1,475
0
11 Dec 2018
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
53
756
0
22 Oct 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
Dipankar Das
Bharat Kaul
Theodore L. Willke
OODD
43
246
0
04 Sep 2018
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
282
2,661
0
20 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
149
2,044
0
10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
263
3,124
0
09 Jul 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
208
304
0
21 May 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance Devries
Graham W. Taylor
OOD
OODD
77
586
0
13 Feb 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma
Yue Liu
Yisen Wang
S. Erfani
S. Wijewickrema
Grant Schoenebeck
D. Song
Michael E. Houle
James Bailey
AAML
105
738
0
08 Jan 2018
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
D. Song
AAML
70
522
0
08 Jan 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
110
881
0
26 Nov 2017
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
237
5,812
0
14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
133
2,061
0
08 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
118
1,854
0
20 May 2017
Detecting Adversarial Samples from Artifacts
Reuben Feinman
Ryan R. Curtin
S. Shintre
Andrew B. Gardner
AAML
90
892
0
01 Mar 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
133
1,722
0
31 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
129
3,441
0
07 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
863
6,781
0
26 Sep 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
709
36,708
0
25 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,885
0
08 Jul 2016
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
179
2,378
0
21 Jun 2016
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
167
2,503
0
16 Jun 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
304
7,971
0
23 May 2016
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
177
3,143
0
17 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
199
842
0
17 May 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
100
2,358
0
19 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
115
4,886
0
14 Nov 2015
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
244
1,245
0
01 Sep 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
67
2,331
0
10 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
308
10,050
0
10 Feb 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
225
19,017
0
20 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
441
12,680
0
11 Dec 2014
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