Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration
Summary: Intermittent human-in-the-loop model selection to bridge AutoML throughput and expert guidance. Cerebro demonstrates the approach on five real-world DL workloads, delivering a scalable mixed-initiative search over model architectures and hyperparameters. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Liangde Li
- 2. Supun Nakandala
- 3. Arun Kumar
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,183 | SHiFT: An Efficient, Flexible Search Engine for Transfer Learning | 2023 | VLDB | 4.5615358e-05 |
| 13,185 | Reimagining Deep Learning Systems Through the Lens of Data Systems | 2024 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 684 | Cerebro: A Data System for Optimized Deep Learning Model Selection | 2020 | VLDB | 0.00018152321 |
| 758 | Materialization Optimizations for Feature Selection Workloads | 2014 | SIGMOD | 0.00017053915 |
| 1,666 | HELIX: Holistic Optimization for Accelerating Iterative Machine Learning | 2019 | VLDB | 0.00010955907 |
| 8,864 | Cerebro: A Layered Data Platform for Scalable Deep Learning | 2021 | CIDR | 4.4283952e-05 |
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| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,667 | Human-in-the-loop Data Integration | 2017 | VLDB | 4.6791871e-05 |
| 11,450 | Grouped Learning: Group-By Model Selection Workloads | 2021 | SIGMOD | 4.1905499e-05 |
| 13,326 | Demonstration of Krypton: Optimized CNN Inference for Occlusion-based Deep CNN Explanations | 2019 | VLDB | - |
| 7,580 | Human-in-the-loop Outlier Detection | 2020 | SIGMOD | 4.7023767e-05 |
| 9,269 | Model-Parallel Model Selection for Deep Learning Systems | 2021 | SIGMOD | 4.3633561e-05 |
| 5,965 | Automatic Data Acquisition for Deep Learning | 2021 | VLDB | 5.2476363e-05 |
| 11,638 | Personal Insights for Altering Decisions of Tree-based Ensembles over Time | 2020 | VLDB | 4.1905499e-05 |
| 917 | Democratizing Data Science through Interactive Curation of ML Pipelines | 2019 | SIGMOD | 0.00015324193 |
| 8,864 | Cerebro: A Layered Data Platform for Scalable Deep Learning | 2021 | CIDR | 4.4283952e-05 |
| 684 | Cerebro: A Data System for Optimized Deep Learning Model Selection | 2020 | VLDB | 0.00018152321 |