Cover Image

Uncertainty-Aware Decomposed Hybrid Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ditzel, Sina, Jaziri, Achref, Pliushch, Iuliia, Ramesh, Visvanathan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
by: Jaziri, Achref, et al.
Published: (2023)

A Simple Baseline for Stable and Plastic Neural Networks
by: Künzel, Étienne, et al.
Published: (2025)

Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
by: Jaziri, Achref, et al.
Published: (2024)

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?
by: Flotzinger, Johannes, et al.
Published: (2025)

Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories
by: Jaziri, Achref, et al.
Published: (2025)

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

UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
by: Lucke, Kyle, et al.
Published: (2026)

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

An Adaptive Tangent Feature Perspective of Neural Networks
by: LeJeune, Daniel, et al.
Published: (2023)

DUAL: Dynamic Uncertainty-Aware Learning
by: Qin, Jiahao, et al.
Published: (2025)

Error-Driven Uncertainty Aware Training
by: Mendes, Pedro, et al.
Published: (2024)

Compositional Curvature Bounds for Deep Neural Networks
by: Entesari, Taha, et al.
Published: (2024)

Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation
by: Kumar, Divake, et al.
Published: (2025)

Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography
by: Haghighi, Tania, et al.
Published: (2026)

DoRAN: Stabilizing Weight-Decomposed Low-Rank Adaptation via Noise Injection and Auxiliary Networks
by: Diep, Nghiem T., et al.
Published: (2025)

Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting
by: Kondylatos, Spyros, et al.
Published: (2025)

Uncertainty-Aware Token Importance Estimation in Spiking Transformers
by: Liu, Wenxuan, et al.
Published: (2026)

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
by: Das, Aryan, et al.
Published: (2026)

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
by: Gabetni, Firas, et al.
Published: (2025)

Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
by: Liu, Weide, et al.
Published: (2025)

Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
by: Noohdani, Fahimeh Hosseini, et al.
Published: (2024)

DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
by: Wang, Yihao, et al.
Published: (2024)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers
by: Shrivastava, Gaurav, et al.
Published: (2024)

The Potential of Convolutional Neural Networks for Cancer Detection
by: Molaeian, Hossein, et al.
Published: (2024)

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
by: Tong, Shuo, et al.
Published: (2025)

Uncertainty-Aware Dual-Student Knowledge Distillation for Efficient Image Classification
by: Gore, Aakash, et al.
Published: (2025)

Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
by: Cho, Minkyoung, et al.
Published: (2024)

Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
by: Dong, Junhao, et al.
Published: (2024)

Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
by: Hong, Jinyung, et al.
Published: (2024)

IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
by: Magistri, Simone, et al.
Published: (2026)

The Character Error Vector: Decomposable errors for page-level OCR evaluation
by: Bourne, Jonathan, et al.
Published: (2026)

VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation
by: Kumar, Divake, et al.
Published: (2026)

Sustainable Recreational Fishing Using a Novel Electrical Muscle Stimulation (EMS) Lure and Ensemble Network Algorithm to Maximize Catch and Release Survivability
by: Haverinen, Petteri, et al.
Published: (2020)

DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
by: Ke, Wenjin, et al.
Published: (2025)

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
by: Gupta, Madhav, et al.
Published: (2025)

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
by: Zepf, Kilian, et al.
Published: (2023)

Epistemic Uncertainty Quantification For Pre-trained Neural Network
by: Wang, Hanjing, et al.
Published: (2024)

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
by: Hao, Pingting, et al.
Published: (2025)

CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation
by: You, Yang, et al.
Published: (2022)

Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)