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05/28/2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Methods for carefully selecting or generating a small set of training da...
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06/11/2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Despite the great successes achieved by deep neural networks (DNNs), rec...
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02/15/2021
A Data Quality-Driven View of MLOps
Developing machine learning models can be seen as a process similar to t...
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10/19/2020
Online Active Model Selection for Pre-trained Classifiers
Given k pre-trained classifiers and a stream of unlabeled data examples,...
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07/29/2020
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph
To automate the generation of interactive features, recent methods are 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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10/10/2019
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation
Graph Convolutional Network (GCN) has attracted intensive interests rece...
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08/22/2019
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Given a data set D containing millions of data points and a data consume...
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02/27/2019
Towards Efficient Data Valuation Based on the Shapley Value
"How much is my data worth?" is an increasingly common question posed by...
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02/14/2018