29 citations · 29 across the 4 of their papers we have counts for
4 papers
USDC: Unified Static and Dynamic Compression for Visual Transformer
Huan Yuan, Chao Liao, Jianchao Tan +5
Visual Transformers have achieved great success in almost all vision tasks, such as classification, detection, and so on. However, the model complexity and the inference speed of t…
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen, Huan Yuan, Jianchao Tan +3
Brain-inspired Spiking Neural Networks (SNNs) have the characteristics of event-driven and high energy-efficient, which are different from traditional Artificial Neural Networks (A…
Unified Visual Transformer Compression
Shixing Yu, Tianlong Chen, Jiayi Shen +5
Vision transformers (ViTs) have gained popularity recently. Even without customized image operators such as convolutions, ViTs can yield competitive performance when properly train…
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo, Huan Yuan, Jianchao Tan +3
Model compression techniques are recently gaining explosive attention for obtaining efficient AI models for various real-time applications. Channel pruning is one important compres…