惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
Netflix TechBlog - Medium
大猫的无限游戏
大猫的无限游戏
B
Blog
J
Java Code Geeks
T
Tailwind CSS Blog
腾
腾讯CDC
A
About on SuperTechFans
GbyAI
GbyAI
H
Help Net Security
IT之家
IT之家
L
LangChain Blog
Y
Y Combinator Blog
Hugging Face - Blog
Hugging Face - Blog
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知
S
SegmentFault 最新的问题
博
博客园 - 叶小钗
小众软件
小众软件
I
InfoQ
爱范儿
爱范儿
有赞技术团队
有赞技术团队
博
博客园 - 司徒正美
博
博客园 - 【当耐特】
Jina AI
Jina AI
D
Docker

cs.LG updates on arXiv.org

Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning Reservoir observer enhanced with residual calibration and attention mechanism Efficient RL Training for LLMs with Experience Replay Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control IKKA: Inversion Classification via Critical Anomalies for Robust Visual Servoing Adaptive Simulation Experiment for LLM Policy Optimization EvoLen: Evolution-Guided Tokenization for DNA Language Model Smartwatch-Based Sitting Time Estimation in Real-World Office Settings Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis Loom: A Scalable Analytical Neural Computer Architecture Spectral Geometry of LoRA Adapters Encodes Training Objective and Predicts Harmful Compliance Finite-Sample Analysis of Nonlinear Independent Component Analysis:Sample Complexity and Identifiability Bounds How does Chain of Thought decompose complex tasks? Uncertainty-Aware Transformers: Conformal Prediction for Language Models Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization Using Synthetic Data for Machine Learning-based Childhood Vaccination Prediction in Narok, Kenya Delve into the Applicability of Advanced Optimizers for Multi-Task Learning Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication Predictive Entropy Links Calibration and Paraphrase Sensitivity in Medical Vision-Language Models Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Integrated electro-optic attention nonlinearities for transformers Toward World Models for Epidemiology Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
Revisiting Neural Activation Coverage for Uncertainty Est...
Benedikt Fra · 2026-04-27 · via cs.LG updates on arXiv.org

View PDF HTML (experimental)

Abstract:Neural activation coverage (NAC) is a recently-proposed technique for out-of-distribution detection and generalization. We build upon this promising foundation and extend the method to work as an uncertainty estimation technique for already-trained artificial neural networks in the domain of regression. Our experiments confirm NAC uncertainty scores to be more meaningful than other techniques, e.g. Monte-Carlo Dropout.
Comments: Published in 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2026
Subjects: Machine Learning (cs.LG)
Cite as: arXiv:2604.22360 [cs.LG]
  (or arXiv:2604.22360v1 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2604.22360

arXiv-issued DOI via DataCite (pending registration)
Related DOI: https://doi.org/10.14428/esann/2026.ES2026-29

DOI(s) linking to related resources

Submission history

From: Benedikt Franke [view email]
[v1] Fri, 24 Apr 2026 08:48:49 UTC (27 KB)

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。