output
20182026
most citedLegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision

50 citations

Showing 2021Show all

6 papers · 1 filter

cond-mat.mtrl-sci2021★ 32 cited

Topological materials for full-vector elastic waves

Ying Wu, Jiuyang Lu, Xueqin Huang +6

Elastic wave manipulation is important in a wide variety of scales in applications including information processing in tiny elastic devices and noise control in big solid structure…

cs.CV2021★ 50 cited

LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision

Rui Han, Qinglong Zhang, Chi Harold Liu +3

Deep neural networks (DNNs) have become ubiquitous techniques in mobile and embedded systems for applications such as image/object recognition and classification. The trend of exec…

cs.LG2021★ 42 cited

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Wenzheng Hu, Zhengping Che, Ning Liu +4

Deep convolutional neural networks are shown to be overkill with high parametric and computational redundancy in many application scenarios, and an increasing number of works have…

cs.OH2021★ 10 cited

Research on Brick Schema Representation for Building Operation with Variable Refrigerant Flow Systems

Jingming Li, Nianping Li, Rui Yan +3

Building metadata is regarded as the signpost in organizing massive building data. The application of building metadata simplifies the creation of digital representations and provi…

cs.CV2021★ 3 cited

Human Pose Transfer with Augmented Disentangled Feature Consistency

Kun Wu, Chengxiang Yin, Zhengping Che +4

Deep generative models have made great progress in synthesizing images with arbitrary human poses and transferring poses of one person to others. Though many different methods have…

cs.LG2021★ 12 cited

Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?

Ning Liu, Geng Yuan, Zhengping Che +7

In deep model compression, the recent finding "Lottery Ticket Hypothesis" (LTH) (Frankle & Carbin, 2018) pointed out that there could exist a winning ticket (i.e., a properly prune…