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07/16/2022
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
One-shot Neural Architecture Search (NAS) has been widely used to discov...
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07/31/2021
Greedy Network Enlarging
Recent studies on deep convolutional neural networks present a simple pa...
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06/30/2021
Augmented Shortcuts for Vision Transformers
Transformer models have achieved great progress on computer vision tasks...
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06/21/2021
Federated Learning with Positive and Unlabeled Data
We study the problem of learning from positive and unlabeled (PU) data i...
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03/10/2021
Manifold Regularized Dynamic Network Pruning
Neural network pruning is an essential approach for reducing the computa...
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01/21/2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Modern single image super-resolution (SISR) system based on convolutiona...
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12/01/2020
