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Yonggang Li

2 accepted papers

2023

Differentiable Architecture Search With Random Features

CVPR 2023poster

Differentiable architecture search (DARTS) has significantly promoted the development of NAS techniques because of its high search efficiency and effectiveness but suffers from performance collapse. In this paper, we make efforts to alleviate the performance collapse problem for DARTS from two aspec…

Cited by 16SourcePDFScholar
2020

DADA: Differentiable Automatic Data Augmentation

ECCV 2020poster

Data augmentation (DA) techniques aim to increase data variability, and thus train deep networks with better generalisation. The pioneering AutoAugment automated the search for optimal DA policies with reinforcement learning. However, AutoAugment is extremely computationally expensive, limiting its…