Imagen de Portada

Semantic-Inductive Attribute Selection for Zero-Shot Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Herrera-Aranda, Juan Jose, Gomez-Trenado, Guillermo, Herrera, Francisco, Triguero, Isaac
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

LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
por: Ipas, Oroel, et al.
Publicado: (2026)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
por: Triguero, Isaac, et al.
Publicado: (2023)

VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
por: Cencillo, Alberto D., et al.
Publicado: (2026)

On Zero-Shot Reinforcement Learning
por: Jeen, Scott
Publicado: (2025)

Zero-Shot Robustification of Zero-Shot Models
por: Adila, Dyah, et al.
Publicado: (2023)

CLAMS: A System for Zero-Shot Model Selection for Clustering
por: Singh, Prabhant, et al.
Publicado: (2024)

Zero-Shot Off-Policy Learning
por: Asadulaev, Arip, et al.
Publicado: (2026)

Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
por: Rocamonde, Juan, et al.
Publicado: (2023)

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach
por: Canonne, Clément L., et al.
Publicado: (2025)

Provable Zero-Shot Generalization in Offline Reinforcement Learning
por: Wang, Zhiyong, et al.
Publicado: (2025)

Zero-Shot Reinforcement Learning Under Partial Observability
por: Jeen, Scott, et al.
Publicado: (2025)

Zero-Shot Reinforcement Learning via Function Encoders
por: Ingebrand, Tyler, et al.
Publicado: (2024)

RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
por: Li, Haolin, et al.
Publicado: (2024)

Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection
por: Fei, Qinjun, et al.
Publicado: (2025)

Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning
por: Dijujin, Negin Hashemi, et al.
Publicado: (2025)

Towards Robust Zero-Shot Reinforcement Learning
por: Zheng, Kexin, et al.
Publicado: (2025)

Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
por: Hui, Bingyu, et al.
Publicado: (2025)

Zero-Shot Reinforcement Learning from Low Quality Data
por: Jeen, Scott, et al.
Publicado: (2023)

ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
por: Meindl, Jamison, et al.
Publicado: (2025)

Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications
por: Zhang, Zhaoyu, et al.
Publicado: (2025)

GraphUniverse: Synthetic Graph Generation for Evaluating Inductive Generalization
por: Van Langendonck, Louis, et al.
Publicado: (2025)

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
por: Frans, Kevin, et al.
Publicado: (2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
por: Liu, Fei, et al.
Publicado: (2024)

Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning
por: Ndir, Tidiane Camaret, et al.
Publicado: (2024)

DenoGrad: A Gradient-Based Framework for Data Refinement in Tabular and Time-Series Learning
por: Alonso-Ramos, J. Javier, et al.
Publicado: (2025)

BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems
por: Armstrong, Joss
Publicado: (2026)

DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
por: Garcin, Samuel, et al.
Publicado: (2024)

Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
por: Hu, Jiajun, et al.
Publicado: (2026)

Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization
por: Prasanna, Sai, et al.
Publicado: (2024)

Inductive Moment Matching
por: Zhou, Linqi, et al.
Publicado: (2025)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
por: Ricciardi, Antonio Pio, et al.
Publicado: (2025)

HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation
por: Pan, Mengting, et al.
Publicado: (2025)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
por: Liang, Zhiyuan, et al.
Publicado: (2025)

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
por: Wang, Xiangmeng, et al.
Publicado: (2026)

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
por: Liu, Tianyu, et al.
Publicado: (2024)

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
por: Xiong, Jiafeng, et al.
Publicado: (2025)

Instilling Inductive Biases with Subnetworks
por: Zhang, Enyan, et al.
Publicado: (2023)

Reevaluation of Inductive Link Prediction
por: Ott, Simon, et al.
Publicado: (2024)

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
por: Chen, Huiqiang, et al.
Publicado: (2025)

MicroNAS: Zero-Shot Neural Architecture Search for MCUs
por: Qiao, Ye, et al.
Publicado: (2024)