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Found 2 papers, 1 papers with code
Adaptive Split-Fusion Transformer
Neural networks for visual content understanding have recently evolved from convolutional ones (CNNs) to transformers.
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
Based on this correlation, we further demonstrate that, though the reward of NAS is sparse, the policy gradient method implicitly assign the reward to all operations and skip connections based on the sampling frequency.
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