conftrace_

out-of-distribution detection

617 papers

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Also known as

OODD OOD DETECTION

Co-occurring keywords

uncertainty quantification (1393) distribution shift (722) uncertainty estimation (648) anomaly detection (747) neural network (6616) ood detection (45) generative model (2892) representation learning (6206) domain generalization (1522) contrastive learning (4032)

Papers

Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract) AAAI 2026

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research WACV 2026

Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment AAAI 2026

Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026

WiSE-OD: Benchmarking Robustness in Infrared Object Detection WACV 2026

Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026

Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026

HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026

Shaping Parameter Contribution Patterns for Out-of-Distribution Detection AAAI 2026

GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026

Teach AI What It Doesn’t Know AAAI 2026

Advancing Out-of-Distribution Detection Across Diverse Scenarios AAAI 2026

Crash2DocAI: Automated Integration of Post-Crash Car Part Images into Technical Reports WACV 2026

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026

Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? WACV 2026

Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026

A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment AAAI 2026

Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models AAAI 2026

From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026

Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026

Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? AAAI 2026