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Functional Anomaly Detection: a Benchmark Study

Functional Anomaly Detection: a Benchmark Study

International Journal of Data Science and Analysis (JDSA), 2022
13 January 2022
Guillaume Staerman
E. Adjakossa
Pavlo Mozharovskyi
V. Hofer
J. Gupta
Nathan Huet
ArXiv (abs)PDFHTMLGithub

Papers citing "Functional Anomaly Detection: a Benchmark Study"

9 / 9 papers shown
Preventing Model Collapse in Deep Canonical Correlation Analysis by
  Noise Regularization
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise RegularizationNeural Information Processing Systems (NeurIPS), 2024
Junlin He
Jinxiao Du
Susu Xu
Wei Ma
250
2
0
01 Nov 2024
Signature Isolation Forest
Signature Isolation Forest
Guillaume Staerman
M. Campi
Gareth W. Peters
Tomoko Matsui
846
2
0
07 Mar 2024
Fast kernel half-space depth for data with non-convex supports
Fast kernel half-space depth for data with non-convex supports
Arturo Castellanos
Pavlo Mozharovskyi
Florence dÁlché-Buc
Hicham Janati
MDE
255
1
0
21 Dec 2023
Toward Stronger Textual Attack Detectors
Toward Stronger Textual Attack DetectorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Pierre Colombo
Marine Picot
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
867
5
0
21 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations
  for Fair Classification
A Novel Information-Theoretic Objective to Disentangle Representations for Fair ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaMLDRL
324
2
0
21 Oct 2023
A Functional Data Perspective and Baseline On Multi-Layer
  Out-of-Distribution Detection
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
632
2
0
06 Jun 2023
Hypothesis Transfer Learning with Surrogate Classification Losses:
  Generalization Bounds through Algorithmic Stability
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic StabilityInternational Conference on Machine Learning (ICML), 2023
Anass Aghbalou
Guillaume Staerman
329
7
0
31 May 2023
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo
Eduardo Dadalto Camara Gomes
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
377
5
0
24 Nov 2022
Learning Disentangled Textual Representations via Statistical Measures
  of Similarity
Learning Disentangled Textual Representations via Statistical Measures of SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
FaMLDRL
433
22
0
07 May 2022
1
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