95 citations · 269 across the 19 of their papers we have counts for
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cs.CV2021★ 2 cited
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang, Lichao Huang, Elliot J. Crowley
The goal of contrastive learning based pre-training is to leverage large quantities of unlabeled data to produce a model that can be readily adapted downstream. Current approaches…
cs.LG2021
Neural Architecture Search as Program Transformation Exploration
Jack Turner, Elliot J. Crowley, Michael O'Boyle
Improving the performance of deep neural networks (DNNs) is important to both the compiler and neural architecture search (NAS) communities. Compilers apply program transformations…