Imagen de Portada

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Harun, Md Yousuf, Lee, Kyungbok, Gallardo, Jhair, Krishnan, Giri, Kanan, Christopher
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GRASP: A Rehearsal Policy for Efficient Online Continual Learning
por: Harun, Md Yousuf, et al.
Publicado: (2023)

Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
por: Harun, Md Yousuf, et al.
Publicado: (2025)

Overcoming the Stability Gap in Continual Learning
por: Harun, Md Yousuf, et al.
Publicado: (2023)

A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
por: Harun, Md Yousuf, et al.
Publicado: (2025)

Improving Multimodal Large Language Models Using Continual Learning
por: Srivastava, Shikhar, et al.
Publicado: (2024)

Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
por: Chen, Junyu, et al.
Publicado: (2026)

Are Bias Mitigation Techniques for Deep Learning Effective?
por: Shrestha, Robik, et al.
Publicado: (2021)

Audio Visual Segmentation Through Text Embeddings
por: Lee, Kyungbok, et al.
Publicado: (2025)

Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
por: Viviers, Christiaan, et al.
Publicado: (2024)

Generalized Out-of-Distribution Detection: A Survey
por: Yang, Jingkang, et al.
Publicado: (2021)

Concept Matching with Agent for Out-of-Distribution Detection
por: Lee, Yuxiao, et al.
Publicado: (2024)

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
por: Miyai, Atsuyuki, et al.
Publicado: (2024)

LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
por: Shi, Jia, et al.
Publicado: (2024)

Generative Models: What Do They Know? Do They Know Things? Let's Find Out!
por: Du, Xiaodan, et al.
Publicado: (2023)

Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
por: Hoang, Cuong Manh, et al.
Publicado: (2025)

Energy Correction Model in the Feature Space for Out-of-Distribution Detection
por: Lafon, Marc, et al.
Publicado: (2024)

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
por: Bellier, Georges Le, et al.
Publicado: (2024)

Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
por: Rahman, Md Ashikur, et al.
Publicado: (2026)

Logit Scaling for Out-of-Distribution Detection
por: Djurisic, Andrija, et al.
Publicado: (2024)

Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition
por: Wu, Tian-Shuang, et al.
Publicado: (2025)

Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
por: Zhou, Andy, et al.
Publicado: (2023)

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
por: Yu, Geng, et al.
Publicado: (2024)

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
por: Bai, Haoyue
Publicado: (2024)

On the Out-Of-Distribution Generalization of Multimodal Large Language Models
por: Zhang, Xingxuan, et al.
Publicado: (2024)

IBiT: Utilizing Inductive Biases to Create a More Data Efficient Attention Mechanism
por: Giri, Adithya
Publicado: (2025)

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
por: Li, Jinning, et al.
Publicado: (2024)

Non-Linear Outlier Synthesis for Out-of-Distribution Detection
por: Doorenbos, Lars, et al.
Publicado: (2024)

Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
por: Galesso, Silvio, et al.
Publicado: (2024)

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
por: Guille-Escuret, Charles, et al.
Publicado: (2023)

Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
por: Wang, Yingsheng, et al.
Publicado: (2025)

Learning Multi-Manifold Embedding for Out-Of-Distribution Detection
por: Li, Jeng-Lin, et al.
Publicado: (2024)

Advancing Out-of-Distribution Detection via Local Neuroplasticity
por: Canevaro, Alessandro, et al.
Publicado: (2025)

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
por: Dong, Hao, et al.
Publicado: (2024)

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
por: Xu, Chenhui, et al.
Publicado: (2024)

Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
por: Gupta, Srishti, et al.
Publicado: (2025)

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
por: Ekim, Burak, et al.
Publicado: (2024)

Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
por: Zhdanov, Maksim, et al.
Publicado: (2023)

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
por: Doorenbos, Lars, et al.
Publicado: (2024)

Pretrained Reversible Generation as Unsupervised Visual Representation Learning
por: Xue, Rongkun, et al.
Publicado: (2024)

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
por: Zhou, Mingyuan, et al.
Publicado: (2024)