Functional Anomaly Detection: a Benchmark Study

13 January 2022

Papers citing "Functional Anomaly Detection: a Benchmark Study"

9 / 9 papers shown

Title
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization Junlin He Jinxiao Du Susu Xu Wei Ma 26 0 0 01 Nov 2024
Signature Isolation Forest Guillaume Staerman M. Campi Gareth W. Peters Tomoko Matsui 53 0 0 07 Mar 2024
Fast kernel half-space depth for data with non-convex supports Arturo Castellanos Pavlo Mozharovskyi Florence dÁlché-Buc Hicham Janati MDE 17 0 0 21 Dec 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 51 5 0 21 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification Pierre Colombo Nathan Noiry Guillaume Staerman Pablo Piantanida FaML DRL 38 1 0 21 Oct 2023
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 33 2 0 06 Jun 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability Anass Aghbalou Guillaume Staerman 14 4 0 31 May 2023
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 52 5 0 24 Nov 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 38 22 0 07 May 2022