DARTS typically refers to Differentiable Architecture Search (DARTS). It is a neural architecture search algorithm that uses gradient-based optimization to find optimal neural network architectures. Instead of searching over a discrete set of architectures, DARTS relaxes the search space to be continuous, allowing for efficient gradient-based optimization. This approach has been used to discover architectures for image classification, language modeling, and other tasks.
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