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NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning
  Applications

NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications

4 November 2023
Robert Tjarko Lange
Yujin Tang
Yingtao Tian
    ELM
ArXiv (abs)PDFHTMLGithub (39★)

Papers citing "NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications"

2 / 2 papers shown
Title
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-Jiao Gong
Jun Zhang
Kay Chen Tan
298
5
0
01 Nov 2024
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng
Zifeng Wang
Yike Wang
Sayna Ebrahimi
Hamid Palangi
...
Nathalie Rauschmayr
Yejin Choi
Yulia Tsvetkov
Chen-Yu Lee
Tomas Pfister
MoMe
103
9
0
15 Oct 2024
1