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08/13/2023
MDB: Interactively Querying Datasets and Models
As models are trained and deployed, developers need to be able to system...
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05/25/2023
Rectifying Group Irregularities in Explanations for Distribution Shift
It is well-known that real-world changes constituting distribution shift...
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03/02/2023
Do Machine Learning Models Learn Common Sense?
Machine learning models can make basic errors that are easily hidden wit...
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02/09/2023
Learning to Select Pivotal Samples for Meta Re-weighting
Sample re-weighting strategies provide a promising mechanism to deal wit...
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07/19/2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
High-quality labels are expensive to obtain for many machine learning ta...
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03/03/2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Forecasting on sparse multivariate time series (MTS) aims to model the p...
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06/26/2020
DeltaGrad: Rapid retraining of machine learning models
Machine learning models are not static and may need to be retrained on s...
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05/15/2020
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS
Non-volatile memory (NVM) is an emerging technology, which has the persi...
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02/26/2020
