conftrace_

out-of-distribution detection

617 papers

Explore in graph

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

Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025
Detecting Out-of-Distribution Through the Lens of Neural Collapse CVPR 2025
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition ICCV 2025
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NIPS 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model NIPS 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NIPS 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024
Universal Novelty Detection Through Adaptive Contrastive Learning CVPR 2024
MAGE: Machine-generated Text Detection in the Wild ACL 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NIPS 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition INTERSPEECH 2024
On the Learnability of Out-of-distribution Detection JMLR 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification INTERSPEECH 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection NIPS 2024
Distance-aware Calibration for Pre-trained Language Models EMNLP 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection AAAI 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Benchmarking Out-of-Distribution Detection in Visual Question Answering WACV 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024