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

Extending Temperature Scaling with Homogenizing Maps JMLR 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection IJCAI 2025
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks AAAI 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data IJCAI 2025
Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint) IJCAI 2025
Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection ICCV 2025
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection ICCV 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey NAACL 2025
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection WACV 2025
Error Detection for Multimodal Classification NAACL 2025
How to Generalize the Detection of AI-Generated Text: Confounding Neurons EMNLP 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025
Things Machine Learning Models Know That They Don’t Know AAAI 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps IJCAI 2025
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection WACV 2025
Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models EMNLP 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025
Prototype-based Optimal Transport for Out-of-Distribution Detection IJCAI 2025
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025