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11/25/2022
MAEDAY: MAE for few and zero shot AnomalY-Detection
The goal of Anomaly-Detection (AD) is to identify outliers, or outlying ...
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09/18/2020
Generating Efficient DNN-Ensembles with Evolutionary Computation
In this work, we leverage ensemble learning as a tool for the creation o...
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09/24/2019
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Deep neural networks achieve outstanding results in challenging image cl...
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01/17/2019
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Application of neural networks to a vast variety of practical applicatio...
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03/26/2018
BAGAN: Data Augmentation with Balancing GAN
Image classification datasets are often imbalanced, characteristic that ...
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03/26/2018
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
In the deep-learning community new algorithms are published at an incred...
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11/08/2017