Michael Kuchnik

According to our database1, Michael Kuchnik authored at least 9 papers between 2018 and 2024.

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Bibliography

2024
Croissant: A Metadata Format for ML-Ready Datasets.
CoRR, 2024

2022
Validating Large Language Models with ReLM.
CoRR, 2022

Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines.
Proceedings of Machine Learning and Systems 2022, 2022

2021
Progressive Compressed Records: Taking a Byte out of Deep Learning Data.
Proc. VLDB Endow., 2021

2020
File Systems Unfit as Distributed Storage Back Ends: Lessons from 10 Years of Ceph Evolution.
login Usenix Mag., 2020

The Case for Custom Storage Backends in Distributed Storage Systems.
ACM Trans. Storage, 2020

2019
File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution.
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Efficient Augmentation via Data Subsampling.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
The Atlas Cluster Trace Repository.
login Usenix Mag., 2018


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