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05/31/2023
AI for Low-Code for AI
Low-code programming allows citizen developers to create programs with m...
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01/30/2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning
Training deep networks and tuning hyperparameters on large datasets is c...
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10/11/2022
Navigating Ensemble Configurations for Algorithmic Fairness
Bias mitigators can improve algorithmic fairness in machine learning mod...
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09/13/2022
Exploring Code Style Transfer with Neural Networks
Style is a significant component of natural language text, reflecting a ...
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02/01/2022
An Empirical Study of Modular Bias Mitigators and Ensembles
There are several bias mitigators that can reduce algorithmic bias in ma...
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10/12/2020
Thinking Fast and Slow in AI
This paper proposes a research direction to advance AI which draws inspi...
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07/04/2020
Lale: Consistent Automated Machine Learning
Automated machine learning makes it easier for data scientists to develo...
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06/30/2020
Mining Documentation to Extract Hyperparameter Schemas
AI automation tools need machine-readable hyperparameter schemas to defi...
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05/24/2019
Type-Driven Automated Learning with Lale
Machine-learning automation tools, ranging from humble grid-search to hy...
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03/19/2019
A semi-supervised deep learning algorithm for abnormal EEG identification
Systems that can automatically analyze EEG signals can aid neurologists ...
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12/06/2018