Image de couverture de livre

Few-shot Quality-Diversity Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Salehi, Achkan, Coninx, Alexandre, Doncieux, Stephane
Format:	Preprint
Publié:	2021
Sujets:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
par: Hedayatian, Saeed, et autres
Publié: (2025)

COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
par: Barreda, Jesus, et autres
Publié: (2024)

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models
par: Wang, Ren-Jian, et autres
Publié: (2025)

Quality-Diversity Optimization as Multi-Objective Optimization
par: Lin, Xi, et autres
Publié: (2026)

Multi-Objective Quality-Diversity for Crystal Structure Prediction
par: Janmohamed, Hannah, et autres
Publié: (2024)

Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
par: Janmohamed, Hannah, et autres
Publié: (2025)

Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization
par: Tsakonas, Constantinos, et autres
Publié: (2025)

Large Language Models as In-context AI Generators for Quality-Diversity
par: Lim, Bryan, et autres
Publié: (2024)

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
par: Faldor, Maxence, et autres
Publié: (2023)

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
par: Mitsides, Konstantinos, et autres
Publié: (2025)

Diversity from Human Feedback
par: Wang, Ren-Jian, et autres
Publié: (2023)

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
par: Flageat, Manon, et autres
Publié: (2025)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
par: Lin, Xi, et autres
Publié: (2024)

Few-shot Neural Architecture Search
par: Zhao, Yiyang, et autres
Publié: (2020)

Soft Quality-Diversity Optimization
par: Hedayatian, Saeed, et autres
Publié: (2025)

Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
par: Miranda, Brando, et autres
Publié: (2023)

EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models
par: Tang, Rui, et autres
Publié: (2026)

Vector Policy Optimization: Training for Diversity Improves Test-Time Search
par: Bahlous-Boldi, Ryan, et autres
Publié: (2026)

Offline Multi-Objective Optimization
par: Xue, Ke, et autres
Publié: (2024)

Reinforced In-Context Black-Box Optimization
par: Song, Lei, et autres
Publié: (2024)

Surrogate Benchmarks for Model Merging Optimization
par: Akizuki, Rio, et autres
Publié: (2025)

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
par: Ding, Li, et autres
Publié: (2023)

Understanding Transformer Optimization via Gradient Heterogeneity
par: Tomihari, Akiyoshi, et autres
Publié: (2025)

Multi-Task Optimization over Networks of Tasks
par: Hatzky, Julian, et autres
Publié: (2026)

Automated Algorithm Design for Auto-Tuning Optimizers
par: Willemsen, Floris-Jan, et autres
Publié: (2025)

Offline Model-Based Optimization by Learning to Rank
par: Tan, Rong-Xi, et autres
Publié: (2024)

Why Flow Matching is Particle Swarm Optimization?
par: Ouyang, Kaichen
Publié: (2025)

ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms
par: Goertzel, Ben
Publié: (2025)

EOE: Evolutionary Optimization of Experts for Training Language Models
par: Chen, Yingshi
Publié: (2025)

Position: Leverage Foundational Models for Black-Box Optimization
par: Song, Xingyou, et autres
Publié: (2024)

A Simple and Efficient Approach to Batch Bayesian Optimization
par: Zhan, Dawei, et autres
Publié: (2024)

AlphaGrad: Non-Linear Gradient Normalization Optimizer
par: Sane, Soham
Publié: (2025)

Task-free Adaptive Meta Black-box Optimization
par: Wang, Chao, et autres
Publié: (2026)

On Accelerating Edge AI: Optimizing Resource-Constrained Environments
par: Sander, Jacob, et autres
Publié: (2025)

Multi-scale Topology Optimization using Neural Networks
par: Chen, Hongrui, et autres
Publié: (2024)

Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
par: Bai, Hui, et autres
Publié: (2024)

An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
par: Niu, Sihan, et autres
Publié: (2024)

AM-PPO: (Advantage) Alpha-Modulation with Proximal Policy Optimization
par: Sane, Soham
Publié: (2025)

MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
par: Büssing, Jan, et autres
Publié: (2026)

MXNorm: Reusing MXFP block scales for efficient tensor normalisation
par: McLean, Callum, et autres
Publié: (2026)