Cover Image

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Suhail, Pirzada, Afroz, Rehna, Bala, Gouranga, Sethi, Amit
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

TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection
by: Suhail, Pirzada, et al.
Published: (2025)

Network Inversion of Convolutional Neural Nets
by: Suhail, Pirzada, et al.
Published: (2024)

Network Inversion for Generating Confidently Classified Counterfeits
by: Suhail, Pirzada, et al.
Published: (2025)

Network Inversion and Its Applications
by: Suhail, Pirzada, et al.
Published: (2024)

Network Inversion for Training-Like Data Reconstruction
by: Suhail, Pirzada, et al.
Published: (2024)

Privacy Preserving Properties of Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

Activation Matching for Explanation Generation
by: Suhail, Pirzada, et al.
Published: (2025)

Shortcut Learning Susceptibility in Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
by: Bala, Gouranga, et al.
Published: (2024)

Med-CAM: Minimal Evidence for Explaining Medical Decision Making
by: Suhail, Pirzada, et al.
Published: (2026)

Network Inversion of Binarised Neural Nets
by: Suhail, Pirzada, et al.
Published: (2024)

Mix, Align, Distil: Reliable Cross-Domain Atypical Mitosis Classification
by: Atey, Kaustubh, et al.
Published: (2025)

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

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation
by: Shojaei, Hanieh, et al.
Published: (2024)

When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)

Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty
by: Brosch, Arnold, et al.
Published: (2025)

Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
by: Miandashti, Hanieh Shojaei, et al.
Published: (2025)

Activation Subspaces for Out-of-Distribution Detection
by: Zöngür, Barış, 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)

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)

Conditional Uncertainty-Aware Political Deepfake Detection with Stochastic Convolutional Neural Networks
by: Gardoş, Rafael-Petruţ
Published: (2026)

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)

Uncertainty-Aware Decomposed Hybrid Networks
by: Ditzel, Sina, et al.
Published: (2025)

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
by: Lambert, Benjamin, et al.
Published: (2022)

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

Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles
by: Guo, Tongfei, 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)

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