Yong Guo
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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Discrimination-aware Channel Pruning for Deep Neural Networks
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Contrastive Neural Architecture Search with Neural Architecture Comparators
Towards Lightweight Super-Resolution with Dual Regression Learning
Automated Dominative Subspace Mining for Efficient Neural Architecture Search
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Content-Aware Convolutional Neural Networks
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Multi-way Backpropagation for Training Compact Deep Neural Networks
Improving Generative Adversarial Networks with Local Coordinate Coding
Disturbance-immune Weight Sharing for Neural Architecture Search
Discrimination-aware Network Pruning for Deep Model Compression
Deep View Synthesis via Self-Consistent Generative Network
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