NECO: NEural Collapse Based Out-of-distribution detection
Fuente:
arXiv
Saved in:
| Main Authors: | Ammar, Mouïn Ben, Belkhir, Nacim, Popescu, Sebastian, Manzanera, Antoine, Franchi, Gianni |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Foundation Models and Transformers for Anomaly Detection: A Survey
by: Ammar, Mouïn Ben, et al.
Published: (2025)
by: Ammar, Mouïn Ben, et al.
Published: (2025)
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
by: Ammar, Mouïn Ben, et al.
Published: (2024)
by: Ammar, Mouïn Ben, et al.
Published: (2024)
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
by: Franchi, Gianni, et al.
Published: (2024)
by: Franchi, Gianni, et al.
Published: (2024)
From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift
by: Gabetni, Firas, et al.
Published: (2026)
by: Gabetni, Firas, et al.
Published: (2026)
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
by: Humblot-Renaux, Galadrielle, et al.
Published: (2025)
by: Humblot-Renaux, Galadrielle, et al.
Published: (2025)
Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs
by: Chorna, Sofiia, et al.
Published: (2025)
by: Chorna, Sofiia, et al.
Published: (2025)
A Geometric Unification of Concept Learning with Concept Cones
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)
by: Rocchi--Henry, Alexandre, et al.
Published: (2025)
SS3D: End2End Self-Supervised 3D from Web Videos
by: Hariat, Marwane, et al.
Published: (2026)
by: Hariat, Marwane, et al.
Published: (2026)
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
by: Xia, Guoxuan, et al.
Published: (2024)
by: Xia, Guoxuan, et al.
Published: (2024)
A Geometric Multimodal Foundation Model Integrating Bp-MRI and Clinical Reports in Prostate Cancer Classification
by: Olmos, Juan A., et al.
Published: (2026)
by: Olmos, Juan A., et al.
Published: (2026)
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories
by: Cheng, Hongzhe, et al.
Published: (2025)
by: Cheng, Hongzhe, et al.
Published: (2025)
Open-set object detection: towards unified problem formulation and benchmarking
by: Ammar, Hejer, et al.
Published: (2024)
by: Ammar, Hejer, 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)
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
by: Farina, Matteo, et al.
Published: (2024)
by: Farina, Matteo, et al.
Published: (2024)
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)
Recommendation of data-free class-incremental learning algorithms by simulating future data
by: Feillet, Eva, et al.
Published: (2024)
by: Feillet, Eva, et al.
Published: (2024)
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
by: Saralajew, Sascha, et al.
Published: (2024)
by: Saralajew, Sascha, et al.
Published: (2024)
Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection
by: Franchi, Matt, et al.
Published: (2025)
by: Franchi, Matt, et al.
Published: (2025)
Understanding vision transformer robustness through the lens of out-of-distribution detection
by: Kuang, Joey, et al.
Published: (2026)
by: Kuang, Joey, et al.
Published: (2026)
A Closer Look at Multimodal Representation Collapse
by: Chaudhuri, Abhra, et al.
Published: (2025)
by: Chaudhuri, Abhra, et al.
Published: (2025)
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
by: Kahya, Sabri Mustafa, et al.
Published: (2025)
by: Kahya, Sabri Mustafa, et al.
Published: (2025)
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
by: LIN, Frédéric, et al.
Published: (2025)
by: LIN, Frédéric, et al.
Published: (2025)
MaxSup: Overcoming Representation Collapse in Label Smoothing
by: Zhou, Yuxuan, et al.
Published: (2025)
by: Zhou, Yuxuan, et al.
Published: (2025)
Memory-efficient Continual Learning with Neural Collapse Contrastive
by: Dang, Trung-Anh, et al.
Published: (2024)
by: Dang, Trung-Anh, et al.
Published: (2024)
On Partial Prototype Collapse in the DINO Family of Self-Supervised Methods
by: Govindarajan, Hariprasath, et al.
Published: (2024)
by: Govindarajan, Hariprasath, et al.
Published: (2024)
EOOD: Entropy-based Out-of-distribution Detection
by: Yang, Guide, et al.
Published: (2025)
by: Yang, Guide, et al.
Published: (2025)
Logit Scaling for Out-of-Distribution Detection
by: Djurisic, Andrija, et al.
Published: (2024)
by: Djurisic, Andrija, et al.
Published: (2024)
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
by: Shen, Zhiqiang, et al.
Published: (2024)
by: Shen, Zhiqiang, 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)
Concept Matching with Agent for Out-of-Distribution Detection
by: Lee, Yuxiao, et al.
Published: (2024)
by: Lee, Yuxiao, et al.
Published: (2024)
Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse
by: Zhang, Zegu, et al.
Published: (2026)
by: Zhang, Zegu, et al.
Published: (2026)
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)
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)
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
by: Wang, Yingsheng, et al.
Published: (2025)
by: Wang, Yingsheng, et al.
Published: (2025)
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)
Advancing Out-of-Distribution Detection via Local Neuroplasticity
by: Canevaro, Alessandro, et al.
Published: (2025)
by: Canevaro, Alessandro, et al.
Published: (2025)
Mitigating Catastrophic Forgetting and Mode Collapse in Text-to-Image Diffusion via Latent Replay
by: Otani, Aoi
Published: (2025)
by: Otani, Aoi
Published: (2025)
Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations
by: Saikumar, Dhananjay, et al.
Published: (2025)
by: Saikumar, Dhananjay, et al.
Published: (2025)
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
by: Zhdanov, Maksim, et al.
Published: (2023)
by: Zhdanov, Maksim, et al.
Published: (2023)
Similar Items
-
Foundation Models and Transformers for Anomaly Detection: A Survey
by: Ammar, Mouïn Ben, et al.
Published: (2025) -
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
by: Ammar, Mouïn Ben, et al.
Published: (2024) -
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
by: Franchi, Gianni, et al.
Published: (2024) -
From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift
by: Gabetni, Firas, et al.
Published: (2026) -
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
by: Humblot-Renaux, Galadrielle, et al.
Published: (2025)