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08/02/2023
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data
In this vision paper, we propose a shift in perspective for improving th...
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11/13/2022
Ground Truth Inference for Weakly Supervised Entity Matching
Entity matching (EM) refers to the problem of identifying pairs of data ...
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07/27/2022
Learning Hyper Label Model for Programmatic Weak Supervision
To reduce the human annotation efforts, the programmatic weak supervisio...
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02/06/2022
Learning to be a Statistician: Learned Estimator for Number of Distinct Values
Estimating the number of distinct values (NDV) in a column is useful for...
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06/21/2021
Demonstration of Panda: A Weakly Supervised Entity Matching System
Entity matching (EM) refers to the problem of identifying tuple pairs in...
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05/11/2020
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Machine learning (ML) applications have been thriving recently, largely ...
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12/27/2019
Real Time Pattern Matching with Dynamic Normalization
Pattern matching in time series data streams is considered to be an esse...
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08/16/2019
