125 citations · 409 across the 32 of their papers we have counts for
8 papers · 1 filter
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu +4
For practical deep neural network design on mobile devices, it is essential to consider the constraints incurred by the computational resources and the inference latency in various…
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…
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
Xuefan Zha, Wentao Zhu, Tingxun Lv +2
Spatio-temporal representational learning has been widely adopted in various fields such as action recognition, video object segmentation, and action anticipation. Previous spatio-…
Hand Image Understanding via Deep Multi-Task Learning
Xiong Zhang, Hongsheng Huang, Jianchao Tan +5
Analyzing and understanding hand information from multimedia materials like images or videos is important for many real world applications and remains active in research community.…
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
Haotao Wang, Tianlong Chen, Shupeng Gui +3
Adversarial training and its many variants substantially improve deep network robustness, yet at the cost of compromising standard accuracy. Moreover, the training process is heavy…
Neural Network Activation Quantization with Bitwise Information Bottlenecks
Xichuan Zhou, Kui Liu, Cong Shi +2
Recent researches on information bottleneck shed new light on the continuous attempts to open the black box of neural signal encoding. Inspired by the problem of lossy signal compr…