Overton: A Data System for Monitoring and Improving Machine-Learned Products

Summary: Overton is a declarative data system that automates the ML lifecycle—training, deployment, fine-grained quality monitoring and error diagnosis—enabling no-code construction of deep-learning production apps. Integrates weak/contradictory supervision, ran at scale, cut errors 1.7–2.9×. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 370
Venue: CIDR
Year: 2020
Pagerank: 6.3625568e-05
Overall Rank: 4,197 | 70.84%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,759	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.1646193e-05
3,765	Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins	2022	VLDB	6.7760748e-05
5,244	Towards Benchmarking Feature Type Inference for AutoML Platforms	2021	SIGMOD	5.6021738e-05
6,225	Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems	2021	VLDB	5.1425119e-05
7,702	ExDRa: Exploratory Data Science on Federated Raw Data	2021	SIGMOD	4.6689015e-05
8,285	Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming	2022	VLDB	4.5392079e-05
8,515	UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads	2022	VLDB	4.4901466e-05
9,116	Towards Observability for Production Machine Learning Pipelines	2022	VLDB	4.3886184e-05
9,443	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation	2021	CIDR	4.3383453e-05
11,315	Towards Observability for Machine Learning Pipelines	2022	CIDR	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
252	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00030532082
668	Incremental Knowledge Base Construction Using DeepDive	2015	VLDB	0.00018428925
1,534	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011462072
2,960	The Role of Massively Multi-Task and Weak Supervision in Software 2.0	2019	CIDR	7.8103118e-05
4,006	Data Platform for Machine Learning	2019	SIGMOD	6.5371762e-05
5,257	Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale	2019	SIGMOD	5.5975788e-05

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2,960	The Role of Massively Multi-Task and Weak Supervision in Software 2.0	2019	CIDR	7.8103118e-05
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