1 citations · 1 across the 2 of their papers we have counts for
6 papers
Multi-view Contrastive Learning for Online Knowledge Distillation
Chuanguang Yang, Zhulin An, Yongjun Xu
Previous Online Knowledge Distillation (OKD) often carries out mutually exchanging probability distributions, but neglects the useful representational knowledge. We therefore propo…
Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants
Hui Zhu, Zhulin An, Kaiqiang Xu +2
Existing approaches to improve the performances of convolutional neural networks by optimizing the local architectures or deepening the networks tend to increase the size of models…
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners
Xiaolong Hu, Zhulin An, Chuanguang Yang +3
Convolutional neural networks (ConvNets) are widely used in real life. People usually use ConvNets which pre-trained on a fixed number of classes. However, for different applicatio…
Rethinking the Number of Channels for the Convolutional Neural Network
Hui Zhu, Zhulin An, Chuanguang Yang +3
Latest algorithms for automatic neural architecture search perform remarkable but few of them can effectively design the number of channels for convolutional neural networks and co…
Gated Convolutional Networks with Hybrid Connectivity for Image Classification
Chuanguang Yang, Zhulin An, Hui Zhu +5
We propose a simple yet effective method to reduce the redundancy of DenseNet by substantially decreasing the number of stacked modules by replacing the original bottleneck by our…
EENA: Efficient Evolution of Neural Architecture
Hui Zhu, Zhulin An, Chuanguang Yang +3
Latest algorithms for automatic neural architecture search perform remarkable but are basically directionless in search space and computational expensive in training of every inter…