Nezihe Merve Gürel | DeepAI

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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...

0 Patrik Okanovic, et al. ∙

∙ 06/11/2021

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks

Despite the great successes achieved by deep neural networks (DNNs), rec...

0 Nezihe Merve Gürel, et al. ∙

∙ 02/15/2021

A Data Quality-Driven View of MLOps

Developing machine learning models can be seen as a process similar to t...

0 Cedric Renggli, et al. ∙

∙ 10/19/2020

Online Active Model Selection for Pre-trained Classifiers

Given k pre-trained classifiers and a stream of unlabeled data examples,...

0 Mohammad Reza Karimi, et al. ∙

∙ 07/29/2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph

To automate the generation of interactive features, recent methods are p...

3 Yuexiang Xie, et al. ∙

∙ 05/11/2020

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

Machine learning (ML) applications have been thriving recently, largely ...

9 Bojan Karlas, et al. ∙

∙ 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...

28 Nezihe Merve Gürel, et al. ∙

∙ 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...

11 Ruoxi Jia, et al. ∙

∙ 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...

17 Ruoxi Jia, et al. ∙

∙ 02/14/2018

Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond

Modern scientific instruments produce vast amounts of data, which can ov...

0 Nezihe Merve Gürel, et al. ∙

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