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

7 September 2019

Christopher Ré

Pallavi Gudipati

Charles Srisuwananukorn

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

17 / 17 papers shown

Title
Maintainability Challenges in ML: A Systematic Literature Review Karthik Shivashankar Antonio Martini 48 10 0 17 Aug 2024
Lifting Weak Supervision To Structured Prediction Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 19 7 0 24 Nov 2022
Management of Machine Learning Lifecycle Artifacts: A Survey Marius Schlegel K. Sattler 25 35 0 21 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 38 7 0 30 Aug 2022
Universalizing Weak Supervision Changho Shin Winfred Li Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 19 30 0 07 Dec 2021
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 45 126 0 19 Oct 2021
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems Laurel J. Orr Atindriyo Sanyal Xiao Ling Karan Goel Megan Leszczynski 27 18 0 11 Aug 2021
Declarative Machine Learning Systems Piero Molino Christopher Ré AI4TS 21 19 0 16 Jul 2021
A Data Quality-Driven View of MLOps Cédric Renggli Luka Rimanic Nezihe Merve Gürel Bojan Karlavs Wentao Wu Ce Zhang AI4TS 22 65 0 15 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 103 1,383 0 14 Dec 2020
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling Benedikt Boecking Willie Neiswanger Eric Xing A. Dubrawski NoLa OffRL 23 68 0 11 Dec 2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation Laurel J. Orr Megan Leszczynski Simran Arora Sen Wu Neel Guha Xiao Ling Christopher Ré 143 48 0 20 Oct 2020
Contextual Embeddings: When Are They Worth It? Simran Arora Avner May Jian Zhang Christopher Ré 13 58 0 18 May 2020
Complaint-driven Training Data Debugging for Query 2.0 Weiyuan Wu Lampros Flokas Eugene Wu Jiannan Wang 32 43 0 12 Apr 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 28 111 0 27 Feb 2020
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices V. Chen Sen Wu Zhenzhen Weng Alexander Ratner Christopher Ré 15 56 0 13 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018