Concept Matching with Agent for Out-of-Distribution Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Yuxiao, Cao, Xiaofeng, Guo, Jingcai, Ye, Wei, Guo, Qing, Chang, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
by: Li, Jeng-Lin, et al.
Published: (2024)
by: Li, Jeng-Lin, et al.
Published: (2024)
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
by: Ye, Yinyu, et al.
Published: (2024)
by: Ye, Yinyu, et al.
Published: (2024)
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)
by: Bai, Yichen, et al.
Published: (2023)
Logit Scaling for Out-of-Distribution Detection
by: Djurisic, Andrija, et al.
Published: (2024)
by: Djurisic, Andrija, et al.
Published: (2024)
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)
by: Yang, Jingkang, et al.
Published: (2021)
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
by: Bai, Sikai, et al.
Published: (2024)
by: Bai, Sikai, et al.
Published: (2024)
Non-Linear Outlier Synthesis for Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
by: Galesso, Silvio, et al.
Published: (2024)
by: Galesso, Silvio, et al.
Published: (2024)
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
by: Guille-Escuret, Charles, et al.
Published: (2023)
by: Guille-Escuret, Charles, et al.
Published: (2023)
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
by: Wang, Yingsheng, et al.
Published: (2025)
by: Wang, Yingsheng, et al.
Published: (2025)
Advancing Out-of-Distribution Detection via Local Neuroplasticity
by: Canevaro, Alessandro, et al.
Published: (2025)
by: Canevaro, Alessandro, et al.
Published: (2025)
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
by: Miyai, Atsuyuki, et al.
Published: (2024)
by: Miyai, Atsuyuki, et al.
Published: (2024)
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
by: Dong, Hao, et al.
Published: (2024)
by: Dong, Hao, et al.
Published: (2024)
Energy Correction Model in the Feature Space for Out-of-Distribution Detection
by: Lafon, Marc, et al.
Published: (2024)
by: Lafon, Marc, et al.
Published: (2024)
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
by: Bellier, Georges Le, et al.
Published: (2024)
by: Bellier, Georges Le, et al.
Published: (2024)
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
by: Xu, Chenhui, et al.
Published: (2024)
by: Xu, Chenhui, et al.
Published: (2024)
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
by: Gupta, Srishti, et al.
Published: (2025)
by: Gupta, Srishti, et al.
Published: (2025)
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
by: Ekim, Burak, et al.
Published: (2024)
by: Ekim, Burak, et al.
Published: (2024)
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
by: Zhdanov, Maksim, et al.
Published: (2023)
by: Zhdanov, Maksim, et al.
Published: (2023)
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)
by: Doorenbos, Lars, et al.
Published: (2024)
Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)
by: Lee, Jeongjae, et al.
Published: (2026)
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
by: Viviers, Christiaan, et al.
Published: (2024)
by: Viviers, Christiaan, et al.
Published: (2024)
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)
by: Yu, Geng, et al.
Published: (2024)
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
by: Novello, Paul, et al.
Published: (2024)
by: Novello, Paul, et al.
Published: (2024)
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
by: Chang, Wonjoon, et al.
Published: (2023)
by: Chang, Wonjoon, et al.
Published: (2023)
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
by: Wu, Tian-Shuang, et al.
Published: (2025)
by: Wu, Tian-Shuang, et al.
Published: (2025)
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
by: Harun, Md Yousuf, et al.
Published: (2024)
by: Harun, Md Yousuf, et al.
Published: (2024)
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
by: Li, Jiawei, et al.
Published: (2024)
by: Li, Jiawei, et al.
Published: (2024)
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
by: Genç, Furkan, et al.
Published: (2026)
by: Genç, Furkan, et al.
Published: (2026)
Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
by: Hoang, Cuong Manh, et al.
Published: (2025)
by: Hoang, Cuong Manh, et al.
Published: (2025)
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
by: Chang, Jinho, et al.
Published: (2024)
by: Chang, Jinho, et al.
Published: (2024)
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
by: Sayem, Faizul Rakib, et al.
Published: (2025)
by: Sayem, Faizul Rakib, et al.
Published: (2025)
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
by: Lee, Yuxiao, et al.
Published: (2025)
by: Lee, Yuxiao, et al.
Published: (2025)
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
by: Kwon, Gihyun, et al.
Published: (2024)
by: Kwon, Gihyun, et al.
Published: (2024)
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
by: Guo, Liangxuan, et al.
Published: (2023)
by: Guo, Liangxuan, et al.
Published: (2023)
CMOOD: Concept-based Multi-label OOD Detection
by: Liu, Zhendong, et al.
Published: (2024)
by: Liu, Zhendong, et al.
Published: (2024)
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
by: Liu, Moru, et al.
Published: (2025)
by: Liu, Moru, et al.
Published: (2025)
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
by: Constantinou, Christos, et al.
Published: (2024)
by: Constantinou, Christos, et al.
Published: (2024)
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
by: Li, Gen, et al.
Published: (2025)
by: Li, Gen, et al.
Published: (2025)
Similar Items
-
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
by: Li, Jeng-Lin, et al.
Published: (2024) -
TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
by: Ye, Yinyu, et al.
Published: (2024) -
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023) -
Logit Scaling for Out-of-Distribution Detection
by: Djurisic, Andrija, et al.
Published: (2024) -
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)