Imagen de Portada

SPORE: Skeleton Propagation Over Recalibrating Expansions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Wiredu-Aidoo, Randolph
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Mass Agreement Score: A Point-centric Measure of Cluster Size Consistency
por: Wiredu-Aidoo, Randolph
Publicado: (2026)

PAC-Bayes Analysis for Recalibration in Classification
por: Fujisawa, Masahiro, et al.
Publicado: (2024)

Boldness-Recalibration for Binary Event Predictions
por: Guthrie, Adeline P., et al.
Publicado: (2023)

Multivariate Latent Recalibration for Conditional Normalizing Flows
por: Dheur, Victor, et al.
Publicado: (2025)

Dynamic Momentum Recalibration in Online Gradient Learning
por: Yao, Zhipeng, et al.
Publicado: (2026)

Improving Predictor Reliability with Selective Recalibration
por: Zollo, Thomas P., et al.
Publicado: (2024)

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
por: Zhong, Siru, et al.
Publicado: (2026)

Few-Shot Recalibration of Language Models
por: Li, Xiang Lisa, et al.
Publicado: (2024)

Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing
por: Moghadas, Seyed Mohamad, et al.
Publicado: (2026)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
por: Qi, Xiaoming, et al.
Publicado: (2025)

Test Time Adaptation Using Adaptive Quantile Recalibration
por: Mehrbod, Paria, et al.
Publicado: (2025)

Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
por: Choi, Yoonhyuk, et al.
Publicado: (2024)

Sample Margin-Aware Recalibration of Temperature Scaling
por: Guo, Haolan, et al.
Publicado: (2025)

Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function
por: Vennos, Amy, et al.
Publicado: (2026)

LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
por: Stojnić, Vladan, et al.
Publicado: (2025)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
por: Qi, Xiaoming, et al.
Publicado: (2025)

Recalibrating binary probabilistic classifiers
por: Tasche, Dirk
Publicado: (2025)

Skeleton-Guided Learning for Shortest Path Search
por: Liu, Tiantian, et al.
Publicado: (2025)

CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification
por: Zhang, Fan, et al.
Publicado: (2026)

Extraction Propagation
por: Pasteris, Stephen, et al.
Publicado: (2024)

Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures
por: Xie, Wen-Bo, et al.
Publicado: (2025)

Combinatorial Causal Bandits without Graph Skeleton
por: Feng, Shi, et al.
Publicado: (2023)

A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
por: Linderman, Randolph W., et al.
Publicado: (2025)

Uncertainty Quantification for Machine Learning-Based Prediction: A Polynomial Chaos Expansion Approach for Joint Model and Input Uncertainty Propagation
por: Du, Xiaoping
Publicado: (2025)

Univariate Skeleton Prediction in Multivariate Systems Using Transformers
por: Morales, Giorgio, et al.
Publicado: (2024)

Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
por: Yue, Zichao, et al.
Publicado: (2026)

Position: Don't be Afraid of Over-Smoothing And Over-Squashing
por: Kormann, Niklas, et al.
Publicado: (2026)

h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective
por: Huang, Wenjian, et al.
Publicado: (2025)

Path Planning using a One-shot-sampling Skeleton Map
por: Flores-Aquino, Gabriel O., et al.
Publicado: (2025)

Fearless Stochasticity in Expectation Propagation
por: So, Jonathan, et al.
Publicado: (2024)

Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
por: Wei, Zeyu, et al.
Publicado: (2023)

F\textsuperscript{2}LP-AP: Fast \& Flexible Label Propagation with Adaptive Propagation Kernel
por: Shen, Yutong, et al.
Publicado: (2026)

PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning
por: Wang, Qibin, et al.
Publicado: (2024)

Deep Polynomial Chaos Expansion
por: Exenberger, Johannes, et al.
Publicado: (2025)

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
por: Pellano, Kimji N., et al.
Publicado: (2024)

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration
por: Xu, Yuanzhi, et al.
Publicado: (2026)

Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions
por: Shah, Rahul, et al.
Publicado: (2024)

Validation of Composite Systems by Discrepancy Propagation
por: Reeb, David, et al.
Publicado: (2022)

Dendritic Neural Networks with Equilibrium Propagation
por: Kubo, Yoshimasa
Publicado: (2026)

How Is Uncertainty Propagated in Knowledge Distillation?
por: Cui, Ziyao, et al.
Publicado: (2026)