Imagen de Portada

Significativity Indices for Agreement Values

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Casagrande, Alberto, Fabris, Francesco, Girometti, Rossano, Pagliarini, Roberto
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Model Agreement via Anchoring
por: Eaton, Eric, et al.
Publicado: (2026)

Modeling Teams Performance Using Deep Representational Learning on Graphs
por: Carli, Francesco, et al.
Publicado: (2022)

Highway Value Iteration Networks
por: Wang, Yuhui, et al.
Publicado: (2024)

The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications
por: Zhao, Zhenyu, et al.
Publicado: (2026)

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
por: Kim, Eungyeup, et al.
Publicado: (2023)

Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models
por: Duszenko, Jacek
Publicado: (2026)

Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering
por: Chaubard, Francois, et al.
Publicado: (2024)

Reinforcement Learning for Durable Algorithmic Recourse
por: Ceccon, Marina, et al.
Publicado: (2025)

DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications
por: Umili, Elena, et al.
Publicado: (2026)

Neural Reward Machines
por: Umili, Elena, et al.
Publicado: (2024)

Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning
por: Apicella, Andrea, et al.
Publicado: (2024)

Multi-Armed Bandits With Best-Action Queries
por: Bacchiocchi, Francesco, et al.
Publicado: (2026)

Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
por: Scarpel, Edoardo, et al.
Publicado: (2026)

Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data
por: Rewicki, Ferdinand, et al.
Publicado: (2025)

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
por: Natsumi, Koki, et al.
Publicado: (2025)

Pretrain Value, Not Reward: Decoupled Value Policy Optimization
por: Huang, Chenghua, et al.
Publicado: (2025)

Instance-Adaptive Parametrization for Amortized Variational Inference
por: Pollastro, Andrea, et al.
Publicado: (2026)

Don't stop me now: Rethinking Validation Criteria for Model Parameter Selection
por: Apicella, Andrea, et al.
Publicado: (2026)

Value Flows
por: Dong, Perry, et al.
Publicado: (2025)

Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
por: Xu, Hefei, et al.
Publicado: (2025)

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement
por: Wang, Tong, et al.
Publicado: (2026)

An Analysis of Action-Value Temporal-Difference Methods That Learn State Values
por: Daley, Brett, et al.
Publicado: (2025)

Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
por: Witter, R. Teal, et al.
Publicado: (2025)

Is there Value in Reinforcement Learning?
por: Fox, Lior, et al.
Publicado: (2025)

Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets
por: Obi, Ike, et al.
Publicado: (2024)

VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models
por: Xu, Hefei, et al.
Publicado: (2026)

Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time
por: Kalupahana, Kalana, et al.
Publicado: (2026)

IMPACTX: improving model performance by appropriately constraining the training with teacher explanations
por: Apicella, Andrea, et al.
Publicado: (2025)

Universal Value-Function Uncertainties
por: Zanger, Moritz A., et al.
Publicado: (2025)

Suboptimal Shapley Value Explanations
por: Lu, Xiaolei
Publicado: (2025)

An Odd Estimator for Shapley Values
por: Fumagalli, Fabian, et al.
Publicado: (2026)

On the Inflation of KNN-Shapley Value
por: Yang, Ziao, et al.
Publicado: (2024)

Value Improved Actor Critic Algorithms
por: Oren, Yaniv, et al.
Publicado: (2024)

Quasimetric Value Functions with Dense Rewards
por: Valieva, Khadichabonu, et al.
Publicado: (2024)

Exactly Computing do-Shapley Values
por: Witter, R. Teal, et al.
Publicado: (2026)

Explaining Drift using Shapley Values
por: Edakunni, Narayanan U., et al.
Publicado: (2024)

Retrosynthetic Planning with Dual Value Networks
por: Liu, Guoqing, et al.
Publicado: (2023)

Generalized Priority-Aware Shapley Value
por: Lee, Kiljae, et al.
Publicado: (2026)

No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
por: Stradi, Francesco Emanuele, et al.
Publicado: (2025)

Inferring Transition Dynamics from Value Functions
por: Adamczyk, Jacob
Publicado: (2025)