Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vo, An, Luong, Ngoc Hoang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity
di: Bahlous-Boldi, Ryan, et al.
Pubblicazione: (2025)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
di: Booysen, Reinhard, et al.
Pubblicazione: (2024)

From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming
di: Phan, Quan Minh, et al.
Pubblicazione: (2025)

TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
di: Haq, Ijaz Ul, et al.
Pubblicazione: (2023)

Few-shot Neural Architecture Search
di: Zhao, Yiyang, et al.
Pubblicazione: (2020)

Multiple Population Alternate Evolution Neural Architecture Search
di: Zou, Juan, et al.
Pubblicazione: (2024)

Self-Supervised Neural Architecture Search for Multimodal Deep Neural Networks
di: Suzuki, Shota, et al.
Pubblicazione: (2025)

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
di: Fu, Rong, et al.
Pubblicazione: (2026)

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
di: Nguyen, Minh-Duc, et al.
Pubblicazione: (2024)

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
di: Bouzidi, Halima, et al.
Pubblicazione: (2024)

Towards Code-Oriented LM Embeddings for Surrogate-Assisted Neural Architecture Search
di: Somu, Pranav, et al.
Pubblicazione: (2026)

ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
di: Wang, Sixuan, et al.
Pubblicazione: (2025)

SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
di: Mih, Atah Nuh, et al.
Pubblicazione: (2026)

A Modality-Aware Cooperative Co-Evolutionary Framework for Multimodal Graph Neural Architecture Search
di: Wang, Sixuan, et al.
Pubblicazione: (2025)

Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
di: Feldmeier, Patric, et al.
Pubblicazione: (2024)

Zero-shot Quantum Neural Architecture Search
di: Dao, Tung, et al.
Pubblicazione: (2026)

Neural Genetic Search in Discrete Spaces
di: Kim, Hyeonah, et al.
Pubblicazione: (2025)

A Transformer-based Neural Architecture Search Method
di: Wang, Shang, et al.
Pubblicazione: (2025)

Knowledge-aware Evolutionary Graph Neural Architecture Search
di: Wang, Chao, et al.
Pubblicazione: (2024)

Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
di: Lorenc, Matyáš, et al.
Pubblicazione: (2025)

Neural Architecture Search using Particle Swarm and Ant Colony Optimization
di: Lankford, Séamus, et al.
Pubblicazione: (2024)

Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
di: Zada, Moustafa
Pubblicazione: (2025)

Pareto-Optimal Anytime Algorithms via Bayesian Racing
di: Wurth, Jonathan, et al.
Pubblicazione: (2026)

Elastic Architecture Search for Efficient Language Models
di: Wang, Shang
Pubblicazione: (2025)

Neural Architecture Search for Quantum Autoencoders
di: Agha, Hibah, et al.
Pubblicazione: (2025)

Encodings for Prediction-based Neural Architecture Search
di: Akhauri, Yash, et al.
Pubblicazione: (2024)

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
di: Tian, Hao, et al.
Pubblicazione: (2023)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
di: Putra, Rachmad Vidya Wicaksana, et al.
Pubblicazione: (2024)

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
di: Wu, Yuxin, et al.
Pubblicazione: (2026)

ECToNAS: Evolutionary Cross-Topology Neural Architecture Search
di: Schiessler, Elisabeth J., et al.
Pubblicazione: (2024)

LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
di: Abhyankar, Nikhil, et al.
Pubblicazione: (2025)

Pareto-NRPA: A Novel Monte-Carlo Search Algorithm for Multi-Objective Optimization
di: Lallouet, Noé, et al.
Pubblicazione: (2025)

Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
di: Refoyo, Mario, et al.
Pubblicazione: (2024)

LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search
di: Guo, Jinyue, et al.
Pubblicazione: (2024)

MIDAS: Mosaic Input-Specific Differentiable Architecture Search
di: Subbotko, Konstanty
Pubblicazione: (2026)

Efficient Evaluation Methods for Neural Architecture Search: A Survey
di: Song, Xiaotian, et al.
Pubblicazione: (2023)

Natural Evolutionary Search meets Probabilistic Numerics
di: Osselin, Pierre, et al.
Pubblicazione: (2025)

Evolutionary Context Search for Automated Skill Acquisition
di: Sun, Qi, et al.
Pubblicazione: (2026)

Heuristic Search as Language-Guided Program Optimization
di: Yu, Mingxin, et al.
Pubblicazione: (2026)

Particle Swarm Optimization based on Novelty Search
di: Misra, Mr. Rajesh, et al.
Pubblicazione: (2022)