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. 1802.10560
  4. Cited By
Novelty Detection with GAN

Novelty Detection with GAN

28 February 2018
M. Kliger
S. Fleishman
ArXivPDFHTML

Papers citing "Novelty Detection with GAN"

26 / 26 papers shown
Title
On the link between generative semi-supervised learning and generative
  open-set recognition
On the link between generative semi-supervised learning and generative open-set recognition
E. Engelbrecht
Johan A. du Preez
GAN
13
2
0
21 Mar 2023
KL Regularized Normalization Framework for Low Resource Tasks
KL Regularized Normalization Framework for Low Resource Tasks
Neeraj Kumar
Ankur Narang
Brejesh Lall
21
1
0
21 Dec 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based
  Novelty Detection and Active Learning
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning
Hao-Chiang Shao
Hsing-Lei Ping
Kuo-shiuan Chen
Weng-Tai Su
Chia-Wen Lin
Shao-Yun Fang
Pin-Yian Tsai
Yan-Hsiu Liu
19
7
0
24 Jan 2022
Enhanced Isotropy Maximization Loss: Seamless and High-Performance
  Out-of-Distribution Detection Simply Replacing the SoftMax Loss
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss
David Macêdo
Teresa B Ludermir
OODD
19
12
0
30 May 2021
Word-level Human Interpretable Scoring Mechanism for Novel Text
  Detection Using Tsetlin Machines
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
Bimal Bhattarai
Ole-Christoffer Granmo
Lei Jiao
31
20
0
10 May 2021
Unsupervised Class-Incremental Learning Through Confusion
Unsupervised Class-Incremental Learning Through Confusion
Shivam Khare
Kun Cao
James M. Rehg
SSL
CLL
11
6
0
09 Apr 2021
Towards creativity characterization of generative models via group-based
  subset scanning
Towards creativity characterization of generative models via group-based subset scanning
C. Cintas
Payel Das
Brian Quanz
Skyler Speakman
Victor Akinwande
Pin-Yu Chen
14
11
0
01 Apr 2021
Comparison of Anomaly Detectors: Context Matters
Comparison of Anomaly Detectors: Context Matters
V. Škvára
Jan Francå
Matěj Zorek
Tomás Pevný
Václav Smídl
6
9
0
11 Dec 2020
$\ell_p$-Norm Multiple Kernel One-Class Fisher Null-Space
ℓp\ell_pℓp​-Norm Multiple Kernel One-Class Fisher Null-Space
Shervin Rahimzadeh Arashloo
8
0
0
19 Aug 2020
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Masoumeh Zareapoor
Pourya Shamsolmoali
Jie Yang
25
98
0
07 Aug 2020
Imbalanced Data Learning by Minority Class Augmentation using Capsule
  Adversarial Networks
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali
Masoumeh Zareapoor
Linlin Shen
A. Sadka
Jie Yang
GAN
MedIm
6
65
0
05 Apr 2020
Image-based OoD-Detector Principles on Graph-based Input Data in Human
  Action Recognition
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition
Jens Bayer
David Münch
Michael Arens
11
0
0
03 Mar 2020
Unsupervised Out-of-Distribution Detection with Batch Normalization
Unsupervised Out-of-Distribution Detection with Batch Normalization
Jiaming Song
Yang Song
Stefano Ermon
OODD
12
22
0
21 Oct 2019
Out-of-domain Detection for Natural Language Understanding in Dialog
  Systems
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
Yinhe Zheng
Guanyi Chen
Minlie Huang
18
121
0
09 Sep 2019
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and
  Time-Evolving Categorical Data
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Zheng Gao
Lin Guo
Chi Ma
Xiao Ma
Kai Sun
Hang Xiang
Xiaoqiang Zhu
Hongsong Li
Xiaozhong Liu
17
5
0
12 Jul 2019
Outlier Exposure with Confidence Control for Out-of-Distribution
  Detection
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
Aristotelis-Angelos Papadopoulos
Mohammad Reza Rajati
Nazim Shaikh
Jiamian Wang
OODD
14
1
0
08 Jun 2019
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Chieh-Hsin Lai
Dongmian Zou
Gilad Lerman
UQCV
12
58
0
30 Mar 2019
The Importance of Metric Learning for Robotic Vision: Open Set
  Recognition and Active Learning
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning
Benjamin J. Meyer
Tom Drummond
9
33
0
27 Feb 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
22
1,475
0
10 Jan 2019
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
27
17
0
06 Dec 2018
Anomaly Detection With Multiple-Hypotheses Predictions
Anomaly Detection With Multiple-Hypotheses Predictions
D. Nguyen
Zhongyu Lou
Michael Klar
Thomas Brox
17
1
0
31 Oct 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors
A Less Biased Evaluation of Out-of-distribution Sample Detectors
Alireza Shafaei
Mark W. Schmidt
James J. Little
OODD
19
58
0
13 Sep 2018
Uncertainty in the Variational Information Bottleneck
Uncertainty in the Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
15
96
0
02 Jul 2018
q-Space Novelty Detection with Variational Autoencoders
q-Space Novelty Detection with Variational Autoencoders
A. Vasilev
Vladimir Golkov
Marc Meissner
I. Lipp
Eleonora Sgarlata
V. Tomassini
Derek K. Jones
Daniel Cremers
DRL
12
59
0
08 Jun 2018
Detecting Anomalous Faces with Ño Peeking' Autoencoders
Detecting Anomalous Faces with Ño Peeking' Autoencoders
Anand Bhattad
Jason Rock
David A. Forsyth
CVBM
15
15
0
15 Feb 2018
Safer Classification by Synthesis
Safer Classification by Synthesis
William Wang
Angelina Wang
Aviv Tamar
Xi Chen
Pieter Abbeel
21
41
0
22 Nov 2017
1