Cover Image

Enhancing OOD Detection Using Latent Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Heng, Li, Jun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting OOD Samples via Optimal Transport Scoring Function
by: Gao, Heng, et al.
Published: (2025)

MetaOOD: Automatic Selection of OOD Detection Models
by: Qin, Yuehan, et al.
Published: (2024)

The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces
by: Bomatter, Philipp, et al.
Published: (2026)

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
by: Xu, Haoyan, et al.
Published: (2025)

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
by: Shen, Xu, et al.
Published: (2024)

M3OOD: Automatic Selection of Multimodal OOD Detectors
by: Qin, Yuehan, et al.
Published: (2025)

What If the Input is Expanded in OOD Detection?
by: Zhang, Boxuan, et al.
Published: (2024)

Score Combining for Contrastive OOD Detection
by: Reehorst, Edward T., et al.
Published: (2025)

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models
by: He, Zhixia, et al.
Published: (2024)

Bridging OOD Detection and Generalization: A Graph-Theoretic View
by: Wang, Han, et al.
Published: (2024)

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
by: Jiang, Liangze, et al.
Published: (2024)

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
by: Zhang, Jingyang, et al.
Published: (2023)

AP-OOD: Attention Pooling for Out-of-Distribution Detection
by: Hofmann, Claus, et al.
Published: (2026)

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
by: Zhang, Xudong, et al.
Published: (2026)

Comprehensive OOD Detection Improvements
by: Lakkapragada, Anish, et al.
Published: (2024)

Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data
by: Mondal, Sudeepta, et al.
Published: (2026)

Discriminability-Driven Spatial-Channel Selection with Gradient Norm for Drone Signal OOD Detection
by: Feng, Chuhan, et al.
Published: (2026)

RankOOD -- Class Ranking-based Out-of-Distribution Detection
by: Denipitiyage, Dishanika, et al.
Published: (2025)

A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection
by: Garov, Konstantin, et al.
Published: (2025)

Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
by: Zhang, Xinxun, et al.
Published: (2026)

Backbone-Equated Diffusion OOD via Sparse Internal Snapshots
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)

WeiPer: OOD Detection using Weight Perturbations of Class Projections
by: Granz, Maximilian, et al.
Published: (2024)

DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection
by: Behrouzi, Tina, et al.
Published: (2025)

Latent Schr{ö}dinger Bridge Diffusion Model for Generative Learning
by: Jiao, Yuling, et al.
Published: (2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation
by: Fu, Xingcheng, et al.
Published: (2024)

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
by: Zhang, Bingjie, et al.
Published: (2025)

How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024)

LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
by: Geng, Chuanxing, et al.
Published: (2025)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)

Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI
by: Raonić, Bogdan, et al.
Published: (2025)

General OOD Detection via Model-aware and Subspace-aware Variable Priority
by: Lu, Min, et al.
Published: (2025)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
by: Mao, Yixiu, et al.
Published: (2024)

CMOOD: Concept-based Multi-label OOD Detection
by: Liu, Zhendong, et al.
Published: (2024)

A Simple and Effective Method for Uncertainty Quantification and OOD Detection
by: Ma, Yaxin, et al.
Published: (2025)

MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
by: Wang, Haoliang, et al.
Published: (2024)

Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection
by: Huang, Sicong, et al.
Published: (2024)

Intermediate Layer Classifiers for OOD generalization
by: Uselis, Arnas, et al.
Published: (2025)

Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion
by: Peng, Ningkang, et al.
Published: (2026)

TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress
by: Gungor, Onat, et al.
Published: (2025)

How to Achieve Prototypical Birth and Death for OOD Detection?
by: Peng, Ningkang, et al.
Published: (2026)