Cover Image

Activation Subspaces for Out-of-Distribution Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zöngür, Barış, Hesse, Robin, Roth, Stefan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What is Missing? Explaining Neurons Activated by Absent Concepts
by: Hesse, Robin, et al.
Published: (2026)

Benchmarking the Attribution Quality of Vision Models
by: Hesse, Robin, et al.
Published: (2024)

Disentangling Polysemantic Channels in Convolutional Neural Networks
by: Hesse, Robin, et al.
Published: (2025)

Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
by: Hesse, Robin, et al.
Published: (2025)

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
by: Wallin, Erik, et al.
Published: (2024)

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
by: Ji, Yingrui, 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)

Out-of-Distribution Detection with Relative Angles
by: Demirel, Berker, et al.
Published: (2024)

Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)

Out-Of-Distribution Detection with Diversification (Provably)
by: Yao, Haiyun, et al.
Published: (2024)

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball
by: Weber, Simon, et al.
Published: (2024)

Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)

Vendi Novelty Scores for Out-of-Distribution Detection
by: Pasarkar, Amey P., et al.
Published: (2026)

Ranked Activation Shift for Post-Hoc Out-of-Distribution Detection
by: Guglielmo, Gianluca, et al.
Published: (2026)

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection
by: Suhail, Pirzada, et al.
Published: (2025)

Hypercone Assisted Contour Generation for Out-of-Distribution Detection
by: Vapsi, Annita, et al.
Published: (2025)

Toward a Realistic Benchmark for Out-of-Distribution Detection
by: Recalcati, Pietro, et al.
Published: (2024)

Energy-based Hopfield Boosting for Out-of-Distribution Detection
by: Hofmann, Claus, et al.
Published: (2024)

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
by: Doorenbos, Lars, et al.
Published: (2024)

Are We Ready for Out-of-Distribution Detection in Digital Pathology?
by: Oh, Ji-Hun, et al.
Published: (2024)

NODI: Out-Of-Distribution Detection with Noise from Diffusion
by: Zhou, Jingqiu, et al.
Published: (2024)

Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
by: Xu, Haonan, et al.
Published: (2026)

Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport
by: Feng, Chuanwen, et al.
Published: (2024)

Subspace-Boosted Model Merging
by: Skorobogat, Ronald, et al.
Published: (2025)

OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
by: Yang, Yifeng, et al.
Published: (2025)

NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
by: Chhetri, Anju, et al.
Published: (2025)

Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
by: Ding, Yifan, et al.
Published: (2025)

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection
by: Orglmeister, Conrad, et al.
Published: (2025)

Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
by: Zohrabi, Reihaneh, et al.
Published: (2025)

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
by: Henriksson, Jens, et al.
Published: (2024)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
by: Nguyen, Quang-Huy, et al.
Published: (2024)

Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
by: LeVine, Will, et al.
Published: (2024)

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
by: Lendering, Camile, et al.
Published: (2026)

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
by: Kösel, Michael, et al.
Published: (2024)

GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
by: Seleznova, Mariia, et al.
Published: (2025)

Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
by: Järve, Joonas, et al.
Published: (2025)

Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
by: Feng, Shuai, et al.
Published: (2025)

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
by: Gutbrod, Max, et al.
Published: (2025)

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
by: Wu, Yingwen, et al.
Published: (2024)