Understanding the limitations of self-supervised learning for tabular anomaly detection

15 September 2023

Papers citing "Understanding the limitations of self-supervised learning for tabular anomaly detection"

5 / 5 papers shown

Title
Anomaly Detection Requires Better Representations Tal Reiss Niv Cohen Eliahu Horwitz Ron Abutbul Yedid Hoshen OOD AI4TS SSL 44 21 0 19 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 57 48 0 27 Sep 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021