Imagen de Portada

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liao, Peng, Wang, XiLu, Jin, Yaochu, Du, WenLi
Formato:	Preprint
Publicado:	2024
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

Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
por: Peng, Liu, et al.
Publicado: (2025)

EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving
por: Madjid, Nadya Abdel, et al.
Publicado: (2025)

EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
por: Yan, Xueming, et al.
Publicado: (2024)

MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
por: Büssing, Jan, et al.
Publicado: (2026)

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
por: Chen, Zixuan, et al.
Publicado: (2026)

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
por: Zhang, Wanting, et al.
Publicado: (2024)

MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments
por: Tuncer, Cankut Bora, et al.
Publicado: (2025)

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
por: Hu, Tianmeng, et al.
Publicado: (2026)

HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
por: Yan, Yuping, et al.
Publicado: (2026)

Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
por: Pan, Chaofan, et al.
Publicado: (2024)

A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
por: Wei, Zhao, et al.
Publicado: (2025)

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
por: Yuen, Sizhe, et al.
Publicado: (2025)

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
por: Ming, Fei, et al.
Publicado: (2024)

LacaDM: A Latent Causal Diffusion Model for Multiobjective Reinforcement Learning
por: Yan, Xueming, et al.
Publicado: (2025)

Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping
por: Liu, Chanjuan, et al.
Publicado: (2024)

A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
por: Jin, Yaochu, et al.
Publicado: (2024)

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning
por: Ma, Haozhe, et al.
Publicado: (2024)

Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation
por: Yue, Peng, et al.
Publicado: (2024)

Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
por: Fang, Wenxuan, et al.
Publicado: (2024)

Aligning Individual and Collective Objectives in Multi-Agent Cooperation
por: Li, Yang, et al.
Publicado: (2024)

Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory
por: Li, Ruiyin, et al.
Publicado: (2026)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
por: Terekhov, Mikhail, et al.
Publicado: (2024)

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
por: Li, Ruiyin, et al.
Publicado: (2025)

Multi-Task Learning with Multi-Task Optimization
por: Bai, Lu, et al.
Publicado: (2024)

Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search
por: Zhang, Haoyu, et al.
Publicado: (2026)

RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
por: Tang, Yimin, et al.
Publicado: (2025)

Multi-Task Learning Using Uncertainty to Weigh Losses for Heterogeneous Face Attribute Estimation
por: Yuan, Huaqing, et al.
Publicado: (2024)

Multi-Objective Optimization for Sparse Deep Multi-Task Learning
por: Hotegni, S. S., et al.
Publicado: (2023)

Multi-Objective Neural Architecture Search by Learning Search Space Partitions
por: Zhao, Yiyang, et al.
Publicado: (2024)

Continual Knowledge Adaptation for Reinforcement Learning
por: Hu, Jinwu, et al.
Publicado: (2025)

Federated Loss Exploration for Improved Convergence on Non-IID Data
por: Internò, Christian, et al.
Publicado: (2025)

TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
por: Yan, Yuping, et al.
Publicado: (2025)

FedSlate:A Federated Deep Reinforcement Learning Recommender System
por: Deng, Yongxin, et al.
Publicado: (2024)

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
por: Chen, Xinan, et al.
Publicado: (2025)

MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control
por: Zhu, Liwen, et al.
Publicado: (2024)

Offline Multi-Objective Optimization
por: Xue, Ke, et al.
Publicado: (2024)

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
por: Wang, Wei-Yao, et al.
Publicado: (2023)

Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management
por: Lu, Junlin, et al.
Publicado: (2024)

Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
por: Lu, Yizhuo, et al.
Publicado: (2026)

Demonstration Guided Multi-Objective Reinforcement Learning
por: Lu, Junlin, et al.
Publicado: (2024)