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08/20/2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
Data preprocessing is a crucial step in the machine learning process tha...
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06/28/2023
Graph Interpolation via Fast Fused-Gromovization
Graph data augmentation has proven to be effective in enhancing the gene...
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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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10/28/2022
M^3Care: Learning with Missing Modalities in Multimodal Healthcare Data
Multimodal electronic health record (EHR) data are widely used in clinic...
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10/28/2022
Domain Generalization through the Lens of Angular Invariance
Domain generalization (DG) aims at generalizing a classifier trained on ...
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09/15/2022
iFlipper: Label Flipping for Individual Fairness
As machine learning becomes prevalent, mitigating any unfairness present...
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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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04/21/2022
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering
In healthcare prediction tasks, it is essential to exploit the correlati...
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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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03/13/2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Machine learning (ML) is increasingly being used to make decisions in ou...
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03/07/2021
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
Fuzzy similarity join is an important database operator widely used in p...
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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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08/16/2019
AutoER: Automated Entity Resolution using Generative Modelling
Entity resolution (ER) refers to the problem of identifying records in o...
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04/20/2019
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]
It is widely recognized that the data quality affects machine learning (...
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03/11/2019
GOGGLES: Automatic Training Data Generation with Affinity Coding
Generating large labeled training data is becoming the biggest bottlenec...
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11/01/2018
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions
Drug-drug interactions (DDIs) are a major cause of preventable hospitali...
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09/14/2017
