Copertina

Logit Scaling for Out-of-Distribution Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Djurisic, Andrija, Liu, Rosanne, Nikolic, Mladen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
di: Ye, Yinyu, et al.
Pubblicazione: (2024)

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

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

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
di: Novello, Paul, et al.
Pubblicazione: (2024)

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
di: Bai, Yichen, et al.
Pubblicazione: (2023)

Engineering an Efficient Object Tracker for Non-Linear Motion
di: Adžemović, Momir, et al.
Pubblicazione: (2024)

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

Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
di: Liu, Moru, et al.
Pubblicazione: (2025)

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
di: Li, Jiawei, et al.
Pubblicazione: (2024)

A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
di: Genç, Furkan, et al.
Pubblicazione: (2026)

Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
di: Sayem, Faizul Rakib, et al.
Pubblicazione: (2025)

From Logits to Hierarchies: Hierarchical Clustering made Simple
di: Palumbo, Emanuele, et al.
Pubblicazione: (2024)

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification
di: Constantinou, Christos, et al.
Pubblicazione: (2024)

Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
di: Ma, Jing, et al.
Pubblicazione: (2022)

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

What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
di: Harun, Md Yousuf, et al.
Pubblicazione: (2024)

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

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

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
di: Qiao, Yu, et al.
Pubblicazione: (2024)

FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
di: Gambella, Matteo, et al.
Pubblicazione: (2024)

EGA: Adapting Frozen Encoders for Vector Search with Bounded Out-of-Distribution Degradation
di: Zhao, Dongfang
Pubblicazione: (2026)

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

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

Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking
di: Adžemović, Momir, et al.
Pubblicazione: (2024)