ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.04572
  4. Cited By
Out-of-Distribution Detection Using Neural Rendering Generative Models

Out-of-Distribution Detection Using Neural Rendering Generative Models

10 July 2019
Yujia Huang
Sihui Dai
T. Nguyen
Richard G. Baraniuk
Anima Anandkumar
    OODD
ArXivPDFHTML

Papers citing "Out-of-Distribution Detection Using Neural Rendering Generative Models"

11 / 11 papers shown
Title
Hybrid Models with Deep and Invertible Features
Hybrid Models with Deep and Invertible Features
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
BDL
DRL
55
99
0
07 Feb 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
112
1,468
0
11 Dec 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
46
753
0
22 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
Hyun-Jae Choi
Eric Jang
Alexander A. Alemi
OODD
50
82
0
02 Oct 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate
  Time Series
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li
Dacheng Chen
Jonathan Goh
See-kiong Ng
AI4TS
45
296
0
13 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
210
3,110
0
09 Jul 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
32
560
0
17 Feb 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
197
5,774
0
14 Jun 2017
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
174
4,653
0
21 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
207
8,351
0
28 Nov 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
321
15,825
0
12 Nov 2013
1