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20112025
most citedHoloDetect: Few-Shot Learning for Error Detection

113 citations · 250 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025★ 2 cited

Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Cedric Renggli, Ihab F. Ilyas, Theodoros Rekatsinas

In this work, we dive into the fundamental challenges of evaluating Text2SQL solutions and highlight potential failure causes and the potential risks of relying on aggregate metric…

cs.LG2020

On sampling from data with duplicate records

Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas

Data deduplication is the task of detecting records in a database that correspond to the same real-world entity. Our goal is to develop a procedure that samples uniformly from the…

cs.LG2020★ 6 cited

Record fusion: A learning approach

Alireza Heidari, George Michalopoulos, Shrinu Kushagra +2

Record fusion is the task of aggregating multiple records that correspond to the same real-world entity in a database. We can view record fusion as a machine learning problem where…

cs.LG2019★ 4 cited

Approximate Inference in Structured Instances with Noisy Categorical Observations

Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas

We study the problem of recovering the latent ground truth labeling of a structured instance with categorical random variables in the presence of noisy observations. We present a n…

cs.LG2018

Semi-supervised clustering for de-duplication

Shrinu Kushagra, Shai Ben-David, Ihab Ilyas

Data de-duplication is the task of detecting multiple records that correspond to the same real-world entity in a database. In this work, we view de-duplication as a clustering prob…