Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation
Fuente:
arXiv
Guardado en:
| Autores principales: | Gheibi, Omid, Weyns, Danny |
|---|---|
| Formato: | Preprint |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
por: Grishina, Anastasiia, et al.
Publicado: (2025)
por: Grishina, Anastasiia, et al.
Publicado: (2025)
Enhancing Analogy-Based Software Effort Estimation with Firefly Algorithm Optimization
por: Chintada, Tarun, et al.
Publicado: (2025)
por: Chintada, Tarun, et al.
Publicado: (2025)
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
por: Da Ros, Francesca, et al.
Publicado: (2026)
por: Da Ros, Francesca, et al.
Publicado: (2026)
Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
por: Hyun, Sangwon, et al.
Publicado: (2025)
por: Hyun, Sangwon, et al.
Publicado: (2025)
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
por: van Stein, Niki, et al.
Publicado: (2026)
por: van Stein, Niki, et al.
Publicado: (2026)
Path Analysis for Effective Fault Localization in Deep Neural Networks
por: Hashemifar, Soroush, et al.
Publicado: (2023)
por: Hashemifar, Soroush, et al.
Publicado: (2023)
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
por: Helmuth, Thomas, et al.
Publicado: (2024)
por: Helmuth, Thomas, et al.
Publicado: (2024)
Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm
por: Taherkhani, Hamed, et al.
Publicado: (2024)
por: Taherkhani, Hamed, et al.
Publicado: (2024)
REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models
por: Min, Kyungjun, et al.
Publicado: (2025)
por: Min, Kyungjun, et al.
Publicado: (2025)
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
por: van Stein, Niki, et al.
Publicado: (2025)
por: van Stein, Niki, et al.
Publicado: (2025)
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems
por: Cheng, Mingfei, et al.
Publicado: (2024)
por: Cheng, Mingfei, et al.
Publicado: (2024)
Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
por: Feldmeier, Patric, et al.
Publicado: (2024)
por: Feldmeier, Patric, et al.
Publicado: (2024)
On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
por: Lyons, Lauren, et al.
Publicado: (2025)
por: Lyons, Lauren, et al.
Publicado: (2025)
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
por: Ma, Zeyuan, et al.
Publicado: (2024)
por: Ma, Zeyuan, et al.
Publicado: (2024)
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
por: Miao, Jiaxing, et al.
Publicado: (2024)
por: Miao, Jiaxing, et al.
Publicado: (2024)
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
por: Boraud, Virgile, et al.
Publicado: (2025)
por: Boraud, Virgile, et al.
Publicado: (2025)
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
por: Zhou, Changliang, et al.
Publicado: (2024)
por: Zhou, Changliang, et al.
Publicado: (2024)
Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
por: Chaudhary, Siddharth
Publicado: (2025)
por: Chaudhary, Siddharth
Publicado: (2025)
Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
por: Zhu, Jianghan, et al.
Publicado: (2025)
por: Zhu, Jianghan, et al.
Publicado: (2025)
Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies
por: Grbcic, Luka, et al.
Publicado: (2023)
por: Grbcic, Luka, et al.
Publicado: (2023)
The Alpha-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance
por: Rezaei, Mohammad Reza, et al.
Publicado: (2025)
por: Rezaei, Mohammad Reza, et al.
Publicado: (2025)
Discovering Software Parallelization Points Using Deep Neural Networks
por: Correia, Izavan dos S., et al.
Publicado: (2025)
por: Correia, Izavan dos S., et al.
Publicado: (2025)
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
por: D'Agostino, Danny, et al.
Publicado: (2023)
por: D'Agostino, Danny, et al.
Publicado: (2023)
Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
por: Yousefizadeh, Hossein, et al.
Publicado: (2024)
por: Yousefizadeh, Hossein, et al.
Publicado: (2024)
Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
por: Mia, Md Zesun Ahmed, et al.
Publicado: (2025)
por: Mia, Md Zesun Ahmed, et al.
Publicado: (2025)
Hardness, Structural Knowledge, and Opportunity: An Analytical Framework for Modular Performance Modeling
por: Gheibi, Omid, et al.
Publicado: (2025)
por: Gheibi, Omid, et al.
Publicado: (2025)
Half-Space Feature Learning in Neural Networks
por: Yadav, Mahesh Lorik, et al.
Publicado: (2024)
por: Yadav, Mahesh Lorik, et al.
Publicado: (2024)
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
por: Vinhas, Adriano, et al.
Publicado: (2024)
por: Vinhas, Adriano, et al.
Publicado: (2024)
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
por: Amizadeh, Saeed, et al.
Publicado: (2025)
por: Amizadeh, Saeed, et al.
Publicado: (2025)
Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention
por: Tian, Zhengyu, et al.
Publicado: (2025)
por: Tian, Zhengyu, et al.
Publicado: (2025)
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
por: Knigge, David M., et al.
Publicado: (2024)
por: Knigge, David M., et al.
Publicado: (2024)
Learning Evolution via Optimization Knowledge Adaptation
por: Wang, Chao, et al.
Publicado: (2025)
por: Wang, Chao, et al.
Publicado: (2025)
Learning to Reduce Search Space for Generalizable Neural Routing Solver
por: Zhou, Changliang, et al.
Publicado: (2025)
por: Zhou, Changliang, et al.
Publicado: (2025)
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
por: Pourcel, Julien, et al.
Publicado: (2025)
por: Pourcel, Julien, et al.
Publicado: (2025)
Deep ARTMAP: Generalized Hierarchical Learning with Adaptive Resonance Theory
por: Melton, Niklas M., et al.
Publicado: (2025)
por: Melton, Niklas M., et al.
Publicado: (2025)
NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual Learning
por: Raghunathan, Karthik Charan, et al.
Publicado: (2026)
por: Raghunathan, Karthik Charan, et al.
Publicado: (2026)
Active Learning for Neural PDE Solvers
por: Musekamp, Daniel, et al.
Publicado: (2024)
por: Musekamp, Daniel, et al.
Publicado: (2024)
Statistical Validation in Cultural Adaptations of Cognitive Tests: A Multi- Regional Systematic Review
por: Daga, Miit, et al.
Publicado: (2025)
por: Daga, Miit, et al.
Publicado: (2025)
Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
por: Houichime, Tarik, et al.
Publicado: (2025)
por: Houichime, Tarik, et al.
Publicado: (2025)
Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability
por: Huang, Mingyu, et al.
Publicado: (2022)
por: Huang, Mingyu, et al.
Publicado: (2022)
Ejemplares similares
-
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
por: Grishina, Anastasiia, et al.
Publicado: (2025) -
Enhancing Analogy-Based Software Effort Estimation with Firefly Algorithm Optimization
por: Chintada, Tarun, et al.
Publicado: (2025) -
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
por: Da Ros, Francesca, et al.
Publicado: (2026) -
Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
por: Hyun, Sangwon, et al.
Publicado: (2025) -
LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
por: van Stein, Niki, et al.
Publicado: (2026)