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06/21/2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
Hyperparameters of Deep Learning (DL) pipelines are crucial for their do...
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11/03/2022
Towards Discovering Neural Architectures from Scratch
The discovery of neural architectures from scratch is the long-standing ...
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07/16/2022
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning
Self-Supervised Learning (SSL) has become a very active area of Deep Lea...
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04/23/2022
Ï€BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Bayesian optimization (BO) has become an established framework and popul...
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10/25/2020
Hyperparameter Transfer Across Developer Adjustments
After developer adjustments to a machine learning (ML) algorithm, how ca...
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12/31/2018
