Image de couverture de livre

UniOD: A Universal Model for Outlier Detection across Diverse Domains

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fu, Dazhi, Fan, Jicong
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CLUBench: A Clustering Benchmark
par: Xiao, Feng, et autres
Publié: (2026)

GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning
par: Feng, Qi, et autres
Publié: (2026)

Subject Information Extraction for Novelty Detection with Domain Shifts
par: Qu, Yangyang, et autres
Publié: (2025)

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
par: Herurkar, Dayananda, et autres
Publié: (2024)

An Interdisciplinary and Cross-Task Review on Missing Data Imputation
par: Fan, Jicong
Publié: (2025)

PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
par: Chen, Sihan, et autres
Publié: (2024)

Fairness-aware Anomaly Detection via Fair Projection
par: Xiao, Feng, et autres
Publié: (2025)

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
par: Xiao, Feng, et autres
Publié: (2025)

Mutual Regression Distance
par: Qiao, Dong, et autres
Publié: (2025)

Multi-Subspace Matrix Recovery from Permuted Data
par: Xie, Liangqi, et autres
Publié: (2024)

Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation
par: Dai, Wei, et autres
Publié: (2024)

DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
par: Jiang, Zhenhao, et autres
Publié: (2024)

Graph Classification via Reference Distribution Learning: Theory and Practice
par: Wang, Zixiao, et autres
Publié: (2024)

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
par: Jiang, Wenyu, et autres
Publié: (2023)

Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
par: Ding, Zeyang, et autres
Publié: (2026)

Deep Orthogonal Hypersphere Compression for Anomaly Detection
par: Zhang, Yunhe, et autres
Publié: (2023)

Non-Convex Tensor Recovery from Local Measurements
par: Wu, Tongle, et autres
Publié: (2024)

Spectral Clustering for Discrete Distributions
par: Wang, Zixiao, et autres
Publié: (2024)

K-means Derived Unsupervised Feature Selection using Improved ADMM
par: Sun, Ziheng, et autres
Publié: (2024)

Federated t-SNE and UMAP for Distributed Data Visualization
par: Qiao, Dong, et autres
Publié: (2024)

Efficient Generation of Hidden Outliers for Improved Outlier Detection
par: Cribeiro-Ramallo, Jose, et autres
Publié: (2024)

Medical Test-free Disease Detection Based on Big Data
par: Zhao, Haokun, et autres
Publié: (2025)

Kernel Outlier Detection
par: Dağıdır, Can Hakan, et autres
Publié: (2025)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
par: Campos, David, et autres
Publié: (2021)

UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
par: Wang, Duo, et autres
Publié: (2025)

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
par: Ghosh, Kushankur, et autres
Publié: (2024)

Deep Transductive Outlier Detection
par: Klüttermann, Simon, et autres
Publié: (2024)

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
par: Huang, Yihong, et autres
Publié: (2022)

GraphProp: Training the Graph Foundation Models using Graph Properties
par: Sun, Ziheng, et autres
Publié: (2025)

Outlier Detection with Cluster Catch Digraphs
par: Shi, Rui, et autres
Publié: (2024)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
par: Wang, Xudong, et autres
Publié: (2025)

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
par: Hur, Kyunghoon, et autres
Publié: (2022)

GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient
par: Zhang, Yuang, et autres
Publié: (2024)

EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy
par: Huang, Yihong, et autres
Publié: (2024)

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
par: Cao, Chentao, et autres
Publié: (2024)

UniPredict: Large Language Models are Universal Tabular Classifiers
par: Wang, Ruiyu, et autres
Publié: (2023)

Explainable Graph Representation Learning via Graph Pattern Analysis
par: Wang, Xudong, et autres
Publié: (2025)

Transfer Neyman-Pearson Algorithm for Outlier Detection
par: Kalan, Mohammadreza M., et autres
Publié: (2025)

Comparison of Outlier Detection Algorithms on String Data
par: Maus, Philip
Publié: (2026)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
par: van der Wal, Oskar, et autres
Publié: (2025)