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Invariant Anomaly Detection under Distribution Shifts: A Causal
  Perspective

Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective

21 December 2023
João B. S. Carvalho
Mengtao Zhang
Robin Geyer
C. Jiménez
J. M. Buhmann
ArXivPDFHTML

Papers citing "Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective"

7 / 7 papers shown
Title
Subject Information Extraction for Novelty Detection with Domain Shifts
Subject Information Extraction for Novelty Detection with Domain Shifts
Yangyang Qu
Dazhi Fu
Jicong Fan
OOD
56
0
0
30 Apr 2025
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
16
4
0
06 Oct 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
118
32
0
04 Jul 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
135
73
0
12 Sep 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the
  Presence of Shortcut and Generalization Opportunities
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
Elias Eulig
Piyapat Saranrittichai
Chaithanya Kumar Mummadi
K. Rambach
William H. Beluch
Xiahan Shi
Volker Fischer
133
11
0
12 Aug 2021
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
198
163
0
18 Oct 2019
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