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. 2206.15476
  4. Cited By
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly
  Detection
v1v2v3v4 (latest)

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

30 June 2022
Marius Dragoi
Elena Burceanu
Emanuela Haller
Andrei Manolache
Florin Brad
    OOD
ArXiv (abs)PDFHTMLGithub (50★)

Papers citing "AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection"

20 / 20 papers shown
Title
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
118
161
0
16 Jun 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLLVLM
192
93
0
17 Jan 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative
  Distribution Functions
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li
Yue Zhao
Xiyang Hu
N. Botta
C. Ionescu
George H. Chen
92
299
0
02 Jan 2022
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural
  Networks
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge
Bryan Hooi
See Kiong Ng
Wee Siong Ng
62
110
0
10 Dec 2021
Online Continual Learning with Natural Distribution Shifts: An Empirical
  Study with Visual Data
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
Zhipeng Cai
Ozan Sener
V. Koltun
CLL
63
87
0
20 Aug 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and
  Contrastive Pre-Training
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli
Micah Goldblum
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
LMTD
90
333
0
02 Jun 2021
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for
  IoT
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Wai Weng Lo
S. Layeghy
Mohanad Sarhan
M. Gallagher
Marius Portmann
72
204
0
30 Mar 2021
ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network
  Anomaly Detection
ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection
Lei Chen
Shao-En Weng
Chu-Jun Peng
Hong-Han Shuai
Wen-Huang Cheng
30
11
0
08 Mar 2021
Mind the Gap: Assessing Temporal Generalization in Neural Language
  Models
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou
A. Kuncoro
E. Gribovskaya
Devang Agrawal
Adam Liska
...
Sebastian Ruder
Dani Yogatama
Kris Cao
Susannah Young
Phil Blunsom
VLM
134
219
0
03 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
235
1,449
0
14 Dec 2020
COPOD: Copula-Based Outlier Detection
COPOD: Copula-Based Outlier Detection
Zheng Li
Yue Zhao
N. Botta
C. Ionescu
Xiyang Hu
76
287
0
20 Sep 2020
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
130
205
0
07 Feb 2020
Tree-based Intelligent Intrusion Detection System in Internet of
  Vehicles
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Li Yang
Abdallah Moubayed
Ismail Hamieh
Abdallah Shami
47
154
0
18 Oct 2019
TabNet: Attentive Interpretable Tabular Learning
TabNet: Attentive Interpretable Tabular Learning
Sercan O. Arik
Tomas Pfister
LMTD
206
1,361
0
20 Aug 2019
A Survey of Network-based Intrusion Detection Data Sets
A Survey of Network-based Intrusion Detection Data Sets
Markus Ring
Sarah Wunderlich
Deniz Scheuring
Dieter Landes
Andreas Hotho
60
563
0
06 Mar 2019
PyOD: A Python Toolbox for Scalable Outlier Detection
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao
Zain Nasrullah
Zheng Li
95
724
0
06 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
Generative Adversarial Active Learning for Unsupervised Outlier
  Detection
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu
Zhe Li
Chong Zhou
Yuanchun Jiang
Jianshan Sun
Ming Wang
Xiangnan He
58
301
0
28 Sep 2018
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion
  Detection
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky
Tomer Doitshman
Yuval Elovici
A. Shabtai
81
811
0
25 Feb 2018
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
458
16,922
0
20 Dec 2013
1