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

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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 35 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 96 141 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 85 330 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 1,355 0 20 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 147 732 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 240 999 0 01 Apr 2019
Extended Isolation Forest Li Tang Konstantinos Konstantinidis R. Brunner 148 290 0 06 Nov 2018

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