K-Shot Contrastive Learning of Visual Features With Multiple Instance Augment…
In this paper, we propose the K -Shot Contrastive Learning (KSCL) of visual features by applying multiple augmentations to investigate the sample variations within individual instances. It aims to …
Partially-Connected Neural Architecture Search for Reduced Computational Redu…
Differentiable architecture search (DARTS) enables effective neural architecture search (NAS) using gradient descent, but suffers from high memory and computational costs. In this paper, we propose…
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