TracInAD: Measuring Influence for Anomaly Detection

3 May 2022

Papers citing "TracInAD: Measuring Influence for Anomaly Detection"

7 / 7 papers shown

Title
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques A. Verdone A. Devoto C. Sebastiani J. Carmignani M. D’Onofrio S. Giagu S. Scardapane M. Panella 49 0 0 20 Jul 2024
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan Fabrice Daniel 27 6 0 21 Dec 2023
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 48 8 0 27 Oct 2023
Representer Point Selection for Explaining Regularized High-dimensional Models Che-Ping Tsai Jiong Zhang Eli Chien Hsiang-Fu Yu Cho-Jui Hsieh Pradeep Ravikumar 23 2 0 31 May 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 23 5 0 24 May 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 83 0 09 Dec 2022
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 29 35 0 24 Jan 2020