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

Out-of-Distribution Detection by Regaining Lost Clues (Abstract Reprint) IJCAI 2025
OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025
Error Detection for Multimodal Classification NAACL 2025
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks AAAI 2025
ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection under Domain Shift WACV 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data IJCAI 2025
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection EMNLP 2025
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning IJCAI 2025
Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps IJCAI 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 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
D^3: Scaling Up Deepfake Detection by Learning from Discrepancy CVPR 2025
‘No’ Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF ACL 2025
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025
PROOD: A Simple LLM Out-of-Distribution Guardrail Leveraging Response Semantics EMNLP 2025
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations CVPR 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025
Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection CVPR 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models EMNLP 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection ICCV 2025