Research map / Architectures and efficiency / Neural architecture search
Searching for Machine Learning Pipelines Using a Context-Free Grammar
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Search DAG-shaped pipeline structures instead of using a fixed linear structure | PIPER and PIPERX · OpenML classification datasets | average rank | Helped |
| Continue greedy search beyond the first solution and evaluate terminal structures with sampled configurations | PIPERX · OpenML classification datasets | average rank | Helped |
| Continue greedy search and optimize each terminal structure with a shorter CASH run | PIPERZ · OpenML classification datasets | average rank | Hurt |
| Spend only a relatively small amount of time optimizing each visited pipeline structure | PIPERZ · Representative OpenML datasets | classification error | Hurt |
Closest papers by meaning
- Pipeline Combinators for Gradual AutoML (NeurIPS 2021 · similarity 0.90)
- Automated Model Discovery via Multi-modal & Multi-step Pipeline (NeurIPS 2025 · similarity 0.86)
- ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model (AAAI 2025 · similarity 0.85)
- AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML (ICML 2025 · similarity 0.85)
- AutoG: Towards automatic graph construction from tabular data (ICLR 2025 · similarity 0.85)
- AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks (AAAI 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
