牛哥精选 · 半年

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🤖 AI·大模型 arXiv AI 2026-06-23

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model

实测大模型当超参优化顾问的真实战力：预算匹配下，起关键作用的是默认配置，而非LLM本身，结论含金量高但稍偏学术。

arXiv:2606.21641v1 Announce Type: cross Abstract: Large language models (LLMs) have been proposed as hyperparameter-optimization (HPO) advisors that "…

llm 超参数优化 hpo 基准测试 tabular数据

📝 深度技术 arXiv 机器学习 2026-06-23

Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

用AutoML多目标优化深度移位神经网络，实现可持续深度学习，降低能耗同时保持模型性能。

arXiv:2606.23208v1 Announce Type: new Abstract: Deep Learning (DL) has advanced various fields by extracting complex patterns from large datasets. How…

automl 多目标优化深度学习可持续ai 超参数优化

📝 深度技术 arXiv AI 2026-06-17

Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

探索AutoML在多目标超参数优化中的应用，为深度移位神经网络带来可持续性提升。

arXiv:2404.01965v3 Announce Type: replace-cross Abstract: Deep Learning (DL) has advanced various fields by extracting complex patterns from large dat…

automl 可持续深度学习多目标hpo 深度移位神经网络超参数优化

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model

Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

📅 日期