Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

18 November 2019

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 64 55 0 30 Nov 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 207 30,069 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 48 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 46 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 42 32 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 59 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 141 113 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 45 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 148 1,677 0 06 Jun 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 150 1,468 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 51 753 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 41 247 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 273 2,649 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 140 2,024 0 10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 246 3,110 0 09 Jul 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 203 303 0 21 May 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 77 584 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 95 734 0 08 Jan 2018
Spatially Transformed Adversarial Examples Chaowei Xiao Jun-Yan Zhu Yue Liu Warren He M. Liu D. Song AAML 70 520 0 08 Jan 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 108 880 0 26 Nov 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 230 5,774 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 128 2,054 0 08 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 113 1,851 0 20 May 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 84 892 0 01 Mar 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 129 1,721 0 31 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 126 3,420 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 838 6,768 0 26 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 689 36,599 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 512 5,878 0 08 Jul 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 177 2,371 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 159 2,495 0 16 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 290 7,951 0 23 May 2016
Generative Adversarial Text to Image Synthesis Scott E. Reed Zeynep Akata Xinchen Yan Lajanugen Logeswaran Bernt Schiele Honglak Lee GAN 173 3,136 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 1.6K 192,638 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 92 2,352 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 4,878 0 14 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 234 1,240 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 2,320 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 298 10,034 0 10 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 213 18,922 0 20 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 404 12,662 0 11 Dec 2014