Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again

Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again

30 January 2024

Fabrice Popineau

Bich-Liên Doan

ArXiv (abs)PDF HTML

Papers citing "Making Parametric Anomaly Detection on Tabular Data Non-Parametric Again"

15 / 15 papers shown

Title
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023 Yu. V. Gorishniy Ivan Rubachev Nikolay Kartashev Daniil Shlenskii Akim Kotelnikov Artem Babenko OOD LMTD 72 15 0 26 Jul 2023
Beyond Individual Input for Deep Anomaly Detection on Tabular Data Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan 60 6 0 24 May 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 118 31 0 15 Mar 2023
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning Xiang Chen Lei Li Ningyu Zhang Xiaozhuan Liang Shumin Deng Chuanqi Tan Fei Huang Luo Si Huajun Chen VLM 62 54 0 29 May 2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation Bill Yuchen Lin Kangmin Tan Chris Miller Beiwen Tian Xiang Ren LRM RALM 66 49 0 17 Apr 2022
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 77 118 0 07 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 96 140 0 04 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 85 328 0 02 Jun 2021
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 117 800 0 24 Sep 2020
COPOD: Copula-Based Outlier Detection Zheng Li Yue Zhao N. Botta C. Ionescu Xiyang Hu 70 286 0 20 Sep 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 82 165 0 28 Feb 2020
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 188 1,353 0 20 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 145 730 0 19 Jul 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 238 996 0 01 Apr 2019
Extended Isolation Forest Li Tang Konstantinos Konstantinidis R. Brunner 148 290 0 06 Nov 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.